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Note: This page contains sample records for the topic "industrial price electric" 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

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

2

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

3

The Role of Electricity Pricing Policy in Industrial Siting Decisions  

E-Print Network [OSTI]

maintenance business of our subsidiary Catalytic, Inc. The locational decision pattern of Air Pro ducts is a typical example of the herding in stinct of industrial plants. Very often our first investment in a new area is prompted by the need of other...~ric service in the U.S. and Europe. The methodology most utilities employ in forecasting peak demand for the purpose of planning new generation capacity excludes the demands of interruptible industrial customers. This exclusion alIto matically avoids...

Tam, C. S.

1981-01-01T23:59:59.000Z

4

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.

5

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

6

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

7

"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

8

Average Commercial Price  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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...

9

Natural Gas Industrial Price  

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

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...

10

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

11

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

12

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

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

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

13

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.

14

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

15

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

16

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

17

Rising Oil Prices Hit Chemical Industry  

Science Journals Connector (OSTI)

Rising Oil Prices Hit Chemical Industry ... Rising petroleum prices have dogged chemical makers for more than a year, and in the third quarter, the situation has only gotten worse. ... Although chemical makers had factored high feedstock costs into their planning, the recent sudden spikes in oil costs may have caught the industry off guard. ...

ALEX TULLO

2000-09-18T23:59:59.000Z

18

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

19

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

20

Price dispersion in the airline industry: the effect of industry elasticity and cross-price elasticity  

E-Print Network [OSTI]

This dissertation analyzes the sources of price dispersion due to the price discrimination in the U.S. airline industry. Using the multi-stage budgeting approach with the almost ideal demand system (AIDS) specification, we estimate demand for air...

Kim, Jong Ho

2009-06-02T23:59:59.000Z

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


21

Electricity 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

22

AN ECONOMETRIC ANALYSIS OF ZAMBIAN INDUSTRIAL ELECTRICITY DEMAND.  

E-Print Network [OSTI]

??The purpose of this thesis is twofold: to examine the electricity use in Zambia’s mining industry by focusing on own-price, cross price and index of… (more)

Chama, Yoram Chama

2012-01-01T23:59:59.000Z

23

Electric Utility Industry Update  

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

Electric Utility Industry Update Electric Utility Industry Update Steve Kiesner Director, National Customer Markets Edison Electric Institute FUPWG Spring 2012 April 12, 2012 Edison Electric Institute ï‚› Investor-Owned Electric Companies ï‚› Membership includes ï‚› 200 US companies, ï‚› More than 65 international affiliates and ï‚› 170 associates ï‚› US members ï‚› Serve more than 95% of the ultimate customers in the investor-owned segment of the industry and ï‚› Nearly 70% of all electric utility ultimate customers, and ï‚› Our mission focuses on advocating public policy; expanding market opportunities; and providing strategic business information Agenda ï‚›Significant Industry Trends ï‚›Utility Infrastructure Investments ï‚›Generation and Fuel Landscape

24

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

25

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...

26

The Effects of Price Transparency Regulation on Prices in the Healthcare Industry  

E-Print Network [OSTI]

The Effects of Price Transparency Regulation on Prices in the Healthcare Industry Hans B Policymakers have enacted price transparency regulations in over thirty states during the past decade-state variation to address endogeneity concerns, we find that price transparency regulations reduce the price

Mateo, Jill M.

27

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

28

Empirical Regularities of Asymmetric Pricing in the Gasoline Industry  

E-Print Network [OSTI]

Empirical Regularities of Asymmetric Pricing in the Gasoline Industry Marc Remer August 2, 2010 pricing in the retail gasoline industry, and also documents empirical regularities in the market. I find of asymmetric price movements in the retail gasoline industry. Yet, there is no general agreement as to whether

Niebur, Ernst

29

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

30

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...

31

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

32

Coking Coal Prices for Industry - EIA  

Gasoline and Diesel Fuel Update (EIA)

Prices for Industry for Selected Countries1 Prices for Industry 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 37.24 NA NA NA Austria NA NA NA NA NA NA NA NA NA Belgium 54.03 NA NA NA NA NA NA NA NA Brazil NA NA NA NA NA 106.77 NA NA NA Canada NA NA NA NA NA NA NA NA NA Chile NA NA NA NA NA 69.02 NA NA NA China NA 38.38 41.28 52.20 61.72 NA NA NA NA Chinese Taipei (Taiwan) - - - - - - - - - - - - - - - - - - Colombia NA NA NA NA NA 33.84 NA NA NA Costa Rica NA NA NA NA NA NA NA NA NA Cuba NA NA NA NA NA NA NA NA NA Czech Republic 51.37 61.04 C C C C C C C Denmark - - - - - - - - - - - - - - - - - -

33

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

34

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

Broader source: Energy.gov [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...

35

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

36

,"New York Natural Gas Industrial Price (Dollars per Thousand...  

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

,,"(202) 586-8800",,,"182015 12:47:18 PM" "Back to Contents","Data 1: New York Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"...

37

,"New York Natural Gas Industrial Price (Dollars per Thousand...  

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

,,"(202) 586-8800",,,"182015 12:47:17 PM" "Back to Contents","Data 1: New York Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"...

38

,"Connecticut Natural Gas Industrial Price (Dollars per Thousand...  

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

,,"(202) 586-8800",,,"1162014 3:02:15 PM" "Back to Contents","Data 1: Connecticut Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"...

39

Carbon pricing, nuclear power and electricity markets  

SciTech Connect (OSTI)

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

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

2012-07-01T23:59:59.000Z

40

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

Note: This page contains sample records for the topic "industrial price electric" 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

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.

42

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

43

Percentage of Total Natural Gas Industrial Deliveries included...  

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

Industrial Price Percentage of Total Industrial Deliveries included in Prices Vehicle Fuel Price Electric Power Price Period: Monthly Annual Download Series History Download...

44

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

45

Price Responsive Demand in New York Wholesale Electricity Market using  

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

46

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

47

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

48

Electric Utility Industrial Conservation Programs  

E-Print Network [OSTI]

Electrical Machinery and Equip. 7.0 3.3 3 7.6 3.0 10 7 0 10.8 100.0 90 11.9 100.0 353,5 4 * Total of 12 Industry Maximum Demand s is 832 MW. *..', Total of 12 Industry Annual Electricity Consumption is 2,981,090 Mlm. 723 ESL-IE-83-04-114 Proceedings... Electrical Machinery and Equip. 7.0 3.3 3 7.6 3.0 10 7 0 10.8 100.0 90 11.9 100.0 353,5 4 * Total of 12 Industry Maximum Demand s is 832 MW. *..', Total of 12 Industry Annual Electricity Consumption is 2,981,090 Mlm. 723 ESL-IE-83-04-114 Proceedings...

Norland, D. L.

1983-01-01T23:59:59.000Z

49

,"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...

50

,"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...

51

,"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...

52

,"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...

53

,"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...

54

,"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...

55

,"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...

56

,"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...

57

,"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...

58

,"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...

59

,"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...

60

,"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...

Note: This page contains sample records for the topic "industrial price electric" 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

,"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...

62

,"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...

63

,"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...

64

,"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...

65

,"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...

66

,"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...

67

,"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...

68

,"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...

69

,"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...

70

,"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...

71

,"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...

72

,"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...

73

,"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...

74

,"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...

75

,"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...

76

,"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...

77

,"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...

78

,"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...

79

,"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...

80

,"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...

Note: This page contains sample records for the topic "industrial price electric" 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

,"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...

82

,"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...

83

,"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...

84

,"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...

85

,"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...

86

,"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...

87

,"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...

88

,"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...

89

,"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...

90

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

91

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...

92

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

SciTech Connect (OSTI)

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

Brand, Stefanie A.

2010-07-15T23:59:59.000Z

93

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

94

The Changing Structure of the Electric Power Industry: An Update  

Gasoline and Diesel Fuel Update (EIA)

Industry: An Update 44 Green Pricing Utilities can encourage the development of renewable energy through "green pricing" programs for residential, commercial, and industrial...

95

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.

96

Reshaping the electricity supply industry  

SciTech Connect (OSTI)

Cigre`s Electra magazine published this interview with Alfonso Limbruno, CEO of ENEL S.p.A. To put the interview in perspective, this article begins with a brief overview of ENEL and a biographical sketch of Alfonso Limbruno, and also carries comments from Y. Thomas, secretary general of CIGRE. ENEL is a vertically integrated nationwide electricity company engaged in the generation, transmission, distribution, and sale of electricity, predominantly in Italy. ENEL`s share accounts for approximately 80 percent of Italian electricity demand. Measured by amount of electricity sold, ENEL is the third largest electric utility in the OECD countries and the second largest electric utility in Europe. Measured by revenues, ENEL is one of the largest companies in Italy, with a turnover of Lit. 37,632 billion. In 1995, ENEL served approximately 28.5 million customers and sold 211,607 GWh of electricity. ENEL`s gross installed generating capacity at December 31, 1995 was 55,906 MW. Alfonso Limbruno made all his career in the Italian electricity supply industry (ESI) and has had quite a unique experience: he went through a complete cycle of change of the ESI in his country, the nationalization of the sector in 1962 with the merging in ENEL of over 1,200 undertakings, and now the privatization of the company, along with a far reaching restructuring of the industry. He was appointed CEO of ENEL in August 1992.

NONE

1997-03-01T23:59:59.000Z

97

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"

98

Global Climate Change Electric Power Industry  

E-Print Network [OSTI]

of energy to generate electricity. There is a long history of electricity regulation in some nations-4430 USA Chapter Summary The warming of the atmosphere and the oceans has been attributed to the release, regulations and financial incentives to "put a price on carbon." That price could come from either a carbon

Ford, Andrew

99

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"

100

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)

Note: This page contains sample records for the topic "industrial price electric" 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

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

102

Status of State Electric Industry Restructuring Activity  

Reports and Publications (EIA)

Presents an overview of the status of electric industry restructuring in each state. Restructuring means that a monopoly system of electric utilities has been replaced with competing sellers.

2010-01-01T23:59:59.000Z

103

,"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)"...

104

,"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...

105

,"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...

106

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

107

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

108

International Coal Prices for Industry- EIA  

Gasoline and Diesel Fuel Update (EIA)

Industry for Selected Countries1 Industry 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 37.24 NA NA NA Australia NA NA NA NA NA NA NA NA NA Austria 55.54 74.15 86.26 168.56 175.88 178.48 199.93 245.60 239.30 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 NA NA NA Bulgaria NA NA NA NA NA NA NA NA NA Canada NA NA NA NA NA NA NA NA NA Chile NA NA NA NA NA NA NA NA NA China 27.15 30.40 32.14 43.17 NA NA NA NA NA Chinese Taipei (Taiwan) NA NA NA NA NA NA NA NA NA Colombia NA NA NA NA NA NA 42.85 49.66 NA

109

Geothermal Power: Meeting the Challenge of Electric Price Stabilization in  

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

110

Impact of Industrial Electric Rate Structure on Energy Conservation - A Utility Viewpiont  

E-Print Network [OSTI]

As the price of energy rises, changes in industrial electric rates will have an impact on energy usage and conservation. Utilities interested in reducing system peak demands may reflect this need in the rate structure as an incentive...

Williams, M. M.

1981-01-01T23:59:59.000Z

111

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

112

Electricity Market Module: Electricity finance and pricing submodule  

SciTech Connect (OSTI)

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

113

Impact of petroleum prices on the natural rubber industry  

SciTech Connect (OSTI)

This study is concerned with a quantitative investigation of the natural rubber industry. The objective is to determine the impact of increased petroleum prices on the natural rubber industry. To pursue this objective, an annual equilibrium market model for the world natural rubber industry is developed that consists of three sets of equations that explain consumption, production, and stockholding of natural rubber. The price of natural rubber in the world market is hypothesized to be endogenously determined by the world supply, world demand, and world stockholding of natural rubber. The two-stage least squares procedure was used to estimate the parameters of the behavioral equations in the model. The data were obtained primarily from various issues of the Rubber Statistical Bulletin, International Financial Statistics Yearbook and Malaysia's Quarterly Economics bulletin. The study covers the period of 1962-1984. The model was simulated (1) to determine its predictive performance and stability during the sample period and (2) to examine the impact of increased petroleum prices on the natural rubber industry.

Jajri, I.B.

1987-01-01T23:59:59.000Z

114

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.

115

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

116

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

117

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

118

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

119

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

120

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 "industrial price electric" 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

The Impact of Oil Prices on the Air Transportation Industry  

E-Print Network [OSTI]

......................................................................................................................................14 2 FUEL PRICE IMPACT ON AIRLINE OPERATIONS .......................................................................................16 2.1 FUEL EFFICIENCY AND FUEL PRICE..............................................................................................................................29 2.7 UNDERSTANDING FUEL PRICE IMPACTS THROUGH AIRLINE INTERVIEWS

Hill, Wendell T.

122

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

Broader source: Energy.gov [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.

123

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.

124

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

125

Critical Issues Facing Federal Customers and the Electric Industry: A Call to Partnering  

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

Issues Facing Federal Issues Facing Federal Critical Issues Facing Federal Customers and the Electric Industry: Customers and the Electric Industry: A Call to Partnering A Call to Partnering Steve Kiesner Director, National Customer Markets Edison Electric Institute FUPWG November 28, 2007 Overview  State of the industry  Review recent Energy Infrastructure Picture State of the Industry State of the Industry The Challenge of Balancing Core Drivers The Challenge of Balancing Core Drivers Rising Costs Rising Costs and Prices and Prices Climate Climate Change Change Energy Energy Efficiency Efficiency Enormous Enormous CapEx CapEx No longer a declining cost industry Fuel, infrastructure components, global industrialization and competition $ 750 Billion  $ 1.2 Trillion Exceeds current capitalization

126

Barron Electric Cooperative - Commercial, Industrial, and Agricultural  

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

Barron Electric Cooperative - Commercial, Industrial, and Barron Electric Cooperative - Commercial, Industrial, and Agricultural Energy Efficiency Rebate Program Barron Electric Cooperative - Commercial, Industrial, and Agricultural Energy Efficiency Rebate Program < Back Eligibility Agricultural Commercial Industrial Savings Category Other Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate $10,000 per account, not to exceed 20% of cost Scroll Refrigeration Compressors: $500 Variable Speed/Frequency Drive Motor: $500 Variable Speed Compressed Air Motor: $500 Energy Audit: One in Five Years Program Info State Wisconsin Program Type Utility Rebate Program Rebate Amount Energy Audit: Free General Lighting: $1 - $15/unit LED Lamps: $2/bulb

127

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

128

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

129

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

130

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

131

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

132

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

133

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

134

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.

135

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

136

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

137

A Brief History of the Electricity Industry  

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

data and evaluating electricity data and evaluating electricity restructuring James Bushnell University of California Energy Inst. www.ucei.berkeley.edu Outline * Shameless flattery - Why EIA data are so important * Why are people so unhappy? - With electricity restructuring * What EIA data have helped us learn - Production efficiencies - Market efficiency - Market competition - Environmental compliance Why EIA is so important * Important industries undergoing historic changes - Restructuring/deregulation - Environmental regulation and markets * We know much more about these industries than others where data are not collected - And much more than the europeans know about their energy industries * Academics and economists flock to data - Much more "open source" knowledge about the functioning of these markets

138

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

139

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

140

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

SciTech Connect (OSTI)

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

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

2005-08-25T23:59:59.000Z

Note: This page contains sample records for the topic "industrial price electric" 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

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

142

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

143

Deregulating the electric utility industry  

E-Print Network [OSTI]

Many functions must be performed in any large electric power system. A specific proposal for a deregulated power system, based on a real-time spot energy marketplace, is presented and analyzed. A central T&D utility acts ...

Bohn, Roger E.

1982-01-01T23:59:59.000Z

144

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

145

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

146

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

147

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

148

Electric industry restructuring in Michigan  

SciTech Connect (OSTI)

This Staff Report suggests a modified approach designed to significantly increase the ability of all customer classes to participate and share in the benefits of competition. The concepts discussed in this Report are designed to ensure that rates are not increased for any customers as a result of restructuring and, where possible, rates are reduced through the use of rate reduction bonds. The program outlined in this Report is designed to fulfill five objectives. First, it protects the interests of smaller customers, including low-income residential customers and senior citizens. Second, the program provides opportunities to strengthen Michigan`s business community. Third, the program includes funding for employee retraining to assure that utility employees are not negatively impacted by restructuring. Fourth, the phase-in program provides the utilities with the opportunity to prepare for competition so that they remain Michigan-based companies. Fifth, the program is designed to foster competition upon a level playing field. The Commission has jurisdiction over all investor electric utilities and rural electric cooperatives in Michigan. Municipal electric utilities are not subject to Commission jurisdiction. Although this Report discusses details regarding Consumers Power and Detroit Edison, its concepts and principles are intended to apply to all jurisdictional electric utilities.

NONE

1997-12-31T23:59:59.000Z

149

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

150

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

151

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

SciTech Connect (OSTI)

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

Hirst, E.; Hadley, S.

1999-10-01T23:59:59.000Z

152

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"

153

Form EIA-861, "Annual Electric Power Industry Report." | OpenEI  

Open Energy Info (EERE)

1, "Annual Electric Power Industry Report." 1, "Annual Electric Power Industry Report." Dataset Summary Description This is an electric utility data file that includes such information as peak load, generation, electric purchases, sales, revenues, customer counts and demand-side management programs, green pricing and net metering programs, and distributed generation capacity. The data source is the survey Form EIA-861, "Annual Electric Power Industry Report." Data for all years are final. The file F861yr09.exe is a file of data collected on the Form EIA-861, Annual Electric Power Industry Report, for the reporting period, calendar year 2009. The zipped .exe file contains 11 .xls files and one Word file, and a .pdf of the Form EIA-861. The data file structure detailed here also applies to data files for prior

154

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

155

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

156

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

157

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

158

"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"

159

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

160

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

Note: This page contains sample records for the topic "industrial price electric" 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

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

162

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

163

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

164

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

165

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...

166

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

167

Understanding electric industrial ecosystems through exergy  

Science Journals Connector (OSTI)

The focus of this study is to enhance the way of thinking that human activities cannot be separated from the functioning of the entire system on Earth. Learning from Nature means to accept that the technical systems and processes involving energy conversion ... Keywords: electric system, energy conversion, exergy, industrial ecology

Cornelia A. Bulucea; Doru A. Nicola; Nikos E. Mastorakis; Marc A. Rosen

2011-02-01T23:59:59.000Z

168

Industrial Attitudes to Petroleum Prices: Policies and Energy Efficiency  

E-Print Network [OSTI]

Beginning in 2001, the US began to see sharp increases and volatility in what had been historically low natural gas prices. The traditional response to events such as this had been to switch fuels when possible and negotiate more attractive price...

Shipley, A. M.; Langer, T.; Black, S.

2007-01-01T23:59:59.000Z

169

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.

170

Prices of robustness and reblending in oil industry Stefan Janaqi.* Jorge Aguilera*. Meriam Chbre**  

E-Print Network [OSTI]

Prices of robustness and reblending in oil industry Stefan Janaqi.* Jorge Aguilera*. Meriam Chébre. In this paper we present a method to calculate the prices of robustness and reblending through a robust real-time optimization method for the on-line linear oil blending process. Our approach places this problem in a wider

Paris-Sud XI, Université de

171

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

172

NYSEG (Electric) - Commercial and Industrial Efficiency Program |  

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

Commercial and Industrial Efficiency Program Commercial and Industrial Efficiency Program NYSEG (Electric) - Commercial and Industrial Efficiency Program < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit State Government Tribal Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate No maximum per customer rebate; however, NYSEG/RG&E reserve the right to cap the rebate to any one customer. Program Info State New York Program Type Utility Rebate Program Rebate Amount Lighting, HVAC: Prescriptive incentives vary A/C or Heat Pump A/C or Heat Pump > 63 tons: $25/ton + $5/ton for each 0.1 EER above 9.7 Water Cooled Chillers: $6/ton or $15/ton + $2-$8/ton for each 0.01 kW/ton

173

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

174

Challenges of Electric Power Industry Restructuring for Fuel Suppliers  

Reports and Publications (EIA)

Provides an assessment of the changes in other energy industries that could occur as the result of restructuring in the electric power industry.

1998-01-01T23:59:59.000Z

175

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

176

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

Broader source: Energy.gov [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...

177

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

178

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

179

Electrical Energy Conservation and Load Management - An Industrial User's Viewpoint  

E-Print Network [OSTI]

Conservation of electrical energy and load management can reduce industry's electric bills, conserves natural resources and reduces the need for new generating plants. In recent years, industry has implemented extensive conservation programs. Some...

Jackson, C. E.

1984-01-01T23:59:59.000Z

180

Transition-cost issues for a restructuring US electricity industry  

SciTech Connect (OSTI)

Utilities regulators can use a variety of approaches to calculate transition costs. We categorized these approaches along three dimensions. The first dimension is the use of administrative vs. market procedures to value the assets in question. Administrative approaches use analytical techniques to estimate transition costs. Market valuation relies on the purchase price of particular assets to determine their market values. The second dimension concerns when the valuation is done, either before or after the restructuring of the electricity industry. The third dimension concerns the level of detail involved in the valuation, what is often called top-down vs. bottom-up valuation. This paper discusses estimation approaches, criteria to assess estimation methods, specific approaches to estimating transition costs, factors that affect transition-cost estimates, strategies to address transition costs, who should pay transition costs, and the integration of cost recovery with competitive markets.

NONE

1997-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial price electric" 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

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

182

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

183

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

184

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

185

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

186

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

187

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.

188

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

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Iowa Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035ia3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ia3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

189

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

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035il3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035il3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

190

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

191

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

192

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

193

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

194

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

195

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

196

,"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"...

197

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

SciTech Connect (OSTI)

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

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

2008-05-01T23:59:59.000Z

198

An Analysis of Price Determination and Markups in the Air-Conditioning and Heating Equipment Industry  

SciTech Connect (OSTI)

In this report we calculate the change in final consumer prices due to minimum efficiency standards, focusing on a standard economic model of the air-conditioning and heating equipment (ACHE) wholesale industry. The model examines the relationship between the marginal cost to distribute and sell equipment and the final consumer price in this industry. The model predicts that the impact of a standard on the final consumer price is conditioned by its impact on marginal distribution costs. For example, if a standard raises the marginal cost to distribute and sell equipment a small amount, the model predicts that the standard will raise the final consumer price a small amount as well. Statistical analysis suggest that standards do not increase the amount of labor needed to distribute equipment the same employees needed to sell lower efficiency equipment can sell high efficiency equipment. Labor is a large component of the total marginal cost to distribute and sell air-conditioning and heating equipment. We infer from this that standards have a relatively small impact on ACHE marginal distribution and sale costs. Thus, our model predicts that a standard will have a relatively small impact on final ACHE consumer prices. Our statistical analysis of U.S. Census Bureau wholesale revenue tends to confirm this model prediction. Generalizing, we find that the ratio of manufacturer price to final consumer price prior to a standard tends to exceed the ratio of the change in manufacturer price to the change in final consumer price resulting from a standard. The appendix expands our analysis through a typical distribution chain for commercial and residential air-conditioning and heating equipment.

Dale, Larry; Millstein, Dev; Coughlin, Katie; Van Buskirk, Robert; Rosenquist, Gregory; Lekov, Alex; Bhuyan, Sanjib

2004-01-30T23:59:59.000Z

199

Electric Power Industry Needs for Grid-Scale Storage Applications |  

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

Industry Needs for Grid-Scale Storage Applications Industry Needs for Grid-Scale Storage Applications Electric Power Industry Needs for Grid-Scale Storage Applications Stationary energy storage technologies will address the growing limitations of the electricity infrastructure and meet the increasing demand for renewable energy use. Widespread integration of energy storage devices offers many benefits, including the following: Alleviating momentary electricity interruptions Meeting peak demand Postponing or avoiding upgrades to grid infrastructure Facilitating the integration of high penetrations of renewable energy Providing other ancillary services that can improve the stability and resiliency of the electric grid Electric Power Industry Needs for Grid-Scale Storage Applications More Documents & Publications

200

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.

Note: This page contains sample records for the topic "industrial price electric" 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

Nonlinear Pricing Strategies and Market Concentration in the Airline Industry  

E-Print Network [OSTI]

with a unit mass. Further assume that the reservation utility v is su?ciently high so that the whole market is covered.9 Firmi?s, i = 1;2, decisionproblemconsistsofofieringquality-pricepairs(qiL;piL) and (qiH;piH) that maximize proflts subject... to incentive-compatibility (IC) and par- ticipation constraints, given the other flrm?s quality-price pairs. Formally, Maxp iL;piH;qiL;qiH ?i = ?[(piL ?cqiL)xiL]? q 2 iL 2 +(1??)[(piH ?cqiH)xiH]? q2iH 2 s.t. HqiH ?piH ? HqiL ?piL; (ICH) LqiL ?piL ? LqiH ?pi...

Hernandez Garcia, Manuel A.

2010-10-12T23:59:59.000Z

202

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

203

The Electric Utility Industry--Change and Challenge  

E-Print Network [OSTI]

The Electric Utility Industry? Change and Challenge MICHAEL H. WILLIAMS EXECUTIVE DIRECTOR TEXAS PUBLIC POWER ASSOCIATION AUSTIN, TEXAS The author retraces some of the principle changes in the electric utility industry. He suggests... is heading and help it get there. 420 ESL-IE-87-09-65 Proceedings from the Ninth Annual Industrial Energy Technology Conference, Houston, TX, September 16-18, 1987 For an electric utility to achieve excellence in today's environment, it must have a clear...

Williams, M. H.

204

Energy Efficiency Fund (Electric) - Commercial and Industrial Energy  

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

Energy Efficiency Fund (Electric) - Commercial and Industrial Energy Efficiency Fund (Electric) - Commercial and Industrial Energy Efficiency Programs Energy Efficiency Fund (Electric) - Commercial and Industrial Energy Efficiency Programs < Back Eligibility Commercial Industrial Institutional Local Government Multi-Family Residential State Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Home Weatherization Construction Commercial Weatherization Design & Remodeling Manufacturing Other Windows, Doors, & Skylights Appliances & Electronics Maximum Rebate Contact EEF Program Info State Connecticut Program Type Utility Rebate Program Rebate Amount Incentives Vary Widely Provider Connecticut Light and Power All Connecticut Utilities implement electric and gas efficiency rebate programs funded by Connecticut's public benefits charge through the Energy

205

PPL Electric Utilities- Commercial and Industrial Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

PPL Electric Utilities offers rebates and incentives for commercial and industrial products installed in their service area. The program offers rebates for lighting, heat pumps, refrigeration...

206

The electric power industry : deregulation and market structure  

E-Print Network [OSTI]

The US electricity industry currently consists of vertically integrated regional utilities welding monopolistic power over their own geographic markets under the supervision of state and federally appointed regulators. ...

Thomson, Robert George

1995-01-01T23:59:59.000Z

207

Determining Levels of Productivity and Efficiency in the Electricity Industry  

SciTech Connect (OSTI)

A few major themes run fairly consistently through the history of productivity and efficiency analysis of the electricity industry: environmental controls, economies of scale, and private versus government.

Abbott, Malcolm

2005-11-01T23:59:59.000Z

208

Pricing statistics sourcebook. 5. edition  

SciTech Connect (OSTI)

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

NONE

1999-11-01T23:59:59.000Z

209

Workforce Trends in the Electric Utility Industry | Department of Energy  

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

Trends in the Electric Utility Industry Trends in the Electric Utility Industry Workforce Trends in the Electric Utility Industry Section 1101 of the U.S. Energy Policy Act of 2005 (EPACT)1 calls for a report on the current trends in the workforce of (A) skilled technical personnel that support energy technology industries, and (B) electric power and transmission engineers. It also requests that the Secretary make recommendations (as appropriate) to meet the future labor requirements. Workforce Trends in the Electric Utility Industry More Documents & Publications Statement of Patricia A. Hoffman, Deputy Director of Research and Development and Acting Chief Operating Officer, Office of Electricity Delivery & Energy Reliability, Department of Energy before the Committee on Energy and Natural Resources United States

210

Dakota Electric Association - Commercial and Industrial Custom Energy Grant  

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

Dakota Electric Association - Commercial and Industrial Custom Dakota Electric Association - Commercial and Industrial Custom Energy Grant Program Dakota Electric Association - Commercial and Industrial Custom Energy Grant Program < Back Eligibility Commercial Industrial Savings Category Other Maximum Rebate 50% of total project costs and 100,000 annually in grants/rebates per member. Program Info State Minnesota Program Type Utility Grant Program Rebate Amount 50% of total project costs up to 100,000 Provider Dakota Electric Service Dakota Electric's Custom Energy Grant Program is offered for any commercial or industrial customer that installs qualifying energy-efficient products which exceed conventional models and result in a reduction of electric use, when a specific rebate program is not currently available. Any energy

211

The electricity supply industry in Germany: market power or power of the market?  

Science Journals Connector (OSTI)

This paper analyses the electricity supply industry in Germany, which was liberalized in April 1998. Noticeable aspects are the eligibility of all end-users, the lack of constraints on the vertical industry structure and the option for negotiated third party access. There is no sector-specific regulation. This paper argues that the vertically integrated firms concentrate on excessive network access charges, whereas the stages generation and retail appear to be relatively competitive. Empirical evidence suggests that in Germany network access charges make up a significantly higher share of end-user prices than in the UK, which is used as regulation-benchmark.

Gert Brunekreeft; Katja Keller

2000-01-01T23:59:59.000Z

212

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...

213

ELECTRICITY CONSUMPTION IN THE INDUSTRIAL SECTOR OF JORDAN: APPLICATION OF MULTIVARIATE LINEAR REGRESSION AND ADAPTIVE NEURO?FUZZY TECHNIQUES  

Science Journals Connector (OSTI)

In this study two techniques for modeling electricity consumption of the Jordanian industrial sector are presented: (i) multivariate linear regression and (ii) neuro?fuzzy models. Electricity consumption is modeled as function of different variables such as number of establishments number of employees electricity tariff prevailing fuel prices production outputs capacity utilizations and structural effects. It was found that industrial production and capacity utilization are the most important variables that have significant effect on future electrical power demand. The results showed that both the multivariate linear regression and neuro?fuzzy models are generally comparable and can be used adequately to simulate industrial electricity consumption. However comparison that is based on the square root average squared error of data suggests that the neuro?fuzzy model performs slightly better for future prediction of electricity consumption than the multivariate linear regression model. Such results are in full agreement with similar work using different methods for other countries.

M. Samhouri; A. Al?Ghandoor; R. H. Fouad

2009-01-01T23:59:59.000Z

214

Salem Electric - Residential, Commercial, and Industrial Efficiency Rebate  

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

Salem Electric - Residential, Commercial, and Industrial Efficiency Salem Electric - Residential, Commercial, and Industrial Efficiency Rebate Program Salem Electric - Residential, Commercial, and Industrial Efficiency Rebate Program < Back Eligibility Commercial Fed. Government Industrial Local Government Multi-Family Residential Nonprofit Residential State Government Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Sealing Your Home Ventilation Manufacturing Heating & Cooling Commercial Heating & Cooling Heat Pumps Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Maximum Rebate ENERGY Star Light Fixtures: Not to exceed 50% of the fixture cost Program Info State Oregon Program Type Utility Rebate Program Rebate Amount Refrigerators: $60 Freezers: $60 Clothes Washers: $60

215

Duke Energy (Electric) - Commercial and Industrial Energy Efficiency Rebate  

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

Duke Energy (Electric) - Commercial and Industrial Energy Duke Energy (Electric) - Commercial and Industrial Energy Efficiency Rebate Program Duke Energy (Electric) - Commercial and Industrial Energy Efficiency Rebate Program < Back Eligibility Commercial Industrial Institutional Local Government Nonprofit Schools Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Other Construction Commercial Weatherization Heat Pumps Appliances & Electronics Commercial Lighting Lighting Water Heating Home Weatherization Windows, Doors, & Skylights Maximum Rebate Commercial Incentives: $50,000 per fiscal year, per facility for all eligible technologies combined Custom Incentives: 50% of incremental cost Most Prescriptive Incentives: 50% of equipment cost Custom Incentives: 50% of incremental cost

216

DTE Energy (Electric) - Commercial and Industrial Energy Efficiency Program  

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

DTE Energy (Electric) - Commercial and Industrial Energy Efficiency DTE Energy (Electric) - Commercial and Industrial Energy Efficiency Program DTE Energy (Electric) - Commercial and Industrial Energy Efficiency Program < Back Eligibility Commercial Industrial Institutional Local Government State Government Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Cooling Appliances & Electronics Manufacturing Other Construction Heat Pumps Commercial Lighting Lighting Insulation Design & Remodeling Water Heating Windows, Doors, & Skylights Maximum Rebate Facility: $200,000 Project: $200,000 Customer: $750,000 Program Info State Michigan Program Type Utility Rebate Program Rebate Amount Custom Measures: $0.08/kWh first year energy savings Lighting: Varies ECM Motors/Controls: Varies

217

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

218

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

219

Lincoln Electric System (Commercial and Industrial) - Sustainable Energy  

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

Commercial and Industrial) - Sustainable Commercial and Industrial) - Sustainable Energy Program Lincoln Electric System (Commercial and Industrial) - Sustainable Energy Program < Back Eligibility Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Construction Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate '''General Incentive Limits''' Commercial Industrial Lighting Retrofit: $100,000 per program year Commercial and Industrial Energy Efficiency: $100,000 per program year Program Info State Nebraska Program Type Utility Rebate Program Rebate Amount Commercial Industrial Lighting Retrofit Lighting Retrofit: $500/kW of peak-demand reduction

220

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 "industrial price electric" 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

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

222

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

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

223

,"Colorado Natural Gas Industrial Price (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:","n3035co3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035co3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:00 PM" "Back to Contents","Data 1: Colorado Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035CO3" "Date","Colorado Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,9.36 36937,10.07

224

,"Alabama Natural Gas Industrial Price (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:","n3035al3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035al3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:23:53 PM" "Back to Contents","Data 1: Alabama Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035AL3" "Date","Alabama Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,9.55 36937,8.54

225

,"California Natural Gas Industrial Price (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:","n3035ca3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ca3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:23:58 PM" "Back to Contents","Data 1: California Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035CA3" "Date","California Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,7.75

226

,"Colorado Natural Gas Industrial Price (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:","n3035co3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035co3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:00 PM" "Back to Contents","Data 1: Colorado Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035CO3" "Date","Colorado Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,3.02 35976,2.55 36341,3.08

227

,"Connecticut Natural Gas Industrial Price (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:","n3035ct3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ct3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:02 PM" "Back to Contents","Data 1: Connecticut Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035CT3" "Date","Connecticut Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,10.11

228

,"Alaska Natural Gas Industrial Price (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:","n3035ak3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ak3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:23:51 PM" "Back to Contents","Data 1: Alaska Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035AK3" "Date","Alaska Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,1.54 35976,1.34 36341,1.25

229

,"Georgia Natural Gas Industrial Price (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:","n3035ga3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ga3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:08 PM" "Back to Contents","Data 1: Georgia Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035GA3" "Date","Georgia Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,10.05 36937,9.35

230

,"Florida Natural Gas Industrial Price (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:","n3035fl3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035fl3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:06 PM" "Back to Contents","Data 1: Florida Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035FL3" "Date","Florida Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,4.41 35976,3.98 36341,4.12

231

,"California Natural Gas Industrial Price (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:","n3035ca3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ca3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:23:58 PM" "Back to Contents","Data 1: California Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035CA3" "Date","California Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,4.18 35976,3.75 36341,3.33

232

,"Alaska Natural Gas Industrial Price (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:","n3035ak3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ak3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:23:51 PM" "Back to Contents","Data 1: Alaska Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035AK3" "Date","Alaska Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,1.57 36937,1.55

233

,"Florida Natural Gas Industrial Price (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:","n3035fl3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035fl3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:06 PM" "Back to Contents","Data 1: Florida Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035FL3" "Date","Florida Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,8.27 36937,8.02

234

,"Delaware Natural Gas Industrial Price (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:","n3035de3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035de3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:04 PM" "Back to Contents","Data 1: Delaware Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035DE3" "Date","Delaware Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,7.37 36937,4.61

235

,"South Carolina Natural Gas Industrial Price (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:","n3035sc3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035sc3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:25:02 PM" "Back to Contents","Data 1: South Carolina Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035SC3" "Date","South Carolina Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,3.72 35976,3.29

236

,"Idaho Natural Gas Industrial Price (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:","n3035id3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035id3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:13 PM" "Back to Contents","Data 1: Idaho Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035ID3" "Date","Idaho Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,2.76 35976,3.09 36341,3.29 36707,4.02

237

,"Georgia Natural Gas Industrial Price (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:","n3035ga3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ga3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:07 PM" "Back to Contents","Data 1: Georgia Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035GA3" "Date","Georgia Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,4.55 35976,3.92 36341,3.41

238

,"Hawaii Natural Gas Industrial Price (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:","n3035hi3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035hi3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:09 PM" "Back to Contents","Data 1: Hawaii Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035HI3" "Date","Hawaii Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,11.65 36937,11.84

239

,"South Carolina Natural Gas Industrial Price (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:","n3035sc3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035sc3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:25:02 PM" "Back to Contents","Data 1: South Carolina Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035SC3" "Date","South Carolina Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"

240

,"South Dakota Natural Gas Industrial Price (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:","n3035sd3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035sd3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:25:04 PM" "Back to Contents","Data 1: South Dakota Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035SD3" "Date","South Dakota Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,4.02 35976,3.28

Note: This page contains sample records for the topic "industrial price electric" 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

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

242

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

243

Austin Utilities (Gas and Electric) - Commercial and Industrial Energy  

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

Austin Utilities (Gas and Electric) - Commercial and Industrial Austin Utilities (Gas and Electric) - Commercial and Industrial Energy Efficiency Rebate Program Austin Utilities (Gas and Electric) - Commercial and Industrial Energy Efficiency Rebate Program < Back Eligibility Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Appliances & Electronics Other Heat Pumps Commercial Lighting Lighting Manufacturing Commercial Weatherization Water Heating Maximum Rebate Electric Measures: $100,000 per customer location, per technology, per year Custom Gas Measures: $75,000 per commercial location per year, $5,000 per industrial location per year Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount Lighting Equipment: See Program Website Air Source Heat Pumps: $20-$25/ton, plus bonus rebate of $4/ton for each

244

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

245

Industrial Biomass Energy Consumption and Electricity Net Generation by  

Open Energy Info (EERE)

47 47 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142281847 Varnish cache server Industrial Biomass Energy Consumption and Electricity Net Generation by Industry and Energy Source, 2008 Dataset Summary Description Biomass energy consumption and electricity net generation in the industrial sector by industry and energy source in 2008. This data is published and compiled by the U.S. Energy Information Administration (EIA). Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated August 01st, 2010 (4 years ago) Keywords 2008 biomass consumption industrial sector Data application/vnd.ms-excel icon industrial_biomass_energy_consumption_and_electricity_2008.xls (xls, 27.6 KiB)

246

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

247

Oil and stock market activity when prices go up and down: the case of the oil and gas industry  

Science Journals Connector (OSTI)

We examine the asymmetric effects of daily oil price changes on equity returns, market betas, oil betas, return variances, and trading volumes for the US oil and gas industry. The responses of stock returns assoc...

Sunil K. Mohanty; Aigbe Akhigbe…

2013-08-01T23:59:59.000Z

248

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

249

Artificial Neural Networks In Electric Power Industry Technical Report of the ISIS Group  

E-Print Network [OSTI]

Artificial Neural Networks In Electric Power Industry Technical Report of the ISIS Group Systems R. E. Bourguet, P. J. Antsaklis, "Artificial Neural Networks in Electric Power Industry. Bourguet, P. J. Antsaklis, "Artificial Neural Networks in Electric Power Industry," Technical Report

Antsaklis, Panos

250

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.

251

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

252

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

SciTech Connect (OSTI)

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

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

2012-12-01T23:59:59.000Z

253

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

254

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

255

Oncor Electric Delivery - Large Commercial and Industrial Rebate Program |  

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

Oncor Electric Delivery - Large Commercial and Industrial Rebate Oncor Electric Delivery - Large Commercial and Industrial Rebate Program Oncor Electric Delivery - Large Commercial and Industrial Rebate Program < Back Eligibility Commercial Construction Industrial Installer/Contractor Institutional Local Government Schools State Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Home Weatherization Insulation Design & Remodeling Windows, Doors, & Skylights Solar Buying & Making Electricity Water Heating Wind Maximum Rebate General: 20% of the incentive budget in a given budget year Contact Oncor for additional details Program Info State Texas Program Type Utility Rebate Program Rebate Amount DX Air Conditioning: $285.30/kW; $0.09/kWh

256

ConEd (Electric) - Commercial and Industrial Energy Efficiency Program |  

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

ConEd (Electric) - Commercial and Industrial Energy Efficiency ConEd (Electric) - Commercial and Industrial Energy Efficiency Program ConEd (Electric) - Commercial and Industrial Energy Efficiency Program < Back Eligibility Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Home Weatherization Construction Commercial Weatherization Design & Remodeling Manufacturing Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Water Heating Maximum Rebate Large Commercial Energy Study: $50,000 (electric); $67,000 (combined with gas) Program Info Expiration Date 12/31/2015 State New York Program Type Utility Rebate Program Rebate Amount Lighting: Varies widely by type Small Business Energy Surveys: Free Small Business Equipment Upgrades: up to 70% of cost Large Commercial Energy Study: 50% of the cost

257

Duke Energy (Electric) - Commercial/Industrial Energy Efficiency Rebate  

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

Duke Energy (Electric) - Commercial/Industrial Energy Efficiency Duke Energy (Electric) - Commercial/Industrial Energy Efficiency Rebate Program Duke Energy (Electric) - Commercial/Industrial Energy Efficiency Rebate Program < Back Eligibility Commercial Industrial Institutional Schools Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Other Commercial Weatherization Heat Pumps Heating Appliances & Electronics Commercial Lighting Lighting Water Heating Home Weatherization Windows, Doors, & Skylights Maximum Rebate 50% of cost in many cases Commercial and Industrial: $50,000/facility per year Program Info State Ohio Program Type Utility Rebate Program Rebate Amount Custom Incentives: 50% T8/T5 Fluorescent Fixtures: $3-$20 T5/T8 Fluorescent High Bay Fixtures: $55-$175 CFL High Bay Fixtures: $75

258

Industrial Electric Motor Systems Market Opportunities Assessment  

E-Print Network [OSTI]

(DOE) Office of Energy Efficiency and Renewable Energy (EERE) in December 1998. As of fiscal year 2000, DOE’s Motor Challenge Program was integrated into BestPractices, a broad initiative within EERE. EERE’s BestPractices introduces industrial end users to emerging technologies and cost-saving opportunities in widely used industrial systems. Best-Practices offers resources, tools, and information. Thus, industrial end users can match new and verified energy-efficient technologies and practices to their individual plant needs. Since the original printing, there have been some minor changes. The inside and outside back cover (last two pages) were deleted because they contained outdated program information. In addition, some minor corrections were made to the appendices. To obtain another CD of this document you can: • Contact EERE’s Office of Industrial Technologies ’ (OIT) Clearinghouse:

United S

2002-01-01T23:59:59.000Z

259

Technology Roadmap of Electric Vehicle Industrialization  

Science Journals Connector (OSTI)

Through the understanding of the development of the domestic and foreign electric vehicle dynamic and trend, we can know the state new energy vehicles encouraging policies and development strategies, combine with...

Qinghua Bai; Shupeng Zhao; Pengyun Xu

2012-01-01T23:59:59.000Z

260

Photo-electric Control in Industry  

Science Journals Connector (OSTI)

... made in standard sets called photo-electric relays, containing an amplifier circuit and a small contactor capable of making or breaking 15 amperes. An obvious application of this unit is ...

1937-11-27T23:59:59.000Z

Note: This page contains sample records for the topic "industrial price electric" 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

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

262

International Natural Gas Prices for Electricity Generation - EIA  

Gasoline and Diesel Fuel Update (EIA)

Industry for Selected Countries1 Industry for Selected Countries1 U.S. Dollars per 107 Kilocalories - Gross Calorific Value2 Country 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 Australia NA NA NA NA NA NA NA NA NA NA Austria NA NA NA NA NA NA NA NA NA NA Belgium C C C C C C NA 559.8 417.4 354.9 Brazil NA NA NA NA NA NA NA NA NA NA Bulgaria NA NA NA NA NA NA NA 381.2 396.6 381.7 Canada 108.8 125.3 210.1 223.7 291.1 272.0 216.1 352.3 172.6 160.1 Chile NA NA NA NA NA NA NA NA NA NA Chinese Taipei (Taiwan) 288.5 271.6 302.1 336.9 387.4 413.8 475.6 648.5 525.6 600.9 Croatia 235.5 281.4 330.6 386.2 391.4 400.8 436.7 388.7 420.0 520.4 Czech Republic 155.9 173.6 203.5 217.4 292.5 402.3 391.7 614.1 528.0 530.5

263

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

264

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

265

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

266

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

267

Dakota Electric Association - Commercial and Industrial Energy Efficiency  

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

Dakota Electric Association - Commercial and Industrial Energy Dakota Electric Association - Commercial and Industrial Energy Efficiency Rebate Program Dakota Electric Association - Commercial and Industrial Energy Efficiency Rebate Program < Back Eligibility Agricultural Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Water Heating Maximum Rebate $100,000 Building Measures: 50% of project cost up to $20,000 Central Air Conditioning: $1,500 Compressed Air Evaluation: $2,000 - $15,000 depending on HP Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount HVAC Chillers: $10 - $20/Ton, plus $2/ton, per 0.1 above base efficiency Cooling Towers: $3/nominal tower ton Air Handling Systems (VAV): $170/VAV Box

268

Minnesota Valley Electric Cooperative - Commercial and Industrial Energy  

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

Minnesota Valley Electric Cooperative - Commercial and Industrial Minnesota Valley Electric Cooperative - Commercial and Industrial Energy Efficiency Rebate Program Minnesota Valley Electric Cooperative - Commercial and Industrial Energy Efficiency Rebate Program < Back Eligibility Agricultural Commercial Fed. Government Industrial Local Government Nonprofit State Government Savings Category Other Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Construction Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate For lighting, motors, and ASDs, there is a maximum of 50% of the project cost, or $5,000 Agriculture Ventilation: 50% of cost or $100,000 Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount Lighting: Varies according to fixture type Rooftop/Split System A/C: $18/ton, plus bonus of $5/ton for each 0.1 above

269

Empire District Electric - Commercial and Industrial Efficiency Rebates |  

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

Empire District Electric - Commercial and Industrial Efficiency Empire District Electric - Commercial and Industrial Efficiency Rebates Empire District Electric - Commercial and Industrial Efficiency Rebates < Back Eligibility Commercial Industrial Institutional Nonprofit Schools Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate 20,000 per program year per customer Program Info State Missouri Program Type Utility Rebate Program Rebate Amount Lighting: 2 - 50 per fixture Lighting Power Density: 1 per watt per square foot Lighting Sensors: 20 - 50 per sensor Central AC: 73 - 92 per ton Motors: 50 - 130 per motor Energy Audit: 50% of cost Custom: Lesser of 50% of incremental cost; 2-year payback equivalent; or

270

Empire District Electric - Commercial and Industrial Energy Efficiency  

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

Empire District Electric - Commercial and Industrial Energy Empire District Electric - Commercial and Industrial Energy Efficiency Rebates Empire District Electric - Commercial and Industrial Energy Efficiency Rebates < Back Eligibility Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate 5,000; additional funds may be available for final 3 months of program year Program Info State Arkansas Program Type Utility Rebate Program Rebate Amount Custom: lesser of $.30 per kWh savings, 50% of incremental cost, or buydown to two year payback Fluorescent Lamps/Fixtures: $0.50 - $16 High Performance T8 Systems: $9 - $18 High-Bay Fluorescent Lamps/Ballasts: $40 - $125 CFL Fixtures: $8 - $25 Pendant/Wall Mount/Recessed Indirect Fixtures: $16 - $24

271

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

272

Electrical energy monitoring in an industrial plant  

E-Print Network [OSTI]

INTRODUCTION PURPOSE Energy use in commercial buildings has been widely examined in the past [Claridge et al. 1992]. The energy use in commercial buildings can be classified into four categories: 1). Heating, ventilating, and air-conditioning (HVAC), 2... energy usage will be if accurate data for weather and occupancy are used. The estimation of energy use in an industrial setting does not lend itself to this type of simulation. Unlike commercial buildings, which are heavily weather dependent...

Dorhofer, Frank Joseph

2012-06-07T23:59:59.000Z

273

The Paradox of Regulatory Development in China: The Case of the Electricity Industry  

E-Print Network [OSTI]

zhongguo dianli chanye (China‘s Electricity Industry at themulti_page.pdf. State Electricity Regulatory Commission.The Annual Report on Electricity Regulation (2006). Beijing:

Tsai, Chung-min

2010-01-01T23:59:59.000Z

274

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

275

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

276

Industrial Approaches to Reducing Energy Costs in a Restructuring Electric Industry  

E-Print Network [OSTI]

. Although many electricity providers will offer their services in a restructure U.S. electricity market, it is not clear which pow r producers industrial customers wil1 buy from. James Rouse, associate director of energy policy for Praxair, Inc., thinks...

Lowe, E. T.

277

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

278

Electric top drives gain wide industry acceptance  

SciTech Connect (OSTI)

Since its introduction, the top drive drilling system has gained acceptance as a productive and safe method for drilling oil and gas wells. Originally, the system was used mostly for offshore and higher cost land drilling, and it had to be installed as a permanent installation because of its enormous weight and size. Essentially, a top drive replaces the kelly and rotary table as the means of rotating drillpipe on oil, gas and geothermal rigs and is considered to be 15% to 40% more efficient than a kelly drive. Top drive systems allow the operator to drill and maintain directional orientation for triple stands and provide tripping efficiency because of the ability to ream and circulate with triple stands, to reduce the risk of stuck pipe or lost wells, and to improve well control and pipe handling safety. The paper describes electric top drives with DC motors, top drives with AC motors, top drives with permanent magnet motors, and top drives with permanent magnet brushless synchronous motors.

Riahi, M.L.

1998-05-01T23:59:59.000Z

279

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

280

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

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


281

Table 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

282

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

283

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

284

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

285

Industry  

SciTech Connect (OSTI)

This chapter addresses past, ongoing, and short (to 2010) and medium-term (to 2030) future actions that can be taken to mitigate GHG emissions from the manufacturing and process industries. Globally, and in most countries, CO{sub 2} accounts for more than 90% of CO{sub 2}-eq GHG emissions from the industrial sector (Price et al., 2006; US EPA, 2006b). These CO{sub 2} emissions arise from three sources: (1) the use of fossil fuels for energy, either directly by industry for heat and power generation or indirectly in the generation of purchased electricity and steam; (2) non-energy uses of fossil fuels in chemical processing and metal smelting; and (3) non-fossil fuel sources, for example cement and lime manufacture. Industrial processes also emit other GHGs, e.g.: (1) Nitrous oxide (N{sub 2}O) is emitted as a byproduct of adipic acid, nitric acid and caprolactam production; (2) HFC-23 is emitted as a byproduct of HCFC-22 production, a refrigerant, and also used in fluoroplastics manufacture; (3) Perfluorocarbons (PFCs) are emitted as byproducts of aluminium smelting and in semiconductor manufacture; (4) Sulphur hexafluoride (SF{sub 6}) is emitted in the manufacture, use and, decommissioning of gas insulated electrical switchgear, during the production of flat screen panels and semiconductors, from magnesium die casting and other industrial applications; (5) Methane (CH{sub 4}) is emitted as a byproduct of some chemical processes; and (6) CH{sub 4} and N{sub 2}O can be emitted by food industry waste streams. Many GHG emission mitigation options have been developed for the industrial sector. They fall into three categories: operating procedures, sector-wide technologies and process-specific technologies. A sampling of these options is discussed in Sections 7.2-7.4. The short- and medium-term potential for and cost of all classes of options are discussed in Section 7.5, barriers to the application of these options are addressed in Section 7.6 and the implication of industrial mitigation for sustainable development is discussed in Section 7.7. Section 7.8 discusses the sector's vulnerability to climate change and options for adaptation. A number of policies have been designed either to encourage voluntary GHG emission reductions from the industrial sector or to mandate such reductions. Section 7.9 describes these policies and the experience gained to date. Co-benefits of reducing GHG emissions from the industrial sector are discussed in Section 7.10. Development of new technology is key to the cost-effective control of industrial GHG emissions. Section 7.11 discusses research, development, deployment and diffusion in the industrial sector and Section 7.12, the long-term (post-2030) technologies for GHG emissions reduction from the industrial sector. Section 7.13 summarizes gaps in knowledge.

Bernstein, Lenny; Roy, Joyashree; Delhotal, K. Casey; Harnisch, Jochen; Matsuhashi, Ryuji; Price, Lynn; Tanaka, Kanako; Worrell, Ernst; Yamba, Francis; Fengqi, Zhou; de la Rue du Can, Stephane; Gielen, Dolf; Joosen, Suzanne; Konar, Manaswita; Matysek, Anna; Miner, Reid; Okazaki, Teruo; Sanders, Johan; Sheinbaum Parado, Claudia

2007-12-01T23:59:59.000Z

286

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

287

Impact of Electric Industry Structure on High Wind Penetration Potential  

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

273 273 July 2009 Impact of Electric Industry Structure on High Wind Penetration Potential M. Milligan and B. Kirby National Renewable Energy Laboratory R. Gramlich and M. Goggin American Wind Energy Association National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-550-46273 July 2009 Impact of Electric Industry Structure on High Wind Penetration Potential M. Milligan and B. Kirby National Renewable Energy Laboratory R. Gramlich and M. Goggin American Wind Energy Association

288

Electric Industry Restructuring in Five States: Final Report  

SciTech Connect (OSTI)

The electric industry in the United States is undergoing fundamental changes; it is transitioning from regulated monopolies to competitive markets offering customer choice. In this process, the states have been in the forefront of considering the changes in the industry structure and regulation. The Energy Information Administration (EIA) spearheaded a project on electric restructuring in the United States. This is the final report prepared under the project. The purpose of the report is to describe and compare the overall restructuring processes that took place in five states through June 30, 1996. The five states are California, Massachusetts, Michigan, New York, and Wisconsin. These are the first major states to consider restructuring or retail wheeling.

Fang, J. M.

1996-10-31T23:59:59.000Z

289

Electric and Gas Industries Association | Open Energy Information  

Open Energy Info (EERE)

and Gas Industries Association and Gas Industries Association Jump to: navigation, search Name Electric and Gas Industries Association Place Sacramento, CA Zip 95821 Website http://www.egia.org/ Coordinates 38.6228166°, -121.3827505° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.6228166,"lon":-121.3827505,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

290

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

SciTech Connect (OSTI)

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

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

1995-02-01T23:59:59.000Z

291

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

292

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

293

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

294

"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"

295

State Residential Commercial Industrial Transportation Total  

Gasoline and Diesel Fuel Update (EIA)

schedules 4A-D, EIA-861S and EIA-861U) State Residential Commercial Industrial Transportation Total 2012 Total Electric Industry- Average Retail Price (centskWh) (Data from...

296

Lagrangean Decomposition Algorithm for Supply Chain Redesign in Electric Motors Industry  

E-Print Network [OSTI]

2013/8/1 1 Lagrangean Decomposition Algorithm for Supply Chain Redesign in Electric Motors Industry of Automation Lagrangean Decomposition Algorithm for Supply Chain Redesign of Electric Motors Industry Redesign of Electric Motors Industry Institute of Process Control and Engineering, Department

Grossmann, Ignacio E.

297

Industrial-Load-Shaping: The Practice of and Prospects for Utility/Industry Cooperation to Manage Peak Electricity Demand  

E-Print Network [OSTI]

INDUSTRIAL-LOAD-SHAPI1IG: TIlE PRACTICE OF AND PROSPECTS FOR UTILITY/INDUSTRY COOPERATION TO MAUGE PEAK ELECTRICITY DEMAND Donald J. BuIes and David E. Rubin Consultants, Pacific Gas and Electric Company San Francisco, California Michael F.... Maniates Energy and Resources Group, University of California Berkeley, California ABSTRACT Load-management programs designed to reduce demand for electricity during peak periods are becoming increasingly important to electric utilities. For a gf...

Bules, D. J.; Rubin, D. E.; Maniates, M. F.

298

State energy price and expenditure report 1993  

SciTech Connect (OSTI)

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

NONE

1995-12-01T23:59:59.000Z

299

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

E-Print Network [OSTI]

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

Oren, Shmuel S.

300

Electricity distribution industry restructuring, electrification, and competition in South Africa  

SciTech Connect (OSTI)

This paper reviews the status of the South African electricity supply industry (ESI) and proposals for reorienting and restructuring it. South Africa has been intensely examining its ESI for more than 4 years in an effort to determine whether and how it should be restructured to best support the country`s new economic development and social upliftment goals. The debate has been spirited and inclusive of most ESI stakeholders. The demands on and expectations for the ESI are many and varied. The debate has reflected this diversity of interests and views. In essence, however, there is a consensus on what is expected of the industry, namely, to extend provision of adequate, reliable, and affordable electricity service to all citizens and segments of the economy. This means a large-scale electrification program to reach as many of the nearly 50% of households currently without electricity service as soon as possible, tariff reform to promote equity and efficiency, and the upgrading of service quality now being provided by some of the newly consolidated municipal authorities. The issues involved are how best to achieve these results within the context of the national Reconstruction and Development Program, while accounting for time and resource constraints and balancing the interests of the various parties.

Galen, P S

1997-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial price electric" 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

Deregulation and R&D in Network Industries: The Case of the Electricity Industry  

E-Print Network [OSTI]

). Source: In Hattori (2005) based on FEPCO/CEPC (2004). R&D expenditure is just one of the costs incurred by a liberalised industry. Liberalisation leads to cost reductions in operating expenditure and capital expenditure as a result of pressure... technology policies and spending toward more basic research, engaging more firms in R&D, encouraging collaborative research, and exploring public private partnerships. JEL Classification: L94, O38 Keywords: innovation, R&D expenditure, electricity...

Jamasb, Tooraj; Pollitt, Michael G.

2006-03-14T23:59:59.000Z

302

Energy Conservation and Management for Electric Utility Industrial Customers  

E-Print Network [OSTI]

Figure 5 Steam/Organic Fluid Rankine-Cycle Power System Absorption Cooling Systems The absorpt i on cool i ng system mode 1ed for the EC&M computer mode 1 is a type of heat pump whd ch is driven directly by a thermal input without th~ need for a...&M Applications Identified from Plant Data EC&M Technology ? Heat Exchangers ? Waste heat boiler ? Rankine cycle ? Heat pump --Closed cycle --Open cycle ? Thermal energy storage ? GT/electric generator/chiller Industrial Application Process...

McChesney, H. R.; Obee, T. N.; Mangum, G. F.

303

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

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

304

Braess' Paradox in a simple electric power system  

E-Print Network [OSTI]

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

Blumsack, Seth

305

Acreage response before and after the deregulation of the South African maize industry : the role of SAFEX in price discovery and price risk managment.  

E-Print Network [OSTI]

??Includes abstract. The withdwal of the Maize Board in 1996 meant that farmers could no longer rely on their pre-planting price or "voorskat" for price… (more)

Behar, Alexander.

2010-01-01T23:59:59.000Z

306

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

307

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

308

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

309

Pricing and licensing of software products and services : a study on industry trends  

E-Print Network [OSTI]

The software product business reached the $150 billion mark at the end of 2005. The pricing and licensing of new products, maintenance services, services and service maintenance have become an important strategy to deliver ...

Nayak, Shivashis

2006-01-01T23:59:59.000Z

310

Abstract--The profound change in the electric industry worldwide in the last twenty years assigns an increasing  

E-Print Network [OSTI]

Value. I. INTRODUCTION He reformed electric industry scheme sets the transmission sector at the center

Catholic University of Chile (Universidad Católica de Chile)

311

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"

312

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"

313

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

314

Optimization of production scheduling with time-dependent and machine-dependent electricity cost for industrial energy efficiency  

Science Journals Connector (OSTI)

In many industrialized countries, manufacturing industries pay stratified electricity charges depending on the time of day ... may demand that industries pay real-time hourly electricity costs so as to use energy...

Joon-Yung Moon; Kitae Shin; Jinwoo Park

2013-09-01T23:59:59.000Z

315

Comparison of Gas Catalytic and Electric Infrared Performance for Industrial Applications  

E-Print Network [OSTI]

A study was conducted to evaluate the performance of gas catalytic and electric infrared for industrial applications. The project focused on fabric drying, paper drying, metal heating, and plastic forming as target industrial applications. Tests...

Eshraghi, R. R.; Welch, D. E.

316

Renewable Energy Price-Stability Benefits in Utility Green Power Programs  

SciTech Connect (OSTI)

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

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

2008-08-01T23:59:59.000Z

317

The Paradox of Regulatory Development in China: The Case of the Electricity Industry  

E-Print Network [OSTI]

of Coal Mine Safety Telecom Economic Functional StateEconomic Functional Ministry of Transport Work Safety Social Coaleconomic lifeline?) industries: military engineering, electricity, oil and petrochemical, coal,

Tsai, Chung-min

2010-01-01T23:59:59.000Z

318

Industrial Potential for Substitution of Electricity for Oil and Natural Gas  

E-Print Network [OSTI]

The prospect of natural gas decontrol as well as uncertainties of gas and other fuel supplies have aroused interest in electric processes among industrial officials. Where there is ample electric power supply at reasonable cost, an opportunity...

Reynolds, S. D.; Gardner, J. R.

1983-01-01T23:59:59.000Z

319

Process Parameters and Energy Use of Gas and Electric Ovens in Industrial Applications  

E-Print Network [OSTI]

for industrial applications where electric ovens have predominant use. Tests were performed to obtain the process efficiency and examine cost savings potential in converting electric ovens to natural gas. Preliminary results show that, for the plat studied, cost...

Kosanovic, D.; Ambs, L.

320

A global analysis and market strategy in the electric vehicle battery industry  

E-Print Network [OSTI]

As use of electric vehicles has been expected to grow, the batteries for the electric vehicles have become critical because the batteries are a key part of the paradigm shift in the automotive industry. However, the demand ...

Kim, Young Hee, S.M. Massachusetts Institute of Technology

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial price electric" 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

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.

322

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

323

Industry  

E-Print Network [OSTI]

EJ of primary energy, 40% of the global total of 227 EJ. Bytotal energy use by industry and on the fraction of electricity use consumed by motor driven systems was taken as representative of global

Bernstein, Lenny

2008-01-01T23:59:59.000Z

324

Maximising Revenue in the Airline Industry Under One-Way Pricing  

E-Print Network [OSTI]

the model's performance and further work to be carried out in this area. Context. The advent of .... scribed in the previous section. The cancellations ... No record is kept of cancellations and these could only be detected if the net number of bookings .... not performing as expected and further action is required. If the prices are ...

2003-10-08T23:59:59.000Z

325

,"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)"

326

,"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)"

327

,"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)"

328

2012 SG Peer Review - Recovery Act: NSTAR Automated Mater Reading Based Dynamic Pricing - Douglas Horton, NSTAR Electric & Gas  

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

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

329

,"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)"

330

Lynn Price  

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

331

Deregulation and environmental differentiation in the electric utility industry  

E-Print Network [OSTI]

to purchase electricity from private generators, policy-behavior. Green electricity does not offer private benefits—electricity, lumber represents a case where it is difficult to bundle private

Delmas, M; Russo, M V; Montes-Sancho, M J

2007-01-01T23:59:59.000Z

332

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

333

" 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"

334

Managing Energy Price Risk with Derivatives  

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

335

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

336

Biomedical | Chemical & Biomolecular | Civil & Environmental | Electrical & Computer | Industrial | Mechanical | Petroleum Careers in Industrial Engineering  

E-Print Network [OSTI]

| Mechanical | Petroleum Careers in Industrial Engineering Manufacturing, service and retail industries hire a significant number of industrial engineers. Specific industries include automobile manufacturers, electronics to the US Bureau of Labor Statistics, the 2012 average annual wage for industrial engineers is $82

Glowinski, Roland

337

State Energy Price System: 1982 update  

SciTech Connect (OSTI)

The State Energy Price System (STEPS) contains estimates of energy prices for ten major fuels (electricity, natural gas, metallurgical coal, steam coal, distillate, motor gasoline, diesel, kerosene/jet fuel, residual fuel, and liquefied petroleum gas), by major end-use sectors (residential, commercial, industrial, transportation, and electric utility), and by state through 1982. Both physical unit prices and prices per million Btu are included in STEPS. Major changes in STEPS data base for 1981 and 1982 are described. The most significant changes in procedures for the updates occur in the residential sector distillate series and the residential sector kerosene series. All physical unit and Btu prices are shown with three significant digits instead of with four significant digits as shown in the original documentation. Details of these and other changes are contained in this report, along with the updated data files. 31 references, 65 tables.

Imhoff, K.L.; Fang, J.M.

1984-10-01T23:59:59.000Z

338

"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"

339

THE COMPETITIVENESS OF COMMERCIAL ELECTRIC VEHICLES IN THE LTL DELIVERY INDUSTRY  

E-Print Network [OSTI]

of electric delivery trucks. To this end, equations linking vehicle performance to power consumption, routeTHE COMPETITIVENESS OF COMMERCIAL ELECTRIC VEHICLES IN THE LTL DELIVERY INDUSTRY: #12; #12, energy use, and costs of electric vehicles and comparable diesel internal-combustion engine vehicles

Bertini, Robert L.

340

An Empirical Analysis of the Potential for Market Power in California's Electricity Industry  

E-Print Network [OSTI]

PWP-044r An Empirical Analysis of the Potential for Market Power in California's Electricity's Electricity Industry Severin Borenstein and James Bushnell University of California Energy Institute 2539 the California electricity market after deregulation as a static Cournot market with a competitive fringe. Our

California at Berkeley. University of

Note: This page contains sample records for the topic "industrial price electric" 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

The ''optimal'' structure of the deregulated electric utility industry  

SciTech Connect (OSTI)

The optimal structure is one that does not adopt policies that interfere with competitive markets nor create price incentives or subsidies to serve special interests in an attempt to artificially stimulate retail competition. It needs to recognize that the ''natural monopoly'' and public interest criteria still require the regulation of delivery service. (author)

Switzer, Sheldon; Trout, Jeffrey P.

2007-07-15T23:59:59.000Z

342

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.

343

Current Generated Harmonics and Their Effect Upon Electrical Industrial Systems  

E-Print Network [OSTI]

This paper provides a general overview of harmonics and addresses the causes of current generated harmonics in electrical systems. In addition, problems caused by current generated harmonics and their affects upon different types of electrical...

Alexander, H. R.; Rogge, D. S.

344

" Electricity Generation by Employment Size Categories, Industry Group, and"  

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

Total Consumption of Offsite-Produced Energy for Heat, Power, and" Total Consumption of Offsite-Produced Energy for Heat, Power, and" " Electricity Generation by Employment Size Categories, Industry Group, and" " Selected Industries, 1991" " (Estimates in Trillion Btu)" ,,,,,"Employment Size(b)" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," ",,,,,"1,000","Row" "Code(a)","Industry Groups and Industry","Total","Under 50","50-99","100-249","250-499","500-999","and Over","Factors"," "," "," "," "," "," "

345

The Paradox of Regulatory Development in China: The Case of the Electricity Industry  

E-Print Network [OSTI]

against soaring coal prices, the central government designedof power prices when coal prices increase more than 5 perthe mechanism even though coal prices increased more than 10

Tsai, Chung-min

2010-01-01T23:59:59.000Z

346

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

347

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

348

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

349

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

350

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

351

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

352

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

353

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

354

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

355

"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"

356

Information Disclosure Policies: Evidence from the Electricity Industry  

E-Print Network [OSTI]

and its predecessor EIA-759), the monthly utility electricEIA data (EIA-906 and EIA-759) is imputed for smaller

Delmas, Magali A; SHIMSHACK, JAY P; Montes, Maria J.

2007-01-01T23:59:59.000Z

357

Critical Issues Facing Federal Customers and the Electric Industry...  

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

in San Diego, California. fupwgsandiegokiesner.pdf More Documents & Publications Rising Electricity Costs: A Challenge For Consumers, Regulators, And Utilities The Power of "AND"...

358

Deregulation and environmental differentiation in the electric utility industry  

E-Print Network [OSTI]

Electricity from Renewable Resources: A Review of Utilityprovision of power from renewable resources, the end resultinvestments in renewable energy generating resources. Hence:

Delmas, M; Russo, M V; Montes-Sancho, M J

2007-01-01T23:59:59.000Z

359

Table 5. Electric Power Industry Generation by Primary Energy...  

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

1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Electric Utilities",75183893,85006849,92198096,93939609,98396809,100536445,98159139,102750838,14230...

360

Table 5. Electric Power Industry Generation by Primary Energy...  

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

1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Electric Utilities",96763006,99451077,95099161,90418339,94637160,97259636,94637956,95187030,9205415...

Note: This page contains sample records for the topic "industrial price electric" 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 5. Electric Power Industry Generation by Primary Energy...  

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

1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Electric Utilities",106615302,103334454,88057219,90733028,93162079,90531201,94067080,83152928,83500...

362

Table 5. Electric Power Industry Generation by Primary Energy...  

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

1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Electric Utilities",56188401,53328664,58902054,59225368,59780402,64316732,61176351,65456080,6510365...

363

Form EIA-861S ANNUAL ELECTRIC POWER INDUSTRY REPORT (SHORT FORM)  

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

INDUSTRY REPORT (SHORT FORM) INSTRUCTIONS OMB No. 1905-0129 Approval Expires: 12/31/2016 Burden: 2.01 Hours Page 1 Draft for Discussion only PURPOSE Form EIA-861S collects information on the status of selected electric power industry participants involved in the sale, and distribution of electric energy in the United States. The data collected on this form are used to monitor the current status and trends of the electric power industry and to evaluate the future of the industry. REQUIRED RESPONDENTS The Form EIA-861S is to be completed by all electric utilities with annual retail sales in the prior year of 100,000 megawatt-hours or less, with the following exceptions: 1. A respondent has retail sales of unbundled service; 2. A full set of data is required from the respondent to ensure that statistical estimates

364

A new-generation energy-saving industrial controlled electric drive  

Science Journals Connector (OSTI)

Results of the innovative development of an efficiently controlled, new-generation, energy-saving, industrial AC electric drive are presented. ... filter in the intermediate link. The improved energy and electrom...

R. T. Shreiner; V. K. Krivovyaz; A. I. Kalygin…

2007-11-01T23:59:59.000Z

365

ASSESSMENT OF ELECTRICITY DEMAND IN IRAN'S INDUSTRIAL SECTOR USING DIFFERENT INTELLIGENT OPTIMIZATION TECHNIQUES  

Science Journals Connector (OSTI)

This study presents application of particle swarm optimization (PSO) and genetic algorithm (GA) methods to estimate electricity demand in Iran's industrial sectors, based on economic indicators. The economic indicators used in this study are number of ...

M. A. Behrang; E. Assareh; M. R. Assari; A. Ghanbarzadeh

2011-04-01T23:59:59.000Z

366

The risk of reform : privatisation and liberalisation in the Brazilian electric power industry  

E-Print Network [OSTI]

In 1996, when Brazil was well-underway to privatising and liberalising its electric power industry, few would have predicted that within five years the reforms would be a shambles. Like its neighbors Argentina and Chile, ...

Tankha, Sunil, Ph. D. Massachusetts Institute of Technology

2006-01-01T23:59:59.000Z

367

'Tilted' Industrial Electric Rates: A New Negative Variable for Energy Engineers  

E-Print Network [OSTI]

The cost of purchased electricity for industry is rising even faster than for other sectors. Conventional means of reducing power costs include internal techniques like load management, demand controls and energy conservation. External mechanisms...

Greenwood, R. W.

1981-01-01T23:59:59.000Z

368

Could energy-intensive industries be powered by carbon-free electricity?  

Science Journals Connector (OSTI)

...possibility of converting industrial energy demand to electricity, and...decarbonization of the whole energy system using wind, biomass, solar power in deserts and...one-third of the world's energy consumption [1]; most of...

2013-01-01T23:59:59.000Z

369

Electric Utilities' Role in Industrial Competitiveness: Going Beyond the Energy Audit  

E-Print Network [OSTI]

This paper describes EPRI's Partnership for Industrial Competitiveness. The Partnership, comprised of over 15 EPRI member utllities, was established to help electric utilities identify, develop; and implement competitiveness improvement...

Jeffress, R. D.

370

Critical Issues Facing Federal Customers and the Electric Industry: A Call to Partnering  

Broader source: Energy.gov [DOE]

Presentation covers critical issues facing federal customers and the electric industry and is given at the FUPWG Fall Meeting, held on November 28-29, 2007 in San Diego, California.

371

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

SciTech Connect (OSTI)

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

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

2009-01-01T23:59:59.000Z

372

Impact of Electricity Deregulation on Industrial Assessment Strategies  

E-Print Network [OSTI]

efficiency project. Onsite generation of power and the changing rationales for its adoption has also experienced big changes. Energy security is becoming a strong motivation for industrial plants, options are increased, and third party funding is also...

Kasten, D. J.; Muller, M. R.; Pavlovic, F.

373

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

374

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

375

" 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"

376

" 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"

377

PROCESS PARAMETERS AND ENERGY USE OF GAS AND ELECTRIC OVENS IN INDUSTRIAL APPLICATIONS  

E-Print Network [OSTI]

PROCESS PARAMETERS AND ENERGY USE OF GAS AND ELECTRIC OVENS IN INDUSTRIAL APPLICATIONS Dr for Energy Efficiency and Renewable Energy Department of Mechanical and Industrial Engineering University of Massachusetts, Amherst, Massachusetts ABSTRACT The study was conducted to evaluate the energy use of natural gas

Massachusetts at Amherst, University of

378

Diagnosing and mitigating market power in Chile's electricity industry  

E-Print Network [OSTI]

This paper examines the incentives to exercise market power that generators would face and the different strategies that they would follow if all electricity supplies in Chile were traded in an hourly-unregulated spot ...

Arellano, María Soledad

2003-01-01T23:59:59.000Z

379

Table 4. Electric Power Industry Capability by Primary Energy...  

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

1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Electric Utilities",28463,27389,26533,25140,25005,24569,24991,24033,23587,22629,38903,38940,65384,6...

380

Further Findings Concerning Electrical Energy Monitoring in an Industrial Plant  

E-Print Network [OSTI]

The Energy Systems Laboratory (ESL) at Texas A&M University has monitored the real-time electrical energy consumption, demand, and power factor of a large metal fabrication plant in Houston, Texas for twelve months. Monthly reports that present...

Lewis, D. R.; Dorhofer, F. J.; Heffington, W. M.

Note: This page contains sample records for the topic "industrial price electric" 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

A Study on the Failure of Industrial Electric Heater  

E-Print Network [OSTI]

The break down mechanism of a cylindrical electric heater is investigated by studying the uneven heating behavior of the heater by measuring the surface temperature variation of the heater when it is subjected to a boundary condition of constant...

Chyu, M. C.

382

Average Price (Cents/kilowatthour) by State by Provider, 1990-2012  

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

Average Price (Cents/kilowatthour) by State by Provider, 1990-2012" Average Price (Cents/kilowatthour) by State by Provider, 1990-2012" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2012,"AK","Total Electric Industry",17.88,14.93,16.82,0,"NA",16.33 2012,"AL","Total Electric Industry",11.4,10.63,6.22,0,"NA",9.18 2012,"AR","Total Electric Industry",9.3,7.71,5.77,11.23,"NA",7.62 2012,"AZ","Total Electric Industry",11.29,9.53,6.53,0,"NA",9.81 2012,"CA","Total Electric Industry",15.34,13.41,10.49,7.17,"NA",13.53

383

United States Industrial Electric Motor Systems Market Opportunities Assessment  

Broader source: Energy.gov [DOE]

The objectives of the Market Assessment were to: Develop a detailed profile of the stock of motor-driven equipment in U.S. industrial facilities; Characterize and estimate the magnitude of opportunities to improve the energy efficiency of industrial motor systems; Develop a profile of motor system purchase and maintenance practices; Develop and implement a procedure to update the detailed motor profile on a regular basis using readily available market information; and, Develop methods to estimate the energy savings and market effects attributable to the Motor Challenge Program.

384

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

385

Annual Energy Outlook 2007 - Low Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

4-2030) 4-2030) Annual Energy Outlook 2007 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel Low Price Case Tables (2004-2030) Table Title Formats Summary Low Price Case Tables Low Price Case Tables Table 1. Total Energy Supply and Disposition Summary Table 2. Energy Consumption by Sector and Source Table 3. Energy Prices by Sector and Source Table 4. Residential Sector Key Indicators and Consumption Table 5. Commercial Sector Indicators and Consumption Table 6. Industrial Sector Key Indicators and Consumption Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Table 8. Electricity Supply, Disposition, Prices, and Emissions Table 9. Electricity Generating Capacity Table 10. Electricity Trade Table 11. Petroleum Supply and Disposition Balance

386

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

387

RG&E (Electric) - Commercial and Industrial Efficiency Program | Department  

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

RG&E (Electric) - Commercial and Industrial Efficiency Program RG&E (Electric) - Commercial and Industrial Efficiency Program RG&E (Electric) - Commercial and Industrial Efficiency Program < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit State Government Tribal Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate No maximum per customer rebate; however, NYSEG/RG&E reserve the right to cap the rebate to any one customer Program Info State New York Program Type Utility Rebate Program Rebate Amount HVAC: Prescriptive incentives vary A/C or Heat Pump A/C or Heat Pump > 63 tons: $25/ton + $5/ton for each 0.1 EER above 9.7 Water Cooled Chillers: $6/ton or $15/ton + $2-$8/ton for each 0.01 kW/ton

388

Estimating Industrial Electricity Conservation Potential in the Pacific Northwest  

E-Print Network [OSTI]

each day) Annual Electric Power ConsumptionJ Million kWh Refrigeration Power J kW 3J 42l Other MachinerYJ kW 1J928 CookingJ kW 373 311 Space HeatingJ kW Total kW when Operating Fuel ConsumptionJ 10 6 Btu/Hr (When Operating) ,. 3. 3. Enqineering Analysis For each conservation measure applied to each typical plant, an engineering analysis was performed to calculate the potential electricity saving, capi tal costs for implementing the measure, annual oper ating...

Limaye, D. R.; Hinkle, B. K.; Lang, K.

1982-01-01T23:59:59.000Z

389

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

390

Electric Utility Industrial DSM and M&V Program  

E-Print Network [OSTI]

BC Hydro is an electric utility with a service area covering over 95% of the province of British Columbia in Canada. Power Smart is BC Hydro’s demand-side-management (DSM) division. Power Smart develops, operates and manages various DSM programs...

Lau, K. P. K.

2008-01-01T23:59:59.000Z

391

Who is Exposed to Gas Prices? How Gasoline Prices Affect Automobile Manufacturers and Dealerships  

E-Print Network [OSTI]

Who is Exposed to Gas Prices? How Gasoline Prices Affect Automobile Manufacturers and Dealerships Prices Affect Automobile Manufacturers and Dealerships Abstract Many consumers are keenly aware, by contrast, we investigate how gasoline prices affect the automobile industry: manufacturers and dealerships

Rothman, Daniel

392

" Electricity Generation by Employment Size Categories, Industry Group,"  

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

Total Consumption of Offsite-Produced Energy for Heat, Power, and" Total Consumption of Offsite-Produced Energy for Heat, Power, and" " Electricity Generation by Employment Size Categories, Industry Group," " and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," "," Employment Size(b)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",1000,"Row" "Code(a)","Industry Group and Industry","Total","Under 50","50-99","100-249","250-499","500-999","and Over","Factors" ,"RSE Column Factors:",0.6,1.4,1.5,1,0.9,1,1

393

Voluntary GHG reduction in the US electric industry  

SciTech Connect (OSTI)

The report is a study of efforts by members of the industry to voluntarily reduce their greenhouse gas emission. Dozens of US utilities are leveraging voluntary greenhouse gas (GHG) emissions reduction programs to help develop cost-effective plans for responding to future potential regulation. Many of these utilities are taking aggressive steps to reduce their GHG emissions and positioning themselves as leaders. They are participating in voluntary programs for reasons ranging from pressure by environmental groups and investors to a desire for a stronger voice in shaping climate change policy. The report takes a comprehensive look at what is driving these voluntary efforts, what government and industry help is available to support them, and what specific activities are being undertaken to reduce GHG emissions. It explains the features of the most prominent voluntary utility programs to help companies determine which might best suit their needs. 1 app.

NONE

2005-11-15T23:59:59.000Z

394

Emissions trading: Impact on electricity prices and energy-intensive industries  

Science Journals Connector (OSTI)

Under the EU-wide Emission Trading Scheme (ETS), CO2 allowances have thus far been allocated largely free of charge. This paper presents a didactic synthesis on the impact of the ETS and argues that such a cost-f...

Manuel Frondel; Christoph M. Schmidt; Colin Vance

2012-03-01T23:59:59.000Z

395

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

396

"2012 Total Electric Industry- Customers"  

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

Customers" Customers" "(Data from forms EIA-861- schedules 4A, 4B, 4D, EIA-861S and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",6203726,842773,34164,5,7080668 "Connecticut",1454651,150435,4647,2,1609735 "Maine",703770,89048,2780,0,795598 "Massachusetts",2699141,389272,21145,2,3109560 "New Hampshire",601697,104978,3444,0,710119 "Rhode Island",435448,57824,1927,1,495200 "Vermont",309019,51216,221,0,360456 "Middle Atlantic",15727423,2215961,45836,26,17989246 "New Jersey",3455302,489943,12729,6,3957980 "New York",7010740,1038268,8144,6,8057158

397

Hydrothermal industrialization electric-power systems development. Final report  

SciTech Connect (OSTI)

The nature of hydrothermal resources, their associated temperatures, geographic locations, and developable capacity are described. The parties involved in development, required activities and phases of development, regulatory and permitting requirements, environmental considerations, and time required to complete development activities ae examined in detail. These activities are put in proper perspective by detailing development costs. A profile of the geothermal industry is presented by detailing the participants and their operating characteristics. The current development status of geothermal energy in the US is detailed. The work on market penetration is summarized briefly. Detailed development information is presented for 56 high temperature sites. (MHR)

Not Available

1982-03-01T23:59:59.000Z

398

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

399

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

400

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

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


401

Electricity 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

402

Large power users and capacity shortages in developing countries: the role of innovative pricing  

Science Journals Connector (OSTI)

This paper addresses innovative electricity pricing as a strategy for managing electric load, offering pricing as an alternative to building generating capacity to meet electric load commitments in the developing world. Drawing upon the Western experience with pricing as a demand-side management strategy, three questions are addressed: (i) Do innovative pricing strategies alter the amount and pattern of electricity consumption for high-voltage users? (ii) What are future directions in electricity pricing for industrial users? and (iii) Are these strategies relevant for power systems in the developing world? The most widely adopted innovative pricing strategies by Western utilities are variants of time-of-use (TOU) pricing, which have generally been effective in reducing load during peak periods. More recently, technological advances have allowed utilities to experiment with aligning electricity prices more closely with actual power delivery costs. While temporal aspects of these innovative pricing strategies have general applicability as a load management strategy, the power systems in many developing countries have more urgent pricing priorities than adopting the most recent strategies of Western utilities.

Lawrence J. Hill

1991-01-01T23:59:59.000Z

403

The impact of large-scale solar photovoltaic adoption on prices and reliability in the New England power pool  

E-Print Network [OSTI]

The potential role of renewable energy in producing electricity in industrialized countries has been gaining attention as issues like climate change and high fossil fuel prices more frequently occupy the minds of the public ...

Martin, Katherine C

2006-01-01T23:59:59.000Z

404

"2012 Total Electric Industry- Revenue (Thousands Dollars)"  

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

Revenue (Thousands Dollars)" Revenue (Thousands Dollars)" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",7418025.1,6137400,3292222.3,37797.4,16885444.6 "Connecticut",2212594.3,1901294.3,451909.7,18679.5,4584477.8 "Maine",656822,467228,241624.4,0,1365674.3 "Massachusetts",3029291.6,2453106,2127180,17162,7626739.5 "New Hampshire",713388.2,598371.1,231041,0,1542800.3 "Rhode Island",449603.6,431951.9,98597.2,1955.9,982108.6 "Vermont",356325.4,285448.7,141870,0,783644.1 "Middle Atlantic",20195109.9,20394744.7,5206283.9,488944,46285082.4

405

"2012 Total Electric Industry- Sales (Thousand Megawatthours)"  

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

Sales (Thousand Megawatthours)" Sales (Thousand Megawatthours)" "(Data from forms EIA-861- schedules 4A, 4B, 4D, EIA-861S and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",47207.696,44864.227,27817.984,566.173,120456.08 "Connecticut",12757.633,12976.05,3565.944,192.711,29492.338 "Maine",4480.736,4053.188,3027.135,0,11561.059 "Massachusetts",20313.469,17722.811,16927.205,349.839,55313.324 "New Hampshire",4439.208,4478.42,1952.633,0,10870.261 "Rhode Island",3121.367,3639.866,923.478,23.623,7708.334 "Vermont",2095.283,1993.892,1421.589,0,5510.764 "Middle Atlantic",132230.522,157278.208,69506.519,3910.06,362925.309

406

Table 29. Average Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code  

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

Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 29. Average Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date NAICS Code April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change 311 Food Manufacturing 51.17 49.59 50.96 50.35 50.94 -1.2 312 Beverage and Tobacco Product Mfg. 111.56 115.95 113.47 113.49 117.55 -3.5 313 Textile Mills 115.95 118.96 127.41 117.40 128.07 -8.3 315 Apparel Manufacturing

407

" 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"

408

" 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"

409

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

SciTech Connect (OSTI)

This study utilizes existing data sources and previous analyses of state-level energy prices to develop consistent state-level energy prices series by fuel type and by end-use sector. The fuels are electricity, natural gas, coal, distillate fuel oil, motor gasoline, diesel, kerosene, jet fuel, residual fuel, and liquefied petroleum gas. The end-use sectors are residential, commercial, industrial, transportation, and electric utility. Based upon an evaluation of existing data sources, recommendations were formulated on the feasible approaches for developing a consistent state energy price series. The data series were compiled based upon the approaches approved after a formal EIA review. Detailed documentation was provided, including annual updating procedures. Recommendations were formulated for future improvements in the collection of data or in data processing. Generally, the geographical coverage includes the 50 states and the District of Columbia. Information on state-level energy use was generally taken from the State Energy Data System (SEDS). Corresponding average US prices are also developed using volumes reported in SEDS. To the extent possible, the prices developed are quantity weighted average retail prices. Both a Btu price series and a physical unit price series are developed for each fuel. The period covered by the data series is 1970 through 1980 for most fuels, though prices for electricity and natural gas extend back to 1960. (PSB)

Fang, J.M.; Nieves, L.A.; Sherman, K.L.; Hood, L.J.

1982-06-01T23:59:59.000Z

410

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

411

Annual Energy Outlook 2009 - High Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

6-2030) 6-2030) Annual Energy Outlook 2009 with Projections to 2030 XLS GIF Spreadsheets are provided in Excel High Price Case Tables (2006-2030) Table Title Formats Summary High Price Case Tables PDF GIF High Price Case Tables XLS GIF Table 1. Total Energy Supply and Disposition Summary XLS GIF Table 2. Energy Consumption by Sector and Source XLS GIF Table 3. Energy Prices by Sector and Source XLS GIF Table 4. Residential Sector Key Indicators and Consumption XLS GIF Table 5. Commercial Sector Indicators and Consumption XLS GIF Table 6. Industrial Sector Key Indicators and Consumption XLS GIF Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption XLS GIF Table 8. Electricity Supply, Disposition, Prices, and Emissions XLS GIF Table 9. Electricity Generating Capacity

412

EIA-Annual Energy Outlook 2010 - Low Oil PriceTables  

Gasoline and Diesel Fuel Update (EIA)

Oil Price Tables (2007-2035) Oil Price Tables (2007-2035) Annual Energy Outlook 2010 Main Low Oil Price Tables (2007- 2035) Table Title Formats Summary Low Oil Price Case Tables PDF Gif Year-by-Year Low Oil Price Case Tables Excel Gif Table 1. Total Energy Supply and Disposition Summary Excel Gif Table 2. Energy Consumption by Sector and Source Excel Gif Table 3. Energy Prices by Sector and Source Excel Gif Table 4. Residential Sector Key Indicators and Consumption Excel Gif Table 5. Commercial Sector Indicators and Consumption Excel Gif Table 6. Industrial Sector Key Indicators and Consumption Excel Gif Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Excel Gif Table 8. Electricity Supply, Disposition, Prices, and Emissions Excel Gif Table 9. Electricity Generating Capacity

413

Natural Gas Industrial 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. 7.68 9.65 5.33 5.49 5.13 3.89 1997-2012 Alabama 8.70 10.57 6.48 6.64 5.57 4.35 1997-2012 Alaska 4.67 5.49 4.02 4.23 3.84 5.11 1997-2012 Arizona 10.49 10.47 8.19 7.54 6.86 5.78 1997-2012 Arkansas 9.51 10.56 8.44 7.28 7.44 6.38 1997-2012 California 9.07 10.80 6.56 7.02 7.04 5.77 1997-2012 Colorado 7.21 8.76 6.57 5.84 6.42 5.79 1997-2012 Connecticut 10.54 12.63 8.44 9.60 9.16 8.83 1997-2012 Delaware 8.93 12.54 13.99 10.18 11.69 11.61 1997-2012 District of Columbia -- -- -- -- -- -- 2001-2012

414

Natural Gas Industrial Price  

Gasoline and Diesel Fuel Update (EIA)

7.68 9.65 5.33 5.49 5.13 3.89 1997-2012 7.68 9.65 5.33 5.49 5.13 3.89 1997-2012 Alabama 8.70 10.57 6.48 6.64 5.57 4.35 1997-2012 Alaska 4.67 5.49 4.02 4.23 3.84 5.11 1997-2012 Arizona 10.49 10.47 8.19 7.54 6.86 5.78 1997-2012 Arkansas 9.51 10.56 8.44 7.28 7.44 6.38 1997-2012 California 9.07 10.80 6.56 7.02 7.04 5.77 1997-2012 Colorado 7.21 8.76 6.57 5.84 6.42 5.79 1997-2012 Connecticut 10.54 12.63 8.44 9.60 9.16 8.83 1997-2012 Delaware 8.93 12.54 13.99 10.18 11.69 11.61 1997-2012 District of Columbia -- -- -- -- -- -- 2001-2012 Florida 10.56 11.72 9.41 8.33 8.07 6.96 1997-2012 Georgia 8.86 11.02 6.21 6.25 5.90 4.60 1997-2012 Hawaii 18.66 26.74 19.05 24.10 29.80 30.89 1997-2012 Idaho 9.39 9.18 8.53 6.39 6.36 5.73 1997-2012 Illinois

415

Natural Gas Industrial Price  

Gasoline and Diesel Fuel Update (EIA)

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. 7.68 9.65 5.33 5.49 5.13 3.89 1997-2012 Alabama 8.70 10.57 6.48 6.64 5.57 4.35 1997-2012 Alaska 4.67 5.49 4.02 4.23 3.84 5.11 1997-2012 Arizona 10.49 10.47 8.19 7.54 6.86 5.78 1997-2012 Arkansas 9.51 10.56 8.44 7.28 7.44 6.38 1997-2012 California 9.07 10.80 6.56 7.02 7.04 5.77 1997-2012 Colorado 7.21 8.76 6.57 5.84 6.42 5.79 1997-2012 Connecticut 10.54 12.63 8.44 9.60 9.16 8.83 1997-2012 Delaware 8.93 12.54 13.99 10.18 11.69 11.61 1997-2012 District of Columbia -- -- -- -- -- -- 2001-2012

416

Natural Gas Industrial Price  

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

66 5.38 5.35 4.88 4.95 4.96 2001-2014 Alabama 6.03 5.66 4.94 4.69 4.77 4.70 2001-2014 Alaska 7.84 7.85 8.10 7.84 8.02 7.87 2001-2014 Arizona 7.57 7.62 7.61 7.48 8.08 8.15 2001-2014...

417

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

418

Impact of Industrial Electric Rate Structure on Load Management - A Utility Viewpoint  

E-Print Network [OSTI]

A few years ago our response to an inquiry regarding availability of electric service for a large industrial load was something like: 'Let us put this into our production model to determine whether we will have adequate generating capacity to commit...

Richardson, J. A.

1984-01-01T23:59:59.000Z

419

Review of China's Low-Carbon City Initiative and Developments in the Coal Industry  

E-Print Network [OSTI]

prices but rising coal prices). The Chinese government hasenergy price reform, the coal price of major state-ownedwith rising market coal prices but fixed electricity and

Fridley, David

2014-01-01T23:59:59.000Z

420

"Annual Electric Power Industry Report (EIA-861 data file)  

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

FILES FILES Electric power sales, revenue, and energy efficiency Form EIA-861 detailed data files Release Date for 2012: October 29, 2013 Next Release date: October 29, 2014 Re-Release 2012 data: December 9, 2013 (CORRECTION) Data files include information such as peak load, generation, electric purchases, sales, revenues, customer counts and demand-side management programs, green pricing and net metering programs, and distributed generation capacity. The EIA-861S (Short Form) was created in 2012. Approximately 1,100 utilities completed this form in lieu of the EIA-861. The short form has fewer questions and collects retail sales data as an aggregate and not by customer sector. EIA has estimated the customer sector breakdown for this data and has included under the file called "Retail Sales." Advanced metering data and time-of-use data are collected on both Form EIA-861 and Form EIA-861S.

Note: This page contains sample records for the topic "industrial price electric" 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

Carbon Dioxide Capture Technology for the Coal-Powered Electricity Industry: A Systematic Prioritization of Research Needs  

E-Print Network [OSTI]

Carbon Dioxide Capture Technology for the Coal-Powered Electricity Industry: A Systematic and Policy Program #12;- 2 - #12;Carbon Dioxide Capture Technology for the Coal-Powered Electricity Industry must be developed for capturing CO2 from power plants. Current CO2 capture technology is expensive

422

Weather satellites and the economic value of forecasts: evidence from the electric power industry  

Science Journals Connector (OSTI)

Data from weather satellites have become integral to the weather forecast process in the United States and abroad. Satellite data are used to derive improved forecasts for short-term routine weather, long-term climate change, and for predicting natural disasters. The resulting forecasts have saved lives, reduced weather-related economic losses, and improved the quality of life. Weather information routinely assists in managing resources more efficiently and reducing industrial operating costs. The electric energy industry in particular makes extensive use of weather information supplied by both government and commercial suppliers. Through direct purchases of weather data and information, and through participating in the increasing market for weather derivatives, this sector provides measurable indicators of the economic importance of weather information. Space weather in the form of magnetic disturbances caused by coronal mass ejections from the sun creates geomagnetically induced currents that disturb the electric power grid, sometimes causing significant economic impacts on electric power distribution. This paper examines the use of space-derived weather information on the U.S. electric power industry. It also explores issues that may impair the most optimum use of the information and reviews the longer-term opportunities for employing weather data acquired from satellites in future commercial and government activity.

Henry R. Hertzfeld; Ray A. Williamson; Avery Sen

2004-01-01T23:59:59.000Z

423

Electricity Industry Leaders U.S. Utilities, Grid Operators, Others Come Together  

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

is Focus of New Effort by is Focus of New Effort by Electricity Industry Leaders U.S. Utilities, Grid Operators, Others Come Together in National Effort to Tackle Important New Electricity Area (Washington, DC, July 1, 2004) A new group formed to work on the important new electricity area known as demand response was announced today in Washington, DC. The United States Demand Response Coordinating Committee (DRCC) will bring together a number of parties to focus on developing information and tools needed to allow demand response to be another option employed to address national, regional and state electricity issues and challenges. The DRCC's efforts are the U.S. part of a larger, global demand response effort announced recently by the International Energy Agency's

424

Montana 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 5.72 7.50 3.16 3.64 1967-2010 Imports Price 6.66 8.22 3.88 4.13 3.75 2.45 1989-2012 Exports Price 6.16 8.14 3.63 4.05 3.82 2.40 1989-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 6.42 7.71 5.63 5.17 5.11 4.23 1984-2012 Residential Price 9.91 11.45 9.50 8.64 8.80 8.06 1967-2012 Percentage of Total Residential Deliveries included in Prices 99.9 99.9 99.8 99.8 99.8 99.8 1989-2012 Commercial Price 9.76 11.32 9.41 8.54 8.66 7.98 1967-2012 Percentage of Total Commercial Deliveries included in Prices 78.5 79.6 49.2 54.6 53.3 52.9 1990-2012 Industrial Price 9.75 11.04 9.06 8.07 8.13 7.54 1997-2012 Percentage of Total Industrial Deliveries included in Prices

425

Louisiana 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 7.02 8.73 3.82 4.23 1967-2010 Imports Price 6.98 9.76 3.89 4.84 7.57 7.98 1989-2012 Exports Price -- -- -- 7.07 9.63 11.80 2007-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.22 9.58 5.96 5.43 5.67 3.48 1984-2012 Residential Price 14.20 15.49 13.15 11.73 11.37 11.54 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 11.83 13.52 10.46 9.88 9.36 8.44 1967-2012 Percentage of Total Commercial Deliveries included in Prices 98.0 98.4 92.0 85.9 83.6 78.0 1990-2012 Industrial Price 7.08 9.32 4.31 4.68 4.25 2.96 1997-2012 Percentage of Total Industrial Deliveries included in Prices

426

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

427

Industrial  

Gasoline and Diesel Fuel Update (EIA)

Industrial Industrial 8,870,422 44.3% Commercial 3,158,244 15.8% Electric Utilities 2,732,496 13.7% Residential 5,241,414 26.2% Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." T e x a s L o u i s i a n a C a l i f o r n i a A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Industrial Billion Cubic Meters T e x a s C a l i f o r n i a F l o r i d a A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Electric Utilities Billion Cubic Meters N e w Y o r k C a l i f o r n i a I l l i n o i s A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Commercial Billion Cubic Meters I l l i n o i s C a l i f o r n i a N e w Y o r k A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Residential Billion Cubic Meters 11. Natural Gas Delivered to Consumers in the United States, 1996 Figure Volumes in Million Cubic Feet Energy Information Administration

428

Visioning the 21st Century Electricity Industry: Outcomes and Strategies for America  

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

Lauren Azar Lauren Azar Senior Advisor to the Secretary U. S. Department of Energy 8 February 2012 Visioning the 21 st Century Electricity Industry: Strategies and Outcomes for America http://teeic.anl.gov/er/transmission/restech/dist/index.cfm We all have "visions," in one form or another: * Corporations call them strategic plans * RTOs ... transmission expansion plans or Order 1000 plans * State PUCs ... integrated resource plans * Employees ... career goals Artist: Paolo Frattesi Artist: Paolo Frattesi DOE asks your help... Our Future? 1. Enable a seamless, cost-effective electricity

429

The electric and gas industries are converging: What does it mean?  

SciTech Connect (OSTI)

Three broad views define deregulation in retail gas and electric markets. One sees the future as but a lengthened shadow of the present. Change is glacial. The second predicts a significant but mannerly shift-a leisurely transition from monopoly to competition. The third posits revolution. It awaits a future marked by epochal, discontinuous, and abrupt changes. This third future is the most interesting. It raises the stakes. This article examines the industrial organization of gas and electric enterprises as they will be reinvented by those who embrace the third view. Not a prediction; rather, a thought experiment.

Dar, V.K.

1995-04-01T23:59:59.000Z

430

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 57, NO. 3, MARCH 2010 943 Electric Vehicle Using a Combination of  

E-Print Network [OSTI]

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 57, NO. 3, MARCH 2010 943 Electric Vehicle Using used for an experimental electric vehicle (EV). These batteries are cheaper than Li-ion cells and have. The results also show that this alternative is cheaper than Li-ion powered electric cars. Index Terms

Catholic University of Chile (Universidad Católica de Chile)

431

WATER AND BY-PRODUCT ISSUES IN THE ELECTRIC-UTILITY INDUSTRY  

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

and Power Conference in conjunction with 2 and Power Conference in conjunction with 2 nd Joint U.S.-People's Republic of China Conference on Clean Energy, November 17-19, 2003, Washington, DC A DOE R&D RESPONSE TO EMERGING COAL BY-PRODUCT AND WATER ISSUES IN THE ELECTRIC-UTILITY INDUSTRY Thomas J. Feeley, III Technology Manager U.S. Department of Energy - Office of Fossil Energy National Energy Technology Laboratory Pittsburgh, PA ABSTRACT While the regulation and control of air emissions will continue to be of primary concern to the electric-utility industry over the next several decades, other environmental-related issues may also impact the operation of existing and new coal-based power systems. Coal by-products are one such issue. Coal-fired power plants generate nearly 118 million tons of fly ash, flue gas

432

Fairness and dynamic pricing: comments  

SciTech Connect (OSTI)

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

Hogan, William W.

2010-07-15T23:59:59.000Z

433

Implementing price increases in turbulent economies: Pricing approaches for reducing perceptions of price unfairness  

Science Journals Connector (OSTI)

Abstract Consumer frustration over having less money in their pockets and, at the same time facing higher prices for products and services in the marketplace, arises during turbulent economic times (e.g., post-2007). Sellers suffer increased costs and pass along increases by raising prices to consumers. The current article discusses trends in the pricing literature and in practice that sellers utilize in limiting perceptions of price unfairness, particularly when increasing price in turbulent economic times. Specifically, engaging in transparency in pricing by revealing information about price changes to the consumer during poor economic times potentially reduces perceptions of price unfairness. Using industry-common price-setting practices, shrinking product volume, providing automatic rebates promotions, or offering price-matching promotions also likely reduces perceptions of price unfairness.

Jodie L. Ferguson

2014-01-01T23:59:59.000Z

434

Industrial  

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

Products Industrial Institutional Multi-Sector Residential Momentum Savings Regional Efficiency Progress Report Utility Toolkit Energy Smart Industrial - Energy Management...

435

Industry  

E-Print Network [OSTI]

2004). US DOE’s Industrial Assessment Centers (IACs) are anof Energy’s Industrial Assessment Center program in SMEs

Bernstein, Lenny

2008-01-01T23:59:59.000Z

436

National Laboratory Dorene Price  

E-Print Network [OSTI]

Brookhaven National Laboratory Dorene Price Office of Intellectual Property and Sponsored Research: price@bnl.gov ELECTROCHEMICAL ENHANCEMENT OF BIO-ETHANOL AND METABOLITE PRODUCTION Brookhaven National-ethanol fuel, as a beverage, or industries which by means of fermenting microbes commercially make ethanol

437

Maryland 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 NA NA NA NA 1967-2010 Imports Price 7.25 9.09 4.05 5.37 5.30 13.82 1999-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 9.24 10.23 8.02 6.49 6.26 5.67 1984-2012 Residential Price 15.17 16.07 13.73 12.44 12.10 12.17 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 79.3 77.0 1989-2012 Commercial Price 12.30 13.12 10.87 9.87 10.29 10.00 1967-2012 Percentage of Total Commercial Deliveries included in Prices 100.0 100.0 100.0 100.0 27.3 24.7 1990-2012 Industrial Price 11.59 13.46 10.70 9.05 8.61 8.01 1997-2012 Percentage of Total Industrial Deliveries included in Prices 7.8 6.3 5.3 5.3 5.5 5.1 1997-2012

438

Alabama 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 7.44 9.65 4.32 4.46 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.78 9.84 7.61 6.46 5.80 5.18 1984-2012 Residential Price 18.14 18.30 18.12 15.79 15.08 16.20 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 15.06 15.58 14.94 13.34 12.36 12.55 1967-2012 Percentage of Total Commercial Deliveries included in Prices 79.8 80.2 78.8 79.3 78.9 76.2 1990-2012 Industrial Price 8.70 10.57 6.48 6.64 5.57 4.35 1997-2012 Percentage of Total Industrial Deliveries included in Prices 24.0 27.2 27.9 23.7 23.5 22.1 1997-2012 Vehicle Fuel Price -- 17.32 19.17 16.24 11.45 17.99 1990-2012

439

Massachusetts 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 7.32 10.34 5.90 4.86 4.77 3.69 1989-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 9.34 10.29 8.29 7.74 7.04 6.03 1984-2012 Residential Price 16.99 17.18 14.85 14.53 13.81 13.22 1967-2012 Percentage of Total Residential Deliveries included in Prices 99.9 85.0 85.6 85.4 89.3 87.8 1989-2012 Commercial Price 15.08 15.25 12.85 12.00 11.68 10.68 1967-2012 Percentage of Total Commercial Deliveries included in Prices 65.3 57.9 56.9 52.1 50.0 48.6 1990-2012 Industrial Price 14.83 15.23 12.07 10.41 10.14 9.82 1997-2012 Percentage of Total Industrial Deliveries included in Prices 29.9 20.6 21.1 19.4 20.6 17.7 1997-2012 Vehicle Fuel Price 12.84 13.80 12.99 12.48 4.28 14.81 1990-2012

440

Pennsylvania 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 NA NA NA NA 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 9.35 10.39 7.81 7.04 6.28 5.52 1984-2012 Residential Price 14.66 16.22 14.74 12.90 12.46 11.99 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 91.2 88.6 1989-2012 Commercial Price 12.77 14.29 11.83 10.47 10.42 10.24 1967-2012 Percentage of Total Commercial Deliveries included in Prices 100.0 100.0 100.0 100.0 48.5 42.1 1990-2012 Industrial Price 10.64 12.09 9.19 8.23 9.86 9.58 1997-2012 Percentage of Total Industrial Deliveries included in Prices 5.4 5.7 4.5 3.8 2.0 1.3 1997-2012 Vehicle Fuel Price 10.83 8.30 5.15 3.76 3.40 7.96 1990-2012

Note: This page contains sample records for the topic "industrial price electric" 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

Indiana 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 5.78 7.58 4.05 4.13 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.83 8.94 5.59 5.52 4.97 4.23 1984-2012 Residential Price 11.29 12.65 10.81 8.63 9.46 8.94 1967-2012 Percentage of Total Residential Deliveries included in Prices 96.2 95.0 93.6 94.1 94.6 94.5 1989-2012 Commercial Price 10.20 11.14 9.18 7.55 8.04 7.68 1967-2012 Percentage of Total Commercial Deliveries included in Prices 78.1 77.9 73.9 72.5 70.2 67.5 1990-2012 Industrial Price 8.45 10.48 6.91 5.65 6.53 6.19 1997-2012 Percentage of Total Industrial Deliveries included in Prices 7.4 6.7 7.0 5.6 3.5 1.9 1997-2012 Vehicle Fuel Price 6.09 7.94 4.08 5.19 13.24 12.29 1990-2012

442

Florida 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 NA NA NA NA 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.97 9.73 5.76 5.49 5.07 3.93 1984-2012 Residential Price 20.61 21.07 20.18 17.89 18.16 18.31 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 98.0 97.7 1989-2012 Commercial Price 13.07 14.45 11.09 10.60 11.14 10.41 1967-2012 Percentage of Total Commercial Deliveries included in Prices 100.0 100.0 100.0 100.0 38.5 37.0 1990-2012 Industrial Price 10.56 11.72 9.41 8.33 8.07 6.96 1997-2012 Percentage of Total Industrial Deliveries included in Prices 3.1 3.0 3.2 3.0 3.0 2.7 1997-2012 Vehicle Fuel Price 12.82 15.56 13.16 17.98 5.56 9.83 1989-2012

443

Oregon 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 5.27 5.33 4.00 4.92 1979-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.14 8.82 7.79 6.78 5.84 5.21 1984-2012 Residential Price 14.65 13.89 14.52 12.49 11.76 11.22 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 12.36 11.57 11.86 10.10 9.60 8.91 1967-2012 Percentage of Total Commercial Deliveries included in Prices 98.5 98.5 98.4 97.4 97.4 96.9 1990-2012 Industrial Price 9.30 9.07 9.70 7.05 6.84 5.87 1997-2012 Percentage of Total Industrial Deliveries included in Prices 21.8 20.1 18.9 17.1 17.1 16.7 1997-2012 Vehicle Fuel Price 6.59 8.03 7.11 5.61 4.23 4.57 1992-2012

444

Arizona 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 5.98 7.09 3.19 4.11 1967-2010 Exports Price 6.94 8.09 3.79 4.57 4.28 3.07 1989-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.25 8.49 7.21 6.59 5.91 4.68 1984-2012 Residential Price 17.21 17.60 17.65 15.87 15.04 15.75 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 12.84 13.01 12.15 10.72 9.99 9.35 1967-2012 Percentage of Total Commercial Deliveries included in Prices 93.4 93.1 88.0 88.7 87.8 86.6 1990-2012 Industrial Price 10.49 10.47 8.19 7.54 6.86 5.78 1997-2012 Percentage of Total Industrial Deliveries included in Prices 31.3 29.6 29.1 25.5 24.2 21.4 1997-2012

445

Colorado 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 4.57 6.94 3.21 3.96 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 6.23 6.98 5.09 5.26 4.94 4.26 1984-2012 Residential Price 8.84 9.77 8.80 8.13 8.25 8.31 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 8.10 9.01 7.56 7.58 7.84 7.58 1967-2012 Percentage of Total Commercial Deliveries included in Prices 95.7 95.2 94.8 94.6 93.8 92.2 1990-2012 Industrial Price 7.21 8.76 6.57 5.84 6.42 5.79 1997-2012 Percentage of Total Industrial Deliveries included in Prices 0.5 0.6 0.5 5.2 7.5 6.8 1997-2012 Vehicle Fuel Price 8.72 13.57 9.12 10.79 9.56 11.65 1990-2012

446

Alaska 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 5.63 7.39 2.93 3.17 1967-2010 Exports Price 6.21 7.69 8.59 12.19 12.88 15.71 1989-2012 Pipeline and Distribution Use Price 1970-2005 Citygate Price 6.75 6.74 8.22 6.67 6.53 6.14 1988-2012 Residential Price 8.68 8.72 10.23 8.89 8.77 8.47 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 7.57 8.66 9.51 8.78 8.09 8.09 1967-2012 Percentage of Total Commercial Deliveries included in Prices 76.0 74.9 85.3 87.7 88.6 94.9 1990-2012 Industrial Price 4.67 5.49 4.02 4.23 3.84 5.11 1997-2012 Percentage of Total Industrial Deliveries included in Prices 70.0 78.2 72.5 70.5 60.8 100.0 1997-2012

447

Kansas 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 5.69 6.85 3.16 4.23 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.27 8.85 6.12 6.08 5.53 4.74 1984-2012 Residential Price 12.97 13.00 11.10 10.61 9.93 10.13 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 12.04 12.24 10.01 9.65 8.89 8.82 1967-2012 Percentage of Total Commercial Deliveries included in Prices 64.8 64.9 65.7 66.0 62.6 59.7 1990-2012 Industrial Price 7.17 9.42 4.59 5.49 5.28 3.95 1997-2012 Percentage of Total Industrial Deliveries included in Prices 5.9 7.8 6.7 7.0 9.5 8.8 1997-2012 Vehicle Fuel Price -- -- -- -- 9.87 9.00 1994-2012

448

Missouri 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 1967-1997 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.53 8.03 7.06 6.17 5.85 5.27 1984-2012 Residential Price 13.42 13.36 12.61 11.66 12.02 12.25 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 11.82 12.02 10.81 10.28 9.99 9.54 1967-2012 Percentage of Total Commercial Deliveries included in Prices 76.9 77.5 76.7 76.5 73.1 69.2 1990-2012 Industrial Price 10.84 11.32 9.55 8.70 8.54 7.93 1997-2012 Percentage of Total Industrial Deliveries included in Prices 12.8 13.9 13.2 13.1 13.4 12.5 1997-2012 Vehicle Fuel Price 8.44 8.66 7.86 6.34 6.11 5.64 1994-2012

449

Arkansas 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 6.61 8.72 3.43 3.84 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.55 8.88 7.86 6.76 6.27 5.36 1984-2012 Residential Price 13.08 14.09 13.39 11.53 11.46 11.82 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 10.07 11.32 10.72 8.89 8.90 7.99 1967-2012 Percentage of Total Commercial Deliveries included in Prices 70.4 64.5 59.4 55.6 51.5 40.2 1990-2012 Industrial Price 9.51 10.56 8.44 7.28 7.44 6.38 1997-2012 Percentage of Total Industrial Deliveries included in Prices 4.2 3.9 3.7 2.8 2.1 1.9 1997-2012 Vehicle Fuel Price 8.39 -- -- -- -- 9.04 1994-2012

450

Maine 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 7.57 9.77 4.48 4.94 4.40 3.45 1999-2012 Exports Price -- -- 5.62 4.53 4.46 4.30 2007-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 10.46 13.47 8.64 8.19 8.14 7.73 1984-2012 Residential Price 16.90 17.47 16.43 14.14 14.20 15.94 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 99.9 100.0 100.0 1989-2012 Commercial Price 14.82 15.87 13.94 11.71 11.69 12.22 1967-2012 Percentage of Total Commercial Deliveries included in Prices 46.2 45.0 51.0 45.0 45.8 42.1 1990-2012 Industrial Price 13.40 14.89 9.12 11.23 10.89 10.35 1997-2012 Percentage of Total Industrial Deliveries included in Prices 0.8 0.8 1.2 0.6 0.5 0.4 1997-2012

451

Idaho 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 6.31 7.88 3.86 4.19 3.90 2.59 1989-2012 Exports Price -- 7.43 4.49 5.85 4.74 -- 1999-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 6.68 7.48 5.63 4.82 4.65 4.07 1984-2012 Residential Price 11.47 11.07 10.54 8.95 8.80 8.26 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 10.67 10.28 9.77 8.21 8.09 7.35 1967-2012 Percentage of Total Commercial Deliveries included in Prices 84.8 86.0 83.7 82.0 80.8 77.0 1990-2012 Industrial Price 9.39 9.18 8.53 6.39 6.36 5.73 1997-2012 Percentage of Total Industrial Deliveries included in Prices 2.0 1.9 1.7 1.8 2.0 1.9 1997-2012

452

AEO2011: Petroleum Product Prices | OpenEI  

Open Energy Info (EERE)

4932 4932 Varnish cache server AEO2011: Petroleum Product 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

453

Industry  

E-Print Network [OSTI]

for example more efficient electric motors and motor-drivenuse of more efficient electric motors and motor systems, arehigh efficiency electric motors and insulation, etc. ) show

Bernstein, Lenny

2008-01-01T23:59:59.000Z

454

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

455

"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

456

CCPPolicyBriefing Resale Price  

E-Print Network [OSTI]

CCPPolicyBriefing Sept 2010 Resale Price Maintenance W: www.uea.ac.uk/ccp T: +44 (0)1603 593715 A: UEA, Norwich, NR4 7TJ Resale Price Maintenance and Restrictions on Dominant Firm and Industry-Wide Adoption BACKGROUND In June 2007, the nearly 100-year-old ban on retail price maintenance was overturned

Feigon, Brooke

457

Product-service systems in the electric car industry: critical success factors in marketing  

Science Journals Connector (OSTI)

Abstract In the electric car industry the service component assumes considerable importance and it is a relevant factor in purchasing decisions. Therefore, proper management of the “Product-Service System” (PSS) is essential. This article aims to 1) identify the main sub-systems of the PSS in the electric car industry and 2) identify the critical success factors (CSFs) in marketing. The review of the literature led to the definition of four sub-systems: vehicle, infrastructure, on-board electronics, and energy. Based on these PSS sub-systems, organisations belonging to each sub-system were selected, and five managers were interviewed. The data were analysed using a cognitive mapping technique. Ten \\{CSFs\\} were identified, of which two belong to the vehicle sub-system (value proposition and product-service system bundle); one relates to the electronic on-board sub-system (advanced navigation systems); three relate to infrastructure sub-system (incentives, alternative transport systems and advocacy campaigns) and three belong to infrastructure and energy sub-systems (ease of use, proximity of charging point and standardisation). Finally, partnerships among players involve all the four sub-systems. Moreover, the relevance/manageability matrix offers evidence that partnerships represent a priority factor that requires immediate action from companies. The research offers a new means to identify \\{CSFs\\} by using a PSS analysis rather than taking an industry sector perspective.

Sergio Cherubini; Gennaro Iasevoli; Laura Michelini

2014-01-01T23:59:59.000Z

458

The Rising Cost of Electricity Generation  

SciTech Connect (OSTI)

Through most of its history, the electric industry has experienced a stable or declining cost structure. Recently, the economic fundamentals have shifted and generating costs are now rising and driving up prices at a time when the industry faces new challenges to reduce CO{sub 2} emissions. New plant investment faces the most difficult economic environment in decades.

Tobey Winters

2008-06-15T23:59:59.000Z

459

Electricity derivatives and risk management S.J. Denga,*  

E-Print Network [OSTI]

Electricity derivatives and risk management S.J. Denga,* , S.S. Orenb a School of Industrial Engineering and Operations Research, University of California, Berkeley, CA 94720, USA Abstract Electricity of electricity production and distribution. Uncontrolled exposure to market price risks can lead to devastating

460

Experimental Investigation on Energy Efficiency of Electrical Utilities in Process Industries through Standard Energy Conservation Practices  

Science Journals Connector (OSTI)

Abstract In this research paper energy uses and energy conservation opportunities for process industry is presented. It has been found that process industries consume a substantial amount of energy. Excessive use of energy is usually associated with many process plants in India. The study is based on the realization that enormous potential exists for cost effective improvements in the existing energy using equipments. Through the method of energy audit power rating, operation time, power factor and other important details of all the machines/equipments were collected for the selected industry. The measured data was analysed to find energy conservation opportunity. Energy saving techniques like, energy efficient pumps, stopping of air leakages, air compressor efficiency improvement was considered for energy conservation. Energy saving details was calculated with cost benefit analysis. Energy conservation implementation program was carried out for Centrifugal pumping system, Air compressor system, as per the management consent and requirement in the the selected industry. It has resulted in total saving of 2,29,369 electric units (kWh/year) and annual energy saving of Rs. 13,43,670 with an investment of Rs 2,45,000.

A. Vyas Pareshkumar; V. Bhale Purnanad

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial price electric" 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

2012,"Total Electric Power Industry","AK","Natural Gas",6,244.7,210.5  

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

TYPE_OF_PRODUCER","STATE_CODE","FUEL_SOURCE","GENERATORS","NAMEPLATE_CAPACITY TYPE_OF_PRODUCER","STATE_CODE","FUEL_SOURCE","GENERATORS","NAMEPLATE_CAPACITY (Megawatts)","SUMMER_CAPACITY (Megawatts)" 2012,"Total Electric Power Industry","AK","Natural Gas",6,244.7,210.5 2012,"Total Electric Power Industry","AK","Petroleum",4,4.8,4.8 2012,"Total Electric Power Industry","AK","Wind",1,24.6,24 2012,"Total Electric Power Industry","AK","All Sources",11,274.1,239.3 2012,"Total Electric Power Industry","AR","Coal",1,755,600 2012,"Total Electric Power Industry","AR","Natural Gas",1,22,20 2012,"Total Electric Power Industry","AR","All Sources",2,777,620

462

Industry  

E-Print Network [OSTI]

sized, high efficiency electric motors and insulation,by improving the efficiency of the electric motor throughelectric motors and motor-driven systems; high efficiency

Bernstein, Lenny

2008-01-01T23:59:59.000Z

463

Incentives to Accelerate the Penetration of Electricity in the Industrial Sector by Promoting New Technologies: A French Experiment  

E-Print Network [OSTI]

as costly and does not recover markedly, needs will only be wasteful of energy : this stems from a long period approximately 340 to 350 TWh. However, the French of low oil prices, as well as the still limited park of power stations (especially hydro-electric...-quarters of its energy mainly in the situation is least possible recourse to oil form of liquid hydro-carbons. National resources imports. On this basis, continuous recourse to were scarce -no oil, a little gas and coal, and electricity for new applications...

Bouchet, J.; Froehlich, R.

1983-01-01T23:59:59.000Z

464

Introduction Risk associated with an adverse price  

E-Print Network [OSTI]

Introduction Risk associated with an adverse price change (price risk) is a normal part commodities are sold suggests price risk is an unavoidable part of being involved in the industry. Producers that have significant price variability. Recent domestic farm policy changes and trade barrier reductions

O'Laughlin, Jay

465

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

466

Industry  

E-Print Network [OSTI]

July, 2005. Price, L. , J. Sinton, E. Worrell, D. Phylipsen,L. , S. de la Rue du Can, J. Sinton, E. Worrell, N. Zhou, J.April, 2002), pp. 105-109. Sinton, J.E. and D.G. Fridley,

Bernstein, Lenny

2008-01-01T23:59:59.000Z

467

Conference Paper for Electricity Industry in Transition: Issues and Prospects for Asia, Bangkok, Thailand, Jan. 14-16, 2004. 2003 Dennis Ray and Frank Wayno  

E-Print Network [OSTI]

and Education in a Transitioning Electric Power Industry Dennis Ray Executive Director Power Systems Engineering, in some cases over an extended period of time. Historically, the electric-power system has been vertically countries in using collaborative research. 1 Introduction The electric supply industry is in transition from

468

Industry  

E-Print Network [OSTI]

Information on corn wet milling. Corn Refiners Association corn wet milling industry: An ENERGYas an automotive fuel. Corn wet milling is the most energy-

Bernstein, Lenny

2008-01-01T23:59:59.000Z

469

Industry  

E-Print Network [OSTI]

increased use of biomass and energy efficiency improvements,Moreira, J. , 2006: Global biomass energy potential. Journal1971–2004 Notes 1) Biomass energy included 2) Industrial

Bernstein, Lenny

2008-01-01T23:59:59.000Z

470

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

SciTech Connect (OSTI)

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

471

Industrial  

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

are stressed by an aging infrastructure and increased demand for power. Electricity distribution companies are under pressure to improve reliability and system performance,...

472

North Dakota 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 6.67 8.55 3.74 3.92 1967-2010 Imports Price 6.75 8.72 3.92 4.41 4.04 2.72 1994-2012 Exports Price -- -- -- -- -- -- 1999-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.04 8.03 5.16 5.50 5.06 4.43 1984-2012 Residential Price 9.13 10.34 8.46 8.08 8.10 7.43 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 8.37 9.58 7.41 7.03 7.00 6.04 1967-2012 Percentage of Total Commercial Deliveries included in Prices 93.3 93.4 92.9 92.6 92.8 91.9 1990-2012 Industrial Price 6.86 8.30 5.21 5.22 5.10 4.48 1997-2012 Percentage of Total Industrial Deliveries included in Prices

473

New York 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 8.85 8.94 4.21 4.65 1967-2010 Imports Price 7.43 9.36 4.67 5.43 4.96 3.83 1989-2012 Exports Price 12.07 -- -- -- 4.69 3.61 1999-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 9.02 10.07 7.35 6.86 6.04 5.35 1984-2012 Residential Price 15.73 16.78 15.05 14.04 13.71 12.97 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 11.82 12.86 10.72 10.88 9.32 7.84 1967-2012 Percentage of Total Commercial Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1990-2012 Industrial Price 11.43 12.30 9.52 8.55 8.18 6.92 1997-2012 Percentage of Total Industrial Deliveries included in Prices

474

Electricity - Data - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Find statistics on electric power plants, capacity, generation, fuel Find statistics on electric power plants, capacity, generation, fuel consumption, sales, prices and customers. + EXPAND ALL Summary Additional formats Summary electricity statistics 2001-2011 › XLS Supply and disposition of electricity 2002-2011 › XLS Electricity overview › Generation, retail sales, electricity trade, losses PDF XLS Consumption for electricity generation › Fossil and renewable fuel consumption for electricity generation PDF XLS Generating capacity › Electric net summer capacity by specific energy source more on electricity PDF XLS Monthly electricity overview - back to 1973 CSV PDF XLS Latest month total electric power industry summary statistics › Overview XLS Year-to-date total electric power industry summary statistics ›

475

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

476

E-BUSINESS FOR THE ELECTRICITY RETAIL MARKET A Business to Client perspective  

E-Print Network [OSTI]

E-BUSINESS FOR THE ELECTRICITY RETAIL MARKET A Business to Client perspective Victor Santos ISCAC - 290 Coimbra, Portugal Email: amartins@deec.uc.pt Keywords: Electrical retail, e-Business, B2B, B2C, real time price. Abstract: In the new deregulated market of the electricity industry the communication

Monteiro, Edmundo

477

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 ...

478

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

479

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

480

Towards Large Area Industrial Cost Competitive Coating for Thin Film Solar Electricity Production  

Science Journals Connector (OSTI)

Thin film PV market faces a struggling situation due to the need of reducing strongly prices, which can be done by increasing efficiency and reducing fabrication costs. Improvement of...

Bermudez, Veronica

Note: This page contains sample records for the topic "industrial price electric" 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

Price Server System for Automated Critical Peak Pricing  

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

482

Green Computing Wanted: Electricity Consumptions in the IT Industry and by Household Computers in Five Major Chinese Cities  

Science Journals Connector (OSTI)

Exhausted energy consumption becomes a world-wide issue nowadays. Computing contributes a large portion of energy consumption. The concept of green computing has been popularized. Along with the rapid development of China, energy issue becomes more and ... Keywords: energy/electricity consumption, IT industry, household computers, energy efficiency, green computing

Luyang Wang; Tao Wang

2011-08-01T23:59:59.000Z

483

Industry  

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

An Exploration of Innovation and An Exploration of Innovation and Energy Efficiency in an Appliance Industry Prepared by Margaret Taylor, K. Sydny Fujita, Larry Dale, and James McMahon For the European Council for an Energy Efficient Economy March 29, 2012 ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY LBNL - 5689E An Exploration of Innovation and Energy Efficiency in an Appliance Industry Abstract This report provides a starting point for appliance energy efficiency policy to be informed by an understanding of: the baseline rate and direction of technological change of product industries; the factors that underlie the outcomes of innovation in these industries; and the ways the innovation system might respond to any given intervention. The report provides an overview of the dynamics of energy efficiency policy and innovation in the appliance

484

Industry  

E-Print Network [OSTI]

for im- proving energy efficiency of corn wet milling havefor the corn wet milling industry: An ENERGY STAR Guide forfuel. Corn wet milling is the most energy-intensive food

Bernstein, Lenny

2008-01-01T23:59:59.000Z

485

Industry  

E-Print Network [OSTI]

options for combined heat and power in Canada. Office ofpolicies to promote combined heat and power in US industry.with fuel inputs in combined heat and power plants being

Bernstein, Lenny

2008-01-01T23:59:59.000Z

486

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

487

Essays on the industrial organization of the airline industry  

E-Print Network [OSTI]

This thesis analyzes several aspects of the Industrial Organization of the airline industry in three separate chapters. Chapter 1 investigates the effect of air traffic delays on airline prices. The degree to which prices ...

Januszewski, Silke I. (Silke Irene), 1974-

2003-01-01T23:59:59.000Z

488

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

489

The National Energy Modeling System: An Overview 2000 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to the electricity grid. The IDM structure is shown in Figure 7. industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to the electricity grid. The IDM structure is shown in Figure 7. Figure 7. Industrial Demand Module Structure Industrial energy demand is projected as a combination of “bottom up” characterizations of the energy-using technology and “top down” econometric estimates of behavior. The influence of energy prices on industrial energy consumption is modeled in terms of the efficiency of use of existing capital, the efficiency of new capital acquisitions, and the mix of fuels utilized, given existing capital stocks. Energy conservation from technological change is represented over time by trend-based “technology possibility curves.” These curves represent the aggregate efficiency of all new technologies that are likely to penetrate the future markets as well as the aggregate improvement in efficiency of 1994 technology.

490

The Paradox of Regulatory Development in China: The Case of the Electricity Industry  

E-Print Network [OSTI]

the private-owned power plants that sell electricity to theElectricity Nominal IRA Ineffective Regulation Non-competitive Market Public & Privatein the private investors‘ inferiority. In the electricity

Tsai, Chung-min

2010-01-01T23:59:59.000Z

491

Using Compressed Air Efficiency Projects to Reduce Peak Industrial Electric Demands: Lessons Learned  

E-Print Network [OSTI]

"To help customers respond to the wildly fluctuating energy markets in California, Pacific Gas & Electric (PG&E) initiated an emergency electric demand reduction program in October 2000 to cut electric use during peak periods. One component...

Skelton, J.

492

Impact of Cost and Reliability on Energy-Saving for Industrial Electrical Drives  

Science Journals Connector (OSTI)

The total electricity consumption of the world today is about 12,000 TWh (terawatthour) per annum and 80% is dedicated to electrical drives. Thus, energy saving is dominant in electrical drives where each per ...

Laszlo Szentirmai; Tivadar Szarka

2003-01-01T23:59:59.000Z

493

New Hampshire 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 7.52 9.72 5.04 5.48 5.45 4.08 1999-2012 Exports Price -- 7.61 -- -- 7.54 2.62 2007-2012 Pipeline and Distribution Use Price 1980-2005 Citygate Price 9.71 10.94 9.53 8.83 8.07 7.15 1984-2012 Residential Price 16.71 16.45 15.33 14.46 14.67 13.74 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 15.42 15.21 14.37 12.72 11.46 11.95 1977-2012 Percentage of Total Commercial Deliveries included in Prices 71.2 58.9 53.9 57.3 55.6 51.8 1990-2012 Industrial Price 13.45 14.37 12.86 11.59 11.57 10.48 1997-2012 Percentage of Total Industrial Deliveries included in Prices 15.3 17.7 20.6 12.8 10.7 9.0 1997-2012

494

West Virginia 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 NA NA NA NA 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.62 10.32 7.06 6.31 5.91 4.99 1984-2012 Residential Price 14.59 14.51 14.75 11.39 10.91 10.83 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 13.37 13.54 14.24 10.27 9.65 9.39 1967-2012 Percentage of Total Commercial Deliveries included in Prices 58.6 53.5 53.6 51.0 49.2 48.4 1990-2012 Industrial Price 8.51 10.94 5.55 5.40 4.89 3.56 1997-2012 Percentage of Total Industrial Deliveries included in Prices 16.2 19.0 17.4 14.7 15.6 16.2 1997-2012 Vehicle Fuel Price -- -- -- -- -- -- 1992-2012

495

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

496

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

497

No. 2 Distillate Prices - Industrial  

Gasoline and Diesel Fuel Update (EIA)

31 3.206 1.914 2.409 - - 1983-2012 31 3.206 1.914 2.409 - - 1983-2012 East Coast (PADD 1) 2.213 3.191 1.967 2.380 - - 1983-2012 New England (PADD 1A) 2.344 3.173 2.029 2.381 - - 1983-2012 Connecticut 2.289 3.101 1.976 2.400 - - 1983-2012 Maine 2.332 3.151 2.017 2.452 - - 1983-2012 Massachusetts 2.329 3.248 1.985 NA - - 1983-2012 New Hampshire 2.551 3.251 2.117 2.482 - - 1983-2012 Rhode Island 2.385 3.232 2.020 2.559 - - 1983-2012 Vermont 2.426 3.142 2.182 2.492 - - 1983-2012 Central Atlantic (PADD 1B) 2.299 3.186 1.921 2.380 - - 1983-2012 Delaware 2.304 3.183 1.964 2.344 - - 1983-2012 District of Columbia W W W W - - 1983-2012 Maryland 2.184 3.083 1.835 2.287 - - 1983-2012 New Jersey 2.257 3.145 1.916 2.315 - - 1983-2012

498

Propane (Consumer Grade) Prices - Industrial  

Gasoline and Diesel Fuel Update (EIA)

23 1.706 1.880 - - - 1994-2013 East Coast (PADD 1) 2.216 1.686 1.945 - - - 1994-2013 New England (PADD 1A) 2.355 1.765 1.954 - - - 1994-2013 Central Atlantic (PADD 1B) 2.321 1.760...

499

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...

500

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