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

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

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

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

2

Predicting market power in wholesale electricity markets  

E-Print Network [OSTI]

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

Newbery, David

3

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

4

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

E-Print Network [OSTI]

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

Bushnell, Jim B

2007-01-01T23:59:59.000Z

5

Incentive effects of paying demand response in wholesale electricity markets  

Science Journals Connector (OSTI)

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

Hung-po Chao; Mario DePillis

2013-06-01T23:59:59.000Z

6

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

E-Print Network [OSTI]

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

Keogh, Ross Patrick

2012-01-01T23:59:59.000Z

7

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

Science Journals Connector (OSTI)

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

Hung-po Chao

2011-02-01T23:59:59.000Z

8

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.

9

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

E-Print Network [OSTI]

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

Oren, Shmuel S.

10

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

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

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

11

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

E-Print Network [OSTI]

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

Phadke, Amol

2007-01-01T23:59:59.000Z

12

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

SciTech Connect (OSTI)

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

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

2014-09-01T23:59:59.000Z

13

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

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

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

14

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

E-Print Network [OSTI]

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

Goggins, Andrew

2013-01-01T23:59:59.000Z

15

Dynamic Testing of Wholesale Power Market Designs  

E-Print Network [OSTI]

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

Tesfatsion, Leigh

16

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

17

An Equilibrium Model of Investment in Restructured Electricity Markets  

E-Print Network [OSTI]

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

Bushnell, Jim B; Ishii, Jun

2007-01-01T23:59:59.000Z

18

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

E-Print Network [OSTI]

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

Oren, Shmuel S.

19

Property:EIA/861/ActivityWholesaleMarketing | Open Energy Information  

Open Energy Info (EERE)

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

20

REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR  

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

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

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

REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR  

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

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

22

Reliability and competitive electricity markets  

E-Print Network [OSTI]

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

Joskow, Paul L.

2004-01-01T23:59:59.000Z

23

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

E-Print Network [OSTI]

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

24

Wholesale Electricity and Emissions Trading  

Science Journals Connector (OSTI)

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

2008-01-01T23:59:59.000Z

25

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

E-Print Network [OSTI]

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

Phadke, Amol

2007-01-01T23:59:59.000Z

26

Electricity Monthly Update  

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

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

27

Electricity Monthly Update  

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

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

28

Electricity Monthly Update  

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

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

29

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

30

Efficiency Impact of Convergence Bidding on the California Electricity Market  

E-Print Network [OSTI]

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

Oren, Shmuel S.

31

Texas Wholesale Market for Christmas Trees.  

E-Print Network [OSTI]

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

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

1964-01-01T23:59:59.000Z

32

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

E-Print Network [OSTI]

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

Tesfatsion, Leigh

33

Opportunities and obstacles in the wholesale power market  

SciTech Connect (OSTI)

This paper describes the following: service opportunities, market center, relationships, and obstacles in the electric power market.

James, L.M. [SRP, Phoenix, AZ (United States)

1996-12-31T23:59:59.000Z

34

Market power and electricity market reform in Northeast China  

E-Print Network [OSTI]

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

Zhang, Xiaochun

2008-01-01T23:59:59.000Z

35

Electricity Markets  

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

Electricity Markets Electricity Markets Researchers in the electricity markets area conduct technical, economic, and policy analysis of energy topics centered on the U.S. electricity sector. Current research seeks to inform public and private decision-making on public-interest issues related to energy efficiency and demand response, renewable energy, electricity resource and transmission planning, electricity reliability and distributed generation resources. Research is conducted in the following areas: Energy efficiency research focused on portfolio planning and market assessment, design and implementation of a portfolio of energy efficiency programs that achieve various policy objectives, utility sector energy efficiency business models, options for administering energy efficiency

36

Diagnosing Unilateral Market Power in Electricity Reserves Market  

E-Print Network [OSTI]

to diagnose allocative ine ciencies in the state's wholesale reserve markets. Material that has been largely in the state's energy markets (Hildebrandt [2001]; She rin [2001]; Borenstein, Bushnell and Wolak [2002Diagnosing Unilateral Market Power in Electricity Reserves Market Christopher R. Knittel

Rothman, Daniel

37

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

E-Print Network [OSTI]

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

38

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

39

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

E-Print Network [OSTI]

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

Tesfatsion, Leigh

40

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

E-Print Network [OSTI]

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

Oren, Shmuel S.

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

United States of America Electric Energy Market Competition Task Force  

E-Print Network [OSTI]

of competition within the wholesale and retail market for electric energy in the United States and to submiti United States of America Electric Energy Market Competition Task Force and the Federal Energy and Retail Markets for Electric Energy Docket No. AD05

Tesfatsion, Leigh

42

Competitive electricity markets and investment in new generating capacity  

E-Print Network [OSTI]

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

Joskow, Paul L.

2006-01-01T23:59:59.000Z

43

Chapter 4. Participating in Markets for Electrical Energy  

E-Print Network [OSTI]

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

Ernst, Damien

44

Capacity Markets for Electricity  

E-Print Network [OSTI]

ternative Approaches for Power Capacity Markets”, Papers andprof id=pjoskow. Capacity Markets for Electricity [13]Utility Commission- Capacity Market Questions”, available at

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

45

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

SciTech Connect (OSTI)

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

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

2013-04-01T23:59:59.000Z

46

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

Science Journals Connector (OSTI)

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

Edward J. Anderson; Huifu Xu

2006-07-01T23:59:59.000Z

47

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

E-Print Network [OSTI]

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

Holmberg, P; Newbery, David

48

Simulating Electricity Restructuring in California: Interactions with the Regional Market  

E-Print Network [OSTI]

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

California at Berkeley. University of

49

REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS...  

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

Regulatory Commission's Proposal for Standard Market Design 2010 Assessment of Demand Response and Advanced Metering - Staff Report STUDY OF THE EFFECT OF PRIVATE WIRE LAWS ON...

50

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

51

Electricity Market Module  

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

Market Module Market Module This page inTenTionally lefT blank 101 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2013, DOE/EIA-M068(2013). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

52

Abstract--We consider the management of electric vehicle (EV) loads within a market-based Electric Power System  

E-Print Network [OSTI]

battery charging while engaging in energy and reserve capacity transactions in the wholesale power market day-ahead and real-time power market framework similar to that used in the major USA power pools (PJMAbstract--We consider the management of electric vehicle (EV) loads within a market-based Electric

Caramanis, Michael

53

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

E-Print Network [OSTI]

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

Figueroa Rodriguez, Cristian Ricardo

2013-01-01T23:59:59.000Z

54

Effects of Demand Response on Retail and Wholesale Power Markets  

SciTech Connect (OSTI)

Demand response has grown to be a part of the repertoire of resources used by utilities to manage the balance between generation and load. In recent years, advances in communications and control technology have enabled utilities to consider continuously controlling demand response to meet generation, rather than the other way around. This paper discusses the economic applications of a general method for load resource analysis that parallels the approach used to analyze generation resources and uses the method to examine the results of the US Department of Energy’s Olympic Peninsula Demonstration Testbed. A market-based closed-loop system of controllable assets is discussed with necessary and sufficient conditions on system controllability, observability and stability derived.

Chassin, David P.; Kalsi, Karanjit

2012-07-26T23:59:59.000Z

55

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page inTenTionally lefT blank 91 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2012, DOE/EIA-M068(2012). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

56

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 95 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2011, DOE/EIA-M068(2011). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

57

Market Organization and Efficiency in Electricity Markets  

E-Print Network [OSTI]

Market Organization and Efficiency in Electricity Markets Erin T. Mansur and Matthew W. White October 2007 ­ Draft Abstract Electricity markets exhibit two different forms of organization costs. Our analysis points to the merits of organized market institutions for electricity, a central

Sadoulet, Elisabeth

58

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

59

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

SciTech Connect (OSTI)

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

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

2001-06-25T23:59:59.000Z

60

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

Broader source: Energy.gov [DOE]

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

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

Impact of U.S. Wholesale Demand for Canned Sardines on Market Accessibility of Potential Gulf of Mexico Products  

E-Print Network [OSTI]

Impact of U.S. Wholesale Demand for Canned Sardines on Market Accessibility of Potential Gulf their demand characteristics. Results in- dicate that opportunities for entry exist, especiallyfor products was packed in soy oil. The major sources for imported sar- dines are Norway, Peru, Portugal, Japan

62

California's electricity crisis  

E-Print Network [OSTI]

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

Joskow, Paul L.

2001-01-01T23:59:59.000Z

63

A scenario driven multiobjective Primary–Secondary Distribution System Expansion Planning algorithm in the presence of wholesale–retail market  

Science Journals Connector (OSTI)

This paper presents a novel approach for Integrated Generation and Primary–Secondary Distribution System Expansion Planning (IGDSEP) in the presence of wholesale and retail markets. The proposed method uses a model to explore the impacts of wholesale and retail market on IGDSEP procedure. This algorithm decomposes the IGDSEP problem into six subproblems to achieve an optimal expansion planning of a system, in which the investment and operational costs are minimized, while the reliability of the system is maximized. The proposed model of IGDSEP is a Mixed Integer Non Linear Programming (MINLP) problem and a Scenario Driven MINLP (SCMINLP) method is proposed for solving the problem. The algorithm was successfully tested for an urban distribution system.

Mehrdad Setayesh Nazar; Mahmood R. Haghifam; Mëhran Nažar

2012-01-01T23:59:59.000Z

64

Perturbation Analysis of the Wholesale Energy Market Equilibrium in the Presence of Renewables  

E-Print Network [OSTI]

One of the main challenges in the emerging smart grid is the integration of renewable energy resources (RER). The latter introduces both intermittency and uncertainty into the grid, both of which can affect the underlying energy market. An interesting concept that is being explored for mitigating the integration cost of RERs is Demand Response. Implemented as a time-varying electricity price in real-time, Demand Response has a direct impact on the underlying energy market as well. Beginning with an overall model of the major market participants together with the constraints of transmission and generation, we analyze the energy market in this paper and derive conditions for global maximum using standard KKT criteria. The effect of uncertainties in the RER on the market equilibrium is then quantified, with and without real-time pricing. Perturbation analysis methods are used to compare the equilibria in the nominal and perturbed markets. These markets are also analyzed using a game-theoretic point of view. Suff...

Kiani, Arman

2012-01-01T23:59:59.000Z

65

2012 National Electricity Forum  

Energy Savers [EERE]

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

66

Computing the Electricity Market Equilibrium: Uses of market equilibrium models  

E-Print Network [OSTI]

1 Computing the Electricity Market Equilibrium: Uses of market equilibrium models Ross Baldick Abstract--In this paper we consider the formulation and uses of electric- ity market equilibrium models. Keywords--Electricity market, Equilibrium models I. INTRODUCTION Electricity market equilibrium modelling

Baldick, Ross

67

Electricity Market and Policy | Electricity Markets and Policy  

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

Energy Analysis & Environmental Impacts Department Energy Analysis & Environmental Impacts Department The Electricity Markets and Policy Group conducts technical, economic, and policy analysis of energy topics centered on the U.S. electricity sector. Our current research seeks to inform public and private decision-making on public-interest issues related to energy efficiency and demand response, renewable energy, electricity resource and transmission planning, and electricity reliability. Demand Response & Smart Grid The Electricity Markets and Policy Group conducts public interest research on the smart grid and concepts, technologies and operating practices it enables from a market, policy, cost, benefit, and performance perspective. LEARN MORE... Electricity Reliability The reliability of the electric power system is critical to the economic

68

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

E-Print Network [OSTI]

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

Darghouth, Naim

2014-01-01T23:59:59.000Z

69

Energy markets Academic year 2014-2015  

E-Print Network [OSTI]

). Sells electrical energy through competition in wholesale market. Could compete also to sell ancillary in fully deregulated environment). Retailer: buys electrical energy on wholesale markets. ResellsEnergy markets Academic year 2014-2015 Damien Ernst ­ University of Li`ege Email: dernst

Ernst, Damien

70

Market Power in Electricity Markets: Beyond Concentration Measures  

E-Print Network [OSTI]

PWP-059r Market Power in Electricity Markets: Beyond Concentration Measures Severin Borenstein.ucei.berkeley.edu/ucei #12;PWP-059r Market Power in Electricity Markets: Beyond Concentration Measures Severin Borenstein, James Bushnell, and Christopher R. Knittel1 February 1999 Abstract The wave of electricity market

California at Berkeley. University of

71

TRANSMISSION EFFECTS IN MARKET POWER ANALYSIS OF ELECTRICITY MARKETS  

E-Print Network [OSTI]

TRANSMISSION EFFECTS IN MARKET POWER ANALYSIS OF ELECTRICITY MARKETS Thomas J. Overbye George Gross-weber@uiuc.edu Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana, IL 61801 ABSTRACT This paper discusses the assessment of market power in bulk electricity markets, with the explicit

Gross, George

72

Integrated Retail & Wholesale Power System Operation  

E-Print Network [OSTI]

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

Tesfatsion, Leigh

73

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

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

74

On the Dynamic Stability of Electricity Markets  

E-Print Network [OSTI]

issues affecting market stability. In particular, we establish a control-theoretical frame- work that uses concepts arising in electricity markets, dynamic games, and

2011-02-09T23:59:59.000Z

75

2009 Wind Technologies Market Report  

E-Print Network [OSTI]

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

Wiser, Ryan

2010-01-01T23:59:59.000Z

76

Bilateral Negotiation in a Multi-Agent Energy Market  

Science Journals Connector (OSTI)

Energy markets are systems for effecting the purchase and ... demand to set the price. A typical energy market involves a wholesale market for electricity generation, when competing generators offer ... electrici...

Fernando Lopes; A. Q. Novais; Helder Coelho

2009-01-01T23:59:59.000Z

77

Development of an Electric Energy Market Simulator  

Science Journals Connector (OSTI)

The paper outlines the development of an electricity market operation simulator (EMOS) that can be used by competing market participants as well as independent system operators and independent market operators su...

Atif Debs; Charles Hansen; Yu-Chi Wu

2001-01-01T23:59:59.000Z

78

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

79

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

2006-07-01T23:59:59.000Z

80

The wholesale natural gas market prospects in the Energy Community Treaty countries  

Science Journals Connector (OSTI)

The Treaty establishing the Energy Community in Southeastern (S.E.) Europe ... facilitate the creation of a common, competitive energy market in the region. However, the signatory ... this undertaking. This paper...

Fotios Thomaidis; Popi Konidari; Dimitrios Mavrakis

2008-05-01T23:59:59.000Z

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

Modeling of GE Appliances: Cost Benefit Study of Smart Appliances in Wholesale Energy, Frequency Regulation, and Spinning Reserve Markets  

SciTech Connect (OSTI)

This report is the second in a series of three reports describing the potential of GE’s DR-enabled appliances to provide benefits to the utility grid. The first report described the modeling methodology used to represent the GE appliances in the GridLAB-D simulation environment and the estimated potential for peak demand reduction at various deployment levels. The third report will explore the technical capability of aggregated group actions to positively impact grid stability, including frequency and voltage regulation and spinning reserves, and the impacts on distribution feeder voltage regulation, including mitigation of fluctuations caused by high penetration of photovoltaic distributed generation. In this report, a series of analytical methods were presented to estimate the potential cost benefit of smart appliances while utilizing demand response. Previous work estimated the potential technical benefit (i.e., peak reduction) of smart appliances, while this report focuses on the monetary value of that participation. The effects on wholesale energy cost and possible additional revenue available by participating in frequency regulation and spinning reserve markets were explored.

Fuller, Jason C.; Parker, Graham B.

2012-12-31T23:59:59.000Z

82

Wholesale Power Rate Schedules | Department of Energy  

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

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

83

Wholesale Power Rate Schedules | Department of Energy  

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

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

84

Wholesale Power Rate Schedules | Department of Energy  

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

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

85

Economic Consequences of Alternative Solution Methods for Centralized Unit Commitment in Day-Ahead Electricity Markets  

E-Print Network [OSTI]

commitment in competitive electricity markets,” Util. Pol. ,of market design,” in Electricity Market Reform: Anrestructured competitive electricity markets. and variable

Sioshansi, Ramteen; O'Neill, Richard; Oren, Shmuel S

2008-01-01T23:59:59.000Z

86

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

87

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

88

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

89

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

90

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

91

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

92

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

93

CSEM WP 124 Capacity Markets for Electricity  

E-Print Network [OSTI]

CSEM WP 124 Capacity Markets for Electricity Anna Creti, LEEERNA, University of Toulouse for Electricity Anna Creti LEEERNA, University of Toulouse Natalia Fabra Universidad Carlos III de Madrid February 2004 Abstract The creation of electricity markets has raised the fundamental question as to whether

California at Berkeley. University of

94

ISSN 1745-9648 Bulgarian Electricity Market  

E-Print Network [OSTI]

ISSN 1745-9648 Bulgarian Electricity Market Restructuring by Peter Ganev Institute for Market Economics, Bulgaria CCP Working Paper 08-8 Abstract: The electric power system of the Republic of Bulgaria is part of the united system of mainland Europe (UCTE) composed of the electric power systems of 23

Feigon, Brooke

95

Energy bidding strategies for restructured electricity market  

Science Journals Connector (OSTI)

Abstract Many countries around the world have changed the economics of their electricity markets from monopolies to oligopolies in an effort to increase competition. The restructured electricity markets have introduced risk and uncertainty into a sector of the economy that was traditionally state-owned. Suppliers and customers use financial methods to manage the risk from market prices. The maximization of profit for power companies is highly associated with the bidding strategies. In order to maximize the profit, participants need suitable bidding models. In an open access electricity market, the bidding problem is a complicated task because of producer’s uncertain behaviors and demand fluctuation. Therefore, developing bidding strategy is extremely important for electricity market participants to achieve the maximum profit. This paper analyses a comprehensive literature on the state of the art research of bidding strategies in restructured electric power market.

M. Prabavathi; R. Gnanadass

2015-01-01T23:59:59.000Z

96

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

E-Print Network [OSTI]

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

Joskow, Paul L.

2000-01-01T23:59:59.000Z

97

Uncertainties in the Value of Bill Savings from Behind-the-Meter, Residential Photovoltaic Systems: The Roles of Electricity Market Conditions, Retail Rate Design, and Net Metering  

E-Print Network [OSTI]

in wholesale energy markets. Progress in Photovoltaics:The Economics of Energy Market Transformation Programs. TheCalifornia's current energy market, for example, allows

Darghouth, Naim Richard

2013-01-01T23:59:59.000Z

98

AEOP2011:Electricity Generation Capacity by Electricity Market Module  

Open Energy Info (EERE)

AEOP2011:Electricity Generation Capacity by Electricity Market Module AEOP2011:Electricity Generation Capacity by Electricity Market Module Region and Source Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 97, and contains only the reference case. The dataset uses billion kilowatthours. The data is broken down into Texas regional entity, Florida reliability coordinating council, Midwest reliability council and Northeast power coordination council. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords AEO Electricity electricity market module region generation capacity Data application/vnd.ms-excel icon AEO2011: Electricity Generation Capacity by Electricity Market Module Region and Source- Reference Case (xls, 10.6 KiB)

99

The Market Value and Cost of Solar Photovoltaic Electricity Production  

E-Print Network [OSTI]

Investigation of Photovoltaic Cost Trends in California,”The Market Value and Cost of Solar Photovoltaic ElectricityThe Market Value and Cost of Solar Photovoltaic Electricity

Borenstein, Severin

2008-01-01T23:59:59.000Z

100

The political economy of electricity market liberalization  

E-Print Network [OSTI]

More than half of the countries in the world have introduced a reform process in their power sectors and billions of dollars have been spent on liberalizing electricity markets around the world. Ideological considerations, political composition...

Erdogdu, Erkan

2012-05-17T23:59:59.000Z

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

Stability of the market for electrical energy  

Science Journals Connector (OSTI)

The objective of this paper has been to develop a model of the demand and supply of electrical energy at the individual utility level. Using the model developed, the stability of the market was then investigated....

Noel D. Uri

1976-01-01T23:59:59.000Z

102

electricity market module region | OpenEI  

Open Energy Info (EERE)

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

103

Market Offering Strategies for Hydroelectric Generators  

Science Journals Connector (OSTI)

This paper considers the problem of offering electricity produced by a series of hydroelectric reservoirs to a pool-type central market. The market model is a simplified version of the New Zealand wholesale electricity market, with prices modelled by ... Keywords: Dynamic programming: finite state, markov, Natural resources: energy, water resources, Probability: markov processes

G. Pritchard; G. Zakeri

2003-07-01T23:59:59.000Z

104

Electric Power Market Simulations Using Individuals  

E-Print Network [OSTI]

Generation agents ­ Own and operate virtual power plants ­ Submit power bids to the independent system in the EMCAS model #12;3 Argonne Staff Act Out the Roles of Individual Agents in a Virtual Electric PowerElectric Power Market Simulations Using Individuals as Agents Guenter Conzelmann Argonne National

Kemner, Ken

105

AEO2011: Electricity Generation by Electricity Market Module Region and  

Open Energy Info (EERE)

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

106

Chapter 21 - Case Study: Demand-Response and Alternative Technologies in Electricity Markets  

Science Journals Connector (OSTI)

Abstract The PJM wholesale electricity market has evolved to promote open competition between existing generation resources, new generation resources, demand-response, and alternative technologies to supply services to support reliable power grid operations. PJM has adapted market rules and procedures to accommodate smaller alternative resources while maintaining and enhancing stringent reliability standards for grid operation. Although the supply resource mix has tended to be less operationally flexible, the development of smart grid technologies, breakthroughs in storage technologies, microgrid applications, distributed supply resources, and smart metering infrastructure have the potential to make power transmission, distribution, and consumption more flexible than in the past. Competitive market signals in forward capacity markets and grid service markets have resulted in substantial investment in demand-response and alternative technologies to provide reliability services to the grid operator. This chapter discusses these trends and the market mechanisms by which both system and market operators can manage and leverage these changes to maintain the reliability of the bulk electric power system.

Andrew Ott

2014-01-01T23:59:59.000Z

107

Electricity market deregulation and energy security: a study of the UK and Singapore electricity markets  

Science Journals Connector (OSTI)

This study seeks to examine whether deregulated electricity markets can provide energy security. Conceptualising energy security as that of having adequate, reliable and reasonably priced energy, this study proposes a set of indicators that can serve as an approximate gauge to determine whether a particular electricity market is robust enough to provide energy security. These chosen indicators are applied for both the UK and Singapore electricity markets in particular, and the outcomes provide evidence to believe that both markets are capable of providing energy security.

Youngho Chang; Jian Liang Lee

2008-01-01T23:59:59.000Z

108

Exemption from Wholesale Energy Transaction Tax (Montana)  

Broader source: Energy.gov [DOE]

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

109

Design analysis mechanisms for carbon auction market through electricity market coupling  

E-Print Network [OSTI]

Design analysis mechanisms for carbon auction market through electricity market coupling Mireille electricity produc- ers selling their production on an electricity market and buying CO2 emission al- lowances functions of the electricity production. We set out a clear Nash equilibrium on the power market that can

Paris-Sud XI, Université de

110

An Overview of the Operation of Ontario's Electricity Market  

E-Print Network [OSTI]

1 An Overview of the Operation of Ontario's Electricity Market H. Zareipour, Student Member, IEEE electricity market, which opened on May 1, 2002, consists of physical markets for energy and operat- ing reserves as well as a financial market for transmission rights, administered by the Independent Electricity

Cañizares, Claudio A.

111

A FRAMEWORK FOR ELECTRICITY MARKET MONITORING Teoman Gler  

E-Print Network [OSTI]

A FRAMEWORK FOR ELECTRICITY MARKET MONITORING Teoman GĂŒler University of Illinois at Urbana gross@uiuc.edu Abstract ­ The experiences to date with the im- plementation of electricity markets- structuring electricity. The market monitoring no- tions used in securities and commodity markets can

Gross, George

112

Electric Markets Technical Assistance Program: FY1999 Grant Descriptio...  

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

Markets Technical Assistance Program: FY1999 Grant Descriptions and Contact Information Electric Markets Technical Assistance Program: FY1999 Grant Descriptions and Contact...

113

A Two Stage Stochastic Equilibrium Model for Electricity Markets ...  

E-Print Network [OSTI]

ward market and power transaction in the electricity spot market. A stochastic equilibrium program with equilibrium constraints (SEPEC) model is proposed to ...

2008-12-12T23:59:59.000Z

114

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

Gasoline and Diesel Fuel Update (EIA)

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

115

Market and Policy Barriers for Demand Response Providing Ancillary Services in U.S. Markets  

E-Print Network [OSTI]

Wholesale Electricity Demand Response Program Comparison,J. (2009) Open Automated Demand Response Communicationsin Demand Response for Wholesale Ancillary Services.

Cappers, Peter

2014-01-01T23:59:59.000Z

116

Market Power in California Electricity Markets Severin Borenstein, James Bushnell, Edward Kahn, and  

E-Print Network [OSTI]

PWP-036 Market Power in California Electricity Markets Severin Borenstein, James Bushnell, Edward;Market Power in California Electricity Markets Severin Borenstein, James Bushnell, Edward Kahn and Steven Abstract As the electricity industry in California undergoes a process of fundamental restructuring

California at Berkeley. University of

117

Electric motors: Markets, trends, and applications  

SciTech Connect (OSTI)

Electric motors play an important role in nearly all sectors of the US economy. Typical motor applications range from air conditioning and appliances in the residential sector, to cooling and space heating in the commercial sector, to materials handling and processing in the industrial sectors. Motors in the residential sector consumed nearly 352 billion kilowatthours (BkWh) in 1985, in the commercial sector 279 BkWh, and the industrial sector 552 BkWh. Approximately 87% of electric motor electricity use in the industrial sector was consumed in manufacturing processes, while the process industries consumed more than half of the manufacturing sector's electric motor electricity use. The total motor population in all sectors in 1987 stood just shy of 1.02 billion, 90% of which are less than one horsepower (HP) in size. An increasing percentage of the motor population is comprised of high efficiency motors, as classified by the National Electrical Manufacturers Association (NEMA). High efficiency motors offer end-users greater energy and cost savings than do their standard efficiency counterparts. This report provides an overview of the history of the electric motor, a brief description of the electromechanical theory behind motor operations, and offers a statistical review of the size and distribution of the electric motor market. The report also presents data on sector motor electricity use, describes current and potential motor application opportunities, and details areas in which further research and development may be needed.

Not Available

1992-06-01T23:59:59.000Z

118

Open versus closed loop capacity equilibria in electricity markets ...  

E-Print Network [OSTI]

ity expansion problem in liberalized electricity markets. The first is an open loop equilibrium model, where generation companies simultaneously choose.

2012-05-06T23:59:59.000Z

119

Mergers in the GB Electricity Market: effects on Retail Charges  

E-Print Network [OSTI]

-efficiency as variables relating to price and profitability. The retail electricity market is a case in point, as highMergers in the GB Electricity Market: effects on Retail Charges N° 2006-08 Mai 2006 Evens SALIES OFCE hal-00972962,version1-3Apr2014 #12;Mergers in the GB Electricity Market: effects on Retail Charges

Paris-Sud XI, Université de

120

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network [OSTI]

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

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wholesale electricity markets" 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 difficult transition to competitive electricity markets in the U.S.  

E-Print Network [OSTI]

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

Joskow, Paul L.

2003-01-01T23:59:59.000Z

122

A Unifying Market Power Measure for Deregulated Transmission-Constrained Electricity Markets  

E-Print Network [OSTI]

markets, electricity cannot be stored cheaply; therefore generators have signif- icant short-run capacity1 A Unifying Market Power Measure for Deregulated Transmission-Constrained Electricity Markets, Member, IEEE, and Hamed Mohsenian-Rad, Senior Member, IEEE Abstract--Market power assessment is a prime

Mohsenian-Rad, Hamed

123

Charges, Costs and Market Power: the Deregulated UK Electricity Retail Market  

E-Print Network [OSTI]

of this paper, entitled Pricing Structures in the Deregulated UK Electricity Market. We are particularly for electricity, one of the basic utilities, on the date when the final price constraints were removed from1 Charges, Costs and Market Power: the Deregulated UK Electricity Retail Market Evens Salies

Boyer, Edmond

124

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

125

Estimating the Value of Electricity Storage Resources in Electricity  

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

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

126

Estimating the Value of Electricity Storage Resources in Electricity  

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

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

127

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

128

ANL Wind Power Forecasting and Electricity Markets | Open Energy  

Open Energy Info (EERE)

ANL Wind Power Forecasting and Electricity Markets ANL Wind Power Forecasting and Electricity Markets Jump to: navigation, search Logo: Wind Power Forecasting and Electricity Markets Name Wind Power Forecasting and Electricity Markets Agency/Company /Organization Argonne National Laboratory Partner Institute for Systems and Computer Engineering of Porto (INESC Porto) in Portugal, Midwest Independent System Operator and Horizon Wind Energy LLC, funded by U.S. Department of Energy Sector Energy Focus Area Wind Topics Pathways analysis, Technology characterizations Resource Type Software/modeling tools Website http://www.dis.anl.gov/project References Argonne National Laboratory: Wind Power Forecasting and Electricity Markets[1] Abstract To improve wind power forecasting and its use in power system and electricity market operations Argonne National Laboratory has assembled a team of experts in wind power forecasting, electricity market modeling, wind farm development, and power system operations.

129

Charges, Costs and Market Power in the Deregulated UK Electricity Retail Market  

E-Print Network [OSTI]

by competitive forces in unregulated residential energy markets. We assess the competitiveness of the market: Energy: Pricing, Market Power Acknowledgements: We are grateful for financial support from the EconomicCharges, Costs and Market Power in the Deregulated UK Electricity Retail Market by Evens Salies

Feigon, Brooke

130

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

131

Turkey opens electricity markets as demand grows  

SciTech Connect (OSTI)

Turkey's growing power market has attracted investors and project developers for over a decade, yet their plans have been dashed by unexpected political or financial crises or, worse, obstructed by a lengthy bureaucratic approval process. Now, with a more transparent retail electricity market, government regulators and investors are bullish on Turkey. Is Turkey ready to turn the power on? This report closely examine Turkey's plans to create a power infrastructure capable of providing the reliable electricity supplies necessary for sustained economic growth. It was compiled with on-the-ground research and extensive interview with key industrial and political figures. Today, hard coal and lignite account for 21% of Turkey's electricity generation and gas-fired plants account for 50%. The Alfin Elbistan-B lignite-fired plant has attracted criticism for its lack of desulfurization units and ash dam facilities that have tarnished the industry's image. A 1,100 MW hard-coal fired plant using supercritical technology is under construction. 9 figs., 1 tab.

McKeigue, J.; Da Cunha, A.; Severino, D. [Global Business Reports (United States)

2009-06-15T23:59:59.000Z

132

Assumptions to the Annual Energy Outlook 2002 - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2002, DOE/EIA- M068(2002) January 2002. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are

133

Assumptions to the Annual Energy Outlook 2001 - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2001, DOE/EIA- M068(2001) January 2001. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are

134

Ensuring Generation Adequacy in Competitive Electricity Markets  

E-Print Network [OSTI]

RESERVE OBLIGATIONS AND CAPACITY MARKETS The eastern poolsFormal or informal capacity markets that allow trading ofof capacity payments. The capacity markets prompted by the

Oren, Shmuel S.

2003-01-01T23:59:59.000Z

135

Developing a New Primer on the Nation's Electricity Markets | Department  

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

Developing a New Primer on the Nation's Electricity Markets Developing a New Primer on the Nation's Electricity Markets Developing a New Primer on the Nation's Electricity Markets June 25, 2013 - 4:13pm Addthis Developing a New Primer on the Nationñ€™s Electricity Markets How does it work? An electricity market operates very differently from other economic markets. Unlike durable goods, electrical energy cannot be stored in large quantities. It must be produced in real time to meet a constantly changing demand. Second, electric energy cannot be labeled with a UPC symbol-the electrons produced cannot be traced to their sources or tracked to their destination. Third, contracts cannot control power flows because power flows follow the laws of physics. You flip a switch and your light comes on. Sounds simple, right?

136

Developing a New Primer on the Nation's Electricity Markets | Department  

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

Developing a New Primer on the Nation's Electricity Markets Developing a New Primer on the Nation's Electricity Markets Developing a New Primer on the Nation's Electricity Markets June 25, 2013 - 4:13pm Addthis Developing a New Primer on the Nationñ€™s Electricity Markets How does it work? An electricity market operates very differently from other economic markets. Unlike durable goods, electrical energy cannot be stored in large quantities. It must be produced in real time to meet a constantly changing demand. Second, electric energy cannot be labeled with a UPC symbol-the electrons produced cannot be traced to their sources or tracked to their destination. Third, contracts cannot control power flows because power flows follow the laws of physics. You flip a switch and your light comes on. Sounds simple, right?

137

University of California Energy Institute The California Electricity Market  

E-Print Network [OSTI]

University of California Energy Institute The California Electricity Market: What a long strange trip it's been #12;University of California Energy Institute Market Organization in California · ISO an `imbalance' energy (spot) market · Power Exchange (PX) runs day ahead and hour ahead energy markets · Other

California at Berkeley. University of

138

Renewable Energy for Electricity Generation in Latin America: Market,  

Open Energy Info (EERE)

for Electricity Generation in Latin America: Market, for Electricity Generation in Latin America: Market, Technologies, and Outlook (Webinar) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Renewable Energy for Electricity Generation in Latin America: Market, Technologies, and Outlook (Webinar) Focus Area: Water power Topics: Market Analysis Website: www.leonardo-energy.org/webinar-renewable-energy-electricity-generatio Equivalent URI: cleanenergysolutions.org/content/renewable-energy-electricity-generati Language: English Policies: "Deployment Programs,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation This video teaches the viewer about the current status and future

139

Outline Introduction Literature Review Electric Power Supply Chains Empirical Examples Conclusions An Integrated Electric Power Supply Chain and Fuel  

E-Print Network [OSTI]

primary energy (Energy Information Administration (2000, 2005)) Deregulation Wholesale market Bilateral An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling with Empirical review An integrated electric power supply chain and fuel market network framework Empirical case study

Nagurney, Anna

140

Designing Market Rules for a Competitive Electricity Market Frank A. Wolak  

E-Print Network [OSTI]

1 Designing Market Rules for a Competitive Electricity Market by Frank A. Wolak Chairman, Market Surveillance Committee, California ISO University of California Energy Institute Department of Economics://www.stanford.edu/~wolak #12;2 Optimal form of re-structured industry is solution to a Market Design Problem Set the number

California at Berkeley. University of

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

Electric Markets Technical Assistance Program: FY1999 Grant Descriptions  

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

FY1999 Grant FY1999 Grant Descriptions and Contact Information Electric Markets Technical Assistance Program: FY1999 Grant Descriptions and Contact Information Public Benefits and Distributed Generation Outreach Project The National Association of Regulatory Utility Commissioners (NARUC) will hold collaborative workshops with key stakeholders to build consensus on effective policy options for emerging competitive distributed generation markets. FY1999 Grant Descriptions and Contact Information More Documents & Publications Electric Restructuring Outreach Activities and Information Dissemination to State Public Utility Regulators Electric Markets Technical Assistance Program: FY2001 Grant Descriptions and Contact Information Electric Markets Technical Assistance Program: FY2003 Grant Descriptions

142

Competition and Reliability in North American Electricity Markets...  

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

Blackout 2003: Electric System Working Group Technical Conference - Comments and Recommendations Competition and Reliability in North American Energy Markets: Issue Paper Synopses...

143

Benefits of Demand Response in Electricity Markets and Recommendations...  

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

Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them. A report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act...

144

Demand Response in U.S. Electricity Markets: Empirical Evidence  

E-Print Network [OSTI]

Reliability Corporation. Demand response data task force:Energy. Benefits of demand response in electricity marketsAssessment of demand response & advanced metering, staff

Cappers, Peter

2009-01-01T23:59:59.000Z

145

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

146

Equilibria on the Day-Ahead Electricity Market  

E-Print Network [OSTI]

Electricity Market. Margarida Carvalho. INESC Porto, Portugal. Faculdade de Ciências, Universidade do Porto, Portugal margarida.carvalho@dcc.fc.up.pt.

2012-09-08T23:59:59.000Z

147

Optimization Online - On the Dynamic Stability of Electricity Markets  

E-Print Network [OSTI]

Jan 31, 2011 ... On the Dynamic Stability of Electricity Markets. Victor M. Zavala (vzavala ***at*** mcs.anl.gov) Mihai Anitescu (anitescu ***at*** mcs.anl.gov).

Victor M. Zavala

2011-01-31T23:59:59.000Z

148

A Two Stage Stochastic Equilibrium Model for Electricity Markets ...  

E-Print Network [OSTI]

Feb 6, 2008 ... A Two Stage Stochastic Equilibrium Model for Electricity Markets with Two Way Contracts. Dali Zhang (zhangdl ***at*** soton.ac.uk) Huifu Xu ...

Dali Zhang

2008-02-06T23:59:59.000Z

149

Open versus closed loop capacity equilibria in electricity markets ...  

E-Print Network [OSTI]

May 7, 2012 ... Abstract: We consider two game-theoretic models of the generation capacity expansion problem in liberalized electricity markets. The first is an ...

S. Wogrin

2012-05-07T23:59:59.000Z

150

A Game-Theoretical Dynamic Model for Electricity Markets  

E-Print Network [OSTI]

Oct 6, 2010 ... Abstract: We present a game-theoretical dynamic model for competitive electricity markets.We demonstrate that the model can be used to ...

Aswin Kannan

2010-10-06T23:59:59.000Z

151

Fundamental Drivers of Pacific Northwest Power Markets  

E-Print Network [OSTI]

, utilities, power marketers, investors, and others on wholesale electricity and natural gas markets. Experts Load Transmission Thermal Hydro Wind (2005) #12;Natural Gas Capacity 6 5,000 MW of Natural Gas;Natural Gas Power Plant Production is Significantly Down 2010 to 2012 13 #12;Mid C Peak Heat Rates 14

152

Electricity Markets Analysis (EMA) Model | Open Energy Information  

Open Energy Info (EERE)

Electricity Markets Analysis (EMA) Model Electricity Markets Analysis (EMA) Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Electricity Markets Analysis (EMA) Model Agency/Company /Organization: Research Triangle Institute Sector: Energy Topics: Co-benefits assessment, - Energy Access, Market analysis Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Advanced Website: www.rti.org/page.cfm?objectid=DDC06637-7973-4B0F-AC46B3C69E09ADA9 RelatedTo: Applied Dynamic Analysis of the Global Economy (ADAGE) Model Electricity Markets Analysis (EMA) Model Screenshot References: Electricity Markets Analysis (EMA) Model[1]

153

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

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

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

154

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

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

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

155

EA-357 Hunt Electric Power Marketing, L.L.C. | Department of...  

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

7 Hunt Electric Power Marketing, L.L.C. EA-357 Hunt Electric Power Marketing, L.L.C. Order authorizing Hunt Electric Power Marketing, L.L.C. to export electric energy to Mexico...

156

EIA - Assumptions to the Annual Energy Outlook 2008 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2008 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2008, DOE/EIA-M068(2008). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

157

Demand Response in U.S. Electricity Markets: Empirical Evidence |  

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

in U.S. Electricity Markets: Empirical Evidence in U.S. Electricity Markets: Empirical Evidence Demand Response in U.S. Electricity Markets: Empirical Evidence The work described in this paper was funded by the Office of Electricity Delivery and Energy Reliability, Permitting, Siting and Analysis of the U.S. Department of Energy under contract No. DE-AC02-05CH11231. The authors are solely responsible for any omissions or errors contained herein. Demand Response in U.S. Electricity Markets: Empirical Evidence More Documents & Publications Demand Response National Trends: Implications for the West? Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them. A report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act of 2005 (February 2006)

158

Assumptions to the Annual Energy Outlook - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumption to the Annual Energy Outlook Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2004, DOE/EIA- M068(2004). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

159

Using Electricity Market Analytics to Reduce Cost and Environmental Impact  

Science Journals Connector (OSTI)

In recent years, energy consumption has become a major issue in terms of cost, infrastructure requirements and emissions. In deregulated markets electricity prices, renewable energy contribution and emissions can vary substantially from hour to hour. ... Keywords: Cloud Computation Pricing, Demand Response, Electricity Market Analytics, Emissions Reduction, Renewable Energy Facilitation

Conor Kelly; Antonio Ruzzelli; Eleni Mangina

2013-04-01T23:59:59.000Z

160

Benefits of Demand Response in Electricity Markets and Recommendations for  

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

Demand Response in Electricity Markets and Demand Response in Electricity Markets and Recommendations for Achieving Them. A report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act of 2005 (February 2006) Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them. A report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act of 2005 (February 2006) Most electricity customers see electricity rates that are based on average electricity costs and bear little relation to the true production costs of electricity as they vary over time. Demand response is a tariff or program established to motivate changes in electric use by end-use customers in response to changes in the price of electricity over time, or to give

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

Wind power forecasting in U.S. electricity markets.  

SciTech Connect (OSTI)

Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts.

Botterud, A.; Wang, J.; Miranda, V.; Bessa, R. J.; Decision and Information Sciences; INESC Porto

2010-04-01T23:59:59.000Z

162

Wind power forecasting in U.S. Electricity markets  

SciTech Connect (OSTI)

Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts. (author)

Botterud, Audun; Wang, Jianhui; Miranda, Vladimiro; Bessa, Ricardo J.

2010-04-15T23:59:59.000Z

163

The National Energy Modeling System: An Overview 1998 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

ELECTRICITY MARKET MODULE ELECTRICITY MARKET MODULE blueball.gif (205 bytes) Electricity Capacity Planning Submodule blueball.gif (205 bytes) Electricity Fuel Dispatch Submodule blueball.gif (205 bytes) Electricity Finance and Pricing Submodule blueball.gif (205 bytes) Load and Demand-Side Management Submodule blueball.gif (205 bytes) Emissions The electricity market module (EMM) represents the generation, transmission, and pricing of electricity, subject to: delivered prices for coal, petroleum products, and natural gas; the cost of centralized generation from renewable fuels; macroeconomic variables for costs of capital and domestic investment; and electricity load shapes and demand. The submodules consist of capacity planning, fuel dispatching, finance and pricing, and load and demand-side management (Figure 9). In addition,

164

EA-357-A Hunt Electric Power Marketing, L.L.C. | Department of...  

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

-A Hunt Electric Power Marketing, L.L.C. EA-357-A Hunt Electric Power Marketing, L.L.C. Order authorizing Hunt Electric to export electric energy to Mexico. EA-357-A Hunt Electric...

165

EIA model documentation: Electricity market module - electricity fuel dispatch  

SciTech Connect (OSTI)

This report documents the National Energy Modeling System Electricity Fuel Dispatch Submodule (EFD), a submodule of the Electricity Market Module (EMM) as it was used for EIA`s Annual Energy Outlook 1997. It replaces previous documentation dated March 1994 and subsequent yearly update revisions. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. This document serves four purposes. First, it is a reference document providing a detailed description of the model for reviewers and potential users of the EFD including energy experts at the Energy Information Administration (EIA), other Federal agencies, state energy agencies, private firms such as utilities and consulting firms, and non-profit groups such as consumer and environmental groups. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports. Third, it facilitates continuity in model development by providing documentation which details model enhancements that were undertaken for AE097 and since the previous documentation. Last, because the major use of the EFD is to develop forecasts, this documentation explains the calculations, major inputs and assumptions which were used to generate the AE097.

NONE

1997-01-01T23:59:59.000Z

166

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

167

Developing electricity forecast web tool for Kosovo market  

Science Journals Connector (OSTI)

In this paper is presented a web tool for electricity forecast for Kosovo market for the upcoming ten years. The input data i.e. electricity generation capacities, demand and consume are taken from the document "Kosovo Energy Strategy 2009-2018" compiled ... Keywords: .NET, database, electricity forecast, internet, simulation, web

Blerim Rexha; Arben Ahmeti; Lule Ahmedi; Vjollca Komoni

2011-02-01T23:59:59.000Z

168

ISSN 1745-9648 The Impact of Electricity Market Reform  

E-Print Network [OSTI]

ISSN 1745-9648 The Impact of Electricity Market Reform on Consumers by Catherine Waddams Price ESRC, University of East Anglia CCP Working Paper 08-7 Abstract: We examine the effect of current electricity, where household expenditure surveys and electricity tariffs are available, we analyse the effects

Feigon, Brooke

169

The market for wireless electricity: The case of India  

Science Journals Connector (OSTI)

A wireless revolution has transformed telecoms in India and in other emerging markets. The electricity market, on the other hand, remains underdeveloped. We define Wireless Electricity as renewable energy produced within a few hundred meters of the point of consumption. A wireless revolution in electricity would solve the problem of electricity deficit, empower people at the bottom of the pyramid and mitigate the environmental impact of bringing hundreds of millions out of poverty as the Indian economy grows. Renewables are technically proven and economically viable in certain situations, but their use remains peripheral. The stark difference in the diffusion patterns in telecoms and electricity has been ignored by leaders in government, business and academics. We present common frameworks to explain the different directions of reform in telecoms and electricity. We explain some of the dynamics which prevent the diffusion of Wireless Electricity. We use a causal loop diagram to explain the status quo in the off-grid electricity market and propose changes which will lead to the formation of a market for Wireless Electricity. India has the entrepreneurial talent to develop this market—and the largest number of potential customers. The world will benefit as a result.

Ashish Kumar; Ravi Shankar; Kiran Momaya; Sandeep Gupte

2010-01-01T23:59:59.000Z

170

Annual Energy Outlook with Projections to 2025-Market Trends - Electricity  

Gasoline and Diesel Fuel Update (EIA)

Electricity Electricity Index (click to jump links) Electricity Sales Electricity Generating Capacity Electricity Fuel Costs and Prices Nuclear Power Electricity from Renewable Sources Electricity Alternative Cases Electricity Sales Electricity Use Is Expected To Grow More Slowly Than GDP As generators and combined heat and power plants adjust to the evolving structure of the electricity market, they face slower growth in demand than in the past. Historically, demand for electricity has been related to economic growth; that positive relationship is expected to continue, but the ratio is uncertain. Figure 67. Population gross domestic product, and electricity sales, 1965-2025 (5-year moving average annual percent growth). Having problems, call our National Energy Information Center at 202-586-8800 for help.

171

Market Design Test Environments  

SciTech Connect (OSTI)

Power industry restructuring continues to evolve at multiple levels of system operations. At the bulk electricity level, several organizations charged with regional system operation are implementing versions of a Wholesale Power Market Platform (WPMP) in response to U.S. Federal Energy Regulatory Commission initiatives. Recently the Energy Policy Act of 2005 and several regional initiatives have been pressing the integration of demand response as a resource for system operations. These policy and regulatory pressures are driving the exploration of new market designs at the wholesale and retail levels. The complex interplay among structural conditions, market protocols, and learning behaviors in relation to short-term and longer-term market performance demand a flexible computational environment where designs can be tested and sensitivities to power system and market rule changes can be explored. This paper presents the use of agent-based computational methods in the study of electricity markets at the wholesale and retail levels, and distinctions in problem formulation between these levels.

Widergren, Steven E.; Sun, Junjie; Tesfatsion, Leigh

2006-06-18T23:59:59.000Z

172

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

173

A cross country analysis of electricity market reforms  

E-Print Network [OSTI]

econometric model based on Poisson regression with cross-section data covering 51 US states, 13 Canada states and 51 other countries. The results show that both the background of the chairperson of electricity market regulatory agency when reforms started...

Erdogdu, Erkan

2012-06-19T23:59:59.000Z

174

Market and Policy Barriers for Demand Response Providing Ancillary Services in U.S. Markets  

E-Print Network [OSTI]

Organized Wholesale Energy Markets. FERC (2011b) Order 755:co-optimization with the energy markets) of the marginalcompared to the wholesale energy markets in these ISO/RTOs.

Cappers, Peter

2014-01-01T23:59:59.000Z

175

Assumptions to the Annual Energy Outlook 2000 - Electricity Market Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. The major assumptions are summarized below.

176

Cap-and-Trade Modeling and Analysis: Congested Electricity Market Equilibrium  

E-Print Network [OSTI]

Electric Reliability Technology Solutions (CERTS) and by the Power Systems Engineering Researchsystems in electric power markets. Operations Research, 58 (

Limpaitoon, Tanachai

2012-01-01T23:59:59.000Z

177

Bonneville and West Coast Electric Markets  

Science Journals Connector (OSTI)

A critic of the Bonneville Power Administration is correct that BPA’s long-term role deserves prompt review. But there are many better alternatives than the market pricing that he proposes.

Jim Harding

2002-01-01T23:59:59.000Z

178

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

179

An electric thermal storage marketing feasibility study  

SciTech Connect (OSTI)

The author presents a study undertaken to determine the market potential of a cooling storage rebate program in the Orange and Rockland service territory. The study was also designed to provide insight into which customer groups are the most likely candidates for cool storage. The information gained from this study is useful for both long term demand side planning and in focusing efforts cost effectively on future cool storage marketing programs.

Onofry, R. (Orange and Rockland Utilities (US))

1987-01-01T23:59:59.000Z

180

Southeast European Regional Electricity Market Analysis | Open Energy  

Open Energy Info (EERE)

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

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

Randomized auction design for electricity markets between grids and microgrids  

Science Journals Connector (OSTI)

This work studies electricity markets between power grids and microgrids, an emerging paradigm of electric power generation and supply. It is among the first that addresses the economic challenges arising from such grid integration, and represents the ... Keywords: approximation algorithms, mechanism design, microgrids, power grid, unit commitment problem

Linquan Zhang; Zongpeng Li; Chuan Wu

2014-06-01T23:59:59.000Z

182

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

183

Electricity market reform in the European Union : review of progress towards liberalisation and integration  

E-Print Network [OSTI]

The energy market liberalisation process in Europe is increasingly focused on electricity market integration and related cross border issues. This signals that the liberalisation of national electricity markets is now ...

Jamasb, Tooraj

2005-01-01T23:59:59.000Z

184

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

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

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

185

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

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

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

186

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

187

International Assessment of Electric-Drive Vehicles: Policies, Markets, and Technologies  

E-Print Network [OSTI]

Assessmentof Electric-Drive Vehicles: Policies, Markets, andInternational Assessment Electric-Drive Vehicles: Policies,International Assessment Electric-Drive Vehicles Policies,

Sperling, Daniel; Lipman, Timothy

2003-01-01T23:59:59.000Z

188

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

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

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

189

Market Potential for Non-electric Applications of Nuclear Energy  

SciTech Connect (OSTI)

The paper presents results of a recent IAEA study to assess the market potential for non-electric applications of nuclear energy in the near (before 2020) and long term (2020-2050). The applications covered are district heating, desalination, industrial heat supply, ship propulsion, energy supply for spacecraft, and, to a lesser extent, 'innovative' applications such as hydrogen production, coal gasification, etc. While technical details are covered only briefly, emphasis is placed on economics and other factors that may promote or hinder the penetration of nuclear options in the markets for non-electric energy services. The study makes a distinction between the market size (demand for a given service) and the market potential for nuclear penetration (which may be smaller because of technical or non-technical constraints). Near-term nuclear prospects are assessed on the basis of on-going projects in the final stages of design or under construction. For the long term, use has been made of a qualitative scale ranging from 0 to 2 for five critical areas: market structure, demand pressure, technical basis, economic competitiveness, and public acceptance. The paper presents the resulting evaluation of long-term prospects for nuclear energy entering into non-electric markets. (authors)

Konishi, T.; Kononov, S.; Kupitz, J.; McDonald, A.; Rogner, H.H. [International Atomic Energy Agency (IAEA), Wagramer Strasse 5, Vienna (Austria); Nisan, S. [Commissariat a l'energie atomique (CEA), CEA/CEN Cadarache, F-13108 Saint Paul-lez-Durance (France)

2002-07-01T23:59:59.000Z

190

Wind power in electricity markets: key issues and challenges  

Science Journals Connector (OSTI)

Due to the large penetration and continuous improvement in the wind power technology, wind farms are asked to operate similar to the conventional power plants. In emerging electricity market, wind power generators are now seen differently and should sustain with/without limited government support. Although cost reductions due to technological improvements bring wind power in competitions to conventional fossil-fuel generation, but until now various incentives are required to overcome wind power's cost disadvantage and these incentives may play a significant role in improving the competitiveness of wind power. However, the use and trade of wind power in the market is complicated because of the lack of guarantees of generation, mainly in the wind farms. This paper discusses several key issues and challenges which can be faced by the wind power in the competitive power market. With suitable market mechanism, wind power can be helpful in mitigating the market abuse up to some extent.

B.S. Rajpurohit; S.N. Singh; Istvan Erlich

2008-01-01T23:59:59.000Z

191

Annual Energy Outlook with Projections to 2025 - Market Trends- Electricity  

Gasoline and Diesel Fuel Update (EIA)

Electricity Demand and Supply Electricity Demand and Supply Annual Energy Outlook 2005 Market Trends - Electricity Demand and Supply Continued Growth in Electricity Use Is Expected in All Sectors Figure 66. Annual electricity sales by sector, 1970-2025 (billion kilowatthours). Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure data Total electricity sales are projected to increase at an average annual rate of 1.9 percent in the AEO2005 reference case, from 3,481 billion kilowatthours in 2003 to 5,220 billion kilowatthours in 2025 (Figure 66). From 2003 to 2025, annual growth in electricity sales is projected to average 1.6 percent in the residential sector, 2.5 percent in the commercial sector, and 1.3 percent in the industrial sector.

192

The Restructuring and Privatisation of the Peruvian Electricity Distribution Market  

E-Print Network [OSTI]

, the biggest distribution company was initially private. After several decades of private electricity ownership it was nationalized in 1972. In the same year, Electroperu, a state-owned company, was created and had exclusive rights on national generation... for 100 per cent of the privatised distribution electricity market. The biggest distribution companies unbundled from Electrolima, Luz del Sur and Edelnor, operate in northern and southern Lima respectively. 2 Before 1972 a big number of private...

Anaya, K L

193

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

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

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

194

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

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

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

195

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

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

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

196

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

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

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

197

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

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

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

198

National Renewable Energy Laboratory Report Identifies Research Needed to Address Power Market Design Challenges  

Broader source: Energy.gov [DOE]

A new report by DOE's National Renewable Energy Laboratory identifies research opportunities to improve the ways in which wholesale electricity markets are designed, with a focus on how the characteristics of variable generation from wind and solar power can affect those markets.

199

Adaptive learning in agents behaviour: A framework for electricity markets simulation  

Science Journals Connector (OSTI)

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity ... Keywords: Adaptive Learning, Artificial Intelligence, Electricity Markets, Machine Learning, Multiagent Simulation

Tiago Pinto, Zita Vale, Tiago M. Sousa, Isabel Praça, Gabriel Santos, Hugo Morais

2014-10-01T23:59:59.000Z

200

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

Gasoline and Diesel Fuel Update (EIA)

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

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

Electricity Markets Meet the Home through Demand Response Lazaros Gkatzikis  

E-Print Network [OSTI]

Electricity Markets Meet the Home through Demand Response Lazaros Gkatzikis CERTH, University Hegde, Laurent MassouliÂŽe Technicolor Paris Research Lab Paris, France Abstract-- Demand response (DR the alternative option of dynamic demand adaptation. In this direction, demand response (DR) programs provide

202

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

203

Strategic bidding for wind power producers in electricity markets  

Science Journals Connector (OSTI)

Abstract In evolving electricity markets, wind power producers (WPPs) would increase their profit through strategic bidding. However, generated power by \\{WPPs\\} is highly random, which may result into heavy imbalance charges. In markets dominated by wind generators, they would optimize their offered bids, considering rival behavior. In oligopolistic day-ahead electricity markets, this strategic behavior can be represented as a Stochastic Cournot model. Wind uncertainty is represented by scenarios generated using Auto Regressive Moving Average (ARMA) model. With a consideration of wind power uncertainty and imbalance charges, strategic \\{WPPs\\} can maximize their expected payoff or profit through the proposed Nash equilibrium based bidding strategy. Nash equilibrium is obtained using payoff matrix approach. Proposed approach is evaluated on two realistic case studies considering different technical constraints. Obtained results shows that proposed bidding strategy mechanism offers quantum increase in profit for WPPs, when their behavior is modeled in a game theoretic framework. Flexibility of approach offers opportunities for its extension to associated challenges.

Kailash Chand Sharma; Rohit Bhakar; H.P. Tiwari

2014-01-01T23:59:59.000Z

204

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

E-Print Network [OSTI]

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

Phadke, Amol

2007-01-01T23:59:59.000Z

205

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

206

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

E-Print Network [OSTI]

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

Phadke, Amol

2007-01-01T23:59:59.000Z

207

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

E-Print Network [OSTI]

Direct Transmission (HVDC) lines. However, the inter-Madhya Pradesh Southern Region HVDC Total Capacity (MW)

Phadke, Amol

2007-01-01T23:59:59.000Z

208

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

209

Petroleum Marketing Monthly  

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

U.S. Refi ner wholesale petroleum product volumes U.S. Energy Information Administration | Petroleum Marketing Monthly 13 December 2014...

210

Sixth Northwest Conservation and Electric Power Plan Appendix J: The Regional Portfolio Model  

E-Print Network [OSTI]

............................................................................................................ 10 Capacity and Costs Related to Capacity ............................................................................................... 15 Variable Capacity ............................................................................................... 38 Exposure to Wholesale Power Markets

211

Project Information Form Project Title Structural Determinants of Electric Vehicle Market Growth  

E-Print Network [OSTI]

of Electric Vehicle Market Growth University UC Davis Principal Investigator---in electric vehicle (PEV) markets are facing and how they are likely to evolve--political, technological, economic, and societal--that drives the development, deployment and use

California at Davis, University of

212

Electric Market and Utility Operation Terminology (Fact Sheet), Solar Energy Technologies Program (SETP)  

Broader source: Energy.gov [DOE]

This fact sheet is a list of electric market and utility operation terminology for a series of three electricity fact sheets.

213

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

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

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

214

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

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

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

215

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

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

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

216

European Union legislation and the development of the electricity market in Slovenia  

Science Journals Connector (OSTI)

The article is based on the analysis of the circumstances, occurred during the electricity market opening in the Republic of Slovenia, as a consequence of implementation of the EU legislation in the energy field. The market operation, the role of the ... Keywords: electricity market, energy sector, legislation, the structure of the electricity price

Viljem Pozeb; Tina Krope; Darko Goricanec

2010-02-01T23:59:59.000Z

217

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 KĂą 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

218

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

219

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.

220

Agent-based simulation of electricity markets: a survey of tools  

Science Journals Connector (OSTI)

Agent-based simulation has been a popular technique in modeling and analyzing electricity markets in recent years. The main objective of this paper is to study existing agent-based simulation packages for electricity markets. We first provide an overview ... Keywords: Adaptation, Agent-based simulation, Artificial life, Electricity market, Swarm intelligence

Zhi Zhou; Wai Kin Chan; Joe H. Chow

2007-12-01T23:59:59.000Z

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

Fast Change Point Detection for Electricity Market Analysis  

SciTech Connect (OSTI)

Electricity is a vital part of our daily life; therefore it is important to avoid irregularities such as the California Electricity Crisis of 2000 and 2001. In this work, we seek to predict anomalies using advanced machine learning algorithms. These algorithms are effective, but computationally expensive, especially if we plan to apply them on hourly electricity market data covering a number of years. To address this challenge, we significantly accelerate the computation of the Gaussian Process (GP) for time series data. In the context of a Change Point Detection (CPD) algorithm, we reduce its computational complexity from O($n^{5}$) to O($n^{2}$). Our efficient algorithm makes it possible to compute the Change Points using the hourly price data from the California Electricity Crisis. By comparing the detected Change Points with known events, we show that the Change Point Detection algorithm is indeed effective in detecting signals preceding major events.

UC Berkeley; Gu, William; Choi, Jaesik; Gu, Ming; Simon, Horst; Wu, Kesheng

2013-08-25T23:59:59.000Z

222

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

223

Forecasting energy markets using support vector machines  

Science Journals Connector (OSTI)

Abstract In this paper we investigate the efficiency of a support vector machine (SVM)-based forecasting model for the next-day directional change of electricity prices. We first adjust the best autoregressive SVM model and then we enhance it with various related variables. The system is tested on the daily Phelix index of the German and Austrian control area of the European Energy Exchange (???) wholesale electricity market. The forecast accuracy we achieved is 76.12% over a 200 day period.

Theophilos Papadimitriou; Periklis Gogas; Efthimios Stathakis

2014-01-01T23:59:59.000Z

224

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

Gasoline and Diesel Fuel Update (EIA)

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

225

First Prev Next Last Go Back Full Screen Close Quit DYNAMICS OF ELECTRIC POWER SUPPLY  

E-Print Network [OSTI]

alone as of February 1, 2005, more than 1200 companies were eligible to sell wholesale power at market · The dramatic increase in the number of market participants - By the end of 2000, approximately 20% of all" (Secretary of Energy Advisory Board's (SEAB) Task Force on Electric System Reliability (1998)) #12;·First

Nagurney, Anna

226

GENCOs multiperiod expansion model in a competitive electricity market  

Science Journals Connector (OSTI)

Over the past two decades, several countries have restructured their electricity industry by significantly reducing the government's role in the ownership and management of energy sector. The generation sector was the first activity of the vertically integrated industry to be open for the competition and therefore, it presents the highest level of competitiveness and experience. In the new restructured electricity markets, the objective of each generation company (GENCO) is to maximise its total expected profit over a planning horizon while following the grid-code and system operators' directive for the safe operation of the power system. In the expansion plan of generating companies, the problem is to be reformulated incorporating several uncertainty factors such as demand growth, the volatility of market prices for electricity and fuels, delay in project completion, financial constraints, etc. In this paper, a long-term multi-period expansion model for a generation company operating in the deregulated electricity industry is presented. The effectiveness of the proposed approach is demonstrated on numerical examples.

Daniel Hernåndez-Gonzålez; Guillermo Gutiérrez-Alcaraz; S.N. Singh

2012-01-01T23:59:59.000Z

227

Minimizing Building Electricity Costs in a Dynamic Power Market: Algorithms and Impact on Energy Conservation  

E-Print Network [OSTI]

Minimizing Building Electricity Costs in a Dynamic Power Market: Algorithms and Impact on Energy of Computing, The Hong Kong Polytechnic University, Hong Kong, P. R. China 2 Department of Electrical and the electricity bills nowa- days are leading to unprecedented costs. Electricity price is market-based and dynamic

Wang, Dan

228

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

229

Electricity Transmission Congestion Costs: A Review of Recent Reports |  

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

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

230

A Cournot-Nash Equilibrium Analysis of the New Jersey Electricity Market  

E-Print Network [OSTI]

1 A Cournot-Nash Equilibrium Analysis of the New Jersey Electricity Market Severin Borenstein the results of a preliminary study that was performed in order to analyze the potential for market power market, rather than the broader PJM market. Limitations on transmission capacity, both outside

California at Berkeley. University of

231

ELECTR-5923; No of Pages 8 Please cite this article in press as: A. Sopinka,, British Columbia Electricity Supply Gap Strategy: A Redefinition of Self-sufficiency, Electr. J. (2013), http://dx.doi.org/10.1016/j.tej.2013.03.003  

E-Print Network [OSTI]

in Victoria, British Columbia. Dr. Sopinka worked for 10 years in the energy sector as both a market analyst auction that signaled the commencement of the deregulated wholesale electricity market in Alberta. She has mandate for self-sufficiency. In addition to the restrictions imposed by the Clean Energy Act

Pedersen, Tom

232

Demand Response in U.S. Electricity Markets: Empirical Evidence  

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

LBNL-2124E LBNL-2124E Demand Response in U.S. Electricity Markets: Empirical Evidence Principal Authors Peter Cappers a , Charles Goldman a , and David Kathan b a Lawrence Berkeley National Laboratory 1 Cyclotron Road, Berkeley, CA 94720 b Federal Energy Regulatory Commission, 888 First Street, NE, Washington, DC 20426, Energy Analysis Department Ernest Orlando Lawrence Berkeley National Laboratory 1 Cyclotron Road, MS 90R4000 Berkeley CA 94720-8136 Environmental Energy Technologies Division June 2009 http://eetd.lbl.gov/ea/EMS/EMS_pubs.html Pre-print version of the article to be published in Energy, forthcoming 2009. The work described in this paper was funded by the Office of Electricity Delivery and Energy Reliability, Permitting, Siting and Analysis of the U.S.

233

An agent-based approach to modeling electricity spot markets  

E-Print Network [OSTI]

(cont.) The model could also be used to analyze market factors (such as new market rules) and their effects on market price dynamics and market participants' behaviors, as well as to identify the "best" response action of ...

Visudhiphan, Poonsaeng, 1973-

2003-01-01T23:59:59.000Z

234

Cournot Equilibrium in Two-settlement Electricity Markets: Formulation and Computation  

E-Print Network [OSTI]

decades, many electricity sectors around the world have been undergoing a reform from a command-and-control industry to competitive markets. A major obstacle to a successful reform is locational market power

235

An agent-based model to study market penetration of plug-in hybrid electric vehicles  

E-Print Network [OSTI]

An agent-based model to study market penetration of plug-in hybrid electric vehicles Margaret J 2011 Available online 29 April 2011 Keywords: Plug-in hybrid electric vehicles Market penetration Agent-based models. A recent joint report by the Electric Power Research Institute (EPRI) and the Natural Resources

Vermont, University of

236

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 KĂą 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

237

The NordPool Market The spot and electricity forward relation  

E-Print Network [OSTI]

The NordPool Market The spot and electricity forward relation Spot price modelling HJM approach to forwards Conclusions Modelling and pricing in electricity markets Fred Espen Benth Work in collaboration and electricity forward relation Spot price modelling HJM approach to forwards Conclusions Overview

Pfeifer, Holger

238

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 Mšuller 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

239

Electricity Markets: Should the Rest of the World Adopt the UK Reforms?  

E-Print Network [OSTI]

PWP-069 Electricity Markets: Should the Rest of the World Adopt the UK Reforms? Catherine D;1 Electricity Markets: Should the Rest of the World Adopt the UK Reforms?1 By Catherine D. Wolfram2 Britain was one of the first countries to liberalize its electricity industry when it restructured and privatized

California at Berkeley. University of

240

The European Green Electricity Markets in 2010 Peter Meibom & Klaus Skytte  

E-Print Network [OSTI]

The European Green Electricity Markets in 2010 Peter Meibom & Klaus Skytte Systems Analysis policies differ among MS The EU Renewable Electricity Directive: · Indicative targets for EU (1997: 3-based demand for renewable electricity scenarios Market simulation Supply curves based on technology costs

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

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

242

Abstract--Many countries have deregulated their electricity markets, boosting competition and participation of private  

E-Print Network [OSTI]

and participation of private enterprises in generation. The recent electricity crises of Chile, California1 Abstract-- Many countries have deregulated their electricity markets, boosting competition was deficient. We conclude that a deregulated electricity market will not work properly in a scarcity situation

Catholic University of Chile (Universidad CatĂłlica de Chile)

243

Electricity Market Complex Adaptive System | Open Energy Information  

Open Energy Info (EERE)

Market Complex Adaptive System Market Complex Adaptive System Jump to: navigation, search Tool Summary Name: Electricity Market Complex Adaptive System Agency/Company /Organization: Argonne National Laboratory Sector: Energy Phase: Determine Baseline, Evaluate Options Topics: Pathways analysis Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.dis.anl.gov/projects/emcas.html Country: United States Cost: Paid Northern America Coordinates: 37.09024°, -95.712891° 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":37.09024,"lon":-95.712891,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

244

Illinois Municipal Electric Agency- Electric Efficiency Program  

Broader source: Energy.gov [DOE]

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

245

Capacity mechanisms for the long-term security of supply in electricity markets: an experimental study.  

E-Print Network [OSTI]

??At the first years of deregulation, the academic discussion was first oriented to discuss the short-term efficiency and competitiveness of the electricity markets. Now, after… (more)

Lara Arango, David

2013-01-01T23:59:59.000Z

246

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

E-Print Network [OSTI]

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

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

2010-01-01T23:59:59.000Z

247

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

E-Print Network [OSTI]

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

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

248

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

E-Print Network [OSTI]

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

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

249

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

E-Print Network [OSTI]

SolarAnywhere. CPUC, 2004. Capacity Markets White Paper (market with no parallel capacity markets. Under this kind ofcombined with a parallel capacity market). Finally, in order

Darghouth, Naim

2014-01-01T23:59:59.000Z

250

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

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

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

251

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

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2007 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2007, DOE/EIA- M068(2007). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

252

Analysis of the Iberian electricity forward market hedging efficiency  

Science Journals Connector (OSTI)

An assessment of the hedging performance in the Iberian forward electricity market is performed. Aggregated data from the Portuguese and Spanish clearing houses for energy derivatives are considered. The hedging performance is measured through a net position ratio obtained from the final open interest of a month derivatives contract divided by its accumulated cleared volume. The base load futures in the Iberian energy derivatives exchange show the lowest ratios due to good liquidity. The peak futures show bigger ratios as their reduced liquidity is produced by auctions fixed by Portuguese regulation. The base load swaps settled in the clearing house located in Spain show initially large values due to low registered volumes, as this clearing house is mainly used for short maturity (daily and weekly swaps). This ratio can be a powerful oversight tool for energy regulators when accessing to all the derivatives transactions as envisaged by European regulation.

Álvaro Capitån Herråiz; Carlos Rodríguez Monroy

2013-01-01T23:59:59.000Z

253

Unbundling generation and transmission services for competitive electricity markets  

SciTech Connect (OSTI)

Ancillary services are those functions performed by the equipment and people that generate, control, and transmit electricity in support of the basic services of generating capacity, energy supply, and power delivery. The Federal Energy Regulatory Commission (FERC) defined such services as those `necessary to support the transmission of electric power from seller to purchaser given the obligations of control areas and transmitting utilities within those control areas to maintain reliable operations of the interconnected transmission system.` The nationwide cost of ancillary services is about $12 billion a year, roughly 10% of the cost of the energy commodity. More important than the cost, however, is the necessity of these services for bulk-power reliability and for the support of commercial transactions. FERC`s landmark Order 888 included a pro forma tariff with provision for six key ancillary services. The Interconnected Operations Services Working Group identified another six services that it felt were essential to the operation of bulk-power systems. Several groups throughput the United States have created or are forming independent system operators, which will be responsible for reliability and commerce. To date, the electricity industry (including traditional vertically integrated utilities, distribution utilities, power markets and brokers, customers, and state and federal regulators) has paid insufficient attention to these services. Although the industry had made substantial progress in identifying and defining the key services, much remains to be doe to specify methods to measure the production, delivery, and consumption of these services; to identify the costs and cost-allocation factors for these services; and to develop market and operating rules for their provision and pricing. Developing metrics, determining costs, and setting pricing rules are important because most of these ancillary services are produced by the same pieces of equipment that produce the basic electricity commodity. Thus, the production of energy and ancillary services is highly interactive, sometimes complementary and sometimes competing. In contrast to today`s typical time-invariant, embedded-cost prices, competitive prices for ancillary services would vary with system loads and spot prices for energy.

Hirst, E.; Kirby, B.

1998-01-01T23:59:59.000Z

254

Electricity Monthly Update  

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

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

255

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

256

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

257

Capacity Constrained Supply Function Equilibrium Models of Electricity Markets: Stability, Non-  

E-Print Network [OSTI]

PWP-089 Capacity Constrained Supply Function Equilibrium Models of Electricity Markets: Stability of an electricity market where strategic firms have capacity constraints. We show that if firms have heterogeneous of California Energy Institute 2539 Channing Way Berkeley, California 94720-5180 www.ucei.org #12;Capacity

California at Berkeley. University of

258

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

259

Application to Export Electric Energy OE Docket No. EA-403 Frontera Marketing, LLC- Motion to Intervene of Electric Reliability Council of Texas, Inc (ERCOT)  

Broader source: Energy.gov [DOE]

ERCOT submits this motion to intervene in the referenced proceeding of Frontera Marketing application to export electric energy to Mexico.

260

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

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

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

262

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

263

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

Gasoline and Diesel Fuel Update (EIA)

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

264

Electricity Market Restructuring and Energy Contracts: A Critical Note on the EU Commission’s NEA Decision  

Science Journals Connector (OSTI)

As highlighted in the economic literature, contracts are crucial policy instruments to organize and manage restructured electricity markets. In the early 90’s, during the restructuring of the electricity market i...

Laura Onofri

2005-07-01T23:59:59.000Z

265

A methodology for analysis of the renewable electricity feed-in tariff markets  

Science Journals Connector (OSTI)

Abstract A feed-in tariff model has been enacted in most countries and is well accepted by the European Commission. In principle, the model offers long-term contracts to eligible renewable energy producers, typically based on guaranteed prices for fixed periods of time for electricity produced from renewable energy. This paper presents a methodology that has been developed for the feed-in tariff market approach, which should gradually help eligible producers become better prepared for market competition after long-term contracts expire. The central part of this methodology is the correction of the current guaranteed prices, based on the calculation of the cost-effectiveness ratio of the market model to the current feed-in tariff or non-market model. The common features of the designed market models are the market component, a combination of the guaranteed price with and without market indexing, and the sum of the reduced guaranteed price and the spot electricity price. The methodology has been applied to the current non-market model implemented under Croatian jurisdiction. In this case, seven different market models were designed, which are compared to the existing non-market model. The results of the cost-effectiveness ratio according to different types of renewable energy and market models for a certain period of time are given, described and used for the correction of the current guaranteed price. The first market model has been selected as the most appropriate to replace the existing non-market model in Croatia.

Vedran Uran; Slavko Krajcar

2013-01-01T23:59:59.000Z

266

Record of Categorical Exclusion (CX) Determination: Office of Electricity Delivery and Energy Reliability (OE): EA-384 NRG Power Marketing LLC  

Broader source: Energy.gov [DOE]

Record of Categorical Exclusion (CX) Determination, Office of Electricity Delivery and Energy Reliability (OE): Application from NRG Power Marketing LLC to export electric energy to Mexico.

267

Saving Opportunities in the Restructured Texas Electric Market  

E-Print Network [OSTI]

management. These and other methods of involving public and private entities in the restructured Texas market will be covered....

Smolen, P.; Fox, M.

268

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

2006-07-01T23:59:59.000Z

269

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

2005-11-01T23:59:59.000Z

270

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (TO APPEAR, 2014) 1 Electricity Market Forecasting  

E-Print Network [OSTI]

electricity prices is an important decision mak- ing tool for market participants [4]. Conventional to proactively relieve congestion [12]. At a larger geographical and time scale, electricity price analytics patterns, electricity prices exhibit cyclo-stationary motifs over time. More importantly and due

Giannakis, Georgios

271

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

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

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

272

Market power analysis in electricity markets using supply function equilibrium model  

Science Journals Connector (OSTI)

......market operator aggregates the supply and demand bid curves to determine market clearing prices as well as the corresponding supply and demand schedules. In our model, we do not consider the demand side bidding because the load is almost inelastic......

Tao Li; Mohammad Shahidehpour; Ali Keyhani

2004-10-01T23:59:59.000Z

273

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

274

Cap-and-Trade Modeling and Analysis: Congested Electricity Market Equilibrium.  

E-Print Network [OSTI]

??This dissertation presents an equilibrium framework for analyzing the impact of cap-and-trade regulation on transmission-constrained electricity market. The cap-and-trade regulation of greenhouse gas emissions has… (more)

Limpaitoon, Tanachai

2012-01-01T23:59:59.000Z

275

Economics, Competition, and Costs in the Resructuring of U.S. Electricity Markets  

Science Journals Connector (OSTI)

Many of the problems facing U.S. electricity markets stem from blatant disregard for the ... inefficient retail prices; anemic incentives to minimize costs; and lack of consumer choice and experience, occasionall...

John C. Hilke

2008-05-01T23:59:59.000Z

276

The operating schedule for battery energy storage companies in electricity market  

Science Journals Connector (OSTI)

This paper presents a series of operating schedules for Battery Energy Storage Companies (BESC) to provide peak ... shaving and spinning reserve services in the electricity markets under increasing wind penetrati...

Shengqi Zhang; Yateendra Mishra…

2013-12-01T23:59:59.000Z

277

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

E-Print Network [OSTI]

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

California at Berkeley. University of

278

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.

279

Chapter 8 - Advances in Market Management Solutions for Variable Energy Resources Integration  

Science Journals Connector (OSTI)

Abstract Integration of more and more Variable Energy Resources (VER) into the system has introduced new challenges to grid and market operations. This chapter first provides an overview of wholesale electricity markets and market management systems. The intermittent nature of VER’s increases the need for system ramping capability in real-time balancing market, and causes issues in long term market pricing and resource adequacy. Enhancements are being made in both market design and market analytical tools in terms of managing operational uncertainties introduced by VER integration. The rest of the chapter focuses on two areas of market enhancement. The first one is the idea to establish a ramp market in real-time balancing operation to create the right market incentives for resources to provide enough ramping energy to compensate VER volatility. The second topic is to manage short-term VER uncertainty by applying robust optimization to look-ahead unit commitment.

Xing Wang

2014-01-01T23:59:59.000Z

280

Changing the Electricity Customer Mentality, Under Energy Market Liberalisation Circumstances  

Science Journals Connector (OSTI)

Considering the present changes and the improvement of electricity supplier-customer relationship, the “shock” of changing mentality is a must, for the utility as well as for the electric energy consumers.

Laurentia Predescu; Oana Popescu

2001-01-01T23:59:59.000Z

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


281

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

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

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

282

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

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

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

283

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

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

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

284

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

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

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

285

Vertical Integration in Restructured Electricity Markets: Measuring Market Efficiency and Firm Conduct  

E-Print Network [OSTI]

Power, Easton Utilities, UGI Development, Allegheny ElectricPower, Easton Utilities, UGI Development, Edison ( Homer

Mansur, Erin T.

2003-01-01T23:59:59.000Z

286

EXPERIMENTAL TESTS OF COMPETITIVE MARKETS FOR ELECTRIC POWER Simon Ede, Timothy Mount, William Schulze, Robert Thomas, Ray Zimmerman  

E-Print Network [OSTI]

when there are capacity shortfalls, and the following four market structures: 1. Load is responsiveCSMAE06 EXPERIMENTAL TESTS OF COMPETITIVE MARKETS FOR ELECTRIC POWER Simon Ede, Timothy Mount@cornell.edu, rjt1@cornell.edu, rz10@cornell.edu Abstract Testing the performance of electricity markets

287

Optimal Contract for Wind Power in Day-Ahead Electricity Markets  

E-Print Network [OSTI]

Optimal Contract for Wind Power in Day-Ahead Electricity Markets Desmond W. H. Cai1 Sachin Adlakha2 integration in current electric power systems. In this work, we study how a wind power producer can bid wind power producer will produce as much as wind power is available (up to its contract size). 1

Adlakha, Sachin

288

Long-Run Equilibrium Modeling of Emissions Allowance Allocation Systems in Electric Power Markets  

Science Journals Connector (OSTI)

Carbon dioxide allowance trading systems for electricity generators are in place in the European Union and in several U.S. states. An important question in the design of such systems is how allowances are to be initially allocated: by auction, by giving ... Keywords: Equilibrium programming, economics, electricity and emissions markets, model properties and applications

Jinye Zhao; Benjamin F. Hobbs; Jong-Shi Pang

2010-05-01T23:59:59.000Z

289

Long-Term Security of Supply Assessment under Open Electricity Market - Energy Policy Impacts in Slovenia  

Science Journals Connector (OSTI)

Following the steady demand growth and diminishing generation capacity margin due to lack of generation investment, Slovenia is already importing almost a quarter of electricity needed to cover its demand. Coupled with the deregulated electricity market ... Keywords: security of supply, optimal policy measures, energy balance, ELMASplus, generation expansion planning

Iztok Zlatar; Borut Kozan; Andrej F. Gubina

2008-11-01T23:59:59.000Z

290

Bulk Power System Dynamics and Control -VI, August 22-27, 2004, Cortina d'Ampezzo, Italy Transmission Investment in Competitive Electricity Markets  

E-Print Network [OSTI]

Transmission Investment in Competitive Electricity Markets Javier Contreras George Gross E.T.S. de Ingenieros

Gross, George

292

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

E-Print Network [OSTI]

entail higher electricity costs than in the reference case,which yields lower electricity purchase costs for utilitiesand renewable electricity generation costs. This proportion

Darghouth, Naim

2014-01-01T23:59:59.000Z

293

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

E-Print Network [OSTI]

USA. CEC, 2012. Electricity Consumption by Planning http://beyond their electricity consumption within each hour. Overwith significant electricity consumption. The variation in

Darghouth, Naim

2014-01-01T23:59:59.000Z

294

Market-based Investment in Electricity Transmission Networks: Controllable Flow  

E-Print Network [OSTI]

in new lines, rather than small-scale network upgrades. Whereas market-based transmission investment may mitigate the problem of under- investment, it is unlikely to suffice alone and thus regulated projects by the designated transmission system... aims at transmission of bulk power to be less than small-scale AC network deepening projects; even if these AC projetcs are small scale, they may be large compared to the size of their market. The DC-interconnector projects in the USA are typically...

Brunekreeft, Gert

2004-06-16T23:59:59.000Z

295

Role of CCTs in the evolving domestic electricity market  

SciTech Connect (OSTI)

The paper summarizes the key points and issues in the role of clean coal technologies in the domestic marketplace. Then suggested solutions to bringing precommercial CCTs to the market are presented. Finally, the outlook for possible actions by government and the private sector are briefly discussed.

Grahame, T.J. [Dept. of Energy, Washington, DC (United States). Office of Coal and Power Systems

1997-12-31T23:59:59.000Z

296

Hybrid & electric vehicle technology and its market feasibility ; Hybrid and electric vehicle technology and its market feasibility ; HEV technology and its market feasibility ; PHEV technology and its market feasibility ; EV technology and its market feasibility .  

E-Print Network [OSTI]

??In this thesis, Hybrid Electric Vehicles (HEV), Plug-In Hybrid Electric Vehicle (PHEV) and Electric Vehicle (EV) technology and their sales forecasts are discussed. First, the… (more)

Jeon, Sang Yeob

2010-01-01T23:59:59.000Z

297

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

298

Managing Total Corporate Electricity/Energy Market Risks  

Science Journals Connector (OSTI)

This paper starts with a short history of the use of value-at-risk techniques in financial risk management. The specific and often unique risk management challenges faced by electricity companies are then desc...

Alex Henney; Greg Keers

2000-01-01T23:59:59.000Z

299

Market Power and Technological Bias: The Case of Electricity Generation  

E-Print Network [OSTI]

, the intermittent nature of output from wind turbines and solar panels is frequently discussed as a potential obstacle to larger scale application of these tech- nologies. Contributions of 10-20% of electrical energy from individual intermittent technologies create... , Cambridge CB3 9DE, UK, Tel: ++ 44 1223 335200, paul.twomey@econ.cam.ac.uk, karsten.neuhoff@econ.cam.ac.uk. 1 1 Introduction Renewable energy technologies are playing an increasingly important role in the portfolio mix of electricity generation. However...

Twomey, Paul; Neuhoff, Karsten

2006-03-14T23:59:59.000Z

300

NextEra Energy Power Marketing LLC | Open Energy Information  

Open Energy Info (EERE)

Yes Activity Buying Transmission Yes Activity Buying Distribution Yes Activity Wholesale Marketing Yes This article is a stub. You can help OpenEI by expanding it. Utility...

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

The Romanian Energy System Structure and its Impact on the Electricity Spot Market  

Science Journals Connector (OSTI)

Abstract The international economic literature offers a significant number of publications approaching the European energy markets functioning, including comparative studies. The development and performances of the Romanian electricity spot market were less investigated, mainly because of the relatively short period of its functioning. The paper quantifies the impact of the electricity generation utilities’ structure by primary energy resources, on bidding prices resulted after the closure of the day ahead market. The multidimensional regression method was utilized for the models development. As a result, three distinct econometric models were obtained for different hourly periods of the day (off peak hours, peak hours, daily average) for working days and other three models for the weekend days. Based on these models, negative and positive correlations were established between the electricity prices and the seasonal contribution of the different categories of energy facilities to the demand curve coverage.

Mateescu Mihaela; Marina B?dileanu

2014-01-01T23:59:59.000Z

302

Deregulating UK Gas and Electricity Markets: How is Competition Working for  

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

Deregulating UK Gas and Electricity Markets: How is Competition Working for Deregulating UK Gas and Electricity Markets: How is Competition Working for Residential Consumers? Speaker(s): Catherine Waddams Date: April 15, 2003 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Chris Marnay Retail gas and electricity prices were deregulated in the UK in April 2002, following introduction of retail choice for residential consumers between 1996 and 1999. We use information from consumer surveys, including a panel survey over three years, to analyse consumer attitudes and behaviour. In particular we explore how awareness changed, whether those who were actively considering switching in one wave of the survey had actually done so by the next round, whether individuals become willing to switch for smaller price gains as the markets matured, and how expectations

303

Renewable energy sources in the Egyptian electricity market: A review  

Science Journals Connector (OSTI)

This review paper presents an appraisal of renewable energy RE options in Egypt. An appraisal review of different \\{REs\\} is presented. The study shows that electric energy produced from \\{REs\\} in Egypt are very poor compared with other energy sources. The utilization of the renewable energies can also be a good opportunity to fight the desertification and dryness in Egypt which is about 60% of Egypt territory. The rapid growth of energy production and consumption is strongly affecting and being affected by the Egyptian economy in many aspects. It is evident that energy will continue to play an important role in the development of Egypt's economy in coming years. The total installed electricity generating capacity had reached around 22025 MW with a generating capacity reached 22605 MW at the end of 2007. Hydropower and coal has no significant potential increase. During the period 1981/82–2004/05 electricity generation has increased by 500% from nearly 22 TWh for the year 1981/1982 to 108.4 TWh in the year 2004/2005 at an average annual growth rate of 6.9%. Consequently, oil and gas consumed by the electricity sector has jumped during the same period from around 3.7 MTOE to nearly 21 MTOE. The planned installed capacity for the year 2011/2012 is 28813 MW and the required fuel (oil and gas) for the electricity sector is estimated to reach about 29 MTOE by the same year. The renewable energy strategy targets to supply 3% of the electricity production from renewable resources by the year 2010. Electrical Coverage Electrical energy has been provided for around 99.3% of Egypt's population, representing a positive sign for the welfare of the Egyptian citizen due to electricity relation to all development components in all walks of life. The article discusses perspectives of wind energy in Egypt with projections to generate ? 3.5 GWe by 2022, representing ?9% of the total installed power at that time (40.2 GW). Total renewables (hydro + wind + solar) are expected to provide ?7.4 GWe by 2022 representing ? 19% of the total installed power. Such a share would reduce dependence on depleting oil and gas resources, and hence improve country's sustainable development.

A. Ibrahim

2012-01-01T23:59:59.000Z

304

Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response  

Science Journals Connector (OSTI)

Abstract The high penetration of both Distributed Energy Resources (DER) and Demand Response (DR) in modern power systems requires a sequence of advanced strategies and technologies for maintaining system reliability and flexibility. Real-time electricity markets (RTM) are the non-discriminatory transaction platforms for providing necessary balancing services, where the market clearing (nodal or zonal prices depending on markets) is very close to real time operations of power systems. One of the primary functions of \\{RTMs\\} in modern power systems is establishing an efficient and effective mechanism for small DER and DR to participate in balancing market transactions, while handling their meteorological or intermittent characteristics, facilitating asset utilization, and stimulating their active responses. Consequently, \\{RTMs\\} are dedicated to maintaining the flexibility and reliability of power systems. This paper reviews advanced typical \\{RTMs\\} respectively in the North America, Australia and Europe, focusing on their market architectures and incentive policies for integrating DER and DR in electricity markets. In this paper, \\{RTMs\\} are classified into three groups: Group I applies nodal prices implemented by optimal power flow, which clears energy prices every 5 min. Group II applies zonal prices, with the time resolution of 5-min. Group III is a general balancing market, which clears zonal prices intro-hourly. The various successful advanced RTM experiences have been summarized and discussed, which provides a technical overview of the present \\{RTMs\\} integrating DER and DR.

Qi Wang; Chunyu Zhang; Yi Ding; George Xydis; Jianhui Wang; Jacob Űstergaard

2015-01-01T23:59:59.000Z

305

EXPERIMENTAL TESTS OF DEREGULATED MARKETS FOR ELECTRIC POWER: MARKET POWER AND SELF COMMITMENT  

E-Print Network [OSTI]

, such as the market for heating oil. In some circumstances, one generator may, in effect, be a perfect monopolist delivers reliable power to customers in an economically efficient way. Prices, in particular, have been are not perfect substitutes for supplying load at a particular location. Competitive prices may vary spatially

306

Identification of Market Power in Large-Scale Electric Energy Markets Bernard C. Lesieutre  

E-Print Network [OSTI]

identify market power such as the HHI, pivotal supplier index, and residual supplier index (RSI)[6] when applied to the entire network do not completely address the issue of load pockets.(See [7 and sometimes are applied to smaller portions of the network. For example, in [5] the HHI index is applied

307

\\{HEMSs\\} and enabled demand response in electricity market: An overview  

Science Journals Connector (OSTI)

Abstract Traditional electricity grid offers demand side management (DSM) programs for industrial plants and commercial buildings; there is no such program for residential consumers because of the lack of effective automation tools and efficient information and communication technologies (ICTs). Smart Grid is, by definition, equipped with modern automation tools such as home energy management system (HEMS), and ICTs. HEMS is an intelligent system that performs planning, monitoring and control functions of the energy utilization within premises. It is intended to offer desirable demand response according to system conditions and price value signaled by the utility. HEMS enables smart appliances to counter demand response programs according to the comfort level and priority set by the consumer. Demand response can play a key role to ensure sustainable and reliable electricity supply by reducing future generation cost, electricity prices, CO2 emission and electricity consumption at peak times. This paper focuses on the review of \\{HEMSs\\} and enabled demand response (DR) programs in various scenarios as well as incorporates various DR architectures and models employed in the smart grid. A comprehensive case study along with simulations and numerical analysis has also been presented.

Aftab Ahmed Khan; Sohail Razzaq; Asadullah Khan; Fatima Khursheed; Owais

2015-01-01T23:59:59.000Z

308

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

309

Ownership Unbuilding in Electricity Markets - A Social Cost Benefit Analysis of the German TSO'S  

E-Print Network [OSTI]

OWNERSHIP UNBUNDLING IN ELECTRICITY MARKETS - A SOCIAL COST BENEFIT ANALYSIS OF THE GERMAN TSO’S Gert Brunekreeft1 Jacobs University Bremen Campus Ring 1 D-28759 Bremen Germany Email: g.brunekreeft@jacobs-university.de Version 2, August 11... , 2008 Abstract: This paper presents a social cost benefit analysis of ownership unbundling (as compared to legal und functional unbundling) of the electricity transmission system operators in Germany. The study relies on the Residual Supply Index...

Brunekreeft, Gert

310

Solar thermal power plants for the Spanish electricity market  

Science Journals Connector (OSTI)

Solar thermal power plants are at present the cheapest technology for solar electricity production. At good sites Levelised Electricity Costs (LEC) of 11 Ct/kWh have been achieved in commercially operated power plants. Economy of scale and further technical improvements will reduce the LEC for future projects. On the 27th of March 2004 in Spain the existing feed-in-law has been modified in order to support the erection of solar thermal power plants and thus make use of the huge solar potential of Spain. A payment of approx. 21 Ct/kWh, guaranteed for the first 25 years of operation, makes the erection and operation of solar thermal power plants very profitable for possible investors on the Spanish peninsula. This paper will present the present situation in Spain and the planned power plant projects. For one specific project the set-up is presented in more detail.

M. Eck; F. Rueda; S. Kronshage; C. Schillings; F. Trieb; E. Zarza

2007-01-01T23:59:59.000Z

311

Quantifying the value of hydropower in the electric grid : role of hydropower in existing markets.  

SciTech Connect (OSTI)

The electrical power industry is facing the prospect of integrating a significant addition of variable generation technologies in the next several decades, primarily from wind and solar facilities. Overall, transmission and generation reserve levels are decreasing and power system infrastructure in general is aging. To maintain grid reliability modernization and expansion of the power system as well as more optimized use of existing resources will be required. Conventional and pumped storage hydroelectric facilities can provide an increasingly significant contribution to power system reliability by providing energy, capacity and other ancillary services. However, the potential role of hydroelectric power will be affected by another transition that the industry currently experiences - the evolution and expansion of electricity markets. This evolution to market-based acquisition of generation resources and grid management is taking place in a heterogeneous manner. Some North American regions are moving toward full-featured markets while other regions operate without formal markets. Yet other U.S. regions are partially evolved. This report examines the current structure of electric industry acquisition of energy and ancillary services in different regions organized along different structures, reports on the current role of hydroelectric facilities in various regions, and attempts to identify features of market and scheduling areas that either promote or thwart the increased role that hydroelectric power can play in the future. This report is part of a larger effort led by the Electric Power Research Institute with purpose of examining the potential for hydroelectric facilities to play a greater role in balancing the grid in an era of greater penetration of variable renewable energy technologies. Other topics that will be addressed in this larger effort include industry case studies of specific conventional and hydro-electric facilities, systemic operating constraints on hydro-electric resources, and production cost simulations aimed at quantifying the increased role of hydro.

Loose, Verne W.

2011-01-01T23:59:59.000Z

312

Status of the U.S. Market for Green Power Glenn Reed, XENERGYInc.  

E-Print Network [OSTI]

by the price differential between the default service price relative to wholesale market prices. Introduction power markets is the default service price relative to the wholesale market prices. The differenceStatus of the U.S. Market for Green Power Glenn Reed, XENERGYInc. Ashley H. Houston, XENERGY Inc

313

Computing Cournot Equilibria in Two Settlement Electricity Markets with Transmission Constraints1  

E-Print Network [OSTI]

-restructured markets are being incorporated in market reforms and new market designs. While there are significant

Oren, Shmuel S.

314

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

315

Benefits and Challenges of Achieving a Mainstream Market for Electric Vehicles  

SciTech Connect (OSTI)

The Plug-in Hybrid electric Vehicle (PHEV) Market Introduction Study Final Report identified a range of policies, incentives and regulations designed to enhance the probability of success in commercializing PHEVs as they enter the automotive marketplace starting in 2010. The objective of the comprehensive PHEV Value Proposition study, which encompasses the PHEV Market Introduction Study, is to better understand the value proposition that PHEVs (as well as other plug-in electric vehicle platforms - PEVs) provide to the auto companies themselves, to the consumer and to the public at large as represented by the government and its public policies. In this report we use the more inclusive term PEVs, to include PHEVs, BEVs (battery electric vehicles that operate only on battery) and EREVs (extended range electric vehicles that combine battery electric vehicles with an internal combustion engine that charges the battery as needed). The objective of Taratec's contribution to Phase 2 of the PHEV Value Proposition Study is to develop a clear understanding of the benefits of PEVs to three stakeholders - auto original equipment manufacturers (OEMs), utilities, and the government - and of the technical and commercial challenges and risks to be overcome in order to achieve commercial success for these vehicles. The goal is to understand the technical and commercial challenges in moving from the 'early adopters' at the point of market introduction of these vehicles to a 'sustainable' mainstream market in which PEVs and other PEVs represent a normal, commercially available and attractive vehicle to the mainstream consumer. For the purpose of this study, that sustainable market is assumed to be in place in the 2030 timeframe. The principal focus of the study is to better understand the technical and commercial challenges in the transition from early adopters to a sustainable mainstream consumer market. Effectively, that translates to understanding the challenges to be overcome during the transition period - basically the middle years as the second and third generation of these vehicles are developed and come to market. The concern is to understand those things that in the near term would delay that transition. The study looked at identifying and then quantifying these technical and commercial risks and benefits from three perspectives: (1) The auto industry original equipment manufacturers (OEMs) themselves; (2) The utilities who will provide the electric 'fuel' that will fully or partially power the vehicles; and (3) The government, representing public policy interest in PEV success. By clarifying and quantifying these benefits and the technical and commercial risks that could delay the transition to a sustainable mainstream market, the study provides the basis for developing recommendations for government policies and support for PHEV and PEV development.

Ungar, Edward [Taratec Corporation; Mueller, Howard [Taratec Corporation; Smith, Brett [Center for Automotive Research

2010-08-01T23:59:59.000Z

316

Risk-Based Strategies for Wind/Pumped-Hydro Coordination under Electricity Markets  

E-Print Network [OSTI]

be reduced by coupling the wind farm with energy storage facilities, thus constituting a virtual power plant--Decision-Making, Risk, Virtual Power Plant Operation, Wind Power, Pumped-Hydro, Electricity Markets, Wind Power is not the case of power producers using non-dispatchable RES units (e.g.: wind or solar plants). As a consequence

Boyer, Edmond

317

CONGESTION IN THE ISO-NE ELECTRICITY MARKETS ANNA BARBARA IHRIG  

E-Print Network [OSTI]

CONGESTION IN THE ISO-NE ELECTRICITY MARKETS BY ANNA BARBARA IHRIG THESIS Advisor: Prof. George Gross Submitted in partial fulfillment of the requirements for the degree of "Diplom-Wirtschaftsingenieur, technische Fachrichtung Elektrotechnik" at Darmstadt University of Technology, Germany. G. Gross Thesis

Gross, George

318

Next-generation building energy management systems and implications for electricity markets.  

SciTech Connect (OSTI)

The U.S. national electric grid is facing significant changes due to aggressive federal and state targets to decrease emissions while improving grid efficiency and reliability. Additional challenges include supply/demand imbalances, transmission constraints, and aging infrastructure. A significant number of technologies are emerging under this environment including renewable generation, distributed storage, and energy management systems. In this paper, we claim that predictive energy management systems can play a significant role in achieving federal and state targets. These systems can merge sensor data and predictive statistical models, thereby allowing for a more proactive modulation of building energy usage as external weather and market signals change. A key observation is that these predictive capabilities, coupled with the fast responsiveness of air handling units and storage devices, can enable participation in several markets such as the day-ahead and real-time pricing markets, demand and reserves markets, and ancillary services markets. Participation in these markets has implications for both market prices and reliability and can help balance the integration of intermittent renewable resources. In addition, these emerging predictive energy management systems are inexpensive and easy to deploy, allowing for broad building participation in utility centric programs.

Zavala, V. M.; Thomas, C.; Zimmerman, M.; Ott, A. (Mathematics and Computer Science); (Citizens Utility Board); (BuildingIQ Pty Ltd, Australia); (PJM Interconnection LLC)

2011-08-11T23:59:59.000Z

319

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

Wind Powering America (EERE)

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

320

ENMAX Energy Marketing Inc. Order No. EA-264 I. BACKGROUND  

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

ENMAX Energy Marketing Inc. ENMAX Energy Marketing Inc. Order No. EA-264 I. BACKGROUND Exports of electricity from the United States to a foreign country are regulated and require authorization under section 202(e) of the Federal Power Act (FPA) (16 U.S.C. §824a(e)). On February 20, 2002, the Office of Fossil Energy (FE) of the Department of Energy (DOE) received an application from ENMAX Energy Marketing, Inc. (ENMAX) to transmit electric energy from the United States to Canada. ENMAX is an Alberta corporation having its principal place of business at Calgary, Alberta, Canada. ENMAX is a power marketer and is a wholly-owned subsidiary of ENMAX Energy Corporation, which in turn is a wholly owned subsidiary of ENMAX Corporation. ENMAX currently participates in the wholesale trading of

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

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

E-Print Network [OSTI]

schemes on power prices: The case of wind electricity inand Wind Penetration. IEEE Transactions on Power Systems 27,of wind (50%), PV (35%), and concentrating solar power (CSP,

Darghouth, Naim

2014-01-01T23:59:59.000Z

322

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

323

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

2007-11-01T23:59:59.000Z

324
325

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

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

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

326

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

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

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

327

Safeguarding Truck-Shipped Wholesale and Retail Fuels (STSWRF)  

E-Print Network [OSTI]

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

328

1993 Wholesale Power and Transmission Rate Schedules.  

SciTech Connect (OSTI)

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

US Bonneville Power Administration

1993-10-01T23:59:59.000Z

329

A novel Electricity Marketing Model Integrating Intelligent Disaster-Recovery System  

Science Journals Connector (OSTI)

Considering the unexpected events, such as floods, fires, hurricanes, and even terrorist attacks, this paper discusses an integration model of electricity marketing system. The novel system consists of the wireless communication mode, computer networks, GPRS satellite positioning system and GIS power distribution system. This model aims at the intelligent disaster recovery system and the overall recovery plan for disaster recovery. Moreover, the marketing information systems are aiming at enhancing the ability to resist disasters and major incidents and reducing the disaster which is caused by combat and the loss of accidents. Finally, the paper suggests how this system could reduce the adverse effects on electricity customers and the whole society, to ensure that information systems provide critical business functions in the disaster time after resumption and continuation of operation.

Shi Li; Zeng Ming; Li Lingyun

2012-01-01T23:59:59.000Z

330

Computing Cournot Equilibria in Two Settlement Electricity Markets with Transmission Constraints  

E-Print Network [OSTI]

in the early-restructured markets are being incorporated in market reforms and new market designs. While

331

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

E-Print Network [OSTI]

including geothermal, small hydro, and biogas, as well as noby biomass, 1.5% by small hydro, and 0.3% by PV. The pricebiomass, geothermal, and small hydro electricity generation

Darghouth, Naim

2014-01-01T23:59:59.000Z

332

Integrating Variable Renewable Energy in Electric Power Markets: Best Practices from International Experience, Summary for Policymakers  

SciTech Connect (OSTI)

Many countries -- reflecting very different geographies, markets, and power systems -- are successfully managing high levels of variable renewable energy on the electric grid, including that from wind and solar energy. This document summarizes policy best practices that energy ministers and other stakeholders can pursue to ensure that electricity markets and power systems can effectively coevolve with increasing penetrations of variable renewable energy. There is no one-size-fits-all approach; each country studied has crafted its own combination of policies, market designs, and system operations to achieve the system reliability and flexibility needed to successfully integrate renewables. Notwithstanding this diversity, the approaches taken by the countries studied all coalesce around five strategic areas: lead public engagement, particularly for new transmission; coordinate and integrate planning; develop rules for market evolution that enable system flexibility; expand access to diverse resources and geographic footprint of operations; and improve system operations. This study also emphatically underscores the value of countries sharing their experiences. The more diverse and robust the experience base from which a country can draw, the more likely that it will be able to implement an appropriate, optimized, and system-wide approach.

Cochran, J.; Bird, L.; Heeter, J.; Arent, D. A.

2012-04-01T23:59:59.000Z

333

Integrating Variable Renewable Energy in Electric Power Markets: Best Practices from International Experience  

SciTech Connect (OSTI)

Many countries -- reflecting very different geographies, markets, and power systems -- are successfully managing high levels of variable renewable energy on the electric grid, including that from wind and solar energy. This study documents the diverse approaches to effective integration of variable renewable energy among six countries -- Australia (South Australia), Denmark, Germany, Ireland, Spain, and the United States (Western region-Colorado and Texas)-- and summarizes policy best practices that energy ministers and other stakeholders can pursue to ensure that electricity markets and power systems can effectively coevolve with increasing penetrations of variable renewable energy. Each country has crafted its own combination of policies, market designs, and system operations to achieve the system reliability and flexibility needed to successfully integrate renewables. Notwithstanding this diversity, the approaches taken by the countries studied all coalesce around five strategic areas: lead public engagement, particularly for new transmission; coordinate and integrate planning; develop rules for market evolution that enable system flexibility; expand access to diverse resources and geographic footprint of operations; and improve system operations. The ability to maintain a broad ecosystem perspective, to organize and make available the wealth of experiences, and to ensure a clear path from analysis to enactment should be the primary focus going forward.

Cochran, J.; Bird, L.; Heeter, J.; Arent, D. A.

2012-04-01T23:59:59.000Z

334

A Mixed Nordic Experience: Implementing Competitive Retail Electricity Markets for Household Customers  

SciTech Connect (OSTI)

Although the Nordic countries were among the first to develop competition in the electricity industry, it took a long time to make retail competition work. In Norway and Sweden a considerable number of households are actively using the market but very few households are active in Finland and Denmark. One problem has been institutional barriers involving metering, limited unbundling of distribution and supply, and limited access to reliable information on contracts and prices. (author)

Olsen, Ole Jess; Johnsen, Tor Arnt; Lewis, Philip

2006-11-15T23:59:59.000Z

335

Arizona Electric Pwr Coop Inc | Open Energy Information  

Open Energy Info (EERE)

Plant Yes Activity Generation Yes Activity Buying Transmission Yes Activity Wholesale Marketing Yes This article is a stub. You can help OpenEI by expanding it. Utility...

336

The Impact of Energy Efficiency and Demand Response Programs on the U.S. Electricity Market  

SciTech Connect (OSTI)

This study analyzes the impact of the energy efficiency (EE) and demand response (DR) programs on the grid and the consequent level of production. Changes in demand caused by EE and DR programs affect not only the dispatch of existing plants and new generation technologies, the retirements of old plants, and the finances of the market. To find the new equilibrium in the market, we use the Oak Ridge Competitive Electricity Dispatch Model (ORCED) developed to simulate the operations and costs of regional power markets depending on various factors including fuel prices, initial mix of generation capacity, and customer response to electricity prices. In ORCED, over 19,000 plant units in the nation are aggregated into up to 200 plant groups per region. Then, ORCED dispatches the power plant groups in each region to meet the electricity demands for a given year up to 2035. In our analysis, we show various demand, supply, and dispatch patterns affected by EE and DR programs across regions.

Baek, Young Sun [ORNL; Hadley, Stanton W [ORNL

2012-01-01T23:59:59.000Z

337

Leigh Tesfatsion Professor of Econ, Math, and Electrical & Computer Engineering  

E-Print Network [OSTI]

-settlement system: Concurrent operation of day-ahead (forward) & real-time (spot) markets · Transmission grid.econ.iastate.edu/tesfatsi/AMESMarketHome.htm Research/teaching/training grade test-bed Operational validity ( "simple but not too simple" ) Permits 2012 AMES Wholesale Power Market Test Bed #12;2 Presentation Outline Wholesale power market design

Tesfatsion, Leigh

338

Wholesale Power and Transmission Rate Projections 1993--2014 and Historical Wholesale Power Rates 1939--1992.  

SciTech Connect (OSTI)

This document provides a range of high, medium, and low case long-term projections of Bonneville Power Administration`s (BPA) wholesale power rates and a medium case long-term projection of BPA`s wheeling rates. These projections are produced annually by BPA. BPA uses these projections in long-term marketing, resource, transmission, and financial planning assessments. BPA`s projections also are used by public utility commissions, utilities, and others for a variety of planning purposes. The analysis used for these rate projections assumes that current rate making methodologies continue into the future and are further based on certain assumptions about regional loads, extra-regional markets, the costs of resources, BPA`s financial requirements, and the capability of the region`s power plants. While these projections are intended to address the overall uncertainty in rate levels, BPA realizes that the future will not reflect any specific set of assumptions. The rate projections in this document have been prepared prior to the Draft 1993 BPA Marketing Plan, the implementation of which is almost certain to push BPA away from any set of assumptions in this document. Therefore, this document can be thought of as representing the ``old`` BPA with its products and policies. It can be viewed as a starting point or reference point to measure the impact of the ``new`` BPA with its Marketing Plan, and the broader undertaking referred to as the Competitiveness Project.

US Bonneville Power Administration

1993-11-01T23:59:59.000Z

339

A Primer on Electric Utilities, Deregulation, and Restructuring of U.S. Electricity Markets  

SciTech Connect (OSTI)

This primer is offered as an introduction to utility restructuring to better prepare readers for ongoing changes in public utilities and associated energy markets. It is written for use by individuals with responsibility for the management of facilities that use energy, including energy managers, procurement staff, and managers with responsibility for facility operations and budgets. The primer was prepared by the Pacific Northwest National Laboratory under sponsorship from the U.S. Department of Energy?s Federal Energy Management Program. The impetus for this primer originally came from the Government Services Administration who supported its initial development.

Warwick, William M.

2002-06-03T23:59:59.000Z

340

Intelligent decision-making system with green pervasive computing for renewable energy business in electricity markets on smart grid  

Science Journals Connector (OSTI)

This paper is about the intelligent decision-making system for the smart grid based electricity market which requires distributed decision making on the competitive environments composed of many players and components. It is very important to consider ...

Dong-Joo Kang; Jong Hyuk Park; Sang-Soo Yeo

2009-02-01T23:59:59.000Z

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

Chapter 3 inMarket Analysis and Resource Managementedited by A. Faruqui and K. Eakin, Kluwer Publishers, March 2002 2 Restructuring the Electric Enterprise  

E-Print Network [OSTI]

, every user, producer, distributor and broker of electricity buys and sells, competes and cooperates regulators are moving toward permitting and encouraging a competitive market in electric power Publishers, March 2002 2 Chapter 3 Restructuring the Electric Enterprise Simulating the Evolution

Amin, S. Massoud

342

Independence Power Marketing | Open Energy Information  

Open Energy Info (EERE)

Data Utility Id 49921 Utility Location Yes Ownership R NERC Location NPCC Activity Wholesale Marketing Yes This article is a stub. You can help OpenEI by expanding it. Utility...

343

Optim Energy Marketing LLC | Open Energy Information  

Open Energy Info (EERE)

Id 56544 Utility Location Yes Ownership W NERC ERCOT Yes ISO Ercot Yes Activity Wholesale Marketing Yes This article is a stub. You can help OpenEI by expanding it. Utility...

344

Modelling market diffusion of electric vehicles with real world driving data — Part I: Model structure and validation  

Science Journals Connector (OSTI)

Abstract The future market diffusion of electric vehicles (EVs) is of great importance for transport related green house gas emissions and energy demand. But most studies on the market diffusion of \\{EVs\\} focus on average driving patters and neglect the great variations in daily driving of individuals present in real-world driving data. Yet these variations are important for \\{EVs\\} since range limitations and the electric driving share of plug-in hybrids strongly impact the economic evaluation and consumer acceptance of EVs. Additionally, studies often focus on private cars only and neglect that commercial buyers account for relevant market shares in vehicle sales. Here, we propose a detailed, user specific model for the market diffusion of \\{EVs\\} and evaluation of EV market diffusion policies based on real-world driving data. The data and model proposed include both private and commercial users in Germany and allow the calculation of realistic electric driving shares for all usage patterns. The proposed model explicitly includes user heterogeneity in driving behaviour, different user groups, psychological aspects and the effect of charge-at-home options. Our results show that the proposed model reproduces group specific market shares, gives confidence bands of market shares and simulates individual electric driving shares.

Patrick Plötz; Till Gnann; Martin Wietschel

2014-01-01T23:59:59.000Z

345

MARKETING  

Science Journals Connector (OSTI)

MARKETING ... New Directory to Index Government Data CMRA and BDSA team up to bring out a new index to government statistics on chemical commodities Industry market researchers are teaming up with two government agencies in a joint project to catalog government data on chemicals. ...

1962-02-26T23:59:59.000Z

346

Western Interconnection Energy Imbalance Market Status and Prospects (Presentation)  

SciTech Connect (OSTI)

This presentation describes how a new wholesale electricity market for energy imbalance ancillary services could be implemented and operated. Some conclusions of this presentation are: (1) Method for calculating additional reserve requirements due to wind and solar production; (2) EIM results in substantial reduction in reserves requirements and ramping demand; (3) Reduced participation reduces benefits for all but reduces the benefits to non-participants the most; (4) Full participation leads to maximum benefit across the Western Interconnection, up to 42% of total reserve requirement; and (5) Regional EIM implementations have smaller but substantial benefits.

Milligan, M.; Kirby, B.; King, J.; Beuning, S.

2011-10-01T23:59:59.000Z

347

Board of Water Electric & Communications | Open Energy Information  

Open Energy Info (EERE)

Electric & Communications Electric & Communications Jump to: navigation, search Name Board of Water Electric & Communications Place Iowa Utility Id 13143 Utility Location Yes Ownership M NERC Location MRO NERC MRO Yes ISO MISO Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Retail Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 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 I Electric Commercial Commercial II Electric Commercial

348

The social construction of the market for electric cars in France: politics coming to the aid of economics  

Science Journals Connector (OSTI)

With so many questions being raised nowadays about the future of the global automobile industry, electric cars have tended to be viewed as an increasingly desirable sustainable solution for the sector. Encouraged by many states in Europe and across the world, this market â?? devolved from electrical technology â?? is slowly taking shape and has a serious chance of achieving future growth for the first time in its history. The present article tries to identify operational factors in the construction of the market for electric cars in France, highlighting the crucial role played by the state and public policy in the emergence of the new branch and in the construction of its demand. It also shows the definitional and symbolical conflicts which have structured debates on the future of the electric car and its commercial implications. Grasping these processes is decisive to understanding the current situation and the importance of representations on market building.

Axel Villareal

2011-01-01T23:59:59.000Z

349

Maximizing the revenues of data centers in regulation market by coordinating with electric vehicles  

Science Journals Connector (OSTI)

Abstract Frequency regulation is a major market service to reduce the undesired imbalance between power supply and demand in the power market. In order to participate in the regulation market, both the supply and demand sides need to be capable of flexibly adjusting their power generation and consumption, respectively. As the scale of Internet data centers is increasing rapidly, their significant power consumption has enabled them to become an important player in the regulation market for maximized profits and thus minimized operating expenses. On the other side, Plug-in Hybrid Electric Vehicles (PHEVs) have also recently been identified as a major participant in the regulation market, due to their large power demand for battery charging. In this paper, we propose a novel power management scheme that jointly leverages a data center and its employees’ \\{PHEVs\\} to (1) maximize the revenues that the data center receives from the regulation market and (2) get the \\{PHEVs\\} charged at no expense to their owners. Our scheme features a two-level hierarchical power control design. At the first level, our scheme interacts with the regulation market to provide information about the data center power consumption on an hourly basis. At the second level, the scheme decides the power budgets for the servers and UPS in the data center, as well as PHEVs, in real time, to follow the given regulation signal. In addition, we show how to leverage the thermal energy storage (TES) tanks available in many data centers to adapt the cooling power consumption for better management of the data center power demand and further increased regulation revenues. We evaluate the proposed scheme with real-world workload and regulation traces. The results show that our scheme performs a high-quality regulation service. As a result, the proposed scheme outperforms several commonly used baselines by having higher regulation revenues, and so lower operating expenses, for the data center. Finally, we analyze the cost savings of the PHEV owners, throughout the lifetime of the PHEVs, by getting their batteries charged at no expense.

Marco Brocanelli; Sen Li; Xiaorui Wang; Wei Zhang

2014-01-01T23:59:59.000Z

350

Real-Time Electricity Markets Material from this introduction was adapted from [1].  

E-Print Network [OSTI]

and a capacity market, but we will not address those in these notes.) These markets together have 3 types

McCalley, James D.

351

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

352

The Reduction of Inventory and Warehouse Costs for Thai Traditional Wholesale Businesses of Consumer Products  

Science Journals Connector (OSTI)

Abstract This paper deals with the problems of inventory and warehouse costs for Thai traditional wholesale businesses in consumer products. The wholesale businesses of consumer products consist of a few hundred of suppliers and almost fifty thousand Stock Keeping Units (SKUs), which inventory and warehousing are not only costly but also hard to manage. This study's main objectives are to know the source of the high inventory and warehousing costs, and to find ways on reducing them. The study involves shop owners as respondents and uses observational study and interview for data gathering. This research also applies the concept of basic mathematical model for integrating all segments by applying Excel program in single window of purchasing, inventory, sales and marketing segments, which is decision maker. The data were then interpreted with the help of statistical tools. This research reveals that most of Thai traditional wholesale businesses lack knowledge and methodology for executing business by separating management of procurement and purchasing, inventory and warehouse, and sales segments. The result also shows that Thai traditional purchasing is decided more by feeling rather than facts. The high inventory and warehousing costs have occurred by purchasing, so sales and marketing can help to reduce inventory and warehouse costs. Therefore, if the integration of all segments is a single window management, then it becomes the best way for executing business.

Veeraphat Krittanathip; Suriyan Cha-um; Senee Suwandee; Sakchai Rakkarn; Chiratus Ratanamaneichat

2013-01-01T23:59:59.000Z

353

Local Utilities in the German Electricity Market and Their Role in the Diffusion of Innovations in Energy Efficiency and Climate Change Mitigation  

Science Journals Connector (OSTI)

The German electricity market has undergone a large restructuring since the ... stayed rather stable. New actors entered the market in generation, services and distribution (e. ... ” (E.ON), independent power pro...

Dorothea Jansen

2012-01-01T23:59:59.000Z

354

Reduction in subsidy for solar power as distributed electricity generation in Indian future competitive power market  

Science Journals Connector (OSTI)

Developed countries have seen renewable energy as a key tool for emission reduction as well as reducing reliance on oil gas and coal.Renewable energy sources (RESs) and technologies have potential to provide solutions to the longstanding energy problems being faced by the developing countries. In the future competitive electricity market for India it becomes very much important to give special consideration for development of RESs due to economic environmental and other social problems related with conventional generations.Solar energy can be an important part of India's plan not only to add new capacity but also to increase energy security and lead the massive market for renewable energy. The major problem with solar powergeneration (SPG) is high cost of renewable generation. The Indian government is providing a lot of subsidy in order to encourage renewable energygenerations. This paper presents an approach for reduction in subsidy of SPG used as distributed generator in competitive power market. The proposed approach has been validated with IEEE 14-bus and IEEE 30-bus systems.

Naveen Kumar Sharma; Yog Raj Sood

2012-01-01T23:59:59.000Z

355

Salt Lake City Area Integrated Projects Electric Power Marketing. Draft environmental impact statement: Volume 1, Summary  

SciTech Connect (OSTI)

The Salt Lake City Area Office of the Western Area Power Administration (Western) markets electricity produced at hydroelectric facilities operated by the Bureau of Reclamation. The facilities are known collectively as the Salt Lake City Area Integrated Projects (SLCA/IP) and include dams equipped for power generation on the Green, Gunnison, Rio Grande, and Colorado rivers and on Deer and Plateau creeks in the states of Wyoming, Utah, Colorado, Arizona, and New Mexico. Of these facilities, only the Glen Canyon Unit, the Flaming Gorge Unit, and the Aspinall Unit (which includes Blue Mesa, Morrow Point, and Crystal dams) are influenced by Western`s power scheduling and transmission decisions. The EIS alternatives, called commitment-level alternatives, reflect combinations of capacity and energy that would feasibly and reasonably fulfill Western`s firm power marketing responsibilities, needs, and statutory obligations. The viability of these alternatives relates directly to the combination of generation capability of the SLCA/IP with energy purchases and interchange. The economic and natural resource assessments in this environmental impact statement (EIS) include an analysis of commitment-level alternatives. Impacts of the no-action altemative are also assessed. Supply options, which include combinations of electrical power purchases and hydropower operational scenarios reflecting different operations of the dams, are also assessed. The EIS evaluates the impacts of these scenarios relative to socioeconomics, air resources, water resources, ecological resources, cultural resources, land use, recreation, and visual resources.

Not Available

1994-02-01T23:59:59.000Z

356

El Paso Electric Co | Open Energy Information  

Open Energy Info (EERE)

Paso Electric Co Paso Electric Co (Redirected from El Paso Electric) Jump to: navigation, search Name El Paso Electric Co Place El Paso, Texas Website www.epelectric.com Utility Id 5701 Utility Location Yes Ownership I NERC Location WECC NERC WECC Yes ISO Other Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] SGIC[3] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! El Paso Electric Smart Grid Project was awarded $1,014,414 Recovery Act Funding with a total project value of $2,085,095.

357

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

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

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

358

Understanding China’s electricity market reform from the perspective of the coal-fired power disparity  

Science Journals Connector (OSTI)

Abstract In China, electricity consumption has grown quickly, supply is highly dependent on coal-fired power, and the prices of electricity are determined by the government, which increases the need for reform to enhance efficiency. In response to disputes about China’s electricity market reform, this paper analyses the efficiency of China’s coal-fired power plants using the Data Envelopment Analysis—Slack Based Measure (DEA-SBM) method on three levels: groups, provinces, and plants. The results indicate that there are both coal-electricity efficiency disparities and generation-hour arrangement unfairness across groups; the disparity across provinces is obvious and long-lasting, as indicated by capacity surpluses and coal-electricity efficiencies; and the disparities are displayed in detail by the estimation at the plant level. The disparities are primarily caused by the generator combination and generation hour arrangement. Competition may be able to solve the disparities, but a further comparison indicates that competition at the national level will enhance the efficiency to a greater degree than competition at the regional level. These results demonstrate that both competition and a united electricity market are necessary for further electricity market reform.

Dunguo Mou

2014-01-01T23:59:59.000Z

359

Salt Lake City Area Integrated Projects Electric Power Marketing Final Environmental Impact Statement  

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

01eis0150_cov.html[6/24/2011 2:58:48 PM] 01eis0150_cov.html[6/24/2011 2:58:48 PM] COVER SHEET Title: Salt Lake City Area Integrated Projects Electric Power Marketing Final Environmental Impact Statement, DOE/EIS-0150 Cooperating Agencies: U.S. Fish and Wildlife Service, the National Park Service, and the Bureau of Reclamation Lead Agency: Western Area Power Administration, U.S. Department of Energy Written comments on this environmental impact statement (EIS) should be addressed to: For general information on the U.S. Department of Energy EIS process, contact: Mr. David Sabo Western Area Power Administration Colorado River Storage Project Customer Service Office P.O. Box 11606 Salt Lake City, Utah 84147-0606 Telephone: (801) 524-5392 Ms. Carol Borgstrom, Director Office of NEPA Policy and Assistance (EH-42)

360

1996 Wholesale Power and Transmission Rate Schedules.  

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

1996-10-01T23:59:59.000Z

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

Seminole Electric Cooperative Inc | Open Energy Information  

Open Energy Info (EERE)

Electric Cooperative Inc Electric Cooperative Inc Jump to: navigation, search Name Seminole Electric Cooperative Inc Place Florida Utility Id 21554 Utility Location Yes Ownership C NERC Location FRCC NERC FRCC Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Wholesale Marketing 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 No rate schedules available. Average Rates No Rates Available References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Seminole_Electric_Cooperative_Inc&oldid=411501"

362

Associated Electric Coop, Inc | Open Energy Information  

Open Energy Info (EERE)

Electric Coop, Inc Electric Coop, Inc Jump to: navigation, search Name Associated Electric Coop, Inc Place Missouri Utility Id 924 Utility Location Yes Ownership C NERC Location SERC NERC SERC Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Wholesale Marketing 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 No rate schedules available. Average Rates No Rates Available References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Associated_Electric_Coop,_Inc&oldid=408998"

363

Glades Electric Coop, Inc | Open Energy Information  

Open Energy Info (EERE)

Glades Electric Coop, Inc Glades Electric Coop, Inc Place Florida Utility Id 7264 Utility Location Yes Ownership C NERC Location FRCC NERC FRCC Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Retail Marketing 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 Schedule GS-2 Non-Demand- General Service Commercial Schedule GS-3 Demand- General Service Commercial Schedule LP- Large Power Service Demand Industrial Schedule OL-1- Outdoor Lighting (100 W Yard Light) Lighting

364

Portland General Electric Co | Open Energy Information  

Open Energy Info (EERE)

Portland General Electric Co Portland General Electric Co Place Oregon Service Territory Oregon Website www.portlandgeneral.com/d Green Button Landing Page www.portlandgeneral.com/d Green Button Reference Page energy.gov/articles/green Green Button Implemented Yes Utility Id 15248 Utility Location Yes Ownership I NERC Location WECC NERC WECC Yes ISO Other Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Retail Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now!

365

Replacement-1 Wholesale Power Rate Schedule | Department of Energy  

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

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

366

Fact #843: October 20, 2014 Cumulative Plug-in Electric Vehicle Sales are Two and a Half Times Higher than Hybrid Electric Vehicle Sales in the First 45 Months since Market Introduction – Dataset  

Broader source: Energy.gov [DOE]

Excel file with dataset for Fact #843: Cumulative Plug-in Electric Vehicle Sales are Two and a Half Times Higher than Hybrid Electric Vehicle Sales in the First 45 Months since Market Introduction

367

Electricity Reliability Council of Texas (ERCOT) | Open Energy Information  

Open Energy Info (EERE)

Electricity Reliability Council of Texas (ERCOT) Electricity Reliability Council of Texas (ERCOT) Jump to: navigation, search The Electric Reliability Council of Texas (ERCOT) manages the flow of electric power to 22 million Texas customers - representing 85 percent of the state's electric load and 75 percent of the Texas land area. As the independent system operator for the region, ERCOT schedules power on an electric grid that connects 40,000 miles of transmission lines and more than 550 generation units. ERCOT also manages financial settlement for the competitive wholesale bulk-power market and administers customer switching for 6.5 million Texans in competitive choice areas. News ERCOT gathers wind data from cellphone towers References ERCOT This article incorporates public domain material from the document:

368

Volatile Energy Costs and the Floundering Deregulation of Electricity: A  

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

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

369

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

370

Media Release: February 14, 2013 A proliferation of electric vehicles for the New Zealand market is still some way off, a University of  

E-Print Network [OSTI]

take 50- 100 years, he said. Dr Miller's electric vehicle project was headed by Electric PowerMedia Release: February 14, 2013 A proliferation of electric vehicles for the New Zealand market is still some way off, a University of Canterbury (UC) Electrical Power Engineering Centre (EPECentre

Hickman, Mark

371

Linking meters and markets: Roles and incentives to support a flexible demand side  

Science Journals Connector (OSTI)

Abstract Present trends in the development of electricity systems are expected to generate a growing need for flexibility in decentralised resources, including demand response. In order to enable decentralised actors to create value, the organisation of markets and incentives should incorporate these new participants. The roll-out of smart metering to electricity consumers is an important precondition to establishing a flexible demand side and will provide essential information flows. On the basis of current incentive structures and related risks, however, the pass-through of information and value from wholesale market participants to the demand side is mostly infeasible, resulting in flexibility tasks being aggregated and delegated to balancing responsible wholesale traders. This analysis focuses on whether current incentives and roles are appropriate and where the design could be improved to establish a flexible demand side with a particular focus on the Danish case. Design-related barriers are identified that affect expected value, associated risks, and the distribution of responsibilities. This serves as a basis to define policy options in the context of Nordic electricity markets.

Jonas Katz

2014-01-01T23:59:59.000Z

372

Coordinated Control and Optimization of Virtual Power Plants for Energy and Frequency Regulation Services in Electricity Markets  

E-Print Network [OSTI]

and bidding strategy for VPPs to provide energy balancing and grid frequency regulation services in electricity market environment. In this thesis, the VPP consists of two energy conversion assets: a Doubly Fed Induction Generator (DFIG)-based wind farm and a...

Zhang, Fan

2012-02-14T23:59:59.000Z

373

The More Cooperation, the More Competition? A Cournot Analysis of the Benefits of Electric Market Coupling  

E-Print Network [OSTI]

in timing between interface auctions and the energy spot market. A Cournot market model that accounts for the region’s transmission pricing rules and limitations is used to simulate market outcomes with and without market coupling. This accounts for 1...

Hobbs, Benjamin F; Rijkers, F A M

2006-03-14T23:59:59.000Z

374

O:\ELECTRIC\ORDERS\ea-243-0rd.PDF  

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

Tenaska Power Services Company Tenaska Power Services Company Order No. EA-243 I. BACKGROUND Exports of electricity from the United States to a foreign country are regulated and require authorization under section 202(e) of the Federal Power Act (FPA) (16 U.S.C. §824a(e)). On June 4, 2001, Tenaska Power Services Company (Tenaska Power) applied to the Office of Fossil Energy (FE) of the Department of Energy (DOE) for authorization to transmit electric energy to Canada as a power marketer. Tenaska Power is an Nebraska corporation created for the purposes of marketing and trading of electricity at wholesale. Tenaska Power proposes to purchase surplus electric energy from electric utilities and other suppliers within the United States and to export this energy on its own behalf to Canada. The energy to

375

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

Gasoline and Diesel Fuel Update (EIA)

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

376

Louisville Gas & Electric Co | Open Energy Information  

Open Energy Info (EERE)

Gas & Electric Co Gas & Electric Co Jump to: navigation, search Name Louisville Gas & Electric Co Place Kentucky Utility Id 11249 Utility Location Yes Ownership I NERC Location SERC NERC SERC Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Retail Marketing Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 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 ; CSR10-Curtailable Service Rider- Primary voltage Commercial

377

Rochester Gas & Electric Corp | Open Energy Information  

Open Energy Info (EERE)

Rochester Gas & Electric Corp Rochester Gas & Electric Corp Jump to: navigation, search Name Rochester Gas & Electric Corp Place New York Utility Id 16183 Utility Location Yes Ownership I NERC Location NPCC NERC NPCC Yes ISO NY Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Buying Distribution Yes Activity Wholesale Marketing Yes Activity Retail Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] 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 SERVICE CLASSIFICATION NO. 1 - RESIDENTIAL SERVICE RSS (Non-Retail Access

378

TransCanada Energy Marketing ULC | Open Energy Information  

Open Energy Info (EERE)

Id 56276 Utility Location Yes Ownership W NERC Location WECC NERC WECC Yes Activity Wholesale Marketing Yes This article is a stub. You can help OpenEI by expanding it. Utility...

379

Dynamics of Electricity Markets with Unknown Utility Functions: An Extremum Seeking Control Approach  

E-Print Network [OSTI]

time and schedule the electricity consumption and productionclearing price. The electricity consumption of the consumerswhere x i is the electricity consumption of consumer i ? N

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

2014-01-01T23:59:59.000Z

380

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 "wholesale electricity markets" 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

Multi-objective Optimization for Pricing System Security in Electricity Markets  

E-Print Network [OSTI]

or hybrid markets, how to properly include system security is still an open question. This paper mainly focuses on hybrid markets and on the inclusion of proper security constraints through the use of a multi

Cañizares, Claudio A.

382

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

383

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

2005-11-01T23:59:59.000Z

384

Electric Fund (CDWR) | Open Energy Information  

Open Energy Info (EERE)

Id 3288 Utility Location Yes Ownership S NERC Location WECC NERC WECC Yes Activity Wholesale Marketing Yes This article is a stub. You can help OpenEI by expanding it. Utility...

385

People's Electric Corporation | Open Energy Information  

Open Energy Info (EERE)

861 Data Utility Id 14788 Utility Location Yes Ownership W NERC Location SPP Activity Wholesale Marketing Yes This article is a stub. You can help OpenEI by expanding it. Utility...

386

Big Rivers Electric Corp | Open Energy Information  

Open Energy Info (EERE)

NERC SERC Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Wholesale Marketing Yes This article is a stub. You can help OpenEI by expanding it. Utility...

387

Potomac Electric Power Co | Open Energy Information  

Open Energy Info (EERE)

Potomac Electric Power Company (PEPCO)) Potomac Electric Power Company (PEPCO)) Jump to: navigation, search Name Potomac Electric Power Co Place District of Columbia Service Territory District of Columbia, Maryland Website www.pepco.com/home/ Green Button Landing Page www.pepco.com/home/billin Green Button Reference Page www.pepcoholdings.com/abo Green Button Implemented Yes Utility Id 15270 Utility Location Yes Ownership I NERC Location RFC NERC RFC Yes RTO PJM Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] SGIC[3] LinkedIn Connections

388

Dublin Municipal Electric Util | Open Energy Information  

Open Energy Info (EERE)

Dublin Municipal Electric Util Dublin Municipal Electric Util Jump to: navigation, search Name Dublin Municipal Electric Util Place Indiana Utility Id 5392 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes Activity Distribution Yes Activity Wholesale Marketing 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 Commercial General Power Rate OL: Outdoor Lighting (Security Lights) Lighting Rate SL: Street Lighting, All Public Street Lighting Lighting Rate SL: Street Lighting, State Highway Stoplight Lighting Residential Residential Residential: Space Heating and/or Air Conditioning Service Residential

389

Atlantic City Electric Co | Open Energy Information  

Open Energy Info (EERE)

Atlantic City Electric Co Atlantic City Electric Co Place Mays Landing, New Jersey Service Territory New Jersey Website www.atlanticcityelectric. Green Button Committed Yes Utility Id 963 Utility Location Yes Ownership I NERC Location RFC NERC RFC Yes RTO PJM Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] SGIC[3] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Atlantic City Electric Company Smart Grid Project was awarded $18,700,000 Recovery Act Funding with a total project value of $37,400,000.

390

Old Dominion Electric Coop | Open Energy Information  

Open Energy Info (EERE)

Old Dominion Electric Coop Old Dominion Electric Coop Place Virginia Utility Id 40229 Utility Location Yes Ownership C NERC Location SERC NERC RFC Yes NERC SERC Yes RTO PJM Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Wholesale Marketing 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 No rate schedules available. Average Rates No Rates Available References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Old_Dominion_Electric_Coop&oldid=411269

391

El Paso Electric Co | Open Energy Information  

Open Energy Info (EERE)

El Paso Electric Co El Paso Electric Co Place El Paso, Texas Website www.epelectric.com Utility Id 5701 Utility Location Yes Ownership I NERC Location WECC NERC WECC Yes ISO Other Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] SGIC[3] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! El Paso Electric Smart Grid Project was awarded $1,014,414 Recovery Act Funding with a total project value of $2,085,095. Utility Rate Schedules Grid-background.png 1000W HPSV 119500 lumen - floodlight on existing wood pole Lighting

392

Atlantic City Electric Co | Open Energy Information  

Open Energy Info (EERE)

Co Co (Redirected from Atlantic City Electric Company) Jump to: navigation, search Name Atlantic City Electric Co Place Mays Landing, New Jersey Service Territory New Jersey Website www.atlanticcityelectric. Green Button Committed Yes Utility Id 963 Utility Location Yes Ownership I NERC Location RFC NERC RFC Yes RTO PJM Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] SGIC[3] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Atlantic City Electric Company Smart Grid Project was awarded $18,700,000

393

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

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

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

394

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

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

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

395

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

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

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

396

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

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

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

397

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

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

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

398

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

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

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

399

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

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

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

400

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

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

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

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

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

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

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

402

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

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

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

403

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

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

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

404

Pump-2 Wholesale Power Rate Schedule | Department of Energy  

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

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

405

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

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

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

406

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

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

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

407

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

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

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

408

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

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

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

409

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

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

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

410

2010 Wind Technologies Market Report  

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

2010 Wind Technologies Market Report 2010 Wind Technologies Market Report Title 2010 Wind Technologies Market Report Publication Type Report Refereed Designation Unknown Year of Publication 2011 Authors Wiser, Ryan H., and Mark Bolinger Tertiary Authors Darghouth, NaĂŻm, Kevin Porter, Michael Buckley, Sari Fink, Russell Raymond, Frank Oteri, Galen L. Barbose, Joachim Seel, Andrew D. Mills, and Ben Hoen Pagination 98 Date Published 06/2011 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department, power system economics, renewable energy, wind power Abstract The U.S. wind power industry experienced a trying year in 2010, with a significant reduction in new builds compared to both 2008 and 2009. The delayed impact of the global financial crisis, relatively low natural gas and wholesale electricity prices, and slumping overall demand for energy countered the ongoing availability of existing federal and state incentives for wind energy deployment. The fact that these same drivers did not impact capacity additions in 2009 can be explained, in part, by the "inertia" in capital-intensive infrastructure investments: 2009 capacity additions were largely determined by decisions made prior to the economy-wide financial crisis that was at its peak in late 2008 and early 2009, whereas decisions on 2010 capacity additions were often made at the height of the financial crisis. Cumulative wind power capacity still grew by a healthy 15% in 2010, however, and most expectations are for moderately higher wind power capacity additions in 2011 than witnessed in 2010, though those additions are also expected to remain below the 2009 high.

411

Trends in demand for retail and wholesale cuts of meat  

E-Print Network [OSTI]

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

Holloway, David Wayne

2012-06-07T23:59:59.000Z

412

R e g u l a t i o n 46 Volume 23, No. 2 As other jurisdictions refashion their electricity markets,  

E-Print Network [OSTI]

R e g u l a t i o n 46 Volume 23, No. 2 As other jurisdictions refashion their electricity markets of electricity, combined with very little demandelasticityandtheneedforreal-timesupply/demand balancing to keep fromexperiencewithnaturalgas,airlines,trucking,telecom- munications, and a host of other industries. THE ORIGIN OF ELECTRICITY

Kammen, Daniel M.

413

Estimating the Value of Electricity Storage Resources in Electricity...  

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

Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The...

414

Theory and Application of Linear Supply Function Equilibrium in Electricity Markets  

E-Print Network [OSTI]

and Newbery (1992) to the electricity industry reforms in England and Wales (E&W). Green (1996) used a linear as a practical tool for studying oligopoly in the electricity industry. Recent reforms of the electricity

Baldick, Ross

415

Portland General Electric Co | Open Energy Information  

Open Energy Info (EERE)

(Redirected from PGE) (Redirected from PGE) Jump to: navigation, search Name Portland General Electric Co Place Oregon Service Territory Oregon Website www.portlandgeneral.com/d Green Button Landing Page www.portlandgeneral.com/d Green Button Reference Page energy.gov/articles/green Green Button Implemented Yes Utility Id 15248 Utility Location Yes Ownership I NERC Location WECC NERC WECC Yes ISO Other Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Retail Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections

416

Dynamic ModelingDynamic Modeling the Electric Power Networkthe Electric Power Network  

E-Print Network [OSTI]

criteria to enter the wholesale market DEREGULATION PROCESS: FERC's Order 888 mandated the wheeling at the National Energy Modeling System/Annual Energy Outlook Conference, Washington, DC, March 10, 2003] #12

Oro, Daniel

417

Rushmore Electric Pwr Coop Inc | Open Energy Information  

Open Energy Info (EERE)

Rushmore Electric Pwr Coop Inc Rushmore Electric Pwr Coop Inc Jump to: navigation, search Name Rushmore Electric Pwr Coop Inc Place South Dakota Utility Id 16443 Utility Location Yes Ownership C NERC Location MRO NERC MRO Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Wholesale Marketing 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 Residential Average Rates No Rates Available References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Rushmore_Electric_Pwr_Coop_Inc&oldid=41147

418

Golden Spread Electric Cooperative, Inc | Open Energy Information  

Open Energy Info (EERE)

Golden Spread Electric Cooperative, Inc Golden Spread Electric Cooperative, Inc Jump to: navigation, search Name Golden Spread Electric Cooperative, Inc Place Amarillo, Texas Utility Id 7349 Utility Location Yes Ownership C NERC Location SPP NERC ERCOT Yes NERC SPP Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Buying Distribution Yes Activity Wholesale Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] SGIC[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Golden Spread Electric Cooperative, Inc. Smart Grid Project was awarded $19,995,000 Recovery Act Funding with a total project value of $49,987,500.

419

Massachusetts Mun Wholes Electric Co | Open Energy Information  

Open Energy Info (EERE)

Wholes Electric Co Wholes Electric Co Jump to: navigation, search Name Massachusetts Mun Wholes Electric Co Place Massachusetts Utility Id 11806 Utility Location Yes Ownership A NERC Location NPCC NERC NPCC Yes ISO NE Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Wholesale Marketing 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 No rate schedules available. Average Rates No Rates Available References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Massachusetts_Mun_Wholes_Electric_Co&oldid=411045"

420

Pacific Gas & Electric Co | Open Energy Information  

Open Energy Info (EERE)

& Electric Co & Electric Co Place California Service Territory California Website www.pge.com Green Button Landing Page www.pge.com/myhome/myacco Green Button Reference Page www.pge.com/myhome/myacco Green Button Implemented Yes Utility Id 14328 Utility Location Yes Ownership I NERC Location WECC NERC WECC Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Buying Distribution Yes Activity Wholesale Marketing Yes Activity Retail Marketing Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile

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

Green Electricity Certificates in Flanders: The Gradual Extension of a Market-Based Mechanism and Doubts Over its Cost-Efficiency  

Science Journals Connector (OSTI)

At the time of its introduction in 2002, the Flemish system to support renewables was a pure market-based green electricity certificate system. Starting in 2004 a string of changes to the system, up till the c...

Ils Moorkens; Yoko Dams; Luc Van Wortswinkel…

2013-01-01T23:59:59.000Z

422

Auction approaches of long-term contracts to ensure generation investment in electricity markets: Lessons from the Brazilian and Chilean experiences$  

E-Print Network [OSTI]

. Mocarquer d,3 , B. Bezerra b,1 a Imperial College London, Electrical and Electronic Engineering Department allocation among investors and the politico-economic environment of the market. The fundamentals of similar

Catholic University of Chile (Universidad CatĂłlica de Chile)

423

Topic A and B Awardee: Electric Reliability Council of Texas | Department  

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

Technology Development » Transmission Planning » Technology Development » Transmission Planning » Recovery Act Interconnection Transmission Planning » Learn More About Interconnections » Topic A and B Awardee: Electric Reliability Council of Texas Topic A and B Awardee: Electric Reliability Council of Texas The Electric Reliability Council of Texas (ERCOT) manages the flow of electric power to 22 million Texas customers - representing 85 percent of the state's electric load and 75 percent of the Texas land area. As the independent system operator for the region, ERCOT schedules power on an electric grid that connects 40,000 miles of transmission lines and more than 550 generation units. ERCOT also manages financial settlement for the competitive wholesale bulk-power market and administers customer switching

424

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

SciTech Connect (OSTI)

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

Hadley, S.W.

1998-07-01T23:59:59.000Z

425

Fact #843: October 20, 2014 Cumulative Plug-in Electric Vehicle Sales are Two and a Half Times Higher than Hybrid Electric Vehicle Sales in the First 45 Months since Market Introduction  

Broader source: Energy.gov [DOE]

The first hybrid electric vehicle was introduced in December 1999 and for the next 45 months (through August 2003) there were a total of 95,778 hybrid vehicles sold. The first mass-marketed plug-in...

426

Lincoln Electric System | Open Energy Information  

Open Energy Info (EERE)

Lincoln Electric System Lincoln Electric System Place Nebraska Utility Id 11018 Utility Location Yes Ownership M NERC Location MRO NERC MRO Yes RTO SPP Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] 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 1000 W Mercury Vapor- Security Light Lighting 150 W High Pressure Sodium - Security Light Lighting 175 W Mercury Vapor- Security Light Lighting 250 W High Pressure Sodium - Security Light Lighting

427

Arkansas Electric Coop Corp | Open Energy Information  

Open Energy Info (EERE)

Corp Corp Jump to: navigation, search Name Arkansas Electric Coop Corp Place Arkansas Utility Id 807 Utility Location Yes Ownership C NERC Location SPP NERC SPP Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Wholesale Marketing 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 No rate schedules available. Average Rates No Rates Available References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Arkansas_Electric_Coop_Corp&oldid=408993

428

Wisconsin Electric Power Co | Open Energy Information  

Open Energy Info (EERE)

Electric Power Co Electric Power Co Place Wisconsin Utility Id 20847 Utility Location Yes Ownership I NERC Location RFC NERC RFC Yes ISO MISO Yes Operates Generating Plant Yes Activity Generation Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] 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 CP (Secondary) Commercial Cg 1 Commercial Cg 2 Option A Commercial Cg 2 Option B Commercial Cg 3 Commercial Cg-20 (Time of Use) Commercial

429

Potomac Electric Power Co | Open Energy Information  

Open Energy Info (EERE)

Potomac Electric Power Co Potomac Electric Power Co Place District of Columbia Service Territory District of Columbia, Maryland Website www.pepco.com/home/ Green Button Landing Page www.pepco.com/home/billin Green Button Reference Page www.pepcoholdings.com/abo Green Button Implemented Yes Utility Id 15270 Utility Location Yes Ownership I NERC Location RFC NERC RFC Yes RTO PJM Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] SGIC[3] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it.

430

Atlantic City Electric Co | Open Energy Information  

Open Energy Info (EERE)

Co Co (Redirected from ACE) Jump to: navigation, search Name Atlantic City Electric Co Place Mays Landing, New Jersey Service Territory New Jersey Website www.atlanticcityelectric. Green Button Committed Yes Utility Id 963 Utility Location Yes Ownership I NERC Location RFC NERC RFC Yes RTO PJM Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] SGIC[3] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Atlantic City Electric Company Smart Grid Project was awarded $18,700,000

431

Investment in nuclear generation in a restricted electricity market : an analysis of risks and financing options  

E-Print Network [OSTI]

Since the late 1970s, the US electric power industry has been undergoing major changes. The electric utility industry had mainly consisted of highly regulated, vertically integrated, local monopolies, providing customers ...

Berger, Raphael

2006-01-01T23:59:59.000Z

432

Electric power grid control using a market-based resource allocation system  

DOE Patents [OSTI]

Disclosed herein are representative embodiments of methods, apparatus, and systems for distributing a resource (such as electricity) using a resource allocation system. In one exemplary embodiment, a plurality of requests for electricity are received from a plurality of end-use consumers. The requests indicate a requested quantity of electricity and a consumer-requested index value indicative of a maximum price a respective end-use consumer will pay for the requested quantity of electricity. A plurality of offers for supplying electricity are received from a plurality of resource suppliers. The offers indicate an offered quantity of electricity and a supplier-requested index value indicative of a minimum price for which a respective supplier will produce the offered quantity of electricity. A dispatched index value is computed at which electricity is to be supplied based at least in part on the consumer-requested index values and the supplier-requested index values.

Chassin, David P

2014-01-28T23:59:59.000Z

433

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

434

Cap-and-Trade Modeling and Analysis: Congested Electricity Market Equilibrium  

E-Print Network [OSTI]

state policy that fundamentally requires a minimum percentage of electricity generation from renewable energy resources, such as biomass, geothermal, solar

Limpaitoon, Tanachai

2012-01-01T23:59:59.000Z

435

Demand response based congestion management in a mix of pool and bilateral electricity market model  

Science Journals Connector (OSTI)

The independent system operator (ISO) is a key element in the deregulated structure with one of the responsibilities of transmission congestion management (CM). The ISO opts market based solutions to manage conge...

Ashwani Kumar; Charan Sekhar

2012-06-01T23:59:59.000Z

436

Application to Export Electric Energy OE Docket No. EA-403 Frontera Marketing, LLC  

Broader source: Energy.gov [DOE]

Frontera Marketing submits this letter to inform DOE of recent developments and additional information relevant to the application that was filed on September 12, 2014, including changes to the...

437

Lurching towards markets for power: China's electricity policy 19852007 Xiaoli Zhao a,c,  

E-Print Network [OSTI]

of electricity prices and investment incentives. We argue that the gov- ernance reforms successfully ended tremendously. Meanwhile, the electricity price reform in 1996 promoted power generation corporations more responsive to electricity demand and price signals to some extend. However, it cannot be proved

Lyon, Thomas P.

438

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

2005-11-01T23:59:59.000Z

439

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

2006-07-01T23:59:59.000Z

440

:,/0$5 Wind Power Integration in Liberalised Electricity Markets :,/0$5 :LQG 3RZHU ,QWHJUDWLRQ LQ /LEHUDOLVHG (OHFWULFLW\\ 0DUNHWV  

E-Print Network [OSTI]

:,/0$5 Wind Power Integration in Liberalised Electricity Markets 1 :,/0$5 :LQG 3RZHU ,QWHJUDWLRQ a cost-effective integration of wind power in large liberalised electricity systems. The main recommendations concern reducing imbalances caused by wind power by bidding closer to delivery hour

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

The cost of balancing a parabolic trough concentrated solar power plant in the Spanish electricity spot markets  

Science Journals Connector (OSTI)

Abstract This study presents a new dispatch model (SCSP) for a CSP plant based on a dynamic programing algorithm. The purpose is to investigate the cost of balancing a CSP plant in the Spanish electricity market. Results are presented for a parabolic plant in the Spanish market for years 2009, 2010 and 2011 using solar availability data at the Plataforma Solar, Andalucia, Spain. The variation of balancing cost with solar multiple (SM) and number of storage hours (Nh) is analysed and results for two different optimisation cases presented. The first uses day-ahead forecasts for both solar availability and market prices. The second uses day-ahead solar availability and within-day market price forecasts. Both cases are settled in the balancing market. Key results include that the balancing cost decreases with increased SM and Nh and that balancing costs can be 2.2% to 9.5% of the plants gross income. For all SM and Nh, balancing costs are a function of season, being lower in summer than winter driven by increased load-factor in summer. During the year Quarter 3 has a lower balancing cost than Quarter 2 due to a closer match between forecast and actual solar availability. Optimising against within-day prices costs more than with day-ahead prices resulting from more balancing energy traded at a less favourable price than day-ahead. It is envisaged that the numbers presented in this study will provide an aid to policy makers when constructing tariffs to support future CSP development.

S.W. Channon; P.C. Eames

2014-01-01T23:59:59.000Z

442

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

443

Oklahoma Gas & Electric Co | Open Energy Information  

Open Energy Info (EERE)

Oklahoma Gas and Electric Company) Oklahoma Gas and Electric Company) Jump to: navigation, search Name Oklahoma Gas & Electric Co Place Oklahoma Utility Id 14063 Utility Location Yes Ownership I NERC Location SPP NERC SPP Yes RTO SPP Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] SGIC[3] 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 GS-1 (General Service) Commercial GS-TOU (General Service Time-Of-Use) Commercial

444

City of Burlington-Electric, Vermont (Utility Company) | Open Energy  

Open Energy Info (EERE)

Burlington-Electric, Vermont (Utility Company) Burlington-Electric, Vermont (Utility Company) Jump to: navigation, search Name City of Burlington-Electric Place Vermont Utility Id 2548 Utility Location Yes Ownership M NERC Location NPCC NERC NPCC Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] 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 Large General (LG) Rate Demand is less than 25KW- Net Metered Renewable

445

South Texas Electric Coop, Inc | Open Energy Information  

Open Energy Info (EERE)

South Texas Electric Coop, Inc South Texas Electric Coop, Inc Place Texas Utility Id 17583 Utility Location Yes Ownership C NERC Location TRE NERC ERCOT Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Wholesale Marketing 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 No rate schedules available. Average Rates No Rates Available References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=South_Texas_Electric_Coop,_Inc&oldid=411553

446

South Carolina Electric&Gas Co | Open Energy Information  

Open Energy Info (EERE)

Electric&Gas Co Electric&Gas Co Jump to: navigation, search Name South Carolina Electric&Gas Co Place South Carolina Utility Id 17539 Utility Location Yes Ownership I NERC Location SERC NERC SERC Yes RTO PJM Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] 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 16 (General Service Time-Of-Use) Commercial

447

Fitchburg Gas and Electric Light Company | Open Energy Information  

Open Energy Info (EERE)

Fitchburg Gas and Electric Light Company Fitchburg Gas and Electric Light Company Place New Hampshire Utility Id 6374 Utility Location Yes Ownership I NERC Location NPCC NERC NPCC Yes ISO NE Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Bundled Services Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] 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 No rate schedules available. Average Rates No Rates Available The following table contains monthly sales and revenue data for Fitchburg Gas and Electric Light Company (Massachusetts).

448

Connecticut Municipal Electric Energy Cooperative | Open Energy Information  

Open Energy Info (EERE)

Municipal Electric Energy Cooperative Municipal Electric Energy Cooperative Jump to: navigation, search Name Connecticut Mun Elec Engy Coop Place Norwich, Connecticut Utility Id 4180 Utility Location Yes Ownership A NERC Location NPCC NERC NPCC Yes ISO NE Yes Operates Generating Plant Yes Activity Generation Yes Activity Wholesale Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] SGIC[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Connecticut Municipal Electric Energy Cooperative Smart Grid Project was awarded $9,188,050 Recovery Act Funding with a total project value of $18,376,100. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates No Rates Available

449

Integrating Variable Renewable Energy in Electric Power Markets: Best Practices from International Experience (Fact Sheet)  

SciTech Connect (OSTI)

Many countries--reflecting very different geographies, markets, and power systems--are successfully managing high levels of variable renewable energy (RE) on the grid. Australia (South Australia), Denmark, Germany, Ireland, Spain, and the United States (Colorado and Texas), for example, have effectively integrated variable RE utilizing diverse approaches. Analysis of the results from these case studies reveals a wide range of mechanisms that can be used to accommodate high penetrations of variable RE (e.g., from new market designs to centralized planning). Nevertheless, the myriad approaches collectively suggest that governments can best enable variable RE grid integration by implementing best practices in five areas of intervention: lead public engagement, particularly for new transmission; coordinate and integrate planning; develop rules for market evolution that enable system flexibility; expand access to diverse resources and geographic footprint of operations; and improve system operations.

Not Available

2014-10-01T23:59:59.000Z

450

EV Everywhere: America’s Plug-In Electric Vehicle Market Charges Forward  

Office of Energy Efficiency and Renewable Energy (EERE)

Find out how the Energy Department, partnering with industry and national laboratories, is helping make plug-in electric vehicles more affordable and convenient for American families.

451

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

E-Print Network [OSTI]

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

Sirbu, Marvin

452

Energy & Environmental Benefits from Steam & Electricity Cogeneration  

E-Print Network [OSTI]

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

Ratheal, R.

2004-01-01T23:59:59.000Z

453

A multistage model for distribution expansion planning with distributed generation in a deregulated electricity market  

Science Journals Connector (OSTI)

Distribution systems management is becoming an increasingly complicated issue due to the introduction of new technologies, new energy trading strategies and a new deregulated environment. In the new deregulated energy market and considering the incentives ... Keywords: GAMS-MATLAB interface, distributed generation (DG), distribution company (DISCO), investment payback time, microturbine, social welfare

S. Porkar; A. Abbaspour-Tehrani-Fard; P. Poure; S. Saadate

2010-06-01T23:59:59.000Z

454

Consumer cost effectiveness of CO2 mitigation policies in restructured electricity markets  

Science Journals Connector (OSTI)

We examine the cost of carbon dioxide mitigation to consumers in restructured USA markets under two policy instruments, a carbon price and a renewable portfolio standard (RPS). To estimate the effect of policies on market clearing prices, we constructed hourly economic dispatch models of the generators in PJM and in ERCOT. We find that the cost effectiveness of policies for consumers is strongly dependent on the price of natural gas and on the characteristics of the generators in the dispatch stack. If gas prices are low (~$4/MMBTU), a technology-agnostic, rational consumer seeking to minimize costs would prefer a carbon price over an RPS in both regions. Expensive gas (~$7/MMBTU) requires a high carbon price to induce fuel switching and this leads to wealth transfers from consumers to low carbon producers. The RPS may be more cost effective for consumers because the added energy supply lowers market clearing prices and reduces CO2 emissions. We find that both policies have consequences in capacity markets and that the RPS can be more cost effective than a carbon price under certain circumstances: continued excess supply of capacity, retention of nuclear generators, and high natural gas prices.

Jared Moore; Jay Apt

2014-01-01T23:59:59.000Z

455

A Framework for Analyzing the Impact of Data Integrity/Quality on Electricity Market Operations  

E-Print Network [OSTI]

. The first part of this dissertation studies from a market participant’s perspective a new class of malicious data attacks on state estimation, which subsequently influences the result of the newly emerging look-ahead dispatch models in the real-time power...

Choi, Dae

2014-02-21T23:59:59.000Z

456

Salt Lake City Area Integrated Projects Electric Power Marketing. Draft environmental impact statement: Volume 2, Sections 1-16  

SciTech Connect (OSTI)

The Salt Lake City Area Office of the Western Area Power Administration (Western) markets electricity produced at hydroelectric facilities operated by the Bureau of Reclamation. The facilities are known collectively as the Salt Lake City Area Integrated Projects (SLCA/IP) and include dams equipped for power generation on the Green, Gunnison, Rio Grande, and Colorado rivers and on Deer and Plateau creeks in the states of Wyoming, Utah, Colorado, Arizona, and New Mexico. Of these facilities, only the Glen Canyon Unit, the Flaming Gorge Unit, and the Aspinall Unit (which includes Blue Mesa, Morrow Point, and Crystal dams;) are influenced by Western power scheduling and transmission decisions. The EIS alternatives, called commitment-level alternatives, reflect combinations of capacity and energy that would feasibly and reasonably fulfill Westerns firm power marketing responsibilities, needs, and statutory obligations. The viability of these alternatives relates directly to the combination of generation capability of the SLCA/IP with energy purchases and interchange. The economic and natural resource assessments in this environmental impact statement (EIS) include an analysis of commitment-level alternatives. Impacts of the no-action alternative are also assessed. Supply options, which include combinations of electrical power purchases and hydropower operational scenarios reflecting different operations of the dams, are also assessed. The EIS evaluates the impacts of these scenarios relative to socioeconomics, air resources, water resources, ecological resources, cultural resources, land use, recreation, and visual resources.

Not Available

1994-02-01T23:59:59.000Z

457

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

Broader source: Energy.gov [DOE]

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

458

Electricity Monthly Update  

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

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

459

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

460

Modelling start-up costs of multiple technologies in electricity markets  

Science Journals Connector (OSTI)

This paper deals with the dispatch problem in providing electric power with minimal costs using different technologies. Initially, we describe this problem in terms of a linear program. This enables us to take...

Ludwig Kuntz; Felix Müsgens

2007-08-01T23:59:59.000Z

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

Time and location differentiated NOX control in competitive electricity markets using cap-and-trade mechanisms  

E-Print Network [OSTI]

Due to variations in weather and atmospheric chemistry, the timing and location of nitrogen oxide (NOX) reductions determine their effectiveness in reducing ground-level ozone, which adversely impacts human health. Electric ...

Martin, Katherine C.

2007-01-01T23:59:59.000Z

462

Overview of the Electricity Market of Estonia and the Plausibility of Nuclear Energy Production  

Science Journals Connector (OSTI)

The Republic of Estonia is a small country in Northern Europe, with electrical energy production dependent mostly on oil shale. The local supply of oil shale has given Estonia its energetic independence but it...

Mariliis Lehtveer; Alan Tkaczyk

2010-01-01T23:59:59.000Z

463

Short-term load forecasting using generalized regression and probabilistic neural networks in the electricity market  

SciTech Connect (OSTI)

For the economic and secure operation of power systems, a precise short-term load forecasting technique is essential. Modern load forecasting techniques - especially artificial neural network methods - are particularly attractive, as they have the ability to handle the non-linear relationships between load, weather temperature, and the factors affecting them directly. A test of two different ANN models on data from Australia's Victoria market is promising. (author)

Tripathi, M.M.; Upadhyay, K.G.; Singh, S.N.

2008-11-15T23:59:59.000Z

464

An agent-based model to study market penetration of plug-in hybrid electric vehicles  

Science Journals Connector (OSTI)

A spatially explicit agent-based vehicle consumer choice model is developed to explore sensitivities and nonlinear interactions between various potential influences on plug-in hybrid vehicle (PHEV) market penetration. The model accounts for spatial and social effects (including threshold effects, homophily, and conformity) and media influences. Preliminary simulations demonstrate how such a model could be used to identify nonlinear interactions among potential leverage points, inform policies affecting PHEV market penetration, and help identify future data collection necessary to more accurately model the system. We examine sensitivity of the model to gasoline prices, to accuracy in estimation of fuel costs, to agent willingness to adopt the PHEV technology, to PHEV purchase price and rebates, to PHEV battery range, and to heuristic values related to gasoline usage. Our simulations indicate that PHEV market penetration could be enhanced significantly by providing consumers with ready estimates of expected lifetime fuel costs associated with different vehicles (e.g., on vehicle stickers), and that increases in gasoline prices could nonlinearly magnify the impact on fleet efficiency. We also infer that a potential synergy from a gasoline tax with proceeds is used to fund research into longer-range lower-cost PHEV batteries.

Margaret J. Eppstein; David K. Grover; Jeffrey S. Marshall; Donna M. Rizzo

2011-01-01T23:59:59.000Z

465

Application to export electric energy OE Docket No. EA-216-C TransAlta Energy Marketing (U.S) Inc: Federal Register Notice Volume 76, No. 14- Jan. 21, 2011  

Broader source: Energy.gov [DOE]

Application from TransAlta Energy Marketing (U.S) Inc to export electric energy to Canada.  Federal Register Notice Vol 76 No 14

466

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

SciTech Connect (OSTI)

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

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

1995-03-01T23:59:59.000Z

467

Preliminary Assessment of Plug-in Hybrid Electric Vehicles on Wind Energy Markets  

SciTech Connect (OSTI)

This report examines a measure that may potentially reduce oil use and also more than proportionately reduce carbon emissions from vehicles. The authors present a very preliminary analysis of plug-in hybrid electric vehicles (PHEVs) that can be charged from or discharged to the grid. These vehicles have the potential to reduce gasoline consumption and carbon emissions from vehicles, as well as improve the viability of renewable energy technologies with variable resource availability. This paper is an assessment of the synergisms between plug-in hybrid electric vehicles and wind energy. The authors examine two bounding cases that illuminate this potential synergism.

Short, W.; Denholm, P.

2006-04-01T23:59:59.000Z

468

Lincoln Electric System | Open Energy Information  

Open Energy Info (EERE)

System System (Redirected from LES) Jump to: navigation, search Name Lincoln Electric System Place Nebraska Utility Id 11018 Utility Location Yes Ownership M NERC Location MRO NERC MRO Yes RTO SPP Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] 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 1000 W Mercury Vapor- Security Light Lighting 150 W High Pressure Sodium - Security Light Lighting 175 W Mercury Vapor- Security Light Lighting

469

Cleveland Electric Illum Co | Open Energy Information  

Open Energy Info (EERE)

Illum Co Illum Co Jump to: navigation, search Name Cleveland Electric Illum Co Place Ohio Utility Id 3755 Utility Location Yes Ownership I NERC Location RFC NERC RFC Yes ISO MISO Yes Activity Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] 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 GS (General Service) Commercial RS (Residential Service) Residential Average Rates Residential: $0.0903/kWh Commercial: $0.1260/kWh Industrial: $0.0497/kWh Transportation: $0.0978/kWh

470

Bear Valley Electric Service | Open Energy Information  

Open Energy Info (EERE)

Service Service Jump to: navigation, search Name Bear Valley Electric Service Place California Utility Id 17612 Utility Location Yes Ownership I NERC Location WECC NERC WECC Yes Operates Generating Plant Yes Activity Generation Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing 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 A-1 General Service, less than 20 kW A-1 General Service, less than 20 kW - Direct Access Commercial A-2 General Service, 20 to 50 kW A-2 General Service, 20 to 50 kW - Direct Access A-3 General Service, more than 50 kW Commercial

471

NSTAR Electric Company | Open Energy Information  

Open Energy Info (EERE)

(Redirected from Boston Edison Company) (Redirected from Boston Edison Company) Jump to: navigation, search Name NSTAR Electric Company Place Norfolk, Massachusetts Service Territory Massachusetts Website www.nstar.com/residential Green Button Landing Page www.nstar.com/residential Green Button Reference Page www.nstar.com/ss3/nstar_n Green Button Implemented Yes Utility Id 54913 Utility Location Yes Ownership I NERC Location NPCC NERC NPCC Yes ISO NE Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] SGIC[2] Energy Information Administration Form 826[3] LinkedIn Connections CrunchBase Profile No CrunchBase profile.

472

NSTAR Electric Company | Open Energy Information  

Open Energy Info (EERE)

Place Norfolk, Massachusetts Place Norfolk, Massachusetts Service Territory Massachusetts Website www.nstar.com/residential Green Button Landing Page www.nstar.com/residential Green Button Reference Page www.nstar.com/ss3/nstar_n Green Button Implemented Yes Utility Id 54913 Utility Location Yes Ownership I NERC Location NPCC NERC NPCC Yes ISO NE Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] SGIC[2] Energy Information Administration Form 826[3] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. NSTAR Electric Company Smart Grid Project was awarded $10,061,883 Recovery

473

Southwestern Electric Power Co | Open Energy Information  

Open Energy Info (EERE)

(Redirected from SWEPCO) (Redirected from SWEPCO) Jump to: navigation, search Name Southwestern Electric Power Co Place Ohio Service Territory Arkansas, Louisiana, Texas Website www.swepco.com Green Button Reference Page www.aep.com/newsroom/news Green Button Committed Yes Utility Id 17698 Utility Location Yes Ownership I NERC Location SPP NERC SPP Yes RTO SPP Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it.

474

Union Electric Co | Open Energy Information  

Open Energy Info (EERE)

Ameren Missouri) Ameren Missouri) Jump to: navigation, search Name Union Electric Co Place Missouri Utility Id 19436 Utility Location Yes Ownership I NERC Location SERC NERC SERC Yes ISO MISO Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] 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 1(M) Residential Service Rate Residential 1(M)TOD-Residential Time Of Day Residential 2(M)-TOD Small General Service Time of Day 3 phase Commercial

475

Analysis of Residential Demand Response and Double-Auction Markets  

SciTech Connect (OSTI)

Demand response and dynamic pricing programs are expected to play increasing roles in the modern Smart Grid environment. While direct load control of end-use loads has existed for decades, price driven response programs are only beginning to be explored at the distribution level. These programs utilize a price signal as a means to control demand. Active markets allow customers to respond to fluctuations in wholesale electrical costs, but may not allow the utility to control demand. Transactive markets, utilizing distributed controllers and a centralized auction can be used to create an interactive system which can limit demand at key times on a distribution system, decreasing congestion. With the current proliferation of computing and communication resources, the ability now exists to create transactive demand response programs at the residential level. With the combination of automated bidding and response strategies coupled with education programs and customer response, emerging demand response programs have the ability to reduce utility demand and congestion in a more controlled manner. This paper will explore the effects of a residential double-auction market, utilizing transactive controllers, on the operation of an electric power distribution system.

Fuller, Jason C.; Schneider, Kevin P.; Chassin, David P.

2011-10-10T23:59:59.000Z

476

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.

477

Clean Energy State Program Guide: Mainstreaming Solar Electricity Strategies for States to Build Local Markets  

Broader source: Energy.gov [DOE]

A PV mapping tool visually represents a specific site and calculates PV system size and projected electricity production. This report identifies the commercially available solar mapping tools and thoroughly summarizes the source data type and resolution, the visualization software program being used, user inputs, calculation methodology and algorithms, map outputs, and development costs for each map.

478

Dynamic Efficiency and the Regulated Firm: Evidence from Interfirm Trade in Electricity Markets  

E-Print Network [OSTI]

PWP-033 Dynamic Efficiency and the Regulated Firm: Evidence from Interfirm Trade in Electricity 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

California at Berkeley. University of

479

EIS-0150: Salt Lake City Area Integrated Projects Electric Power Marketing  

Broader source: Energy.gov [DOE]

The Western Area Power Administration prepared this environmental impact statement to analyze the environmental impacts of its proposal to establish the level of its commitment (sales) of long- term firm electrical capacity and energy from the Salt Lake City Area Integrated Projects hydroelectric power plants.

480

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

Science Journals Connector (OSTI)

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

Petter Skantze; Marija Ilic; Andrej Gubina

2004-10-01T23:59:59.000Z

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

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

482

Wind offering strategy in the Australian National Electricity Market: A two-step plan considering demand response  

Science Journals Connector (OSTI)

Abstract This paper proposes an energy offering strategy for wind power producers. A new trading plan is presented through which a wind power producer can employ demand response (DR) to maximize its profit. To consider DR, a new DR scheme is developed here. The proposed plan includes two steps: The first step takes place on a day-ahead basis. The corresponding decisions involve an initial offering schedule and preliminary DR arrangements for the following day. The second step coincides with the day of the energy delivery. A consecutive approach is proposed in which the wind power producer determines its final energy offer during each trading interval. Simultaneously, the required DR agreements for that interval are also confirmed. This approach is repeated until all periods of the day are covered. The proposed plan is formulated as a stochastic programming approach, where its feasibility is evaluated on a case of the Australian National Electricity Market (NEM).

Nadali Mahmoudi; Tapan K. Saha; Mehdi Eghbal

2015-01-01T23:59:59.000Z

483

A Supply Chain Network Perspective for Electric  

E-Print Network [OSTI]

as of December 1, 2003, there were 1310 companies eligible to sell wholesale power at market-based rates, And in many other countries The dramatic increase in the number of market participants In the US alone for granted as the industry restructures, and thus does not fall through the cracks" (Secretary of Energy

Nagurney, Anna

484

EA-264 ENMAX Energy Marketing Inc | Department of Energy  

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

ENMAX Energy Marketing Inc EA-264 ENMAX Energy Marketing Inc Order authorizing ENMAX Energy Marketing Inc to export electric energy to Canada. EA-264 ENMAX Energy Marketing Inc...

485

EA-280 Direct Energy Marketing Inc | Department of Energy  

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

Direct Energy Marketing Inc EA-280 Direct Energy Marketing Inc Order authorizing Direct Energy Marketing Inc to export electric energy to Canada. EA-280 Direct Energy Marketing...

486

EA-147-A Aquila Marketing Corporation | Department of Energy  

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

7-A Aquila Marketing Corporation EA-147-A Aquila Marketing Corporation Order authorizing Aquila Marketing Corporation to export electric energy to Mexico. EA-147-A Aquila Marketing...

487

EA-318 CSW Power Marketing | Department of Energy  

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

CSW Power Marketing EA-318 CSW Power Marketing Order authorizing CSW Power Marketing to export electric energy to Mexico EA-318 CSW Power Marketing More Documents & Publications...

488

EA-148-A Aquila Marketing Corporation | Department of Energy  

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

8-A Aquila Marketing Corporation EA-148-A Aquila Marketing Corporation Order authorizing Aquila Marketing Corporation to export electric energy to Canada. EA-148-A Aquila Marketing...

489

Salt Lake City Area Integrated Projects Electric Power Marketing Final Environmental Impact Statement  

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

Summary.html[6/24/2011 3:03:56 PM] Summary.html[6/24/2011 3:03:56 PM] SUMMARY S.1 DESCRIPTION OF THE PROPOSED ACTION The Western Area Power Administration (Western) proposes to establish the level of its commitment (sales) of long- term firm electrical capacity and energy from the Salt Lake City Area Integrated Projects (SLCA/IP) hydroelectric power plants. Power generated by the SLCA/IP facilities or purchased by Western from other sources is provided to Western's customers under contracts that establish the terms for how capacity (generation capacity) and energy (quantity of electrical energy) are to be sold. The contracts also specify amounts of capacity and energy that Western agrees to offer for long-term (greater than 12 months) sale to its customers. These amounts constitute Western's

490

Approach to market-penetration analysis for advanced electric-power-generation technologies  

SciTech Connect (OSTI)

If commercialization of new technologies is the primary objective of the Department of Energy's Research, Development and Demonstration (RD and D) programs, the ultimate measure of benefit from RD and D programs is the extent of commercial acceptance of the developed technologies. Uncertainty about barriers to commercialization - government policy, fuel supply, etc. - make the task of estimating this acceptance very difficult. However, given that decisions must be made regarding allocation of RD and D funds, the best information available, with due regard for uncertainty, should serve as input to these decisions. An approach is presented for quantifying the range of market potential for new technologies (specifically in the utility sector) based on historical information and known plans for the future.

Lamontagne, J.; Love, P.; Queirolo, A.

1980-12-01T23:59:59.000Z

491
492

Resolution in Support of Customer "Right-to-Know" and Product Labeling Standards for the Retail Marketing of Electricity  

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

Resolution in Support of Customer Resolution in Support of Customer "Right-to-Know" and Product Labeling Standards for the Retail Marketing of Electricity WHEREAS, At least 30 million consumers in six States will begin choosing among competitive electricity providers in early 1998 and retail access to competing electricity suppliers is under consideration in many other states; and WHEREAS, Electricity purchases make up a significant portion of the budget of many households; and WHEREAS, The production of electricity imposes very substantial resource and environmental impacts; and WHEREAS, Pilot retail access programs have shown that customer confusion and misleading claims are highly likely; and WHEREAS, Clear and uniform disclosure may promote efficiency through informed product comparisons; and informed customer choice cannot occur in a retail electricity

493

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

494

New Approach to Determine the Need for Operating Reserves in Electricity Markets with Wind Power  

Broader source: Energy.gov [DOE]

The amount of wind power in current electricity supply portfolios around the world is rapidly increasing. To help ensure the power system's reliability and adequacy, grid operators are actively pursuing the development of new rules that fully consider the characteristics of wind power with its variability and forecasting errors. In an article published in the January 2013 issue of IEEE Transactions on Power Systems, researchers at DOE's Argonne National Laboratory are proposing a new concept for operating reserves to help address the challenges of incorporating larger quantities of renewable energy resources into the nation's power grid.

495

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

Open Energy Info (EERE)

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

496

Abstract--The adequacy problem in electricity market is becoming a very important issue as there is neither theoretical  

E-Print Network [OSTI]

such as capacity markets/payments, the new method based on auction concepts arises as a parallel alternative

Catholic University of Chile (Universidad CatĂłlica de Chile)

497

Electric car Gasoline car  

E-Print Network [OSTI]

ENAC/ Electric car (Renault) Gasoline car (competitors) Gasoline car (Renault) Market shares of an electric vehicle? Electric car (Renault) Gasoline car (competitors) Gasoline car (Renault) Market shares preference survey with choice situation contexts involving gasoline cars (Renault and competitors

498

A Market-Based Mechanism for Providing Demand-Side Regulation Service Ioannis Ch. Paschalidis, Binbin Li, Michael C. Caramanis  

E-Print Network [OSTI]

obligation of fast response to commands issued by the wholesale market Independent System Operator (ISO) who provides energy and purchases reserves. The proposed market-based mechanism allows the SMO to control, and command market clearing prices comparable to the price of energy, an increase in RS requirements without

Caramanis, Michael

499

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

E-Print Network [OSTI]

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

500

2007 Wholesale Power Rate Case Initial Proposal : Direct Testimony.  

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

2005-11-01T23:59:59.000Z