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


1

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

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

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

2

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

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

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

3

High Temperatures & Electricity Demand  

E-Print Network [OSTI]

High Temperatures & Electricity Demand An Assessment of Supply Adequacy in California Trends.......................................................................................................1 HIGH TEMPERATURES AND ELECTRICITY DEMAND.....................................................................................................................7 SECTION I: HIGH TEMPERATURES AND ELECTRICITY DEMAND ..........................9 BACKGROUND

4

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

4 End Uses of Fuel Consumption, 2006; 4 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

5

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 5.3 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS for Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3

6

electricity demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity consumption and demand datasets, specifically: annual observed electricity consumption by sector (1974 to 2009); observed percentage of consumers by sector (2002 - 2009); and regional electricity demand, as a percentage of total demand (2009). Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago) Keywords Electricity Consumption electricity demand energy use by sector New Zealand Data application/vnd.ms-excel icon Electricity Consumption by Sector (1974 - 2009) (xls, 46.1 KiB) application/vnd.ms-excel icon Percentage of Consumers by Sector (2002 - 2009) (xls, 43.5 KiB)

7

EIA - AEO2010 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Demand Electricity Demand Annual Energy Outlook 2010 with Projections to 2035 Electricity Demand Figure 69. U.S. electricity demand growth 1950-2035 Click to enlarge » Figure source and data excel logo Figure 60. Average annual U.S. retail electricity prices in three cases, 1970-2035 Click to enlarge » Figure source and data excel logo Figure 61. Electricity generation by fuel in three cases, 2008 and 2035 Click to enlarge » Figure source and data excel logo Figure 62. Electricity generation capacity additions by fuel type, 2008-2035 Click to enlarge » Figure source and data excel logo Figure 63. Levelized electricity costs for new power plants, 2020 and 2035 Click to enlarge » Figure source and data excel logo Figure 64. Electricity generating capacity at U.S. nuclear power plants in three cases, 2008, 2020, and 2035

8

Electric Utility Demand-Side Evaluation Methodologies  

E-Print Network [OSTI]

"::. ELECTRIC UTILITY DEMAND-SIDE EVALUATION METHODOLOGIES* Nat Treadway Public Utility Commission of Texas Austin, Texas ABSTRACT The electric. util ity industry's demand-side management programs can be analyzed ?from various points... of view using a standard benefit-cost methodology. The methodology now in use by several. electric utilities and the Public Utility Commlsslon of Texas includes measures of efficiency and equity. The nonparticipant test as a measure of equity...

Treadway, N.

9

Option Value of Electricity Demand Response  

E-Print Network [OSTI]

Table 1. Economic demand response and real time pricing (Implications of Demand Response Programs in CompetitiveAdvanced Metering, and Demand Response in Electricity

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

2005-01-01T23:59:59.000Z

10

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

Figure 34. Regional electricity cost duration curves in 2010especially focus on electricity costs and grid compositionrelatively higher electricity costs. If electricity demand

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

11

SUMMER 2007 ELECTRICITY SUPPLY AND DEMAND OUTLOOK  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION SUMMER 2007 ELECTRICITY SUPPLY AND DEMAND OUTLOOK DRAFTSTAFFREPORT May ELECTRICITY ANALYSIS OFFICE Sylvia Bender Acting Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION B. B assessment of the capability of the physical electricity system to provide power to meet electricity demand

12

Electricity Demand and Energy Consumption Management System  

E-Print Network [OSTI]

This project describes the electricity demand and energy consumption management system and its application to the Smelter Plant of Southern Peru. It is composted of an hourly demand-forecasting module and of a simulation component for a plant electrical system. The first module was done using dynamic neural networks, with backpropagation training algorithm; it is used to predict the electric power demanded every hour, with an error percentage below of 1%. This information allows management the peak demand before this happen, distributing the raise of electric load to other hours or improving those equipments that increase the demand. The simulation module is based in advanced estimation techniques, such as: parametric estimation, neural network modeling, statistic regression and previously developed models, which simulates the electric behavior of the smelter plant. These modules allow the proper planning because it allows knowing the behavior of the hourly demand and the consumption patterns of the plant, in...

Sarmiento, Juan Ojeda

2008-01-01T23:59:59.000Z

13

Electricity demand analysis - unconstrained vs constrained scenarios  

Science Journals Connector (OSTI)

In India, the electricity systems are chronically constrained by shortage of both capital and energy resources. These result in rationing and interruptions of supply with a severely disrupted electricity usage pattern. From this background, we try to analyse the demand patterns with and without resource constraints. Accordingly, it is necessary to model appropriately the dynamic nature of electricity demand, which cannot be captured by methods like annual load duration curves. Therefore, we use the concept - Representative Load Curves (RLCs) - to model the temporal and structural variations in demand. As a case study, the electricity system of the state of Karnataka in India is used. Four years demand data, two unconstrained and two constrained, are used and RLCs are developed using multiple discriminant analysis. It is found that these RLCs adequately model the variations in demand and bring out distinctions between unconstrained and constrained demand patterns. The demand analysis attempted here helped to study the differences in demand patterns with and without constraints, and the success of rationing measures in reducing demand levels as well as greatly disrupting the electricity usage patterns. Multifactor ANOVA analyses are performed to find out the statistical significance of the ability of logically obtained factors in explaining overall variations in demand. The results showed that the factors that are taken into consideration accounted for maximum variations in demand at very high significance levels.

P. Balachandra; V. Chandru; M.H. Bala Subrahmanya

2003-01-01T23:59:59.000Z

14

EIA - Annual Energy Outlook 2008 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Demand Electricity Demand Annual Energy Outlook 2008 with Projections to 2030 Electricity Demand Figure 60. Annual electricity sales by sector, 1980-2030 (billion kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 61. Electricity generation by fuel, 2006 and 2030 (billion kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. figure data Residential and Commercial Sectors Dominate Electricity Demand Growth Total electricity sales increase by 29 percent in the AEO2008 reference case, from 3,659 billion kilowatthours in 2006 to 4,705 billion in 2030, at an average rate of 1.1 percent per year. The relatively slow growth follows the historical trend, with the growth rate slowing in each succeeding

15

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

Designing Markets for Electricity, Wiley-IEEE Press. CEC (in Major Drivers in U.S. Electricity Markets, NREL/CP-620-and fuel efficiency and electricity demand assumptions used

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

16

Innovative and Progressive Electric Utility Demand-Side Management Strategies  

E-Print Network [OSTI]

to as Demand-Side Management (DSM) and are extremely rigorous in scope. Electric utilities have pursued many different DSM policies and strategies during the past decade. These programs have addressed various technologies and have included rebates for efficient...

Epstein, G. J.; Fuller, W. H.

17

Demand Response and Electric Grid Reliability  

E-Print Network [OSTI]

Demand Response and Electric Grid Reliability Paul Wattles Senior Analyst, Market Design & Development, ERCOT CATEE Conference, Galveston October 10, 2012 2 North American Bulk Power Grids CATEE Conference October 10, 2012 ? The ERCOT... adequacy ? ?Achieving more DR participation would . . . displace some generation investments, but would achieve the same level of reliability... ? ?Achieving this ideal requires widespread demand response and market structures that enable loads...

Wattles, P.

2012-01-01T23:59:59.000Z

18

Utility Sector Impacts of Reduced Electricity Demand  

SciTech Connect (OSTI)

This report presents a new approach to estimating the marginal utility sector impacts associated with electricity demand reductions. The method uses publicly available data and provides results in the form of time series of impact factors. The input data are taken from the Energy Information Agency's Annual Energy Outlook (AEO) projections of how the electric system might evolve in the reference case, and in a number of side cases that incorporate different effciency and other policy assumptions. The data published with the AEO are used to define quantitative relationships between demand-side electricity reductions by end use and supply-side changes to capacity by plant type, generation by fuel type and emissions of CO2, Hg, NOx and SO2. The impact factors define the change in each of these quantities per unit reduction in site electricity demand. We find that the relative variation in these impacts by end use is small, but the time variation can be significant.

Coughlin, Katie

2014-12-01T23:59:59.000Z

19

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

20

Tool Improves Electricity Demand Predictions to Make More Room...  

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

Tool Improves Electricity Demand Predictions to Make More Room for Renewables Tool Improves Electricity Demand Predictions to Make More Room for Renewables October 3, 2011 -...

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


21

Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices  

DOE Patents [OSTI]

Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices are described. In one aspect, an electrical power distribution control method includes providing electrical energy from an electrical power distribution system, applying the electrical energy to a load, providing a plurality of different values for a threshold at a plurality of moments in time and corresponding to an electrical characteristic of the electrical energy, and adjusting an amount of the electrical energy applied to the load responsive to an electrical characteristic of the electrical energy triggering one of the values of the threshold at the respective moment in time.

Chassin, David P. (Pasco, WA); Donnelly, Matthew K. (Kennewick, WA); Dagle, Jeffery E. (Richland, WA)

2006-12-12T23:59:59.000Z

22

New Zealand Energy Data: Electricity Demand and Consumption | OpenEI  

Open Energy Info (EERE)

Electricity Demand and Consumption Electricity Demand and Consumption Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity consumption and demand datasets, specifically: annual observed electricity consumption by sector (1974 to 2009); observed percentage of consumers by sector (2002 - 2009); and regional electricity demand, as a percentage of total demand (2009). The sectors included are: agriculture, forestry and fishing; industrial (mining, food processing, wood and paper, chemicals, basic metals, other minor sectors); commercial; and residential. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago)

23

What is a High Electric Demand Day?  

Broader source: Energy.gov [DOE]

This presentation by T. McNevin of the New Jersey Bureau of Air Quality Planning was part of the July 2008 Webcast sponsored by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Weatherization and Intergovernmental Program Clean Energy and Air Quality Integration Initiative that was titled Role of Energy Efficiency and Renewable Energy in Improving Air Quality and Addressing Greenhouse Gas Reduction Goals on High Electric Demand Days.

24

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

of control. Water heater demand response options are notcurrent water heater and air conditioning demand responsecustomer response Demand response water heater participation

Levy, Roger

2014-01-01T23:59:59.000Z

25

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

Like HECO actual utility demand response implementations canindustry-wide utility demand response applications tend toobjective. Figure 4. Demand Response Objectives 17

Levy, Roger

2014-01-01T23:59:59.000Z

26

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

with residential electric resistance water heater solar system backup electric resistance water heaters. Anheaters require electric resistance backup water heaters.

Levy, Roger

2014-01-01T23:59:59.000Z

27

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 Massouli´e 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

28

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

29

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...

30

Electricity demand as frequency controlled reserves, ENS (Smart...  

Open Energy Info (EERE)

ENS (Smart Grid Project) Jump to: navigation, search Project Name Electricity demand as frequency controlled reserves, ENS Country Denmark Coordinates 56.26392, 9.501785...

31

Electricity demand as frequency controlled reserves, ForskEL...  

Open Energy Info (EERE)

ForskEL (Smart Grid Project) Jump to: navigation, search Project Name Electricity demand as frequency controlled reserves, ForskEL Country Denmark Coordinates 56.26392,...

32

Topics in Residential Electric Demand Response.  

E-Print Network [OSTI]

??Demand response and dynamic pricing are touted as ways to empower consumers, save consumers money, and capitalize on the smart grid and expensive advanced meter (more)

Horowitz, Shira R.

2012-01-01T23:59:59.000Z

33

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.

34

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

energy storage and demand management can complement solarwith energy storage to firm the resource, or solar thermaland solar generation. And demand response or energy storage

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

35

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)

36

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

widely differing control technologies, notification options,Electric Reliability Technology, LBNL, Joseph Eto E. Availability F. Technology Proposed Residential Large

Levy, Roger

2014-01-01T23:59:59.000Z

37

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

38

Electric Water Heater Modeling and Control Strategies for Demand Response  

SciTech Connect (OSTI)

Abstract Demand response (DR) has a great potential to provide balancing services at normal operating conditions and emergency support when a power system is subject to disturbances. Effective control strategies can significantly relieve the balancing burden of conventional generators and reduce investment on generation and transmission expansion. This paper is aimed at modeling electric water heaters (EWH) in households and tests their response to control strategies to implement DR. The open-loop response of EWH to a centralized signal is studied by adjusting temperature settings to provide regulation services; and two types of decentralized controllers are tested to provide frequency support following generator trips. EWH models are included in a simulation platform in DIgSILENT to perform electromechanical simulation, which contains 147 households in a distribution feeder. Simulation results show the dependence of EWH response on water heater usage . These results provide insight suggestions on the need of control strategies to achieve better performance for demand response implementation. Index Terms Centralized control, decentralized control, demand response, electrical water heater, smart grid

Diao, Ruisheng; Lu, Shuai; Elizondo, Marcelo A.; Mayhorn, Ebony T.; Zhang, Yu; Samaan, Nader A.

2012-07-22T23:59:59.000Z

39

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.

40

Implications of Low Electricity Demand Growth  

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

Conference July 14, 2014 | Washington, DC Jim Diefenderfer, Director, Office of Electricity, Coal, Nuclear, & Renewables Analysis U.S. Energy Information Administration...

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


41

U.S. electric utility demand-side management 1995  

SciTech Connect (OSTI)

The US Electric Utility Demand-Side Management report is prepared by the Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternative Fuels; Energy Information Administration (EIA); US Department of Energy. The report presents comprehensive information on electric power industry demand-side management (DSM) activities in the US at the national, regional, and utility levels. The objective of the publication is to provide industry decision makers, government policy makers, analysts, and the general public with historical data that may be used in understanding DSM as it relates to the US electric power industry. The first chapter, ``Profile: US Electric Utility Demand-Side Management``, presents a general discussion of DSM, its history, current issues, and a review of key statistics for the year. Subsequent chapters present discussions and more detailed data on energy savings, peak load reductions and costs attributable to DSM. 9 figs., 24 tabs.

NONE

1997-01-01T23:59:59.000Z

42

The Impact of Climate Change on Electricity Demand in Thailand  

E-Print Network [OSTI]

Climate change is expected to lead to changes in ambient temperature, wind speed, humidity, precipitation and cloud cover. As electricity demand is closely influenced by these climatic variables, there is likely to be ...

Parkpoom, Suchao Jake

2008-01-01T23:59:59.000Z

43

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

44

The residential demand for electricity in New England,  

E-Print Network [OSTI]

The residential demand for electricity, studied on the national level for many years, is here investigated on the regional level. A survey of the literature is first presented outlining past econometric work in the field ...

Levy, Paul F.

1973-01-01T23:59:59.000Z

45

Electricity demand, GDP and employment: evidence from Italy  

Science Journals Connector (OSTI)

This paper applies time series methodologies to examine the causal relationship among electricity demand, real per capita GDP and total labor force for Italy from 1970 to 2009. After a brief introduction, a su...

Cosimo Magazzino

2014-03-01T23:59:59.000Z

46

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

problems, Electric Power Systems Research, 73(2): p. 169-problems, Electric Power Systems Research, 77(3-4): p. 212-decomposition, Electric Power Systems Research, 77(7): p.

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

47

Electricity demand and supply projections for Indian economy  

Science Journals Connector (OSTI)

The present paper deals with an econometric model to forecast future electricity requirements for various sectors of Indian economy. Following the analysis of time series of sectoral GDPs, number of consumers in various sectors and price indices of electricity, a logarithmic linear regression model has been developed to forecast long-term demand of electricity up to the year 2045. Using the historical GDP growth in various sectors and the corresponding electricity consumption for the period 1971-2005, it is predicted that the total electricity demand will be 5000 billion kWh, against a supply of 1500 billion kWh in the year 2045. This may lead to a disastrous situation for the country unless drastic policy measures are taken to improve the supply side as well as to reduce demand.

Subhash Mallah; N.K. Bansal

2009-01-01T23:59:59.000Z

48

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

49

Sixth Northwest Conservation and Electric Power Plan Appendix C: Demand Forecast  

E-Print Network [OSTI]

Sixth Northwest Conservation and Electric Power Plan Appendix C: Demand Forecast Energy Demand ........................................................................ 28 Possible Future Trends for Plug-in Hybrid Electric Vehicles .............................................................. 23 Electricity Demand Growth in the West

50

U.S. electric utility demand-side management 1996  

SciTech Connect (OSTI)

The US Electric Utility Demand-Side Management report presents comprehensive information on electric power industry demand-side management (DSM) activities in the US at the national, regional, and utility levels. The objective of the publication is to provide industry decision makers, government policy makers, analysts, and the general public with historical data that may be used in understanding DSM as it related to the US electric power industry. The first chapter, ``Profile: U.S. Electric Utility Demand-Side Management,`` presents a general discussion of DSM, its history, current issues, and a review of key statistics for the year. Subsequent chapters present discussions and more detailed data on energy savings, peak load reductions and costs attributable to DSM. 9 figs., 24 tabs.

NONE

1997-12-01T23:59:59.000Z

51

Sixth Northwest Conservation and Electric Power Plan Appendix H: Demand Response  

E-Print Network [OSTI]

Sixth Northwest Conservation and Electric Power Plan Appendix H: Demand Response Introduction..................................................................................................................................... 1 Demand Response in the Council's Fifth Power Plan......................................................................................................................... 3 Estimate of Potential Demand Response

52

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

53

Statewide Electricity and Demand Capacity Savings from the Implementation of IECC Code in Texas: Analysis for Single-Family Residences  

E-Print Network [OSTI]

This paper presents estimates of the statewide electricity and electric demand savings achieved from the adoption of the International Energy Conservation Code (IECC) for single-family residences in Texas and includes the corresponding increase...

Kim, H.; Baltazar, J.C.; Haberl, J.

2011-01-01T23:59:59.000Z

54

Demand or No Demand: Electrical Rates for Standard 90.1-2010  

SciTech Connect (OSTI)

ASHRAE is developing the 2010 version of Standard 90.1 with the goal of reaching 30% savings beyond the 2004 edition of the standard. Economics are used to inform the process of setting criteria and the assumed electricity rates are crucial to these calculations. Previously the committee used national average electrical rates in the criteria setting but recently a number of voices have been heard in support of using demand rates instead. This article explores the issues surrounding the use of a pure consumption rate vs. the use of demand rates and looks at the implications for HVAC equipment efficiency.

Jarnagin, Ronald E.; McBride, Merle F.; Trueman, Cedric; Liesen, Richard J.

2008-04-30T23:59:59.000Z

55

Electricity demand as frequency controlled reserves, ENS (Smart Grid  

Open Energy Info (EERE)

Electricity demand as frequency controlled reserves, ENS (Smart Grid Electricity demand as frequency controlled reserves, ENS (Smart Grid Project) Jump to: navigation, search Project Name Electricity demand as frequency controlled reserves, ENS Country Denmark Coordinates 56.26392°, 9.501785° 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":56.26392,"lon":9.501785,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

56

Progress towards Managing Residential Electricity Demand: Impacts of  

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

Progress towards Managing Residential Electricity Demand: Impacts of Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India Title Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India Publication Type Conference Paper Refereed Designation Unknown LBNL Report Number LBNL-2322E Year of Publication 2009 Authors McNeil, Michael A., and Maithili Iyer Date Published 06/2009 Keywords Air Conditioners, Appliance Efficiency, appliance energy efficiency, energy efficiency, greenhouse gas emissions, india, Labels, MEPS, refrigerators, Standards and labeling URL https://isswprod.lbl.gov/library/view-docs/public/output/rpt77250.PDF Refereed Designation Unknown Attachment Size

57

United States/Mexico electricity trade study. [Glossary included  

SciTech Connect (OSTI)

During energy discussions between the United States and Mexico, it was suggested that the two countries revisit the issue of enhanced electricity trade because 10 years had elapsed since this issue was first studied. Responsibility to organize the updated study was jointly assigned to the US and to the Comision Federal de Electricidad (CFE). The study highlights the opportunities for increased cooperation among the electric utilities in the U.S. and Mexico. Direct benefits could include increased reliability of electric power service and cost savings through diversity of peak demand patterns and locational benefits associated with the siting of new generation sources. Indirect benefits could include improved economic and employment opportunities, especially in the border areas of both countries. While the study indicates that increased electricity trade is possible, there are significant technical and economic issues to consider. Any major increase in electricity trade would require a higher level of cooperation and coordination among utilities in both countries and would need to be preceded by a detailed analysis of associated benefits and costs (including environmental impacts) on both a short-term and a long-term basis. Whether US utilities and CFE decide to pursue specific projects will depend upon the need for and economics of those projects. The study recommends that the work begun by the two utility groups be continued. The study also recommends that regulators at all levels consider policies to increase coordination and review among all relevant parties so that unnecessary delays in planning and constructing needed facilities are avoided. 12 figs., 17 tabs.

Not Available

1991-03-01T23:59:59.000Z

58

\\{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

59

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

Palm Springs solar insolation, and California electricityConcentrating Solar Power in California, NREL/SR-550-39291,generation from wind and solar in California could be very

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

60

Distributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost  

E-Print Network [OSTI]

is to perform demand side management (DSM) [1], which aims at matching the consum- ers' electricity demand between electricity consumption and generation. On the consumption side, electric demand ramps upDistributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost Siyu Yue

Pedram, Massoud

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


61

Climate, extreme heat, and electricity demand in California  

SciTech Connect (OSTI)

Climate projections from three atmosphere-ocean climate models with a range of low to mid-high temperature sensitivity forced by the Intergovernmental Panel for Climate Change SRES higher, middle, and lower emission scenarios indicate that, over the 21st century, extreme heat events for major cities in heavily air-conditioned California will increase rapidly. These increases in temperature extremes are projected to exceed the rate of increase in mean temperature, along with increased variance. Extreme heat is defined here as the 90 percent exceedance probability (T90) of the local warmest summer days under the current climate. The number of extreme heat days in Los Angeles, where T90 is currently 95 F (32 C), may increase from 12 days to as many as 96 days per year by 2100, implying current-day heat wave conditions may last for the entire summer, with earlier onset. Overall, projected increases in extreme heat under the higher A1fi emission scenario by 2070-2099 tend to be 20-30 percent higher than those projected under the lower B1 emission scenario, ranging from approximately double the historical number of days for inland California cities (e.g. Sacramento and Fresno), up to four times for previously temperate coastal cities (e.g. Los Angeles, San Diego). These findings, combined with observed relationships between high temperature and electricity demand for air-conditioned regions, suggest potential shortfalls in transmission and supply during T90 peak electricity demand periods. When the projected extreme heat and peak demand for electricity are mapped onto current availability, maintaining technology and population constant only for demand side calculations, we find the potential for electricity deficits as high as 17 percent. Similar increases in extreme heat days are suggested for other locations across the U.S. southwest, as well as for developing nations with rapidly increasing electricity demands. Electricity response to recent extreme heat events, such as the July 2006 heat wave in California, suggests that peak electricity demand will challenge current supply, as well as future planned supply capacities when population and income growth are taken into account.

Miller, N.L.; Hayhoe, K.; Jin, J.; Auffhammer, M.

2008-04-01T23:59:59.000Z

62

THE ROLE OF BUILDING TECHNOLOGIES IN REDUCING AND CONTROLLING PEAK ELECTRICITY DEMAND  

E-Print Network [OSTI]

LBNL-49947 THE ROLE OF BUILDING TECHNOLOGIES IN REDUCING AND CONTROLLING PEAK ELECTRICITY DEMAND? ..................................... 8 What are the seasonal aspects of electric peak demand?............................ 9 What because of the California electricity crisis (Borenstein 2001). Uncertainties surrounding the reliability

63

Ancillary Service Revenue Opportunities from Electric Vehicles via Demand Response.  

E-Print Network [OSTI]

??Driven by a variety of factors including falling costs, environmental impacts, and state mandates, the integration of renewable energy on the U. S. electrical grid (more)

Moss, Brian

2011-01-01T23:59:59.000Z

64

Table 11.2 Electricity: Components of Net Demand, 2010;  

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

2 Electricity: Components of Net Demand, 2010; 2 Electricity: Components of Net Demand, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Electricity Components; Unit: Million Kilowatthours. Sales and Net Demand Economic Total Onsite Transfers for Characteristic(a) Purchases Transfers In(b) Generation(c) Offsite Electricity(d) Total United States Value of Shipments and Receipts (million dollars) Under 20 91,909 Q 1,406 194 93,319 20-49 86,795 81 2,466 282 89,060 50-99 90,115 215 2,593 1,115 91,808 100-249 124,827 347 11,375 5,225 131,324 250-499 116,631 2,402 24,079 5,595 137,516 500 and Over 225,242 6,485 91,741 20,770 302,699 Total 735,520 9,728 133,661 33,181 845,727 Employment Size Under 50

65

Table 11.1 Electricity: Components of Net Demand, 2010;  

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

1.1 Electricity: Components of Net Demand, 2010; 1.1 Electricity: Components of Net Demand, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components; Unit: Million Kilowatthours. Total Sales and Net Demand NAICS Transfers Onsite Transfers for Code(a) Subsector and Industry Purchases In(b) Generation(c) Offsite Electricity(d) Total United States 311 Food 75,652 21 5,666 347 80,993 3112 Grain and Oilseed Milling 16,620 0 3,494 142 19,972 311221 Wet Corn Milling 7,481 0 3,213 14 10,680 31131 Sugar Manufacturing 1,264 0 1,382 109 2,537 3114 Fruit and Vegetable Preserving and Specialty Foods 9,258 0 336 66 9,528 3115 Dairy Products 9,585 2 38 22 9,602 3116 Animal Slaughtering and Processing 20,121 15 19 0 20,155 312 Beverage and Tobacco Products

66

Stackelberg Game based Demand Response for At-Home Electric Vehicle Charging  

E-Print Network [OSTI]

1 Stackelberg Game based Demand Response for At-Home Electric Vehicle Charging Sung-Guk Yoon Member, which is called demand response. Under demand response, retailers determine their electricity prices cost solution and the result of the equal- charging scheme. Index Terms--demand response, electric

Bahk, Saewoong

67

Exponential smoothing with covariates applied to electricity demand forecast  

Science Journals Connector (OSTI)

Exponential smoothing methods are widely used as forecasting techniques in industry and business. Their usual formulation, however, does not allow covariates to be used for introducing extra information into the forecasting process. In this paper, we analyse an extension of the exponential smoothing formulation that allows the use of covariates and the joint estimation of all the unknowns in the model, which improves the forecasting results. The whole procedure is detailed with a real example on forecasting the daily demand for electricity in Spain. The time series of daily electricity demand contains two seasonal patterns: here the within-week seasonal cycle is modelled as usual in exponential smoothing, while the within-year cycle is modelled using covariates, specifically two harmonic explanatory variables. Calendar effects, such as national and local holidays and vacation periods, are also introduced using covariates. [Received 28 September 2010; Revised 6 March 2011, 2 October 2011; Accepted 16 October 2011

José D. Bermúdez

2013-01-01T23:59:59.000Z

68

Electricity Demand Evolution Driven by Storm Motivated Population Movement  

SciTech Connect (OSTI)

Managing the risks posed by climate change to energy production and delivery is a challenge for communities worldwide. Sea Level rise and increased frequency and intensity of natural disasters due to sea surface temperature rise force populations to move locations, resulting in changing patterns of demand for infrastructure services. Thus, Infrastructures will evolve to accommodate new load centers while some parts of the network are underused, and these changes will create emerging vulnerabilities. Combining climate predictions and agent based population movement models shows promise for exploring the universe of these future population distributions and changes in coastal infrastructure configurations. In this work, we created a prototype agent based population distribution model and developed a methodology to establish utility functions that provide insight about new infrastructure vulnerabilities that might result from these patterns. Combining climate and weather data, engineering algorithms and social theory, we use the new Department of Energy (DOE) Connected Infrastructure Dynamics Models (CIDM) to examine electricity demand response to increased temperatures, population relocation in response to extreme cyclonic events, consequent net population changes and new regional patterns in electricity demand. This work suggests that the importance of established evacuation routes that move large populations repeatedly through convergence points as an indicator may be under recognized.

Allen, Melissa R [ORNL; Fernandez, Steven J [ORNL; Fu, Joshua S [ORNL; Walker, Kimberly A [ORNL

2014-01-01T23:59:59.000Z

69

Sixth Northwest Conservation and Electric Power Plan Chapter 5: Demand Response  

E-Print Network [OSTI]

Sixth Northwest Conservation and Electric Power Plan Chapter 5: Demand Response Summary of Key.............................................................................................................. 1 Demand Response in the Fifth Power Plan........................................................................................... 3 Demand Response in the Sixth Power Plan

70

Large Consumer Electricity Acquisition Considering Time-of-Use Rates Demand Response Programs  

Science Journals Connector (OSTI)

The consumers try to obtain their electricity demand at minimum cost from different resources in restructured electricity markets. Hence more attention have been made on demand response programs (DRP) which aims ...

Sayyad Nojavan; Hadi Qesmati; Kazem Zare

2014-12-01T23:59:59.000Z

71

Influence of Air Conditioner Operation on Electricity Use and Peak Demand  

E-Print Network [OSTI]

Electricity demand due to occupant controlled room air conditioners in a large mater-metered apartment building is analyzed. Hourly data on the electric demand of the building and of individual air conditioners are used in analyses of annual...

McGarity, A. E.; Feuermann, D.; Kempton, W.; Norford, L. K.

1987-01-01T23:59:59.000Z

72

An Approach to Demand Response for Alleviating Power System Stress Conditions due to Electric Vehicle Penetration.  

E-Print Network [OSTI]

??Along with the growth of electricity demand and the penetration of intermittent renewable energy sources, electric power distribution networks will face more and more stress (more)

Shao, Shengnan

2011-01-01T23:59:59.000Z

73

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

E-Print Network [OSTI]

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

yan, Ola Hagen

2010-01-01T23:59:59.000Z

74

The potential contribution of small hydroelectric generation to meeting electrical demand on Vancouver Island.  

E-Print Network [OSTI]

??This work focuses on the electrical contribution small hydro generation can make to meeting Vancouver Island's electrical demand, today, and as further development proceeds. A (more)

Schuett, Matthew T.

2008-01-01T23:59:59.000Z

75

Employing demand response in energy procurement plans of electricity retailers  

Science Journals Connector (OSTI)

Abstract This paper proposes a new framework in which demand response (DR) is incorporated as an energy resource of electricity retailers in addition to the commonly used forward contracts and pool markets. In this way, a stepwise reward-based DR is proposed as a real-time resource of the retailer. In addition, the unpredictable behavior of customers participating in the proposed reward-based DR is modeled through a scenario-based participation factor. The overall problem is formulated as a stochastic optimization approach in which pool prices and customers participation in DR are uncertain variables. The feasibility of the problem is evaluated on a realistic case of the Australian National Electricity Market (NEM) and solved using General Algebraic Modeling System (GAMS) software.

Nadali Mahmoudi; Mehdi Eghbal; Tapan K. Saha

2014-01-01T23:59:59.000Z

76

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.

77

Further exploring the potential of residential demand response programs in electricity distribution  

Science Journals Connector (OSTI)

Abstract Smart grids play a key role in realizing climate ambitions. Boosting consumption flexibility is an essential measure in bringing the potential gains of smart grids to fruition. The collective scientific understanding of demand response programs argues that time-of-use tariffs have proven its merits. The findings upon which this conclusion rests are, however, primarily derived from studies covering energy-based time-of-use rates over fairly short periods of time. Hence, this empirical study set out with the intention of estimating the extent of response to a demand-based time-of-use electricity distribution tariff among Swedish single-family homes in the long term. The results show that six years after the implementation households still respond to the price signals of the tariff by cutting demand in peak hours and shifting electricity consumption from peak to off-peak hours. Studies conducted in the Nordic countries commonly include only homeowners and so another aim of the study was to explore the potential of demand response programs among households living in apartment buildings. The demand-based tariff proved to bring about similar, but not as marked, effects in rental apartments, whereas there are virtually no corresponding evidences of demand response in condominium apartments.

Cajsa Bartusch; Karin Alvehag

2014-01-01T23:59:59.000Z

78

Automated Demand Response: The Missing Link in the Electricity Value Chain  

SciTech Connect (OSTI)

In 2006, the Public Interest Energy Research Program (PIER) Demand Response Research Center (DRRC) at Lawrence Berkeley National Laboratory initiated research into Automated Demand Response (OpenADR) applications in California industry. The goal is to improve electric grid reliability and lower electricity use during periods of peak demand. The purpose of this research is to begin to define the relationship among a portfolio of actions that industrial facilities can undertake relative to their electricity use. This ?electricity value chain? defines energy management and demand response (DR) at six levels of service, distinguished by the magnitude, type, and rapidity of response. One element in the electricity supply chain is OpenADR, an open-standards based communications system to send signals to customers to allow them to manage their electric demand in response to supply conditions, such as prices or reliability, through a set of standard, open communications. Initial DRRC research suggests that industrial facilities that have undertaken energy efficiency measures are probably more, not less, likely to initiate other actions within this value chain such as daily load management and demand response. Moreover, OpenADR appears to afford some facilities the opportunity to develop the supporting control structure and to"demo" potential reductions in energy use that can later be applied to either more effective load management or a permanent reduction in use via energy efficiency. Under the right conditions, some types of industrial facilities can shift or shed loads, without any, or minimal disruption to operations, to protect their energy supply reliability and to take advantage of financial incentives.1 In 2007 and 2008, 35 industrial facilities agreed to implement OpenADR, representing a total capacity of nearly 40 MW. This paper describes how integrated or centralized demand management and system-level network controls are linked to OpenADR systems. Case studies of refrigerated warehouses and wastewater treatment facilities are used to illustrate OpenADR load reduction potential. Typical shed and shift strategies include: turning off or operating compressors, aerator blowers and pumps at reduced capacity, increasing temperature set-points or pre-cooling cold storage areas and over-oxygenating stored wastewater prior to a DR event. This study concludes that understanding industrial end-use processes and control capabilities is a key to support reduced service during DR events and these capabilities, if DR enabled, hold significant promise in reducing the electricity demand of the industrial sector during utility peak periods.

McKane, Aimee; Rhyne, Ivin; Lekov, Alex; Thompson, Lisa; Piette, MaryAnn

2009-08-01T23:59:59.000Z

79

Customer Load Strategies for Demand Response in Bilateral Contracting of Electricity  

Science Journals Connector (OSTI)

Electricity markets are systems for affecting the purchase and sale of electricity using supply and demand to set energy prices. Electricity can be traded in organized markets or by negotiating forward bilateral ...

Fernando Lopes; Hugo Algarvio

2014-01-01T23:59:59.000Z

80

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

E-Print Network [OSTI]

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

Skelton, J.

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


81

Renewable Electricity Futures Study. Volume 3: End-Use Electricity Demand  

SciTech Connect (OSTI)

The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

Hostick, D.; Belzer, D.B.; Hadley, S.W.; Markel, T.; Marnay, C.; Kintner-Meyer, M.

2012-06-01T23:59:59.000Z

82

Table E13.1. Electricity: Components of Net Demand, 1998  

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

1. Electricity: Components of Net Demand, 1998;" 1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Electricity Components;" " Unit: Million Kilowatthours." " ",," "," ",," " ,,,,"Sales and","Net Demand","RSE" "Economic",,,"Total Onsite","Transfers","for","Row" "Characteristic(a)","Purchases","Transfers In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,"Total United States"

83

Climate, extreme heat, and electricity demand in California  

E-Print Network [OSTI]

demand responses to climate change: Methodology and application to the Commonwealth of Massachusetts.

Miller, N.L.

2008-01-01T23:59:59.000Z

84

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

85

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

Science Journals Connector (OSTI)

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

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

1988-01-01T23:59:59.000Z

86

Duct Leakage Impacts on Airtightness, Infiltration, and Peak Electrical Demand in Florida Homes  

E-Print Network [OSTI]

return leak from the attic can increase cooling electrical demand by 100%. Duct repairs in a typical. electrically heated Florida home reduce winter peak demand by about 1.6 kW per house at about one-sixth the cost of building new electrical generation...

Cummings, J. B.; Tooley, J. J.; Moyer, N.

1990-01-01T23:59:59.000Z

87

The behavioral response to voluntary provision of an environmental public good: Evidence from residential electricity demand  

E-Print Network [OSTI]

residential electricity demand Grant D. Jacobsen a,n , Matthew J. Kotchen b,c , Michael P. Vandenbergh d online 25 February 2012 JEL classification: H41 Q42 G54 Keywords: Green electricity Voluntary environmental protection Carbon offset Renewable energy Moral licensing Residential electricity demand a b s t r

Kotchen, Matthew J.

88

Residential Electricity Demand in China -- Can Efficiency Reverse the Growth?  

E-Print Network [OSTI]

for 90% of household electricity consumption in China. Usinggives an annual electricity consumption of 12kWh assumingto look at is electricity consumption at the household

Letschert, Virginie

2010-01-01T23:59:59.000Z

89

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

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

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

90

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

E-Print Network [OSTI]

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

Davis, Zephaniah K.

2014-01-01T23:59:59.000Z

91

ELECTRICITY DEMAND AND SUPPLY PROJECTIONS IN IEA WORLD ENERGY SCENARIOS: HOW MUCH, HOW CLEAN?  

Science Journals Connector (OSTI)

Abstract (40-Word Limit): The presentation will highlight and discuss projections for electricity demand up to 2050 based on the recent publication Energy Technology Perspectives 2012:...

Frankl, Paolo

92

Evaluation of ground energy storage assisted electric vehicle DC fast charger for demand charge reduction and providing demand response  

Science Journals Connector (OSTI)

Abstract In 2012 there was approximately 2400 electric vehicle DC Fast Charging stations sold globally. According to Pike Research (Jerram and Gartner, 2012), it is anticipated that by 2020 there will be approximately 460,000 of them installed worldwide. A typical public DC fast charger delivers a maximum power output of 50kW which allows a typical passenger vehicle to be 80% charged in 1015min, compared with 68h for a 6.6kW AC level 2 charging unit. While DC fast chargers offer users the convenience of being able to rapidly charge their vehicle, the unit's high power demand has the potential to put sudden strain on the electricity network, and incur significant demand charges. Depending on the utility rate structure, a DC fast charger can experience annual demand charges of several thousand dollars. Therefore in these cases there is an opportunity to mitigate or even avoid the demand charges incurred by coupling the unit with an appropriately sized energy storage system and coordinating the way in which it integrates. This paper explores the technical and economical suitability of coupling a ground energy storage system with a DC fast charge unit for mitigation or avoidance of demand charges and lessening the impact on the local electricity network. This paper also discusses the concept of having the system participate in demand response programs in order to provide grid support and to further improve the economic suitability of an energy storage system.

Donald McPhail

2014-01-01T23:59:59.000Z

93

The Supply and Demand Models Based on Electricity Consumption  

Science Journals Connector (OSTI)

Analyzing how the supply and demand of a commodity changes as a function of its price is one of the many purposes of the field of economics. The supply and demand model of a commodity is also the most efficient a...

Zhaoguang Hu; Zheng Hu

2013-01-01T23:59:59.000Z

94

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

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

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

95

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

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

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

96

Trends in electricity demand and supply in the developing countries, 1980--1990  

SciTech Connect (OSTI)

This report provides an overview of trends concerning electricity demand and supply in the developing countries in the 1980--1990 period, with special focus on 13 major countries for which we have assembled consistent data series. We describe the linkage between electricity demand and economic growth, the changing sectoral composition of electricity consumption, and changes in the mix of energy sources for electricity generation. We also cover trends in the efficiency of utility electricity supply with respect to power plant efficiency and own-use and delivery losses, and consider the trends in carbon dioxide emissions from electricity supply.

Meyers, S.; Campbell, C.

1992-11-01T23:59:59.000Z

97

A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of  

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

Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year ActualWeather Data Title A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year ActualWeather Data Publication Type Journal Year of Publication 2013 Authors Hong, Tianzhen, Wen-Kuei Chang, and Hung-Wen Lin Keywords Actual meteorological year, Building simulation, Energy use, Peak electricity demand, Typical meteorological year, Weather data Abstract Buildings consume more than one third of the world's total primary energy. Weather plays a unique and significant role as it directly affects the thermal loads and thus energy performance of buildings. The traditional simulated energy performance using Typical Meteorological Year (TMY) weather data represents the building performance for a typical year, but not necessarily the average or typical long-term performance as buildings with different energy systems and designs respond differently to weather changes. Furthermore, the single-year TMY simulations do not provide a range of results that capture yearly variations due to changing weather, which is important for building energy management, and for performing risk assessments of energy efficiency investments. This paper employs large-scale building simulation (a total of 3162 runs) to study the weather impact on peak electricity demand and energy use with the 30-year (1980 to 2009) Actual Meteorological Year (AMY) weather data for three types of office buildings at two design efficiency levels, across all 17 ASHRAE climate zones. The simulated results using the AMY data are compared to those from the TMY3 data to determine and analyze the differences. Besides further demonstration, as done by other studies, that actual weather has a significant impact on both the peak electricity demand and energy use of buildings, the main findings from the current study include: 1) annual weather variation has a greater impact on the peak electricity demand than it does on energy use in buildings; 2) the simulated energy use using the TMY3 weather data is not necessarily representative of the average energy use over a long period, and the TMY3 results can be significantly higher or lower than those from the AMY data; 3) the weather impact is greater for buildings in colder climates than warmer climates; 4) the weather impact on the medium-sized office building was the greatest, followed by the large office and then the small office; and 5) simulated energy savings and peak demand reduction by energy conservation measures using the TMY3 weather data can be significantly underestimated or overestimated. It is crucial to run multi-decade simulations with AMY weather data to fully assess the impact of weather on the long-term performance of buildings, and to evaluate the energy savings potential of energy conservation measures for new and existing buildings from a life cycle perspective.

98

Economy and Electricity Demand Growth Linked but ƒƒƒ.  

Gasoline and Diesel Fuel Update (EIA)

Economy and Electricity Demand Economy and Electricity Demand Growth Linked but ... for International Utility Conference, Demand Trends Panel March 12, 2013 | London, UK by Adam Sieminski, Administrator U. S. electricity use and economic growth, 1950-2040 Adam Sieminski, EEI Demand Trends, March 12, 2013 2 -2% 0% 2% 4% 6% 8% 10% 12% 14% 1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 Percent growth, 3-year rolling average Source: EIA, Annual Energy Outlook 2013 Early Release History Projections 2011 Electricity Use GDP 2.4% 0.9% 2011 - 2040 average Annual energy use of a new refrigerator, 1950-2008 Adam Sieminski, EEI Demand Trends, March 12, 2013 3 Kilowatthours per year Source: DOE / EERE - Building Technologies Office 0 200 400 600 800 1,000 1,200 1,400 1,600 1,800

99

THE CHALLENGES AND OPPORTUNITIES TO MEET THE WORKFORCE DEMAND IN THE ELECTRIC POWER AND ENERGY PROFESSION  

E-Print Network [OSTI]

, but also has become the backbone for our economic development. The world has witnessed electric power1 THE CHALLENGES AND OPPORTUNITIES TO MEET THE WORKFORCE DEMAND IN THE ELECTRIC POWER AND ENERGY and supply in the world in general, and in the US, in particular. The electric power and energy industry

100

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

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


101

Effects of the drought on California electricity supply and demand  

E-Print Network [OSTI]

ELECTRICITY SUPPLY Hydroelectric Energy Supply Thermal-question. Data on PG&E's hydroelectric resources and Pacific27 Table 28 Table 29 Hydroelectric Supply in California Fuel

Benenson, P.

2010-01-01T23:59:59.000Z

102

Report: Impacts of Demand-Side Resources on Electric Transmission Planning  

Broader source: Energy.gov [DOE]

Demand for new transmission can be driven by different factors, including connection of new generation, reliability, economics, environmental policy compliance and replacement of retiring infrastructure. This report assesses the relationship between high levels of demand-side resources (including end-use efficiency, demand response, and distributed generation) and investment in new transmission or utilization of existing transmission.

103

Singular value decomposition expansion for electrical demand analysis  

Science Journals Connector (OSTI)

......friction. Reactive power in an electric circuit is analogous to the...eigenvalue decomposition, the elementary factors are invariant under...invariant under three matrix elementary transformations on A, i...often much higher than the resistance in an electrical system......

FAN LI

2000-01-01T23:59:59.000Z

104

Analysis of Michigan's demand-side electricity resources in the residential sector: Volume 3, End-use studies: Revised final report  

SciTech Connect (OSTI)

This volume of the ''Analysis of Michigan's Demand-Side Electricity Resources in the Residential Sector'' contains end-use studies on various household appliances including: refrigerators, freezers, lighting systems, water heaters, air conditioners, space heaters, and heat pumps. (JEF)

Krause, F.; Brown, J.; Connell, D.; DuPont, P.; Greely, K.; Meal, M.; Meier, A.; Mills, E.; Nordman, B.

1988-04-01T23:59:59.000Z

105

Demand-side management in smart grid operation considering electric vehicles load shifting and vehicle-to-grid support  

Science Journals Connector (OSTI)

Abstract Demand fluctuation in electric power systems is undesirable from many points of view; this has sparked an interest in demand-side strategies that try to establish mechanisms that allow for a flatter demand curve. Particularly interesting is load shifting, a strategy that considers the shifting of certain amounts of energy demand from some time periods to other time periods with lower expected demand, typically in response to price signals. In this paper, an optimization-based model is proposed to perform load shifting in the context of smart grids. In our model, we define agents that are responsible for load, generation and storage management; in particular, some of them are electric vehicle aggregators. An important feature of the proposed approach is the inclusion of electric vehicles with vehicle-to-grid capabilities; with this possibility, electric vehicles can provide certain services to the power grid, including load shifting and congestion management. Results are reported for a test system based on the IEEE 37-bus distribution grid; the effectiveness of the approach and the effect of the hourly energy prices on flattening the load curve are shown.

M.A. Lpez; S. de la Torre; S. Martn; J.A. Aguado

2015-01-01T23:59:59.000Z

106

Electricity Demand-Side Management for an Energy Efficient Future in China: Technology Options and Policy Priorities  

E-Print Network [OSTI]

Electricity Demand-Side Management for an Energy Efficient Future in China: Technology Options sensitive impacts on electricity demand growth by different demand-side management (DSM) scenarios countries. The research showed that demand side management strategies could result in significant reduction

de Weck, Olivier L.

107

AN ECONOMETRIC ANALYSIS OF ZAMBIAN INDUSTRIAL ELECTRICITY DEMAND.  

E-Print Network [OSTI]

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

Chama, Yoram Chama

2012-01-01T23:59:59.000Z

108

Beyond kWh and kW demand: Understanding the new real-time electric power  

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

Beyond kWh and kW demand: Understanding the new real-time electric power Beyond kWh and kW demand: Understanding the new real-time electric power measurement system in LBNL Building 90 Speaker(s): Alex McEachern Date: January 14, 2010 - 12:00pm Location: 90-3122 In the Summer of 2009, LBNL researchers installed end-use sub-metering equipment and associated Energy Information System (EIS) tools to characterize energy use and comfort in Building 90. Seven of 40 key electric loads were measured using advanced meters that make sophisticated real-time measurements of dozens of power flow parameters, power disturbances, and harmonics. The talk will review some electrical engineering fundamentals, how use and interpret data measured in building 90 in real-time. The real-time data available includes power, volt-amps, VAR's, unbalance voltage and current, voltage and current distortion,

109

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

Science Journals Connector (OSTI)

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

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

2011-04-01T23:59:59.000Z

110

The Impacts of Utility-Sponsored Demand-Side Management Programs on Industrial Electricity Consumers  

E-Print Network [OSTI]

One of the most pressing issues in electric utility regulation today is the extent to which demand-side management (DSM) programs should be promoted by utilities. DSM refers to energy-efficiency or conservation measures, such as insulation, more...

Rosenblum, J. I.

111

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

Science Journals Connector (OSTI)

In the paper, a method of forecasting demand prices for electric energy for the industry has been suggested. An algorithm of the forecast for 20062010 based on the data for 19972005 has been presented.

V. V. Kossov

2014-09-01T23:59:59.000Z

112

Report: Natural Gas Infrastructure Implications of Increased Demand from the Electric Power Sector  

Broader source: Energy.gov [DOE]

This report examines the potential infrastructure needs of the U.S. interstate natural gas pipeline transmission system across a range of future natural gas demand scenarios that drive increased electric power sector natural gas use.

113

Issues Related to the Growth of Electricity in Global Energy Demand  

Science Journals Connector (OSTI)

Since the subject of this international conference is Global Energy Demand in Transition: The New Role of Electricity ... drive the evolution of the market shares of energy sources and uses (which are different,...

Marcelo Alonso

1995-01-01T23:59:59.000Z

114

Electricity Distribution Networks: Investment and Regulation, and Uncertain Demand  

E-Print Network [OSTI]

by the Department of Energy and Climate Change (DEEC) on an annual basis.6 5 Engineering Technical Report 115 (1988). 6 DECC Sub-national energy consumption statistics (http://www.decc.gov.uk/en/content... of non-domestic activity, which must be taken into account whilst forecasting non-domestic demand. 8 DECC Sub-national energy consumption statistics (http://www.decc.gov.uk/en/content...

Jamasb, Tooraj; Marantes, Cristiano

2011-01-31T23:59:59.000Z

115

Photo-Ionic Cells: Two Solutions to Store Solar Energy and Generate Electricity on Demand  

Science Journals Connector (OSTI)

Photo-Ionic Cells: Two Solutions to Store Solar Energy and Generate Electricity on Demand ... potential of solar energy all over the world is many times larger than the current total primary energy demanded. ... The magnitudes of the free energies derived from formal potentials are detd. ...

Manuel A. Mndez; Pekka Peljo; Michel D. Scanlon; Heron Vrubel; Hubert H. Girault

2014-02-27T23:59:59.000Z

116

Electric Demand Cost Versus Labor Cost: A Case Study  

E-Print Network [OSTI]

steel and glass. Pins, glass beads and headers are assembled manually and are put in a carbon tray. Carbon trays are put in furnaces (ovens) which are maintained at a constant temperature between 160Q-2000F and have an exothermic gas environment.... At this time, company registers its peak demand. Company keeps all furnaces on and keep them available for workers in case they will need it for their products. On average, no more than two furnaces will have same temperature and exothermic gas...

Agrawal, S.; Jensen, R.

117

Solutions for Summer Electric Power Shortages: Demand Response andits Applications in Air Conditioning and Refrigerating Systems  

SciTech Connect (OSTI)

Demand response (DR) is an effective tool which resolves inconsistencies between electric power supply and demand. It further provides a reliable and credible resource that ensures stable and economical operation of the power grid. This paper introduces systematic definitions for DR and demand side management, along with operational differences between these two methods. A classification is provided for DR programs, and various DR strategies are provided for application in air conditioning and refrigerating systems. The reliability of DR is demonstrated through discussion of successful overseas examples. Finally, suggestions as to the implementation of demand response in China are provided.

Han, Junqiao; Piette, Mary Ann

2007-11-30T23:59:59.000Z

118

Univariate time-series forecasting of monthly peak demand of electricity in northern India  

Science Journals Connector (OSTI)

This study forecasts the monthly peak demand of electricity in the northern region of India using univariate time-series techniques namely Multiplicative Seasonal Autoregressive Integrated Moving Average (MSARIMA) and Holt-Winters Multiplicative Exponential Smoothing (ES) for seasonally unadjusted monthly data spanning from April 2000 to February 2007. In-sample forecasting reveals that the MSARIMA model outperforms the ES model in terms of lower root mean square error, mean absolute error and mean absolute percent error criteria. It has been found that ARIMA (2, 0, 0) (0, 1, 1)12 is the best fitted model to explain the monthly peak demand of electricity, which has been used to forecast the monthly peak demand of electricity in northern India, 15 months ahead from February 2007. This will help Northern Regional Load Dispatch Centre to make necessary arrangements a priori to meet the future peak demand.

Sajal Ghosh

2008-01-01T23:59:59.000Z

119

Risk-based bidding of large electric utilities using Information Gap Decision Theory considering demand response  

Science Journals Connector (OSTI)

Abstract The present study presents a new risk-constrained bidding strategy formulation of large electric utilities in, presence of demand response programs. The considered electric utility consists of generation facilities, along with a retailer part, which is responsible for supplying associated demands. The total profit of utility comes from participating in day-ahead energy markets and selling energy to corresponding consumers via retailer part. Different uncertainties, such as market price, affect the profit of the utility. Therefore, here, attempts are made to make use of Information Gap Decision Theory (IGDT) to obtain a robust scheduling method against the unfavorable deviations of the market prices. Implementing demand response programs sounds attractive for the consumers through providing some incentives in one hand, and it improves the risk hedging capability of the utility on the other hand. The proposed method is applied to a test system and effect of demand response programs is investigated on the total profit of the utility.

M. Kazemi; B. Mohammadi-Ivatloo; M. Ehsan

2014-01-01T23:59:59.000Z

120

Integrated electricity and heating demand-side management for wind power integration in China  

Science Journals Connector (OSTI)

Abstract The wind power generation system will play a crucial role for developing the energy conservative, environmentally friendly, and sustainable electric power system in China. However, the intermittency and unpredictability of wind power has been an obstacle to the deployment of wind power generation, especially in the winter of northern China. In northern China, a combined heat and power (CHP) unit has been widely utilized as a heat and electricity source. Considering the flexible operation of CHP with introduction of electric heat pumps (EHPs), this paper proposes a new method of electricity and heating demand side management to facilitate the wind power integration with the purpose of energy conservation in a unit-commitment problem. The thermal characteristics of demand side such as the thermal inertia of buildings and thermal comfort of end users are taken into consideration. Moreover the distributed electric heat pumps (EHPs) widely used by city dwellers are introduced into the wind-thermal power system as the heating source and spinning reserve so as to increase the flexibility of heating and electricity supply. The simulation results show that the new method can integrate more wind power into power grid for electricity and heating demand to reduce the coal consumption.

Yulong Yang; Kai Wu; Hongyu Long; Jianchao Gao; Xu Yan; Takeyoshi Kato; Yasuo Suzuoki

2014-01-01T23:59:59.000Z

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


121

Analysis of PG&E`s residential end-use metered data to improve electricity demand forecasts -- final report  

SciTech Connect (OSTI)

This report summarizes findings from a unique project to improve the end-use electricity load shape and peak demand forecasts made by the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). First, the direct incorporation of end-use metered data into electricity demand forecasting models is a new approach that has only been made possible by recent end-use metering projects. Second, and perhaps more importantly, the joint-sponsorship of this analysis has led to the development of consistent sets of forecasting model inputs. That is, the ability to use a common data base and similar data treatment conventions for some of the forecasting inputs frees forecasters to concentrate on those differences (between their competing forecasts) that stem from real differences of opinion, rather than differences that can be readily resolved with better data. The focus of the analysis is residential space cooling, which represents a large and growing demand in the PG&E service territory. Using five years of end-use metered, central air conditioner data collected by PG&E from over 300 residences, we developed consistent sets of new inputs for both PG&E`s and CEC`s end-use load shape forecasting models. We compared the performance of the new inputs both to the inputs previously used by PG&E and CEC, and to a second set of new inputs developed to take advantage of a recently added modeling option to the forecasting model. The testing criteria included ability to forecast total daily energy use, daily peak demand, and demand at 4 P.M. (the most frequent hour of PG&E`s system peak demand). We also tested the new inputs with the weather data used by PG&E and CEC in preparing their forecasts.

Eto, J.H.; Moezzi, M.M.

1993-12-01T23:59:59.000Z

122

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

123

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

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

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

124

Statewide Electricity and Demand Capacity Savings from the Implementation of IECC Code in Texas: Analysis for Single-Family Residences  

E-Print Network [OSTI]

STATEWIDE ELECTRICITY AND DEMAND CAPACITY SAVINGS FROM THE IMPLEMENTATION OF IECC CODE IN TEXAS: ANALYSIS FOR SINGLE?FAMILY RESIDENCES 11th International Conference for Enhanced Building Operations New York City, October 18 ? 20, 2011 Hyojin...&M University System Statewide Electricity and Demand Savings from the IECC Code in TX 11th ICEBO Conference Oct. 18 ? 20, 2011 2 Outline Introduction Methodology Base?Case Building Results Summary Statewide Electricity and Demand Savings from the IECC...

Kim, H.; Baltazar, J.C.; Haberl, J.; Lewis, C.; Yazdani, B.

2011-01-01T23:59:59.000Z

125

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

Science Journals Connector (OSTI)

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

Haitham Hindi; Daniel Greene

2012-01-01T23:59:59.000Z

126

Long-term electricity demand forecasting for power system planning using economic, demographic and climatic variables  

Science Journals Connector (OSTI)

The stochastic planning of power production overcomes the drawback of deterministic models by accounting for uncertainties in the parameters. Such planning accounts for demand uncertainties by using scenario sets and probability distributions. However, in previous literature, different scenarios were developed by either assigning arbitrary values or assuming certain percentages above or below a deterministic demand. Using forecasting techniques, reliable demand data can be obtained and inputted to the scenario set. This article focuses on the long-term forecasting of electricity demand using autoregressive, simple linear and multiple linear regression models. The resulting models using different forecasting techniques are compared through a number of statistical measures and the most accurate model was selected. Using Ontario's electricity demand as a case study, the annual energy, peak load and base load demand were forecasted up to the year 2025. In order to generate different scenarios, different ranges in the economic, demographic and climatic variables were used. [Received 16 October 2007; Revised 31 May 2008; Revised 25 October 2008; Accepted 1 November 2008

F. Chui; A. Elkamel; R. Surit; E. Croiset; P.L. Douglas

2009-01-01T23:59:59.000Z

127

Univariate forecasting of day-ahead hourly electricity demand in the northern grid of India  

Science Journals Connector (OSTI)

Short-term electricity demand forecasts (minutes to several hours ahead) have become increasingly important since the rise of the competitive energy markets. The issue is particularly important for India as it has recently set up a power exchange (PX), which has been operating on day-ahead hourly basis. In this study, an attempt has been made to forecast day-ahead hourly demand of electricity in the northern grid of India using univariate time-series forecasting techniques namely multiplicative seasonal ARIMA and Holt-Winters multiplicative exponential smoothing (ES). In-sample forecasts reveal that ARIMA models, except in one case, outperform ES models in terms of lower RMSE, MAE and MAPE criteria. We may conclude that linear time-series models works well to explain day-ahead hourly demand forecasts in the northern grid of India. The findings of the study will immensely help the players in the upcoming power market in India.

Sajal Ghosh

2009-01-01T23:59:59.000Z

128

Demand Reduction  

Broader source: Energy.gov [DOE]

Grantees may use funds to coordinate with electricity supply companies and utilities to reduce energy demands on their power systems. These demand reduction programs are usually coordinated through...

129

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

E-Print Network [OSTI]

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

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

130

Modeling demand for electric vehicles: the effect of car users' attitudes and perceptions  

E-Print Network [OSTI]

electric cars and petrol-driven ones and in particular which include the respondents' own cars to electric cars on vehicle preferences. Opinion and perception data are also collected to capture the impact) and currently, few charging stations and infrastructures are available. The electric car user is hence compelled

Bierlaire, Michel

131

Demand-response (DR) programs, in which facilities reduce their electric loads in response to a utility signal, represent a  

E-Print Network [OSTI]

The Issue Demand-response (DR) programs, in which facilities reduce their electric loads (Figure 1). The testing covered four Lighting the Way to Demand ResponseLighting the Way to Demand Response California Energy Commission's Public Interest Energy Research Program Technical Brief PIER

132

Integrating Demand into the U.S. Electric Power System: Technical, Economic, and Regulatory Frameworks for Responsive Load  

E-Print Network [OSTI]

for Responsive/Adaptive Load by Jason W. Black Massachusetts Institute of Technology Submitted to the Engineering integration of demand response. Integrating demand into the US electricity system will allow the development, and market issues to determine a system structure that provides incentives for demand response. An integrated

de Weck, Olivier L.

133

Multicriteria decision making in electricity demand management: the case of Kuwait  

Science Journals Connector (OSTI)

Electricity demand in Kuwait has substantially increased over the years and this increase is attributed to population growth, increase in the number of buildings, and the extensive use of air-conditioning system during the very hot weather in the summer. The amount of electrical energy generated reached 48 444 308 megawatt hour (MWH) in 2007. Such growth calls for extensive investment in the continuous expansion of the existing power plants and constructing new ones. To rationalise the consumption of electricity, several conservation policies have to be implemented. In this work, we have attempted to diagnose such problem and solicit expert opinions in order to provide the proper remedies. Because the problem comprises several criteria that are subjective in nature, multicriteria decision-making approaches were suggested. The Analytical Hierarchy Process (AHP) was used as a decision tool to assess the different policies that could be used to bring about electricity conservation.

Mohammed Hajeeh

2010-01-01T23:59:59.000Z

134

A Preliminary Examination of the Supply and Demand Balance for Renewable Electricity  

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

A Preliminary Examination A Preliminary Examination of the Supply and Demand Balance for Renewable Electricity Blair Swezey, Jørn Aabakken, and Lori Bird Technical Report NREL/TP-670-42266 October 2007 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 A Preliminary Examination of the Supply and Demand Balance for Renewable Electricity Blair Swezey, Jørn Aabakken, and Lori Bird Prepared under Task No. WF6N.1015 Technical Report NREL/TP-670-42266 October 2007 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle

135

Demand side management of electric car charging: Benefits for consumer and grid  

Science Journals Connector (OSTI)

Ireland is currently striving to source 10% of the energy required for its transport fleet from renewable energy sources by 2020. As part of the measures being implemented in order to help realise this ambitious target a number of Government schemes have been introduced to financially subsidise the purchase of alternative energy vehicles in an effort to achieve 10% EV (electric vehicle) penetration in the country's road fleet by 2020. The replacement of ICE (internal combustion engine) vehicles with EV equivalents poses challenges for grid operators while simultaneously offering opportunities in terms of distributed energy storage and flexible load. This paper examines how optimising the charging cycles of an electric car using DSM (Demand Side Management) based on a number of criteria could be used to achieve financial savings, increased demand on renewable energy, reduce demand on thermal generation plant, and reduce peak load demand. The results demonstrate that significant gains can be achieved using currently available market data which highlights the point that DSM can be implemented without any further technological advents.

P. Finn; C. Fitzpatrick; D. Connolly

2012-01-01T23:59:59.000Z

136

High Electric Demand Days: Clean Energy Strategies for Improving Air Quality  

Broader source: Energy.gov [DOE]

This presentation by Art Diem of the State and Local Capacity Building Branch in the U.S. Environmental Protection Agency was part of the July 2008 Webcast sponsored by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Weatherization and Intergovernmental Program Clean Energy and Air Quality Integration Initiative that was titled Role of Energy Efficiency and Renewable Energy in Improving Air Quality and Addressing Greenhouse Gas Reduction Goals on High Electric Demand Days.

137

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

SciTech Connect (OSTI)

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

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

2013-02-01T23:59:59.000Z

138

Sixth Northwest Conservation and Electric Power Plan Chapter 3: Electricity Demand Forecast  

E-Print Network [OSTI]

at a relatively slow pace, custom data centers (Google, etc.) are a relatively new end-use that has been seeing................................................................................................................... 7 Alternative Load Forecast Concepts been influenced by expected higher electricity prices that reflect a rapid rise in fuel prices

139

Statewide Emissions Reduction, Electricity and Demand Savings from the Implementation of Building-Energy-Codes in Texas  

E-Print Network [OSTI]

to the calculations. To estimate electric demand savings, the calculated statewide electric demand savings (MW) were then multiplied by the average capital cost of a natural gas combined cycle power plant, $1,165 per kW (Kaplan, 2008) using a 15% reserve margin... (Simulation adjustment3: Heating 72F, Cooling 75F) (b) Heat Pump House: 0.904 360 0.88 kW (Simulation adjustment3: 1.095 kW) HVAC System Type (a) Electric/Gas House: 0.594 (a) Electric/Gas House: 0.544 SLA= 0.00036 (a) Electric/Gas House: SEER 13...

Yazdani, B.; Haberl, J.; Kim, H.; Baltazar, J.C.; Zilbershtein, G.

2012-01-01T23:59:59.000Z

140

Dynamic Control of Electricity Cost with Power Demand Smoothing and Peak Shaving for Distributed Internet Data Centers  

E-Print Network [OSTI]

Dynamic Control of Electricity Cost with Power Demand Smoothing and Peak Shaving for Distributed a major part of their running costs. Modern electric power grid provides a feasible way to dynamically and efficiently manage the electricity cost of distributed IDCs based on the Locational Marginal Pricing (LMP

Rahman, A.K.M. Ashikur

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


141

Demand Response | Department of Energy  

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

Demand Response Demand Response Demand Response Demand Response Demand response provides an opportunity for consumers to play a significant role in the operation of the electric grid by reducing or shifting their electricity usage during peak periods in response to time-based rates or other forms of financial incentives. Demand response programs are being used by electric system planners and operators as resource options for balancing supply and demand. Such programs can lower the cost of electricity in wholesale markets, and in turn, lead to lower retail rates. Methods of engaging customers in demand response efforts include offering time-based rates such as time-of-use pricing, critical peak pricing, variable peak pricing, real time pricing, and critical peak rebates. It also includes direct load control programs which provide the

142

Integrating demand into the U.S. electric power system : technical, economic, and regulatory frameworks for responsive load  

E-Print Network [OSTI]

The electric power system in the US developed with the assumption of exogenous, inelastic demand. The resulting evolution of the power system reinforced this assumption as nearly all controls, monitors, and feedbacks were ...

Black, Jason W. (Jason Wayne)

2005-01-01T23:59:59.000Z

143

Electricity demand-side management for an energy efficient future in China : technology options and policy priorities  

E-Print Network [OSTI]

The main objective of this research is to identify robust technology and policy options which achieve substantial reductions in electricity demand in China's Shandong Province. This research utilizes a scenario-based ...

Cheng, Chia-Chin

2005-01-01T23:59:59.000Z

144

Automated Demand Response: The Missing Link in the Electricity Value Chain  

E-Print Network [OSTI]

Laboratory. Berkeley. Demand Response Research Center,and Automated Demand Response in Wastewater TreatmentLaboratory. Berkeley. Demand Response Research Center,

McKane, Aimee

2010-01-01T23:59:59.000Z

145

Automated Demand Response: The Missing Link in the Electricity Value Chain  

E-Print Network [OSTI]

and Open Automated Demand Response. In Grid Interop Forum.Berkeley National Laboratory. Demand Response ResearchCenter, Demand Response Research Center PIER Team Briefing,

McKane, Aimee

2010-01-01T23:59:59.000Z

146

Quantifying Changes in Building Electricity Use, with Application to Demand Response  

E-Print Network [OSTI]

and techniques for demand response, Lawrence BerkeleyNational action plan on demand response, Prepared with the3] G. He?ner, Demand response valuation frameworks paper,

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

147

Load-side Demand Management in Buildings usingControlled Electric Springs  

E-Print Network [OSTI]

The concept of demand-side management for electricand simulation of demand-side management potential in urbanin smart grids, demand side management has been a keen topic

Soni, Jayantika; Krishnanand, KR; Panda, Sanjib

2014-01-01T23:59:59.000Z

148

LBNL-6280E A Fresh Look at Weather Impact on Peak Electricity Demand and  

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

280E 280E A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30- Year Actual Weather Data Tianzhen Hong 1 , Wen-kuei Chang 2 , Hung-Wen Lin 2 1 Environmental Energy Technologies Division 2 Green Energy and Environment Laboratories, Industrial Technology Research Institute, Taiwan, ROC May 2013 This work was supported by the Assistant Secretary for Energy Efficiency and Renewable Energy, the U.S.-China Clean Energy Research Center for Building Energy Efficiency, of the U.S. Department of Energy under Contract No. DE-AC02-

149

SmartCap: Flattening Peak Electricity Demand in Smart Homes Sean Barker, Aditya Mishra, David Irwin, Prashant Shenoy, and Jeannie Albrecht  

E-Print Network [OSTI]

SmartCap: Flattening Peak Electricity Demand in Smart Homes Sean Barker, Aditya Mishra, David Irwin--Flattening household electricity demand reduces generation costs, since costs are disproportionately affected by peak demands. While the vast majority of household electrical loads are interactive and have little scheduling

Massachusetts at Amherst, University of

150

Chapter 21 - Case Study: Demand-Response and Alternative Technologies inElectricity 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

151

Modeling of Electric Water Heaters for Demand Response: A Baseline PDE Model  

SciTech Connect (OSTI)

Demand response (DR)control can effectively relieve balancing and frequency regulation burdens on conventional generators, facilitate integrating more renewable energy, and reduce generation and transmission investments needed to meet peak demands. Electric water heaters (EWHs) have a great potential in implementing DR control strategies because: (a) the EWH power consumption has a high correlation with daily load patterns; (b) they constitute a significant percentage of domestic electrical load; (c) the heating element is a resistor, without reactive power consumption; and (d) they can be used as energy storage devices when needed. Accurately modeling the dynamic behavior of EWHs is essential for designing DR controls. Various water heater models, simplified to different extents, were published in the literature; however, few of them were validated against field measurements, which may result in inaccuracy when implementing DR controls. In this paper, a partial differential equation physics-based model, developed to capture detailed temperature profiles at different tank locations, is validated against field test data for more than 10 days. The developed model shows very good performance in capturing water thermal dynamics for benchmark testing purposes

Xu, Zhijie; Diao, Ruisheng; Lu, Shuai; Lian, Jianming; Zhang, Yu

2014-09-05T23:59:59.000Z

152

Abstract--Electrical Distribution Systems (EDS) are facing ever-increasing complexity due to fast growing demand and large  

E-Print Network [OSTI]

operation. As such Electrical Distribution Systems will require new planning strategies and tools, new1 Abstract-- Electrical Distribution Systems (EDS) are facing ever-increasing complexity due to fast growing demand and large amount of distributed energy resources integration. The conventional

Paris-Sud XI, Université de

153

Optimal Tariff Period Determination Cost of electricity generation is closely related to system demand. In general, the  

E-Print Network [OSTI]

Optimal Tariff Period Determination Cost of electricity generation is closely related to system setting is giving signal to customers the time variant cost of supplying electricity. Since the costs demand. In general, the generation cost is higher during system peak period, and vice versa. In Hong Kong

154

Statewide Electricity and Demand Capacity Savings from the International Energy Conservation Code (IECC) Adoption for Single-Family Residences in Texas (2002-2011)  

E-Print Network [OSTI]

This report is the continuation of the previous 2011 Statewide Electricity Savings report from code-compliant, single-family residences built between 2002 and 2009. Statewide electricity and electric demand savings achieved from the adoption...

Kim, H.; Baltazar, J. C.; Haberl, J. S.; Yazdani, B.

2013-01-01T23:59:59.000Z

155

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

156

Electricity demand as frequency controlled reserves, ForskEL (Smart Grid  

Open Energy Info (EERE)

ForskEL (Smart Grid ForskEL (Smart Grid Project) Jump to: navigation, search Project Name Electricity demand as frequency controlled reserves, ForskEL Country Denmark Coordinates 56.26392°, 9.501785° 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":56.26392,"lon":9.501785,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

157

A fuzzy chance-constrained program for unit commitment problem considering demand response, electric vehicle and wind power  

Science Journals Connector (OSTI)

Abstract As a form of renewable and low-carbon energy resource, wind power is anticipated to play an essential role in the future energy structure. Whereas, its features of time mismatch with power demand and uncertainty pose barriers for the power system to utilize it effectively. Hence, a novel unit commitment model is proposed in this paper considering demand response and electric vehicles, which can promote the exploitation of wind power. On the one hand, demand response and electric vehicles have the feasibility to change the load demand curve to solve the mismatch problem. On the other hand, they can serve as reserve for wind power. To deal with the unit commitment problem, authors use a fuzzy chance-constrained program that takes into account the wind power forecasting errors. The numerical study shows that the model can promote the utilization of wind power evidently, making the power system operation more eco-friendly and economical.

Ning Zhang; Zhaoguang Hu; Xue Han; Jian Zhang; Yuhui Zhou

2015-01-01T23:59:59.000Z

158

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 5min. 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 stergaard

2015-01-01T23:59:59.000Z

159

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2006;" 6 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

160

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

1. End Uses of Fuel Consumption, 1998;" 1. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," "," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)","Row"

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


161

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

162

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2010;" 5 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

163

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2002;" 5 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Row"

164

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2010;" 6 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

165

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2002;" 6 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

166

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2006;" 5 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

167

Categorization of residential electricity consumption as a basis for the assessment of the impacts of demand response actions  

Science Journals Connector (OSTI)

Abstract In a smart(er) grid context, the existence of dynamic tariffs and bidirectional communications will simultaneously allow and require an active role from the end-user concerning electricity management. However, the residential end-user will not be always available to manage energy resources and decide, based on price signals and preferences/needs, the best response actions to implement or the best usage of the electricity produced locally. Therefore, energy management systems are required to monitor consumption/generation/storage and to make the best decisions according to input signals and the user's needs and preferences. The design of adequate algorithms to be implemented in those systems require the prior characterization of domestic electricity demand and categorization of loads, according to availability, typical usage patterns, working cycles and technical constraints. Automated demand response actions must be tailored and chosen according to this previous analysis of load characteristics. In this paper, a characterization of household electricity consumption is presented and an operational categorization of end-use loads is proposed. The existing potential for demand response to a diversified set of management actions is described and a tool to assess the impact of implementing several actions with different rates of penetration of energy management systems is presented. The results obtained show the potential savings for the end-user and expected changes in the load diagram with a decrease of the aggregated peak electricity demand and a smoothed valley.

Ana Soares; lvaro Gomes; Carlos Henggeler Antunes

2014-01-01T23:59:59.000Z

168

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

Science Journals Connector (OSTI)

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

Paddy Finn; Colin Fitzpatrick

2014-01-01T23:59:59.000Z

169

Genetic algorithm-based demand response scheme for electric vehicle charging  

Science Journals Connector (OSTI)

This paper presents a design and evaluates the performance of a charging task scheduler for electric vehicles, aiming at reducing the peak load and improving the service ratio in charging stations. Based on a consumption profile and the real-time task model consisting of actuation time, operation length, and deadline, the proposed scheduler fills the time table, by which the power controller turns on or off the electric connection switch to the vehicle on each time slot boundary. Genetic evolutions yield better results by making the initial population include both heuristic-generated schedules for fast convergence and randomly generated schedules for diversity loss compensation. Our heuristic scheme sequentially fills the time slots having lowest load for different orders such as deadline and operation length. The performance measurement result obtained from a prototype implementation reveals that our scheme can reduce the peak load for the given charging task sets by up to 4.9%, compared with conventional schemes.

Junghoon Lee; Gyung-Leen Park

2013-01-01T23:59:59.000Z

170

Automated Demand Response: The Missing Link in the Electricity Value Chain  

E-Print Network [OSTI]

Missing Link in the Electricity Value Chain Aimee McKane,Missing Link in the Electricity Value Chain Aimee McKane,grid reliability and lower electricity use during periods of

McKane, Aimee

2010-01-01T23:59:59.000Z

171

Automated Demand Response: The Missing Link in the Electricity Value Chain  

E-Print Network [OSTI]

Missing Link in the Electricity Value Chain Aimee McKane*,Missing Link in the Electricity Value Chain Aimee McKane,grid reliability and lower electricity use during periods of

McKane, Aimee

2010-01-01T23:59:59.000Z

172

Where has Electricity Demand Growth Gon in PJM and What are the...  

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

economic conditions and environmental rules - New entry of combined cycle gas and demand response resources...will there be incentives for continued new entry? * Impending GHG...

173

E-Print Network 3.0 - aggregate electricity demand Sample Search...  

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

Distribution and Plants 11 Nordic TSOs' Action Plans in enhancing and monitoring Demand Response Summary: in Norway (draft) Nordel (2003): Statistical analysis of price response...

174

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

175

The Effects of Residential Energy Efficiency on Electric Demand Response Programs  

Science Journals Connector (OSTI)

Design and efficiency of houses can affect the amount of peak load reduction available from a residential demand response program. Twenty-four houses were simulated with varying thermal integrity and air conditioner size during the summer cooling season ... Keywords: demand response, efficiency, residential, hvac, conservation

Ward Jewell

2014-01-01T23:59:59.000Z

176

Novel effects of demand side management data on accuracy of electrical energy consumption modeling and long-term forecasting  

Science Journals Connector (OSTI)

Abstract Worldwide implementation of demand side management (DSM) programs has had positive impacts on electrical energy consumption (EEC) and the examination of their effects on long-term forecasting is warranted. The objective of this study is to investigate the effects of historical DSM data on accuracy of EEC modeling and long-term forecasting. To achieve the objective, optimal artificial neural network (ANN) models based on improved particle swarm optimization (IPSO) and shuffled frog-leaping (SFL) algorithms are developed for EEC forecasting. For long-term EEC modeling and forecasting for the U.S. for 20102030, two historical data types used in conjunction with developed models include (i) EEC and (ii) socio-economic indicators, namely, gross domestic product, energy imports, energy exports, and population for 19672009 period. Simulation results from IPSO-ANN and SFL-ANN models show that using socio-economic indicators as input data achieves lower mean absolute percentage error (MAPE) for long-term EEC forecasting, as compared with EEC data. Based on IPSO-ANN, it is found that, for the U.S. EEC long-term forecasting, the addition of DSM data to socio-economic indicators data reduces MAPE by 36% and results in the estimated difference of 3592.8 MBOE (5849.9TWh) in EEC for 20102030.

F.J. Ardakani; M.M. Ardehali

2014-01-01T23:59:59.000Z

177

Linkages between demand-side management and congestion in the European electricity transmission system  

Science Journals Connector (OSTI)

Abstract We evaluate the possibility to reduce congestion in the transmission grid through large-scale implementation of demand-side management (DSM) in the form of load shifting for the EU-27 countries, Norway, and Switzerland for Year 2020. A linear, cost-minimising, dispatch model that includes a DC load-flow description of the transmission system and a general representation of load shifting is used. It is assumed that the EU Member States fulfil the targets for Year 2020 in their national renewable energy action plans. In the model calculations, a reference case without load shifting is compared with cases in which the load shifting is 5%, 10%, 15% or 20% of the load. The possibility to shift load in time is added exogenously and economic incentives for DSM are not evaluated. Three types of congestion are identified: peak-load-hour congestion, low-load-hour congestion and all-hour congestion. Peak-load-hour congestion is reduced as the DSM share of the load increases, whereas low-load-hour congestion, which is typically associated with a high level of wind generation, persists at all the DSM penetration levels investigated. We show that all-hour congestion occurs between systems that have large differences in supply structure, and that the impact of DSM on all-hour congestion is low.

Lisa Gransson; Joel Goop; Thomas Unger; Mikael Odenberger; Filip Johnsson

2014-01-01T23:59:59.000Z

178

On the impact of urban heat island and global warming on the power demand and electricity consumption of buildingsA review  

Science Journals Connector (OSTI)

Abstract Urban heat island and global warming increase significantly the ambient temperature. Higher temperatures have a serious impact on the electricity consumption of the building sector increasing considerably the peak and the total electricity demand. The present paper aims to collect, analyze and present in a comparative way existing studies investigating the impact of ambient temperature increase on electricity consumption. Analysis of eleven studies dealing with the impact of the ambient temperature on the peak electricity demand showed that for each degree of temperature increase, the increase of the peak electricity load varies between 0.45% and 4.6%. This corresponds to an additional electricity penalty of about 21 (10.4)W per degree of temperature increase and per person. In parallel, analysis of fifteen studies examining the impact of ambient temperature on the total electricity consumption, showed that the actual increase of the electricity demand per degree of temperature increase varies between 0.5% and 8.5%.

M. Santamouris; C. Cartalis; A. Synnefa; D. Kolokotsa

2014-01-01T23:59:59.000Z

179

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

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

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

180

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

2 End Uses of Fuel Consumption, 2006; 2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fuel -- 41 133 23 2,119 8 547 -- Conventional Boiler Use -- 41 71 17 1,281 8 129 -- CHP and/or Cogeneration Process -- -- 62 6 838 1 417 -- Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487

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


181

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

1 End Uses of Fuel Consumption, 2006; 1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use -- 12,109 11 3 1,245 2 6 -- CHP and/or Cogeneration Process

182

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

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

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

183

Controlling market power and price spikes in electricity networks: Demand-side bidding  

Science Journals Connector (OSTI)

...controlled data set with...competition on transmission lines connecting...demand from outages are ignored. Other...losses in transmission and any line constraints...14 days of data by level...when the transmission lines...

Stephen J. Rassenti; Vernon L. Smith; Bart J. Wilson

2003-01-01T23:59:59.000Z

184

Interrelation Between the Accuracy of Prediction and Irregularity of Electric Energy Demand Curves  

Science Journals Connector (OSTI)

Results of a study of the dependence of the accuracy of prediction on daily and seasonal irregularity of demand curves are described. It is shown that in power systems characterized by high irregularity of the...

B. I. Makoklyuev; V. F. Ech

185

Solutions for Summer Electric Power Shortages: Demand Response and its Applications in Air Conditioning and Refrigerating Systems  

E-Print Network [OSTI]

for DR and demand side management, along with operationalresponse), DSM (demand side management), DR strategy, air

Han, Junqiao; Piette, Mary Ann

2008-01-01T23:59:59.000Z

186

The structure of demand for electricity in the Gulf Cooperation Council countries  

SciTech Connect (OSTI)

Electricity is a vital ingredient for the economic and social advancement of all developing nations. The members of Gulf Cooperation Council (GCC) offer no exception. The quantity of electricity consumed in these countries has grown consistently since the 1970s. If past trends are extrapolated to the year 2000, the electricity consumption at the turn of the century will be at least 10-fold the level prevailing the 1970s.

Eltony, M.N.; Mohammad, Y.H.

1993-12-31T23:59:59.000Z

187

Converting 15-Minute Interval Electricity Load Data into Reduced Demand, Energy Reduction and Cash Flow  

E-Print Network [OSTI]

, store managers are intimidated. 5 So what are the solutions? A data acquisition system. Pro-active with alarming and demand-response. Is there staff to maintain and ensure a response? Passive. Acquire the data and then evaluate and assess... is not required, this will prevent the requirement for additional costs of installing an OAT sensor at the building and potentially adding costs to the datalogger hardware or configuration. If possible, it is best to use and on-site OAT sensor. If a demand-response...

Herrin, D. G.

188

Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs  

Science Journals Connector (OSTI)

Abstract The dynamic economic emission dispatch (DEED) of electric power generation is a multi-objective mathematical optimization problem with two objective functions. The first objective is to minimize all the fuel costs of the generators in the power system, whilst the second objective seeks to minimize the emissions cost. Both objective functions are subject to constraints such as load demand constraint, ramp rate constraint, amongst other constraints. In this work, we integrate a game theory based demand response program into the DEED problem. The game theory based demand response program determines the optimal hourly incentive to be offered to customers who sign up for load curtailment. The game theory model has in built mechanisms to ensure that the incentive offered the customers is greater than the cost of interruption while simultaneously being beneficial to the utility. The combined DEED and game theoretic demand response model presented in this work, minimizes fuel and emissions costs and simultaneously determines the optimal incentive and load curtailment customers have to perform for maximal power system relief. The developed model is tested on two test systems with industrial customers and obtained results indicate the practical benefits of the proposed model.

Nnamdi I. Nwulu; Xiaohua Xia

2015-01-01T23:59:59.000Z

189

Electric Demand Reduction for the U.S. Navy Public Works Center San Diego, California  

SciTech Connect (OSTI)

Pacific Northwest National Laboratory investigated the profitability of operating a Navy ship's generators (in San Diego) during high electricity price periods rather than the ships hooking up to the Base electrical system for power. Profitability is predicated on the trade-off between the operating and maintenance cost incurred by the Navy for operating the ship generators and the net profit associated with the sale of the electric power on the spot market. In addition, PNNL assessed the use of the ship's generators as a means to achieve predicted load curtailments, which can then be marketed to the California Independent System Operator.

Kintner-Meyer, Michael CW

2000-09-30T23:59:59.000Z

190

Floating offshore wind farms : demand planning & logistical challenges of electricity generation  

E-Print Network [OSTI]

Floating offshore wind farms are likely to become the next paradigm in electricity generation from wind energy mainly because of the near constant high wind speeds in an offshore environment as opposed to the erratic wind ...

Nnadili, Christopher Dozie, 1978-

2009-01-01T23:59:59.000Z

191

Quantifying Changes in Building Electricity Use, with Application to Demand Response  

E-Print Network [OSTI]

electric loads to deliver load following and regu- lation,6], and regulation/load following [7]), and as DR is used toload as a function of time-of-week and outdoor air temperature. Following

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

192

Testing Electric Vehicle Demand in "Hybrid Households" Using a Reflexive Survey  

E-Print Network [OSTI]

EV market studies In the absenceof data on actual sales,EV, then we expect 16 to 18% annual of of light-duty vehicle salesEV experiments indicate there is still more than adequatepotential marketsfor electric vehicles to have , exceededthe former 1998CARB mandatefor sales

Kurani, Kenneth S.; Turrentine, Thomas; Sperling, Daniel

2001-01-01T23:59:59.000Z

193

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

194

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

annual per-capita electricity consumption by demand15 California electricity consumption projections by demandannual per-capita electricity consumption by demand

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

195

Modeling, Analysis, and Control of Demand Response Resources  

E-Print Network [OSTI]

advanced metering and demand response in electricityGoldman, and D. Kathan. Demand response in U.S. electricity29] DOE. Benefits of demand response in electricity markets

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

196

Modeling, control, and power management of a power electrical system including two distributed generators based on fuel cell and supercapacitor  

Science Journals Connector (OSTI)

This paper focuses on Distributed Generator (DG) integration in Power Electrical System (PES) for dispersed nodes. The main objective of the DG use can be classified into two aspects: a load following service and ancillary service systems. In this study the DG system contains a Fuel cell and a Supercapacitor storage device. A gas turbine system is modeled in order to estimate the PES frequency behavior under a variable power demand. The main goal of this work is to develop a DG control strategy with the aim to smooth the frequency and the voltage peak variations. To assess the different management stages the power flow exchanged between DGs and PES is depicted and discussed for different power demand variations. The results found with the DGs integration strategy confirm the frequency and voltage regulations and also prove the well power flow management.

L. Krichen

2013-01-01T23:59:59.000Z

197

Investigation of Energy Demand Modeling and Management for Local Communities. Investigation of the electricity demand modeling and management including consumption behaviour, dynamic tariffs, and use of renewable energy.  

E-Print Network [OSTI]

??Various forecasting tools, based on historical data, exist for planners of national networks that are very effective in planning national interventions to ensure energy security, (more)

Ihbal, Abdel-Baset Mostafa Imbarek

2012-01-01T23:59:59.000Z

198

Impact of plug-in hybrid electric vehicles on power systems with demand response and wind power.  

SciTech Connect (OSTI)

This paper uses a new unit commitment model which can simulate the interactions among plug-in hybrid electric vehicles (PHEVs), wind power, and demand response (DR). Four PHEV charging scenarios are simulated for the Illinois power system: (1) unconstrained charging, (2) 3-hour delayed constrained charging, (3) smart charging, and (4) smart charging with DR. The PHEV charging is assumed to be optimally controlled by the system operator in the latter two scenarios, along with load shifting and shaving enabled by DR programs. The simulation results show that optimally dispatching the PHEV charging load can significantly reduce the total operating cost of the system. With DR programs in place, the operating cost can be further reduced.

Wang, J.; Liu, C.; Ton, D.; Zhou, Y.; Kim, J.; Vyas, A. (Decision and Information Sciences); ( ES); (ED); (Kyungwon Univ.)

2011-07-01T23:59:59.000Z

199

Electrical Conductivity of Dense Quark Matter with Fluctuations and Magnetic Field Included  

E-Print Network [OSTI]

We investigate the electrical conductivity(EC) of dense quark matter in the vicinity of the phase transition line. We show that: (i) At high density the Drude EC does not depend on the magnetic field up to $eB \\sim 10^{19} \\ G$. (ii) In the precritical region the fluctuation EC (paraconductivity) dominates over the Drude one.

B. O. Kerbikov; M. A. Andreichikov

2014-10-13T23:59:59.000Z

200

Strong permanent magnets provide a backbone technology required many products, including computers, electric cars, and  

E-Print Network [OSTI]

, electric cars, and wind-powered generators. Currently, the strongest permanent magnets contain rare earth for most technologies requiring permanent magnets, due to their high energy product and coercivity. However, and the extreme price volatility in recent years have led scientists to seek alternative formulas for permanent

McQuade, D. Tyler

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


201

Dynamic transport simulation code including plasma rotation and radial electric field  

Science Journals Connector (OSTI)

A new one-dimensional transport code named TASK/TX, which is able to describe dynamic behavior of tokamak plasmas, has been developed. It solves simultaneously a set of flux-surface averaged equations composed of Maxwell's equations, continuity equations, ... Keywords: 52.25.Fi, 52.30.-q, 52.55.Fa, 52.65.-y, Finite element method, Plasma rotation, Radial electric field, SUPG, Transport simulation

M. Honda; A. Fukuyama

2008-02-01T23:59:59.000Z

202

The Boom of Electricity Demand in the Residential Sector in the Developing World and the Potential for Energy Efficiency  

E-Print Network [OSTI]

B. Atanasiu (2006). Electricity Consumption and Efficiencywill see their electricity consumption rise significantly.the bulk of household electricity consumption in developing

Letschert, Virginie

2010-01-01T23:59:59.000Z

203

Electric double layer for spherical particles in salt-free concentrated suspensions including ion size effects  

E-Print Network [OSTI]

The equilibrium electric double layer (EDL) that surrounds the colloidal particles is determinant for the response of a suspension under a variety of static or alternating external fields. An ideal salt-free suspension is composed by the charged colloidal particles and the ionic countercharge released by the charging mechanism. The existing macroscopic theoretical models can be improved by incorporating different ionic effects usually neglected in previous mean-field approaches, which are based on the Poisson-Boltzmann equation (PB). The influence of the finite size of the ions seems to be quite promising because it has been shown to predict phenomena like charge reversal, which has been out of the scope of classical PB approximations. In this work we numerically obtain the surface electric potential and the counterions concentration profiles around a charged particle in a concentrated salt-free suspension corrected by the finite size of the counterions. The results show the large importance of such corrections for moderate to high particle charges at every particle volume fraction, specially, when a region of closest approach of the counterions to the particle surface is considered. We conclude that finite ion size considerations are obeyed for the development of new theoretical models to study nonequilibrium properties in concentrated colloidal suspensions, particularly the salt-free ones with small and highly charged particles.

R. Roa; F. Carrique; E. Ruiz-Reina

2011-02-17T23:59:59.000Z

204

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

and D. Kathan (2009). Demand Response in U.S. ElectricityEnergy Financial Group. Demand Response Research Center [2008). Assessment of Demand Response and Advanced Metering.

Goldman, Charles

2010-01-01T23:59:59.000Z

205

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

SciTech Connect (OSTI)

The development of Energy Efficiency Standards and Labeling (EES&L) began in earnest in India in 2001 with the Energy Conservation Act and the establishment of the Indian Bureau of Energy Efficiency (BEE). The first main residential appliance to be targeted was refrigerators, soon to be followed by room air conditioners. Both of these appliances are of critical importance to India's residential electricity demand. About 15percent of Indian households own a refrigerator, and sales total about 4 million per year, but are growing. At the same time, the Indian refrigerator market has seen a strong trend towards larger and more consumptive frost-free units. Room air conditioners in India have traditionally been sold to commercial sector customers, but an increasing number are going to the residential sector. Room air conditioner sales growth in India peaked in the last few years at 20percent per year. In this paper, we perform an engineering-based analysis using data specific to Indian appliances. We evaluate costs and benefits to residential and commercial sector consumers from increased equipment costs and utility bill savings. The analysis finds that, while the BEE scheme presents net benefits to consumers, there remain opportunities for efficiency improvement that would optimize consumer benefits, according to Life Cycle Cost analysis. Due to the large and growing market for refrigerators and air conditioners in India, we forecast large impacts from the standards and labeling program as scheduled. By 2030, this program, if fully implemented would reduce Indian residential electricity consumption by 55 TWh. Overall savings through 2030 totals 385 TWh. Finally, while efficiency levels have been set for several years for refrigerators, labels and MEPS for these products remain voluntary. We therefore consider the negative impact of this delay of implementation to energy and financial savings achievable by 2030.

McNeil, Michael A.; Iyer, Maithili

2009-05-30T23:59:59.000Z

206

A Hierarchical Demand Response Framework for Data Center Power Cost Optimization Under Real-World Electricity Pricing  

E-Print Network [OSTI]

1 A Hierarchical Demand Response Framework for Data Center Power Cost Optimization Under Real bills. Our focus is on a subset of this work that carries out demand response (DR) by modulating

Urgaonkar, Bhuvan

207

A Hierarchical Demand Response Framework for Data Center Power Cost Optimization Under Real-World Electricity Pricing  

E-Print Network [OSTI]

1 A Hierarchical Demand Response Framework for Data Center Power Cost Optimization Under Real for optimizing their utility bills. Our focus is on a subset of this work that carries out demand response (DR

Urgaonkar, Bhuvan

208

National Action Plan on Demand Response  

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

David Kathan, Ph.D David Kathan, Ph.D Federal Energy Regulatory Commission U.S. DOE Electricity Advisory Committee October 29, 2010 Demand Response as Power System Resources The author's views do not necessarily represent the views of the Federal Energy Regulatory Commission 2 Demand Response * FERC (Order 719) defines demand response as: - A reduction in the consumption of electric energy by customers from their expected consumption in response to an increase in the price of electric energy or to in incentive payments designed to induce lower consumption of electric energy. * The National Action Plan on Demand Response released by FERC staff broadens this definition to include - Consumer actions that can change any part of the load profile of a utility or region, not just the period of peak usage

209

High-Performance with Solar Electric Reduced Peak Demand: Premier Homes Rancho Cordoba, CA- Building America Top Innovation  

Broader source: Energy.gov [DOE]

This Building America Innovations profile describes Building America solar home research that has demonstrated the ability to reduce peak demand by 75%. Numerous field studies have monitored power production and system effectiveness.

210

The use of electrical resistance in the plant stem to measure plant response to soil moisture tension and evaporative demand  

E-Print Network [OSTI]

. . . . . . , . . . . . . ~. . . . . . . . . 30 10- Diurnal cotton plant stem electrical resistance readings as recorded simultaneously from three soil moisture levels. ~ 36 Flot 1-P (cotton), Diurnal cotton plant stem electrical resistance readings with soil moisture tension equal to 13... atsespheresl ~ ~ a ~ ~ ~ ~ ~ . ~ ~ ~ ~ ta ~ I ~ ~ ~ t ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ae ~ ~ ~ a ~ ~ t ~ ~ ~ ~ 37 13 ' Electrical resistance in the plant stem, and evapotrans- piration in non-irrigated and irrigated cotton plots during one diurnal period. . ~ 39 Plots...

Box, James E.

1956-01-01T23:59:59.000Z

211

Thermal Energy Storage for Electricity Peak-demand Mitigation: A Solution in Developing and Developed World Alike  

E-Print Network [OSTI]

N ATIONAL L ABORATORY Thermal Energy Storage for Electricity20, 2012. I. Dincer, On thermal energy storage systems andin research on cold thermal energy storage, International

DeForest, Nicholas

2014-01-01T23:59:59.000Z

212

Demand Response-Enabled Model Predictive HVAC Load Control in Buildings using Real-Time Electricity Pricing.  

E-Print Network [OSTI]

??A practical cost and energy efficient model predictive control (MPC) strategy is proposed for HVAC load control under dynamic real-time electricity pricing. The MPC strategy (more)

Avci, Mesut

2013-01-01T23:59:59.000Z

213

Hot Thermal Storage/Selective Energy System Reduces Electric Demand for Space Cooling As Well As Heating in Commercial Application  

E-Print Network [OSTI]

energy and off-peak electric resistance heating. Estimated energy and first cost savings, as compared with an all-electric VAV HVAC system, are: 30 to 50% in ductwork size and cost; 30% in fan energy; 25% in air handling equipment; 20 to 40% in utility...

Meckler, G.

1985-01-01T23:59:59.000Z

214

The Costs, Air Quality, and Human Health Effects of Meeting Peak Electricity Demand with Installed Backup Generators  

Science Journals Connector (OSTI)

E.G. thanks John Dawson, Rob Pinder, and Pavan Racherla for assistance with the PMCAMx model, and Janet Joseph, Peter Savio, and Gunnar Walmet from NYSERDA for useful information about backup generators and emergency demand response programs in New York City. ...

Elisabeth A. Gilmore; Lester B. Lave; Peter J. Adams

2006-10-21T23:59:59.000Z

215

Including fuel price elasticity of demand in net present value and payback time calculations of thermal retrofits: Case study of German dwellings  

Science Journals Connector (OSTI)

In the domestic heating sector a number of different mathematical models are used to evaluate the economic viability of thermal retrofit measures. Currently, however, none of these models incorporate the effect of fuel price elasticity of demand. This paper offers a method for incorporating a factor for fuel price elasticity into models for assessing the net present value and payback time of thermal retrofits of existing homes. A set of working equations is developed, and empirically tested in a case study, a housing estate retrofit project in Ludwigshafen, Germany. The value used in these equations for year-on-year price elasticity, ?0.476, is derived from further empirical studies. The inclusion of price elasticity is found to lower the net present value by 1424% and lengthen the payback time by 5 years in some cases, and hundreds of years in others. It also shows CO2 saved over the technical lifetime of the retrofit measures to be 1524% lower than anticipated. These findings have implications for government policy and investment decisions of businesses, private households and housing providers.

Ray Galvin; Minna Sunikka-Blank

2012-01-01T23:59:59.000Z

216

Mass Market Demand Response  

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

Mass Market Demand Response Mass Market Demand Response Speaker(s): Karen Herter Date: July 24, 2002 - 12:00pm Location: Bldg. 90 Demand response programs are often quickly and poorly crafted in reaction to an energy crisis and disappear once the crisis subsides, ensuring that the electricity system will be unprepared when the next crisis hits. In this paper, we propose to eliminate the event-driven nature of demand response programs by considering demand responsiveness a component of the utility obligation to serve. As such, demand response can be required as a condition of service, and the offering of demand response rates becomes a requirement of utilities as an element of customer service. Using this foundation, we explore the costs and benefits of a smart thermostat-based demand response system capable of two types of programs: (1) a mandatory,

217

Energy and Demand Savings from Implementation Costs in Industrial Facilities  

E-Print Network [OSTI]

, electrical consumption, demand and fees were tracked separately. The remaining data include only one energy stream (e.g., natural gas) in each code [6]. Table 1. Energy Streams STREAM CODE Electrical Consumption EC Electrical Demand ED Other... Electrical Fees EF Electricity E1 Natural Gas E2 L.P.G. E3 #1 Fuel Oil E4 #2 Fuel Oil E5 #4 Fuel Oil E6 #6 Fuel Oil E7 Coal E8 Wood E9 Paper E10 Other Gas E11 Other Energy E12 ESL-IE-00-04-17 Proceedings from the Twenty-second National...

Razinha, J. A.; Heffington, W. M.

218

Demand-Side Management Expenditures and the Market Value of U.S. Electric Utilities: Strategic Investment or Disinvestment?  

Science Journals Connector (OSTI)

For over eighty years the vertically integrated suppliers of electricity in the United States have been assigned exclusive territorial (consumer) franchises and closely regulated. Both the legal monopolies and th...

Douglas A. Houston

1998-01-01T23:59:59.000Z

219

Demand Response - Policy: More Information | Department of Energy  

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

Demand Response - Policy: More Information Demand Response - Policy: More Information Demand Response - Policy: More Information OE's commitment to ensuring non-wires options to modernize the nation's electricity delivery system includes ongoing support of a number of national and regional activities in support of demand response. The New England Demand Response Initiative (NEDRI), OE's initial endeavor to assist states with non-wire solutions, was created to develop a comprehensive, coordinated set of demand response programs for the New England regional power markets. NEDRI's goal was to outline workable market rules, public policies, and regulatory criteria to incorporate customer-based demand response resources into New England's electricity markets and power systems. NEDRI promoted best practices and coordinated

220

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

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


221

Statewide Electrical Energy Cost Savings and Peak Demand Reduction from the IECC Code-Compliant, Single-Family Residences in Texas (2002-2009)  

E-Print Network [OSTI]

peaking plant (i.e., capacity savings), the calculated demand savings in MW were then multiplied by the average capital cost of natural gas combined cycle power plant, $1,165 per kW (Kaplan, 2008) using a 15% reserve margin (Faruqui et al. 2007... to the 2001 and 2006 IECC codes. 72?F Heating, 75?F CoolingSpace Temperature Set point (Simulation adjustment3: Heating 72F, Cooling 75F) (b) Heat Pump House: 0.904 360 0.88 kW (Simulation adjustment3: 1.095 kW) HVAC System Type (a) Electric/Gas...

Kim, H; Baltazar, J.C.; Haberl, J.

222

Demand Response - Policy | Department of Energy  

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

Demand Response - Policy Demand Response - Policy Since its inception, the Office of Electricity Delivery and Energy Reliability (OE) has been committed to modernizing the nation's...

223

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

224

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

225

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

226

The Role of Demand Response in Default Service Pricing  

E-Print Network [OSTI]

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

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2008-01-01T23:59:59.000Z

227

Demand Response Assessment INTRODUCTION  

E-Print Network [OSTI]

Demand Response Assessment INTRODUCTION This appendix provides more detail on some of the topics raised in Chapter 4, "Demand Response" of the body of the Plan. These topics include 1. The features, advantages and disadvantages of the main options for stimulating demand response (price mechanisms

228

Control Strategy for Domestic Water Heaters during Peak Periods and its Impact on the Demand for Electricity  

Science Journals Connector (OSTI)

Because they store hot water, water heaters are easily-shifted loads that can be controlled to reduce peak demands. However, load shifting may have some detrimental consequences on the domestic hot water supply temperature if the heating element is deactivated for a long period of time. Furthermore, a new peak may be caused if a significant number of heaters are reactivated at the same time. This study presents a control strategy for water heaters that minimizes the pick-up demand when the heating elements are reactivated at the end of a load shifting period and that ensures, in all cases, the client's hot water supply. The study is based on a simulation model of a water heater that was experimentally validated and takes into account the diversity of the population's hot water withdrawal profile. More specifically, the data of 8,167 real water withdrawal profiles of several clients were input into the simulation model in order to evaluate the performance of water heaters under different operating conditions.

Alain Moreau

2011-01-01T23:59:59.000Z

229

Overview of Demand Side Response | Department of Energy  

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

and Energy Officials Need to Know High Electric Demand Days: Clean Energy Strategies for Improving Air Quality Demand Response in U.S. Electricity Markets: Empirical Evidence...

230

Uranium 2009 resources, production and demand  

E-Print Network [OSTI]

With several countries currently building nuclear power plants and planning the construction of more to meet long-term increases in electricity demand, uranium resources, production and demand remain topics of notable interest. In response to the projected growth in demand for uranium and declining inventories, the uranium industry the first critical link in the fuel supply chain for nuclear reactors is boosting production and developing plans for further increases in the near future. Strong market conditions will, however, be necessary to trigger the investments required to meet projected demand. The "Red Book", jointly prepared by the OECD Nuclear Energy Agency and the International Atomic Energy Agency, is a recognised world reference on uranium. It is based on information compiled in 40 countries, including those that are major producers and consumers of uranium. This 23rd edition provides a comprehensive review of world uranium supply and demand as of 1 January 2009, as well as data on global ur...

Organisation for Economic Cooperation and Development. Paris

2010-01-01T23:59:59.000Z

231

Impact of a solar domestic hot water demand-side management program on an electric utility and its customers  

SciTech Connect (OSTI)

A methodology to assess the economic and environmental impacts of a large scale implementation of solar domestic hot water (SDHW) systems is developed. Energy, emission and demand reductions and their respective savings are quantified. It is shown that, on average, an SDHW system provides an energy reduction of about 3200 kWH, avoided emissions of about 2 tons and a capacity contribution of 0.7 kW to a typical Wisconsin utility that installs 5000 SDHW system. The annual savings from these reductions to utility is {dollar_sign}385,000, providing a return on an investment of over 20{percent}. It is shown that, on average, a consumer will save {dollar_sign}211 annually in hot water heating bills. 8 refs., 7 figs.

Trzeniewski, J.; Mitchell, J.W.; Klein, S.A.; Beckman, W.A.

1996-09-01T23:59:59.000Z

232

LBNL/ PUB 3000 Chapter 8 Questions on Electrical Cords 2010 Questions have been asked about electrical safety that includes extension cords,  

E-Print Network [OSTI]

LBNL/ PUB 3000 Chapter 8 ­ Questions on Electrical Cords 2010 Questions have been asked about at the lab out of Pub 3000 chapter 8 & 10 Chapter 8 ELECTRICAL SAFETY Contents Approved by Keith Gershon construction sites, in damp areas, or in an area where a person may be in direct contact with a solidly

Knowles, David William

233

NREL: Energy Analysis: Electric System Flexibility and Storage  

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

Electric System Flexibility and Storage Electric System Flexibility and Storage Options for Increasing Electric System Flexibility to Accommodate Higher Levels of Variable Renewable Electricity Increased electric system flexibility, needed to enable electricity supply-demand balance with high levels of renewable generation, can come from a portfolio of supply- and demand-side options, including flexible conventional generation, grid storage, curtailment of some renewable generation, new transmission, and more responsive loads. NREL's electric system flexibility studies investigate the role of various electric system flexibility options on large-scale deployment of renewable energy. NREL's electric system flexibility analyses show that: Key factors in improving grid flexibility include (1) increasing the

234

Energy-efficiency standards for homes have the potential to reduce energy consumption and peak electrical demand.  

E-Print Network [OSTI]

The Issue Energy-efficiency standards for homes have the potential to reduce energy consumption HVAC system efficiency, including problems with airflows, refrigerant system components, and ductwork standards, but little data is available on the actu- al energy performance of new homes. The Solution

235

Best practices and research for handling demand response security issues in the smart grid.  

E-Print Network [OSTI]

??When electricity demand is peak, utilities and other electric Independent Systems Operators (ISOs) keep electric generators on-line in order to meet the high demand. In (more)

Asavachivanthornkul, Prakarn

2010-01-01T23:59:59.000Z

236

Construction of a Demand Side Plant with Thermal Energy Storage  

E-Print Network [OSTI]

storage and its potential impact on the electric utilities and introduces the demand side plant concept....

Michel, M.

1989-01-01T23:59:59.000Z

237

Opportunities, Barriers and Actions for Industrial Demand Response in California  

E-Print Network [OSTI]

industrial demand response (DR) with energy efficiency (EE) to most effectively use electricity and natural gas

McKane, Aimee T.

2009-01-01T23:59:59.000Z

238

Demand side management in smart grid: A review and proposals for future direction  

Science Journals Connector (OSTI)

Abstract This paper mainly focuses on demand side management and demand response, including drivers and benefits, shiftable load scheduling methods and peak shaving techniques. Demand side management techniques found in literature are overviewed and a novel electricity demand control technique using real-time pricing is proposed. Currently users have no means to change their power consumption to benefit the whole system. The proposed method consists of modern system identification and control that would enable user side load control. This would potentially balance demand side with supply side more effectively and would also reduce peak demand and make the whole system more efficient.

Linas Gelazanskas; Kelum A.A. Gamage

2014-01-01T23:59:59.000Z

239

EV Project Electric Vehicle Charging Infrastructure Summary Report...  

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

Max electricity demand across all days Min electricity demand across all days Electricity demand on single calendar day with highest peak Charging Unit Usage Residential Level 2...

240

Equity Effects of Increasing-Block Electricity Pricing  

E-Print Network [OSTI]

Evidence from Residential Electricity Demand, Review ofLester D. The Demand for Electricity: A Survey, The BellResidential Demand for Electricity under Inverted Block

Borenstein, Severin

2008-01-01T23:59:59.000Z

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


241

Energy demand  

Science Journals Connector (OSTI)

The basic forces pushing up energy demand are population increase and economic growth. From ... of these it is possible to estimate future energy requirements.

Geoffrey Greenhalgh

1980-01-01T23:59:59.000Z

242

Flexible Demand Management under Time-Varying Prices  

E-Print Network [OSTI]

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

Liang, Yong

2012-01-01T23:59:59.000Z

243

Automated Demand Response and Commissioning  

SciTech Connect (OSTI)

This paper describes the results from the second season of research to develop and evaluate the performance of new Automated Demand Response (Auto-DR) hardware and software technology in large facilities. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve the electric grid reliability and manage electricity costs. Fully-Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. We refer to this as Auto-DR. The evaluation of the control and communications must be properly configured and pass through a set of test stages: Readiness, Approval, Price Client/Price Server Communication, Internet Gateway/Internet Relay Communication, Control of Equipment, and DR Shed Effectiveness. New commissioning tests are needed for such systems to improve connecting demand responsive building systems to the electric grid demand response systems.

Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

2005-04-01T23:59:59.000Z

244

ELECTRIC  

Office of Legacy Management (LM)

ELECTRIC ELECTRIC cdrtrokArJclaeT 3 I+ &i, y$ \I &OF I*- j< t j,fci..- ir )(yiT !E-li, ( \-,v? Cl -p/4.4 RESEARCH LABORATORIES EAST PITTSBURGH, PA. 8ay 22, 1947 Mr. J. Carrel Vrilson General ?!!mager Atomic Qxzgy Commission 1901 Constitution Avenue Kashington, D. C. Dear Sir: In the course of OUT nuclenr research we are planning to study the enc:ri;y threshold anti cross section for fission. For thib program we require a s<>piAroted sample of metallic Uranium 258 of high purity. A quantity of at lezst 5 grams would probably be sufficient for our purpose, and this was included in our 3@icntion for license to the Atonic Energy Coskqission.. This license has been approved, 2nd rre would Llp!Jreciate informztion as to how to ?r*oceed to obtain thit: m2teria.l.

245

Energy demand simulation for East European countries  

Science Journals Connector (OSTI)

The analysis and created statistical models of energy consumption tendencies in the European Union (EU25), including new countries in transition, are presented. The EU15 market economy countries and countries in transition are classified into six clusters by relative indicators of Gross Domestic Product (GDP/P) and energy demand (W/P) per capita. The specified statistical models of energy intensity W/GDP non-linear stochastic tendencies have been discovered with respect to the clusters of classified countries. The new energy demand simulation models have been developed for the demand management in time??territory hierarchy in various scenarios of short-term and long-term perspective on the basis of comparative analysis methodology. The non-linear statistical models were modified to GDP, W/P and electricity (E/P) final consumption long-term forecasts for new associated East European countries and, as an example, for the Baltic Countries, including Lithuania.

Jonas Algirdas Kugelevicius; Algirdas Kuprys; Jonas Kugelevicius

2007-01-01T23:59:59.000Z

246

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA

247

Q:\asufinal_0107_demand.vp  

Gasoline and Diesel Fuel Update (EIA)

00 00 (AEO2000) Assumptions to the January 2000 With Projections to 2020 DOE/EIA-0554(2000) Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Natural Gas Transmission and Distribution

248

Modeling Electric Vehicle Benefits Connected to Smart Grids  

E-Print Network [OSTI]

the commercial building electricity costs distributed energydegradation costs electricity sales fixed electricity costsvariable electricity costs (energy and demand charges) EV

Stadler, Michael

2012-01-01T23:59:59.000Z

249

The business value of demand response for balance responsible parties.  

E-Print Network [OSTI]

?? By using IT-solutions, the flexibility on the demand side in the electrical systems could be increased. This is called demand response and is part (more)

Jonsson, Mattias

2014-01-01T23:59:59.000Z

250

Aggregator-Assisted Residential Participation in Demand Response Program.  

E-Print Network [OSTI]

??The demand for electricity of a particular location can vary significantly based on season, ambient temperature, time of the day etc. High demand can result (more)

Hasan, Mehedi

2012-01-01T23:59:59.000Z

251

Modeling, Analysis, and Control of Demand Response Resources.  

E-Print Network [OSTI]

??While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can plan an active role in (more)

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

252

Modeling, Analysis, and Control of Demand Response Resources.  

E-Print Network [OSTI]

?? While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can plan an active role (more)

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

253

Industrial Equipment Demand and Duty Factors  

E-Print Network [OSTI]

Demand and duty factors have been measured for selected equipment (air compressors, electric furnaces, injection molding machines, centrifugal loads, and others) in industrial plants. Demand factors for heavily loaded air compressors were near 100...

Dooley, E. S.; Heffington, W. M.

254

Harnessing the power of demand  

SciTech Connect (OSTI)

Demand response can provide a series of economic services to the market and also provide ''insurance value'' under low-likelihood, but high-impact circumstances in which grid reliablity is enhanced. Here is how ISOs and RTOs are fostering demand response within wholesale electricity markets. (author)

Sheffrin, Anjali; Yoshimura, Henry; LaPlante, David; Neenan, Bernard

2008-03-15T23:59:59.000Z

255

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

Vehicle Conventional and Alternative Fuel Response Simulatormodified to include alternative fuel demand scenarios (whichvehicle adoption and alternative fuel demand) later in the

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

256

EIA - AEO2010 - Natural Gas Demand  

Gasoline and Diesel Fuel Update (EIA)

Gas Demand Gas Demand Annual Energy Outlook 2010 with Projections to 2035 Natural Gas Demand Figure 68. Regional growth in nonhydroelectric renewable electricity capacity including end-use capacity, 2008-2035 Click to enlarge » Figure source and data excel logo Figure 69. Annual average lower 48 wellhead and Henry Hub spot market prices for natural gas, 1990-2035. Click to enlarge » Figure source and data excel logo Figure 70. Ratio of low-sulfur light crude oil price to Henry Hub natural gas price on an energy equivalent basis, 1990-2035 Click to enlarge » Figure source and data excel logo Figure 71. Annual average lower 48 wellhead prices for natural gas in three technology cases, 1990-2035. Click to enlarge » Figure source and data excel logo Figure 72. Annual average lower 48 wellhead prices for natural gas in three oil price cases, 1990-2035

257

Demand Side Bidding. Final Report  

SciTech Connect (OSTI)

This document sets forth the final report for a financial assistance award for the National Association of Regulatory Utility Commissioners (NARUC) to enhance coordination between the building operators and power system operators in terms of demand-side responses to Location Based Marginal Pricing (LBMP). Potential benefits of this project include improved power system reliability, enhanced environmental quality, mitigation of high locational prices within congested areas, and the reduction of market barriers for demand-side market participants. NARUC, led by its Committee on Energy Resources and the Environment (ERE), actively works to promote the development and use of energy efficiency and clean distributive energy policies within the framework of a dynamic regulatory environment. Electric industry restructuring, energy shortages in California, and energy market transformation intensifies the need for reliable information and strategies regarding electric reliability policy and practice. NARUC promotes clean distributive generation and increased energy efficiency in the context of the energy sector restructuring process. NARUC, through ERE's Subcommittee on Energy Efficiency, strives to improve energy efficiency by creating working markets. Market transformation seeks opportunities where small amounts of investment can create sustainable markets for more efficient products, services, and design practices.

Spahn, Andrew

2003-12-31T23:59:59.000Z

258

Cooperative Demand Response Using RepeatedGame for Price-Anticipating Buildings in Smart Grid  

E-Print Network [OSTI]

E. El-Saadany, A summary of demand response in electricityYang, and X. Guan, Optimal demand response scheduling withwith application to demand response, IEEE Transactions on

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

2014-01-01T23:59:59.000Z

259

Estimating Demand Response Market Potential Among Large Commercial and Industrial Customers: A Scoping Study  

E-Print Network [OSTI]

2001. Electricity Demand Side Management Study: Review ofEpping/North Ryde Demand Side Management Scoping Study:Energy Agency Demand Side Management (IEA DSM) Programme:

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

260

Demand Response This is the first of the Council's power plans to treat demand response as a resource.1  

E-Print Network [OSTI]

Demand Response This is the first of the Council's power plans to treat demand response the resource and describes some of the potential advantages and problems of the development of demand response. WHAT IS DEMAND RESPONSE? Demand response is a change in customers' demand for electricity corresponding

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


261

Japan's Residential Energy Demand Outlook to 2030 Considering Energy Efficiency Standards "Top-Runner Approach"  

E-Print Network [OSTI]

Energy Source Demand per Household Coal, Oil, Gas, Heat, Electricity Total Energy Source Demand Coal, Oil, Gas, Heat, Electricity Demography Japan

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

262

Demand Response (transactional control) - Energy Innovation Portal  

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

Transmission Electricity Transmission Find More Like This Return to Search Demand Response (transactional control) Pacific Northwest National Laboratory Contact PNNL About...

263

Close electric fields and lightning-induced voltages predicted by a return-stroke model including corona and nonlinear channel resistance  

Science Journals Connector (OSTI)

Abstract In this paper, a return-stroke model based on nonuniform transmission line theory that includes nonlinear losses and corona is used for calculating close electric fields and lightning-induced voltages on an overhead line. A study is performed to identify the influence of return-stroke corona on close electric fields and line overvoltages considering different model assumptions. It is shown that the consideration of corona affects the attenuation and distortion of the return-stroke current. Close vertical electric fields predicted by the model present waveforms, peak values, and decay with distance that are in agreement with measured data. A simpler case in which the return-stroke speed is artificially set to a prescribed value by controlling the inductance and capacitance of the channel is shown to lead to results that are in agreement with the complete return-stroke model considering nonlinear losses and corona. Similar conclusions apply to popular engineering return-stroke models typically used in lightning-induced voltage calculations provided the return-stroke speed is suitably adjusted. It is also shown that lightning-induced voltages calculated with the considered model are in good agreement with experimental data.

Alberto De Conti; Fernando H. Silveira; Silvrio Visacro

2014-01-01T23:59:59.000Z

264

Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

page intentionally left blank page intentionally left blank 69 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), buses, freight and passenger aircraft, freight and passenger rail, freight shipping, and miscellaneous

265

EV Project Electric Vehicle Charging Infrastructure Summary Report...  

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

all days Percentage of charging units connected on single calendar day with peak electricity demand Charging Demand: Range of Aggregate Electricity Demand versus Time of Day...

266

Secure Demand Shaping for Smart Grid On constructing probabilistic demand response schemes  

E-Print Network [OSTI]

Secure Demand Shaping for Smart Grid On constructing probabilistic demand response schemes. Developing novel schemes for demand response in smart electric gird is an increasingly active research area/SCADA for demand response in smart infrastructures face the following dilemma: On one hand, in order to increase

Sastry, S. Shankar

267

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Demand Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Demand Module calculates energy consumption for the four Census Regions (see Figure 5) and disaggregates the energy consumption

268

demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

269

NCEP_Demand_Response_Draft_111208.indd  

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

National Council on Electricity Policy: Electric Transmission Series for State Offi National Council on Electricity Policy: Electric Transmission Series for State Offi cials Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Offi cials Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Offi cials Prepared by the U.S. Demand Response Coordinating Committee for The National Council on Electricity Policy Fall 2008 i National Council on Electricity Policy: Electric Transmission Series for State Offi cials Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Offi cials The National Council on Electricity Policy is funded by the U.S. Department of Energy and the U.S. Environmental Protection Agency. The views and opinions expressed herein are strictly those of the

270

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

271

Security and privacy in demand response systems in smart grid.  

E-Print Network [OSTI]

??Demand response programs are used in smart grid to improve stability of the electric grid and to reduce consumption of electricity and costs during peak (more)

Paranjpe, Mithila

2011-01-01T23:59:59.000Z

272

The Important Participants in Demand-Side Management: Power Consumers  

Science Journals Connector (OSTI)

Electric power consumers are the basis for demand-side management (DSM) practice. Increased power consumption efficiency...

Zhaoguang Hu; Xinyang Han; Quan Wen

2013-01-01T23:59:59.000Z

273

Configuring load as a resource for competitive electricity markets--Review of demand response programs in the U.S. and around the world  

E-Print Network [OSTI]

emergencies (see Table 2). Xcels Electric Reduction Savingsinstead, operated so that Xcel could avoid exceeding MAPPElectricity Cooperative Xcel Energy Investor-Owned Utility

Heffner, Grayson C.

2002-01-01T23:59:59.000Z

274

Building America Top Innovations Hall of Fame Profile … High-Performance with Solar Electric Reduced Peak Demand: Premier Homes Rancho Cordoba, CA  

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

95 homes in Premier Gardens are 95 homes in Premier Gardens are equipped with photovoltaic panels that take advantage of solar energy to offset peak power loads during the hottest part of the day. As the housing market continues to evolve toward zero net-energy ready homes, Building America research has provided essential guidance for integrating renewable energy systems with high-performance homes and showing how they align with utility peak-demand reduction interests. Solar photovoltaic technology is an attractive option for utilities because they can reduce reliance on fossil-fuel energy. More significantly, it reduces peak demand because systems produce the most power on sunny summer afternoons coincident with the highest demand for air conditioning. Photovoltaic systems have been a part of several research projects conducted by

275

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 39 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial.

276

Demand Response  

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

Assessment for Eastern Interconnection Youngsun Baek, Stanton W. Hadley, Rocio Martinez, Gbadebo Oladosu, Alexander M. Smith, Fran Li, Paul Leiby and Russell Lee Prepared for FY12 DOE-CERTS Transmission Reliability R&D Internal Program Review September 20, 2012 2 Managed by UT-Battelle for the U.S. Department of Energy DOE National Laboratory Studies Funded to Support FOA 63 * DOE set aside $20 million from transmission funding for national laboratory studies. * DOE identified four areas of interest: 1. Transmission Reliability 2. Demand Side Issues 3. Water and Energy 4. Other Topics * Argonne, NREL, and ORNL support for EIPC/SSC/EISPC and the EISPC Energy Zone is funded through Area 4. * Area 2 covers LBNL and NREL work in WECC and

277

Demand Response and Open Automated Demand Response  

E-Print Network [OSTI]

LBNL-3047E Demand Response and Open Automated Demand Response Opportunities for Data Centers G described in this report was coordinated by the Demand Response Research Center and funded by the California. Demand Response and Open Automated Demand Response Opportunities for Data Centers. California Energy

278

Electricity Monthly Update  

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

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

279

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....

280

ELECTRIC  

Office of Legacy Management (LM)

you nay give us will be greatly uppreckted. VPry truly your23, 9. IX. Sin0j3, Mtinager lclectronics and Nuclear Physics Dept. omh , WESTINGHOUSE-THE NAT KING IN ELECTRICITY...

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


281

Demand Response Spinning Reserve Demonstration  

SciTech Connect (OSTI)

The Demand Response Spinning Reserve project is a pioneeringdemonstration of how existing utility load-management assets can providean important electricity system reliability resource known as spinningreserve. Using aggregated demand-side resources to provide spinningreserve will give grid operators at the California Independent SystemOperator (CAISO) and Southern California Edison (SCE) a powerful, newtool to improve system reliability, prevent rolling blackouts, and lowersystem operating costs.

Eto, Joseph H.; Nelson-Hoffman, Janine; Torres, Carlos; Hirth,Scott; Yinger, Bob; Kueck, John; Kirby, Brendan; Bernier, Clark; Wright,Roger; Barat, A.; Watson, David S.

2007-05-01T23:59:59.000Z

282

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

4 4 The commercial module forecasts consumption by fuel 15 at the Census division level using prices from the NEMS energy supply modules, and macroeconomic variables from the NEMS Macroeconomic Activity Module (MAM), as well as external data sources (technology characterizations, for example). Energy demands are forecast for ten end-use services 16 for eleven building categories 17 in each of the nine Census divisions (see Figure 5). The model begins by developing forecasts of floorspace for the 99 building category and Census division combinations. Next, the ten end-use service demands required for the projected floorspace are developed. The electricity generation and water and space heating supplied by distributed generation and combined heat and power technologies are projected. Technologies are then

283

Findings from the 2004 Fully Automated Demand Response Tests in Large  

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

the 2004 Fully Automated Demand Response Tests in Large the 2004 Fully Automated Demand Response Tests in Large Facilities Title Findings from the 2004 Fully Automated Demand Response Tests in Large Facilities Publication Type Report LBNL Report Number LBNL-58178 Year of Publication 2005 Authors Piette, Mary Ann, David S. Watson, Naoya Motegi, and Norman Bourassa Date Published 10/18/2005 Keywords market sectors, technologies Abstract This report describes the results of the second season of research to develop and evaluate the performance of new Automated Demand Response (Auto-DR) hardware and software technology in large facilities. Demand Response (DR) is a set of time dependant activities that reduce or shift electricity use to improve electric grid reliability, manage electricity costs, and provide systems that encourage load shifting or shedding during times when the electric grid is near its capacity or electric prices are high. Demand Response is a subset of demand side management, which also includes energy efficiency and conservation. The overall goal of this research project was to support increased penetration of DR in large facilities through the use of automation and better understanding of DR technologies and strategies in large facilities. To achieve this goal, a set of field tests were designed and conducted. These tests examined the performance of Auto-DR systems that covered a diverse set of building systems, ownership and management structures, climate zones, weather patterns, and control and communication configurations.

284

Commercial & Industrial Demand Response  

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

Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response...

285

The alchemy of demand response: turning demand into supply  

SciTech Connect (OSTI)

Paying customers to refrain from purchasing products they want seems to run counter to the normal operation of markets. Demand response should be interpreted not as a supply-side resource but as a secondary market that attempts to correct the misallocation of electricity among electric users caused by regulated average rate tariffs. In a world with costless metering, the DR solution results in inefficiency as measured by deadweight losses. (author)

Rochlin, Cliff

2009-11-15T23:59:59.000Z

286

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

287

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

288

A Dynamic household Alternative-fuel Vehicle Demand Model Using Stated and Revealed Transaction Information  

E-Print Network [OSTI]

Potential Demand for Electric Cars, Journal of Economrtricsand one large car) and one mini electric car. The two modelsscenarios: (i) a subcompact electric car is introduced to

Sheng, Hongyan

1999-01-01T23:59:59.000Z

289

Reliability implications of price responsive demand : a study of New England's power system  

E-Print Network [OSTI]

With restructuring of the traditional, vertically integrated electricity industry come new opportunities for electricity demand to actively participate in electricity markets. Traditional definitions of power system ...

Whitaker, Andrew C. (Andrew Craig)

2011-01-01T23:59:59.000Z

290

Demand Response Programs, 6. edition  

SciTech Connect (OSTI)

The report provides a look at the past, present, and future state of the market for demand/load response based upon market price signals. It is intended to provide significant value to individuals and companies who are considering participating in demand response programs, energy providers and ISOs interested in offering demand response programs, and consultants and analysts looking for detailed information on demand response technology, applications, and participants. The report offers a look at the current Demand Response environment in the energy industry by: defining what demand response programs are; detailing the evolution of program types over the last 30 years; discussing the key drivers of current initiatives; identifying barriers and keys to success for the programs; discussing the argument against subsidization of demand response; describing the different types of programs that exist including:direct load control, interruptible load, curtailable load, time-of-use, real time pricing, and demand bidding/buyback; providing examples of the different types of programs; examining the enablers of demand response programs; and, providing a look at major demand response programs.

NONE

2007-10-15T23:59:59.000Z

291

California Baseline Energy Demands to 2050 for Advanced Energy Pathways  

E-Print Network [OSTI]

residential electricity consumption include disaggregationfor annual residential electricity consumption through 2050.Saturation and unit electricity consumption are projected

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

292

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network [OSTI]

Efficiency in Electricity Consumption", HWWA Discussionelectricity includes electricity consumption plus thedistribution. Total electricity consumption represents 1,654

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

293

Demand side management of a domestic dishwasher: Wind energy gains, financial savings and peak-time load reduction  

Science Journals Connector (OSTI)

Ireland is currently striving to achieve an ambitious target of supplying 40% of electricity demand with renewable energy by 2020. With the vast majority of this being met by wind energy, an intermittent and non-dispatchable energy source, it is inevitable that frequent substantial curtailment will occur during times of excessive generation. This paper investigates the potential for demand side management to limit the requirement for curtailment and further facilitate the integration of renewable energy by shifting the timing of electrical demand in response to various signals including pricing and wind availability. Using a domestic dishwasher as an example, significant increases in the amount of renewable electricity consumed are demonstrated with simultaneous financial savings for the consumer. Furthermore, secondary benefits such as peak-time demand reductions in excess of 60% are observed. The impact of employing demand side management based on imperfect day-ahead market predictions is also analysed and the resulting deficiencies are quantified.

P. Finn; M. OConnell; C. Fitzpatrick

2013-01-01T23:59:59.000Z

294

Definition: Demand | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Definition Edit with form History Facebook icon Twitter icon » Definition: Demand Jump to: navigation, search Dictionary.png Demand The rate at which electric energy is delivered to or by a system or part of a system, generally expressed in kilowatts or megawatts, at a given instant or averaged over any designated interval of time., The rate at which energy is being used by the customer.[1] Related Terms energy, electricity generation References ↑ Glossary of Terms Used in Reliability Standards An i Like Like You like this.Sign Up to see what your friends like. nline Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Demand&oldid=480555"

295

National Action Plan on Demand Response, June 2010 | Department of Energy  

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

Action Plan on Demand Response, June 2010 Action Plan on Demand Response, June 2010 National Action Plan on Demand Response, June 2010 The Federal Energy Regulatory Commission (FERC) is required to develop the National Action Plan on Demand Response (National Action Plan) as outlined in section 529 of the Energy Independence and Security Act of 2007 (EISA), entitled "Electricity Sector Demand Response." This National Action Plan is designed to meet three objectives: Identify "requirements for technical assistance to States to allow them to maximize the amount of demand response resources that can be developed and deployed." Design and identify "requirements for implementation of a national communications program that includes broad-based customer education and support."

296

Graphical language for identification of control strategies allowing Demand Response  

E-Print Network [OSTI]

Graphical language for identification of control strategies allowing Demand Response David DA SILVA. This will allow the identification of the electric appliance availability for demand response control strategies to be implemented in terms of demand response for electrical appliances. Introduction An important part

Paris-Sud XI, Université de

297

Electric Power Industry Needs for Grid-Scale Storage Applications |  

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

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

298

D:\assumptions_2001\assumptions2002\currentassump\demand.vp  

Gasoline and Diesel Fuel Update (EIA)

2 2 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Natural Gas Transmission and Distribution Module . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 Petroleum Market Module. . . . . . . . . . . . .

299

Electric utility system master plan  

SciTech Connect (OSTI)

This publication contains the electric utility system plan and guidelines for providing adequate electric power to the various facilities of Lawrence Livermore National Laboratory in support of the mission of the Laboratory. The topics of the publication include general information on the current systems and their operation, a planning analysis for current and future growth in energy demand, proposed improvements and expansions required to meet long range site development and the site`s five-year plan.

Erickson, O.M.

1992-10-01T23:59:59.000Z

300

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 51 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and nonenergy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Module calculates

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


301

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

302

The Role of Demand Resources In Regional Transmission Expansion Planning and Reliable Operations  

SciTech Connect (OSTI)

Investigating the role of demand resources in regional transmission planning has provided mixed results. On one hand there are only a few projects where demand response has been used as an explicit alternative to transmission enhancement. On the other hand there is a fair amount of demand response in the form of energy efficiency, peak reduction, emergency load shedding, and (recently) demand providing ancillary services. All of this demand response reduces the need for transmission enhancements. Demand response capability is typically (but not always) factored into transmission planning as a reduction in the load which must be served. In that sense demand response is utilized as an alternative to transmission expansion. Much more demand response is used (involuntarily) as load shedding under extreme conditions to prevent cascading blackouts. The amount of additional transmission and generation that would be required to provide the current level of reliability if load shedding were not available is difficult to imagine and would be impractical to build. In a very real sense demand response solutions are equitably treated in every region - when proposed, demand response projects are evaluated against existing reliability and economic criteria. The regional councils, RTOs, and ISOs identify needs. Others propose transmission, generation, or responsive load based solutions. Few demand response projects get included in transmission enhancement plans because few are proposed. But this is only part of the story. Several factors are responsible for the current very low use of demand response as a transmission enhancement alternative. First, while the generation, transmission, and load business sectors each deal with essentially the same amount of electric power, generation and transmission companies are explicitly in the electric power business but electricity is not the primary business focus of most loads. This changes the institutional focus of each sector. Second, market and reliability rules have, understandably, been written around the capabilities and limitations of generators, the historic reliability resources. Responsive load limitations and capabilities are often not accommodated in markets or reliability criteria. Third, because of the institutional structure, demand response alternatives are treated as temporary solutions that can delay but not replace transmission enhancement. Financing has to be based on a three to five year project life as opposed to the twenty to fifty year life of transmission facilities. More can be done to integrate demand response options into transmission expansion planning. Given the societal benefits it may be appropriate for independent transmission planning organizations to take a more proactive role in drawing demand response alternatives into the resource mix. Existing demand response programs provide a technical basis to build from. Regulatory and market obstacles will have to be overcome if demand response alternatives are to be routinely considered in transmission expansion planning.

Kirby, Brendan J [ORNL

2006-07-01T23:59:59.000Z

303

Electric Capacity | OpenEI  

Open Energy Info (EERE)

Capacity Capacity Dataset Summary Description The New Zealand Ministry of Economic Development publishes an annual Energy Outlook, which presents projections of New Zealand's future energy supply, demand, prices and greenhouse gas emissions. The principle aim of these projections is to inform the national energy debate. Included here are the model results for electricity and generation capacity. The spreadsheet provides an interactive tool for selecting which model results to view, and which scenarios to evaluate; full model results for each scenario are also included. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated December 15th, 2010 (3 years ago) Keywords Electric Capacity Electricity Generation New Zealand projections

304

Automated Demand Response Technologies and Demonstration in New York City  

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

Technologies and Demonstration in New York City Technologies and Demonstration in New York City using OpenADR Title Automated Demand Response Technologies and Demonstration in New York City using OpenADR Publication Type Report LBNL Report Number LBNL-6470E Year of Publication 2013 Authors Kim, Joyce Jihyun, Sila Kiliccote, and Rongxin Yin Date Published 09/2013 Publisher LBNL/NYSERDA Abstract Demand response (DR) - allowing customers to respond to reliability requests and market prices by changing electricity use from their normal consumption pattern - continues to be seen as an attractive means of demand-side management and a fundamental smart-grid improvement that links supply and demand. Since October 2011, the Demand Response Research Center at Lawrence Berkeley National Laboratory and New York State Energy Research and Development Authority have conducted a demonstration project enabling Automated Demand Response (Auto-DR) in large commercial buildings located in New York City using Open Automated Demand Response (OpenADR) communication protocols. In particular, this project focuses on demonstrating how OpenADR can automate and simplify interactions between buildings and various stakeholders in New York State including the independent system operator, utilities, retail energy providers, and curtailment service providers. In this paper, we present methods to automate control strategies via building management systems to provide event-driven demand response, price response and demand management based on OpenADR signals. We also present cost control opportunities under day-ahead hourly pricing for large customers and Auto-DR control strategies developed for demonstration buildings. Lastly, we discuss the communication architecture and Auto-DR system designed for the demonstration project to automate price response and DR participation.

305

Demand response in future power systems management a conceptual framework and simulation tool.  

E-Print Network [OSTI]

??Mestrado em Engenharia Electrotcnica Sistemas Elctricos de Energia In competitive electricity markets with deep efficiency concerns, demand response gains significant importance. Moreover, demand response (more)

Faria, Pedro

2011-01-01T23:59:59.000Z

306

THE FUTURE DEMAND FOR ALTERNATIVE FUEL PASSENGER VEHICLES: A DIFFUSION OF INNOVATION APPROACH  

E-Print Network [OSTI]

.......................................................................................................... 5 2.1 AUTOMOBILE DEMAND MODELS.....................................................................................................................20 2.2.4 The Application of Diffusion Models to Automobile Demand.......................................................................................................................................36 3.1.5 Electric Vehicles

Levinson, David M.

307

Quantifying the Variable Effects of Systems with Demand Response Resources  

E-Print Network [OSTI]

Quantifying the Variable Effects of Systems with Demand Response Resources Anupama Kowli and George in the electricity industry. In particular, there is a new class of consumers, called demand response resources (DRRs

Gross, George

308

Research on the Demand Side Management Under Smart Grid  

Science Journals Connector (OSTI)

From the 1970 of the twentieth century demand side management has gradually become standardized management mode in electric power industry in developed ... coverage, full collection, full prepayment to demand-side

Litong Dong; Jun Xu; Haibo Liu; Ying Guo

2014-01-01T23:59:59.000Z

309

A Vision of Demand Response - 2016  

SciTech Connect (OSTI)

Envision a journey about 10 years into a future where demand response is actually integrated into the policies, standards, and operating practices of electric utilities. Here's a bottom-up view of how demand response actually works, as seen through the eyes of typical customers, system operators, utilities, and regulators. (author)

Levy, Roger

2006-10-15T23:59:59.000Z

310

Coordinating Interstate ElectricTransmission Siting: An Introduction to the  

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

Coordinating Interstate ElectricTransmission Siting: An Coordinating Interstate ElectricTransmission Siting: An Introduction to the Debate Coordinating Interstate ElectricTransmission Siting: An Introduction to the Debate In recent years, experts have started drawing att ention to the need to improve the system that transmits electricity from power plants to demand centers. Congestion on existing lines, increased energy demand that suggests a need for new electric transmission and the challenge of connecting renewable energy sources to load centers highlight some needs that could be underserved by the existing system in the near future. While improved demand-side management (including energy effi ciency and demand response), bett er utilization of the existing transmission grid, and other strategies (such as distributed

311

Opportunities for Energy Efficiency and Demand Response in the California  

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

Opportunities for Energy Efficiency and Demand Response in the California Opportunities for Energy Efficiency and Demand Response in the California Cement Industry Title Opportunities for Energy Efficiency and Demand Response in the California Cement Industry Publication Type Report LBNL Report Number LBNL-4849E Year of Publication 2010 Authors Olsen, Daniel, Sasank Goli, David Faulkner, and Aimee T. McKane Date Published 12/2010 Publisher CEC/LBNL Keywords cement industry, cement sector, demand response, electricity use, energy efficiency, market sectors, mineral manufacturing, technologies Abstract This study examines the characteristics of cement plants and their ability to shed or shift load to participate in demand response (DR). Relevant factors investigated include the various equipment and processes used to make cement, the operational limitations cement plants are subject to, and the quantities and sources of energy used in the cement-making process. Opportunities for energy efficiency improvements are also reviewed. The results suggest that cement plants are good candidates for DR participation. The cement industry consumes over 400 trillion Btu of energy annually in the United States, and consumes over 150 MW of electricity in California alone. The chemical reactions required to make cement occur only in the cement kiln, and intermediate products are routinely stored between processing stages without negative effects. Cement plants also operate continuously for months at a time between shutdowns, allowing flexibility in operational scheduling. In addition, several examples of cement plants altering their electricity consumption based on utility incentives are discussed. Further study is needed to determine the practical potential for automated demand response (Auto-DR) and to investigate the magnitude and shape of achievable sheds and shifts.

312

Methodology for Analyzing Energy and Demand Savings From Energy Services Performance Contract Using Short-Term Data  

E-Print Network [OSTI]

METHODOLOGY FOR ANALYZING ENERGY AND DEMAND SAVINGS FROM ENERGY SERVICES PERFORMANCE CONTRACT USING SHORT-TERM DATA Zi Liu, Jeff Haberl, Soolyeon Cho Energy Systems Laboratory Texas A&M University System College Station, TX 77843 Bobby... Contract, and includes the methodology developed to calculate the electricity and demand use savings based on different data sources including hourly data from permanently installed logger, hourly data from portable loggers, and weekly manual readings...

Liu, Z.; Haberl, J. S.; Cho, S.; Lynn, B.; Cook, M.

2006-01-01T23:59:59.000Z

313

Advanced Demand Responsive Lighting  

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

Demand Demand Responsive Lighting Host: Francis Rubinstein Demand Response Research Center Technical Advisory Group Meeting August 31, 2007 10:30 AM - Noon Meeting Agenda * Introductions (10 minutes) * Main Presentation (~ 1 hour) * Questions, comments from panel (15 minutes) Project History * Lighting Scoping Study (completed January 2007) - Identified potential for energy and demand savings using demand responsive lighting systems - Importance of dimming - New wireless controls technologies * Advanced Demand Responsive Lighting (commenced March 2007) Objectives * Provide up-to-date information on the reliability, predictability of dimmable lighting as a demand resource under realistic operating load conditions * Identify potential negative impacts of DR lighting on lighting quality Potential of Demand Responsive Lighting Control

314

Grid Integration of Aggregated Demand Response, Part 1: Load Availability  

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

Grid Integration of Aggregated Demand Response, Part 1: Load Availability Grid Integration of Aggregated Demand Response, Part 1: Load Availability Profiles and Constraints for the Western Interconnection Title Grid Integration of Aggregated Demand Response, Part 1: Load Availability Profiles and Constraints for the Western Interconnection Publication Type Report LBNL Report Number LBNL-6417E Year of Publication 2013 Authors Olsen, Daniel, Nance Matson, Michael D. Sohn, Cody Rose, Junqiao Han Dudley, Sasank Goli, Sila Kiliccote, Marissa Hummon, David Palchak, Paul Denholm, Jennie Jorgenson, and Ookie Ma Date Published 09/2013 Abstract Demand response (DR) has the potential to improve electric grid reliability and reduce system operation costs. However, including DR in grid modeling can be difficult due to its variable and non-traditional response characteristics, compared to traditional generation. Therefore, efforts to value the participation of DR in procurement of grid services have been limited. In this report, we present methods and tools for predicting demand response availability profiles, representing their capability to participate in capacity, energy, and ancillary services. With the addition of response characteristics mimicking those of generation, the resulting profiles will help in the valuation of the participation of demand response through production cost modeling, which informs infrastructure and investment planning.

315

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

316

Evolution of the Demand Side Management in the Smart Grid  

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

Evolution of the Demand Side Management in the Smart Grid Evolution of the Demand Side Management in the Smart Grid Speaker(s): Nathan Ota Date: October 20, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Janie Page Smart grid technology has rapidly evolved over the course of the last five years. From a demand side management perspective this includes consumer-owned Home Area Networks (HAN), network-centric HAN gateways, and a leveraging of a multitier smart grid for a variety of DSM applications. In particular, smart meters enable the consumer with electricity price information and near-real time energy usage data, but they also are the devices that consumers will most often interact. The success or failure of the in-home device is therefore critical to the larger Smart Grid success. Today, distinct DSM product categories are leading to a variety of new

317

Hydrogen Energy Stations: Poly-Production of Electricity, Hydrogen, and Thermal Energy  

E-Print Network [OSTI]

Hydrogen and Electricity: Public-Private Partnershipand electricity demands. Foster Public-Private Partnershipand electricity demands. Foster Public-Private Partnership

Lipman, Timothy; Brooks, Cameron

2006-01-01T23:59:59.000Z

318

Industrial demand side management status report: Synopsis  

SciTech Connect (OSTI)

Industrial demand side management (DSM) programs, though not as developed or widely implemented as residential and commercial programs, hold the promise of significant energy savings-savings that will benefit industrial firms, utilities and the environment. This paper is a synopsis of a larger research report, Industrial Demand Side Management. A Status Report, prepared for the US Department of Energy. The report provides an overview of and rationale for DSM programs. Benefits and barriers are described, and data from the Manufacturing Energy Consumption Survey are used to estimate potential electricity savings from industrial energy efficiency measures. Overcoming difficulties to effective program implementation is worthwhile, since rough estimates indicate a substantial potential for electricity savings. The report categorizes types of DSM programs, presents several examples of each type, and explores elements of successful programs. Two in-depth case studies (of Boise Cascade and of Eli Lilly and Company) illustrate two types of effective DSM programs. Interviews with staff from state public utility commissions indicate the current thinking about the status and future of industrial DSM programs. Finally, the research report also includes a comprehensive bibliography, a description of technical assistance programs, and an example of a methodology for evaluating potential or actual savings from projects.

Hopkins, M.E.F.; Conger, R.L.; Foley, T.J.; Parker, J.W.; Placet, M.; Sandahl, L.J.; Spanner, G.E.; Woodruff, M.G.; Norland, D.

1995-08-01T23:59:59.000Z

319

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network [OSTI]

Addressing Energy Demand through Demand Response:both the avoided energy costs (and demand charges) as wellCoordination of Energy Efficiency and Demand Response,

Shen, Bo

2013-01-01T23:59:59.000Z

320

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

Gasoline and Diesel Fuel Update (EIA)

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

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


321

Network-Driven Demand Side Management Website | Open Energy Informatio...  

Open Energy Info (EERE)

UtilityElectricity Service Costs) for this property. This task of the International Energy Agency is a broad, systematic examination of the potential for demand-side...

322

Reducing Peak Demand to Defer Power Plant Construction in Oklahoma  

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

costs and manage electric reliability under these conditions, OG&E is pursuing demand response strategies made possible by implementation of smart grid technologies, tools, and...

323

Automated demand response applied to a set of commercial facilities.  

E-Print Network [OSTI]

?? Commercial facility demand response refers to voluntary actions by customers that change their consumption of electric power in response to price signals, incentives, or (more)

Lincoln, Donald F.

2010-01-01T23:59:59.000Z

324

Demand Response National Trends: Implications for the West? ...  

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

National Trends: Implications for the West? Demand Response National Trends: Implications for the West? Committee on Regional Electric Power Cooperation. San Francisco, CA. March...

325

Automated demand response applied to a set of commercial buildings.  

E-Print Network [OSTI]

??Commercial facility demand response refers to voluntary actions by customers that change their consumption of electric power in response to price signals, incentives, or directions (more)

Lincoln, Donald

2010-01-01T23:59:59.000Z

326

A study of industrial equipment energy use and demand control.  

E-Print Network [OSTI]

??Demand and duty factors were measured for selected equipment [air compressors, electric furnaces, injection-molding machines, a welder, a granulator (plastics grinder), a sheet metal press (more)

Dooley, Edward Scott

2012-01-01T23:59:59.000Z

327

Demand Response Valuation Frameworks Paper  

E-Print Network [OSTI]

benefits of Demand Side Management (DSM) are insufficient toefficiency, demand side management (DSM) cost effectivenessResearch Center Demand Side Management Demand Side Resources

Heffner, Grayson

2010-01-01T23:59:59.000Z

328

Electric power annual 1992  

SciTech Connect (OSTI)

The Electric Power Annual presents a summary of electric utility statistics at national, regional and State levels. The objective of the publication is to provide industry decisionmakers, government policymakers, analysts and the general public with historical data that may be used in understanding US electricity markets. The Electric Power Annual is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. ``The US Electric Power Industry at a Glance`` section presents a profile of the electric power industry ownership and performance, and a review of key statistics for the year. Subsequent sections present data on generating capability, including proposed capability additions; net generation; fossil-fuel statistics; retail sales; revenue; financial statistics; environmental statistics; electric power transactions; demand-side management; and nonutility power producers. In addition, the appendices provide supplemental data on major disturbances and unusual occurrences in US electricity power systems. Each section contains related text and tables and refers the reader to the appropriate publication that contains more detailed data on the subject matter. Monetary values in this publication are expressed in nominal terms.

Not Available

1994-01-06T23:59:59.000Z

329

Strategies for Demand Response in Commercial Buildings  

SciTech Connect (OSTI)

This paper describes strategies that can be used in commercial buildings to temporarily reduce electric load in response to electric grid emergencies in which supplies are limited or in response to high prices that would be incurred if these strategies were not employed. The demand response strategies discussed herein are based on the results of three years of automated demand response field tests in which 28 commercial facilities with an occupied area totaling over 11 million ft{sup 2} were tested. Although the demand response events in the field tests were initiated remotely and performed automatically, the strategies used could also be initiated by on-site building operators and performed manually, if desired. While energy efficiency measures can be used during normal building operations, demand response measures are transient; they are employed to produce a temporary reduction in demand. Demand response strategies achieve reductions in electric demand by temporarily reducing the level of service in facilities. Heating ventilating and air conditioning (HVAC) and lighting are the systems most commonly adjusted for demand response in commercial buildings. The goal of demand response strategies is to meet the electric shed savings targets while minimizing any negative impacts on the occupants of the buildings or the processes that they perform. Occupant complaints were minimal in the field tests. In some cases, ''reductions'' in service level actually improved occupant comfort or productivity. In other cases, permanent improvements in efficiency were discovered through the planning and implementation of ''temporary'' demand response strategies. The DR strategies that are available to a given facility are based on factors such as the type of HVAC, lighting and energy management and control systems (EMCS) installed at the site.

Watson, David S.; Kiliccote, Sila; Motegi, Naoya; Piette, Mary Ann

2006-06-20T23:59:59.000Z

330

Smart (In-home) Power Scheduling for Demand Response on the Smart Grid  

E-Print Network [OSTI]

1 Smart (In-home) Power Scheduling for Demand Response on the Smart Grid Gang Xiong, Chen Chen consumption are part of demand response, which relies on varying price of electricity to reduce peak demand

Yener, Aylin

331

Japan's Residential Energy Demand Outlook to 2030 Considering Energy Efficiency Standards "Top-Runner Approach"  

E-Print Network [OSTI]

Total Energy Source Demand Coal, Oil, Gas, Heat, ElectricityEnergy Source Demand per Household Coal, Oil, Gas, Heat,ton of oil equivalent Considerable increases in demand for

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

332

building demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

333

The Long View of Demand-Side Management Programs  

Science Journals Connector (OSTI)

One of the primary reasons that the electricity market failed in California during the 20002001 period was the lack of dynamic demand response to rising wholesale electricity prices. Had retail customers seen...

Ahmad Faruqui; Greg Wikler; Ingrid Bran

2003-01-01T23:59:59.000Z

334

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

E-Print Network [OSTI]

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

Greenwood, R. W.

1981-01-01T23:59:59.000Z

335

Definition: Demand Side Management | Open Energy Information  

Open Energy Info (EERE)

Side Management Side Management Jump to: navigation, search Dictionary.png Demand Side Management The term for all activities or programs undertaken by Load-Serving Entity or its customers to influence the amount or timing of electricity they use.[1] View on Wikipedia Wikipedia Definition Energy demand management, also known as demand side management (DSM), is the modification of consumer demand for energy through various methods such as financial incentives and education. Usually, the goal of demand side management is to encourage the consumer to use less energy during peak hours, or to move the time of energy use to off-peak times such as nighttime and weekends. Peak demand management does not necessarily decrease total energy consumption, but could be expected to reduce the need

336

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

the country last July, while temperatures in July 2014 were closer to average. This led to a decrease in demand for electricity generation in July 2014, with total...

337

Electric Power Annual 2011  

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

net internal demand, capacity resources, and capacity margins by North American Electric Reliability Corporation Region" "1999 through 2011 actual, 2012-2016 projected"...

338

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.

339

Automated Demand Response Opportunities in Wastewater Treatment Facilities  

SciTech Connect (OSTI)

Wastewater treatment is an energy intensive process which, together with water treatment, comprises about three percent of U.S. annual energy use. Yet, since wastewater treatment facilities are often peripheral to major electricity-using industries, they are frequently an overlooked area for automated demand response opportunities. Demand response is a set of actions taken to reduce electric loads when contingencies, such as emergencies or congestion, occur that threaten supply-demand balance, and/or market conditions occur that raise electric supply costs. Demand response programs are designed to improve the reliability of the electric grid and to lower the use of electricity during peak times to reduce the total system costs. Open automated demand response is a set of continuous, open communication signals and systems provided over the Internet to allow facilities to automate their demand response activities without the need for manual actions. Automated demand response strategies can be implemented as an enhanced use of upgraded equipment and facility control strategies installed as energy efficiency measures. Conversely, installation of controls to support automated demand response may result in improved energy efficiency through real-time access to operational data. This paper argues that the implementation of energy efficiency opportunities in wastewater treatment facilities creates a base for achieving successful demand reductions. This paper characterizes energy use and the state of demand response readiness in wastewater treatment facilities and outlines automated demand response opportunities.

Thompson, Lisa; Song, Katherine; Lekov, Alex; McKane, Aimee

2008-11-19T23:59:59.000Z

340

Option Value of Electricity Demand Response  

E-Print Network [OSTI]

Operator (NYISO) and New York State Energy Research andhour National Energy Modeling System New York IndependentNYSERDA), January. New York State Energy Research and

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

2005-01-01T23:59:59.000Z

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


341

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

implementation of advanced metering and rapidly expanding development of wind, solar, and clean energy

Levy, Roger

2014-01-01T23:59:59.000Z

342

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

Smart Grid implementations may provide current, relevant information for calibrating potential renewable, outage management, and system operational benefits.

Levy, Roger

2014-01-01T23:59:59.000Z

343

Coordination of Energy Efficiency and Demand Response  

SciTech Connect (OSTI)

This paper reviews the relationship between energy efficiency and demand response and discusses approaches and barriers to coordinating energy efficiency and demand response. The paper is intended to support the 10 implementation goals of the National Action Plan for Energy Efficiency's Vision to achieve all cost-effective energy efficiency by 2025. Improving energy efficiency in our homes, businesses, schools, governments, and industries - which consume more than 70 percent of the nation's natural gas and electricity - is one of the most constructive, cost-effective ways to address the challenges of high energy prices, energy security and independence, air pollution, and global climate change. While energy efficiency is an increasingly prominent component of efforts to supply affordable, reliable, secure, and clean electric power, demand response is becoming a valuable tool in utility and regional resource plans. The Federal Energy Regulatory Commission (FERC) estimated the contribution from existing U.S. demand response resources at about 41,000 megawatts (MW), about 5.8 percent of 2008 summer peak demand (FERC, 2008). Moreover, FERC recently estimated nationwide achievable demand response potential at 138,000 MW (14 percent of peak demand) by 2019 (FERC, 2009).2 A recent Electric Power Research Institute study estimates that 'the combination of demand response and energy efficiency programs has the potential to reduce non-coincident summer peak demand by 157 GW' by 2030, or 14-20 percent below projected levels (EPRI, 2009a). This paper supports the Action Plan's effort to coordinate energy efficiency and demand response programs to maximize value to customers. For information on the full suite of policy and programmatic options for removing barriers to energy efficiency, see the Vision for 2025 and the various other Action Plan papers and guides available at www.epa.gov/eeactionplan.

Goldman, Charles; Reid, Michael; Levy, Roger; Silverstein, Alison

2010-01-29T23:59:59.000Z

344

An Integrated Architecture for Demand Response Communications and Control  

E-Print Network [OSTI]

An Integrated Architecture for Demand Response Communications and Control Michael LeMay, Rajesh for the MGA and ZigBee wireless communications. Index Terms Demand Response, Advanced Meter Infrastructure. In principle this can be done with demand response techniques in which electricity users take measures

Gross, George

345

A Successful Implementation with the Smart Grid: Demand Response Resources  

E-Print Network [OSTI]

1 A Successful Implementation with the Smart Grid: Demand Response Resources Contribution of intelligent line switching, demand response resources (DRRs), FACTS devices and PMUs is key in the smart grid events as a result of voluntary load curtailments. Index Terms--Electricity Markets, Demand Response re

Gross, George

346

Demand Response Providing Ancillary A Comparison of Opportunities and  

E-Print Network [OSTI]

LBNL-5958E Demand Response Providing Ancillary Services A Comparison of Opportunities Government or any agency thereof or The Regents of the University of California. #12;Demand Response System Reliability, Demand Response (DR), Electricity Markets, Smart Grid Abstract Interest in using

347

Opportunities and Challenges for Data Center Demand Response  

E-Print Network [OSTI]

Opportunities and Challenges for Data Center Demand Response Adam Wierman Zhenhua Liu Iris Liu of renewable energy into the grid as well as electric power peak-load shaving: data center demand response. Data center demand response sits at the intersection of two growing fields: energy efficient data

Wierman, Adam

348

Towards Continuous Policy-driven Demand Response in Data Centers  

E-Print Network [OSTI]

Towards Continuous Policy-driven Demand Response in Data Centers David Irwin, Navin Sharma, and Prashant Shenoy University of Massachusetts, Amherst {irwin,nksharma,shenoy}@cs.umass.edu ABSTRACT Demand response (DR) is a technique for balancing electricity sup- ply and demand by regulating power consumption

Shenoy, Prashant

349

Towards continuous policy-driven demand response in data centers  

Science Journals Connector (OSTI)

Demand response (DR) is a technique for balancing electricity supply and demand by regulating power consumption instead of generation. DR is a key technology for emerging smart electric grids that aim to increase grid efficiency, while incorporating ... Keywords: blink, power, renewable energy, storage

David Irwin; Navin Sharma; Prashant Shenoy

2011-08-01T23:59:59.000Z

350

Coordination of Energy Efficiency and Demand Response  

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

Coordination of Energy Efficiency and Demand Response Coordination of Energy Efficiency and Demand Response Title Coordination of Energy Efficiency and Demand Response Publication Type Report Refereed Designation Unknown Year of Publication 2010 Authors Goldman, Charles A., Michael Reid, Roger Levy, and Alison Silverstein Pagination 74 Date Published 01/2010 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract This paper reviews the relationship between energy efficiency and demand response and discusses approaches and barriers to coordinating energy efficiency and demand response. The paper is intended to support the 10 implementation goals of the National Action Plan for Energy Efficiency's Vision to achieve all cost-effective energy efficiency by 2025.1 Improving energy efficiency in our homes, businesses, schools, governments, and industries-which consume more than 70 percent of the nation's natural gas and electricity-is one of the most constructive, cost-effective ways to address the challenges of high energy prices, energy security and independence, air pollution, and global climate change. While energy efficiency is an increasingly prominent component of efforts to supply affordable, reliable, secure, and clean electric power, demand response is becoming a valuable tool in utility and regional resource plans. The Federal Energy Regulatory Commission (FERC) estimated the contribution from existing U.S. demand response resources at about 41,000 megawatts (MW), about 5.8 percent of 2008 summer peak demand (FERC, 2008). Moreover, FERC recently estimated nationwide achievable demand response potential at 138,000 MW (14 percent of peak demand) by 2019 (FERC, 2009).2 A recent Electric Power Research Institute study estimates that "the combination of demand response and energy efficiency programs has the potential to reduce non-coincident summer peak demand by 157 GW" by 2030, or 14-20 percent below projected levels (EPRI, 2009a). This paper supports the Action Plan's effort to coordinate energy efficiency and demand response programs to maximize value to customers. For information on the full suite of policy and programmatic options for removing barriers to energy efficiency, see the Vision for 2025 and the various other Action Plan papers and guides available at www.epa.gov/eeactionplan.

351

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.

352

Measuring the capacity impacts of demand response  

SciTech Connect (OSTI)

Critical peak pricing and peak time rebate programs offer benefits by increasing system reliability, and therefore, reducing capacity needs of the electric power system. These benefits, however, decrease substantially as the size of the programs grows relative to the system size. More flexible schemes for deployment of demand response can help address the decreasing returns to scale in capacity value, but more flexible demand response has decreasing returns to scale as well. (author)

Earle, Robert; Kahn, Edward P.; Macan, Edo

2009-07-15T23:59:59.000Z

353

Distributed Intelligent Automated Demand Response (DIADR) Building  

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

Distributed Intelligent Automated Demand Distributed Intelligent Automated Demand Response (DIADR) Building Management System Distributed Intelligent Automated Demand Response (DIADR) Building Management System The U.S. Department of Energy (DOE) is currently conducting research into distributed intelligent-automated demand response (DIADR) building management systems. Project Description This project aims to develop a DIADR building management system with intelligent optimization and control algorithms for demand management, taking into account a multitude of factors affecting cost including: Comfort Heating, ventilating, and air conditioning (HVAC) Lighting Other building systems Climate Usage and occupancy patterns. The key challenge is to provide the demand response the ability to address more and more complex building systems that include a variety of loads,

354

Demand Response- Policy  

Broader source: Energy.gov [DOE]

Since its inception, the Office of Electricity Delivery and Energy Reliability (OE) has been committed to modernizing the nation's electricity delivery infrastructure to assure consumers a robust,...

355

Demand response enabling technology development  

E-Print Network [OSTI]

Demand Response Enabling Technology Development Phase IEfficiency and Demand Response Programs for 2005/2006,Application to Demand Response Energy Pricing SenSys 2003,

2006-01-01T23:59:59.000Z

356

Demand Response Spinning Reserve Demonstration  

E-Print Network [OSTI]

F) Enhanced ACP Date RAA ACP Demand Response SpinningReserve Demonstration Demand Response Spinning Reservesupply spinning reserve. Demand Response Spinning Reserve

2007-01-01T23:59:59.000Z

357

Cross-sector Demand Response  

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

Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response...

358

Demand Response Programs for Oregon  

E-Print Network [OSTI]

Demand Response Programs for Oregon Utilities Public Utility Commission May 2003 Public Utility ....................................................................................................................... 1 Types of Demand Response Programs............................................................................ 3 Demand Response Programs in Oregon

359

Demand response enabling technology development  

E-Print Network [OSTI]

behavior in developing a demand response future. Phase_II_Demand Response Enabling Technology Development Phase IIYi Yuan The goal of the Demand Response Enabling Technology

Arens, Edward; Auslander, David; Huizenga, Charlie

2008-01-01T23:59:59.000Z

360

Automated Demand Response and Commissioning  

E-Print Network [OSTI]

Fully-Automated Demand Response Test in Large Facilities14in DR systems. Demand Response using HVAC in Commercialof Fully Automated Demand Response in Large Facilities

Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

2005-01-01T23:59:59.000Z

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


361

Energy Conversion to Electricity  

Science Journals Connector (OSTI)

30 May 1974 research-article Energy Conversion to Electricity D. Clark...continuing growth in the demand for energy, and of electricity as the route...the electricity share of the total energy market and of the substitution of electricity...

1974-01-01T23:59:59.000Z

362

Renewable Electricity Futures Study  

E-Print Network [OSTI]

Renewable Electricity Futures Study End-use Electricity Demand Volume 3 of 4 Volume 2 PDF Volume 3;Renewable Electricity Futures Study Edited By Hand, M.M. National Renewable Energy Laboratory Baldwin, S. U Sandor, D. National Renewable Energy Laboratory Suggested Citations Renewable Electricity Futures Study

363

Demand Response In California  

Broader source: Energy.gov [DOE]

Presentation covers the demand response in California and is given at the FUPWG 2006 Fall meeting, held on November 1-2, 2006 in San Francisco, California.

364

Energy Demand Forecasting  

Science Journals Connector (OSTI)

This chapter presents alternative approaches used in forecasting energy demand and discusses their pros and cons. It... Chaps. 3 and 4 ...

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

365

The impact of demand-controlled ventilation on energy use in buildings  

SciTech Connect (OSTI)

The overall objective of this work was to evaluate typical energy requirements associated with alternative ventilation control strategies. The strategies included different combinations of economizer and demand-controlled ventilation controls and energy analyses were performed for a range of typical buildings, systems, and climates. Only single zone buildings were considered, so that simultaneous heating and cooling did not exist. The energy savings associated with economizer and demand-controlled ventilation strategies were found to be very significant for both heating and cooling. In general, the greatest savings in electrical usage for cooling with the addition of demand-controlled ventilation occur in situations where the opportunities for economizer cooling are less. This is true for warm and humid climates, and for buildings that have low relative internal gains (i.e., low occupant densities). As much as 10% savings in electrical energy for cooling were possible with demand-controlled ventilation. The savings in heating energy associated with demand-controlled ventilation were generally much larger, but were strongly dependent upon the occupancy schedule. Significantly greater savings were found for buildings with highly variable occupancy schedules (e.g., stores and restaurants) as compared with office buildings. In some cases, the primary heating energy was reduced by a factor of 10 with demand-controlled ventilation as compared with fixed ventilation rates.

Braun, J.E.; Brandemuehl, M.J.

1999-07-01T23:59:59.000Z

366

Hydrogen and electricity: Parallels, interactions,and convergence  

E-Print Network [OSTI]

impacts of marginal electricity demand for CA hydrogenUS DOE, 2007. EIA. Electricity data. [cited 2007 March 2,F. Decarbonized hydrogen and electricity from natural gas.

Yang, Christopher

2008-01-01T23:59:59.000Z

367

Distributed Solar Photovoltaics for Electric Vehicle Charging...  

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

DISTRIBUTED SOLAR PHOTOVOLTAICS FOR ELECTRIC VEHICLE CHARGING REGULATORY AND POLICY CONSIDERATIONS ABSTRACT Increasing demand for electric vehicle (EV) charging provides an...

368

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

turbine NGST Natural gas steam turbine NWPP Northwest Powerfrom natural gas steam turbine (NGST) and natural gasNGST = Natural gas steam turbine; NWPP = Northwest Power

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

369

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

121]. Like other renewable resources and nuclear power, inhydro, nuclear, or renewable resources, and average GHGsupplied by each renewable resource and the capacity of

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

370

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

wind turbines, biomass, or geothermal power. By 2050, thebiomass, geothermal, and nuclear power plants arebiomass Nuclear, geothermal, and biomass power plants are

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

371

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

10 regions Illinois Colorado, Xcel Energy service area LADWPVehicle Charging in the Xcel Energy Colorado Servicecomprised 30% of LDVs in Xcel Energys Colorado service

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

372

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

2. Well-to-wheel vehicle GHG emissions rates as a functionplant type and average GHG emissions rates by scenario (Generation and average GHG emissions in 2050 for scenarios

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

373

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

Generation from wind and solar power plants can be highlygrid. When wind stops blowing, another power plant must bethan intermittent wind availability or uncertain power plant

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

374

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

Implementation Analysis (Preliminary Results), California Public Utilities Commission. NREL (2008) 20% Wind Energy

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

375

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

natural gas-fired power plant heat rates and generation,natural gas-fired power plant heat rates and generation,natural gas-fired power plants Total incremental generation

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

376

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

109 Figure 57. Assumed natural gas and coal prices in LEDGE-in Figure 57. The coal price stays relatively constantAssumed natural gas and coal prices in LEDGE-CA [152]. It

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

377

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

Biomass Geothermal Small Hydro Solar Wind Statewide CA-N CA-with a relatively small hydro resource require additionaldairy Photovoltaic Parabolic Small hydro Wind Hydro 1 Steam

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

378

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

IGCC Integrated gasification combined cycle IID ImperialCorporation NGCC Natural gas combined-cycle NGCT Natural gas79% from natural gas combined cycle (NGCC) power plants, and

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

379

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network [OSTI]

near term. Local distribution infrastructure and reliabilityand distribution constraints, Reliability constraints,It does not depict reliability and distribution constraints,

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

380

Market and Policy Barriers for Demand Response Providing Ancillary Services  

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

Market and Policy Barriers for Demand Response Providing Ancillary Services Market and Policy Barriers for Demand Response Providing Ancillary Services in U.S. Markets Title Market and Policy Barriers for Demand Response Providing Ancillary Services in U.S. Markets Publication Type Report LBNL Report Number LBNL-6155E Year of Publication 2013 Authors Cappers, Peter, Jason MacDonald, and Charles A. Goldman Date Published 03/2013 Keywords advanced metering infrastructure, aggregators of retail customers, ancillary services, demand response, electric utility regulation, electricity market rules, electricity markets and policy group, energy analysis and environmental impacts department, institutional barriers, market and value, operating reserves, retail electricity providers, retail electricity tariffs, smart grid Attachment Size

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


381

Measuring Short-term Air Conditioner Demand Reductions for Operations and  

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

Measuring Short-term Air Conditioner Demand Reductions for Operations and Measuring Short-term Air Conditioner Demand Reductions for Operations and Settlement Title Measuring Short-term Air Conditioner Demand Reductions for Operations and Settlement Publication Type Report LBNL Report Number LBNL-5330E Year of Publication 2012 Authors Bode, Josh, Michael J. Sullivan, and Joseph H. Eto Pagination 120 Date Published 01/2012 Publisher LBNL City Berkeley Keywords consortium for electric reliability technology solutions (certs), electricity markets and policy group, energy analysis and environmental impacts department Abstract Several recent demonstrations and pilots have shown that air conditioner (AC) electric loads can be controlled during the summer cooling season to provide ancillary services and improve the stability and reliability of the electricity grid. A key issue for integration of air conditioner load control into grid operations is how to accurately measure shorter-term (e.g., ten's of minutes to a couple of hours) demand reductions from AC load curtailments for operations and settlement. This report presents a framework for assessing the accuracy of shorter-term AC load control demand reduction measurements. It also compares the accuracy of various alternatives for measuring AC reductions - including methods that rely on regression analysis, load matching and control groups - using feeder data, household data and AC end-use data. A practical approach is recommended for settlement that relies on set of tables, updated annually, with pre-calculated load reduction estimates. The tables allow users to look up the demand reduction per device based on the daily maximum temperature, geographic region and hour of day and simplify the settlement process.

382

Residential Demand Response  

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

that can store underutilized renewable or off peak electric energy for space and water heating. ETS systems store electric energy as heat in a well insulated brick core. Built-in...

383

RTP Customer Demand Response  

Science Journals Connector (OSTI)

This paper provides new evidence on customer demand response to hourly pricing from the largest and...real-time pricing...(RTP) program in the United States. RTP creates value by inducing load reductions at times...

Steven Braithwait; Michael OSheasy

2002-01-01T23:59:59.000Z

384

World Energy Demand  

Science Journals Connector (OSTI)

A reliable forecast of energy resources, energy consumption, and population in the future is a ... So, instead of absolute figures about future energy demand and sources worldwide, which would become...3.1 correl...

Giovanni Petrecca

2014-01-01T23:59:59.000Z

385

Transportation Demand This  

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

Transportation Demand Transportation Demand This page inTenTionally lefT blank 75 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific and associated technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), buses, freight and passenger aircraft, freight

386

Supplementary Information Potential for Electricity Generation from Renewable Resources and Levelized Cost of Electricity (LCOE)  

E-Print Network [OSTI]

Supplementary Information Potential for Electricity Generation from Renewable Resources and Levelized Cost of Electricity (LCOE) Electrical energy can be generated from renewable resources the potential to meet the worldwide demand of electricity and they contribute to the total generation

Suo, Zhigang

387

POWERTECH 2009, JUNE 28 -JULY 2, 2009, BUCHAREST, ROMANIA 1 Incorporation of Demand Response Resources in  

E-Print Network [OSTI]

POWERTECH 2009, JUNE 28 - JULY 2, 2009, BUCHAREST, ROMANIA 1 Incorporation of Demand Response, IEEE, Abstract--The use of demand-side resources, in general, and demand response resources (DRRs concerns. Integration of demand response resources in the competitive electricity markets impacts resource

Gross, George

388

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

shift in the short-run price elasticity of gasoline demand.A meta-analysis of the price elasticity of gasoline demand.2007. Consumer demand un- der price uncertainty: Empirical

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

389

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

analysis of the demand for oil in the Middle East. EnergyEstimates elasticity of demand for crude oil, not gasoline.World crude oil and natural gas: a demand and supply model.

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

390

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

analysis of the demand for oil in the Middle East. EnergyEstimates elasticity of demand for crude oil, not gasoline.World crude oil and natural gas: a demand and supply model.

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

391

Electric Drive Vehicle Infrastructure Deployment  

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

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

392

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

393

Changing Energy Demand Behavior: Potential of Demand-Side Management  

Science Journals Connector (OSTI)

There is a great theoretical potential to save resources by managing our demand for energy. However, demand-side management (DSM) programs targeting behavioral patterns of...

Dr. Sylvia Breukers; Dr. Ruth Mourik

2013-01-01T23:59:59.000Z

394

DemandDirect | Open Energy Information  

Open Energy Info (EERE)

DemandDirect DemandDirect Jump to: navigation, search Name DemandDirect Place Woodbury, Connecticut Zip 6798 Sector Efficiency, Renewable Energy, Services Product DemandDirect provides demand response, energy efficiency, load management, and distributed generation services to end-use electricity customers in order to reduce electricity consumption, improve grid reliability, and promote renewable energy. Coordinates 44.440496°, -72.414991° 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":44.440496,"lon":-72.414991,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

395

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.

396

Role of Context-Awareness for Demand Response Mechanisms  

Science Journals Connector (OSTI)

Recently due to major changes in the structure of electricity industry and the rising costs of power generation, many countries have realized the potential and benefits of smart metering systems and demand response

Pari Delir Haghighi; Shonali Krishnaswamy

2011-01-01T23:59:59.000Z

397

Demand Response Valuation Frameworks Paper  

E-Print Network [OSTI]

No. ER06-615-000 CAISO Demand Response Resource User Guide -8 2.1. Demand Response Provides a Range of Benefits to8 2.2. Demand Response Benefits can be Quantified in Several

Heffner, Grayson

2010-01-01T23:59:59.000Z

398

DOE Announces Publication of Three Reports by the DOE Electricity Advisory  

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

Publication of Three Reports by the DOE Electricity Publication of Three Reports by the DOE Electricity Advisory Committee - January 2009 DOE Announces Publication of Three Reports by the DOE Electricity Advisory Committee - January 2009 The Department of Energy's (DOE) Electricity Advisory Committee (EAC) released three reports prepared for the Secretary of Energy's consideration. These reports review challenges facing DOE and the Nation in many important electricity areas, and include recommendations for policy and program initiatives. They address issues surrounding generation and transmission adequacy, energy efficiency and demand response, deployment of energy storage technologies, and deployment of smart grid technologies. DOE Announces Publication of Three Reports by the DOE Electricity Advisory Committee

399

Utility rebates for efficient motors -- The outlook for demand-side management  

SciTech Connect (OSTI)

Since 1987, many electric utilities throughout North America have been actively promoting DSM--demand-side management, the attempt to conserve fuels and postpone costly generating capacity increases by encouraging customers to use more efficient electrical equipment, including motors. One popular DSM program has been utility payment of cash rebates to purchasers of more efficient motors. Today, such payments face extinction in a rapidly changing utility economic climate based on deregulation. How rebates originated, the basis for such payments, how successful rebate programs have been, and what the future holds for them--these are the subjects of this paper.

Nailen, R.L. [Wisconsin Electric Power Co., Milwaukee, WI (United States)

1995-12-31T23:59:59.000Z

400

Utility rebates for efficient motors -- The outlook for demand-side management  

SciTech Connect (OSTI)

Since 1987, many electric utilities throughout North America have been actively promoting demand-side management (DSM), the attempt to conserve fuels and postpone costly generating capacity increases by encouraging customers to use more efficient electrical equipment, including motors. One popular DSM program has been utility payment of cash rebates to purchasers of more efficient motors. Today, such payments face extinction in a rapidly changing utility economic climate based on deregulation. How rebates originated, the basis for such payments, how successful rebate programs have been, and what the future holds for them are the subjects of this paper.

Nailen, R.L. [Wisconsin Electric Power Co., Milwaukee, WI (United States)] [Wisconsin Electric Power Co., Milwaukee, WI (United States)

1997-01-01T23:59:59.000Z

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


401

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS 27 data.

402

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" (UEC) by appliance (in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type

403

Interoperability of Demand Response Resources Demonstration in NY  

SciTech Connect (OSTI)

The Interoperability of Demand Response Resources Demonstration in NY (Interoperability Project) was awarded to Con Edison in 2009. The objective of the project was to develop and demonstrate methodologies to enhance the ability of customer sited Demand Response resources to integrate more effectively with electric delivery companies and regional transmission organizations.

Wellington, Andre

2014-03-31T23:59:59.000Z

404

THE ROLE OFLOAD DEMAND ELASTICITY IN CONGESTION MANAGEMENTAND PRICING  

E-Print Network [OSTI]

THE ROLE OFLOAD DEMAND ELASTICITY IN CONGESTION MANAGEMENTAND PRICING EttoreBompard, Enrico that demand responsiveness can play in competitive electricity markets. Typically, the task of congestion and to determine transmission system usage charges. The actions of price responsive loads may be represented

Gross, George

405

Demand Response In California  

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

Energy Efficiency & Energy Efficiency & Demand Response Programs Dian M. Grueneich, Commissioner Dian M. Grueneich, Commissioner California Public Utilities Commission California Public Utilities Commission FUPWG 2006 Fall Meeting November 2, 2006 Commissioner Dian M. Grueneich November 2, 2006 1 Highest Priority Resource Energy Efficiency is California's highest priority resource to: Meet energy needs in a low cost manner Aggressively reduce GHG emissions November 2, 2006 2 Commissioner Dian M. Grueneich November 2, 2006 3 http://www.cpuc.ca.gov/PUBLISHED/REPORT/51604.htm Commissioner Dian M. Grueneich November 2, 2006 4 Energy Action Plan II Loading order continued "Pursue all cost-effective energy efficiency, first." Strong demand response and advanced metering

406

" Row: NAICS Codes; Column: Electricity Components;"  

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

1. Electricity: Components of Net Demand, 1998;" 1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,,"Sales and","Net Demand","RSE" "NAICS"," ",,,"Total Onsite","Transfers","for","Row" "Code(a)","Subsector and Industry","Purchases","Transfers In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,,"Total United States"

407

" Row: NAICS Codes; Column: Electricity Components;"  

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

1 Electricity: Components of Net Demand, 2002;" 1 Electricity: Components of Net Demand, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,"Total ","Sales and","Net Demand","RSE" "NAICS"," ",,"Transfers ","Onsite","Transfers","for","Row" "Code(a)","Subsector and Industry","Purchases"," In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,,"Total United States"

408

On Demand Guarantees in Iran.  

E-Print Network [OSTI]

??On Demand Guarantees in Iran This thesis examines on demand guarantees in Iran concentrating on bid bonds and performance guarantees. The main guarantee types and (more)

Ahvenainen, Laura

2009-01-01T23:59:59.000Z

409

The impact of demand-controlled and economizer ventilation strategies on energy use in buildings  

SciTech Connect (OSTI)

The overall objective of this work was to evaluate typical energy requirements associated with alternative ventilation control strategies for constant-air-volume (CAV) systems in commercial buildings. The strategies included different combinations of economizer and demand-controlled ventilation, and energy analyses were performed for four typical building types, eight alternative ventilation systems, and twenty US climates. Only single-zone buildings were considered so that simultaneous heating and cooling did not exist. The energy savings associated with economizer and demand-controlled ventilation strategies were found to be very significant for both heating and cooling. In general, the greatest savings in electrical usage for cooling with the addition of demand-controlled ventilation occur in situations where the opportunities for economizer cooling are less. This is true for warm and humid climates and for buildings that have relatively low internal gains (i.e., low occupant densities). As much as 20% savings in electrical energy for cooling were possible with demand-controlled ventilation. The savings in heating energy associated with demand-controlled ventilation were generally much larger but were strongly dependent upon the building type and occupancy schedule. Significantly greater savings were found for buildings with highly variable occupancy schedules and large internal gains (i.e., restaurants) as compared with office buildings. In some cases, the primary heating energy was virtually eliminated by demand-controlled ventilation as compared with fixed ventilation rates. For both heating and cooling, the savings associated with demand-controlled ventilation are dependent on the fixed minimum ventilation rate of the base case at design conditions.

Brandemuehl, M.J.; Braun, J.E.

1999-07-01T23:59:59.000Z

410

FERC Presendation: Demand Response as Power System Resources, October 29,  

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

FERC Presendation: Demand Response as Power System Resources, FERC Presendation: Demand Response as Power System Resources, October 29, 2010 FERC Presendation: Demand Response as Power System Resources, October 29, 2010 Federal Energy Regulatory Commission (FERC) presentation on demand response as power system resources before the Electicity Advisory Committee, October 29, 2010 Demand Response as Power System Resources More Documents & Publications A National Forum on Demand Response: Results on What Remains to Be Done to Achieve Its Potential - Cost-Effectiveness Working Group Loads Providing Ancillary Services: Review of International Experience 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)

411

Energy Demand Staff Scientist  

E-Print Network [OSTI]

Energy Demand in China Lynn Price Staff Scientist February 2, 2010 #12;Founded in 1988 Focused on End-Use Energy Efficiency ~ 40 Current Projects in China Collaborations with ~50 Institutions in China Researcher #12;Talk OutlineTalk Outline · Overview · China's energy use and CO2 emission trends · Energy

Eisen, Michael

412

Energy Demand Modeling  

Science Journals Connector (OSTI)

From the end of World War II until the early 1970s there was a strong and steady increase in the demand for energy. The abundant supplies of fossil and other ... an actual fall in the real price of energy of abou...

S. L. Schwartz

1980-01-01T23:59:59.000Z

413

Demand Controlled Ventilation and Classroom Ventilation  

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

3 3 Authors Fisk, William J., Mark J. Mendell, Molly Davies, Ekaterina Eliseeva, David Faulkner, Tienzen Hong, and Douglas P. Sullivan Publisher Lawrence Berkeley National Laboratory City Berkeley Keywords absence, building s, carbon dioxide, demand - controlled ventilation, energy, indoor air quality, schools, ventilation Abstract This document summarizes a research effort on demand controlled ventilation and classroom ventilation. The research on demand controlled ventilation included field studies and building energy modeling. Major findings included:  The single-location carbon dioxide sensors widely used for demand controlled ventilation frequently have large errors and will fail to effectively control ventilation rates (VRs).  Multi-location carbon dioxide measurement systems with more expensive sensors connected to multi-location sampling systems may measure carbon dioxide more accurately.

414

The electricity consumption impacts of commercial energy management systems  

SciTech Connect (OSTI)

An investigation of energy management systems (EMS) in large commercial and institutional buildings in North Carolina was undertaken to determine how EMS currently affect electricity consumption and what their potential is for being used to reduce on-peak electricity demand. A survey was mailed to 5000 commercial customers; the 430 responses were tabulated and analyzed; EMS vendors were interviewed, and 30 sites were investigated in detail. The detailed assessments included a site interview and reconstruction of historic billing data to evaluate EMS impact, if any. The results indicate that well-tuned EMS can result in a 10 to 40 percent reduction in billed demand, and smaller reductions in energy.

Buchanan, S.; Taylor, R.; Paulos, S.; Warren, W.; Hay, J.

1989-02-01T23:59:59.000Z

415

2012 SG Peer Review - Dramatic Residential Demand Reduction in the Desert Southwest - Robert Boehm, Univ. of Nevada, Las Vegas  

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

S S t G id P 2012 Smart Grid Program Peer Review Meeting "D ti D d R d ti "Dramatic Demand Reduction in the Desert Southwest" Robert F Boehm Robert F. Boehm Center for Energy Research University of Nevada Las Vegas June 8, 2012 "Dramatic Demand Reduction in the Desert Southwest" in the Desert Southwest Objective Decrease the peak electrical demand by 65% over code-built houses in a new development of 185 homes. Life-cycle Funding ($K) FY08 - FY13 (now FY15) Technical Scope 1. Build energy conserving residences. 2. Include PV on the residences. FY08 - FY13 (now FY15) $6948k 3. Develop a demand control system that gives the customer options and that is enhanced by an artificial intelligence supplemental system. Instantaneous December 2008 power pricing information will be available

416

Optimal Demand Response Based on Utility Maximization in Power Networks  

E-Print Network [OSTI]

Optimal Demand Response Based on Utility Maximization in Power Networks Na Li, Lijun Chen different appliances including PHEVs and batteries and propose a demand response approach based on utility. The utility company can thus use dynamic pricing to coordinate demand responses to the benefit of the overall

Low, Steven H.

417

Demand response compensation, net Benefits and cost allocation: comments  

SciTech Connect (OSTI)

FERC's Supplemental Notice of Public Rulemaking addresses the question of proper compensation for demand response in organized wholesale electricity markets. Assuming that the Commission would proceed with the proposal ''to require tariff provisions allowing demand response resources to participate in wholesale energy markets by reducing consumption of electricity from expected levels in response to price signals, to pay those demand response resources, in all hours, the market price of energy for such reductions,'' the Commission posed questions about applying a net benefits test and rules for cost allocation. This article summarizes critical points and poses implications for the issues of net benefit tests and cost allocation. (author)

Hogan, William W.

2010-11-15T23:59:59.000Z

418

Managing Energy Demand With Standards and Information  

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

Managing Energy Demand With Standards and Information Managing Energy Demand With Standards and Information Speaker(s): Sebastien Houde Date: September 13, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Christopher Payne The goal of this talk is to discuss two interrelated research projects that aim to assess the welfare effects of energy policies that rely on standards and information. The first project focuses on the Energy Star certification program. Using unique micro-data on the US refrigerator market, I first show that consumers respond to certification in different ways. Some consumers appear to rely heavily on Energy Star and pay little attention to electricity costs, others are the reverse, and still others appear to be insensitive to both electricity costs and Energy Star. I then develop a

419

Modeling demand response and economic impact of advanced and smart metering  

Science Journals Connector (OSTI)

Advanced metering constitutes an essential component of communications between electricity suppliers and consumers. It may be possible to augment demand response by coupling Advanced Metering Infrastructure (AMI)...

Praneeth Aketi; Suvrajeet Sen

2014-09-01T23:59:59.000Z

420

Unexpected consequences of demand response : implications for energy and capacity price level and volatility .  

E-Print Network [OSTI]

??Historically, electricity consumption has been largely insensitive to short term spot market conditions, requiring the equating of supply and demand to occur almost exclusively through (more)

Levy, Tal Z. (Tal Ze'ev)

2014-01-01T23:59:59.000Z

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


421

Power system balancing with high renewable penetration : the potential of demand response .  

E-Print Network [OSTI]

??This study investigated the ability of responsive demand to stabilize the electrical grid when intermittent renewable resources are present. The WILMAR stochastic unit commitment model (more)

Critz, David Karl

2012-01-01T23:59:59.000Z

422

The Impact on Consumer Behavior of Energy Demand Side Management Programs Measurement Techniques and Methods.  

E-Print Network [OSTI]

??Much effort has gone into measuring the impact of Demand Side Management (DSM) programs on energy usage, particularly in regards to electric usage. However, there (more)

Pursley, Jeffrey L

2014-01-01T23:59:59.000Z

423

Evaluation of Conservation Voltage Reduction as a tool for demand side management.  

E-Print Network [OSTI]

??To ensure stability of the power grid, electricity supply and demand must remain in balance in real time. Traditionally utilities, call upon peaking power plants (more)

Dorrody, Ali

2014-01-01T23:59:59.000Z

424

Data centres power profile selecting policies for Demand Response: Insights of Green Supply Demand Agreement  

Science Journals Connector (OSTI)

Abstract Demand Response mechanisms serve to preserve the stability of the power grid by shedding the electricity load of the consumers during power shortage situations in order to match power generation to demand. Data centres have been identified as excellent candidates to participate in such mechanisms. Recently a novel supply demand agreement have been proposed to foster power adaptation collaboration between energy provider and data centres. In this paper, we analyse the contractual terms of this agreement by proposing and studying different data centres power profile selecting policies. To this end, we setup a discrete event simulation and analysed the power grids state of a German energy provider. We believe that our analysis provides insight and knowledge for any energy utility in setting up the corresponding demand supply agreements.

Robert Basmadjian; Lukas Mller; Hermann De Meer

2015-01-01T23:59:59.000Z

425

Only tough choices in Meeting growing demand  

SciTech Connect (OSTI)

U.S. electricity demand is not growing very fast by international or historical standards. Yet meeting this relatively modest growth is proving difficult because investment in new capacity is expected to grow at an even slower pace. What is more worrisome is that a confluence of factors has added considerable uncertainties, making the investment community less willing to make the long-term commitments that will be needed during the coming decade.

NONE

2007-12-15T23:59:59.000Z

426

Open Automated Demand Response for Small Commerical Buildings  

SciTech Connect (OSTI)

This report characterizes small commercial buildings by market segments, systems and end-uses; develops a framework for identifying demand response (DR) enabling technologies and communication means; and reports on the design and development of a low-cost OpenADR enabling technology that delivers demand reductions as a percentage of the total predicted building peak electric demand. The results show that small offices, restaurants and retail buildings are the major contributors making up over one third of the small commercial peak demand. The majority of the small commercial buildings in California are located in southern inland areas and the central valley. Single-zone packaged units with manual and programmable thermostat controls make up the majority of heating ventilation and air conditioning (HVAC) systems for small commercial buildings with less than 200 kW peak electric demand. Fluorescent tubes with magnetic ballast and manual controls dominate this customer group's lighting systems. There are various ways, each with its pros and cons for a particular application, to communicate with these systems and three methods to enable automated DR in small commercial buildings using the Open Automated Demand Response (or OpenADR) communications infrastructure. Development of DR strategies must consider building characteristics, such as weather sensitivity and load variability, as well as system design (i.e. under-sizing, under-lighting, over-sizing, etc). Finally, field tests show that requesting demand reductions as a percentage of the total building predicted peak electric demand is feasible using the OpenADR infrastructure.

Dudley, June Han; Piette, Mary Ann; Koch, Ed; Hennage, Dan

2009-05-01T23:59:59.000Z

427

Demand Response Opportunities in Industrial Refrigerated Warehouses in California  

SciTech Connect (OSTI)

Industrial refrigerated warehouses that implemented energy efficiency measures and have centralized control systems can be excellent candidates for Automated Demand Response (Auto-DR) due to equipment synergies, and receptivity of facility managers to strategies that control energy costs without disrupting facility operations. Auto-DR utilizes OpenADR protocol for continuous and open communication signals over internet, allowing facilities to automate their Demand Response (DR). Refrigerated warehouses were selected for research because: They have significant power demand especially during utility peak periods; most processes are not sensitive to short-term (2-4 hours) lower power and DR activities are often not disruptive to facility operations; the number of processes is limited and well understood; and past experience with some DR strategies successful in commercial buildings may apply to refrigerated warehouses. This paper presents an overview of the potential for load sheds and shifts from baseline electricity use in response to DR events, along with physical configurations and operating characteristics of refrigerated warehouses. Analysis of data from two case studies and nine facilities in Pacific Gas and Electric territory, confirmed the DR abilities inherent to refrigerated warehouses but showed significant variation across facilities. Further, while load from California's refrigerated warehouses in 2008 was 360 MW with estimated DR potential of 45-90 MW, actual achieved was much less due to low participation. Efforts to overcome barriers to increased participation may include, improved marketing and recruitment of potential DR sites, better alignment and emphasis on financial benefits of participation, and use of Auto-DR to increase consistency of participation.

Goli, Sasank; McKane, Aimee; Olsen, Daniel

2011-06-14T23:59:59.000Z

428

Decentralized demandsupply matching using community microgrids and consumer demand response: A scenario analysis  

Science Journals Connector (OSTI)

Abstract Developing countries constantly face the challenge of reliably matching electricity supply to increasing consumer demand. The traditional policy decisions of increasing supply and reducing demand centrally, by building new power plants and/or load shedding, have been insufficient. Locally installed microgrids along with consumer demand response can be suitable decentralized options to augment the centralized grid based systems and plug the demandsupply gap. The objectives of this paper are to: (1) develop a framework to identify the appropriate decentralized energy options for demandsupply matching within a community, and, (2) determine which of these options can suitably plug the existing demandsupply gap at varying levels of grid unavailability. A scenario analysis framework is developed to identify and assess the impact of different decentralized energy options at a community level and demonstrated for a typical urban residential community Vijayanagar, Bangalore in India. A combination of LPG based CHP microgrid and proactive demand response by the community is the appropriate option that enables the Vijayanagar community to meet its energy needs 24/7 in a reliable, cost-effective manner. The paper concludes with an enumeration of the barriers and feasible strategies for the implementation of community microgrids in India based on stakeholder inputs.

Kumudhini Ravindra; Parameshwar P. Iyer

2014-01-01T23:59:59.000Z

429

Reducing Peak Demand to Defer Power Plant Construction in Oklahoma  

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

Reducing Peak Demand to Defer Power Plant Construction in Oklahoma Reducing Peak Demand to Defer Power Plant Construction in Oklahoma Located in the heart of "Tornado Alley," Oklahoma Gas & Electric Company's (OG&E) electric grid faces significant challenges from severe weather, hot summers, and about 2% annual load growth. To better control costs and manage electric reliability under these conditions, OG&E is pursuing demand response strategies made possible by implementation of smart grid technologies, tools, and techniques from 2010-2012. The objective is to engage customers in lowering peak demand using smart technologies in homes and businesses and to achieve greater efficiencies on the distribution system. The immediate goal: To defer two 165 MW power plants currently planned for

430

Opportunities, Barriers and Actions for Industrial Demand Response in California  

E-Print Network [OSTI]

begun to require energy auditors to include recommendationsenergy efficiency (EE) measures, but increasing interest in demand response has led the IOUs to ask auditors

McKane, Aimee T.

2009-01-01T23:59:59.000Z

431

Unlocking the potential for efficiency and demand response through advanced  

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

Unlocking the potential for efficiency and demand response through advanced Unlocking the potential for efficiency and demand response through advanced metering Title Unlocking the potential for efficiency and demand response through advanced metering Publication Type Conference Paper LBNL Report Number LBNL-55673 Year of Publication 2004 Authors Levy, Roger, Karen Herter, and John Wilson Conference Name 2004 ACEEE Summer Study on Energy Efficiency in Buildings Date Published 06/2004 Publisher ACEEE Conference Location Pacific Grove, CA Call Number California Energy Commission Keywords demand response, demand response and distributed energy resources center, demand response research center, energy efficiency demand response advanced metering, rate programs & tariffs Abstract Reliance on the standard cumulative kilowatt-hour meter substantially compromises energy efficiency and demand response programs. Without advanced metering, utilities cannot support time-differentiated rates or collect the detailed customer usage information necessary to (1) educate the customer to the economic value of efficiency and demand response options, or (2) distribute load management incentives proportional to customer contribution. These deficiencies prevent the customer feedback mechanisms that would otherwise encourage economically sound demand-side investments and behaviors. Thus, the inability to collect or properly price electricity usage handicaps the success of almost all efficiency and demand response options.

432

U.S. Coal Supply and Demand  

Gasoline and Diesel Fuel Update (EIA)

U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand 2010 Review (entire report also available in printer-friendly format ) Previous Editions 2009 Review 2008 Review 2007 Review 2006 Review 2005 Review 2004 Review 2003 Review 2002 Review 2001 Review 2000 Review 1999 Review Data for: 2010 Released: May 2011 Next Release Date: April 2012 Table 3. Electric Power Sector Net Generation, 2009-2010 (Million Kilowatthours) New England Coal 14,378 14,244 -0.9 Hydroelectric 7,759 6,861 -11.6 Natural Gas 48,007 54,680 13.9 Nuclear 36,231 38,361 5.9 Other (1) 9,186 9,063 -1.3 Total 115,559 123,210 6.6 Middle Atlantic Coal 121,873 129,935 6.6 Hydroelectric 28,793 26,463 -8.1 Natural Gas 89,808 104,341 16.2 Nuclear 155,140 152,469 -1.7

433

Modeling of GE Appliances in GridLAB-D: Peak Demand Reduction  

SciTech Connect (OSTI)

The widespread adoption of demand response enabled appliances and thermostats can result in significant reduction to peak electrical demand and provide potential grid stabilization benefits. GE has developed a line of appliances that will have the capability of offering several levels of demand reduction actions based on information from the utility grid, often in the form of price. However due to a number of factors, including the number of demand response enabled appliances available at any given time, the reduction of diversity factor due to the synchronizing control signal, and the percentage of consumers who may override the utility signal, it can be difficult to predict the aggregate response of a large number of residences. The effects of these behaviors can be modeled and simulated in open-source software, GridLAB-D, including evaluation of appliance controls, improvement to current algorithms, and development of aggregate control methodologies. This report is the first in a series of three reports describing the potential of GE's demand response enabled appliances to provide benefits to the utility grid. The first report will describe 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 second and third reports will explore the potential 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 and the effects on volt-var control schemes.

Fuller, Jason C.; Vyakaranam, Bharat GNVSR; Prakash Kumar, Nirupama; Leistritz, Sean M.; Parker, Graham B.

2012-04-29T23:59:59.000Z

434

Scenario Analysis of Peak Demand Savings for Commercial Buildings with  

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

Scenario Analysis of Peak Demand Savings for Commercial Buildings with Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California Title Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California Publication Type Conference Paper LBNL Report Number LBNL-3636e Year of Publication 2010 Authors Yin, Rongxin, Sila Kiliccote, Mary Ann Piette, and Kristen Parrish Conference Name 2010 ACEEE Summer Study on Energy Efficiency in Buildings Conference Location Pacific Grove, CA Keywords demand response and distributed energy resources center, demand response research center, demand shifting (pre-cooling), DRQAT Abstract This paper reports on the potential impact of demand response (DR) strategies in commercial buildings in California based on the Demand Response Quick Assessment Tool (DRQAT), which uses EnergyPlus simulation prototypes for office and retail buildings. The study describes the potential impact of building size, thermal mass, climate, and DR strategies on demand savings in commercial buildings. Sensitivity analyses are performed to evaluate how these factors influence the demand shift and shed during the peak period. The whole-building peak demand of a commercial building with high thermal mass in a hot climate zone can be reduced by 30% using an optimized demand response strategy. Results are summarized for various simulation scenarios designed to help owners and managers understand the potential savings for demand response deployment. Simulated demand savings under various scenarios were compared to field-measured data in numerous climate zones, allowing calibration of the prototype models. The simulation results are compared to the peak demand data from the Commercial End-Use Survey for commercial buildings in California. On the economic side, a set of electricity rates are used to evaluate the impact of the DR strategies on economic savings for different thermal mass and climate conditions. Our comparison of recent simulation to field test results provides an understanding of the DR potential in commercial buildings.

435

DOE Releases New Analysis Showing Significant Advances in Electric Vehicle  

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

New Analysis Showing Significant Advances in Electric New Analysis Showing Significant Advances in Electric Vehicle Deployment DOE Releases New Analysis Showing Significant Advances in Electric Vehicle Deployment February 8, 2011 - 12:00am Addthis WASHINGTON - The U.S. Department of Energy today released One Million Electric Vehicles by 2015 (pdf - 220 kb), an analysis of advances in electric vehicle deployment and progress to date in meeting President Obama's goal of putting one million electric vehicles on the road by 2015. The analysis shows that while the goal is ambitious, it is also achievable based on steps already taken as part of the Recovery Act and additional policy initiatives proposed by President Obama -- including improvements to existing consumer tax credits, programs to help cities prepare for the growing demand for electric vehicles, and strong support

436

Optimal Planning and Operation of Smart Grids with Electric Vehicle Interconnection  

E-Print Network [OSTI]

index (1,2, 24) fixed electricity costs, $ macrogrid CO 2the commercial building, $ electricity costs, $ distributedcosts, $ variable electricity costs (energy and demand

Stadler, Michael

2012-01-01T23:59:59.000Z

437

DSM Electricity Savings Potential in the Buildings Sector in APP Countries  

E-Print Network [OSTI]

owned integrated hydro electricity utilities prevail,s Loading Order for Electricity Resources”, Staff Report,International Developments in Electricity Demand Management

McNeil, MIchael

2011-01-01T23:59:59.000Z

438

China End-Use Energy Demand Modeling  

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

China End-Use Energy Demand Modeling China End-Use Energy Demand Modeling Speaker(s): Nan Zhou Date: October 8, 2009 (All day) Location: 90-3122 As a consequence of soaring energy demand due to the staggering pace of its economic growth, China overtook the United States in 2007 to become the world's biggest contributor to CO2 emissions (IEA, 2007). Since China is still in an early stage of industrialization and urbanization, economic development promises to keep China's energy demand growing strongly. Furthermore, China's reliance on fossil fuel is unlikely to change in the long term, and increased needs will only heighten concerns about energy security and climate change. In response, the Chinese government has developed a series of policies and targets aimed at improving energy efficiency, including both short-term targets and long-term strategic

439

Guidelines for Marketing Demand-Side Management in the Commercial Sector  

E-Print Network [OSTI]

For the past decade, electric and gas utilities throughout the nation, not just in hot and humid climates, have promoted energy efficiency through a variety of demand-side management (DSM) programs. In 1984, the Electric Power Research Institute...

George, S. S.

1988-01-01T23:59:59.000Z

440

COMBINING DIVERSE DATA SOURCES FOR CEDSS, AN AGENT-BASED MODEL OF DOMESTIC ENERGY DEMAND  

E-Print Network [OSTI]

energy use covers the use of electricity, gas and oil within the home for space and water heating and electricalenergy demand. These exercises led us to focus on electrical

Gotts, Nicholas Mark; Polhill, Gary; Craig, Tony; Galan-Diaz, Carlos

2014-01-01T23:59:59.000Z

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


441

Demand Response and Variable Generation Integration Scoping Study  

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

Market and Policy Barriers for Demand Market and Policy Barriers for Demand Response Providing Ancillary Services in U.S. Electricity Markets Peter Cappers, Jason MacDonald, Charles Goldman April 2013 Report Summary 1 Energy Analysis Department  Electricity Markets and Policy Group Presentation Overview  Objectives and Approach  Wholesale and Retail Market Environments  Market and Policy Barrier Typology  Prototypical Regional Barrier Assessment 2 Energy Analysis Department  Electricity Markets and Policy Group A Role for Demand Response to Provide Ancillary Services  Increasing penetration of renewable energy generation in U.S. electricity markets means that bulk power system operators will need to manage the variable and uncertain nature of many renewable resources

442

Recovery Act: State Assistance for Recovery Act Related Electricity...  

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

carbon capture and storage, transmission lines, energy storage, smart grid, demand response equipment, and electric and hybrid-electric vehicles. View a full list of states...

443

Electric Power Research Institute Cooperation to Increase Energy...  

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

energy efficiency and promoting the widespread adoption of electric energy demand response programs in an effort to curtail energy use during peak periods. Electric Power...

444

Please cite this article in press as: Hughes L, Meeting residential space heating demand with wind-generated electricity, Renewable Energy (2009), doi:10.1016/j.renene.2009.11.014  

E-Print Network [OSTI]

, or compressed air (Blarke and Lund 2008). Energy suppliers are forced to go to these lengths when integrating. The benefits as well as the limitations of the approach are discussed in detail. Keywords: Energy storage- generated electricity, Renewable Energy (2009), doi:10.1016/j.renene.2009.11.014 ERG/200909 Meeting

Hughes, Larry

445

Energy and Demand Savings from Implementation Costs in Industrial Facilities  

E-Print Network [OSTI]

.g., natural gas) in each code [6]. Table 1. Energy Streams STREAM CODE Electrical Consumption EC Electrical Demand ED Other Electrical Fees EF Electricity E1 Natural Gas E2 L.P.G. E3 #1 Fuel Oil E4 #2 Fuel Oil E5 #4 Fuel Oil E6 #6 Fuel... that are widely scattered). Therefore, the correlations of implementation costs with electrical consumption and natural gas are also investigated in Tables 2 and 4, because they are highly important both nationally and in Texas. In fact, the total number...

Razinha, J. A.; Heffington, W. M.

446

Modeling Electric Vehicle Benefits Connected to Smart Grids  

E-Print Network [OSTI]

costs EV battery degradation costs electricity sales fixedand sales, DER capital costs, fuel costs, demand response measures and EV

Stadler, Michael

2012-01-01T23:59:59.000Z

447

IEEE TRANSACTIONS ON SMART GRID, VOL. 5, NO. 2, MARCH 2014 861 An Optimal and Distributed Demand Response  

E-Print Network [OSTI]

of demand response management for the future smart grid that integrates plug-in electric vehicles for augmented Lagrangian. I. INTRODUCTION I N THE electricity market, demand response [1] is a mech- anism to manage users' consumption behavior under spe- cific supply conditions. The goal of demand response

Nehorai, Arye

448

OpenEI - Electric Capacity  

Open Energy Info (EERE)

New Zealand Energy New Zealand Energy Outlook (2010): Electricity and Generation Capacity http://en.openei.org/datasets/node/357 The New Zealand Ministry of Economic Development publishes an annual Energy Outlook, which presents projections of New Zealand's future energy supply, demand, prices and greenhouse gas emissions. The principle aim of these projections is to inform the national energy debate. Included here are the model results for electricity and generation capacity. The spreadsheet provides an interactive tool for selecting which model results to view, and which scenarios to evaluate; full model results for each scenario are also included.

License

449

Understanding and Analysing Energy Demand  

Science Journals Connector (OSTI)

This chapter introduces the concept of energy demand using basic micro-economics and presents the three-stage decision making process of energy demand. It then provides a set of simple ... (such as price and inco...

Subhes C. Bhattacharyya

2011-01-01T23:59:59.000Z

450

Opportunities for Automated Demand Response in Wastewater Treatment  

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

Opportunities for Automated Demand Response in Wastewater Treatment Opportunities for Automated Demand Response in Wastewater Treatment Facilities in California - Southeast Water Pollution Control Plant Case Study Title Opportunities for Automated Demand Response in Wastewater Treatment Facilities in California - Southeast Water Pollution Control Plant Case Study Publication Type Report LBNL Report Number LBNL-6056E Year of Publication 2012 Authors Olsen, Daniel, Sasank Goli, David Faulkner, and Aimee T. McKane Date Published 12/2012 Publisher CEC/LBNL Keywords market sectors, technologies Abstract This report details a study into the demand response potential of a large wastewater treatment facility in San Francisco. Previous research had identified wastewater treatment facilities as good candidates for demand response and automated demand response, and this study was conducted to investigate facility attributes that are conducive to demand response or which hinder its implementation. One years' worth of operational data were collected from the facility's control system, submetered process equipment, utility electricity demand records, and governmental weather stations. These data were analyzed to determine factors which affected facility power demand and demand response capabilities.

451

Demand Response: Load Management Programs  

E-Print Network [OSTI]

CenterPoint Load Management Programs CATEE Conference October, 2012 Agenda Outline I. General Demand Response Definition II. General Demand Response Program Rules III. CenterPoint Commercial Program IV. CenterPoint Residential Programs... V. Residential Discussion Points Demand Response Definition of load management per energy efficiency rule 25.181: ? Load control activities that result in a reduction in peak demand, or a shifting of energy usage from a peak to an off...

Simon, J.

2012-01-01T23:59:59.000Z

452

Marketing Demand-Side Management  

E-Print Network [OSTI]

they the only game in town, enjoying a captive market. Demand-side management (DSM) again surfaced as a method for increasing customer value and meeting these competitive challenges. In designing and implementing demand-side management (DSM) programs we... have learned a great deal about what it takes to market and sell DSM. This paper focuses on how to successfully market demand-side management. KEY STEPS TO MARKETING DEMAND-SIDE MANAGEMENT Management Commitment The first key element in marketing...

O'Neill, M. L.

1988-01-01T23:59:59.000Z

453

Demand Charges | Open Energy Information  

Open Energy Info (EERE)

Charges Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleDemandCharges&oldid488967"...

454

Assessment of Demand Response Resource  

E-Print Network [OSTI]

Assessment of Demand Response Resource Potentials for PGE and Pacific Power Prepared for: Portland January 15, 2004 K:\\Projects\\2003-53 (PGE,PC) Assess Demand Response\\Report\\Revised Report_011504.doc #12;#12;quantec Assessment of Demand Response Resource Potentials for I-1 PGE and Pacific Power I. Introduction

455

ERCOT Demand Response Paul Wattles  

E-Print Network [OSTI]

ERCOT Demand Response Paul Wattles Senior Analyst, Market Design & Development, ERCOT Whitacre;Definitions of Demand Response · `The short-term adjustment of energy use by consumers in response to price to market or reliability conditions.' (NAESB) #12;Definitions of Demand Response · The common threads

Mohsenian-Rad, Hamed

456

Pricing data center demand response  

Science Journals Connector (OSTI)

Demand response is crucial for the incorporation of renewable energy into the grid. In this paper, we focus on a particularly promising industry for demand response: data centers. We use simulations to show that, not only are data centers large loads, ... Keywords: data center, demand response, power network, prediction based pricing

Zhenhua Liu; Iris Liu; Steven Low; Adam Wierman

2014-06-01T23:59:59.000Z

457

Demo Abstract: Toward Data-driven Demand-Response Optimization in a Campus Microgrid  

E-Print Network [OSTI]

Demo Abstract: Toward Data-driven Demand-Response Optimization in a Campus Microgrid Yogesh Simmhan-driven demand response optimization (DR) in the USC campus microgrid, as part of the Los An- geles Smart Grid of this project is to investigate techniques for demand-response optimization (DR) ­ cur- tailing the electricity

Prasanna, Viktor K.

458

Quantifying Benefits of Demand Response and Look-ahead Dispatch in Systems  

E-Print Network [OSTI]

Quantifying Benefits of Demand Response and Look-ahead Dispatch in Systems with Variable Resources Electric Energy System #12;#12;Quantifying Benefits of Demand Response and Look-ahead Dispatch in Systems benefits correspond to a real-world power system, as we use actual data on demand-response and wind

459

Residential Demand Response under Uncertainty Paul Scott and Sylvie Thiebaux and  

E-Print Network [OSTI]

Residential Demand Response under Uncertainty Paul Scott and Sylvie Thi´ebaux and Menkes van den stochastic optimisation in residential demand response. 1 Introduction Electricity consumption in residential participate in smart grid activities such as demand response where loads are shifted to times favourable

Thiébaux, Sylvie

460

The Influence of Demand Resource Response Time in Balancing Wind and Load  

Science Journals Connector (OSTI)

The integration of demand response resources into wholesale electricity markets facilitates the growth in wind power integration. Available demand resources have different capabilities in terms of response time, as demonstrated by the variety of programs ... Keywords: demand response, wind integration, power spectral density

Judith Cardell; Lindsay Anderson

2013-01-01T23:59:59.000Z

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


461

Demand-Side Load Scheduling Incentivized by Dynamic Energy Hadi Goudarzi, Safar Hatami, and Massoud Pedram  

E-Print Network [OSTI]

Demand-Side Load Scheduling Incentivized by Dynamic Energy Prices Hadi Goudarzi, Safar Hatami growth in electrical energy consumption under worst- case demand conditions [1]. To avoid expending 90089 {hgoudarz, shatami, pedram}@usc.edu Abstract--Demand response is an important part of the smart

Pedram, Massoud

462

Impacts of Western Area Power Administration`s power marketing alternatives on utility demand-side management and conservation and renewable energy programs  

SciTech Connect (OSTI)

The Western Area Power Administration (Western) requires all of its long-term firm power customers to implement programs that promote the conservation of electric energy or facilitate the use of renewable energy resources. Western has also proposed that all customers develop integrated resource plans that include cost-effective demand-side management programs. As part of the preparation of Western`s Electric Power Marketing Environmental Impact Statement, Argonne National Laboratory (ANL) developed estimates of the reductions in energy demand resulting from Western`s conservation and renewable energy activities in its Salt Lake City Area Office. ANL has also estimated the energy-demand reductions from cost-effective, demand-side management programs that could be included in the integrated resource plans of the customers served by Western`s Salt Lake City Area Office. The results of this study have been used to adjust the expected hourly demand for Western`s major systems in the Salt Lake City Area. The expected hourly demand served as the basis for capacity expansion plans develops with ANL`s Production and Capacity Expansion (PACE) model.

Cavallo, J.D.; Germer, M.F.; Tompkins, M.M.

1995-03-01T23:59:59.000Z

463

Overview of Demand Response  

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

08 PJM 08 PJM www.pjm.com ©2003 PJM Overview of Demand Response PJM ©2008 PJM www.pjm.com ©2003 PJM Growth, Statistics, and Current Footprint AEP, Dayton, ComEd, & DUQ Dominion Generating Units 1,200 + Generation Capacity 165,000 MW Peak Load 144,644 MW Transmission Miles 56,070 Area (Square Miles) 164,250 Members 500 + Population Served 51 Million Area Served 13 States and DC Generating Units 1,200 + Generation Capacity 165,000 MW Peak Load 144,644 MW Transmission Miles 56,070 Area (Square Miles) 164,250 Members 500 + Population Served 51 Million Area Served 13 States and DC Current PJM RTO Statistics Current PJM RTO Statistics PJM Mid-Atlantic Integrations completed as of May 1 st , 2005 ©2008 PJM

464

ResourceTask Network Formulations for Industrial Demand Side Management of a Steel Plant  

Science Journals Connector (OSTI)

In the industrial demand side management (iDSM) or demand response (DR) grid-consumer interface, the electricity provider gives economic incentives to the industry to alter their electricity usage behavior and there are generally two approaches: ... It can be used as an important tool for industrial demand side management or demand response, a concept in which the plant adapts its operational behavior by changing the timing of electricity usage from on-peak to off-peak hours for the collective benefit of society. ...

Pedro M. Castro; Lige Sun; Iiro Harjunkoski

2013-08-13T23:59:59.000Z

465

The Impact of Technological Change and Lifestyles on the Energy Demand  

E-Print Network [OSTI]

demand into a model of total private consumption. Private consumption is determined by economic variables of technological and socio- demographic variables on the demand for gasoline/diesel, heating and electricity. Key, households' electricity and heat consumption are growing rapidly despite of technological progress

Steininger, Karl W.

466

Demand Response Opportunities in Industrial Refrigerated Warehouses in  

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

Response Opportunities in Industrial Refrigerated Warehouses in Response Opportunities in Industrial Refrigerated Warehouses in California Title Demand Response Opportunities in Industrial Refrigerated Warehouses in California Publication Type Conference Paper LBNL Report Number LBNL-4837E Year of Publication 2011 Authors Goli, Sasank, Aimee T. McKane, and Daniel Olsen Conference Name 2011 ACEEE Summer Study on Energy Efficiency in Industry Date Published 08/2011 Conference Location Niagara Falls, NY Keywords market sectors, openadr, refrigerated warehouses Abstract Industrial refrigerated warehouses that implemented energy efficiency measures and have centralized control systems can be excellent candidates for Automated Demand Response (Auto-DR) due to equipment synergies, and receptivity of facility managers to strategies that control energy costs without disrupting facility operations. Auto-DR utilizes OpenADR protocol for continuous and open communication signals over internet, allowing facilities to automate their Demand Response (DR). Refrigerated warehouses were selected for research because: They have significant power demand especially during utility peak periods; most processes are not sensitive to short-term (2-4 hours) lower power and DR activities are often not disruptive to facility operations; the number of processes is limited and well understood; and past experience with some DR strategies successful in commercial buildings may apply to refrigerated warehouses. This paper presents an overview of the potential for load sheds and shifts from baseline electricity use in response to DR events, along with physical configurations and operating characteristics of refrigerated warehouses. Analysis of data from two case studies and nine facilities in Pacific Gas and Electric territory, confirmed the DR abilities inherent to refrigerated warehouses but showed significant variation across facilities. Further, while load from California's refrigerated warehouses in 2008 was 360 MW with estimated DR potential of 45-90 MW, actual achieved was much less due to low participation. Efforts to overcome barriers to increased participation may include, improved marketing and recruitment of potential DR sites, better alignment and emphasis on financial benefits of participation, and use of Auto-DR to increase consistency of participation.

467

Energy technologies and their impact on demand  

SciTech Connect (OSTI)

Despite the uncertainties, energy demand forecasts must be made to guide government policies and public and private-sector capital investment programs. Three principles can be identified in considering long-term energy prospects. First energy demand will continue to grow, driven by population growth, economic development, and the current low per capita energy consumption in developing countries. Second, energy technology advancements alone will not solve the problem. Energy-efficient technologies, renewable resource technologies, and advanced electric power technologies will all play a major role but will not be able to keep up with the growth in world energy demand. Third, environmental concerns will limit the energy technology choices. Increasing concern for environmental protection around the world will restrict primarily large, centralized energy supply facilities. The conclusion is that energy system diversity is the only solution. The energy system must be planned with consideration of both supply and demand technologies, must not rely on a single source of energy, must take advantage of all available technologies that are specially suited to unique local conditions, must be built with long-term perspectives, and must be able to adapt to change.

Drucker, H.

1995-06-01T23:59:59.000Z

468

Rates and technologies for mass-market demand response  

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

Rates and technologies for mass-market demand response Rates and technologies for mass-market demand response Title Rates and technologies for mass-market demand response Publication Type Conference Paper LBNL Report Number LBNL-50626 Year of Publication 2002 Authors Herter, Karen, Roger Levy, John Wilson, and Arthur H. Rosenfeld Conference Name 2002 ACEEE Summer Study on Energy Efficiency in Buildings Conference Location Pacific Grove, CA Keywords demand response, demand response and distributed energy resources center, demand response research center, rate programs & tariffs Abstract Demand response programs are often quickly and poorly crafted in reaction to an energy crisis and disappear once the crisis subsides, ensuring that the electricity system will be unprepared when the next crisis hits. In this paper, we propose to eliminate the event-driven nature of demand response programs by considering demand responsiveness a component of the utility obligation to serve. As such, demand response can be required as a condition of service, and the offering of demand response rates becomes a requirement of utilities as an element of customer service. Using this foundation, we explore the costs and benefits of a smart thermostat-based demand response system capable of two types of programs: (1) a mandatory, system-operator controlled, contingency program, and (2) a voluntary, customer controlled, bill management program with rate-based incentives. Any demand response program based on this system could consist of either or both of these components. Ideally, these programs would be bundled, providing automatic load management through customer-programmed price response, plus up to 10 GW of emergency load shedding capability in California. Finally, we discuss options for and barriers to implementation of such a program in California.

469

Oxygenate Supply/Demand Balances  

Gasoline and Diesel Fuel Update (EIA)

Oxygenate Supply/Demand Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model By Tancred C.M. Lidderdale This article first appeared in the Short-Term Energy Outlook Annual Supplement 1995, Energy Information Administration, DOE/EIA-0202(95) (Washington, DC, July 1995), pp. 33-42, 83-85. The regression results and historical data for production, inventories, and imports have been updated in this presentation. Contents * Introduction o Table 1. Oxygenate production capacity and demand * Oxygenate demand o Table 2. Estimated RFG demand share - mandated RFG areas, January 1998 * Fuel ethanol supply and demand balance o Table 3. Fuel ethanol annual statistics * MTBE supply and demand balance o Table 4. EIA MTBE annual statistics * Refinery balances

470

A review of demand-side management policy in the UK  

Science Journals Connector (OSTI)

Abstract Demand-side management (DSM) refers to actions undertaken on the demand side of energy metres. A broad definition of DSM is proposed to include current policy objectives for emissions reduction, energy security and affordability, and encompasses energy efficiency, demand response, and on-site back-up generation and storage. The paper reviews the concept of DSM, outlines the historical impacts of DSM globally since the energy crises of the 1970s, analyses UK DSM policy, and examines the influence of EU Directives on UK DSM policy, as the country is currently deciding on how to include the demand-side in its Electricity Market Reform proposals and wider energy policy. Much of the focus of previous research has been on DSM technological trials and modelling studies rather than DSM policy and the paper contributes to filling this gap. Policy recommendations for the UK context are discussed, and it is clear that the success of DSM policies is determined primarily by regulatory support and utility financial incentives. It is important that policy clarity is provided and that current and new policies do not overlap.

Peter Warren

2014-01-01T23:59:59.000Z

471

EIA Electric Power Forms  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Forms Electric Power Forms EIA Electric Power Forms Listing of Publicly Available and Confidential Data EIA's statistical surveys encompass each significant electric supply and demand activity in the United States. Most of the electric power survey forms resulting data elements are published, but respondent confidentiality is required. The chart below shows the data elements for each survey form and how each data element is treated in regard to confidentiality. Data Categories Data collection forms EIA- 411 EIA- 826 EIA- 860 EIA- 860M EIA- 861 EIA- 923 Frame Information Utility identification and iocation -- -- -- -- X -- Plant identification and iocation -- -- -- X -- X Generation and fuel Latitude and longitude -- -- X -- -- --

472

Electric Vehicles in China: Emissions and Health Impacts  

Science Journals Connector (OSTI)

E-bikes in China are the single largest adoption of alternative fuel vehicles in history, with more than 100 million e-bikes purchased in the past decade and vehicle ownership about 2 larger for e-bikes as for conventional cars; e-car sales, too, are rapidly growing. ... This articles focus on electric vehicles (EVs: electric cars [e-cars] and electric two-wheelers including electric bicycles and light electric scooters [e-bikes]) in China is motivated in part by their unprecedented rise in popularity (Figure 1). ... Elec. vehicles (EV) are proposed in China as a potential option to address dramatically increasing energy demand from on-road transport; however, mass EV use could involve multiple environmental issues since EV use electricity primarily generated by coal. ...

Shuguang Ji; Christopher R. Cherry; Matthew J. Bechle; Ye Wu; Julian D. Marshall

2011-12-22T23:59:59.000Z

473

1.0 Motivation............................................................................................................2 1.1Overview of Energy Supply and Demand in the 21st  

E-Print Network [OSTI]

............................................................................................................2 1.1Overview of Energy Supply and Demand in the 21st Century..........................2 1.2 UK Energy ...................................................................................24 6.6 Correlation between Wind Strength and Demand for Electricity..................24 6

474

The Impact of Hedonism on Domestic Hot Water Energy Demand for Showering ? The Case of the Schanzenfest, Hamburg  

Science Journals Connector (OSTI)

The causes of variation in energy demand for hot water in showering or bathing ... was triangulated with electric meter data to examine energy use behaviours and explore changes in hot water demand. This occurred...

Stephen Lorimer; Marianne Jang; Korinna Thielen

2013-01-01T23:59:59.000Z

475

DEMAND CONTROLLED VENTILATION AND CLASSROOM VENTILATION  

SciTech Connect (OSTI)

This document summarizes a research effort on demand controlled ventilation and classroom ventilation. The research on demand controlled ventilation included field studies and building energy modeling. Major findings included: ? The single-location carbon dioxide sensors widely used for demand controlled ventilation frequently have large errors and will fail to effectively control ventilation rates (VRs).? Multi-location carbon dioxide measurement systems with more expensive sensors connected to multi-location sampling systems may measure carbon dioxide more accurately.? Currently-available optical people counting systems work well much of the time but have large counting errors in some situations. ? In meeting rooms, measurements of carbon dioxide at return-air grilles appear to be a better choice than wall-mounted sensors.? In California, demand controlled ventilation in general office spaces is projected to save significant energy and be cost effective only if typical VRs without demand controlled ventilation are very high relative to VRs in codes. Based on the research, several recommendations were developed for demand controlled ventilation specifications in the California Title 24 Building Energy Efficiency Standards.The research on classroom ventilation collected data over two years on California elementary school classrooms to investigate associations between VRs and student illness absence (IA). Major findings included: ? Median classroom VRs in all studied climate zones were below the California guideline, and 40percent lower in portable than permanent buildings.? Overall, one additional L/s per person of VR was associated with 1.6percent less IA. ? Increasing average VRs in California K-12 classrooms from the current average to the required level is estimated to decrease IA by 3.4percent, increasing State attendance-based funding to school districts by $33M, with $6.2 M in increased energy costs. Further VR increases would provide additional benefits.? Confirming these findings in intervention studies is recommended. ? Energy costs of heating/cooling unoccupied classrooms statewide are modest, but a large portion occurs in relatively few classrooms.

Fisk, William J.; Mendell, Mark J.; Davies, Molly; Eliseeva, Ekaterina; Faulkner, David; Hong, Tienzen; Sullivan, Douglas P.

2014-01-06T23:59:59.000Z

476

Rice Supply, Demand and Related Government Programs.  

E-Print Network [OSTI]

, 1930-55 Year Weighted Year Weighted beginning average price beginning average price August per cwt. August per cwt. Dollars Dollars 'Includes an allowance for unredeemed loans. response to the strengthening of foreign demand, rice prices by 1952... 91 percent of the average parity price during 1935-54, with !he 4 years of World War I1 omitted. The elasticity of demand was assumed to be about -.2. The annually derived price based on the assumed elasticity and the percentage change in price...

Kincannon, John A.

1957-01-01T23:59:59.000Z

477

Definition: Reduced Electricity Cost | Open Energy Information  

Open Energy Info (EERE)

Cost Jump to: navigation, search Dictionary.png Reduced Electricity Cost Functions that provide this benefit could help alter customer usage patterns (demand response with price...

478

Energy Department - Electric Power Research Institute Cooperation...  

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

energy efficiency and promoting the widespread adoption of electric energy demand response programs in an effort to curtail energy use during peak periods. "Through ongoing...

479

Electricity Policy Coordination and Implementation | Department...  

Energy Savers [EERE]

Policy Technical Assistance Get Assistance Recovery Act: State Assistance for Recovery Act Related Electricity Policies Ratepayer-Funded Energy Efficiency Demand Response - Policy...

480

Three Case Studues of the Application of Energy Systems Optimization Best Prectices for Automatic Demand Response  

E-Print Network [OSTI]

Three Case Studies of the Application of Energy Systems Optimization Best Practices for Automatic Demand Response Yifu Shi Kelly Guiberteau Carlos Yagua, P.E. James Watt, P.E. Energy Systems Laboratory, Texas A&M University College.... INTRODUCTION The overall goal of the demand response program is to reduce facilities peak energy demand to reduce the cost of electricity for both Austin Energy and their customer. Reducing the demand mitigates the need to construct additional...

Shi, Y.; Guiberteau, K.; Yagua, C.; Watt, J.

2013-01-01T23:59:59.000Z

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


481

2010 Assessment of Demand Response and Advanced Metering - Staff Report |  

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

Assessment of Demand Response and Advanced Metering - Staff Assessment of Demand Response and Advanced Metering - Staff Report 2010 Assessment of Demand Response and Advanced Metering - Staff Report 2010 Assessment of Demand Response and Advanced Metering - Staff Report. The Federal Energy Regulatory Commission's 2010 Demand Response and Advanced Metering Survey (2010 FERC Survey, covering calendar year 2009) indicates that advanced metering penetration (i.e., the fraction of all installed meters that are advanced meters) reached approximately 8.7 percent in the United States, compared to approximately 4.7 percent in the 2008 FERC Survey (covering calendar year 2007). The upper Midwest, West and Texas have advanced meter penetrations exceeding 13 percent. As in previous surveys, electric cooperatives have the largest penetration, nearly 25 percent, among

482

Definition: Interruptible Load Or Interruptible Demand | Open Energy  

Open Energy Info (EERE)

Interruptible Load Or Interruptible Demand Interruptible Load Or Interruptible Demand Jump to: navigation, search Dictionary.png Interruptible Load Or Interruptible Demand Demand that the end-use customer makes available to its Load-Serving Entity via contract or agreement for curtailment.[1] View on Wikipedia Wikipedia Definition View on Reegle Reegle Definition No reegle definition available. Also Known As non-firm service Related Terms transmission lines, electricity generation, transmission line, firm transmission service, smart grid References ↑ Glossary of Terms Used in Reliability Standards An inli LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ne Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Interruptible_Load_Or_Interruptible_Demand&oldid=502615"

483

2010 Assessment of Demand Response and Advanced Metering - Staff Report |  

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

2010 Assessment of Demand Response and Advanced Metering - Staff 2010 Assessment of Demand Response and Advanced Metering - Staff Report 2010 Assessment of Demand Response and Advanced Metering - Staff Report 2010 Assessment of Demand Response and Advanced Metering - Staff Report. The Federal Energy Regulatory Commission's 2010 Demand Response and Advanced Metering Survey (2010 FERC Survey, covering calendar year 2009) indicates that advanced metering penetration (i.e., the fraction of all installed meters that are advanced meters) reached approximately 8.7 percent in the United States, compared to approximately 4.7 percent in the 2008 FERC Survey (covering calendar year 2007). The upper Midwest, West and Texas have advanced meter penetrations exceeding 13 percent. As in previous surveys, electric cooperatives have the largest penetration, nearly 25 percent, among

484

Tankless Demand Water Heater Basics | Department of Energy  

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

Demand Water Heater Basics Demand Water Heater Basics Tankless Demand Water Heater Basics August 19, 2013 - 2:57pm Addthis Illustration of an electric demand water heater. At the top of the image, the heating unit is shown. Cold water flows in one end of a pipe, flows through and around several curved pipes over the heating elements, and out the other end as hot water. Beneath the heating unit, a typical sink setup is shown. The sink has two pipes coming out the bottom, one for the hot water line and one for the cold water line. Both pipes lead to the heating unit, which is installed in close proximity to the area of hot water use, and is connected to a power source (110 or 220 volts). Demand (tankless or instantaneous) water heaters have heating devices that are activated by the flow of water, so they provide hot water only as

485

Tankless Demand Water Heater Basics | Department of Energy  

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

Tankless Demand Water Heater Basics Tankless Demand Water Heater Basics Tankless Demand Water Heater Basics August 19, 2013 - 2:57pm Addthis Illustration of an electric demand water heater. At the top of the image, the heating unit is shown. Cold water flows in one end of a pipe, flows through and around several curved pipes over the heating elements, and out the other end as hot water. Beneath the heating unit, a typical sink setup is shown. The sink has two pipes coming out the bottom, one for the hot water line and one for the cold water line. Both pipes lead to the heating unit, which is installed in close proximity to the area of hot water use, and is connected to a power source (110 or 220 volts). Demand (tankless or instantaneous) water heaters have heating devices that are activated by the flow of water, so they provide hot water only as

486

Modeling, Analysis, and Control of Demand Response Resources  

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

Modeling, Analysis, and Control of Demand Response Resources Modeling, Analysis, and Control of Demand Response Resources Speaker(s): Johanna Mathieu Date: April 27, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Sila Kiliccote While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can play an active role in power systems via Demand Response (DR). Recent DR programs have focused on peak load reduction in commercial buildings and industrial facilities (C&I facilities). We present a regression-based baseline model, which allows us to quantify DR performance. We use this baseline model to understand the performance of C&I facilities participating in an automated dynamic pricing DR program in California. In this program, facilities are

487

Tips: Time-Based Electricity Rates | Department of Energy  

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

Tips: Time-Based Electricity Rates Tips: Time-Based Electricity Rates Tips: Time-Based Electricity Rates July 2, 2012 - 8:09pm Addthis Time-based electricity programs encourage you to use energy when the demand is low by giving you a lower price for electricity during those times. Time-based electricity programs encourage you to use energy when the demand is low by giving you a lower price for electricity during those times. What are the key facts? Time-based electricity programs encourage you to use energy when the demand is low by giving you a lower price for electricity during those times. Distributing the electricity demand more evenly ensures that a steady and reliable stream of electricity is available for everyone. To help reduce their peak power demands and save money, many utilities are

488

Tips: Time-Based Electricity Rates | Department of Energy  

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

Tips: Time-Based Electricity Rates Tips: Time-Based Electricity Rates Tips: Time-Based Electricity Rates July 2, 2012 - 8:09pm Addthis Time-based electricity programs encourage you to use energy when the demand is low by giving you a lower price for electricity during those times. Time-based electricity programs encourage you to use energy when the demand is low by giving you a lower price for electricity during those times. What are the key facts? Time-based electricity programs encourage you to use energy when the demand is low by giving you a lower price for electricity during those times. Distributing the electricity demand more evenly ensures that a steady and reliable stream of electricity is available for everyone. To help reduce their peak power demands and save money, many utilities are

489

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

490

Installation and Commissioning Automated Demand Response Systems  

E-Print Network [OSTI]

their partnership in demand response automation research andand Techniques for Demand Response. LBNL Report 59975. Mayof Fully Automated Demand Response in Large Facilities.

Kiliccote, Sila; Global Energy Partners; Pacific Gas and Electric Company

2008-01-01T23:59:59.000Z

491

Barrier Immune Radio Communications for Demand Response  

E-Print Network [OSTI]

of Fully Automated Demand Response in Large Facilities,Fully Automated Demand Response Tests in Large Facilities.for Automated Demand Response. Technical Document to

Rubinstein, Francis

2010-01-01T23:59:59.000Z

492

Retail Demand Response in Southwest Power Pool  

E-Print Network [OSTI]

23 ii Retail Demand Response in SPP List of Figures and10 Figure 3. Demand Response Resources by11 Figure 4. Existing Demand Response Resources by Type of

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

493

Home Network Technologies and Automating Demand Response  

E-Print Network [OSTI]

and Automating Demand Response Charles McParland, Lawrenceand Automating Demand Response Charles McParland, LBNLCommercial and Residential Demand Response Overview of the

McParland, Charles

2010-01-01T23:59:59.000Z

494

Wireless Demand Response Controls for HVAC Systems  

E-Print Network [OSTI]

Strategies Linking Demand Response and Energy Efficiency,Fully Automated Demand Response Tests in Large Facilities,technical support from the Demand Response Research Center (

Federspiel, Clifford

2010-01-01T23:59:59.000Z

495

Strategies for Demand Response in Commercial Buildings  

E-Print Network [OSTI]

Fully Automated Demand Response Tests in Large Facilitiesof Fully Automated Demand Response in Large Facilities,was coordinated by the Demand Response Research Center and

Watson, David S.; Kiliccote, Sila; Motegi, Naoya; Piette, Mary Ann

2006-01-01T23:59:59.000Z

496

Demand Responsive Lighting: A Scoping Study  

E-Print Network [OSTI]

3 2.1 Demand-Side Managementbuildings. The demand side management framework is discussedIssues 2.1 Demand-Side Management Framework Forecasting

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

497

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

of Energy demand-side management energy information systemdemand response. Demand-side management (DSM) program goalsa goal for demand-side management (DSM) coordination and

Goldman, Charles

2010-01-01T23:59:59.000Z

498

China's Coal: Demand, Constraints, and Externalities  

E-Print Network [OSTI]

raising transportation oil demand. Growing internationalcoal by wire could reduce oil demand by stemming coal roadEastern oil production. The rapid growth of coal demand

Aden, Nathaniel

2010-01-01T23:59:59.000Z

499

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network [OSTI]

World: Renewable Energy and Demand Response Proliferation intogether the renewable energy and demand response communityimpacts of renewable energy and demand response integration

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

500

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

District Small Business Summer Solutions: Energy and DemandSummer Solutions: Energy and Demand Impacts Monthly Energy> B-2 Coordination of Energy Efficiency and Demand Response

Goldman, Charles

2010-01-01T23:59:59.000Z