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Note: This page contains sample records for the topic "demand response energy" 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

Addressing Energy Demand through Demand Response: International...  

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

Addressing Energy Demand through Demand Response: International Experiences and Practices Title Addressing Energy Demand through Demand Response: International Experiences and...

2

Addressing Energy Demand through Demand Response: International...  

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

Energy Demand through Demand Response: International Experiences and Practices Title Addressing Energy Demand through Demand Response: International Experiences and Practices...

3

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network (OSTI)

of integrating demand response and energy efficiencyand D. Kathan (2009), Demand Response in U.S. ElectricityFRAMEWORKS THAT PROMOTE DEMAND RESPONSE 3.1. Demand Response

Shen, Bo

2013-01-01T23:59:59.000Z

4

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

energy efficiency and demand response programs and tariffs.energy efficiency and demand response program and tariffenergy efficiency and demand response programs and tariffs.

Goldman, Charles

2010-01-01T23:59:59.000Z

5

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

6

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

California Long-term Energy Efficiency Strategic Plan. B-2 Coordination of Energy Efficiency and Demand Response> B-4 Coordination of Energy Efficiency and Demand Response

Goldman, Charles

2010-01-01T23:59:59.000Z

7

Demand Response | Department of Energy  

NLE Websites -- All DOE Office Websites (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

8

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

and Demand Response Duke Energy is using the name “Save-a-Energy Efficiency Division. Duke Energy describes all of itsPresident, and C.E.O. Duke Energy Kateri Callahan President

Goldman, Charles

2010-01-01T23:59:59.000Z

9

Coordination of Energy Efficiency and Demand Response  

Science Conference Proceedings (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

10

Coordination of Energy Efficiency and Demand Response  

NLE Websites -- All DOE Office Websites (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.

11

Renewable Energy, Demand Response, Energy Efficiency, and Advanced...  

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

Renewable Energy, Demand Response, Energy Efficiency, and Advanced Energy Storage Infrastructure in UC San Diego's Microgrid Speaker(s): Byron Washom Date: August 14, 2008 -...

12

Opportunities for Energy Efficiency and Demand Response in the...  

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

Opportunities for Energy Efficiency and Demand Response in the California Cement Industry Title Opportunities for Energy Efficiency and Demand Response in the California Cement...

13

Response to several FOIA requests - Renewable Energy. Demand...  

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

Demand for Fossil Fuels Response to several FOIA requests - Renewable Energy. Demand for Fossil Fuels Response to several FOIA requests - Renewable Energy. nepdg251500.pdf....

14

Demand Response - Policy | Department of Energy  

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

over the last 11 years when interest in demand response increased. Demand response is an electricity tariff or program established to motivate changes in electric use by end-use...

15

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network (OSTI)

2007 EMCS EPACT ERCOT FCM FERC FRCC demand side managementEnergy Regulatory Commission (FERC). EPAct began the processin wholesale markets, which FERC Order 888 furthered by

Shen, Bo

2013-01-01T23:59:59.000Z

16

Comparison of Demand Response Performance with an EnergyPlus...  

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

of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building Title Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy...

17

Optimal Demand Response with Energy Storage Management  

E-Print Network (OSTI)

In this paper, we consider the problem of optimal demand response and energy storage management for a power consuming entity. The entity's objective is to find an optimal control policy for deciding how much load to consume, how much power to purchase from/sell to the power grid, and how to use the finite capacity energy storage device and renewable energy, to minimize his average cost, being the disutility due to load- shedding and cost for purchasing power. Due to the coupling effect of the finite size energy storage, such problems are challenging and are typically tackled using dynamic programming, which is often complex in computation and requires substantial statistical information of the system dynamics. We instead develop a low-complexity algorithm called Demand Response with Energy Storage Management (DR-ESM). DR-ESM does not require any statistical knowledge of the system dynamics, including the renewable energy and the power prices. It only requires the entity to solve a small convex optimization pr...

Huang, Longbo; Ramchandran, Kannan

2012-01-01T23:59:59.000Z

18

Coordination of Energy Efficiency and Demand Response  

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

044E 044E ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY Coordination of Energy Efficiency and Demand Response Charles Goldman, Michael Reid, Roger Levy and Alison Silverstein Environmental Energy Technologies Division January 2010 The work described in this report was funded by the Department of Energy Office of Electricity Delivery and Energy Reliability, Permitting, Siting and Analysis of the U.S. Department of Energy under Contract No. DE-AC02- 05CH11231. Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes

19

Examining Synergies between Energy Management and Demand Response: A Case Study at Two California Industrial Facilities  

E-Print Network (OSTI)

and Demand Response History Energy Management Activities o #and Demand Response History Energy Management Activities

Olsen, Daniel

2013-01-01T23:59:59.000Z

20

Coordination of Energy Efficiency and Demand Response: A Resource...  

Open Energy Info (EERE)

Coordination of Energy Efficiency and Demand Response: A Resource of the National Action Plan for Energy Efficiency Jump to: navigation, search Tool Summary LAUNCH TOOL Name:...

Note: This page contains sample records for the topic "demand response energy" 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

Examining Synergies between Energy Management and Demand Response...  

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

Examining Synergies between Energy Management and Demand Response: A Case Study at Two California Industrial Facilities Title Examining Synergies between Energy Management and...

22

Energy Efficiency/Demand Response/Smart Grid/Distribution ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration Independent Statistics & Analysis www.eia.gov Energy Efficiency/Demand Response/Smart Grid/Distribution ...

23

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network (OSTI)

time. 4 Reducing this peak demand through DR programs meansthat a 5% reduction in peak demand would have resulted insame 5% reduction in the peak demand of the US as a whole.

Shen, Bo

2013-01-01T23:59:59.000Z

24

Building Energy Software Tools Directory: Demand Response Quick Assessment  

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

Demand Response Quick Assessment Tool Demand Response Quick Assessment Tool Demand response quick assessment tool image The opportunities for demand reduction and cost savings with building demand responsive controls vary tremendously with building type and location. This assessment tool will predict the energy and demand savings, the economic savings, and the thermal comfort impact for various demand responsive strategies. Users of the tool will be asked to enter the basic building information such as types, square footage, building envelope, orientation, utility schedule, etc. The assessment tool will then use the prototypical simulation models to calculate the energy and demand reduction potential under certain demand responsive strategies, such as precooling, zonal temperature set up, and chilled water loop and air loop set points

25

Building Energy Software Tools Directory : Demand Response Quick...  

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

Demand Response Quick Assessment Tool Back to Tool Demand response quick assessment tool screenshot Demand response quick assessment tool screenshot Demand response quick...

26

Demand Response  

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

Peak load diagram Demand Response Demand Response (DR) is a set of time-dependent activities that reduce or shift electricity use to improve electric grid reliability, manage...

27

Demand Response  

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

Peak load diagram Demand Response Demand response (DR) is a set of time-dependent activities that reduce or shift electricity use to improve electric grid reliability, manage...

28

Demand Response and Smart Metering Policy Actions Since the Energy...  

Open Energy Info (EERE)

Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Officials Jump to: navigation, search Tool Summary LAUNCH TOOL Name:...

29

EnergySolve Demand Response | Open Energy Information  

Open Energy Info (EERE)

EnergySolve Demand Response EnergySolve Demand Response Jump to: navigation, search Name EnergySolve Demand Response Place Somerset, New Jersey Product Somerset-based utility bill outsourcing company that provides electronic utility bill auditing, tariff analysis, late fee avoidance, and flexible bill payment solutions. Coordinates 45.12402°, -92.675379° 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":45.12402,"lon":-92.675379,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

30

Demand Response Energy Consulting LLC | Open Energy Information  

Open Energy Info (EERE)

Response Energy Consulting LLC Response Energy Consulting LLC Jump to: navigation, search Name Demand Response & Energy Consulting LLC Place Delanson, New York Zip NY 12053 Sector Efficiency Product Delanson-based demand response and energy efficiency consultants. Coordinates 42.748995°, -74.185794° 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":42.748995,"lon":-74.185794,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

31

Assessment of Residential Energy Management Systems for Demand Response Applications  

Science Conference Proceedings (OSTI)

This Technical Update provides a description of what a residential energy management system comprises, with a focus on demand response applications. It includes findings from a survey of residential energy management system technology vendors; system pricing and availability; an overview of technology components and features; customer load monitoring and control capabilities; utility demand response control functions; communications protocols and technologies supported; and options for demand response si...

2009-12-22T23:59:59.000Z

32

Demand Responsive and Energy Efficient Control Technologies and Strategies in Commercial Buildings  

E-Print Network (OSTI)

Energy. “Benefits of Demand Response in Electricity MarketsEnergy Efficiency and Demand Response?7 3.1.Demand Response in Commercial

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

33

A Successful Case Study of Small Business Energy Efficiency and Demand Response with Communicating Thermostats  

E-Print Network (OSTI)

to everyone at the Demand Response Research Center, theEnergy Efficiency and Demand Response with CommunicatingEnergy Efficiency and Demand Response with Communicating

Herter, Karen

2010-01-01T23:59:59.000Z

34

Opportunities for Energy Efficiency and Demand Response in the California Cement Industry  

E-Print Network (OSTI)

Energy  Efficiency and Demand Response in the California 1   4.0   Energy Efficiency and Demand Response 5   4.2.   Demand Response 

Olsen, Daniel

2012-01-01T23:59:59.000Z

35

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network (OSTI)

Energy Resources and Demand Response under Uncertainty AfzalEnergy Resources and Demand Response under Uncertainty ?DER in conjunction with demand response (DR): the expected

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

36

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

percent of 2008 summer peak demand (FERC, 2008). Moreover,138,000 MW (14 percent of peak demand) by 2019 (FERC, 2009).non-coincident summer peak demand by 157 GW” by 2030, or 14–

Goldman, Charles

2010-01-01T23:59:59.000Z

37

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network (OSTI)

to Building Energy Management Systems (BEMS) to begin pre-a facility using Energy Management Control Systems (EMCS) orAct of 2007 energy management control systems The Energy

Shen, Bo

2013-01-01T23:59:59.000Z

38

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network (OSTI)

services provided to the energy markets, Order 745 advancesin the wholesale energy market (both day-ahead and real-the capacity market is. The energy market does not feature

Shen, Bo

2013-01-01T23:59:59.000Z

39

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network (OSTI)

is determined by the market energy price offered by themay be paid the spot market energy price. (e.g. PJM SRM, UKor the wholesale market price for energy. By codifying the

Shen, Bo

2013-01-01T23:59:59.000Z

40

Demand Response and Smart Metering Policy Actions Since the Energy...  

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

Policy Actions Since the Energy Policy Act of 2005: A Summary for State Officials Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A...

Note: This page contains sample records for the topic "demand response energy" 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

Response to several FOIA requests - Renewable Energy. Demand for Fossil  

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

Response to several FOIA requests - Renewable Energy. Demand for Response to several FOIA requests - Renewable Energy. Demand for Fossil Fuels Response to several FOIA requests - Renewable Energy. Demand for Fossil Fuels Response to several FOIA requests - Renewable Energy. nepdg_251_500.pdf. Demand for Fossil Fuels. Renewable sources of power. Demand for fossil fuels surely will overrun supply sooner or later, as indeed it already has in the casc of United States domestic oil drilling. Recognition also is growing that our air and land can no longer absorb unlimited quantities of waste from fossil fuel extraction and combustion. As that day draws nearer, policymakers will have no realistic alternative but to turn to sources of power that today make up a viable but small part of America's energy picture. And they will be

42

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network (OSTI)

A. Barat, D. Watson. Demand Response Spinning ReserveOpen Automated Demand Response Communication Standards:Dynamic Controls for Demand Response in a New Commercial

Piette, Mary Ann

2009-01-01T23:59:59.000Z

43

Estimating Demand Response Market Potential | Open Energy Information  

Open Energy Info (EERE)

Estimating Demand Response Market Potential Estimating Demand Response Market Potential Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Estimating Demand Response Market Potential Focus Area: Energy Efficiency, - Utility Topics: Socio-Economic Website: www.ieadsm.org/Files/Tasks/Task%20XIII%20-%20Demand%20Response%20Resou Equivalent URI: cleanenergysolutions.org/content/estimating-demand-response-market-pot Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation Regulations: Resource Integration Planning This resource presents demand response (DR) potential results from top-performing programs in the United States and Canada, as well as a DR

44

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

both types of programs. Xcel Energy markets both energyEnergy Efficiency Marketing Xcel Energy Paul Suskie Chairman

Goldman, Charles

2010-01-01T23:59:59.000Z

45

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network (OSTI)

NE market through the Real-Time Price Response and Day-Aheadin the prices they pay and include real-time pricing,on a day-ahead or real-time basis. Prices are higher during

Shen, Bo

2013-01-01T23:59:59.000Z

46

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California  

E-Print Network (OSTI)

your Power. (2008). "Demand Response Programs." RetrievedS. (2008). Automated Demand Response Results from Multi-Yearusing Open Automated Demand Response, California Energy

Lekov, Alex

2009-01-01T23:59:59.000Z

47

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

Regulatory Commission [FERC] (2008). Assessment of DemandRegulatory Commission [FERC] (2009). A National AssessmentEIS EMCS EMS EPA ESCO ESPC FERC GE HVAC ISO ISO-NE kW kWh MW

Goldman, Charles

2010-01-01T23:59:59.000Z

48

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

same or better levels of energy services. ” This definitionSenior Vice President, Energy Services and Technology NewNational Association of Energy Service Companies Chuck Gray

Goldman, Charles

2010-01-01T23:59:59.000Z

49

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

to managing their energy usage. Greater customer willingnessto managing their energy usage. And greater customera net reduction in energy usage. 5 With sufficient advance

Goldman, Charles

2010-01-01T23:59:59.000Z

50

Regulation Services with Demand Response - Energy Innovation ...  

Biomass and Biofuels; Building Energy Efficiency; Electricity Transmission; Energy Analysis; Energy Storage; Geothermal; Hydrogen and Fuel Cell; ... (i.e. target ...

51

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

achieving all cost-effective energy efficiency by 2025. Thisinvestment in cost-effective energy efficiency. Coordinationto achieve all cost-effective energy efficiency by 2025. 1

Goldman, Charles

2010-01-01T23:59:59.000Z

52

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

control system energy management system U.S. Environmentalbuilding energy management systems (EMS) can deliversystem; EMS = energy management system; ISO = independent

Goldman, Charles

2010-01-01T23:59:59.000Z

53

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

Programs Integrated Energy Audit Provide engineeringtechnicians performed energy audits and provided advice to8 PG&E’s Integrated Energy Audit, a program for businesses

Goldman, Charles

2010-01-01T23:59:59.000Z

54

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

what if wholesale market energy prices remain low or if CPPwith high prices in the real-time energy market. Nationalmarket prices and reliability circumstances, even though energy

Goldman, Charles

2010-01-01T23:59:59.000Z

55

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

Director, Energy and Environmental Policy American ForestEnergy Efficiency Partnerships Roger Cooper Executive Vice President, Policy and Planning American

Goldman, Charles

2010-01-01T23:59:59.000Z

56

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

State Energy Research & Development Authority offers incentivesState Energy Research and Development Authority (NYSERDA) Existing Facilities Program offers incentives

Goldman, Charles

2010-01-01T23:59:59.000Z

57

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

new technology and systems integration tools. Energy controland systems that support integration and coordination of energyand systems integration represent key building blocks for enabling greater coordination of energy

Goldman, Charles

2010-01-01T23:59:59.000Z

58

Opportunities for Energy Efficiency and Demand Response in the California Cement Industry  

E-Print Network (OSTI)

Opportunities for Energy  Efficiency and Demand Response in Agricultural/Water End?Use Energy Efficiency Program.    i 1   4.0   Energy Efficiency and Demand Response 

Olsen, Daniel

2012-01-01T23:59:59.000Z

59

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

event by paying higher real-time prices and still receivingvarying prices (e.g. , real-time prices, CPP) facilitatecorrelated with high prices in the real-time energy market.

Goldman, Charles

2010-01-01T23:59:59.000Z

60

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by its trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or The Regents of the University of California. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof, or

Ernest Orlando Lawrence; Charles Goldman; Michael Reid; Roger Levy

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

Opportunities for Energy Efficiency and Demand Response in the California  

NLE Websites -- All DOE Office Websites (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.

62

Linking Continuous Energy Management and Open Automated Demand Response  

Science Conference Proceedings (OSTI)

Advances in communications and control technology, the strengthening of the Internet, and the growing appreciation of the urgency to reduce demand side energy use are motivating the development of improvements in both energy efficiency and demand response (DR) systems. This paper provides a framework linking continuous energy management and continuous communications for automated demand response (Auto-DR) in various times scales. We provide a set of concepts for monitoring and controls linked to standards and procedures such as Open Automation Demand Response Communication Standards (Open Auto-DR or OpenADR). Basic building energy science and control issues in this approach begin with key building components, systems, end-uses and whole building energy performance metrics. The paper presents a framework about when energy is used, levels of services by energy using systems, granularity of control, and speed of telemetry. DR, when defined as a discrete event, requires a different set of building service levels than daily operations. We provide examples of lessons from DR case studies and links to energy efficiency.

Piette, Mary Ann; Kiliccote, Sila; Ghatikar, Girish

2008-10-03T23:59:59.000Z

63

Load Reduction, Demand Response and Energy Efficient Technologies and Strategies  

SciTech Connect

The Department of Energy’s (DOE’s) Pacific Northwest National Laboratory (PNNL) was tasked by the DOE Office of Electricity (OE) to recommend load reduction and grid integration strategies, and identify additional demand response (energy efficiency/conservation opportunities) and strategies at the Forest City Housing (FCH) redevelopment at Pearl Harbor and the Marine Corps Base Hawaii (MCBH) at Kaneohe Bay. The goal was to provide FCH staff a path forward to manage their electricity load and thus reduce costs at these FCH family housing developments. The initial focus of the work was at the MCBH given the MCBH has a demand-ratchet tariff, relatively high demand (~18 MW) and a commensurate high blended electricity rate (26 cents/kWh). The peak demand for MCBH occurs in July-August. And, on average, family housing at MCBH contributes ~36% to the MCBH total energy consumption. Thus, a significant load reduction in family housing can have a considerable impact on the overall site load. Based on a site visit to the MCBH and meetings with MCBH installation, FCH, and Hawaiian Electric Company (HECO) staff, recommended actions (including a "smart grid" recommendation) that can be undertaken by FCH to manage and reduce peak-demand in family housing are made. Recommendations are also made to reduce overall energy consumption, and thus reduce demand in FCH family housing.

Boyd, Paul A.; Parker, Graham B.; Hatley, Darrel D.

2008-11-19T23:59:59.000Z

64

Advanced Demand Responsive Lighting  

NLE Websites -- All DOE Office Websites (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

65

Energy Efficiency Funds and Demand Response Programs - National Overview  

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

Funds and Demand Funds and Demand Response Programs - National Overview Charles Goldman Lawrence Berkeley National Laboratory November 2, 2006 Federal Utility Partnership Working Group San Francisco CA Overview of Talk * National Overview * Energy Efficiency Programs and Funds * Demand Response Programs and Funds * FEMP Resources on Public Benefit Funds *Suggestions for Federal Customers DSM Spending is increasing! * 2006 Utility DSM and Public Benefit spending is ~$2.5B$ - $1B for C&I EE programs * CA utilities account for 35% of total spending 0.0 0.5 1.0 1.5 2.0 2.5 3.0 1994 2000 2005 2006 Costs (in billion $) DSM Costs Load Management Gas EE Other States Electric EE California Electric EE EE Spending in 2006 (by State) $ Million < 1 (23) 1 - 10 (2) 11 - 50 (13) 51 - 100 (7) > 100 (5) 790 101 257

66

Addressing Energy Demand  

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

Addressing Energy Demand through Demand Response: International Experiences and Practices Bo Shen, Girish Ghatikar, Chun Chun Ni, and Junqiao Dudley Environmental Energy...

67

Demand Response - Policy: More Information | Department of Energy  

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

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

68

Demand Response  

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

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

69

Mass Market Demand Response  

NLE Websites -- All DOE Office Websites (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,

70

Dynamic Controls for Energy Efficiency and Demand Response: Framework Concepts and a New Construction Study Case in New York  

E-Print Network (OSTI)

of Fully Automated Demand Response in Large Facilities.for Energy Efficiency and Demand Response”, Proceedings ofAuthority (NYSERDA), the Demand Response Research Center (

Kiliccote, Sila; Piette, Mary Ann; Watson, David S.; Hughes, Glenn

2006-01-01T23:59:59.000Z

71

demand response - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

EIA Survey Forms › Facebook Twitter ... demand response June 14, 2012 California's electric power market faces challenges heading into summer. March 24, ...

72

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network (OSTI)

and Demand Response under Uncertainty • F P t : wholesale natural gasdemand response and DER under uncertain electricity and natural gasand Demand Response under Uncertainty Energy Price Models We assume that the logarithms of the deseasonalized electricity and natural gas

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

73

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network (OSTI)

Solution Procedure for SDP Energy Prices We use electricityLondon for assistance with energy price modeling. Siddiquiof DER under uncertain energy prices with demand response

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

74

Retail Demand Response in Southwest Power Pool | Department of Energy  

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

Demand Response in Southwest Power Pool Demand Response in Southwest Power Pool Retail Demand Response in Southwest Power Pool In 2007, the Southwest Power Pool (SPP) formed the Customer Response Task Force (CRTF) to identify barriers to deploying demand response (DR) resources in wholesale markets and develop policies to overcome these barriers. One of the initiatives of this Task Force was to develop more detailed information on existing retail DR programs and dynamic pricing tariffs, program rules, and utility operating practices. This report describes the results of a comprehensive survey conducted by LBNL in support of the Customer Response Task Force and discusses policy implications for integrating legacy retail DR programs and dynamic pricing tariffs into wholesale markets in the SPP region.

75

Comfort-aware home energy management under market-based demand-response  

Science Conference Proceedings (OSTI)

To regulate energy consumption and enable Demand-Response programs, effective demand-side management at home is key and an integral part of the future Smart Grid. In essence, the home energy management is a mix between discrete appliance scheduling problem ... Keywords: demand-response, energy management, smart grid

Jin Xiao, Jian Li, Raouf Boutaba, James Won-Ki Hong

2012-10-01T23:59:59.000Z

76

Demand Response In California  

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

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

77

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

78

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

and achieve demand response. For example, on a hot August after- noon during the energy crisis, high demand-in trans- former used for everything from cell phones to computers could be up to 50 percent more efficient

79

Integrating Energy Efficiency and Demand Response into Utility Resource Plans  

Science Conference Proceedings (OSTI)

This report investigates the methods in which utilities integrate their supply-side and demand-side resources to meet their generating resource requirements. The major steps in developing a resource plan are reviewed, including the alternative methods currently employed. Finally, the report presents the results of a short survey that was administered to the advisors in Energy Utilization. The results show that methods are more sophisticated than 20 years ago, but more could be accomplished in ...

2013-01-14T23:59:59.000Z

80

Demand Response Spinning Reserve  

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

Demand Response Spinning Reserve Title Demand Response Spinning Reserve Publication Type Report Year of Publication 2007 Authors Eto, Joseph H., Janine Nelson-Hoffman, Carlos...

Note: This page contains sample records for the topic "demand response energy" 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

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network (OSTI)

minimization Monthly peak demand management Daily time-of-Some tariff designs have peak demand charges that apply tothat may result in a peak demand that occurs in one month to

Piette, Mary Ann

2009-01-01T23:59:59.000Z

82

Electric grid planners: demand response and energy efficiency to ...  

U.S. Energy Information Administration (EIA)

Source: Form EIA-411, Coordinated Bulk Power Demand and Supply Report Note: All data are reported for time of summer peak, rather than overall demand.

83

Poster abstract: wireless sensor network characterization - application to demand response energy pricing  

Science Conference Proceedings (OSTI)

This poster presents latency and reliability characterization of wireless sensor network as applied to an advanced building control system for demand response energy pricing. A test network provided the infrastructure to extract round trip time and packet ... Keywords: advanced building control, demand response energy pricing

Nathan Ota; Dan Hooks; Paul Wright; David Auslander; Therese Peffer

2003-11-01T23:59:59.000Z

84

California Independent System Operator demand response & proxy demand resources  

Science Conference Proceedings (OSTI)

Demand response programs are designed to allow end use customers to contribute to energy load reduction individually or through a demand response provider. One form of demand response can occur when an end use customer reduces their electrical usage ...

John Goodin

2012-01-01T23:59:59.000Z

85

Automated Demand Response Today  

Science Conference Proceedings (OSTI)

Demand response (DR) has progressed over recent years beyond manual and semi-automated DR to include growing implementation and experience with fully automated demand response (AutoDR). AutoDR has been shown to be of great value over manual and semi-automated DR because it reduces the need for human interactions and decisions, and it increases the speed and reliability of the response. AutoDR, in turn, has evolved into the specification known as OpenADR v1.0 (California Energy Commission, PIER Program, C...

2012-03-29T23:59:59.000Z

86

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

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

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."

87

Demand Response and Open Automated Demand Response Opportunities...  

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

Demand Response and Open Automated Demand Response Opportunities for Data Centers Title Demand Response and Open Automated Demand Response Opportunities for Data Centers...

88

Advanced Control Technologies and Strategies Linking Demand Response and Energy Efficiency  

E-Print Network (OSTI)

Fully Automated Demand Response Tests in Large Facilities”.also provided through the Demand Response Research Center (of Fully Automated Demand Response in Large Facilities”

Kiliccote, Sila; Piette, Mary Ann

2005-01-01T23:59:59.000Z

89

Advanced Controls and Communications for Demand Response and Energy Efficiency in Commercial Buildings  

E-Print Network (OSTI)

of Fully Automated Demand Response in Large Facilities”NYSERDA) and the Demand Response Research Center (LLC “Working Group 2 Demand Response Program Evaluation –

Kiliccote, Sila; Piette, Mary Ann; Hansen, David

2006-01-01T23:59:59.000Z

90

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California  

Science Conference Proceedings (OSTI)

This report summarizes the Lawrence Berkeley National Laboratory's research to date in characterizing energy efficiency and open automated demand response opportunities for industrial refrigerated warehouses in California. The report describes refrigerated warehouses characteristics, energy use and demand, and control systems. It also discusses energy efficiency and open automated demand response opportunities and provides analysis results from three demand response studies. In addition, several energy efficiency, load management, and demand response case studies are provided for refrigerated warehouses. This study shows that refrigerated warehouses can be excellent candidates for open automated demand response and that facilities which have implemented energy efficiency measures and have centralized control systems are well-suited to shift or shed electrical loads in response to financial incentives, utility bill savings, and/or opportunities to enhance reliability of service. Control technologies installed for energy efficiency and load management purposes can often be adapted for open automated demand response (OpenADR) at little additional cost. These improved controls may prepare facilities to be more receptive to OpenADR due to both increased confidence in the opportunities for controlling energy cost/use and access to the real-time data.

Lekov, Alex; Thompson, Lisa; McKane, Aimee; Rockoff, Alexandra; Piette, Mary Ann

2009-05-11T23:59:59.000Z

91

National Action Plan on Demand Response  

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

Action Plan on Demand National Action Plan on Demand Action Plan on Demand National Action Plan on Demand Response Response Federal Utilities Partnership Working Group Federal Utilities Partnership Working Group November 18, 2008 November 18, 2008 Daniel Gore Daniel Gore Office of Energy Market Regulation Office of Energy Market Regulation Federal Energy Regulatory Commission Federal Energy Regulatory Commission The author's views do not necessarily represent the views of the Federal Energy Regulatory Commission Presentation Contents Presentation Contents Statutory Requirements Statutory Requirements National Assessment [Study] of Demand Response National Assessment [Study] of Demand Response National Action Plan on Demand Response National Action Plan on Demand Response General Discussion on Demand Response and Energy Outlook

92

2012 End-Use Energy Efficiency and Demand Response, EPRI Program 170: Summary of Deliverables  

Science Conference Proceedings (OSTI)

The EPRI research program on End-Use Energy Efficiency and Demand Response (Program 170) is focused on the assessment, testing, and demonstration of energy-efficient and intelligent end-use devices, as well as analytical studies of the economic, environmental, and behavioral aspects of energy efficiency and demand response. The 2012 reports, tools and resources produced in this program are available to employees of funding companies, and can be accessed by clicking on the product number link listed after ..

2013-05-22T23:59:59.000Z

93

Assessment of Commercial Building Automation and Energy Management Systems for Demand Response Applications  

Science Conference Proceedings (OSTI)

This Technical Update is an overview of commercial building automation and energy management systems with a focus on their capabilities (current and future), especially in support of demand response (DR). The report includes background on commercial building automation and energy management systems; a discussion of demand response applications in commercial buildings, including building loads and control strategies; and a review of suppliers’ building automation and energy management systems to support d...

2009-12-14T23:59:59.000Z

94

Demand Response and Smart Metering Policy Actions Since the Energy Policy  

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

and Smart Metering Policy Actions Since the Energy and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Officials Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Officials This report represents a review of policy developments on demand response and other related areas such as smart meters and smart grid. It has been prepared by the Demand Response Coordinating Committ ee (DRCC) for the National Council on Electricity Policy (NCEP). The report focuses on State and Federal policy developments during the period from 2005 to mid-year 2008. It is an att empt to catalogue information on policy developments at both the federal and state level, both in the legislative and regulatory arenas. Demand Response and Smart Metering Policy Actions Since the Energy Policy

95

Saving Energy and Enabling Auto-Demand Response in Existing Buildings...  

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

Saving Energy and Enabling Auto-Demand Response in Existing Buildings and Plants Using Non-Invasive Retrofit Technologies Speaker(s): Harry Sim Date: April 7, 2011 - 12:00pm...

96

ZigBee Smart Energy Application Profile for Demand Response/Load...  

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

ZigBee Smart Energy Application Profile for Demand ResponseLoad Control and its implementation on a JAVA-based platform Speaker(s): John Lin Date: April 23, 2009 - 12:00pm...

97

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network (OSTI)

Previous papers have discussed definitions of energyThis paper provides a framework linking continuous energyThe paper presents a framework about when energy is used,

Piette, Mary Ann

2009-01-01T23:59:59.000Z

98

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network (OSTI)

optimized relative to the energy services begin delivered.energy is used, levels of services by energy using systems,energy efficiency and advances in controls and service level

Piette, Mary Ann

2009-01-01T23:59:59.000Z

99

Coordination of Energy Efficiency and Demand Response: A Resource of the  

Open Energy Info (EERE)

Coordination of Energy Efficiency and Demand Response: A Resource of the Coordination of Energy Efficiency and Demand Response: A Resource of the National Action Plan for Energy Efficiency Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Coordination of Energy Efficiency and Demand Response: A Resource of the National Action Plan for Energy Efficiency Focus Area: Energy Efficiency Topics: Policy, Deployment, & Program Impact Website: www.epa.gov/cleanenergy/documents/suca/ee_and_dr.pdf Equivalent URI: cleanenergysolutions.org/content/coordination-energy-efficiency-and-de Language: English Policies: "Regulations,Deployment Programs" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Retrofits Regulations: Energy Standards

100

Demand Response and Open Automated Demand Response Opportunities...  

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

Response and Open Automated Demand Response Opportunities for Data Centers Title Demand Response and Open Automated Demand Response Opportunities for Data Centers Publication Type...

Note: This page contains sample records for the topic "demand response energy" 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

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network (OSTI)

Optimal Control of Distributed Energy Resources and DemandRenewable Energy, former Distributed Energy Program of theOptimal Control of Distributed Energy Resources and Demand

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

102

Comfort-Aware Home Energy Management Under Market-Based Demand-Response  

E-Print Network (OSTI)

pricing and consumption data in South Korea. Index Terms--smart grid, demand-response, energy management I-based pricing. In peak capping, each home is allocated an energy quota. In market-based pricing, the price-term viable way of regulating energy consumptions. We work with day-ahead market pricing in this paper

Boutaba, Raouf

103

Demand Response Programs, 6. edition  

Science Conference Proceedings (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

104

Demand Responsive and Energy Efficient Control Technologies and Strategies in Commercial Buildings  

E-Print Network (OSTI)

Contribution to Peak Demand?..5 3.potential to reduce peak demand in commercial buildingsbuildings’ contribution to peak demand and the use of energy

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

105

Advanced Controls and Communications for Demand Response and Energy Efficiency in Commercial Buildings  

E-Print Network (OSTI)

for a large portion of summer peak demand. Research resultspotential to reduce peak demand in commercial buildingsbuilding’s contribution to peak demand and the use of energy

Kiliccote, Sila; Piette, Mary Ann; Hansen, David

2006-01-01T23:59:59.000Z

106

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

107

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

108

Retrofitting Existing Buildings for Demand Response & Energy Efficiency  

E-Print Network (OSTI)

heating or cooling load, and enables existing Building Management Systems to control fan speed) · Lighting ­ 20% (solution: Adura ALPS partnership) · Plug loads, data centers ­ remainder (solution: WTR partnership) · Plug loads, data centers ­ remainder (solution: WTR, WBM) Source: US Energy Information

California at Los Angeles, University of

109

Advanced Controls and Communications for Demand Response andEnergy Efficiency in Commercial Buildings  

SciTech Connect

Commercial buildings account for a large portion of summer peak demand. Research results show that there is significant potential to reduce peak demand in commercial buildings through advanced control technologies and strategies. However, a better understanding of commercial building's contribution to peak demand and the use of energy management and control systems is required to develop this demand response resource to its full potential. This paper discusses recent research results and new opportunities for advanced building control systems to provide demand response (DR) to improve electricity markets and reduce electric grid problems. The main focus of this paper is the role of new and existing control systems for HVAC and lighting in commercial buildings. A demand-side management framework from building operations perspective with three main features: daily energy efficiency, daily peak load management and event driven, dynamic demand response is presented. A general description of DR, its benefits, and nationwide potential in commercial buildings is outlined. Case studies involving energy management and control systems and DR savings opportunities are presented. The paper also describes results from three years of research in California to automate DR in buildings. Case study results and research on advanced buildings systems in New York are also presented.

Kiliccote, Sila; Piette, Mary Ann; Hansen, David

2006-01-17T23:59:59.000Z

110

Advanced Controls and Communications for Demand Response andEnergy Efficiency in Commercial Buildings  

SciTech Connect

Commercial buildings account for a large portion of summer peak demand. Research results show that there is significant potential to reduce peak demand in commercial buildings through advanced control technologies and strategies. However, a better understanding of commercial building's contribution to peak demand and the use of energy management and control systems is required to develop this demand response resource to its full potential. This paper discusses recent research results and new opportunities for advanced building control systems to provide demand response (DR) to improve electricity markets and reduce electric grid problems. The main focus of this paper is the role of new and existing control systems for HVAC and lighting in commercial buildings. A demand-side management framework from building operations perspective with three main features: daily energy efficiency, daily peak load management and event driven, dynamic demand response is presented. A general description of DR, its benefits, and nationwide potential in commercial buildings is outlined. Case studies involving energy management and control systems and DR savings opportunities are presented. The paper also describes results from three years of research in California to automate DR in buildings. Case study results and research on advanced buildings systems in New York are also presented.

Kiliccote, Sila; Piette, Mary Ann; Hansen, David

2006-01-17T23:59:59.000Z

111

Demand Response and Smart Metering Policy Actions Since the Energy Policy  

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 Page Edit with form History Facebook icon Twitter icon » Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Officials Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Officials Focus Area: Energy Efficiency, - Utility Topics: Socio-Economic Website: www.demandresponsesmartgrid.org/Resources/Documents/Final_NCEP_Report_ Equivalent URI: cleanenergysolutions.org/content/demand-response-and-smart-metering-po Language: English Policies: Regulations

112

Modeling, Estimation, and Control in Energy Systems: Batteries & Demand Response  

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

Modeling, Modeling, Estimation, and Control in Energy Systems: Batteries & Demand Response Scott Moura Assistant Professor Civl & Environmental Engineering University of California, Berkeley EETD | LBNL Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 1 Source: Vaclav Smil Estimates from Energy Transitions Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 2 Energy Initiatives Denmark 50% wind penetration by 2025 Brazil uses 86% renewables China's aggressive energy/carbon intensity reduction EV Everywhere SunShot Green Button Zero emissions vehicle (ZEV) 33% renewables by 2020 Go Solar California Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 3 Energy Systems of Interest Energy storage Smart Grids (e.g., batteries) (e.g., demand response) Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 4 Energy

113

Demand Responsive and Energy Efficient Control Technologies andStrategies in Commercial Buildings  

SciTech Connect

Commercial buildings account for a large portion of summer peak electric demand. Research results show that there is significant potential to reduce peak demand in commercial buildings through advanced control technologies and strategies. However, a better understanding of commercial buildings contribution to peak demand and the use of energy management and control systems is required to develop this demand response resource to its full potential. The main objectives of the study were: (1) To evaluate the size of contributions of peak demand commercial buildings in the U.S.; (2) To understand how commercial building control systems support energy efficiency and DR; and (3) To disseminate the results to the building owners, facility managers and building controls industry. In order to estimate the commercial buildings contribution to peak demand, two sources of data are used: (1) Commercial Building Energy Consumption Survey (CBECS) and (2) National Energy Modeling System (NEMS). These two sources indicate that commercial buildings noncoincidental peak demand is about 330GW. The project then focused on technologies and strategies that deliver energy efficiency and also target 5-10% of this peak. Based on a building operations perspective, a demand-side management framework with three main features: (1) daily energy efficiency, (2) daily peak load management and (3) dynamic, event-driven DR are outlined. A general description of DR, its benefits, and nationwide DR potential in commercial buildings are presented. Case studies involving these technologies and strategies are described. The findings of this project are shared with building owners, building controls industry, researchers and government entities through a webcast and their input is requested. Their input is presented in the appendix section of this report.

Piette, Mary Ann; Kiliccote, Sila

2006-09-01T23:59:59.000Z

114

Demand Response Database & Demo  

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

Demand Response Database & Demo Speaker(s): Mike Graveley William M. Smith Date: June 7, 2005 - 12:00pm Location: Bldg. 90 Seminar HostPoint of Contact: Mary Ann Piette Infotility...

115

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network (OSTI)

than relying on central-station electricity generation and purchase of natural gas for heating and DER under uncertain electricity and natural gas prices · Section 5 summarizes the findings Control of Distributed Energy Resources and Demand Response under Uncertainty 3 · FPt: wholesale natural

116

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

117

Direct versus Facility Centric Load Control for Automated Demand Response  

E-Print Network (OSTI)

Interoperable Automated Demand Response Infrastructure.and Techniques for Demand Response. LBNL Report 59975. Mayand Communications for Demand Response and Energy Efficiency

Piette, Mary Ann

2010-01-01T23:59:59.000Z

118

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

reliability signals for demand response GTA HTTPS HVAC IT kWand Commissioning Automated Demand Response Systems. ”and Techniques for Demand Response. California Energy

Kiliccote, Sila

2010-01-01T23:59:59.000Z

119

Automated Demand Response Tests  

Science Conference Proceedings (OSTI)

This report includes assessments and test results of four end-use technologies, representing products in the residential, commercial, and industrial sectors, each configured to automatically receive real-time pricing information and critical peak pricing (CPP) demand response (DR) event notifications. Four different vendors were asked to follow the interface requirements set forth in the Open Automated Demand Response (OpenADR) standard that was introduced to the public in 2008 and currently used in two ...

2008-12-22T23:59:59.000Z

120

Automated Demand Response Tests  

Science Conference Proceedings (OSTI)

This report, which is an update to EPRI Report 1016082, includes assessments and test results of four end-use vendor technologies. These technologies represent products in the residential, commercial, and industrial sectors, each configured to automatically receive real-time pricing information and critical peak pricing (CPP) demand response (DR) event notifications. Four different vendors were asked to follow the interface requirements set forth in the Open Automated Demand Response (OpenADR) Communicat...

2009-03-30T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

Demand Response Valuation Frameworks Paper  

E-Print Network (OSTI)

xxxv Option Value of Electricity Demand Response, Osmanelasticity in aggregate electricity demand. With these newii) reduction in electricity demand during peak periods (

Heffner, Grayson

2010-01-01T23:59:59.000Z

122

Advanced Control Technologies and Strategies Linking Demand Response and Energy Efficiency  

E-Print Network (OSTI)

demand shifting are thermal energy storage systems, whichlockout, pre-cooling, thermal energy storage, cooling loadlockout • Pre-cooling • Thermal energy storage • Cooling

Kiliccote, Sila; Piette, Mary Ann

2005-01-01T23:59:59.000Z

123

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

124

Program Strategies and Results for California’s Energy Efficiency and Demand Response Markets  

E-Print Network (OSTI)

Global Energy Partners provides a review of California’s strategic approach to energy efficiency and demand response implementation, with a focus on the industrial sector. The official role of the state, through the California Energy Commission (CEC), is presented along with special efforts being made in support of industrial end users. The interrelationship between the CEC and the California Public Utility Commission (CPUC) with regard to advancing demand side programs is highlighted. The specific cost recovery mechanisms put in place by the CPUC is discussed, including California’s experience with revenue decoupling, public purpose funds, and avoided cost calculations. Next, the role as energy efficiency (EE) and demand response (DR) program implementer played by each of the state Investor Owned Utilities (IOUs) is outlined. Each utility is responsible for serving major end use market segments with target programs designed to provide unique value. Within the industrial sector, there is special attention paid to the needs of the various sub-markets such as oil refining, agriculture, food processing, water and wastewater, manufacturing, and others. A review is presented of how EE and DR measures are selected, how incentive values are determined, which customers are eligible for programs, and how programs are evaluated to gage effectiveness. Lastly, mechanisms used by the IOU’s to deliver industrial EE and DR incentive programs are discussed. This includes a review of “core” programs administered by the utilities as well as subcontracted programs administered by “third party” implementers and “local government partners”. Global Energy Partners will offer specific examples of program experience in the oil & gas, agriculture, and food processing sectors, and will also highlight program success within the emerging “automated” demand response market.

Ehrhard, R.; Hamilton, G.

2008-01-01T23:59:59.000Z

125

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

Science Conference Proceedings (OSTI)

The US Department of Energy has launched the Zero-Net-Energy (ZNE) Commercial Building Initiative (CBI) in order to develop commercial buildings that produce as much energy as they use. Its objective is to make these buildings marketable by 2025 such that they minimize their energy use through cutting-edge energy-efficient technologies and meet their remaining energy needs through on-site renewable energy generation. We examine how such buildings may be implemented within the context of a cost- or carbon-minimizing microgrid that is able to adopt and operate various technologies, such as photovoltaic (PV) on-site generation, heat exchangers, solar thermal collectors, absorption chillers, and passive / demand-response technologies. We use a mixed-integer linear program (MILP) that has a multi-criteria objective function: the minimization of a weighted average of the building's annual energy costs and carbon / CO2 emissions. The MILP's constraints ensure energy balance and capacity limits. In addition, constraining the building's energy consumed to equal its energy exports enables us to explore how energy sales and demand-response measures may enable compliance with the CBI. Using a nursing home in northern California and New York with existing tariff rates and technology data, we find that a ZNE building requires ample PV capacity installed to ensure electricity sales during the day. This is complemented by investment in energy-efficient combined heat and power equipment, while occasional demand response shaves energy consumption. A large amount of storage is also adopted, which may be impractical. Nevertheless, it shows the nature of the solutions and costs necessary to achieve ZNE. For comparison, we analyze a nursing home facility in New York to examine the effects of a flatter tariff structure and different load profiles. It has trouble reaching ZNE status and its load reductions as well as efficiency measures need to be more effective than those in the CA case. Finally, we illustrate that the multi-criteria frontier that considers costs and carbon emissions in the presence of demand response dominates the one without it.

Stadler , Michael; Siddiqui, Afzal; Marnay, Chris; ,, Hirohisa Aki; Lai, Judy

2009-05-26T23:59:59.000Z

126

Advanced Control Technologies and Strategies Linking Demand Response and Energy Efficiency  

E-Print Network (OSTI)

Electrical Peak Demands in Commercial Buildings” Center for Analysis and Dissemination of Demonstrated Energy Technologies (CADDET), IEA/OECD Analyses

Kiliccote, Sila; Piette, Mary Ann

2005-01-01T23:59:59.000Z

127

Assessment of Achievable Potential from Energy Efficiency and Demand Response Programs in the U.S. (2010 - 2030)  

Science Conference Proceedings (OSTI)

This report documents the results of an exhaustive study to assess the achievable potential for electricity energy savings and peak demand reduction from energy efficiency and demand response programs through 2030. This achievable potential represents an estimated range of savings attainable through programs that encourage adoption of energy-efficient technologies, taking into consideration technical, economic, and market constraints.

2009-01-14T23:59:59.000Z

128

A Successful Case Study of Small Business Energy Efficiency and Demand Response with Communicating Thermostats  

Science Conference Proceedings (OSTI)

This report documents a field study of 78 small commercial customers in the Sacramento Municipal Utility District service territory who volunteered for an integrated energy-efficiency/demand-response (EE-DR) program in the summer of 2008. The original objective for the pilot was to provide a better understanding of demand response issues in the small commercial sector. Early findings justified a focus on offering small businesses (1) help with the energy efficiency of their buildings in exchange for occasional load shed, and (2) a portfolio of options to meet the needs of a diverse customer sector. To meet these expressed needs, the research pilot provided on-site energy efficiency advice and offered participants several program options, including the choice of either a dynamic rate or monthly payment for air-conditioning setpoint control. Overall results show that pilot participants had energy savings of 20%, and the potential for an additional 14% to 20% load drop during a 100 F demand response event. In addition to the efficiency-related bill savings, participants on the dynamic rate saved an estimated 5% on their energy costs compared to the standard rate. About 80% of participants said that the program met or surpassed their expectations, and three-quarters said they would probably or definitely participate again without the $120 participation incentive. These results provide evidence that energy efficiency programs, dynamic rates and load control programs can be used concurrently and effectively in the small business sector, and that communicating thermostats are a reliable tool for providing air-conditioning load shed and enhancing the ability of customers on dynamic rates to respond to intermittent price events.

Herter, Karen; Wayland, Seth; Rasin, Josh

2009-08-12T23:59:59.000Z

129

Energy Efficiency and Demand Response: How do we make the most...  

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

benefitting the grid 3 Supply and Demand Tell the (short run) Basic Story Benefits of Demand Response in Electricity Markets - US DOE Feb 2006 4 0 5,000 10,000 15,000 20,000...

130

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network (OSTI)

your Power. (2008). "Demand Response Programs." RetrievedUsing Open Automated Demand Response, Lawrence Berkeley2008). "What is Demand Response?" Retrieved 10/10/2008, from

Lekov, Alex

2010-01-01T23:59:59.000Z

131

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

Science Conference Proceedings (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

132

Energy Demand: Limits on the Response to Higher Energy Prices in the End-Use Sectors (released in AEO2007)  

Reports and Publications (EIA)

Energy consumption in the end-use demand sectorsresidential, commercial, industrial, and transportationgenerally shows only limited change when energy prices increase. Several factors that limit the sensitivity of end-use energy demand to price signals are common across the end-use sectors. For example, because energy generally is consumed in long-lived capital equipment, short-run consumer responses to changes in energy prices are limited to reductions in the use of energy services or, in a few cases, fuel switching; and because energy services affect such critical lifestyle areas as personal comfort, medical services, and travel, end-use consumers often are willing to absorb price increases rather than cut back on energy use, especially when they are uncertain whether price increases will be long-lasting. Manufacturers, on the other hand, often are able to pass along higher energy costs, especially in cases where energy inputs are a relatively minor component of production costs. In economic terms, short-run energy demand typically is inelastic, and long-run energy demand is less inelastic or moderately elastic at best.

Information Center

2007-03-11T23:59:59.000Z

133

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network (OSTI)

N Zhou (2007), “Distributed Generation with Heat Recoveryin the form of distributed generation with combined heat andcapacity. Keywords: Distributed generation, demand response,

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

134

Dividends with Demand Response  

SciTech Connect

To assist facility managers in assessing whether and to what extent they should participate in demand response programs offered by ISOs, we introduce a systematic process by which a curtailment supply curve can be developed that integrates costs and other program provisions and features. This curtailment supply curve functions as bid curve, which allows the facility manager to incrementally offer load to the market under terms and conditions acceptable to the customer. We applied this load curtailment assessment process to a stylized example of an office building, using programs offered by NYISO to provide detail and realism.

Kintner-Meyer, Michael CW; Goldman, Charles; Sezgen, O.; Pratt, D.

2003-10-31T23:59:59.000Z

135

Opportunities for Energy Efficiency and Demand Response in the California Cement Industry  

Science Conference Proceedings (OSTI)

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.

Olsen, Daniel; Goli, Sasank; Faulkner, David; McKane, Aimee

2010-12-22T23:59:59.000Z

136

Demand Response and Risk Management  

Science Conference Proceedings (OSTI)

For several decades, power companies have deployed various types of demand response (DR), such as interruptible contracts, and there is substantial ongoing research and development on sophisticated mechanisms for triggering DR. In this white paper, EPRI discusses the increasing use of electricity DR in the power industry and how this will affect the practice of energy risk management. This paper outlines 1) characteristics of a common approach to energy risk management, 2) the variety of types of DR impl...

2008-12-18T23:59:59.000Z

137

Measurement and Verification for Demand Response  

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

Measurement and Verification for Measurement and Verification for Demand Response Prepared for the National Forum on the National Action Plan on Demand Response: Measurement and Verification Working Group AUTHORS: Miriam L. Goldberg & G. Kennedy Agnew-DNV KEMA Energy and Sustainability National Forum of the National Action Plan on Demand Response Measurement and Verification for Demand Response was developed to fulfill part of the Implementation Proposal for The National Action Plan on Demand Response, a report to Congress jointly issued by the U.S. Department of Energy (DOE) and the Federal Energy Regulatory Commission (FERC) in June 2011. Part of that implementation proposal called for a "National Forum" on demand response to be conducted by DOE and FERC. Given that demand response has matured, DOE and FERC decided that a "virtual" project

138

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

SciTech Connect

This report summarizes the Lawrence Berkeley National Laboratory?s research to date in characterizing energy efficiency and automated demand response opportunities for wastewater treatment facilities in California. The report describes the characteristics of wastewater treatment facilities, the nature of the wastewater stream, energy use and demand, as well as details of the wastewater treatment process. It also discusses control systems and energy efficiency and automated demand response opportunities. In addition, several energy efficiency and load management case studies are provided for wastewater treatment facilities.This study shows that wastewater treatment facilities can be excellent candidates for open automated demand response and that facilities which have implemented energy efficiency measures and have centralized control systems are well-suited to shift or shed electrical loads in response to financial incentives, utility bill savings, and/or opportunities to enhance reliability of service. Control technologies installed for energy efficiency and load management purposes can often be adapted for automated demand response at little additional cost. These improved controls may prepare facilities to be more receptive to open automated demand response due to both increased confidence in the opportunities for controlling energy cost/use and access to the real-time data.

Lekov, Alex; Thompson, Lisa; McKane, Aimee; Song, Katherine; Piette, Mary Ann

2009-04-01T23:59:59.000Z

139

Intelligent energy management: impact of demand response and plug-in electric vehicles in a smart grid environment  

Science Conference Proceedings (OSTI)

Modernization of the power grid to meet the growing demand requires significant amount of operational, technological, and infrastructural overhaul. The Department of Energy's "Grid 2030" strategic vision outlines the action plan to alleviate the concerns ... Keywords: controlled charging, demand response, plug in hybrid electric vehicles, smart grid

Seshadri Srinivasa Raghavan; Alireza Khaligh

2012-03-01T23:59:59.000Z

140

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

Science Conference Proceedings (OSTI)

We take the perspective of a microgrid that has installed distribution energy resources (DER) in the form of distributed generation with combined heat and power applications. Given uncertain electricity and fuel prices, the microgrid minimizes its expected annual energy bill for various capacity sizes. In almost all cases, there is an economic and environmental advantage to using DER in conjunction with demand response (DR): the expected annualized energy bill is reduced by 9percent while CO2 emissions decline by 25percent. Furthermore, the microgrid's risk is diminished as DER may be deployed depending on prevailing market conditions and local demand. In order to test a policy measure that would place a weight on CO2 emissions, we use a multi-criteria objective function that minimizes a weighted average of expected costs and emissions. We find that greater emphasis on CO2 emissions has a beneficial environmental impact only if DR is available and enough reserve generation capacity exists. Finally, greater uncertainty results in higher expected costs and risk exposure, the effects of which may be mitigated by selecting a larger capacity.

Siddiqui, Afzal; Stadler, Michael; Marnay, Chris; Lai, Judy

2010-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

Overview of Demand Response  

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

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

142

FERC Presendation: Demand Response as Power System Resources...  

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

FERC Presendation: Demand Response as Power System Resources, October 29, 2010 FERC Presendation: Demand Response as Power System Resources, October 29, 2010 Federal Energy...

143

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

2 2.0 Demand ResponseFully Automated Demand Response Tests in Large Facilities,was coordinated by the Demand Response Research Center and

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

144

Capitalize on Existing Assets with Demand Response  

E-Print Network (OSTI)

Industrial facilities universally struggle with escalating energy costs. EnerNOC will demonstrate how commercial, industrial, and institutional end-users can capitalize on their existing assets—at no cost and no risk. Demand response, the voluntary reduction of electric demand in response to grid instability, provides financial incentives to participating facilities that agree to conserve energy. With demand response, facilities also receive advance notice of potential blackouts and can proactively protect their equipment and machinery from sudden losses of power. A detailed case study, focusing on a sample industrial customer’s participation in demand response, will support the presentation.

Collins, J.

2008-01-01T23:59:59.000Z

145

Web-based energy information systems for energy management and demand response in commercial buildings  

E-Print Network (OSTI)

download EMCS download Sub-metering Real-time Connectivityof diagnostic testing, sub-metering, and performancecoincident demand at sub-metering S Compare to historical

Motegi, Naoya; Piette, Mary Ann; Kinney, Satkartar; Herter, Karen

2003-01-01T23:59:59.000Z

146

A Unit Commitment Model with Demand Response for the Integration of Renewable Energies  

E-Print Network (OSTI)

The output of renewable energy fluctuates significantly depending on weather conditions. We develop a unit commitment model to analyze requirements of the forecast output and its error for renewable energies. Our model obtains the time series for the operational state of thermal power plants that would maximize the profits of an electric power utility by taking into account both the forecast of output its error for renewable energies and the demand response of consumers. We consider a power system consisting of thermal power plants, photovoltaic systems (PV), and wind farms and analyze the effect of the forecast error on the operation cost and reserves. We confirm that the operation cost was increases with the forecast error. The effect of a sudden decrease in wind power is also analyzed. More thermal power plants need to be operated to generate power to absorb this sudden decrease in wind power. The increase in the number of operating thermal power plants within a short period does not affect the total opera...

Ikeda, Yuichi; Kataoka, Kazuto; Ogimoto, Kazuhiko

2011-01-01T23:59:59.000Z

147

Automated Demand Response and Commissioning  

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

and Commissioning Title Automated Demand Response and Commissioning Publication Type Conference Paper LBNL Report Number LBNL-57384 Year of Publication 2005 Authors Piette, Mary...

148

Energy Efficiency and Demand Response: How do we make the most out of using less energy?  

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

Vermont ♦ Maine ♦ New Mexico ♦ California ♦ Illinois ♦ Oregon ♦ Washington Making the Most of Responsive Electricity Customers Mid-America Regulatory Conference June 8, 2010 Richard Sedano About the Regulatory Assistance Project  RAP is a non-profit organization providing technical and educational assistance to government officials on energy and environmental issues. RAP Principals all have extensive utility regulatory experience. - Richard Sedano was commissioner of the Vermont Department of Public Service from 1991-2001 and is an engineer.  Funded by foundations and the US Department Of Energy. We have worked in nearly every state and many nations.  Also provides educational assistance to stakeholders, utilities, advocates. 2 Context

149

Social Welfare Implications of Demand Response Programs in Competitive...  

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

Buildings Simulation Tools Sustainable Federal Operations Windows and Daylighting Electricity Grid Demand Response Distributed Energy Electricity Reliability Energy Analysis...

150

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

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

Buildings Simulation Tools Sustainable Federal Operations Windows and Daylighting Electricity Grid Demand Response Distributed Energy Electricity Reliability Energy Analysis...

151

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

152

Strategies for Demand Response in Commercial Buildings  

E-Print Network (OSTI)

Fully Automated Demand Response Tests in Large Facilities”of 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

153

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

154

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

155

Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building  

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

4E 4E Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building J.H. Dudley, D. Black, M. Apte, M.A. Piette Lawrence Berkeley National Laboratory P. Berkeley University of California, Berkeley May 2010 Presented at the 2010 ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA, August 15-20, 2010, and published in the Proceedings DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information,

156

National Action Plan on Demand Response  

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

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

157

Utilization of Energy Efficiency and Demand Response as Resources for Transmission and Distribution Planning  

Science Conference Proceedings (OSTI)

EPRI began its Energy Efficiency Initiative in early 2007. Initiative research, which covers numerous topics associated with energy efficiency and demand management, is categorized into three areas: analytics, infrastructure, and devices. The project described in this report details the Initiative’s analytics element, which deals with methods and tools for analyzing aspects of the use of energy efficiency as supply resource, including measurement and verification, inclusion in generation planning, emissi...

2008-02-05T23:59:59.000Z

158

Web-based energy information systems for energy management and demand response in commercial buildings  

E-Print Network (OSTI)

market Energy providers Target users Program manager (energy provider), energy manager (customer) Commercialization Data Access Trendmarket Energy service providers, utilities Target users Energy manager, operator Commercialization Data Access Trend

Motegi, Naoya; Piette, Mary Ann; Kinney, Satkartar; Herter, Karen

2003-01-01T23:59:59.000Z

159

Demand Response for Ancillary Services  

Science Conference Proceedings (OSTI)

Many demand response resources are technically capable of providing ancillary services. In some cases, they can provide superior response to generators, as the curtailment of load is typically much faster than ramping thermal and hydropower plants. Analysis and quantification of demand response resources providing ancillary services is necessary to understand the resources economic value and impact on the power system. Methodologies used to study grid integration of variable generation can be adapted to the study of demand response. In the present work, we describe and illustrate a methodology to construct detailed temporal and spatial representations of the demand response resource and to examine how to incorporate those resources into power system models. In addition, the paper outlines ways to evaluate barriers to implementation. We demonstrate how the combination of these three analyses can be used to translate the technical potential for demand response providing ancillary services into a realizable potential.

Alkadi, Nasr E [ORNL; Starke, Michael R [ORNL

2013-01-01T23:59:59.000Z

160

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network (OSTI)

follows: • EDemand t : electricity demand during day t (incost of reducing electricity demand (in $/MWh e ) • HRDCost:maximum fraction of electricity demand to be met by demand

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

Web-based energy information systems for energy management and demand response in commercial buildings  

E-Print Network (OSTI)

2002). 2. Market Categorization Energy Information Systemsincreasing market for energy-related information services (Information Service area Allover US Service started Cost Target market Energy

Motegi, Naoya; Piette, Mary Ann; Kinney, Satkartar; Herter, Karen

2003-01-01T23:59:59.000Z

162

Web-based energy information systems for energy management and demand response in commercial buildings  

E-Print Network (OSTI)

and Renewable Energy, Building Technologies Program, of theand Renewable Energy, Building Technologies Program, of theprogram managers and building energy managers by allowing

Motegi, Naoya; Piette, Mary Ann; Kinney, Satkartar; Herter, Karen

2003-01-01T23:59:59.000Z

163

Web-based energy information systems for energy management and demand response in commercial buildings  

E-Print Network (OSTI)

also known as EMS (Energy Management Systems), BMS (Buildingfacility operator or energy management systems, often wasteand Control Systems Energy Management Systems Environmental

Motegi, Naoya; Piette, Mary Ann; Kinney, Satkartar; Herter, Karen

2003-01-01T23:59:59.000Z

164

Option Value of Electricity Demand Response  

E-Print Network (OSTI)

Oakland CA, December. PJM Demand Side Response WorkingPrice Response Program a PJM Economic Load Response ProgramLoad Response Statistics PJM Demand Response Working Group

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

2005-01-01T23:59:59.000Z

165

Web-based energy information systems for energy management and demand response in commercial buildings  

E-Print Network (OSTI)

and benchmark energy use among a portfolio of sites by plotting energy-use data for multiple buildings and

Motegi, Naoya; Piette, Mary Ann; Kinney, Satkartar; Herter, Karen

2003-01-01T23:59:59.000Z

166

Optimal energy management of a micro-grid with renewable energy resources and demand response  

Science Conference Proceedings (OSTI)

With the introduction of smart energy grids and extensive penetration of renewable energy resources in distribution networks

2013-01-01T23:59:59.000Z

167

ENERGY DEMAND FORECAST METHODS REPORT  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION ENERGY DEMAND FORECAST METHODS REPORT Companion Report to the California Energy Demand 2006-2016 Staff Energy Demand Forecast Report STAFFREPORT June 2005 CEC-400 .......................................................................................................................................1-1 ENERGY DEMAND FORECASTING AT THE CALIFORNIA ENERGY COMMISSION: AN OVERVIEW

168

Demand Response Opportunities in Industrial Refrigerated Warehouses...  

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

Demand Response Opportunities in Industrial Refrigerated Warehouses in California Title Demand Response Opportunities in Industrial Refrigerated Warehouses in California...

169

Demand Response Quick Assessment Tool (DRQAT)  

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

Demand Response Quick Assessment Tool (DRQAT) The opportunities for demand reduction and cost saving with building demand responsive control vary tremendously with building type...

170

Distributed Intelligent Automated Demand Response (DIADR) Building  

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

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,

171

Advanced Demand Responsive Lighting  

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

Energy Efficiency Program and Market Trends High Technology and Industrial Buildings Lighting Systems Residential Buildings Simulation Tools Sustainable Federal Operations Windows...

172

Demand Response- Policy  

Energy.gov (U.S. Department of Energy (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,...

173

NCEP_Demand_Response_Draft_111208.indd  

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

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

174

Demand Response Valuation Frameworks Paper  

Science Conference Proceedings (OSTI)

While there is general agreement that demand response (DR) is a valued component in a utility resource plan, there is a lack of consensus regarding how to value DR. Establishing the value of DR is a prerequisite to determining how much and what types of DR should be implemented, to which customers DR should be targeted, and a key determinant that drives the development of economically viable DR consumer technology. Most approaches for quantifying the value of DR focus on changes in utility system revenue requirements based on resource plans with and without DR. This ''utility centric'' approach does not assign any value to DR impacts that lower energy and capacity prices, improve reliability, lower system and network operating costs, produce better air quality, and provide improved customer choice and control. Proper valuation of these benefits requires a different basis for monetization. The review concludes that no single methodology today adequately captures the wide range of benefits and value potentially attributed to DR. To provide a more comprehensive valuation approach, current methods such as the Standard Practice Method (SPM) will most likely have to be supplemented with one or more alternative benefit-valuation approaches. This report provides an updated perspective on the DR valuation framework. It includes an introduction and four chapters that address the key elements of demand response valuation, a comprehensive literature review, and specific research recommendations.

Heffner, Grayson

2009-02-01T23:59:59.000Z

175

Advanced Controls and Communications for Demand Response and Energy Efficiency in Commercial Buildings  

E-Print Network (OSTI)

all the test days and maximum demand savings for the bestin Table 4. Average Maximum Demand Demand Savings SavingsTable 4. Average and maximum demand savings results from

Kiliccote, Sila; Piette, Mary Ann; Hansen, David

2006-01-01T23:59:59.000Z

176

Assessment of Achievable Potential from Energy Efficiency and Demand Response Programs for the Tennessee Valley Authority  

Science Conference Proceedings (OSTI)

This report documents the results of a study to assess the achievable potential for electricity energy savings and peak demand reductions for the Tennessee Valley Authority (TVA) for 2010-2030. The approach involved applying the methodology and technology data developed for the Electric Power Research Institute (EPRI) National Study on the same subject (product number 1016987), adapted to the specific market sector characteristics of the Tennessee Valley. The efficient technologies and measures considere...

2010-03-24T23:59:59.000Z

177

Demand Response Research in Spain  

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

Demand Response Research in Spain Demand Response Research in Spain Speaker(s): Iñigo Cobelo Date: August 22, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Mary Ann Piette The Spanish power system is becoming increasingly difficult to operate. The peak load grows every year, and the permission to build new transmission and distribution infrastructures is difficult to obtain. In this scenario Demand Response can play an important role, and become a resource that could help network operators. The present deployment of demand response measures is small, but this situation however may change in the short term. The two main Spanish utilities and the transmission network operator are designing research projects in this field. All customer segments are targeted, and the research will lead to pilot installations and tests.

178

Thermal Mass and Demand Response  

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

Thermal Mass and Demand Response Speaker(s): Gregor Henze Phil C. Bomrad Date: November 2, 2011 - 12:00pm Location: 90-4133 Seminar HostPoint of Contact: Janie Page The topic of...

179

Automated Demand Response and Commissioning  

E-Print Network (OSTI)

Conference on Building Commissioning: May 4-6, 2005 Motegi,National Conference on Building Commissioning: May 4-6, 2005Demand Response and Commissioning Mary Ann Piette, David S.

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

2005-01-01T23:59:59.000Z

180

Chilled Water Thermal Storage System and Demand Response at the University of California at Merced  

E-Print Network (OSTI)

and Techniques for Demand Response. California EnergyTest Results of Automated Demand Response in a Large OfficeStorage System and Demand Response at the University of

Granderson, Jessica

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

Automated Demand Response Technology Demonstration Project for Small and Medium Commercial Buildings  

E-Print Network (OSTI)

2010 Assessment of Demand Response and  Advanced Metering:  Development for Demand Response  Calculation ? Findings and Energy  Efficiency and  Demand Response with Communicating 

Page, Janie

2012-01-01T23:59:59.000Z

182

Architecture Concepts and Technical Issues for an Open, Interoperable Automated Demand Response Infrastructure  

E-Print Network (OSTI)

energy efficiency and demand response in large facilities.was sponsored by the Demand Response Research Center whichInteroperable Automated Demand Response Infrastructure Ed

Koch, Ed; Piette, Mary Ann

2008-01-01T23:59:59.000Z

183

Software demonstration: Demand Response Quick Assessment Tool  

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

Software demonstration: Demand Response Quick Assessment Tool Software demonstration: Demand Response Quick Assessment Tool Speaker(s): Peng Xu Date: February 4, 2008 - 12:00pm Location: 90-3122 The potential for utilizing building thermal mass for load shifting and peak demand reduction has been demonstrated in a number of simulation, laboratory, and field studies. The Demand Response Quick Assessment Tools developed at LBNL will be demonstrated. The tool is built on EnergyPlus simulation and is able to evaluate and compare different DR strategies, such as global temperature reset, chiller cycling, supply air temperature reset, etc. A separate EnergyPlus plotting tool will also be demonstrated during this seminar. Users can use the tool to test EnergyPlus models, conduct parametric analysis, or compare multiple EnergyPlus simulation

184

The Integration of Energy Efficiency, Renewable Energy, Demand...  

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

The Integration of Energy Efficiency, Renewable Energy, Demand Response and Climate Change: Challenges and Opportunities for Evaluators and Planners Title The Integration of Energy...

185

Demand Responsive and Energy Efficient Control Technologies and Strategies in Commercial Buildings  

E-Print Network (OSTI)

responsive to any real-time price or reliability relatedhour curtailed Real time prices are the only incentive/or 90% of price of energy in the real-time wholesale market

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

186

Opportunities, Barriers and Actions for Industrial Demand Response in California  

E-Print Network (OSTI)

to Add to Integrated Energy Audit Template for IndustrialLearned from Energy and Demand Response Audit Projects inhave been offering energy efficiency audits to large service

McKane, Aimee T.

2009-01-01T23:59:59.000Z

187

Demand Responsive and Energy Efficient Control Technologies and Strategies in Commercial Buildings  

E-Print Network (OSTI)

12 Table 4. Average and Maximum Demand Savings Results fromall the test days and maximum demand savings for the best4. Table 4. Average and Maximum Demand Savings Results from

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

188

Advanced Control Technologies and Strategies Linking Demand Response and Energy Efficiency  

E-Print Network (OSTI)

and M.A. Piette, J. Braun “Peak Demand Reduction from Pre-to reduce Electrical Peak Demands in Commercial Buildings”Management (Daily) - TOU - Peak Demand Charges - Grid Peak -

Kiliccote, Sila; Piette, Mary Ann

2005-01-01T23:59:59.000Z

189

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

electricity ($/kWh) demand ($/kW) natural gas 0.035 forelectricity ($/kWh) demand ($/kW) natural gas $/kWh $/thermnatural gas tariff combined with the almost constant demand

Stadler, Michael

2009-01-01T23:59:59.000Z

190

CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST Demand Forecast report is the product of the efforts of many current and former California Energy Commission staff. Staff contributors to the current forecast are: Project Management and Technical Direction

191

Tri-State Demand Response Framework  

Science Conference Proceedings (OSTI)

This report provides the results of a demand response framework development project of Tri-State Generation and Transmission, a wholesale provider to a number of rural electric associations in the Rocky Mountain west. Tri-State has developed an assortment of planned demand response and energy shaping products and services designed to both shave peak and shift consumption to off-peak hours. The applications, networks, and devices that will be needed to support these needs will involve many ...

2013-03-28T23:59:59.000Z

192

Energy Demand | Open Energy Information  

Open Energy Info (EERE)

Energy Demand Energy Demand Jump to: navigation, search Click to return to AEO2011 page AEO2011 Data Figure 55 From AEO2011 report . Market Trends Growth in energy use is linked to population growth through increases in housing, commercial floorspace, transportation, and goods and services. These changes affect not only the level of energy use, but also the mix of fuels used. Energy consumption per capita declined from 337 million Btu in 2007 to 308 million Btu in 2009, the lowest level since 1967. In the AEO2011 Reference case, energy use per capita increases slightly through 2013, as the economy recovers from the 2008-2009 economic downturn. After 2013, energy use per capita declines by 0.3 percent per year on average, to 293 million Btu in 2035, as higher efficiency standards for vehicles and

193

Demand Response Spinning Reserve Demonstration  

Science Conference Proceedings (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

194

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

E-Print Network (OSTI)

Standardized Automated Demand Response Signals. Presented atand Automated Demand Response in Industrial RefrigeratedActions for Industrial Demand Response in California. LBNL-

Mares, K.C.

2010-01-01T23:59:59.000Z

195

Open Automated Demand Response Communications in Demand Response for Wholesale Ancillary Services  

E-Print Network (OSTI)

A. Barat, D. Watson. 2006 Demand Response Spinning ReserveKueck, and B. Kirby 2008. Demand Response Spinning ReserveReport 2009. Open Automated Demand Response Communications

Kiliccote, Sila

2010-01-01T23:59:59.000Z

196

Integrated Predictive Demand Response Controller Research Project |  

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

Predictive Demand Response Predictive Demand Response Controller Research Project Integrated Predictive Demand Response Controller Research Project The U.S. Department of Energy (DOE) is currently conducting research into integrated predictive demand response (IPDR) controllers. The project team will attempt to design an IPDR controller so that it can be used in new or existing buildings or in collections of buildings. In the case of collections of buildings, they may be colocated on a single campus or remotely located as long as they are served by a single utility or independent service operator. Project Description This project seeks to perform the necessary applied research, development, and testing to provide a communications interface using industry standard open protocols and emerging National Institute of Standards and Technology

197

Demand Response as a System Reliability Resource  

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

Demand Response as a System Reliability Resource Title Demand Response as a System Reliability Resource Publication Type Report Year of Publication 2012 Authors Eto, Joseph H.,...

198

Installation and Commissioning Automated Demand Response Systems  

E-Print Network (OSTI)

al: Installation and Commissioning Automated Demand ResponseConference on Building Commissioning: April 22 – 24, 2008al: Installation and Commissioning Automated Demand Response

Kiliccote, Sila; Global Energy Partners; Pacific Gas and Electric Company

2008-01-01T23:59:59.000Z

199

Occupancy based demand response HVAC control strategy  

Science Conference Proceedings (OSTI)

Heating, cooling and ventilation accounts for 30% energy usage and for 50% of the electricity usage in the United States. Currently, most modern buildings still condition rooms assuming maximum occupancy rather than actual usage. As a result, rooms are ... Keywords: HVAC, demand response, energy savings, occupancy, ventilation

Varick L. Erickson; Alberto E. Cerpa

2010-11-01T23:59:59.000Z

200

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

cooling offset by absorption cooling, but mostly extensivecooling demand increases, this can constitute a stable heat sink if waste heat for absorption

Stadler, Michael

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

Opportunities for Energy Efficiency and Demand Response in the California Cement Industry  

E-Print Network (OSTI)

Energy Consumption Survey.  Washington, DC: Energy Information  Administration, Office of Energy Markets 

Olsen, Daniel

2012-01-01T23:59:59.000Z

202

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network (OSTI)

8.4 Demand Response Integration . . . . . . . . . . .for each day type for the demand response study - moderatefor each day type for the demand response study - moderate

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

203

Energy efficiency options for the New England Demand Response Initiative (NEDRI) -- Framing paper No.4  

Science Conference Proceedings (OSTI)

In response to direction from the Connecticut Department of Public Utility Control (DPUC) in Docket 99-09-30, the Connecticut Light and Power Company (CL&P) has assessed the role of third parties (e.g., ESCOs) in its current energy efficiency programs as well as additional opportunities for third parties to participate in future programs. In addition to working with consultants to the Energy Conservation Management Board, CL&P asked an independent consultant to develop a descriptive framework (i.e., typology) that summarizes alternative approaches to using third parties in ratepayer-funded energy efficiency programs. For each approach, experiences of energy efficiency program administrators (EEA) in other states are summarized, major policy objectives and goals that motivated regulators or EEAs to pursue that option are identified, and lessons learned (e.g., strengths and weaknesses) are summarized. Existing program offerings of CL&P are then classified using this typology in order to characterize the current situation in Connecticut and the potential implications for Connecticut's energy efficiency programs are discussed.

Schlegel, Jeff

2002-05-01T23:59:59.000Z

204

Building Technologies Office: Integrated Predictive Demand Response  

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

Integrated Predictive Integrated Predictive Demand Response Controller Research Project to someone by E-mail Share Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Facebook Tweet about Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Twitter Bookmark Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Google Bookmark Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Delicious Rank Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Digg Find More places to share Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on AddThis.com...

205

Advanced Controls and Communications for Demand Response and Energy Efficiency in Commercial Buildings  

E-Print Network (OSTI)

Buildings Energy Consumption Survey (CBECS) and Nationalnational survey of energy-related building characteristics, and energy consumption,

Kiliccote, Sila; Piette, Mary Ann; Hansen, David

2006-01-01T23:59:59.000Z

206

Demand Responsive and Energy Efficient Control Technologies and Strategies in Commercial Buildings  

E-Print Network (OSTI)

Buildings Energy Consumption Survey (CBECS) and NationalBuilding Energy Consumption Survey (CBECS) and 2) Nationalnational survey of energy-related building characteristics, energy consumption,

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

207

Automated Demand Response and Commissioning  

E-Print Network (OSTI)

internal conditions. Maximum Demand Saving Intensity [W/ft2]automated electric demand sheds. The maximum electric shed

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

2005-01-01T23:59:59.000Z

208

Automated Demand Response Opportunities in Wastewater Treatment Facilities  

E-Print Network (OSTI)

Interoperable Automated Demand Response Infrastructure,study of automated demand response in wastewater treatmentopportunities for demand response control strategies in

Thompson, Lisa

2008-01-01T23:59:59.000Z

209

Opportunities, Barriers and Actions for Industrial Demand Response in California  

E-Print Network (OSTI)

and Techniques for Demand Response, report for theand Reliability Demand Response Programs: Final Report.Demand Response

McKane, Aimee T.

2009-01-01T23:59:59.000Z

210

Northwest Open Automated Demand Response Technology Demonstration Project  

E-Print Network (OSTI)

Report 2009. Open Automated Demand Response Communicationsand Techniques for Demand Response. California Energyand S. Kiliccote. Estimating Demand Response Load Impacts:

Kiliccote, Sila

2010-01-01T23:59:59.000Z

211

Home Network Technologies and Automating Demand Response  

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

electricity generation capacity to meet unrestrained future demand. To address peak electricity use Demand Response (DR) systems are being proposed to motivate reductions in...

212

Advanced Control Technologies and Strategies Linking Demand Response and Energy Efficiency  

E-Print Network (OSTI)

for DR and energy efficiency reduce the cost of implementingfor DR and energy efficiency reduce the cost of implementingfor energy efficiency are expected to reduce the cost for

Kiliccote, Sila; Piette, Mary Ann

2005-01-01T23:59:59.000Z

213

Advanced Controls and Communications for Demand Response and Energy Efficiency in Commercial Buildings  

E-Print Network (OSTI)

devices in energy management systems. Operations Designprice. EMCS (energy management control system) carried outthe use of energy management and control systems is required

Kiliccote, Sila; Piette, Mary Ann; Hansen, David

2006-01-01T23:59:59.000Z

214

Advanced Control Technologies and Strategies Linking Demand Response and Energy Efficiency  

E-Print Network (OSTI)

equipment lockout, pre-cooling, thermal energy storage,Equipment lockout • Pre-cooling • Thermal energy storage •

Kiliccote, Sila; Piette, Mary Ann

2005-01-01T23:59:59.000Z

215

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

on minimized costs, energy efficiency, and CO 2 emissions (energy costs vary when electrical, thermal storage, efficiency

Stadler, Michael

2009-01-01T23:59:59.000Z

216

Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California  

E-Print Network (OSTI)

by utility incentives and state business energy tax credits.by state business energy tax credits and utility incentives.

Lekov, Alex

2009-01-01T23:59:59.000Z

217

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network (OSTI)

and Storage,” Journal of Energy Engineering 133(3): 181–Power Adoption,” Journal of Energy Engineering [6] Siddiqui,

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

218

Automated Demand Response Opportunities in Wastewater Treatment Facilities  

Science Conference Proceedings (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

219

Demand Responsive Lighting: A Scoping Study  

SciTech Connect

The objective of this scoping study is: (1) to identify current market drivers and technology trends that can improve the demand responsiveness of commercial building lighting systems and (2) to quantify the energy, demand and environmental benefits of implementing lighting demand response and energy-saving controls strategies Statewide. Lighting systems in California commercial buildings consume 30 GWh. Lighting systems in commercial buildings often waste energy and unnecessarily stress the electrical grid because lighting controls, especially dimming, are not widely used. But dimmable lighting equipment, especially the dimming ballast, costs more than non-dimming lighting and is expensive to retrofit into existing buildings because of the cost of adding control wiring. Advances in lighting industry capabilities coupled with the pervasiveness of the Internet and wireless technologies have led to new opportunities to realize significant energy saving and reliable demand reduction using intelligent lighting controls. Manufacturers are starting to produce electronic equipment--lighting-application specific controllers (LAS controllers)--that are wirelessly accessible and can control dimmable or multilevel lighting systems obeying different industry-accepted protocols. Some companies make controllers that are inexpensive to install in existing buildings and allow the power consumed by bi-level lighting circuits to be selectively reduced during demand response curtailments. By intelligently limiting the demand from bi-level lighting in California commercial buildings, the utilities would now have an enormous 1 GW demand shed capability at hand. By adding occupancy and light sensors to the remotely controllable lighting circuits, automatic controls could harvest an additional 1 BkWh/yr savings above and beyond the savings that have already been achieved. The lighting industry's adoption of DALI as the principal wired digital control protocol for dimming ballasts and increased awareness of the need to standardize on emerging wireless technologies are evidence of this transformation. In addition to increased standardization of digital control protocols controller capabilities, the lighting industry has improved the performance of dimming lighting systems over the last two years. The system efficacy of today's current dimming ballasts is approaching that of non-dimming program start ballasts. The study finds that the benefits of applying digital controls technologies to California's unique commercial buildings market are enormous. If California were to embark on an concerted 20 year program to improve the demand responsiveness and energy efficiency of commercial building lighting systems, the State could avoid adding generation capacity, improve the elasticity of the grid, save Californians billion of dollars in avoided energy charges and significantly reduce greenhouse gas emissions.

Rubinstein, Francis; Kiliccote, Sila

2007-01-03T23:59:59.000Z

220

Demand Responsive Lighting: A Scoping Study  

SciTech Connect

The objective of this scoping study is: (1) to identify current market drivers and technology trends that can improve the demand responsiveness of commercial building lighting systems and (2) to quantify the energy, demand and environmental benefits of implementing lighting demand response and energy-saving controls strategies Statewide. Lighting systems in California commercial buildings consume 30 GWh. Lighting systems in commercial buildings often waste energy and unnecessarily stress the electrical grid because lighting controls, especially dimming, are not widely used. But dimmable lighting equipment, especially the dimming ballast, costs more than non-dimming lighting and is expensive to retrofit into existing buildings because of the cost of adding control wiring. Advances in lighting industry capabilities coupled with the pervasiveness of the Internet and wireless technologies have led to new opportunities to realize significant energy saving and reliable demand reduction using intelligent lighting controls. Manufacturers are starting to produce electronic equipment--lighting-application specific controllers (LAS controllers)--that are wirelessly accessible and can control dimmable or multilevel lighting systems obeying different industry-accepted protocols. Some companies make controllers that are inexpensive to install in existing buildings and allow the power consumed by bi-level lighting circuits to be selectively reduced during demand response curtailments. By intelligently limiting the demand from bi-level lighting in California commercial buildings, the utilities would now have an enormous 1 GW demand shed capability at hand. By adding occupancy and light sensors to the remotely controllable lighting circuits, automatic controls could harvest an additional 1 BkWh/yr savings above and beyond the savings that have already been achieved. The lighting industry's adoption of DALI as the principal wired digital control protocol for dimming ballasts and increased awareness of the need to standardize on emerging wireless technologies are evidence of this transformation. In addition to increased standardization of digital control protocols controller capabilities, the lighting industry has improved the performance of dimming lighting systems over the last two years. The system efficacy of today's current dimming ballasts is approaching that of non-dimming program start ballasts. The study finds that the benefits of applying digital controls technologies to California's unique commercial buildings market are enormous. If California were to embark on an concerted 20 year program to improve the demand responsiveness and energy efficiency of commercial building lighting systems, the State could avoid adding generation capacity, improve the elasticity of the grid, save Californians billion of dollars in avoided energy charges and significantly reduce greenhouse gas emissions.

Rubinstein, Francis; Kiliccote, Sila

2007-01-03T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

Unlocking the potential for efficiency and demand response through advanced  

NLE Websites -- All DOE Office Websites (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.

222

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

Gas-Fired Distributed Energy Resource Characterizations,”International Journal of Distributed Energy Resources 4(4):A.S. Siddiqui (2008b), “Distributed Energy Resources On-Site

Stadler, Michael

2009-01-01T23:59:59.000Z

223

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network (OSTI)

Hotel – Rio de Janeiro, Brazil Optimal Control of Distributed EnergyHotel – Rio de Janeiro, Brazil Optimal Control of Distributed EnergyHotel – Rio de Janeiro, Brazil Optimal Control of Distributed Energy

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

224

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

a Microgrid,” Journal of Energy Engineering 131(1): 2-25. Toand Storage,” Journal of Energy Engineering 133(3): 181-210.

Stadler, Michael

2009-01-01T23:59:59.000Z

225

Turkey's energy demand and supply  

SciTech Connect

The aim of the present article is to investigate Turkey's energy demand and the contribution of domestic energy sources to energy consumption. Turkey, the 17th largest economy in the world, is an emerging country with a buoyant economy challenged by a growing demand for energy. Turkey's energy consumption has grown and will continue to grow along with its economy. Turkey's energy consumption is high, but its domestic primary energy sources are oil and natural gas reserves and their production is low. Total primary energy production met about 27% of the total primary energy demand in 2005. Oil has the biggest share in total primary energy consumption. Lignite has the biggest share in Turkey's primary energy production at 45%. Domestic production should be to be nearly doubled by 2010, mainly in coal (lignite), which, at present, accounts for almost half of the total energy production. The hydropower should also increase two-fold over the same period.

Balat, M. [Sila Science, Trabzon (Turkey)

2009-07-01T23:59:59.000Z

226

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

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

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)

227

Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty  

E-Print Network (OSTI)

day • EP t : wholesale electricity price during day t (in $/Response under Uncertainty 2006 electricity price Simulatedsample path Electricity price ($/MWh e ) Day Figure 3:

Siddiqui, Afzal

2010-01-01T23:59:59.000Z

228

Demand Responsive and Energy Efficient Control Technologies and Strategies in Commercial Buildings  

E-Print Network (OSTI)

costs and potential on-site generation and renewable energycost minimization, indoor environment quality, and availability of on-site generation or renewable energy

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

229

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

N. Zhou (2007), “Distributed Generation with Heat RecoveryCO 2 emissions, distributed generation, energy management,2008)). Although distributed generation ( DG) units are less

Stadler, Michael

2009-01-01T23:59:59.000Z

230

Opportunities for Energy Efficiency and Demand Response in Corrugated Cardboard Manufacturing Facilities  

E-Print Network (OSTI)

Corrugated cardboard manufacturing is an energy intensive process, in both electric power and steam. Based on the US Census Bureau, there are approximately 1,733 corrugated and solid fiber box manufacturing facilities in the United States. The corrugated and solid fiber box manufacturing enjoyed a growth in number of plants of 4.9% between 1992 and 1997 (U.S. Census, 1997). In this paper, details of the processes in corrugated cardboard production from an energy consumption viewpoint will be discussed, current prevalent practices in the industry will be elaborated and potential measures for energy use and cost savings will be outlined. The results from detailed energy audits of 12 large corrugated cardboard production plants in California will be discussed, their energy consumption will be compared, and potential savings on the national scale will be addressed.

Chow, S.; Hackett, B.; Ganji, A. R.

2005-01-01T23:59:59.000Z

231

Opportunities for Energy Efficiency and Demand Response in the California Cement Industry  

E-Print Network (OSTI)

cement plants electricity tariffs have been  structured is scheduled around an electricity tariff that incorporates electricity pricing prepared for the state of California analyzed  the response of foreign cement plants to multi? period tariffs.  

Olsen, Daniel

2012-01-01T23:59:59.000Z

232

Energy Demand Staff Scientist  

E-Print Network (OSTI)

consumption per ton steel #12;Industrial Energy EfficiencyIndustrial Energy Efficiency Policy Analysis intensity trends and policy background · Focus on Industrial Energy Efficiency · Policy analysis PrimaryEnergy(Mtce) Commercial Buildings Residential Buildings Transportation Industry China 0 500 1,000 1

Knowles, David William

233

Wireless Demand Response Controls for HVAC Systems  

E-Print Network (OSTI)

Response Controls for HVAC Systems Clifford Federspiel,tests. Figure 5: Specific HVAC electric power consumptioncontrol, demand response, HVAC, wireless Executive Summary

Federspiel, Clifford

2010-01-01T23:59:59.000Z

234

Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response  

E-Print Network (OSTI)

Heat and Power Adoption by a Microgrid,” Journal of EnergyStorage and Reliability on Microgrid Viability: A Study ofa cost- or carbon-minimizing microgrid that is able to adopt

Stadler, Michael

2009-01-01T23:59:59.000Z

235

China End-Use Energy Demand Modeling  

NLE Websites -- All DOE Office Websites (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

236

The Integration of Energy Efficiency, Renewable Energy, Demand Response and Climate Change: Challenges and Opportunities for Evaluators and Planners  

E-Print Network (OSTI)

demand at night, then baseload plants and emissions willare typically used for baseload and peak capacity plants,

Vine, Edward

2007-01-01T23:59:59.000Z

237

title Automated Price and Demand Response Demonstration for Large Customers  

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

Automated Price and Demand Response Demonstration for Large Customers Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR booktitle International Conference for Enhanced Building Operations ICEBO year month address Montreal Quebec abstract p class p1 Open Automated Demand Response OpenADR an XML based information exchange model is used to facilitate continuous price responsive operation and demand response participation for large commercial buildings in New York who are subject to the default day ahead hourly pricing We summarize the existing demand response programs in New York and discuss OpenADR communication prioritization of demand response signals and control methods Building energy simulation models are developed and field tests are conducted to evaluate continuous energy management

238

Dynamic controls for energy efficiency and demand response: Framework concepts and a new construction study case in new york  

E-Print Network (OSTI)

Many of today’s advanced building control systems are designed to improve granularity of control for energy efficiency. Examples include direct digital controls for building heating, ventilation, and cooling systems (HVAC), and dimmable ballasts for continuous dimming for daylighting applications. This paper discusses recent research on the use of new and existing controls in commercial buildings for integrated energy efficiency and demand response (DR). The paper discusses the use of DR controls strategies in commercial buildings and provides specific details on DR control strategy design concepts for a new building in New York. We present preliminary results from EnergyPlus simulations of the DR strategies at the New York Times Headquarters building currently under construction. The DR strategies at the Times building involve unique state of the art systems with dimmable ballasts, movable shades on the glass facade, and underfloor air HVAC. The simulation efforts at this building are novel, with an innovative building owner considering DR and future DR program participation strategies during the design phase. This paper also discusses commissioning plans for the DR strategies. The trends in integration of various systems through the EMCS, master versus supervisory controls and dynamic operational modes concepts are presented and future research directions are outlined.

Sila Kiliccote; Mary Ann Piette; David S. Watson; Glenn Hughes; Sila Kiliccote Mary Ann Piette; David S. Watson

2006-01-01T23:59:59.000Z

239

Dynamic Controls for Energy Efficiency and Demand Response:Framework Concepts and a New Construction Study Case in New York  

SciTech Connect

Many of today's advanced building control systems are designed to improve granularity of control for energy efficiency. Examples include direct digital controls for building heating, ventilation, and cooling systems (HVAC), and dimmable ballasts for continuous dimming for daylighting applications. This paper discusses recent research on the use of new and existing controls in commercial buildings for integrated energy efficiency and demand response (DR). The paper discusses the use of DR controls strategies in commercial buildings and provides specific details on DR control strategy design concepts for a new building in New York. We present preliminary results from EnergyPlus simulations of the DR strategies at the New York Times Headquarters building currently under construction. The DR strategies at the Times building involve unique state of the art systems with dimmable ballasts, movable shades on the glass facade, and underfloor air HVAC. The simulation efforts at this building are novel, with an innovative building owner considering DR and future DR program participation strategies during the design phase. This paper also discusses commissioning plans for the DR strategies. The trends in integration of various systems through the EMCS, master versus supervisory controls and dynamic operational modes concepts are presented and future research directions are outlined.

Kiliccote, Sila; Piette, Mary Ann; Watson, David S.; Hughes, Glenn

2006-06-20T23:59:59.000Z

240

Dynamic Controls for Energy Efficiency and Demand Response:Framework Concepts and a New Construction Study Case in New York  

SciTech Connect

Many of today's advanced building control systems are designed to improve granularity of control for energy efficiency. Examples include direct digital controls for building heating, ventilation, and cooling systems (HVAC), and dimmable ballasts for continuous dimming for daylighting applications. This paper discusses recent research on the use of new and existing controls in commercial buildings for integrated energy efficiency and demand response (DR). The paper discusses the use of DR controls strategies in commercial buildings and provides specific details on DR control strategy design concepts for a new building in New York. We present preliminary results from EnergyPlus simulations of the DR strategies at the New York Times Headquarters building currently under construction. The DR strategies at the Times building involve unique state of the art systems with dimmable ballasts, movable shades on the glass facade, and underfloor air HVAC. The simulation efforts at this building are novel, with an innovative building owner considering DR and future DR program participation strategies during the design phase. This paper also discusses commissioning plans for the DR strategies. The trends in integration of various systems through the EMCS, master versus supervisory controls and dynamic operational modes concepts are presented and future research directions are outlined.

Kiliccote, Sila; Piette, Mary Ann; Watson, David S.; Hughes, Glenn

2006-06-20T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

Rates and technologies for mass-market demand response  

NLE Websites -- All DOE Office Websites (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.

242

The Regents of the University of California. Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network (OSTI)

and to be published in the ProceedingsDISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by its trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or The Regents of the University of California. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof or

M. A. Piette; S. Kiliccote; G. Ghatikar; Mary Ann Piette; Sila Kiliccote; Girish Ghatikar

2008-01-01T23:59:59.000Z

243

Demand Response Valuation Frameworks Paper  

E-Print Network (OSTI)

lvi Southern California Edison filed its SmartConnectinfrastructure (e.g. , Edison Electric Institute, DemandSouthern California Edison Standard Practice Manual

Heffner, Grayson

2010-01-01T23:59:59.000Z

244

Residential demand response using reinforcement learning  

E-Print Network (OSTI)

Abstract — We present a novel energy management system for residential demand response. The algorithm, named CAES, reduces residential energy costs and smooths energy usage. CAES is an online learning application that implicitly estimates the impact of future energy prices and of consumer decisions on long term costs and schedules residential device usage. CAES models both energy prices and residential device usage as Markov, but does not assume knowledge of the structure or transition probabilities of these Markov chains. CAES learns continuously and adapts to individual consumer preferences and pricing modifications over time. In numerical simulations CAES reduced average end-user financial costs from 16 % to 40 % with respect to a price-unaware energy allocation. I.

Marco Levorato; Andrea Goldsmith; Urbashi Mitra

2010-01-01T23:59:59.000Z

245

Chapter 3 Demand-Side Resources | Department of Energy  

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

these resources result from one of two methods of reducing load: energy efficiency or demand response load management. The energy efficiency method designs and deploys...

246

Demand Response Valuation Frameworks Paper  

E-Print Network (OSTI)

capacity prices Lower energy prices Participant Reduced svc$42 million); lxi Reduced energy prices during tight supply+ Reduced wholesale energy prices due to sustained energy

Heffner, Grayson

2010-01-01T23:59:59.000Z

247

The Integration of Energy Efficiency, Renewable Energy, Demand Response and Climate Change: Challenges and Opportunities for Evaluators and Planners  

E-Print Network (OSTI)

M. Bolinger 2006. Who Owns Renewable Energy Certificates? AnEnergy Efficiency and Renewable Energy Technology andan Energy Efficiency and Renewable Energy Set-Aside in the

Vine, Edward

2007-01-01T23:59:59.000Z

248

Home Network Technologies and Automating Demand Response  

Science Conference Proceedings (OSTI)

Over the past several years, interest in large-scale control of peak energy demand and total consumption has increased. While motivated by a number of factors, this interest has primarily been spurred on the demand side by the increasing cost of energy and, on the supply side by the limited ability of utilities to build sufficient electricity generation capacity to meet unrestrained future demand. To address peak electricity use Demand Response (DR) systems are being proposed to motivate reductions in electricity use through the use of price incentives. DR systems are also be design to shift or curtail energy demand at critical times when the generation, transmission, and distribution systems (i.e. the 'grid') are threatened with instabilities. To be effectively deployed on a large-scale, these proposed DR systems need to be automated. Automation will require robust and efficient data communications infrastructures across geographically dispersed markets. The present availability of widespread Internet connectivity and inexpensive, reliable computing hardware combined with the growing confidence in the capabilities of distributed, application-level communications protocols suggests that now is the time for designing and deploying practical systems. Centralized computer systems that are capable of providing continuous signals to automate customers reduction of power demand, are known as Demand Response Automation Servers (DRAS). The deployment of prototype DRAS systems has already begun - with most initial deployments targeting large commercial and industrial (C & I) customers. An examination of the current overall energy consumption by economic sector shows that the C & I market is responsible for roughly half of all energy consumption in the US. On a per customer basis, large C & I customers clearly have the most to offer - and to gain - by participating in DR programs to reduce peak demand. And, by concentrating on a small number of relatively sophisticated energy consumers, it has been possible to improve the DR 'state of the art' with a manageable commitment of technical resources on both the utility and consumer side. Although numerous C & I DR applications of a DRAS infrastructure are still in either prototype or early production phases, these early attempts at automating DR have been notably successful for both utilities and C & I customers. Several factors have strongly contributed to this success and will be discussed below. These successes have motivated utilities and regulators to look closely at how DR programs can be expanded to encompass the remaining (roughly) half of the state's energy load - the light commercial and, in numerical terms, the more important residential customer market. This survey examines technical issues facing the implementation of automated DR in the residential environment. In particular, we will look at the potential role of home automation networks in implementing wide-scale DR systems that communicate directly to individual residences.

McParland, Charles

2009-12-01T23:59:59.000Z

249

Demand Response Spinning Reserve Demonstration  

E-Print Network (OSTI)

Prepared for Energy Systems Integration Public InterestPrepared for Energy Systems Integration   Public Interest 

2007-01-01T23:59:59.000Z

250

Optimization of Demand Response Through Peak Shaving  

E-Print Network (OSTI)

Jul 5, 2013 ... Optimization of Demand Response Through Peak Shaving. G. Zakeri(g.zakeri *** at*** auckland.ac.nz) D. Craigie(David.Craigie ***at*** ...

251

Automated Demand Response Technology Demonstration Project for...  

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

Demonstration Project for Small and Medium Commercial Buildings Title Automated Demand Response Technology Demonstration Project for Small and Medium Commercial Buildings...

252

Demand response participation in PJM wholesale markets  

Science Conference Proceedings (OSTI)

This paper provides an overview of demand response resource participation in PJM wholesale ancillary service markets which include: Day Ahead Scheduling Reserves, Synchronized Reserves and Regulation.

Peter L. Langbein

2012-01-01T23:59:59.000Z

253

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

3 3.0 Previous Experience with Demand Responsive Lighting11 4.3. Prevalence of Lighting13 4.4. Impact of Title 24 on Lighting

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

254

Demand Response Opportunities in Industrial Refrigerated Warehouses in California  

E-Print Network (OSTI)

and Open Automated Demand Response. In Grid Interop Forum.work was sponsored by the Demand Response Research Center (load-management.php. Demand Response Research Center (2009).

Goli, Sasank

2012-01-01T23:59:59.000Z

255

Results and commissioning issues from an automated demand response pilot  

E-Print Network (OSTI)

of Fully Automated Demand Response in Large Facilities"Management and Demand Response in Commercial Buildings", L Band Commissioning Issues from an Automated Demand Response.

Piette, Mary Ann; Watson, Dave; Sezgen, Osman; Motegi, Naoya

2004-01-01T23:59:59.000Z

256

Open Automated Demand Response for Small Commerical Buildings  

E-Print Network (OSTI)

of Fully Automated Demand  Response in Large Facilities.  Fully Automated Demand Response Tests in Large Facilities.  Open Automated  Demand Response Communication Standards: 

Dudley, June Han

2009-01-01T23:59:59.000Z

257

Rates and technologies for mass-market demand response  

E-Print Network (OSTI)

Roger. 2002. Using Demand Response to Link Wholesale andfor advanced metering, demand response, and dynamic pricing.EPRI. 2001. Managing Demand-Response To Achieve Multiple

Herter, Karen; Levy, Roger; Wilson, John; Rosenfeld, Arthur

2002-01-01T23:59:59.000Z

258

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

Goodin. 2009. “Open Automated Demand Response Communicationsin Demand Response for Wholesale Ancillary Services. ” InOpen Automated Demand Response Demonstration Project. LBNL-

Ghatikar, Girish

2010-01-01T23:59:59.000Z

259

Coordination of Retail Demand Response with Midwest ISO Markets  

E-Print Network (OSTI)

Robinson, Michael, 2008, "Demand Response in Midwest ISOPresentation at MISO Demand Response Working Group Meeting,Coordination of Retail Demand Response with Midwest ISO

Bharvirkar, Ranjit

2008-01-01T23:59:59.000Z

260

Scenarios for Consuming Standardized Automated Demand Response Signals  

E-Print Network (OSTI)

of Fully Automated Demand Response in Large Facilities.Fully Automated Demand Response Tests in Large Facilities.Interoperable Automated Demand Response Infrastructure.

Koch, Ed

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

Dynamic Pricing, Advanced Metering, and Demand Response in Electricity Markets  

E-Print Network (OSTI)

the New England ISO Demand Response Collaborative, a NYSERDACEC Staff. Selected Demand Response Pilots in California:New Principles for Demand Response Planning, Electric Power

Borenstein, Severin; Jaske, Michael; Rosenfeld, Arthur

2002-01-01T23:59:59.000Z

262

Measurement and evaluation techniques for automated demand response demonstration  

E-Print Network (OSTI)

Development for Demand Response Calculation – Findings andManagement and Demand Response in Commercial Buildings. ”of Fully Automated Demand Response in Large Facilities. ”

Motegi, Naoya; Piette, Mary Ann; Watson, David S.; Sezgen, Osman; ten Hope, Laurie

2004-01-01T23:59:59.000Z

263

Open Automated Demand Response Communications Specification (Version 1.0)  

E-Print Network (OSTI)

and Techniques for Demand Response. May 2007. LBNL-59975.to facilitate automating  demand response actions at the Interoperable Automated Demand Response Infrastructure,

Piette, Mary Ann

2009-01-01T23:59:59.000Z

264

Demand response enabling technology development  

E-Print Network (OSTI)

Wright, “Thin Film Piezoelectric Energy Scavenging SystemsWright, “Thin Film Piezoelectric Energy Scavenging Systems,”in the field of piezoelectric vibration energy scavenging

2006-01-01T23:59:59.000Z

265

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"

266

Demand response enabling technology development  

E-Print Network (OSTI)

first situation, energy is wasted, and in the second, thefirst situation, energy is wasted, and in the second, the

Arens, Edward; Auslander, David; Huizenga, Charlie

2008-01-01T23:59:59.000Z

267

Role of context-awareness for demand response mechanisms  

Science Conference Proceedings (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 programs in balancing between the supply ... Keywords: context-awareness, demand response, smart energy management

Pari Delir Haghighi; Shonali Krishnaswamy

2011-08-01T23:59:59.000Z

268

EIA - Annual Energy Outlook 2008 - Energy Demand  

Gasoline and Diesel Fuel Update (EIA)

Energy Demand Energy Demand Annual Energy Outlook 2008 with Projections to 2030 Energy Demand Figure 40. Energy use per capita and per dollar of gross domestic product, 1980-2030 (index, 1980 = 1). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 41. Primary energy use by fuel, 2006-2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. figure data Average Energy Use per Person Levels Off Through 2030 Because energy use for housing, services, and travel in the United States is closely linked to population levels, energy use per capita is relatively stable (Figure 40). In addition, the economy is becoming less dependent on energy in general. Energy intensity (energy use per 2000 dollar of GDP) declines by an average

269

US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier  

E-Print Network (OSTI)

US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach Massimo www.cepe.ethz.ch #12;US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach Page 1 of 25 US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier

270

National Action Plan on Demand Response  

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

6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 ACTUAL FORECAST National Action Plan on Demand Response the feDeRal eneRgy RegulatoRy commission staff 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 National Action Plan on Demand Response THE FEDERAL ENERGY REGULATORY COMMISSION STAFF June 17, 2010 Docket No. AD09-10 Prepared with the support of The Brattle Group * GMMB * Customer Performance Group Definitive Insights * Eastern Research Group The opinions and views expressed in this staff report do not necessarily represent those of the Federal Energy Regulatory Commission, its Chairman, or individual Commissioners, and are not binding on the Commission.

271

Demand Response Valuation Frameworks Paper  

E-Print Network (OSTI)

produce a short-term energy market price reduction of $8- $and incentive payments), energy market price benefits to allweather years the energy market price benefits and the ICAP

Heffner, Grayson

2010-01-01T23:59:59.000Z

272

Demand Response Valuation Frameworks Paper  

E-Print Network (OSTI)

intermittency (e.g. , wind energy). Network benefits includewind energy. c Two principle approaches may be found to estimating environmental benefits.

Heffner, Grayson

2010-01-01T23:59:59.000Z

273

Retail Demand Response in Southwest Power Pool  

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

LBNL-1470E LBNL-1470E Retail Demand Response in Southwest Power Pool Ranjit Bharvirkar, Grayson Heffner and Charles Goldman Lawrence Berkeley National Laboratory Environmental Energy Technologies Division January 2009 The work described in this report 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. ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of

274

Demand response compensation, net Benefits and cost allocation: comments  

Science Conference Proceedings (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

275

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST Volume 2: Electricity Demand The demand forecast is the combined product of the hard work and expertise of numerous California Energy previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped prepare

276

Dynamic Controls for Energy Efficiency and Demand Response: Framework Concepts and a New Construction Study Case in New York  

E-Print Network (OSTI)

and J.E. Braun. 2004. “Peak Demand Reduction from Pre-contributor to summer peak demand, with large increases inin driving summer peak demands suggest that commercial

Kiliccote, Sila; Piette, Mary Ann; Watson, David S.; Hughes, Glenn

2006-01-01T23:59:59.000Z

277

Managing plug-loads for demand response within buildings  

Science Conference Proceedings (OSTI)

Detailed and accurate energy accounting is an important first step in improving energy efficiency within buildings. Based on this information, building managers can perform active energy management, especially during demand response situations that require ... Keywords: energy management, energy metering, plug-loads management, wireless sensor network

Thomas Weng; Bharathan Balaji; Seemanta Dutta; Rajesh Gupta; Yuvraj Agarwal

2011-11-01T23:59:59.000Z

278

Price Responsive Demand in New York Wholesale Electricity Market using  

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

Price Responsive Demand in New York Wholesale Electricity Market using Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Title Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Publication Type Report LBNL Report Number LBNL-5557E Year of Publication 2012 Authors Kim, Joyce Jihyun, and Sila Kiliccote Date Published 06/2012 Publisher LBNL/NYSERDA Keywords commercial, demand response, dynamic pricing, mandatory hourly pricing, open automated demand response, openadr, pilot studies & implementation, price responsive demand Abstract In New York State, the default electricity pricing for large customers is Mandatory Hourly Pricing (MHP), which is charged based on zonal day-ahead market price for energy. With MHP, retail customers can adjust their building load to an economically optimal level according to hourly electricity prices. Yet, many customers seek alternative pricing options such as fixed rates through retail access for their electricity supply. Open Automated Demand Response (OpenADR) is an XML (eXtensible Markup Language) based information exchange model that communicates price and reliability information. It allows customers to evaluate hourly prices and provide demand response in an automated fashion to minimize electricity costs. This document shows how OpenADR can support MHP and facilitate price responsive demand for large commercial customers in New York City.

279

Assessment of Achievable Potential from Energy-Efficiency and Demand Response Programs for the Tennessee Valley Authority (2010-2030)  

Science Conference Proceedings (OSTI)

This report documents the results of a study to assess the achievable potential for electric energy savings and peak demand reductions for the Tennessee Valley Authority (TVA) for the years 2010-2030. The approach involved applying the methodology and technology data developed for the Electric Power Research Institute (EPRI) National Study on the same subject, adapted to the specific market sector characteristics of the Tennessee Valley. The efficient technologies and measures considered are commercially...

2010-06-30T23:59:59.000Z

280

EIA - Annual Energy Outlook 2009 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

data Rate of Electricity Demand Growth Slows, Following the Historical Trend Electricity demand fluctuates in the short term in response to business cycles, weather conditions,...

Note: This page contains sample records for the topic "demand response energy" 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

The alchemy of demand response: turning demand into supply  

Science Conference Proceedings (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

282

Demand Response Spinning Reserve Demonstration  

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

Weather Service NYISO New York Independent System Operator OAT Otherwise Applicable Tariff PG&E Pacific Gas and Electric Company PIER Public Interest Energy Research program...

283

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

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

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)

284

COMMENTS OF THE DEMAND RESPONSE AND SMART GRID COALITION  

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

1 1 COMMENTS OF THE DEMAND RESPONSE AND SMART GRID COALITION Department of Energy Implementing the National Broadband Plan by Empowering Consumers and the Smart Grid: Data Access, Third Party Use, and Privacy July 12, 2010 The Demand Response and Smart Grid Coalition (DRSG) 1 , the trade association for companies that provide products and services in the areas of demand response and smart grid technologies, respectfully submits its comments to the Department of Energy's Request for Information "Implementing the National Broadband Plan by Empowering Consumers and the Smart Grid: Data Access, Third Party Use, and Privacy."

285

Demand Response Valuation Frameworks Paper  

E-Print Network (OSTI)

12: Market Impacts of Price Responsive Load in PJM and ISO-44 Figure 15: PJM Synchronized Reserve Scheduled MW:particularly those in PJM’s service territory, have begun

Heffner, Grayson

2010-01-01T23:59:59.000Z

286

Industrial Lift Truck Battery Charger Demand Response Impact Study  

Science Conference Proceedings (OSTI)

Demand response and load shifting are two common energy management strategies used by lift truck fleet operators to mitigate on-peak energy consumption, reduce electricity costs, and react to electric system emergency curtailment requests. When customers elect to participate in demand response programs, they are contacted and asked to reduce load during power shortage situations. Alternatively, customers may implement longer-term economic load shifting strategies by reducing power to their lift truck bat...

2008-04-03T23:59:59.000Z

287

Demand Response Valuation Frameworks Paper  

E-Print Network (OSTI)

million Market Price Benefits $2.109 billion (PV) None $52PV of a future option to curtail a given load, constructed to reflect forward energy curves as modified by forecast price &

Heffner, Grayson

2010-01-01T23:59:59.000Z

288

INTEGRATION OF PV IN DEMAND RESPONSE  

E-Print Network (OSTI)

of the baseline defining a customer's load profile, and (2) PVs cannot be turned on at will for scheduled tests customers to curtail demand when needed to reduce risk of grid failure during times of peak loading load. The value of this credit may reach or exceed $100/kW/year [1] Demand response is typically

Perez, Richard R.

289

Assessing the Control Systems Capacity for Demand Response in California  

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

the Control Systems Capacity for Demand Response in California the Control Systems Capacity for Demand Response in California Industries Title Assessing the Control Systems Capacity for Demand Response in California Industries Publication Type Report LBNL Report Number LBNL-5319E Year of Publication 2012 Authors Ghatikar, Girish, Aimee T. McKane, Sasank Goli, Peter L. Therkelsen, and Daniel Olsen Date Published 01/2012 Publisher CEC/LBNL Keywords automated dr, controls and automation, demand response, dynamic pricing, industrial controls, market sectors, openadr Abstract California's electricity markets are moving toward dynamic pricing models, such as real-time pricing, within the next few years, which could have a significant impact on an industrial facility's cost of energy use during the times of peak use. Adequate controls and automated systems that provide industrial facility managers real-time energy use and cost information are necessary for successful implementation of a comprehensive electricity strategy; however, little is known about the current control capacity of California industries. To address this gap, Lawrence Berkeley National Laboratory, in close collaboration with California industrial trade associations, conducted a survey to determine the current state of controls technologies in California industries. This study identifies sectors that have the technical capability to implement Demand Response (DR) and Automated Demand Response (Auto-DR). In an effort to assist policy makers and industry in meeting the challenges of real-time pricing, facility operational and organizational factors were taken into consideration to generate recommendations on which sectors Demand Response efforts should be focused. Analysis of the survey responses showed that while the vast majority of industrial facilities have semi- or fully automated control systems, participation in Demand Response programs is still low due to perceived barriers. The results also showed that the facilities that use continuous processes are good Demand Response candidates. When comparing facilities participating in Demand Response to those not participating, several similarities and differences emerged. Demand Response-participating facilities and non-participating facilities had similar timings of peak energy use, production processes, and participation in energy audits. Though the survey sample was smaller than anticipated, the results seemed to support our preliminary assumptions. Demonstrations of Auto-Demand Response in industrial facilities with good control capabilities are needed to dispel perceived barriers to participation and to investigate industrial subsectors suggested of having inherent Demand Response potential.

290

The Integration of Energy Efficiency, Renewable Energy, Demand Response and Climate Change: Challenges and Opportunities for Evaluators and Planners  

E-Print Network (OSTI)

energy savings in the short-term (resource acquisition programs) or the longer-term (education, information, advertising, promotion and market

Vine, Edward

2007-01-01T23:59:59.000Z

291

2010 Assessment of Demand Response and Advanced Metering - Staff Report |  

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

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

292

2010 Assessment of Demand Response and Advanced Metering - Staff Report |  

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

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

293

Commercial & Industrial Demand Response Within Hawaiian Electric Company Service Territory  

Science Conference Proceedings (OSTI)

By reducing power usage during peak demand periods, demand response (DR) programs can help utilities manage power loads and complement energy efficiency activities while providing ratepayers an opportunity to substantially reduce their electric bills. This project assessed the costs and benefits of potential DR programs for Hawaiian Electric Company's (HECO's) commercial and industrial (CI) customers.

2007-06-04T23:59:59.000Z

294

Towards continuous policy-driven demand response in data centers  

Science Conference Proceedings (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

295

Demand response-enabled residential thermostat controls  

E-Print Network (OSTI)

from the utility. The electricity rates were generated basedat the different electricity rates and the user’s discomfortrates. Demand response measures have the effect of adding elasticity to the electricity

Chen, Xue; Jang, Jaehwi; Auslander, David; Peffer, Therese; Arens, Edward

2008-01-01T23:59:59.000Z

296

Demand Response Enabled Appliance Development at GE  

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

Demand Response Enabled Appliance Development at GE Speaker(s): David Najewicz Date: June 12, 2009 - 12:00pm Location: 90-3122 Dave Najewicz of GE Consumer and Appliances will...

297

Automated Demand Response for Critical Peak Pricing  

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

Automated Demand Response for Critical Peak Pricing Speaker(s): Naoya Motegi Date: June 9, 2005 - 12:00pm Location: Bldg. 90 California utilities have been exploring the use of...

298

Wireless Demand Response Controls for HVAC  

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

Wireless Demand Response Controls for HVAC Speaker(s): Clifford Federspiel Date: June 22, 2006 - 12:00pm Location: 90-3148 Seminar HostPoint of Contact: Richard Diamond Peng Xu We...

299

Software demonstration: Demand Response Quick Assessment Tool  

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

Software demonstration: Demand Response Quick Assessment Tool Speaker(s): Peng Xu Date: February 4, 2008 - 12:00pm Location: 90-3122 The potential for utilizing building thermal...

300

Demand response-enabled residential thermostat controls.  

E-Print Network (OSTI)

from the utility. The electricity rates were generated basedat the different electricity rates and the user’s discomfortrates. Demand response measures have the effect of adding elasticity to the electricity

Chen, Xue; Jang, Jaehwi; Auslander, David M.; Peffer, Therese; Arens, Edward A

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 2: Electricity Demand.Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product to the contributing authors listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad

302

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST Volume 2: Electricity Demand Robert P. Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined prepared the commercial sector forecast. Mehrzad Soltani Nia helped prepare the industrial forecast

303

Implementation Proposal for The National Action Plan on Demand Response |  

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

Implementation Proposal for The National Action Plan on Demand Implementation Proposal for The National Action Plan on Demand Response Implementation Proposal for The National Action Plan on Demand Response August 1, 2011 - 3:54pm Addthis EXECUTIVE SUMMARY The staff of the Federal Energy Regulatory Commission (FERC) and the U.S. Department of Energy (DOE) developed this implementation proposal as required by section 529 of the Energy Independence and Security Act of 2007 (EISA).1 In particular, this proposal complies with EISA's mandate "to submit to Congress a proposal to implement the [National] Action Plan [on Demand Response], including specific proposed assignments of responsibility, proposed budget amounts, and any agreements secured for participation from State and other participants."2 The objective of the proposal is to implement the National Action Plan to

304

Measuring the capacity impacts of demand response  

Science Conference Proceedings (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

305

Option Value of Electricity Demand Response  

E-Print Network (OSTI)

2. Constructing a Forward View of Energy Prices and Interest5 2.1 Energy Price Forwardin response to changing energy prices. The key uncertainties

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

2005-01-01T23:59:59.000Z

306

Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building  

E-Print Network (OSTI)

and Pre-cooling of Commercial Buildings with Thermal Mass inthe discharge of thermal mass from pre-cooling reduces theby thermal energy storage in the central plant, cooling fans

Dudley, Junqiao Han

2010-01-01T23:59:59.000Z

307

Benefits of Demand Response in Electricity Markets and Recommendations for  

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

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

308

Modeling the residential demand for energy  

Science Conference Proceedings (OSTI)

Demand for energy is derived from the demand for services that appliances and energy together provide. This raises a number of serious econometric issues when estimating energy-demand functions: delineation of short-run and long-run household responses, specification of the price variable and in particular, the assumption that the model is recursive, or in other words, that the appliance choice equation and the energy consumption equation are uncorrelated. The dissertation utilizes a structural model of energy use whose theoretical underpinnings derive from the conditional logit model and an extension of that model to the joint-discrete/continuous case by Dubin and McFadden (1980). It uses the 1978 to 1979 National Interim Energy Comsumption Survey. Three appliance portfolio choices are analyzed; choice of water and space heating and central air-conditioning; choice of room air conditioners; and choice of clothes dryers, either as multinomial logit or binary probit choices. Results varied widely across the appliance choice considered; use of Hausman's test led to acceptance of the null hypothesis of orthogonality in some cases but not in others. Demand for electricity and natural gas tended to be price inelastic; however, estimated own-price effects differed considerably when disaggregated by appliance categories and across methods of estimation.

Kirby, S.N.

1983-01-01T23:59:59.000Z

309

California Energy Demand Scenario Projections to 2050  

E-Print Network (OSTI)

California Energy Demand Scenario Projections to 2050 RyanResearch Program California Energy Commission November 7,Chris Kavalec. California Energy Commission. CEC (2003a)

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

2008-01-01T23:59:59.000Z

310

California DREAMing: the design of residential demand responsive technology with people in mind  

E-Print Network (OSTI)

to inform people of their energy usage. We tested the systemcertain quality and energy usage standards of variousprice and household energy usage to enable demand response

Peffer, Therese E.

2009-01-01T23:59:59.000Z

311

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":""}]}

312

Rates and technologies for mass-market demand response  

SciTech Connect

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.

Herter, Karen; Levy, Roger; Wilson, John; Rosenfeld, Arthur

2002-07-21T23:59:59.000Z

313

Centralized and Decentralized Control for Demand Response  

Science Conference Proceedings (OSTI)

Demand response has been recognized as an essential element of the smart grid. Frequency response, regulation and contingency reserve functions performed traditionally by generation resources are now starting to involve demand side resources. Additional benefits from demand response include peak reduction and load shifting, which will defer new infrastructure investment and improve generator operation efficiency. Technical approaches designed to realize these functionalities can be categorized into centralized control and decentralized control, depending on where the response decision is made. This paper discusses these two control philosophies and compares their relative advantages and disadvantages in terms of delay time, predictability, complexity, and reliability. A distribution system model with detailed household loads and controls is built to demonstrate the characteristics of the two approaches. The conclusion is that the promptness and reliability of decentralized control should be combined with the predictability and simplicity of centralized control to achieve the best performance of the smart grid.

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

2011-04-29T23:59:59.000Z

314

How to Get More Response from Demand Response  

Science Conference Proceedings (OSTI)

Despite all the rhetoric, demand response's contribution to meet peak load will remain elusive in the absence of enabling technology and standardized business protocols. (author)

Neumann, Scott; Sioshansi, Fereidoon; Vojdani, Ali; Yee, Gaymond

2006-10-15T23:59:59.000Z

315

FERC sees huge potential for demand response  

Science Conference Proceedings (OSTI)

The FERC study concludes that U.S. peak demand can be reduced by as much as 188 GW -- roughly 20 percent -- under the most aggressive scenario. More moderate -- and realistic -- scenarios produce smaller but still significant reductions in peak demand. The FERC report is quick to point out that these are estimates of the potential, not projections of what could actually be achieved. The main varieties of demand response programs include interruptible tariffs, direct load control (DLC), and a number of pricing schemes.

NONE

2010-04-15T23:59:59.000Z

316

On demand responsiveness in additive cost sharing  

E-Print Network (OSTI)

Abstract. We propose two new axioms of demand responsiveness for additive cost sharing with variable demands. Group Monotonicity requires that if a group of agents increase their demands, not all of them pay less. Solidarity says that if agent i demands more, j should not pay more if k pays less. Both axioms are compatible in the partial responsibility theory postulating Strong Ranking, i.e., the ranking of cost shares should never contradict that of demands. The combination of Strong Ranking, Solidarity and Monotonicity characterizes the quasi-proportional methods, under which cost shares are proportional to ‘rescaled ’ demands. The alternative full responsibility theory is based on Separability, ruling out cross-subsidization when costs are additively separable. Neither the Aumann-Shapley nor the Shapley-Shubik method is group monotonic. On the other hand, convex combinations of “nearby ” …xed-path methods are group-monotonic: the subsidy-free serial method is the main example. No separable method meets Solidarity, yet restricting the axiom to submodular (or supermodular) cost functions leads to a characterization of the …xed-‡ow methods, containing the Shapley-Shubik and serial methods. JEL Classi…cation numbers: C 71, D 63.

Hervé Moulin; Yves Sprumont

2005-01-01T23:59:59.000Z

317

Data center demand response: Avoiding the coincident peak via workload shifting and local generation  

Science Conference Proceedings (OSTI)

Demand response is a crucial aspect of the future smart grid. It has the potential to provide significant peak demand reduction and to ease the incorporation of renewable energy into the grid. Data centers' participation in demand response is becoming ... Keywords: Data center, Demand response, Online algorithm, Prediction error, Renewable penetration, Workload management

Zhenhua Liu, Adam Wierman, Yuan Chen, Benjamin Razon, Niangjun Chen

2013-10-01T23:59:59.000Z

318

Assessment of Industrial Load for Demand Response across Western Interconnect  

SciTech Connect

Demand response (DR) has the ability to both increase power grid reliability and potentially reduce operating system costs. Understanding the role of demand response in grid modeling has been difficult due to complex nature of the load characteristics compared to the modeled generation and the variation in load types. This is particularly true of industrial loads, where hundreds of different industries exist with varying availability for demand response. We present a framework considering industrial loads for the development of availability profiles that can provide more regional understanding and can be inserted into analysis software for further study. The developed framework utilizes a number of different informational resources, algorithms, and real-world measurements to perform a bottom-up approach in the development of a new database with representation of the potential demand response resource in the industrial sector across the U.S. This tool houses statistical values of energy and demand response (DR) potential by industrial plant and geospatially locates the information for aggregation for different territories without proprietary information. This report will discuss this framework and the analyzed quantities of demand response for Western Interconnect (WI) in support of evaluation of the cost production modeling with power grid modeling efforts of demand response.

Alkadi, Nasr E [ORNL] [ORNL; Starke, Michael R [ORNL] [ORNL; Ma, Ookie [United States Department of Energy (DOE), Office of Efficiency and Renewable Energy (EERE)] [United States Department of Energy (DOE), Office of Efficiency and Renewable Energy (EERE)

2013-11-01T23:59:59.000Z

319

Automated Demand Response Technologies and Demonstration in New York City  

NLE Websites -- All DOE Office Websites (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.

320

Wireless Demand Response Controls for HVAC Systems  

Science Conference Proceedings (OSTI)

The objectives of this scoping study were to develop and test control software and wireless hardware that could enable closed-loop, zone-temperature-based demand response in buildings that have either pneumatic controls or legacy digital controls that cannot be used as part of a demand response automation system. We designed a SOAP client that is compatible with the Demand Response Automation Server (DRAS) being used by the IOUs in California for their CPP program, design the DR control software, investigated the use of cellular routers for connecting to the DRAS, and tested the wireless DR system with an emulator running a calibrated model of a working building. The results show that the wireless DR system can shed approximately 1.5 Watts per design CFM on the design day in a hot, inland climate in California while keeping temperatures within the limits of ASHRAE Standard 55: Thermal Environmental Conditions for Human Occupancy.

Federspiel, Clifford

2009-06-30T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

Evaluation Framework for Sustainable Demand Response Implementations: A Framework for Evaluating Demand Response Implementation Alte rnatives for Sustainability  

Science Conference Proceedings (OSTI)

This report presents a framework for evaluating demand response (DR) implementation options with the goal of achieving long-term sustainability. Effective implementation of DR can help reduce energy price volatility and maintain or improve service reliability. The DR evaluation framework provides a structured, systematic approach to help utility personnel and other stakeholders in planning and comparing demand response options, toward the goal of implementing sustainable DR programs that support utility ...

2011-12-30T23:59:59.000Z

322

Automated Demand Response Strategies and Commissioning Commercial Building Controls  

E-Print Network (OSTI)

4 9 . Piette et at Automated Demand Response Strategies andDynamic Controls for Demand Response in New and ExistingFully Automated Demand Response Tests in Large Facilities"

Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Linkugel, Eric

2006-01-01T23:59:59.000Z

323

A Look Ahead at Demand Response in New England  

Science Conference Proceedings (OSTI)

The paper describes the demand response programs developed and in operation in New England, and the revised designs for participation in the forward capacity market. This description will include how energy efficiency, demand-side resources, and distributed generation are eligible to participate in this new forward capacity market. The paper will also discuss various methods that can be used to configure and communicate with demand response resources and important concerns in specifying interfaces that accommodate multiple technologies and allow technology choice and evolution.

Burke, Robert B.; Henderson, Michael I.; Widergren, Steven E.

2008-08-01T23:59:59.000Z

324

Demand Response & Smart Grid - State Legislative and Regulatory Policy  

Open Energy Info (EERE)

Demand Response & Smart Grid - State Legislative and Regulatory Policy Demand Response & Smart Grid - State Legislative and Regulatory Policy Actions: October 2008 to May 2010 Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Demand Response & Smart Grid - State Legislative and Regulatory Policy Actions: October 2008 to May 2010 Focus Area: Energy Efficiency, - Utility Topics: Socio-Economic Website: www.demandresponsesmartgrid.org/Resources/Documents/State%20Policy%20S Equivalent URI: cleanenergysolutions.org/content/demand-response-smart-grid-state-legi Language: English Policies: Regulations Regulations: Enabling Legislation This report reviews the implementation of utility efficiency programs in the United States at both the state and federal levels. In addition, the updated report catalogues regulatory commission action, independent of

325

Market and Policy Barriers for Demand Response Providing Ancillary Services  

NLE Websites -- All DOE Office Websites (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

326

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

NLE Websites -- All DOE Office Websites (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.

327

Installation and Commissioning Automated Demand Response Systems  

Science Conference Proceedings (OSTI)

Demand Response (DR) can be defined as actions taken to reduce electric loads when contingencies, such as emergencies and congestion, occur that threaten supply-demand balance, or market conditions raise supply costs. California utilities have offered price and reliability DR based programs to customers to help reduce electric peak demand. The lack of knowledge about the DR programs and how to develop and implement DR control strategies is a barrier to participation in DR programs, as is the lack of automation of DR systems. Most DR activities are manual and require people to first receive notifications, and then act on the information to execute DR strategies. Levels of automation in DR can be defined as follows. Manual Demand Response involves a labor-intensive approach such as manually turning off or changing comfort set points at each equipment switch or controller. Semi-Automated Demand Response involves a pre-programmed demand response strategy initiated by a person via centralized control system. 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. The receipt of the external signal initiates pre-programmed demand response strategies. We refer to this as Auto-DR (Piette et. al. 2005). Auto-DR for commercial and industrial facilities can be defined as fully automated DR initiated by a signal from a utility or other appropriate entity and that provides fully-automated connectivity to customer end-use control strategies. One important concept in Auto-DR is that a homeowner or facility manager should be able to 'opt out' or 'override' a DR event if the event comes at time when the reduction in end-use services is not desirable. Therefore, Auto-DR is not handing over total control of the equipment or the facility to the utility but simply allowing the utility to pass on grid related information which then triggers facility defined and programmed strategies if convenient to the facility. From 2003 through 2006 Lawrence Berkeley National Laboratory (LBNL) and the Demand Response Research Center (DRRC) developed and tested a series of demand response automation communications technologies known as Automated Demand Response (Auto-DR). In 2007, LBNL worked with three investor-owned utilities to commercialize and implement Auto-DR programs in their territories. This paper summarizes the history of technology development for Auto-DR, and describes the DR technologies and control strategies utilized at many of the facilities. It outlines early experience in commercializing Auto-DR systems within PG&E DR programs, including the steps to configure the automation technology. The paper also describes the DR sheds derived using three different baseline methodologies. Emphasis is given to the lessons learned from installation and commissioning of Auto-DR systems, with a detailed description of the technical coordination roles and responsibilities, and costs.

Global Energy Partners; Pacific Gas and Electric Company; Kiliccote, Sila; Kiliccote, Sila; Piette, Mary Ann; Wikler, Greg; Prijyanonda, Joe; Chiu, Albert

2008-04-21T23:59:59.000Z

328

Demand-Responsive and Efficient Building Systems as a Resource...  

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

Demand-Responsive and Efficient Building Systems as a Resource for Electricity Reliability Title Demand-Responsive and Efficient Building Systems as a Resource for Electricity...

329

Findings from the 2004 Fully Automated Demand Response Tests...  

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

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...

330

A Demand Response (DR) Event: Benefits, Strategies, Automation...  

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

A Demand Response (DR) Event: Benefits, Strategies, Automation and Future of DR Title A Demand Response (DR) Event: Benefits, Strategies, Automation and Future of DR Publication...

331

2008-2010 Research Summary: Analysis of Demand Response Opportunities...  

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

-2010 Research Summary: Analysis of Demand Response Opportunities in California Industry Title 2008-2010 Research Summary: Analysis of Demand Response Opportunities in California...

332

Assessing the Control Systems Capacity for Demand Response in...  

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

the Control Systems Capacity for Demand Response in California Industries Title Assessing the Control Systems Capacity for Demand Response in California Industries Publication Type...

333

Chilled Water Storage System and Demand Response at the University...  

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

Chilled Water Storage System and Demand Response at the University of California at Merced Title Chilled Water Storage System and Demand Response at the University of California at...

334

Demand Response Providing Ancillary Services A Comparison of...  

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

Demand Response Providing Ancillary Services A Comparison of Opportunities and Challenges in the US Wholesale Markets Title Demand Response Providing Ancillary Services A...

335

Unlocking the potential for efficiency and demand response through...  

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

Unlocking the potential for efficiency and demand response through advanced metering Title Unlocking the potential for efficiency and demand response through advanced metering...

336

Hawaiian Electric Company Demand Response Roadmap Project Final...  

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

Hawaiian Electric Company Demand Response Roadmap Project Final Report Title Hawaiian Electric Company Demand Response Roadmap Project Final Report Publication Type Report LBNL...

337

Field Demonstration of Automated Demand Response for Both Winter...  

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

Demonstration of Automated Demand Response for Both Winter and Summer Events in Large Buildings in the Pacific Northwest Title Field Demonstration of Automated Demand Response for...

338

Fast Automated Demand Response to Enable the Integration of Renewable...  

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

Fast Automated Demand Response to Enable the Integration of Renewable Resources Title Fast Automated Demand Response to Enable the Integration of Renewable Resources Publication...

339

LEED Demand Response Credit: A Plan for Research towards Implementatio...  

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

LEED Demand Response Credit: A Plan for Research towards Implementation Title LEED Demand Response Credit: A Plan for Research towards Implementation Publication Type Conference...

340

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

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

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

Note: This page contains sample records for the topic "demand response energy" 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

Dynamic Pricing, Advanced Metering, and Demand Response in Electricity Markets  

E-Print Network (OSTI)

as Large Comm. Interval metering system with monthly dataDynamic Pricing, Advanced Metering and Demand Response inE Dynamic Pricing, Advanced Metering, and Demand Response in

Borenstein, Severin; Jaske, Michael; Rosenfeld, Arthur

2002-01-01T23:59:59.000Z

342

Providing Reliability Services through Demand Response: A Prelimnary Evaluation of the Demand Response Capabilities of Alcoa Inc.  

Science Conference Proceedings (OSTI)

Demand response is the largest underutilized reliability resource in North America. Historic demand response programs have focused on reducing overall electricity consumption (increasing efficiency) and shaving peaks but have not typically been used for immediate reliability response. Many of these programs have been successful but demand response remains a limited resource. The Federal Energy Regulatory Commission (FERC) report, 'Assessment of Demand Response and Advanced Metering' (FERC 2006) found that only five percent of customers are on some form of demand response program. Collectively they represent an estimated 37,000 MW of response potential. These programs reduce overall energy consumption, lower green house gas emissions by allowing fossil fuel generators to operate at increased efficiency and reduce stress on the power system during periods of peak loading. As the country continues to restructure energy markets with sophisticated marginal cost models that attempt to minimize total energy costs, the ability of demand response to create meaningful shifts in the supply and demand equations is critical to creating a sustainable and balanced economic response to energy issues. Restructured energy market prices are set by the cost of the next incremental unit of energy, so that as additional generation is brought into the market, the cost for the entire market increases. The benefit of demand response is that it reduces overall demand and shifts the entire market to a lower pricing level. This can be very effective in mitigating price volatility or scarcity pricing as the power system responds to changing demand schedules, loss of large generators, or loss of transmission. As a global producer of alumina, primary aluminum, and fabricated aluminum products, Alcoa Inc., has the capability to provide demand response services through its manufacturing facilities and uniquely through its aluminum smelting facilities. For a typical aluminum smelter, electric power accounts for 30% to 40% of the factory cost of producing primary aluminum. In the continental United States, Alcoa Inc. currently owns and/or operates ten aluminum smelters and many associated fabricating facilities with a combined average load of over 2,600 MW. This presents Alcoa Inc. with a significant opportunity to respond in areas where economic opportunities exist to help mitigate rising energy costs by supplying demand response services into the energy system. This report is organized into seven chapters. The first chapter is the introduction and discusses the intention of this report. The second chapter contains the background. In this chapter, topics include: the motivation for Alcoa to provide demand response; ancillary service definitions; the basics behind aluminum smelting; and a discussion of suggested ancillary services that would be particularly useful for Alcoa to supply. Chapter 3 is concerned with the independent system operator, the Midwest ISO. Here the discussion examines the evolving Midwest ISO market structure including specific definitions, requirements, and necessary components to provide ancillary services. This section is followed by information concerning the Midwest ISO's classifications of demand response parties. Chapter 4 investigates the available opportunities at Alcoa's Warrick facility. Chapter 5 involves an in-depth discussion of the regulation service that Alcoa's Warrick facility can provide and the current interactions with Midwest ISO. Chapter 6 reviews future plans and expectations for Alcoa providing ancillary services into the market. Last, chapter 7, details the conclusion and recommendations of this paper.

Starke, Michael R [ORNL; Kirby, Brendan J [ORNL; Kueck, John D [ORNL; Todd, Duane [Alcoa; Caulfield, Michael [Alcoa; Helms, Brian [Alcoa

2009-02-01T23:59:59.000Z

343

Estimation of Demand Responses to Ramp Meters  

E-Print Network (OSTI)

Estimation of Demand Responses to Ramp Meters by Lei Zhang and David Levinson For the 3rd ICTTS different types of trips respond to ramp meters (work vs. non-work; short vs. long) A bill was passed to shut off ramp meters to study effectiveness in the Twin Cities in Spring 2000 The shut-off experiment

Levinson, David M.

344

Energy Basics: Tankless Demand Water Heaters  

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

only as needed and without the use of a storage tank. They don't produce the standby energy losses associated with storage water heaters. How Demand Water Heaters Work Demand...

345

Automated Demand Response Strategies and Commissioning CommercialBuilding Controls  

SciTech Connect

California electric utilities have been exploring the use of dynamic critical peak pricing (CPP) and other demand response programs to help reduce peaks in customer electric loads. CPP is a new electricity tariff design to promote demand response. This paper begins with a brief review of terminology regarding energy management and demand response, followed by a discussion of DR control strategies and a preliminary overview of a forthcoming guide on DR strategies. The final section discusses experience to date with these strategies, followed by a discussion of the peak electric demand savings from the 2005 Automated CPP program. An important concept identified in the automated DR field tests is that automated DR will be most successful if the building commissioning industry improves the operational effectiveness of building controls. Critical peak pricing and even real time pricing are important trends in electricity pricing that will require new functional tests for building commissioning.

Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Linkugel, Eric

2006-05-01T23:59:59.000Z

346

Unlocking the potential for efficiency and demand response throughadvanced metering  

Science Conference Proceedings (OSTI)

Reliance on the standard cumulative kilowatt-hour metersubstantially compromises energy efficiency and demand response programs.Without advanced metering, utilities cannot support time-differentiatedrates or collect the detailed customer usage information necessary to (1)educate the customer to the economic value of efficiency and demandresponse options, or (2) distribute load management incentivesproportional to customer contribution. These deficiencies prevent thecustomer feedback mechanisms that would otherwise encourage economicallysound demand-side investments and behaviors. Thus, the inability tocollect or properly price electricity usage handicaps the success ofalmost all efficiency and demand response options. Historically,implementation of the advanced metering infrastructure (AMI) necessaryfor the successful efficiency and demand response programs has beenprevented by inadequate cost-benefit analyses. A recent California efforthas produced an expanded cost-effectiveness methodology for AMI thatintroduces previously excluded benefits. In addition to utility-centriccosts and benefits, the new model includes qualitative and quantitativecosts and benefits that accrue to both customers and society.

Levy, Roger; Herter, Karen; Wilson, John

2004-06-30T23:59:59.000Z

347

Demand Response Opportunities and Enabling Technologies for Data Centers:  

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

Demand Response Opportunities and Enabling Technologies for Data Centers: Demand Response Opportunities and Enabling Technologies for Data Centers: Findings From Field Studies Title Demand Response Opportunities and Enabling Technologies for Data Centers: Findings From Field Studies Publication Type Report LBNL Report Number LBNL-5763E Year of Publication 2012 Authors Ghatikar, Girish, Venkata Ganti, Nance Matson, and Mary Ann Piette Publisher PG&E/SDG&E/CEC/LBNL Keywords communication and standards, control systems, data centers, demand response, enabling technologies, end-use technologies, load migration, market sectors, technologies Abstract The energy use in data centers is increasing and, in particular, impacting the data center energy cost and electric grid reliability during peak and high price periods. As per the 2007 U.S. Environmental Protection Agency (EPA), in the Pacific Gas and Electric Company territory, data centers are estimated to consume 500 megawatts of annual peak electricity. The 2011 data confirm the increase in data center energy use, although it is slightly lower than the EPA forecast. Previous studies have suggested that data centers have significant potential to integrate with supply-side programs to reduce peak loads. In collaboration with California data centers, utilities, and technology vendors, this study conducted field tests to improve the understanding of the demand response opportunities in data centers. The study evaluated an initial set of control and load migration strategies and economic feasibility for four data centers. The findings show that with minimal or no impact to data center operations a demand savings of 25% at the data center level or 10% to 12% at the whole building level can be achieved with strategies for cooling and IT equipment, and load migration. These findings should accelerate the grid-responsiveness of data centers through technology development, integration with the demand response programs, and provide operational cost savings.

348

Definition: Peak Demand | Open Energy Information  

Open Energy Info (EERE)

Peak Demand Peak Demand Jump to: navigation, search Dictionary.png Peak Demand The highest hourly integrated Net Energy For Load within a Balancing Authority Area occurring within a given period (e.g., day, month, season, or year)., The highest instantaneous demand within the Balancing Authority Area.[1] View on Wikipedia Wikipedia Definition Peak demand is used to refer to a historically high point in the sales record of a particular product. In terms of energy use, peak demand describes a period of strong consumer demand. Related Terms Balancing Authority Area, energy, demand, balancing authority, 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

349

Demand Response For Power System Reliability: FAQ  

SciTech Connect

Demand response is the most underutilized power system reliability resource in North America. Technological advances now make it possible to tap this resource to both reduce costs and improve. Misconceptions concerning response capabilities tend to force loads to provide responses that they are less able to provide and often prohibit them from providing the most valuable reliability services. Fortunately this is beginning to change with some ISOs making more extensive use of load response. This report is structured as a series of short questions and answers that address load response capabilities and power system reliability needs. Its objective is to further the use of responsive load as a bulk power system reliability resource in providing the fastest and most valuable ancillary services.

Kirby, Brendan J [ORNL

2006-12-01T23:59:59.000Z

350

Demand Response and Variable Generation Integration Scoping Study  

NLE Websites -- All DOE Office Websites (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

351

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

8 Figure 7: Maximum Demands Savings Intensity due toaddressed in this report. Maximum Demand Savings Intensity (Echelon Figure 7: Maximum Demands Savings Intensity due to

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

352

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 2014­2024 FINAL FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work to the contributing authors listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad

353

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 2014­2024 REVISED FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped

354

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network (OSTI)

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 2: Electricity Demand by Utility ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work and expertise of numerous, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped prepare

355

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network (OSTI)

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped

356

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network (OSTI)

Processing Industry Energy Efficiency Initiative, CaliforniaK. (2004). Bringing Energy Efficiency to the Water andAgricultural/Water End-Use Energy Efficiency Program. Lyco

Lekov, Alex

2010-01-01T23:59:59.000Z

357

Opportunities for Energy Efficiency and Open Automated Demand Response in Wastewater Treatment Facilities in California -- Phase I Report  

E-Print Network (OSTI)

state.aspx? id=124. California Energy Commission. (2000). "pubs/fuelcell.pdf. California Energy Commission (2003).Wastewater Treatment. California Energy Commission (2003).

Lekov, Alex

2010-01-01T23:59:59.000Z

358

Modular Communication Interface Specification for Demand Response  

Science Conference Proceedings (OSTI)

This report contains a technical specification for a modular interface for residential appliances that enables them to be compatible with any utility communication system through the use of customer-installable plug-in communication modules. This specification is the result of collaboration between utilities, appliance makers, communication system providers, demand response service providers, and trade organizations. The specification details the mechanical, electrical, and logical characteristics of a s...

2011-08-31T23:59:59.000Z

359

Barrier Immune Radio Communications for Demand Response  

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

Barrier Immune Radio Communications for Demand Response Barrier Immune Radio Communications for Demand Response Title Barrier Immune Radio Communications for Demand Response Publication Type Report LBNL Report Number LBNL-2294e Year of Publication 2009 Authors Rubinstein, Francis M., Girish Ghatikar, Jessica Granderson, Paul Haugen, Carlos Romero, and David S. Watson Keywords technologies Abstract Various wireless technologies were field-tested in a six-story laboratory building to identify wireless technologies that can scale for future DR applications through very low node density power consumption, and unit cost. Data analysis included analysis of the signal-to-noise ratio (SNR), packet loss, and link quality at varying power levels and node densities. The narrowband technologies performed well, penetrating the floors of the building with little loss and exhibiting better range than the wideband technology. 900 MHz provided full coverage at 1 watt and substantially complete coverage at 500 mW at the test site. 900 MHz was able to provide full coverage at 100 mW with only one additional relay transmitter, and was the highest-performing technology in the study. 2.4 GHz could not provide full coverage with only a single transmitter at the highest power level tested (63 mW). However, substantially complete coverage was provided at 2.4 GHz at 63 mW with the addition of one repeater node.

360

Analysis of Distribution Level Residential Demand Response  

SciTech Connect

Control of end use loads has existed in the form of direct load control for decades. Direct load control systems allow a utility to interrupt power to a medium to large size commercial or industrial customer a set number of times a year. With the current proliferation of computing resources and communications systems the ability to extend the direct load control systems now exists. Demand response systems now have the ability to not only engage commercial and industrial customers, but also the individual residential customers. Additionally, the ability exists to have automated control systems which operate on a continual basis instead of the traditional load control systems which could only be operated a set number of times a year. These emerging demand response systems have the capability to engage a larger portion of the end use load and do so in a more controlled manner. This paper will examine the impact that demand response systems have on the operation of an electric power distribution system.

Schneider, Kevin P.; Fuller, Jason C.; Chassin, David P.

2009-03-23T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

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

362

Residential sector: the demand for energy services  

Science Conference Proceedings (OSTI)

The purpose of this report is to project the demand for residential services, and, thereby, the demand for energy into the future. The service demands which best represent a complete breakdown of residential energy consumption is identified and estimates of the amount of energy, by fuel type, used to satisfy each service demand for an initial base year (1978) are detailed. These estimates are reported for both gross (or input) energy use and net or useful energy use, in the residential sector. The various factors which affect the consumption level for each type of energy and each identified service demand are discussed. These factors include number of households, appliance penetration, choice of fuel type, technical conversion efficiency of energy using devices, and relative energy efficiency of the building shell (extent of insulation, resistance to air infiltration, etc.). These factors are discussed relative to both the present and expected future values, for the purpose of projections. The importance of the housing stock to service demand estimation and projection and trends in housing in Illinois are discussed. How the housing stock is projected based on population and household projections is explained. The housing projections to the year 2000 are detailed. The projections of energy consumption by service demand and fuel type are contrasted with the various energy demand projections in Illinois Energy Consumption Trends: 1960 to 2000 and explains how and why the two approaches differ. (MCW)

Not Available

1981-01-01T23:59:59.000Z

363

Barrier Immune Radio Communications for Demand Response  

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

94E 94E Barrier Immune Radio Communications for Demand Response F. Rubinstein, G. Ghatikar, J. Granderson, D. Watson Lawrence Berkeley National Laboratory P. Haugen, C. Romero Lawrence Livermore National Laboratory February 2009 DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe

364

Rates and technologies for mass-market demand response  

Science Conference Proceedings (OSTI)

Demand response programs are often quickly and poorlycrafted in reaction to an energy crisis and disappear once the crisissubsides, ensuring that the electricity system will be unprepared whenthe next crisis hits. In this paper, we propose to eliminate theevent-driven nature of demand response programs by considering demandresponsiveness a component of the utility obligation to serve. As such,demand response can be required as a condition of service, and theoffering of demand response rates becomes a requirement of utilities asan element of customer service. Using this foundation, we explore thecosts and benefits of a smart thermostat-based demand response systemcapable of two types of programs: (1) a mandatory, system-operatorcontrolled, contingency program, and (2) a voluntary, customercontrolled, bill management program with rate-based incentives. Anydemand response program based on this system could consist of either orboth of these components. Ideally, these programs would be bundled,providing automatic load management through customer-programmed priceresponse, plus up to 10 GW of emergency load shedding capability inCalifornia. Finally, we discuss options for and barriers toimplementation of such a program in California.

Herter, Karen; Levy, Roger; Wilson, John; Rosenfeld, Arthur

2002-07-21T23:59:59.000Z

365

Strategies for Demand Response in Commercial Buildings  

E-Print Network (OSTI)

the average and maximum peak demand savings. The electricity1: Average and Maximum Peak Electric Demand Savings during

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

2006-01-01T23:59:59.000Z

366

Occupancy Based Demand Response HVAC Control Strategy Varick L. Erickson  

E-Print Network (OSTI)

proposes an HVAC control strategy based on occupancy prediction and real time occupancy monitoring via simulation model. We dis- cuss the building parameters and the HVAC control strate- gies used for the energyOccupancy Based Demand Response HVAC Control Strategy Varick L. Erickson University of California

Cerpa, Alberto E.

367

Demand Response Program Design and Implementation Case Study...  

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

Delurey, Dan, and J. Schwartz Date Published 022013 Keywords demand response research, demand side resources: policy, electricity markets, electricity markets and policy group,...

368

Evaluation of Representative Smart Grid Investment Project Technologies: Demand Response  

DOE Green Energy (OSTI)

This document is one of a series of reports estimating the benefits of deploying technologies similar to those implemented on the Smart Grid Investment Grant (SGIG) projects. Four technical reports cover the various types of technologies deployed in the SGIG projects, distribution automation, demand response, energy storage, and renewables integration. A fifth report in the series examines the benefits of deploying these technologies on a national level. This technical report examines the impacts of a limited number of demand response technologies and implementations deployed in the SGIG projects.

Fuller, Jason C.; Prakash Kumar, Nirupama; Bonebrake, Christopher A.

2012-02-14T23:59:59.000Z

369

Price-responsive demand management for a smart grid world  

Science Conference Proceedings (OSTI)

Price-responsive demand is essential for the success of a smart grid. However, existing demand-response programs run the risk of causing inefficient price formation. This problem can be solved if each retail customer could establish a contract-based baseline through demand subscription before joining a demand-response program. (author)

Chao, Hung-po

2010-01-15T23:59:59.000Z

370

California Baseline Energy Demands to 2050 for Advanced Energy Pathways  

E-Print Network (OSTI)

dependence in natural gas usage. January typically sees theindustrial fuels usage. Natural gas demand has been risinggas demands regionally, to account for variability in energy usage

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

2008-01-01T23:59:59.000Z

371

Energy Demands and Efficiency Strategies in Data Center Buildings  

E-Print Network (OSTI)

Total Annual Energy Usage Peak Electric Demand Power UsageSetpoint (°C) Peak Electric Demand Power Usage Effective-Total Annual Energy Usage Peak Electric Demand Scenario

Shehabi, Arman

2010-01-01T23:59:59.000Z

372

A National Forum on Demand Response: What Remains to Be Done to Achieve Its  

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

State and Regional Policy Assistance » Technical Assistance » Demand State and Regional Policy Assistance » Technical Assistance » Demand Response - Policy » A National Forum on Demand Response: What Remains to Be Done to Achieve Its Potential A National Forum on Demand Response: What Remains to Be Done to Achieve Its Potential In July 2011, the Federal Energy Regulatory Commission's (FERC) staff and the Department of Energy (DOE) jointly submitted to Congress a required "Implementation Proposal for the National Action Plan on Demand Response." The Implementation Proposal was for FERC's June 2010 National Action Plan for Demand Response. Part of the July 2011 Implementation Proposal called for a "National Forum" on demand response to be conducted by DOE and FERC. Given the rapid development of the demand response industry, DOE and FERC decided

373

Intelligent Building Automation: A Demand Response Management Perspective  

E-Print Network (OSTI)

In recent years intelligent Building Automation Systems, based on best practice open technology, have succeeded in helping facilities reduce their infrastructure, installation and operating costs. The idea was - 'the less the human intervention and the more automated the system then the more efficient the building'. With that in mind a question may arise as to whether this philosophy has been successful in educating the consumer on the importance of energy efficiency or has it actually alienated him? Would it be more effective if the consumer were to be part of the efficiency process? What about if the energy savings could be passed on to the consumer directly depending on how efficient he was? Demand response is a mechanism by which consumers change the energy consumption in response to energy price fluctuations, demand charges, or a direct request to reduce demand when the power grid reaches critical levels. However, in order for a demand response regime to be effective the building will need to have a number of 'pre-requisites' in place.

Qazi, T.

2010-01-01T23:59:59.000Z

374

Optimized HVAC Management Service to Enhance Demand Response  

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

Optimized HVAC Management Service to Enhance Demand Response Optimized HVAC Management Service to Enhance Demand Response Speaker(s): John Steinberg Date: August 18, 2011 - 12:00pm Location: 90-4133 Seminar Host/Point of Contact: Janie Page Many utilities are investing vast sums deploying smart meters to customers, some of whom remain stubbornly opposed to those deployments, in large part because they remain unmoved by the claimed benefits. EcoFactor has developed a thermostat management service that delivers (and quantifies) significant energy savings for consumers and a number of additional benefits to other players in the energy value chain. It does so without relying on consumers to modify behavior, study energy information displays, or even pay attention to their energy use. EcoFactor also significantly boosts DR yield while it increases occupant comfort. It can identify HVAC

375

Option Value of Electricity Demand Response  

E-Print Network (OSTI)

Response to Electricity Real Time Prices: Short Run and LongOver-the-counter Real-time Prices Thermal Energy Storage viiare being exposed to real-time prices (RTP) in their default

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

2005-01-01T23:59:59.000Z

376

Dynamic Controls for Energy Efficiency and Demand Response: Framework Concepts and a New Construction Study Case in New York  

E-Print Network (OSTI)

hour curtailed Real time prices are the only incentive/or 90% of price of energy in the real-time wholesale marketor 90% of price of energy in the real-time wholesale market

Kiliccote, Sila; Piette, Mary Ann; Watson, David S.; Hughes, Glenn

2006-01-01T23:59:59.000Z

377

Empirical Analysis of the Spot Market Implications of Price-Responsive Demand  

E-Print Network (OSTI)

CA, USA. Siddiqui, AS (2004), “Price-Elastic Demand inand Demand Response in Electricity Markets,” CSEM Working Paper CSEM-WP-105, University of California Energy Institute, Berkeley, CA, USA.

Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

2008-01-01T23:59:59.000Z

378

Japan's Residential Energy Demand Outlook to 2030  

E-Print Network (OSTI)

for Energy Efficiency and Renewable Energy, Planning, Analysis, and Evaluation section in the U.S. Department section in the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. #12;ppaappeerr ttoo bbeeLBNL-292E Japan's Residential Energy Demand Outlook to 2030 Considering Energy Efficiency Standards

379

Unlocking the potential for efficiency and demand response throughadvanced metering  

SciTech Connect

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. Historically, implementation of the advanced metering infrastructure (AMI) necessary for the successful efficiency and demand response programs has been prevented by inadequate cost-benefit analyses. A recent California effort has produced an expanded cost-effectiveness methodology for AMI that introduces previously excluded benefits. In addition to utility-centric costs and benefits, the new model includes qualitative and quantitative costs and benefits that accrue to both customers and society.

Levy, Roger; Herter, Karen; Wilson, John

2004-06-30T23:59:59.000Z

380

Retail Demand Response in Southwest Power Pool  

E-Print Network (OSTI)

pricing tariffs have a peak demand reduction potential ofneed to reduce summer peak demand that is used to set demandcustomers and a system peak demand of over 43,000 MW. SPP’s

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

with total Statewide peak demand and on peak days isto examine the electric peak demand related to lighting inDaily) - TOU Savings - Peak Demand Charges - Grid Peak -Low

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

382

Demand-Side Response from Industrial Loads  

Science Conference Proceedings (OSTI)

Through a research study funded by the Department of Energy, Smart Grid solutions company ENBALA Power Networks along with the Oak Ridge National Laboratory (ORNL) have geospatially quantified the potential flexibility within industrial loads to leverage their inherent process storage to help support the management of the electricity grid. The study found that there is an excess of 12 GW of demand-side load flexibility available in a select list of top industrial facilities in the United States. Future studies will expand on this quantity of flexibility as more in-depth analysis of different industries is conducted and demonstrations are completed.

Starke, Michael R [ORNL; Alkadi, Nasr E [ORNL; Letto, Daryl [Enbala Power Networks; Johnson, Brandon [University of Tennessee, Knoxville (UTK); Dowling, Kevin [University of Tennessee, Knoxville (UTK); George, Raoule [Enbala Power Networks; Khan, Saqib [University of Texas, Austin

2013-01-01T23:59:59.000Z

383

Retail Demand Response in Southwest Power Pool  

E-Print Network (OSTI)

Regulatory Commission (FERC) 2006. “Assessment of DemandRegulatory Commission (FERC) 2007. “Assessment of DemandRegulatory Commission (FERC) 2008a. “Wholesale Competition

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

384

Solar Energy Grid Integration Systems. Final Report of the Princeton Power Systems Development of the 100kW Demand Response Inverter.  

DOE Green Energy (OSTI)

Initiated in 2008, the Solar Energy Grid Integration (SEGIS) program is a partnership involving the U.S. Department of Energy, Sandia National Laboratories, electric utilities, academic institutions and the private sector. Recognizing the need to diversify the nation's energy portfolio, the SEGIS effort focuses on specific technologies needed to facilitate the integration of large-scale solar power generation into the nation's power grid Sandia National Laboratories (SNL) awarded a contract to Princeton Power Systems, Inc., (PPS) to develop a 100kW Advanced AC-link SEGIS inverter prototype under the Department of Energy Solar Energy Technologies Program for near-term commercial applications. This SEGIS initiative emphasizes the development of advanced inverters, controllers, communications and other balance-of-system components for photovoltaic (PV) distributed power applications. The SEGIS Stage 3 Contract was awarded to PPS on July 28, 2010. PPS developed and implemented a Demand Response Inverter (DRI) during this three-stage program. PPS prepared a 'Site Demonstration Conference' that was held on September 28, 2011, to showcase the cumulative advancements. This demo of the commercial product will be followed by Underwriters Laboratories, Inc., certification by the fourth quarter of 2011, and simultaneously the customer launch and commercial production sometime in late 2011 or early 2012. This final report provides an overview of all three stages and a full-length reporting of activities and accomplishments in Stage 3.

Bower, Ward Isaac; Heavener, Paul (Princeton Power Systems, Inc., Princeton, NJ); Sena-Henderson, Lisa; Hammell, Darren (Princeton Power Systems, Inc., Princeton, NJ); Holveck, Mark (Princeton Power Systems, Inc., Princeton, NJ); David, Carolyn; Akhil, Abbas Ali; Gonzalez, Sigifredo

2012-01-01T23:59:59.000Z

385

Solar Energy Grid Integration Systems. Final Report of the Princeton Power Systems Development of the 100kW Demand Response Inverter.  

SciTech Connect

Initiated in 2008, the Solar Energy Grid Integration (SEGIS) program is a partnership involving the U.S. Department of Energy, Sandia National Laboratories, electric utilities, academic institutions and the private sector. Recognizing the need to diversify the nation's energy portfolio, the SEGIS effort focuses on specific technologies needed to facilitate the integration of large-scale solar power generation into the nation's power grid Sandia National Laboratories (SNL) awarded a contract to Princeton Power Systems, Inc., (PPS) to develop a 100kW Advanced AC-link SEGIS inverter prototype under the Department of Energy Solar Energy Technologies Program for near-term commercial applications. This SEGIS initiative emphasizes the development of advanced inverters, controllers, communications and other balance-of-system components for photovoltaic (PV) distributed power applications. The SEGIS Stage 3 Contract was awarded to PPS on July 28, 2010. PPS developed and implemented a Demand Response Inverter (DRI) during this three-stage program. PPS prepared a 'Site Demonstration Conference' that was held on September 28, 2011, to showcase the cumulative advancements. This demo of the commercial product will be followed by Underwriters Laboratories, Inc., certification by the fourth quarter of 2011, and simultaneously the customer launch and commercial production sometime in late 2011 or early 2012. This final report provides an overview of all three stages and a full-length reporting of activities and accomplishments in Stage 3.

Bower, Ward Isaac; Heavener, Paul (Princeton Power Systems, Inc., Princeton, NJ); Sena-Henderson, Lisa; Hammell, Darren (Princeton Power Systems, Inc., Princeton, NJ); Holveck, Mark (Princeton Power Systems, Inc., Princeton, NJ); David, Carolyn; Akhil, Abbas Ali; Gonzalez, Sigifredo

2012-01-01T23:59:59.000Z

386

Dynamic Controls for Energy Efficiency and Demand Response: Framework Concepts and a New Construction Study Case in New York  

E-Print Network (OSTI)

energy in the real-time wholesale market $0.45/ kWh or 90% of priceenergy in the real-time wholesale market Customers are paid at least the forecasted price

Kiliccote, Sila; Piette, Mary Ann; Watson, David S.; Hughes, Glenn

2006-01-01T23:59:59.000Z

387

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

SciTech Connect

This study examines data center characteristics, loads, control systems, and technologies to identify demand response (DR) and automated DR (Open Auto-DR) opportunities and challenges. The study was performed in collaboration with technology experts, industrial partners, and data center facility managers and existing research on commercial and industrial DR was collected and analyzed. The results suggest that data centers, with significant and rapidly growing energy use, have significant DR potential. Because data centers are highly automated, they are excellent candidates for Open Auto-DR. 'Non-mission-critical' data centers are the most likely candidates for early adoption of DR. Data center site infrastructure DR strategies have been well studied for other commercial buildings; however, DR strategies for information technology (IT) infrastructure have not been studied extensively. The largest opportunity for DR or load reduction in data centers is in the use of virtualization to reduce IT equipment energy use, which correspondingly reduces facility cooling loads. DR strategies could also be deployed for data center lighting, and heating, ventilation, and air conditioning. Additional studies and demonstrations are needed to quantify benefits to data centers of participating in DR and to address concerns about DR's possible impact on data center performance or quality of service and equipment life span.

Ghatikar, Girish; Piette, Mary Ann; Fujita, Sydny; McKane, Aimee; Dudley, Junqiao Han; Radspieler, Anthony; Mares, K.C.; Shroyer, Dave

2009-12-30T23:59:59.000Z

388

Modeling, Analysis, and Control of Demand Response Resources  

E-Print Network (OSTI)

comes to demand response is FERC is own worst enemy? Tech.9.1-2 (1986), pp. 5–18. [46] FERC. A national assessment of09-demand-response.pdf. [47] FERC. National action plan on

Mathieu, Johanna L.

2013-01-01T23:59:59.000Z

389

Designing a Demand Response Business Network for California  

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

Designing a Demand Response Business Network for California Speaker(s): Ali Vojdani Date: March 8, 2005 - 12:00pm Location: Bldg. 90 The Demand Response Business Network (DRBizNet)...

390

A National Forum on Demand Response: Results on What Remains...  

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

A National Forum on Demand Response: Results on What Remains to Be Done to Achieve Its Potential - Tools and Methods Working Group A National Forum on Demand Response: Results on...

391

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 1: Statewide Electricity forecast is the combined product of the hard work and expertise of numerous staff members in the Demand the commercial sector forecast. Mehrzad Soltani Nia helped prepare the industrial forecast. Miguel Garcia

392

A National Forum on Demand Response: Results on What Remains to Be Done to  

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

A National Forum on Demand Response: Results on What Remains to Be A National Forum on Demand Response: Results on What Remains to Be Done to Achieve Its Potential - Tools and Methods Working Group A National Forum on Demand Response: Results on What Remains to Be Done to Achieve Its Potential - Tools and Methods Working Group In July 2011, the Federal Energy Regulatory Commission's (FERC) staff and the Department of Energy (DOE) jointly submitted to Congress a required "Implementation Proposal for the National Action Plan on Demand Response." The Implementation Proposal was for FERC's June 2010 National Action Plan for Demand Response. Part of the July 2011 Implementation Proposal called for a "National Forum" on demand response to be conducted by DOE and FERC. Given the rapid development of the demand response industry, DOE and FERC decided

393

Demand response : Daylighting The New York Times Building  

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

Demand response Overview The architectural approach The owner's approach Daylighting field study Daylighting control systems Automated roller shades Procurement specifications...

394

Transportation Demand Management (TDM) Encyclopedia | Open Energy  

Open Energy Info (EERE)

Transportation Demand Management (TDM) Encyclopedia Transportation Demand Management (TDM) Encyclopedia Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Transportation Demand Management (TDM) Encyclopedia Agency/Company /Organization: Victoria Transport Policy Institute Sector: Energy Focus Area: Transportation Topics: Implementation Resource Type: Guide/manual Website: www.vtpi.org/tdm/tdm12.htm Cost: Free Language: English References: Victoria Transport Policy Institute[1] "The Online TDM Encyclopedia is the world's most comprehensive information resource concerning innovative transportation management strategies. It describes dozens of Transportation Demand Management (TDM) strategies and contains information on TDM planning, evaluation and implementation. It has thousands of hyperlinks that provide instant access

395

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

396

Demand Response Screening Assessment Tool Version 1.0  

Science Conference Proceedings (OSTI)

The Demand Response Screeing Tool for Distribution Planners identifies opportunities for using demand response as a distribution resource. It serves as a screening tool to assist distribution planners to ascertain situations where demand response may be a cost45effective alternative to making distribution system asset investments. WindowsXP, Excel (MS Office 2003)

2010-12-06T23:59:59.000Z

397

Retail Demand Response in Southwest Power Pool  

SciTech Connect

In 2007, the Southwest Power Pool (SPP) formed the Customer Response Task Force (CRTF) to identify barriers to deploying demand response (DR) resources in wholesale markets and develop policies to overcome these barriers. One of the initiatives of this Task Force was to develop more detailed information on existing retail DR programs and dynamic pricing tariffs, program rules, and utility operating practices. This report describes the results of a comprehensive survey conducted by LBNL in support of the Customer Response Task Force and discusses policy implications for integrating legacy retail DR programs and dynamic pricing tariffs into wholesale markets in the SPP region. LBNL conducted a detailed survey of existing DR programs and dynamic pricing tariffs administered by SPP's member utilities. Survey respondents were asked to provide information on advance notice requirements to customers, operational triggers used to call events (e.g. system emergencies, market conditions, local emergencies), use of these DR resources to meet planning reserves requirements, DR resource availability (e.g. seasonal, annual), participant incentive structures, and monitoring and verification (M&V) protocols. Nearly all of the 30 load-serving entities in SPP responded to the survey. Of this group, fourteen SPP member utilities administer 36 DR programs, five dynamic pricing tariffs, and six voluntary customer response initiatives. These existing DR programs and dynamic pricing tariffs have a peak demand reduction potential of 1,552 MW. Other major findings of this study are: o About 81percent of available DR is from interruptible rate tariffs offered to large commercial and industrial customers, while direct load control (DLC) programs account for ~;;14percent. o Arkansas accounts for ~;;50percent of the DR resources in the SPP footprint; these DR resources are primarily managed by cooperatives. o Publicly-owned cooperatives accounted for 54percent of the existing DR resources among SPP members. For these entities, investment in DR is often driven by the need to reduce summer peak demand that is used to set demand charges for each distribution cooperative. o About 65-70percent of the interruptible/curtailable tariffs and DLC programs are routinely triggered based on market conditions, not just for system emergencies. Approximately, 53percent of the DR resources are available with less than two hours advance notice and 447 MW can be dispatched with less than thirty minutes notice. o Most legacy DR programs offered a reservation payment ($/kW) for participation; incentive payment levels ranged from $0.40 to $8.30/kW-month for interruptible rate tariffs and $0.30 to $4.60/kW-month for DLC programs. A few interruptible programs offered incentive payments which were explicitly linkedto actual load reductions during events; payments ranged from 2 to 40 cents/kWh for load curtailed.

Bharvirkar, Ranjit; Heffner, Grayson; Goldman, Charles

2009-01-30T23:59:59.000Z

398

A residential energy demand system for Spain  

E-Print Network (OSTI)

Sharp price fluctuations and increasing environmental and distributional concerns, among other issues, have led to a renewed academic interest in energy demand. In this paper we estimate, for the first time in Spain, an ...

Labandeira Villot, Xavier

2005-01-01T23:59:59.000Z

399

Effects of Demand Response on Retail and Wholesale Power Markets  

Science Conference Proceedings (OSTI)

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

Chassin, David P.; Kalsi, Karanjit

2012-07-26T23:59:59.000Z

400

Coordination of Retail Demand Response with Midwest ISO Markets  

E-Print Network (OSTI)

information also suggests that many LSEs provide "price-sensitive demand bids" in MISO day-ahead energy markets

Bharvirkar, Ranjit

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

BRYAN LOVELL Energy supply, demand and impact  

E-Print Network (OSTI)

BRYAN LOVELL Energy supply, demand and impact Now it is Britain's turn to think harder, says Brian both are true. Most predict that fossil fuels must remain a significant part of our energy supply, Britain has had a comfortable and profitable respite from anxieties about security of energy supply. Now

Cambridge, University of

402

2010 Assessment of Demand Response and Advanced Metering - Staff Report  

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

2010 Assessment of Demand Response and Advanced Metering Staff Report Federal Energy Regulatory Commission February 2011 The opinions and views expressed in this staff report do not necessarily represent those of the Federal Energy Regulatory Commission, its Chairman, or individual Commissioners, and are not binding on the Commission. ACKNOWLEDGEMENTS Federal Energy Regulatory Commission Staff Team Dean Wight, Team Lead Caroline Daly David Kathan Michael P. Lee Kamaria Martin Pamela Silberstein Michael Tita Rebecca Vertes Z, INC. Team Bryan Templeton (Z, INC.) Valerie Richardson (KEMA) Will Gifford (KEMA) Christopher Elsner (Z, INC.) Matthew S. Pettit (KEMA) Geoff Barker (KEMA) Ron Chebra (KEMA) TABLE OF CONTENTS Executive Summary

403

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

404

Two market models for demand response in power networks  

E-Print Network (OSTI)

Abstract — In this paper, we consider two abstract market models for designing demand response to match power supply and shape power demand, respectively. We characterize the resulting equilibria in competitive as well as oligopolistic markets, and propose distributed demand response algorithms to achieve the equilibria. The models serve as a starting point to include the appliance-level details and constraints for designing practical demand response schemes for smart power grids. I.

Lijun Chen; Na Li; Steven H. Low; John C. Doyle

2010-01-01T23:59:59.000Z

405

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

E-Print Network (OSTI)

step is to calculate energy service demand in each category,mainly determine the energy service demand while pricesthe energy source. In both energy service demand and energy

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

406

Assessment of Achievable Potential from Energy Efficiency and Demand  

Open Energy Info (EERE)

Assessment of Achievable Potential from Energy Efficiency and Demand Assessment of Achievable Potential from Energy Efficiency and Demand Response Programs in the United States (U.S.) (2010-2030) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Assessment of Achievable Potential from Energy Efficiency and Demand Response Programs in the United States (U.S.) (2010-2030) Focus Area: Energy Efficiency, - Utility Topics: Policy Impacts Website: www.edisonfoundation.net/IEE/Documents/EPRI_AssessmentAchievableEEPote Equivalent URI: cleanenergysolutions.org/content/assessment-achievable-potential-energ Language: English Policies: Regulations Regulations: Mandates/Targets This report discusses the 2008 U.S. Energy Information Administration statistic that electricity consumption in the United States is predicted to

407

TY CONF T1 Automated Price and Demand Response Demonstration for Large Customers  

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

Automated Price and Demand Response Demonstration for Large Customers Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR T2 International Conference for Enhanced Building Operations ICEBO A1 Joyce Jihyun Kim A1 Rongxin Yin A1 Sila Kiliccote AB p class p1 Open Automated Demand Response OpenADR an XML based information exchange model is used to facilitate continuous price responsive operation and demand response participation for large commercial buildings in New York who are subject to the default day ahead hourly pricing We summarize the existing demand response programs in New York and discuss OpenADR communication prioritization of demand response signals and control methods Building energy simulation models are developed and field tests are conducted to evaluate continuous energy management

408

Mass Market Demand Response and Variable Generation Integration Issues: A  

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

Mass Market Demand Response and Variable Generation Integration Issues: A Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study Title Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study Publication Type Report Refereed Designation Unknown Year of Publication 2011 Authors Cappers, Peter, Andrew D. Mills, Charles A. Goldman, Ryan H. Wiser, and Joseph H. Eto Pagination 76 Date Published 10/2011 Publisher LBNL City Berkeley Keywords demand response, electricity markets and policy group, energy analysis and environmental impacts department, renewable generation integration, smart grid Abstract The penetration of renewable generation technology (e.g., wind, solar) is expected to dramatically increase in the United States during the coming years as many states are implementing policies to expand this sector through regulation and/or legislation. It is widely understood, though, that large scale deployment of certain renewable energy sources, namely wind and solar, poses system integration challenges because of its variable and often times unpredictable production characteristics (NERC, 2009). Strategies that rely on existing thermal generation resources and improved wind and solar energy production forecasts to manage this variability are currently employed by bulk power system operators, although a host of additional options are envisioned for the near future. Demand response (DR), when properly designed, could be a viable resource for managing many of the system balancing issues associated with integrating large-scale variable generation (VG) resources (NERC, 2009). However, demand-side options would need to compete against strategies already in use or contemplated for the future to integrate larger volumes of wind and solar generation resources. Proponents of smart grid (of which Advanced Metering Infrastructure or AMI is an integral component) assert that the technologies associated with this new investment can facilitate synergies and linkages between demand-side management and bulk power system needs. For example, smart grid proponents assert that system-wide implementation of advanced metering to mass market customers (i.e., residential and small commercial customers) as part of a smart grid deployment enables a significant increase in demand response capability.1 Specifically, the implementation of AMI allows electricity consumption information to be captured, stored and utilized at a highly granular level (e.g., 15-60 minute intervals in most cases) and provides an opportunity for utilities and public policymakers to more fully engage electricity customers in better managing their own usage through time-based rates and near-real time feedback to customers on their usage patterns while also potentially improving the management of the bulk power system. At present, development of time-based rates and demand response programs and the installation of variable generation resources are moving forward largely independent of each other in state and regional regulatory and policy forums and without much regard to the complementary nature of their operational characteristics.2 By 2020, the electric power sector is expected to add ~65 million advanced meters3 (which would reach ~47% of U.S. households) as part of smart grid and AMI4 deployments (IEE, 2010) and add ~40-80 GW of wind and solar capacity (EIA, 2010). Thus, in this scoping study, we focus on a key question posed by policymakers: what role can the smart grid (and its associated enabling technology) play over the next 5-10 years in helping to integrate greater penetration of variable generation resources by providing mass market customers with greater access to demand response opportunities? There is a well-established body of research that examines variable generation integration issues as well as demand response potential, but the nexus between the two has been somewhat neglected by the industry. The studies that have been conducted are informative concerning what could be accomplished with strong broad-based support for the expansion of demand response opportunities, but typically do not discuss the many barriers that stand in the way of reaching this potential. This study examines how demand side resources could be used to integrate wind and solar resources in the bulk power system, identifies barriers that currently limit the use of demand side strategies, and suggests several factors that should be considered in assessing alternative strategies that can be employed to integrate wind and solar resources in the bulk power system. It is difficult to properly gauge the role that DR could play in managing VG integration issues in the near future without acknowledging and understanding the entities and institutions that govern the interactions between variable generation and mass market customers (see Figure ES-1). Retail entities, like load-serving entities (LSE) and aggregators of retail customers (ARC), harness the demand response opportunities of mass market customers through tariffs (and DR programs) that are approved by state regulatory agencies or local governing entities (in the case of public power). The changes in electricity consumption induced by DR as well as the changes in electricity production due to the variable nature of wind and solar generation technologies is jointly managed by bulk power system operators. Bulk power system operators function under tariffs approved by the Federal Energy Regulatory Commission (FERC) and must operate their systems in accordance with rules set by regional reliability councils. These reliability rules are derived from enforceable standards that are set by the North American Electric Reliability Corporation (NERC) and approved by federal regulators. Thus, the role that DR can play in managing VG integration issues is contingent on what opportunities state and local regulators are willing to approve and how customers' response to the DR opportunities can be integrated into the bulk power system both electrically (due to reliability rules) and financially (due to market rules).

409

Northwest Open Automated Demand Response Technology Demonstration...  

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

morning and summer afternoon peak electricity demand in commercial buildings the Seattle area. LBNL performed this demonstration for the Bonneville Power Administration (BPA)...

410

Home Network Technologies and Automating Demand Response  

E-Print Network (OSTI)

networks_in_the_home_the_new_growth_market.htm [12] NationalHome Network Technologies and Automating Demand Responsethe University of California. Home Network Technologies and

McParland, Charles

2010-01-01T23:59:59.000Z

411

Option Value of Electricity Demand Response  

E-Print Network (OSTI)

energy markets. References Aniti, L. , 2002, Energy InformationEnergy Information Administration Energy Management Control Systems Electricity Market

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

2005-01-01T23:59:59.000Z

412

Behavioral Aspects in Simulating the Future US Building Energy Demand  

E-Print Network (OSTI)

off- site energy demand (2030) 20% decrease to parameter 20%off-site energy demand (2030) 20% decrease to parameter 20%off-site energy demand (2030) 20% decrease to parameter 20%

Stadler, Michael

2011-01-01T23:59:59.000Z

413

Laboratory Testing of Demand-Response Enabled Household Appliances  

SciTech Connect

With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond to demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses.The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.

Sparn, B.; Jin, X.; Earle, L.

2013-10-01T23:59:59.000Z

414

Transportation Energy: Supply, Demand and the Future  

E-Print Network (OSTI)

Transportation Energy: Supply, Demand and the Future http://www.uwm.edu/Dept/CUTS//2050/energy05.pdf Edward Beimborn Center for Urban Transportation Studies University of Wisconsin-Milwaukee Presentation to the District IV Conference Institute of Transportation Engineers June, 2005, updated September

Saldin, Dilano

415

Energy Demand (released in AEO2010)  

Reports and Publications (EIA)

Growth in U.S. energy use is linked to population growth through increases in demand for housing, commercial floorspace, transportation, manufacturing, and services. This affects not only the level of energy use, but also the mix of fuels and consumption by sector.

Information Center

2010-05-11T23:59:59.000Z

416

Letters: Energy demand prediction using GMDH networks  

Science Conference Proceedings (OSTI)

The electric power industry is in transition as it moves towards a competitive and deregulated environment. In this emerging market, traditional electric utilities as well as energy traders, power pools and independent system operators (ISOs) need the ... Keywords: Artificial neural networks, Energy demand, Forecasting, Group method of data handling (GMDH) networks, Self-organizing networks

Dipti Srinivasan

2008-12-01T23:59:59.000Z

417

Demand Response (transactional control) - Energy ...  

... periods for smart electric appliances and devices based on consumer preferences and real-time pricing signals from the electric ... Analysis Elect ...

418

Demand Response and Storage Integration Study: Markets Report Overview  

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

Andy Satchwell Andy Satchwell Scientific Engineering Associate Lawrence Berkeley National Laboratory National Association of Regulatory Utility Commissioners, ER&E Committee Meeting, July 24, 2012 Portland, OR Tools and Methods Working Group Energy Analysis and Environmental Impacts Department Outline of Presentation  Introduction and background: DR Estimation Tools and Methods Working Group  Working group members  Work plan  Identification of estimation tools and methods needs  Preliminary gap analysis  Next steps 2 Energy Analysis and Environmental Impacts Department Introduction and Background  Tools and techniques have been developed to help characterize demand response (DR) resources  Given diversity in types of DR programs and relative

419

Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study  

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

Mass Market Demand Response and Mass Market Demand Response and Mass Market Demand Response and Mass Market Demand Response and Variable Generation Integration Issues: Variable Generation Integration Issues: Variable Generation Integration Issues: Variable Generation Integration Issues: A Scoping Study A Scoping Study Peter Cappers, Andrew Mills, Charles Goldman, Ryan Wiser, Joseph H. Eto Report Summary October 2011 Energy Analysis Department  Electricity Markets and Policy Group 1 1 Presentation Overview Presentation Overview  Objectives and Approach  Variable Generation Resources and the Bulk Power System  Demand Response Opportunities  Demand Response as a Strategy to Integrate p gy g Variable Generation Resources  Comparison of Various Strategies to Integrate Variable Generation  Conclusions Energy Analysis Department  Electricity Markets and Policy Group

420

A National Forum on Demand Response: Results on What Remains to Be Done to  

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

A National Forum on Demand Response: Results on What Remains to Be A National Forum on Demand Response: Results on What Remains to Be Done to Achieve Its Potential - Program Design and Implementation Working Group A National Forum on Demand Response: Results on What Remains to Be Done to Achieve Its Potential - Program Design and Implementation Working Group In July 2011, the Federal Energy Regulatory Commission's (FERC) staff and the Department of Energy (DOE) jointly submitted to Congress a required "Implementation Proposal for the National Action Plan on Demand Response." The Implementation Proposal was for FERC's June 2010 National Action Plan for Demand Response. Part of the July 2011 Implementation Proposal called for a "National Forum" on demand response to be conducted by DOE and FERC. Given the

Note: This page contains sample records for the topic "demand response energy" 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

Demand Response Enabling Technologies and Approaches for Industrial Facilities  

E-Print Network (OSTI)

There are numerous programs sponsored by Independent System Operators (ISOs) and utility or state efficiency programs that have an objective of reducing peak demand. Most of these programs have targeted the residential and commercial sector, however, there are also huge opportunities for demand response in the industrial sector. This paper describes some of the demand response initiatives that are currently active in New York State, explaining applicability of industrial facilities. Next, we discuss demand response-enabling technologies, which can help an industrial plant effectively address demand response needs. Finally, the paper is concluded with a discussion of case study projects that illustrate application of some of these demand response enabling technologies for process operations. These case studies, illustrating some key projects from the NYSERDA Peak Load Reduction program, will describe the technologies and approaches deployed to achieve the demand reduction at the site, the quantitative impact of the project, and a discussion of the overall successes at each site.

Epstein, G.; D'Antonio, M.; Schmidt, C.; Seryak, J.; Smith, C.

2005-01-01T23:59:59.000Z

422

Energy Demands and Efficiency Strategies in Data Center Buildings  

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

Energy Demands and Efficiency Strategies in Data Center Buildings Title Energy Demands and Efficiency Strategies in Data Center Buildings Publication Type Thesis Year of...

423

South Korea-ANL Distributed Energy Resources and Demand Side...  

Open Energy Info (EERE)

Korea-ANL Distributed Energy Resources and Demand Side Management Jump to: navigation, search Name Distributed Energy Resources and Demand Side Management in South Korea Agency...

424

EIA - Annual Energy Outlook 2009 - Energy Demand  

Gasoline and Diesel Fuel Update (EIA)

demand for renewable fuels increasing the fastestincluding E85 and biodiesel fuels for light-duty vehicles, biomass for co-firing at coal-fired electric power plants, and...

425

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

E-Print Network (OSTI)

Demand (RT- Demand), Real-Time Price (RT-Price) and Day-to reduce load in real-time when a specific price point iscloser to real-time when energy market prices rose above a

Cappers, Peter

2009-01-01T23:59:59.000Z

426

Managing Energy Demand With Standards and Information  

NLE Websites -- All DOE Office Websites (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

427

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

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

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.

428

California Energy Demand Scenario Projections to 2050  

E-Print Network (OSTI)

Natural Gas Demands..xi Annual natural gas demand for each alternativeused in natural gas demand projections. 34

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

2008-01-01T23:59:59.000Z

429

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

E-Print Network (OSTI)

energy commodity risk (e.g. gas markets) • Attendance at training workshops • Technical audits or information •information and improved methods that would support more reliable demand response market assessments. Energy

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

2007-01-01T23:59:59.000Z

430

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

4.2. Energy The California Energy Commission has analyzedmandate to reduce California's energy consumption. Over theEnd Use Surveys, California Energy Commission, 2002 [vi

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

431

California Energy Demand Scenario Projections to 2050  

E-Print Network (OSTI)

Minimum demand and Maximum demand incorporate assumptionslevels, or very minor Maximum demand household size, growthvehicles in Increasing Maximum demand 23 mpg truck share

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

2008-01-01T23:59:59.000Z

432

Opportunities for Automated Demand Response in Wastewater Treatment  

NLE Websites -- All DOE Office Websites (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.

433

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

SciTech Connect

Demand response is increasingly recognized as an essentialingredient to well functioning electricity markets. This growingconsensus was formalized in the Energy Policy Act of 2005 (EPACT), whichestablished demand response as an official policy of the U.S. government,and directed states (and their electric utilities) to considerimplementing demand response, with a particular focus on "price-based"mechanisms. The resulting deliberations, along with a variety of stateand regional demand response initiatives, are raising important policyquestions: for example, How much demand response is enough? How much isavailable? From what sources? At what cost? The purpose of this scopingstudy is to examine analytical techniques and data sources to supportdemand response market assessments that can, in turn, answer the secondand third of these questions. We focus on demand response for large(>350 kW), commercial and industrial (C&I) customers, althoughmany of the concepts could equally be applied to similar programs andtariffs for small commercial and residential customers.

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

2007-01-01T23:59:59.000Z

434

A Proposed Framework for a Demand Response Product Database  

Science Conference Proceedings (OSTI)

Demand response is now widely recognized as an essential feature of well-functioning wholesale and retail electricity markets. Some utilities have had dynamic pricing plans (a form of demand response) underway for many years. All major wholesale electricity markets in the United States have demand response programs today. Despite this experience, it is difficult to learn from the programs that have been implemented due to a lack of a consistent framework for comparing their major design features (includi...

2008-12-22T23:59:59.000Z

435

AMI and Demand Response Evaluator, Version 2.0  

Science Conference Proceedings (OSTI)

The AMI and Demand Response Evaluator software, Version 2.0, permits a utility to discover the possible functions of an advanced metering infrastructure (AMI) or demand response (DR) system, and to determine the benefits and requirements arising from selecting particular functions. The tool also enables a utility to evaluate various communications technologies that may be appropriate for implementing such an AMI or DR system. Description AMI and Demand Response Evaluator is a Microsoft® Access databa...

2008-10-16T23:59:59.000Z

436

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

Research Energy Systems Integration What follows is thecontributes to the Energy Systems Integration Program. For

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

437

Integration of Renewables Via Demand Management: Highly Dispatchable and Distributed Demand Response for the Integration of Distributed Generation  

Science Conference Proceedings (OSTI)

GENI Project: AutoGrid, in conjunction with Lawrence Berkeley National Laboratory and Columbia University, will design and demonstrate automated control software that helps manage real-time demand for energy across the electric grid. Known as the Demand Response Optimization and Management System - Real-Time (DROMS-RT), the software will enable personalized price signal to be sent to millions of customers in extremely short timeframes—incentivizing them to alter their electricity use in response to grid conditions. This will help grid operators better manage unpredictable demand and supply fluctuations in short time-scales —making the power generation process more efficient and cost effective for both suppliers and consumers. DROMS-RT is expected to provide a 90% reduction in the cost of operating demand response and dynamic pricing Projects in the U.S.

None

2012-02-11T23:59:59.000Z

438

Demand Response and Storage Integration Study: Markets Report...  

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

and Background Tools and techniques have been developed to help characterize demand response (DR) resources Given diversity in types of DR programs and relative...

439

Field Testing of Automated Demand Response for Integration of...  

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

Field Testing of Automated Demand Response for Integration of Renewable Resources in California's Ancillary Services Market for Regulation Products Title Field Testing of Automated...

440

A National Forum on Demand Response: Results on What Remains...  

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

Measurement and Verification Working Group A National Forum on Demand Response: Results on What Remains to Be Done to Achieve Its Potential - Measurement and Verification Working...

Note: This page contains sample records for the topic "demand response energy" 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 & Smart Grid - State Legislative and Regulatory...  

Open Energy Info (EERE)

Page Edit with form History Facebook icon Twitter icon Demand Response & Smart Grid - State Legislative and Regulatory Policy Actions: October 2008 to May 2010 Jump to:...

442

A National Forum on Demand Response: Results on What Remains...  

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

Program Design and Implementation Working Group A National Forum on Demand Response: Results on What Remains to Be Done to Achieve Its Potential - Program Design and Implementation...

443

The Role of Enabling Technologies in Demand Response  

Science Conference Proceedings (OSTI)

The report provides a study of the technologies that are crucial to the success of demand response programs. It takes a look at the historical development of demand response programs and analyzes how new technology is needed to enable demand response to make the transition from a small scale pilot operation to a mass market means of improving grid reliability. Additionally, the report discusses the key technologies needed to enable a large scale demand response effort and evaluates current efforts to develop and integrate these technologies. Finally, the report provides profiles of leading developers of these key technologies.

NONE

2007-09-15T23:59:59.000Z

444

Demand response can lower electric power load when needed - Today ...  

U.S. Energy Information Administration (EIA)

February 15, 2011 Demand response can lower electric power load when needed . Consumers can play a major role in ensuring reliable electricity supply by reducing ...

445

An Integrated Architecture for Demand Response Communications and Control  

E-Print Network (OSTI)

and produced a maximum demand reduction Proceedings of the 41st Hawaii International Conference on SystemAn Integrated Architecture for Demand Response Communications and Control Michael LeMay, Rajesh,gross,cgunter}@uiuc.edu Abstract In the competitive electricity structure, demand re- sponse programs

Gross, George

446

Development and evaluation of fully automated demand response in large facilities  

E-Print Network (OSTI)

Development for Demand Response Calculation - Findings and2003. “Dividends with Demand Response. ” ASHRAE Journal,Management and Demand Response in Commercial Buildings. ”

Piette, Mary Ann; Sezgen, Osman; Watson, David S.; Motegi, Naoya; Shockman, Christine; ten Hope, Laurie

2004-01-01T23:59:59.000Z

447

Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study  

E-Print Network (OSTI)

Goldman, G. (2009) Retail demand response in Southwest PowerCoordination of retail demand response with Midwest ISO2010. 110 pages. Demand Response and Variable Generation

Cappers, Peter

2012-01-01T23:59:59.000Z

448

California DREAMing: the design of residential demand responsive technology with people in mind  

E-Print Network (OSTI)

Efficiency and Demand Response Programs for 2005/2006. fromEngaging our Customers in Demand Response. Retrieved OctoberAdvanced Metering and Demand Response in Electricity

Peffer, Therese E.

2009-01-01T23:59:59.000Z

449

Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings  

E-Print Network (OSTI)

below. Fig. 4 Automated demand response general features Thearchitecture Automated Demand Response System ArchitectureCould Bene?t for Demand Response Programs, But Challenges

Piette, Mary Ann

2010-01-01T23:59:59.000Z

450

2008-2010 Research Summary: Analysis of Demand Response Opportunities in California Industry  

E-Print Network (OSTI)

K.C. Mares, D. Shroyer. 2010. Demand Response andOpen Automated Demand Response Opportunities for Dataand the Role of Automated Demand Response. Lawrence Berkeley

Goli, Sasank

2013-01-01T23:59:59.000Z

451

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

452

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

453

Unlocking the potential for efficiency and demand response through advanced metering  

E-Print Network (OSTI)

Advanced Metering, Demand Response, and Dynamic Pricing. ”for Efficiency and Demand Response through Advanced Meteringenergy efficiency and demand response programs. Without

Levy, Roger; Herter, Karen; Wilson, John

2004-01-01T23:59:59.000Z

454

When it comes to Demand Response, is FERC its Own Worst Enemy?  

E-Print Network (OSTI)

made between traditional demand response (DR) programs andpricing. Traditional demand response programs typically payFor overviews of demand response technologies and program

Bushnell, James; Hobbs, Benjamin; Wolak, Frank A.

2009-01-01T23:59:59.000Z

455

Automation of Capacity Bidding with an Aggregator Using Open Automated Demand Response  

E-Print Network (OSTI)

S.  Kiliccote.   Estimating Demand Response Load  Impacts: in California.   Demand Response Research Center, Lawrence and Techniques for Demand Response.  LBNL Report 59975.  

Kiliccote, Sila

2011-01-01T23:59:59.000Z

456

Fast Automated Demand Response to Enable the Integration of Renewable Resources  

E-Print Network (OSTI)

Consulting), and Dave Shroyer (SCG). Demand Response andOpen Automated Demand Response Opportunities for DataIAW Research Team, Demand Response Research Center, Lawrence

Watson, David S.

2013-01-01T23:59:59.000Z

457

Field Test Results of Automated Demand Response in a Large Office Building  

E-Print Network (OSTI)

and Techniques for Demand Response, LBNL-59975, May 2007 [Protocol Development for Demand Response Calculation – Findsand S. Kiliccote, Estimating Demand Response Load Impacts:

Han, Junqiao

2008-01-01T23:59:59.000Z

458

Findings from Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings  

E-Print Network (OSTI)

Open Automated Demand Response Demonstration Project” LBNL-2009a). “Open Automated Demand Response Communications inand Actions for Industrial Demand Response in California. ”

Kiliccote, Sila

2010-01-01T23:59:59.000Z

459

Design and Implementation of an Open, Interoperable Automated Demand Response Infrastructure  

E-Print Network (OSTI)

of Fully Automated Demand Response in Large Facilities. CEC-Fully Automated Demand Response Tests in Large Facilities.Management and Demand Response in Commercial Building. ,

Piette, Mary Ann; Kiliccote, Sila; Ghatikar, Girish

2008-01-01T23:59:59.000Z

460

What China Can Learn from International Experiences in Developing a Demand Response Program  

E-Print Network (OSTI)

K.C. Mares, D. Shroyer. , 2010. Demand Response andOpen Automated Demand Response Opportunities for DataProcessing Industry Demand Response Participation: A Scoping

Shen, Bo

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

Small Business Demand Response with Communicating Thermostats: SMUD's Summer Solutions Research Pilot  

E-Print Network (OSTI)

Martin Aspen. 2006. Demand Response Enabling TechnologiesDon. 2007. “Pricing for Demand Response from Residential andthe Level of Demand Response,” Power Point Presentation, 24

Herter, Karen

2010-01-01T23:59:59.000Z

462

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

E-Print Network (OSTI)

of Program Participation Rates on Demand Response MarketTable 3-1. Methods of Estimating Demand Response PenetrationDemand Response

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

2007-01-01T23:59:59.000Z

463

Intelligent Commercial Lighting: Demand-Responsive Conditioning and Increased User Satisfaction  

E-Print Network (OSTI)

algorithm. The preferred demand response strategy was foundimplements the specific demand response policy chosen by theload shedding and demand response, a literature review of

Agogino, Alice M.

2005-01-01T23:59:59.000Z

464

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network (OSTI)

Advanced Metering, and Demand Response in Electricity2006. Benefits of Demand Response in Electricity Markets and2010. Open Automated Demand Response Technologies for

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

465

Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid  

E-Print Network (OSTI)

for Automated Demand Response in Commercial Buildings. ” In2010. “Open Automated Demand Response Dynamic Pricing2009. “Open Automated Demand Response Communications

Ghatikar, Girish

2010-01-01T23:59:59.000Z

466

Demand Response Opportunities in Industrial Refrigerated Warehouses in  

NLE Websites -- All DOE Office Websites (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

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

Figure 9: Lighting Energy Usage for Commercial Buildinghas analyzed lighting energy usage across different buildings La Figure 9: Lighting Energy Usage for Commercial Building

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

468

Option Value of Electricity Demand Response  

E-Print Network (OSTI)

markets deregulate and energy tariffs increasingly exposereal-time energy markets either through RTP tariffs or DRtariff, the payoff is the savings for not consuming the energy

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

2005-01-01T23:59:59.000Z

469

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

2003 Data] Figure 9: Lighting Energy Usage for Commercialhas analyzed lighting energy usage across different buildings La Figure 9: Lighting Energy Usage for Commercial Building

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

470

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

in commercial buildings often waste energy and unnecessarilyin commercial buildings often waste energy and unnecessarilyof HVAC. 6.1.2. Lighting wastes energy and unnecessarily

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

471

Installation and Commissioning Automated Demand Response Systems  

E-Print Network (OSTI)

Information System or Energy Management System (EMCS) so aimplementation in energy management systems. This effort isTC): Trained energy management control system vendors were

Kiliccote, Sila; Global Energy Partners; Pacific Gas and Electric Company

2008-01-01T23:59:59.000Z

472

Demand Responsive Lighting: A Scoping Study  

E-Print Network (OSTI)

Wireless Energy Management System __________________________connected to energy management systems that are relativelyThe GE Wireless Energy Management system was installed in LA

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

473

Demand Response in the West: Lessons for States and Provinces  

SciTech Connect

OAK-B135 This paper is submitted in fulfillment of DOE Grant No. DE-FG03-015F22369 on the experience of western states/provinces with demand response (DR) in the electricity sector. Demand-side resources are often overlooked as a viable option for meeting load growth and addressing the challenges posed by the region's aging transmission system. Western states should work together with utilities and grid operators to facilitate the further deployment of DR programs which can provide benefits in the form of decreased grid congestion, improved system reliability, market efficiency, price stabilization, hedging against volatile fuel prices and reduced environmental impacts of energy production. This report describes the various types of DR programs; provides a survey of DR programs currently in place in the West; considers the benefits, drawbacks and barriers to DR; and presents lessons learned and recommendations for states/provinces.

Douglas C. Larson; Matt Lowry; Sharon Irwin

2004-06-29T23:59:59.000Z

474

Option Value of Electricity Demand Response  

E-Print Network (OSTI)

Duke Power d FirstEnergy Georgia Power Niagara Mohawk Pacific Gas & Electric Pennsylvania Power & Light Progress Energy

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

2005-01-01T23:59:59.000Z

475

Impact of improved building thermal efficiency on residential energy demand  

SciTech Connect

The impact of improved building shell thermal efficiency on residential energy demand is explored in a theoretical framework. The important economic literature on estimating the price elasticity of residential energy demand is reviewed. The specification of the residential energy demand model is presented. The data used are described. The empirical estimation of the residential energy demand model is described. (MHR)

Adams, R.C.; Rockwood, A.D.

1983-04-01T23:59:59.000Z

476

Demand Response Programs Oregon Public Utility Commission  

E-Print Network (OSTI)

(at 97 deg. F) #12;Cool Keeper Unit Installation #12;Cool Keeper Test Shed Load Profile 3350 3400 3450 operating according to their 'Natural Duty Cycle' 93 o F Expected load profile w/o Cool Keeper intervention, Demand Side Management #12;Current Programs/Tariffs ­ Load Control Programs Cool Keeper, Utah (currently

477

Demand responsive public transportation using wireless technologies  

Science Conference Proceedings (OSTI)

Air pollution has been the bane of society for which we still have not got a satisfying solution. The air pollution due to automobiles constitutes around 60--90% of the total air pollution in the urban area. To curtail this, the mass transportation, ... Keywords: Djiktra's algorithm, on-demand public transportation, routing algorithms, wireless client-server backbone

S. Prashanth; Sp Geetha; Ga Shanmugha Sundaram

2011-12-01T23:59:59.000Z

478

Demand Management Institute (DMI) | Open Energy Information  

Open Energy Info (EERE)

Demand Management Institute (DMI) Demand Management Institute (DMI) Jump to: navigation, search Name Demand Management Institute (DMI) Address 35 Walnut Street Place Wellesley, Massachusetts Zip 02481 Sector Buildings Product Provides analysis for buildings on reducing energy use Website http://www.dmiinc.com/ Coordinates 42.3256508°, -71.2530294° 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":42.3256508,"lon":-71.2530294,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

479

Building Energy Software Tools Directory: Energy Demand Modeling  

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

Energy Demand Modeling Energy Demand Modeling The software is intended to be used for Energy Demand Modeling. This can be utilized from regional to national level. A Graphical User Interface of the software takes the input from the user in a quite logical and sequential manner. These input leads to output in two distinct form, first, it develops a Reference Energy System, which depicts the flow of energy from the source to sink with all the losses incorporated and second, it gives a MATLAB script file for advance post processing like graphs, visualization and optimizations to develop and evaluate the right energy mix policy frame work for a intended region. Keywords Reference Energy System, Software, GUI, Planning, Energy Demand Model EDM, Energy Policy Planning Validation/Testing

480

What China Can Learn from International Experiences in Developing a Demand Response Program  

E-Print Network (OSTI)

2012. Addressing Electricity Demand through Demand Response:has been driving up the electricity demand while widespreadexperiences in addressing electricity demand This section is

Shen, Bo

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand response energy" 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

Option Value of Electricity Demand Response  

E-Print Network (OSTI)

4. Option Value of a Thermal Energy Storage System for 5counter Real-time Prices Thermal Energy Storage vii Abstractfor the day, operating thermal energy storage overnight for

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

2005-01-01T23:59:59.000Z

482

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, USA Abstract--The growing environmental concerns and increasing electricity prices have led to wider implementation of demand- side activities and created a new class of consumers, called de- mand response

Gross, George

483

Demand Response Opportunities in Industrial Refrigerated Warehouses in California  

Science Conference Proceedings (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

484

Northwest Open Automated Demand Response Technology Demonstration Project  

SciTech Connect

The Lawrence Berkeley National Laboratory (LBNL) Demand Response Research Center (DRRC) demonstrated and evaluated open automated demand response (OpenADR) communication infrastructure to reduce winter morning and summer afternoon peak electricity demand in commercial buildings the Seattle area. LBNL performed this demonstration for the Bonneville Power Administration (BPA) in the Seattle City Light (SCL) service territory at five sites: Seattle Municipal Tower, Seattle University, McKinstry, and two Target stores. This report describes the process and results of the demonstration. OpenADR is an information exchange model that uses a client-server architecture to automate demand-response (DR) programs. These field tests evaluated the feasibility of deploying fully automated DR during both winter and summer peak periods. DR savings were evaluated for several building systems and control strategies. This project studied DR during hot summer afternoons and cold winter mornings, both periods when electricity demand is typically high. This is the DRRC project team's first experience using automation for year-round DR resources and evaluating the flexibility of commercial buildings end-use loads to participate in DR in dual-peaking climates. The lessons learned contribute to understanding end-use loads that are suitable for dispatch at different times of the year. The project was funded by BPA and SCL. BPA is a U.S. Department of Energy agency headquartered in Portland, Oregon and serving the Pacific Northwest. BPA operates an electricity transmission system and markets wholesale electrical power at cost from federal dams, one non-federal nuclear plant, and other non-federal hydroelectric and wind energy generation facilities. Created by the citizens of Seattle in 1902, SCL is the second-largest municipal utility in America. SCL purchases approximately 40% of its electricity and the majority of its transmission from BPA through a preference contract. SCL also provides ancillary services within its own balancing authority. The relationship between BPA and SCL creates a unique opportunity to create DR programs that address both BPA's and SCL's markets simultaneously. Although simultaneously addressing both market could significantly increase the value of DR programs for BPA, SCL, and the end user, establishing program parameters that maximize this value is challenging because of complex contractual arrangements and the absence of a central Independent System Operator or Regional Transmission Organization in the northwest.

Kiliccote, Sila; Piette, Mary Ann; Dudley, Junqiao

2010-03-17T23:59:59.000Z

485

Draft Chapter 3: Demand-Side Resources | Department of Energy  

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

Draft Chapter 3: Demand-Side Resources Draft Chapter 3: Demand-Side Resources Utilities in many states have been implementing energy efficiency and load management programs...

486

LBNL/PUB-5482 Energy Efficiency Options for the New England Demand  

E-Print Network (OSTI)

LBNL/PUB-5482 Energy Efficiency Options for the New England Demand Response Initiative (NEDRI://eetd.lbl.gov/EA/EMP/ The work described in this study was funded by the Assistance Secretary of Energy Efficiency and Renewable00098 #12;Energy Efficiency Options for the New England Demand Response Initiative (NEDRI) ­ Framing

487

A National Forum on Demand Response: Results on What Remains to Be Done to  

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

Cost-Effectiveness Working Group Cost-Effectiveness Working Group A National Forum on Demand Response: Results on What Remains to Be Done to Achieve Its Potential - Cost-Effectiveness Working Group In July 2011, the Federal Energy Regulatory Commission's (FERC) staff and the Department of Energy (DOE) jointly submitted to Congress a required "Implementation Proposal for the National Action Plan on Demand Response." The Implementation Proposal was for FERC's June 2010 National Action Plan for Demand Response. Part of the July 2011 Implementation Proposal called for a "National Forum" on demand response to be conducted by DOE and FERC. Given the rapid development of the demand response industry, DOE and FERC decided that a "virtual" project, in which state officials, industry

488

A National Forum on Demand Response: Results on What Remains to Be Done to  

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

Measurement and Verification Working Group Measurement and Verification Working Group A National Forum on Demand Response: Results on What Remains to Be Done to Achieve Its Potential - Measurement and Verification Working Group In July 2011, the Federal Energy Regulatory Commission's (FERC) staff and the Department of Energy (DOE) jointly submitted to Congress a required "Implementation Proposal for the National Action Plan on Demand Response." The Implementation Proposal was for FERC's June 2010 National Action Plan for Demand Response. Part of the July 2011 Implementation Proposal called for a "National Forum" on demand response to be conducted by DOE and FERC. Given the rapid development of the demand response industry, DOE and FERC decided that a "virtual" project, in which state officials, industry

489

Univariate Modeling and Forecasting of Monthly Energy Demand Time Series  

E-Print Network (OSTI)

in this report. #12;i ABSTRACT These electricity demand forms and instructions ask load-serving entities and Instructions for Electricity Demand Forecasts. California Energy Commission, Electricity Supply Analysis.................................................................................................................................7 Form 1 Historic and Forecast Electricity Demand

Abdel-Aal, Radwan E.

490

Summary of the 2006 Automated Demand Response Pilot  

E-Print Network (OSTI)

This paper discusses the specific concept for, design of, and results from a pilot program to automate demand response with critical peak pricing. California utilities have been exploring the use of critical peak pricing (CPP) to help reduce peak day summer time electric loads. CPP is a form of price-responsive demand response. This Automated Critical Peak Pricing (Auto-CPP) project from 2006 draws upon three years of previous research and demonstrations from the years of 2003, 2004, and 2005. The purpose of automated demand response (DR) is to improve the responsiveness and participation of electricity customers in DR programs and lower overall costs to achieve DR. Auto-CPP is a form of automated demand response (Auto-DR).

Piette, M.; Kiliccote, S.

2007-01-01T23:59:59.000Z

491

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

E-Print Network (OSTI)

Energy Outlook -A Projection up to 2030 under EnvironmentalEnergy Demand Outlook to 2030 Considering Energy EfficiencyEnergy Demand Outlook to 2030 Considering Energy Efficiency

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

492

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

E-Print Network (OSTI)

Japan Long-Term Energy Outlook -A Projection up to 2030Residential Energy Demand Outlook to 2030 Considering EnergyResidential Energy Demand Outlook to 2030 Considering Energy

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

493

Energy Demands and Efficiency Strategies in Data Center Buildings  

E-Print Network (OSTI)

DX Cooling Total Annual Energy Usage Peak Electric DemandDX Cooling Total Annual Energy Usage Scenario Supply/ ReturnDX Cooling Total Annual Energy Usage Peak Electric Demand

Shehabi, Arman

2010-01-01T23:59:59.000Z

494

Driving Demand for Home Energy Improvements  

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

Driving Demand for Home Energy Improvements Driving Demand for Home Energy Improvements Title Driving Demand for Home Energy Improvements Publication Type Report Year of Publication 2010 Authors Fuller, Merrian C., Cathy Kunkel, Mark Zimring, Ian M. Hoffman, Katie L. Soroye, and Charles A. Goldman Tertiary Authors Borgeson, Merrian Pagination 136 Date Published 09/2010 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract Policy makers and program designers in the U.S. and abroad are deeply concerned with the question of how to scale up energy efficiency to a level that is commensurate both to the energy and climate challenges we face, and to the potential for energy savings that has been touted for decades. When policy makers ask what energy efficiency can do, the answers usually revolve around the technical and economic potential of energy efficiency-they rarely hone in on the element of energy demand that matters most for changing energy usage in existing homes: the consumer. A growing literature is concerned with the behavioral underpinnings of energy consumption. We examine a narrower, related subject: How can millions of Americans be persuaded to divert valued time and resources into upgrading their homes to eliminate energy waste, avoid high utility bills, and spur the economy? With hundreds of millions of public dollars1 flowing into incentives, workforce training, and other initiatives to support comprehensive home energy improvements2, it makes sense to review the history of these programs and begin gleaning best practices for encouraging comprehensive home energy improvements. Looking across 30 years of energy efficiency programs that targeted the residential market, many of the same issues that confronted past program administrators are relevant today: How do we cost-effectively motivate customers to take action? Who can we partner with to increase program participation? How do we get residential efficiency programs to scale? While there is no proven formula-and only limited success to date with reliably motivating large numbers of Americans to invest in comprehensive home energy improvements, especially if they are being asked to pay for a majority of the improvement costs-there is a rich and varied history of experiences that new programs can draw upon. Our primary audiences are policy makers and program designers-especially those that are relatively new to the field, such as the over 2,000 towns, cities, states, and regions who are recipients of American Reinvestment and Recovery Act funds for clean energy programs. This report synthesizes lessons from first generation programs, highlights emerging best practices, and suggests methods and approaches to use in designing, implementing, and evaluating these programs. We examined 14 residential energy efficiency programs, conducted an extensive literature review, interviewed industry experts, and surveyed residential contractors to draw out these lessons.

495

Incorporating Demand Response into Western Interconnection Transmissio...  

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

side resources: policy, electricity markets, electricity markets and policy group, energy analysis and environmental impacts department Attachment Size PDF 702.25 KB Google...

496

Option Value of Electricity Demand Response  

E-Print Network (OSTI)

forward price curves in electricity markets”, Energyenergy markets tends to increase electricity system reliability, reduce pricemarkets deregulate and energy tariffs increasingly expose customers to commodity price

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

2005-01-01T23:59:59.000Z

497

Estimating Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-  

E-Print Network (OSTI)

, and the Office of Electricity Delivery and Energy Reliability, Permitting, Siting and Analysis of the ULBNL-63728 Estimating Demand Response Load Impacts: Evaluation of Baseline Load Models for Non .............................................................................................................. 9 4. Baseline Profile (BLP) Models

498

Retail Demand Response in Southwest Power Pool  

E-Print Network (OSTI)

A Number of Customers Enrolled Note: Numbers in parenthesesMW 200 MW N/A Reduction N/A Number of Eligible Customers N/Customer Pricing Tariffs Response Initiatives Entities with DR Activities Number

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

499

Modeling, Analysis, and Control of Demand Response Resources  

NLE Websites -- All DOE Office Websites (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

500

Analysis of Residential Demand Response and Double-Auction Markets  

Science Conference Proceedings (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