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Note: This page contains sample records for the topic "demand side case" 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

Marketing Demand-Side Management  

E-Print Network [OSTI]

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

O'Neill, M. L.

1988-01-01T23:59:59.000Z

2

SWITCH: Case Studies in the Demand Side Management of Washing Appliances  

Science Journals Connector (OSTI)

Abstract The emergence of viable smart home technologies together with ambitious government initiatives for smart meter rollouts will provide a rich platform on which to develop demand side management strategies that aim to modify consumer's use of energy. In this work we develop such a platform that aims to ‘SWITCH’ behaviour patterns and ‘SWITCH’ on/off energy consuming appliances when they are not needed or when they could be utilised to benefit from on-site power generation or off-peak electricity. This platform was installed in 3 occupied domestic properties that form part of the Creative Energy Homes project at the University of Nottingham, UK. A total of 6 case studies are presented that investigate the impact of shifting the time of use of washing machines and dishwashers with varying levels of user engagement. A range of issues and user perceptions of the technology are presented and discussed.

R. Shipman; M. Gillott; E. Naghiyev

2013-01-01T23:59:59.000Z

3

“Souls of the ancestor that knock us out” and other tales. A qualitative study to identify demand-side factors influencing malaria case management in Cambodia  

Science Journals Connector (OSTI)

Appropriate case management of suspected malaria in Cambodia is critical ... on Cambodian practices, aiming to understand the demand-side factors influencing treatment-seeking behaviour, including the...

Kathryn A O’Connell; Ghazaleh Samandari; Sochea Phok; Mean Phou…

2012-10-01T23:59:59.000Z

4

Demand Side Management in Rangan Banerjee  

E-Print Network [OSTI]

Demand Side Management in Industry Rangan Banerjee Talk at Baroda in Birla Corporate Seminar August 31,2007 #12;Demand Side Management Indian utilities ­ energy shortage and peak power shortage. Supply for Options ­ Demand Side Management (DSM) & Load Management #12;DSM Concept Demand Side Management (DSM) - co

Banerjee, Rangan

5

Changing Energy Demand Behavior: Potential of Demand-Side Management  

Science Journals Connector (OSTI)

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

Dr. Sylvia Breukers; Dr. Ruth Mourik…

2013-01-01T23:59:59.000Z

6

Demand Side Bidding. Final Report  

SciTech Connect (OSTI)

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

Spahn, Andrew

2003-12-31T23:59:59.000Z

7

Basic Theory of Demand-Side Management  

Science Journals Connector (OSTI)

Demand-Side Management (DSM) is pivotal in Integrated Resource ... to realize sustainable development, and advanced energy management activity. A project can be implemented only...

Zhaoguang Hu; Xinyang Han; Quan Wen

2013-01-01T23:59:59.000Z

8

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

9

Industrial demand side management status report: Synopsis  

SciTech Connect (OSTI)

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

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

1995-08-01T23:59:59.000Z

10

Real-Time Demand Side Energy Management  

E-Print Network [OSTI]

Real-Time Demand Side Energy Management Annelize Victor Michael Brodkorb Sr. Business Consultant Business Development Manager Aspen Technology, Inc. Aspen Technology España, S.A. Houston, TX Barcelona, Spain ABSTRACT To remain... competitive, manufacturers must capture opportunities to increase bottom-line profitability. The goal of this paper is to present a new methodology for reducing energy costs – “Demand-Side Energy Management.” Learn how process manufacturers assess energy...

Victor, A.; Brodkorb, M.

2006-01-01T23:59:59.000Z

11

Electric Utility Demand-Side Evaluation Methodologies  

E-Print Network [OSTI]

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

Treadway, N.

12

Industrial demand side management: A status report  

SciTech Connect (OSTI)

This report provides an overview of and rationale for industrial demand side management (DSM) programs. Benefits and barriers are described, and data from the Manufacturing Energy Consumption Survey are used to estimate potential energy savings in kilowatt hours. The report presents types and examples of programs and explores elements of successful programs. Two in-depth case studies (from Boise Cascade and Eli Lilly and Company) illustrate two types of effective DSM programs. Interviews with staff from state public utility commissions indicate the current thinking about the status and future of industrial DSM programs. A comprehensive bibliography is included, technical assistance programs are listed and described, and a methodology for evaluating potential or actual savings from projects is delineated.

Hopkins, M.F.; Conger, R.L.; Foley, T.J. [and others

1995-05-01T23:59:59.000Z

13

Demand-Side Management and Energy Efficiency Revisited  

E-Print Network [OSTI]

EPRI). 1984. ”Demand Side Management. Vol. 1:Overview of Key1993. ”Industrial Demand-Side Management Programs: What’sJ. Kulick. 2004. ”Demand side management and energy e?ciency

Auffhammer, Maximilian; Blumstein, Carl; Fowlie, Meredith

2007-01-01T23:59:59.000Z

14

BUILDINGS SECTOR DEMAND-SIDE EFFICIENCY TECHNOLOGY SUMMARIES  

E-Print Network [OSTI]

............................................................................................... 2 Demand-Side Efficiency Technologies I. Energy Management Systems (EMSsLBL-33887 UC-000 BUILDINGS SECTOR DEMAND-SIDE EFFICIENCY TECHNOLOGY SUMMARIES Jonathan G. Koomey

15

Draft Chapter 3: Demand-Side Resources | Department of Energy  

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

3: Demand-Side Resources Draft Chapter 3: Demand-Side Resources Utilities in many states have been implementing energy efficiency and load management programs (collectively called...

16

Chapter 3: Demand-Side Resources | Department of Energy  

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

: Demand-Side Resources Chapter 3: Demand-Side Resources Utilities in many states have been implementing energy efficiency and load management programs (collectively called...

17

Construction of a Demand Side Plant with Thermal Energy Storage  

E-Print Network [OSTI]

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

Michel, M.

1989-01-01T23:59:59.000Z

18

Is Demand-Side Management Economically Justified?  

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

7 7 Is Demand-Side Management Economically Justified? With billions of dollars being spent on demand-side management programs in the U.S. every year, the rationale for and performance of these programs are coming under increasing scrutiny. Three projects in the Energy Analysis Program are making significant contributions to the DSM debate. *Total Resource Cost Test Ratio = ratio of utility avoided costs (i.e., benefits) divided by total cost of program (i.e., Administrative Cost + Incentive Cost + Consumer Cost) In May, Joe Eto, Ed Vine, Leslie Shown, Chris Payne, and I released the first in a series of reports we authored from the Database on Energy Efficiency Programs (DEEP) project. The objective of DEEP is to document the measured cost and performance of utility-sponsored energy-efficiency

19

System Demand-Side Management: Regional results  

SciTech Connect (OSTI)

To improve the Bonneville Power Administration's (Bonneville's) ability to analyze the value and impacts of demand-side programs, Pacific Northwest Laboratory (PNL) developed and implemented the System Demand-Side Management (SDSM) model, a microcomputer-based model of the Pacific Northwest Public Power system. This document outlines the development and application of the SDSM model, which is an hourly model. Hourly analysis makes it possible to examine the change in marginal revenues and marginal costs that accrue from the movement of energy consumption from daytime to nighttime. It also allows a more insightful analysis of programs such as water heater control in the context of hydroelectric-based generation system. 7 refs., 10 figs., 10 tabs.

Englin, J.E.; Sands, R.D.; De Steese, J.G.; Marsh, S.J.

1990-05-01T23:59:59.000Z

20

Supply Chain Networks, Electronic Commerce, and Supply Side and Demand Side Risk  

E-Print Network [OSTI]

Supply Chain Networks, Electronic Commerce, and Supply Side and Demand Side Risk Anna Nagurney as well as demand side risk are included in the formulation. The model consists of three tiers of decision chain network equilibrium model with electronic com- merce and with supply side and demand side risk

Nagurney, Anna

Note: This page contains sample records for the topic "demand side case" 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

Research on the Demand Side Management Under Smart Grid  

Science Journals Connector (OSTI)

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

Litong Dong; Jun Xu; Haibo Liu; Ying Guo

2014-01-01T23:59:59.000Z

22

The Important Participants in Demand-Side Management: Power Consumers  

Science Journals Connector (OSTI)

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

Zhaoguang Hu; Xinyang Han; Quan Wen

2013-01-01T23:59:59.000Z

23

A Survey on Privacy in Residential Demand Side Management Applications  

Science Journals Connector (OSTI)

Demand Side Management (DSM) is an auspicious concept for ... on privacy energy issues and potential solutions in Demand Response systems. For this we give an ... the BSI and indicate three technical types of Demand

Markus Karwe; Jens Strüker

2014-01-01T23:59:59.000Z

24

Incentives for demand-side management  

SciTech Connect (OSTI)

This report is the first product of an ongoing project to monitor the efforts of states to remove regulatory barriers to, and provide financial incentives for, utility investment in demand-side management (DSM) resources. The project was commissioned by the National Association of Regulatory Utility Commissioners (NARUC) in response to growing interest among regulators for a comprehensive survey of developments in this area. Each state report beings with an overview of the state`s progress toward removing regulatory barriers and providing incentives for DSM. Information is organized under five headings: status; IRP regulations and practice; current treatment of DSM, directions and trends; commission contact person. Where applicable, each overview is followed by one or more sections that report on specific incentive proposals or mechanisms within the state. Information on each proposal or mechanism is organized under eight headings. A notation on each page identifies the utility or other group associated with the proposal or mechanism. The eight headings are as follows: status; background; treatment of cost recovery; treatment of lost revenues/decoupling; treatment of profitability; other features; issues, and additional observations.

Reid, M.W.; Brown, J.B. [Barakat and Chamberlin, Inc., Oakland, CA (United States)] [Barakat and Chamberlin, Inc., Oakland, CA (United States)

1992-01-01T23:59:59.000Z

25

Incentives for demand-side management  

SciTech Connect (OSTI)

This report is the first product of an ongoing project to monitor the efforts of states to remove regulatory barriers to, and provide financial incentives for, utility investment in demand-side management (DSM) resources. The project was commissioned by the National Association of Regulatory Utility Commissioners (NARUC) in response to growing interest among regulators for a comprehensive survey of developments in this area. Each state report beings with an overview of the state's progress toward removing regulatory barriers and providing incentives for DSM. Information is organized under five headings: status; IRP regulations and practice; current treatment of DSM, directions and trends; commission contact person. Where applicable, each overview is followed by one or more sections that report on specific incentive proposals or mechanisms within the state. Information on each proposal or mechanism is organized under eight headings. A notation on each page identifies the utility or other group associated with the proposal or mechanism. The eight headings are as follows: status; background; treatment of cost recovery; treatment of lost revenues/decoupling; treatment of profitability; other features; issues, and additional observations.

Reid, M.W.; Brown, J.B. (Barakat and Chamberlin, Inc., Oakland, CA (United States)) [Barakat and Chamberlin, Inc., Oakland, CA (United States)

1992-01-01T23:59:59.000Z

26

Load-side Demand Management in Buildings using Controlled Electric Springs  

E-Print Network [OSTI]

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

Soni, Jayantika; Krishnanand, KR; Panda, Sanjib

2014-01-01T23:59:59.000Z

27

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

Open Energy Info (EERE)

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

28

Distributed Coordination Schemes for Periodic Loads for Demand Side Management.  

E-Print Network [OSTI]

?? Demand side management (DSM) is a means to improve the energy efficiency, reduce the greenhouse gas emission, the consumers’ cost and the power grid… (more)

Xia, Tian

2011-01-01T23:59:59.000Z

29

Integration of Demand Side Management, Distributed Generation, Renewable  

Open Energy Info (EERE)

Integration of Demand Side Management, Distributed Generation, Renewable Integration of Demand Side Management, Distributed Generation, Renewable Energy Sources, and Energy Storages: State-of-the-Art Report, Volume 1, Main Report Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Integration of Demand Side Management, Distributed Generation, Renewable Energy Sources, and Energy Storages: State-of-the-Art Report, Volume 1, Main Report Focus Area: Renewable Energy Topics: Policy, Deployment, & Program Impact Website: www.ieadsm.org/Files/Tasks/Task%20XVII%20-%20Integration%20of%20Demand Equivalent URI: cleanenergysolutions.org/content/integration-demand-side-management-di Language: English Policies: Regulations Regulations: Resource Integration Planning This task of the International Energy Agency's (IEA's) Demand-Side

30

Integration of Demand Side Management, Distributed Generation...  

Open Energy Info (EERE)

States. Annex 8 provides a list of software tools for analysing various aspects of demand response, distributed generation, smart grid and energy storage. Annex 9 is a list of...

31

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

E-Print Network [OSTI]

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

Pedram, Massoud

32

Integration of Demand Side Management, Distributed Generation, Renewable  

Open Energy Info (EERE)

Integration of Demand Side Management, Distributed Generation, Renewable Integration of Demand Side Management, Distributed Generation, Renewable Energy Sources, and Energy Storages: State-of-the-Art Report, Volume 2, Annexes Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Integration of Demand Side Management, Distributed Generation, Renewable Energy Sources, and Energy Storages: State-of-the-Art Report, Volume 2, Annexes Focus Area: Renewable Energy Topics: Policy, Deployment, & Program Impact Website: www.ieadsm.org/Files/Tasks/Task%20XVII%20-%20Integration%20of%20Demand Equivalent URI: cleanenergysolutions.org/content/integration-demand-side-management-di Language: English Policies: Regulations Regulations: Resource Integration Planning This report provides Annexes 1 through 7, which are country reports from

33

Agreement for Energy Conservation and Demand Side Management Services Template  

Broader source: Energy.gov [DOE]

Document features a template agreement between a U.S. Federal agency and a utility company for the implementation of energy conservation measures (ECMs) and demand side management (DSM) services.

34

Demand Side Management in Smart Buildings Using KNX/EIB  

Science Journals Connector (OSTI)

This paper aims to present the development, design and analysis of a control scheme named Thermal Model Predictive Control for Demand Side Management Cooling Strategies. The control is implemented on ... for ener...

P. Romanos; N. Hatziargyriou; Jurgen Schmid

2011-01-01T23:59:59.000Z

35

Innovative and Progressive Electric Utility Demand-Side Management Strategies  

E-Print Network [OSTI]

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

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

36

Intelligent demand side energy management system for autonomous polygeneration microgrids  

Science Journals Connector (OSTI)

Autonomous polygeneration microgrids is a novel approach in addressing the needs of remote areas. These needs can include power, fuel for transportation in the form of hydrogen, potable water through desalination and space heating and cooling. This approach has been investigated technically and economically and has proved viable. Further research has taken place in the supervisory management of this topology using computational intelligence techniques like fuzzy logic, which has optimized the concept minimizing the sizes of the installed components. The optimal design of the system can meet, though, only the design principles and needs. In reality experience has shown that most autonomous power systems operate out of specifications very shortly after installation or after a couple of years new needs arise and it is not possible economic wise for the people to extend it. In these cases the microgrid would struggle to cover the increased needs and in the end fail, causing blackouts. A solution to this is partial load shedding in an intelligent manner. This paper presents a multi agent system for intelligent demand side management of the polygeneration microgrid topology which also includes grey prediction algorithms for better management. This approach can also be used for designing the optimal polygeneration microgrid for a given amount of an investment. The results show that the proposed intelligent demand side management system can address its design principles successfully and guaranty the most effective operation even in conditions near and over the limits of the design specification of the autonomous polygeneration microgrid.

George Kyriakarakos; Dimitrios D. Piromalis; Anastasios I. Dounis; Konstantinos G. Arvanitis; George Papadakis

2013-01-01T23:59:59.000Z

37

Evolution of the Demand Side Management in the Smart Grid  

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

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

38

U.S. electric utility demand-side management 1995  

SciTech Connect (OSTI)

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

NONE

1997-01-01T23:59:59.000Z

39

U.S. electric utility demand-side management 1996  

SciTech Connect (OSTI)

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

NONE

1997-12-01T23:59:59.000Z

40

Energy Conservation and Commercialization in Gujarat: Report On Demand Side  

Open Energy Info (EERE)

Energy Conservation and Commercialization in Gujarat: Report On Demand Side Energy Conservation and Commercialization in Gujarat: Report On Demand Side Management (DSM) In Gujarat Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Conservation and Commercialization in Gujarat: Report On Demand Side Management (DSM) In Gujarat Focus Area: Crosscutting Topics: Opportunity Assessment & Screening Website: eco3.org/wp-content/plugins/downloads-manager/upload/Report%20on%20Dem Equivalent URI: cleanenergysolutions.org/content/energy-conservation-and-commercializa Language: English Policies: "Deployment Programs,Financial Incentives,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Technical Assistance Regulations: Resource Integration Planning

Note: This page contains sample records for the topic "demand side case" 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

Review of Strategies and Technologies for Demand-Side Management on Isolated Mini-Grids  

E-Print Network [OSTI]

Technologies for Demand-Side Management on Isolated Mini-technologies used for demand- side management (DSM) on mini-can provide additional demand-side management based on the

Harper, Meg

2014-01-01T23:59:59.000Z

42

Mul$-scale Demand-Side Management for Con$nuous Power-intensive Processes  

E-Print Network [OSTI]

1 Mul$-scale Demand-Side Management for Con$nuous Power-intensive Processes Response Energy Efficiency Demand-Side Management (DSM)1 Integra on Demand-Side Management, with an emphasis on price responsive programs", CRA No

Grossmann, Ignacio E.

43

Dynamic Investment Strategies with Demand-Side and Cost-Side Risks  

E-Print Network [OSTI]

Dynamic Investment Strategies with Demand-Side and Cost-Side Risks Engelbert J. Dockner Department of Vienna Br¨unner Stra�e 72 1210 Vienna, Austria April 23, 2010 Abstract Investments in cost reductions. This paper stud- ies optimal investment in cost reductions as a real option under the assumption

Gaunersdorfer, Andrea

44

Review of Self-direct Demand Side Management (DSM) Programs  

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

Review of Self-direct Demand Side Management (DSM) Programs Review of Self-direct Demand Side Management (DSM) Programs Title Review of Self-direct Demand Side Management (DSM) Programs Publication Type Presentation Year of Publication 2012 Authors Borgeson, Merrian Keywords demand side resources: policy, electricity markets, electricity markets and policy group, energy analysis and environmental impacts department, energy efficiency, self direct programs, technical assistance Full Text LBNL recently provided technical assistance funded by DOE to the Public Utilities Commission of Ohio to inform their decision-making about changes to their existing self-direct program for commercial and industrial customers. Self-direct programs are usually targeted at large industrial customers with specialized needs or strong in-house energy engineering capacity. These programs are found in at least 24 states, and there is significant variety in how these programs are structured - with important implications for the additionality and reliability of the energy savings that result. LBNL reviewed existing programs and compared key elements of self-direct program design. For additional questions about this work, please contact Merrian Borgeson.

45

Demand-Side Management (DSM) Opportunities as Real-Options  

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

Demand-Side Management (DSM) Opportunities as Real-Options Demand-Side Management (DSM) Opportunities as Real-Options Speaker(s): Osman Sezgen Date: August 1, 2002 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Kristina LaCommare As some end-users of energy and aggregators are choosing to be exposed to real-time prices and energy price volatility, they are coming across new DSM opportunities that would not be feasible under typical utility rate structures. Effective evaluation of such opportunities requires a good understanding of the wholesale energy markets and the use of models based on recent financial techniques for option pricing. The speaker will give examples of such modeling approaches based on his experience in the retail-energy industry. Specific examples will include evaluation of distributed generation, load curtailment, dual-fuel cooling, and energy

46

A Case Study of a Commissioning Process for Demand Side Energy Conservation of the Large Heat Source Plant in Kyoto Station Building-APCBC  

E-Print Network [OSTI]

-09-20 Proceedings of the 14th International Conference for Enhanced Building Operations, Beijing, China, September 14-17, 2014 21 Total effect by turning for both substation and plant control (FY2011 vs FY2013) ? The electric power consumption compared for 3 years.... ? In the first year (FY2012), we carried out only the parameter tuning for substation control based on the data analysis. ? In the second year (FY2013), we carried out the control parameter tuning of the heat source side in addition to the tuning...

Matsushita, N.; Yoshida,H.

2014-01-01T23:59:59.000Z

47

Division of IT Convergence Engineering Optimal Demand-Side Energy Management Under  

E-Print Network [OSTI]

Division of IT Convergence Engineering Optimal Demand-Side Energy Management Under Real-time Demand and wastage through better demand-side management and control is considered a key solution ingredient of appliance specific adapters. Designed and implemented GHS Modeled the demand-side energy management

Boutaba, Raouf

48

An MILP Formulation for Load-Side Demand Control Zhonghui Luo, Ratnesh Kumar*  

E-Print Network [OSTI]

Demand control systems can be divided functionally into supply-side and load-side control/management systems. Supply-side demand management systems, implemented by the utilities, choose between maintainingAn MILP Formulation for Load-Side Demand Control Zhonghui Luo, Ratnesh Kumar* , Joseph Sottile

Kumar, Ratnesh

49

Organizing for demand-side management program implementation  

SciTech Connect (OSTI)

Organizing for the implementation of a demand-side management (DSM) program, is an exercise in planning and acquiring resources. However, the requirements for energy efficiency program implementation will vary and are dependent upon the type of mechanism employed in delivering the program. For example, commercial energy efficiency programs generally have three delivery mechanisms: rebate; direct installation; or DSM. For residential programs there are two unique methods, one a catalog program, which provides a source of purchasing energy efficient products, or a point-of-sale program, where rebates, in the form of coupons can be redeemed at the time of product purchase.

Obeiter, R.

1996-01-01T23:59:59.000Z

50

The use of systematic reviews to analyse demand-side management policy  

Science Journals Connector (OSTI)

Demand-side management (DSM) seeks to reduce overall energy ... change when energy is used to reduce peak demands and smooth the load curve. DSM is ... and carbon emissions reduction. However, the policy side of ...

Peter Warren

2014-06-01T23:59:59.000Z

51

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

Science Journals Connector (OSTI)

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

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

1988-01-01T23:59:59.000Z

52

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

Science Journals Connector (OSTI)

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

Linas Gelazanskas; Kelum A.A. Gamage

2014-01-01T23:59:59.000Z

53

CSEM WP 165R Demand-Side Management and Energy Efficiency  

E-Print Network [OSTI]

CSEM WP 165R Demand-Side Management and Energy Efficiency Revisited Maximilian Auffhammer, Carl, California 94720-5180 www.ucei.org #12;Demand-Side Management and Energy Efficiency Revisited Maximilian associated with energy efficiency demand side management (DSM) programs. This claim is based on point

Auffhammer, Maximilian

54

Simple models of district heating systems for load and demand side management  

E-Print Network [OSTI]

Simple models of district heating systems for load and demand side management and operational heating systems for load and demand side management and operational optimisation Simple modeller and demand side management and operational optimisation © 2004 by the authors, Department of Mechanical

55

A Foundation of Demand-Side Resource Management in Distributed Systems  

Science Journals Connector (OSTI)

The theoretical problems of demand-side management are examined in without regard to the type of resource whose demand is to be managed, and the Maximum Demand problem is identified and addressed in a ... resourc...

Shrisha Rao

2010-01-01T23:59:59.000Z

56

Smart charging and appliance scheduling approaches to demand side management  

Science Journals Connector (OSTI)

Abstract Various forms of demand side management (DSM) programs are being deployed by utility companies for load flattening amongst the residential power users. These programs are tailored to offer monetary incentives to electricity customers so that they voluntarily consume electricity in an efficient way. Thus, DSM presents households with numerous opportunities to lower their electricity bills. However, systems that combine the various DSM strategies with a view to maximizing energy management benefits have not received sufficient attention. This study therefore proposes an intelligent energy management framework that can be used to implement both energy storage and appliance scheduling schemes. By adopting appliance scheduling, customers can realize cost savings by appropriately scheduling their power consumption during the low peak hours. More savings could further be achieved through smart electricity storage. Power storage allows electricity consumers to purchase power during off-peak hours when electricity prices are low and satisfy their demands when prices are high by discharging the batteries. For optimal cost savings, the customers must constantly monitor the price fluctuations in order to determine when to switch between the utility grid and the electricity storage devices. However, with a high penetration of consumer owned storage devices, the charging of the batteries must be properly coordinated and appropriately scheduled to avoid creating new peaks. This paper therefore proposes an autonomous smart charging framework that ensures both the stability of the power grid and customer savings.

Christopher O. Adika; Lingfeng Wang

2014-01-01T23:59:59.000Z

57

Multiobjective demand side management solutions for utilities with peak demand deficit  

Science Journals Connector (OSTI)

Abstract Demand side management (DSM) is a growing concept around the world, particularly in urban India, recently due to presence of time of day (TOD) tariffs for the large commercial and industrial customers. Residential customers are not exposed to TOD tariff structure so far in India. This encourages commercial and industrial customers to schedule their flexible loads as per TOD tariff to extract maximum benefit of it and helps utilities to reduce their peak load demand and reshape the load curve. For efficient DSM implementation, this paper presents a multiobjective DSM solutions based on integer genetic algorithm to benefit both utilities and consumers. The proposed algorithm provides new directions on effective implementation of DSM techniques for Indian utilities. Simulations were carried out on Indian practical distribution system with large commercial and industrial loads. The simulation results of the proposed algorithm shows that the presented DSM technique comprehends reasonable savings to both utility and consumers simultaneously, while reducing the system peak.

Nandkishor Kinhekar; Narayana Prasad Padhy; Hari Om Gupta

2014-01-01T23:59:59.000Z

58

Overview of Demand Side Response | Department of Energy  

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

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

59

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

Science Journals Connector (OSTI)

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

Jonas Katz

2014-01-01T23:59:59.000Z

60

588 IEEE SYSTEMS JOURNAL, VOL. 8, NO. 2, JUNE 2014 GTES: An Optimized Game-Theoretic Demand-Side  

E-Print Network [OSTI]

, Nei Kato, Fellow, IEEE, and Ivan Stojmenovic, Fellow, IEEE Abstract--Demand-side management in smart]­[4]. For the successful deployment of the smart grid, demand-side management or demand response [5]­[7] is crucial. Demand-side in the shape of loads of the utility company. While demand-side management aims at producing a change

Stojmenovic, Ivan

Note: This page contains sample records for the topic "demand side case" 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

Software components for demand side integration at a container terminal  

Science Journals Connector (OSTI)

Local energy management and demand response are established methods to raise energy ... in industrial enterprises the intelligent use of power demand draws significantly increased importance. Due to the ... energ...

Norman Ihle; Serge Runge; Claas Meyer-Barlag…

2014-11-01T23:59:59.000Z

62

Demand-Side Management in The U.S.: Do We Have All the Answers?  

Science Journals Connector (OSTI)

The concept of demand-side management (DSM) has been used in the ... changes to electricity use patterns on the customer side of the meter, and to adjust their ... framework emerged to explicitly incorporate the ...

Veronika A. Rabl

1994-01-01T23:59:59.000Z

63

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

E-Print Network [OSTI]

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

Pursley, Jeffrey L

2014-01-01T23:59:59.000Z

64

Review of Strategies and Technologies for Demand-Side Management on Isolated Mini-Grids  

E-Print Network [OSTI]

demand- side management (DSM) on mini-grids throughout theunderpin the need to employ DSM to reduce load or spreadand technologies for DSM vary. As described above, one

Harper, Meg

2014-01-01T23:59:59.000Z

65

Chapter 3 Demand-Side Resources | Department of Energy  

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

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

66

The Long View of Demand-Side Management Programs  

Science Journals Connector (OSTI)

One of the primary reasons that the electricity market failed in California during the 2000–2001 period was the lack of dynamic demand response to rising wholesale electricity prices. Had retail customers seen...

Ahmad Faruqui; Greg Wikler; Ingrid Bran

2003-01-01T23:59:59.000Z

67

Demand Side Management by controlling refrigerators and its effects on consumers  

Science Journals Connector (OSTI)

Demand Side Management in power grids has become more and more important in recent years. Continuously growing energy demand both increases the need for distributed generation from renewable energy sources and brings out the topic of Demand Side Management. One of the major application areas of Demand Side Management in smart grids is cooling systems. In this paper, Demand Side Management with control of a refrigerator and its economic effects on consumers are analyzed. With a refrigerator model based on real measurements, several cooling schedules are simulated and annual energy fees for different pricing methods in use in Turkey are calculated and discussed. The results revealed that, 37.9% of refrigerator’s demand in peak period can be shifted to other periods and annual electricity bills for customers can be reduced by 11.4%.

M. Alparslan Zehir; Mustafa Bagriyanik

2012-01-01T23:59:59.000Z

68

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

Broader source: Energy.gov [DOE]

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

69

Analysis of control strategies for thermally activated building systems under demand side management mechanisms  

Science Journals Connector (OSTI)

Abstract Thermally activated buildings systems (TABS) are systems that integrate heating/cooling devices in the building structure, so that the building elements act as thermal storage and have an active role in the energy supply and demand management. Although TABS are well known systems, there are still open questions in their realization, mainly concerning appropriate control strategies which are influenced by the large thermal inertia. The purpose of this paper is to analyze the influence of demand side management control strategies on the performance of a thermally activated building system applied in a commercial building. The goal is to estimate the potential of TABS for load shifting requested by the electricity grid. The analysis is performed by means of a sample case: first the existing TABS control strategy and then the possible implementation of DSM mechanisms are analyzed. In particular three different demand side management mechanisms are evaluated: (i) a peak shaving strategy, (ii) a random request of switching on/off the system and (iii) a night load shifting strategy. The simulation results show high potential of TABS within the DSM framework, since TABS allow load control while scarcely affect thermal comfort.

A. Arteconi; D. Costola; P. Hoes; J.L.M. Hensen

2014-01-01T23:59:59.000Z

70

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

E-Print Network [OSTI]

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

de Weck, Olivier L.

71

A distributed demand-side management framework for the smart grid  

Science Journals Connector (OSTI)

Abstract This paper proposes a fully distributed Demand-Side Management system for Smart Grid infrastructures, especially tailored to reduce the peak demand of residential users. In particular, we use a dynamic pricing strategy, where energy tariffs are function of the overall power demand of customers. We consider two practical cases: (1) a fully distributed approach, where each appliance decides autonomously its own scheduling, and (2) a hybrid approach, where each user must schedule all his appliances. We analyze numerically these two approaches, showing that they are characterized practically by the same performance level in all the considered grid scenarios. We model the proposed system using a non-cooperative game theoretical approach, and demonstrate that our game is a generalized ordinal potential one under general conditions. Furthermore, we propose a simple yet effective best response strategy that is proved to converge in a few steps to a pure Nash Equilibrium, thus demonstrating the robustness of the power scheduling plan obtained without any central coordination of the operator or the customers. Numerical results, obtained using real load profiles and appliance models, show that the system-wide peak absorption achieved in a completely distributed fashion can be reduced up to 55%, thus decreasing the capital expenditure (CAPEX) necessary to meet the growing energy demand.

Antimo Barbato; Antonio Capone; Lin Chen; Fabio Martignon; Stefano Paris

2014-01-01T23:59:59.000Z

72

Resource–Task Network Formulations for Industrial Demand Side Management of a Steel Plant  

Science Journals Connector (OSTI)

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

Pedro M. Castro; Lige Sun; Iiro Harjunkoski

2013-08-13T23:59:59.000Z

73

Why Joint Implementation Can Boost Demand Side Management in Developing Countries  

Science Journals Connector (OSTI)

In this chapter Joint Implementation will be discussed from a business perspective. In particular, the focus will be on the potential role JI can play in further developing Demand Side Management (DSM) in develop...

Wim Wilms

1995-01-01T23:59:59.000Z

74

Employee Retention and Integrated Disability Management Practices as Demand Side Factors  

Science Journals Connector (OSTI)

Introduction Demand-side employment research on company policies and practices related to retention and absence and disability management (ADM) can contribute to our understanding...Aim To examin...

Rochelle Habeck; Allan Hunt; Colleen Head Rachel…

2010-12-01T23:59:59.000Z

75

Cost-Efficiency in Water Management Through Demand Side Management and Integrated Planning  

Science Journals Connector (OSTI)

In the context of regional planning for efficient management of water and wastewater, it is crucial ... situation. This consists of measures for water demand side management, comparison of different scenarios of ...

Dr. Ing. Ralf Otterpohl

2008-01-01T23:59:59.000Z

76

Quality-functions for an uniform and comparable analysis of demand side management algorithms  

Science Journals Connector (OSTI)

Due to renewable energies, the feed-in to the power grid will fluctuate increasingly. As long as no highly efficient storage technology is found, the importance of demand side management (DSM) will grow. Differen...

Daniel Hölker; Daniel Brettschneider…

2014-12-01T23:59:59.000Z

77

Guidelines for Marketing Demand-Side Management in the Commercial Sector  

E-Print Network [OSTI]

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

George, S. S.

1988-01-01T23:59:59.000Z

78

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

E-Print Network [OSTI]

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

Rosenblum, J. I.

79

Integrating renewables economic dispatch with demand side management in micro-grids: a genetic algorithm-based approach  

Science Journals Connector (OSTI)

Economic dispatch and demand side management are two of the most important tools for efficient energy management in the grid. It is a casual ... aiming to optimize economic dispatch have implications for demand side

Ahmer Arif; Fahad Javed; Naveed Arshad

2014-04-01T23:59:59.000Z

80

A Hierarchical Framework for Demand-Side Frequency Control  

SciTech Connect (OSTI)

With large-scale plans to integrate renewable generation, more resources will be needed to compensate for the uncertainty associated with intermittent generation resources. Under such conditions, performing frequency control using only supply-side resources become not only prohibitively expensive but also technically difficult. It is therefore important to explore how a sufficient proportion of the loads could assume a routine role in frequency control to maintain the stability of the system at an acceptable cost. In this paper, a novel hierarchical decentralized framework for frequency based load control is proposed. The framework involves two decision layers. The top decision layer determines the optimal droop gain required from the aggregated load response on each bus using a robust decentralized control approach. The second layer consists of a large number of devices, which switch probabilistically during contingencies so that the aggregated power change matches the desired droop amount according to the updated gains. The proposed framework is based on the classical nonlinear multi-machine power system model, and can deal with timevarying system operating conditions while respecting the physical constraints of individual devices. Realistic simulation results based on a 68-bus system are provided to demonstrate the effectiveness of the proposed strategy.

Moya, Christian; Zhang, Wei; Lian, Jianming; Kalsi, Karanjit

2014-06-02T23:59:59.000Z

Note: This page contains sample records for the topic "demand side case" 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

The Demand Side: Behavioral Patterns and Unpicked Low-Hanging Fruit  

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

The Demand Side: Behavioral Patterns and The Demand Side: Behavioral Patterns and Unpicked Low-Hanging Fruit James Sweeney Stanford University Director Precourt Energy Efficiency Center (Née: Precourt Institute for Energy Efficiency) Professor, Management Science and Engineering 6 Source: McKinsey & Co. Increased commercial space Gasoline Price Controls Compact Fluorescent Penetration LED: Traffic Lights, Task Lighting Appliance Energy Labeling Gasoline Rationing Much Incandescent Lighting Congestion Pricing Personal Computer Penetration Optimized Building Construction Overly Strict Building Standards Pigouvian Energy Tax Reduced Cost Decreased Energy Use "Smart" Regional Land Development Reformed Fuel Efficiency Standards Some Rail Rapid Transit Systems Efficient AC-DC Converters Halt SUV

82

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

E-Print Network [OSTI]

introduction of a demand-side management (DSM) framework forof building controls. Demand-Side Management Framework forDOE 2006). The demand-side management (DSM) framework

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

2006-01-01T23:59:59.000Z

83

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

84

Maximizing Energy Savings Reliability in BC Hydro Industrial Demand-side Management Programs  

E-Print Network [OSTI]

saving potential, and (5) a lack of organizational awareness of an operation's energy efficiency over efficiency requirements and pursuing demand-side management (DSM) incentive programs in the large industrial to investment in energy efficiency, and (2) requiring that incentive payments be dependent on measured energy

Victoria, University of

85

Autonomous Demand Side Management Based on Game-Theoretic Energy Consumption  

E-Print Network [OSTI]

Autonomous Demand Side Management Based on Game-Theoretic Energy Consumption Scheduling consumption scheduling game, where the players are the users and their strategies are the daily schedules is achieved at the Nash equilibrium of the formulated energy consumption scheduling game. The proposed

Mohsenian-Rad, Hamed

86

Demand Side Management for Wind Power Integration in Microgrid Using Dynamic Potential Game Theory  

E-Print Network [OSTI]

Demand Side Management for Wind Power Integration in Microgrid Using Dynamic Potential Game Theory the intermittency in wind power generation. Our focus is on an isolated microgrid with one wind turbine, one fast, Wind Power Integration, Markov Chain, Dynamic Potential Game Theory, Nash Equilibrium. I. INTRODUCTION

Huang, Jianwei

87

Abstract--Implementation of Distribution Automation (DA) and Demand Side Management (DSM) intended to serve both  

E-Print Network [OSTI]

Abstract--Implementation of Distribution Automation (DA) and Demand Side Management (DSM) intended, requires a wide-area two-way communication system. DA and DSM devices (customer meters, switches, etc for both DA/DSM applications can be met. And a scheduling policy is proposed to provide the applications

Paris-Sud XI, Université de

88

DEMAND SIDE ENERGY MANAGEMENT AND CONSERVATION PROGRAM Measurement and Verification Program  

E-Print Network [OSTI]

DEMAND SIDE ENERGY MANAGEMENT AND CONSERVATION PROGRAM Measurement and Verification Program 4. Operating hours per room usage category ii. Pre-retrofit energy measurements for sampled fixtures iii. Post-retrofit energy measurements for sampled fixtures iv. Summary savings report b. For each of the items above, the M

Hofmann, Hans A.

89

DEMAND SIDE ENERGY MANAGEMENT AND CONSERVATION PROGRAM Measurement and Verification Program  

E-Print Network [OSTI]

DEMAND SIDE ENERGY MANAGEMENT AND CONSERVATION PROGRAM Measurement and Verification Program 4) - Measure toilet and urinal flush volumes a. Units: gallon per flush (gpf) b. Measured by flushing fixture) - Measure faucet and showerhead flow rates a. Units: gallons per minute (gpm) b. Measured using a micro weir

Hofmann, Hans A.

90

A Simulation Platform to Demonstrate Active Demand-Side Management by Incorporating Heuristic Optimization for Home Energy Management.  

E-Print Network [OSTI]

??Demand-Side Management (DSM) can be defined as the implementation of policies and measures to control, regulate, and reduce energy consumption. This document introduces home energy… (more)

Gudi, Nikhil

2010-01-01T23:59:59.000Z

91

A review of demand-side management policy in the UK  

Science Journals Connector (OSTI)

Abstract Demand-side management (DSM) refers to actions undertaken on the demand side of energy metres. A broad definition of DSM is proposed to include current policy objectives for emissions reduction, energy security and affordability, and encompasses energy efficiency, demand response, and on-site back-up generation and storage. The paper reviews the concept of DSM, outlines the historical impacts of DSM globally since the energy crises of the 1970s, analyses UK DSM policy, and examines the influence of EU Directives on UK DSM policy, as the country is currently deciding on how to include the demand-side in its Electricity Market Reform proposals and wider energy policy. Much of the focus of previous research has been on DSM technological trials and modelling studies rather than DSM policy and the paper contributes to filling this gap. Policy recommendations for the UK context are discussed, and it is clear that the success of DSM policies is determined primarily by regulatory support and utility financial incentives. It is important that policy clarity is provided and that current and new policies do not overlap.

Peter Warren

2014-01-01T23:59:59.000Z

92

Mobility and Carbon: The Blind Side of Transport Fuel Demand in the  

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

Mobility and Carbon: The Blind Side of Transport Fuel Demand in the Mobility and Carbon: The Blind Side of Transport Fuel Demand in the Developed and Developing World Speaker(s): Lee Schipper Date: February 15, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Anita Estner James McMahon A new "Great Wall" has emerged in China, this one a string of miles of cars stuck in traffic. Emissions from road transport in developing countries are expected to rise sharply in the coming decades if current trends continue. Projections of passenger and freight activity, vehicle use, and CO2 emissions push up overall CO2 emissions by a factor of three in Latin American and five in Asia by 2030, even with fuel economy improvements. The increase in car use is in part a result of growing incomes and economic activity, but it also reflects the poor quality of transit and

93

Municipal demand-side policy tools and the strategic management of technology life cycles  

Science Journals Connector (OSTI)

Abstract This research is particularly concerned with public policy instruments which may help to accelerate the development and diffusion of sustainable innovations and support local economic development. While sustainable technology sectors are in high demand, firms still face significant barriers in developing and diffusing their technologies in regions throughout the world (Hoff, 2012). This area has been less explored in the extant research yet recent experiences suggest that supply side tools may not always have positive benefits for supporting clean technology evolution, or for taxpayers. Leveraging innovation policy and technology life cycle literature, we develop a model of demand-side policy instruments which could be applied at different stages of the technology s-curve in order to accelerate the adoption of sustainable technologies. Implications for managers, public policy actors and researchers are considered.

Boyd Cohen; Jose Ernesto Amorós

2014-01-01T23:59:59.000Z

94

ACCURATE ESTIMATION OF TARGET AMOUNTS USING EXPANDED BASS MODEL FOR DEMAND?SIDE MANAGEMENT  

Science Journals Connector (OSTI)

The electricity demand in Korea has rapidly increased along with a steady economic growth since 1970s. Therefore Korea has positively propelled not only SSM (Supply?Side Management) but also DSM (Demand?Side Management) activities to reduce investment cost of generating units and to save supply costs of electricity through the enhancement of whole national energy utilization efficiency. However study for rebate which have influence on success or failure on DSM program is not sufficient. This paper executed to modeling mathematically expanded Bass model considering rebates which have influence on penetration amounts for DSM program. To reflect rebate effect more preciously the pricing function using in expanded Bass model directly reflects response of potential participants for rebate level.

Hyun?Woong Kim; Jong?Jin Park; Jin?O. Kim

2008-01-01T23:59:59.000Z

95

Demand-side management and European environmental and energy goals: An optimal complementary approach  

Science Journals Connector (OSTI)

Abstract Demand side management (DSM) in electricity markets could improve energy efficiency and achieve environmental targets through controlled consumption. For the past 10 years or so DSM programmes have registered significant results. However, detailed analysis of its real impact as observed by a large number of pilot studies suggests that such programmes need to be fine-tuned to suit clearly identified conditions. This study aims to provide recommendations for the instruments to be used to prompt demand response with a view to maximizing energy and environmental efficiencies of various countries. The present study suggests that different DSM models should be deployed depending on the specific generation mix in any given country. Beside the natural benefits from cross-borders infrastructures, DSM improves the flexibility and reliability of the energy system, absorbing some shock on generation mix. We show efficiency increases with demand response but at a decreasing rate. So, according to rebound and report effects, simple DSM tools could be preferred.

Claire Bergaentzlé; Cédric Clastres; Haikel Khalfallah

2014-01-01T23:59:59.000Z

96

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

97

Why industry demand-side management programs should be self-directed  

SciTech Connect (OSTI)

U.S. industry believes in DSM. But it does not believe in the way DSM is being implemented, with its emphasis on mandatory utility surcharge/rebate programs. Self-directed industrial DSM programs would be better for industry - and for utilities as well. Industrial demand-side management, as it is currently practiced, relies heavily on command-and-control-style programs. The authors believe that all parties would benefit if utilities and state public service commissions encouraged the implementation of [open quotes]self-directed[close quotes] industrial DSM programs as an alternative to these mandatory surcharge/rebate-type programs. Here the authors outline industrial experience with existing demand-side management programs, and offer alternative approaches for DSM in large manufacturing facilities. Self-directed industrial programs have numerous advantages over mandatory utility-funded and sponsored DSM programs. Self-directed programs allow an industrial facility to use its own funds to meet its own specific goals, whether they are set on the basis of demand reduction, energy use reduction, spending levels for DSM and environmental activities, or some combination of these or other readily measurable criteria. This flexibility fosters a higher level of cost effectiveness, a more focused and effective approach for optimizing energy usage, larger emission reductions per dollar of expenditure, and more competitive industrial electric rates.

Pritchett, T.; Moody, L. (General Motors Corp., Detroit, MI (United States)); Brubaker, M. (Drazen-Brubaker Associates, Inc., St. Lousi, MO (United States))

1993-11-01T23:59:59.000Z

98

Review of demand-side bidding programs: Impacts, costs, and cost-effectiveness  

SciTech Connect (OSTI)

In December 1987, Central Maine Power (CMP) instituted the first competitive bidding program that allowed developers to propose installation of conservation measures. Since then, about 30 utilities in 14 states have solicited bids from energy service companies (ESCOs) and customers to reduce energy demand in residential homes and in commercial and industrial facilities. Interest in the use of competitive procurement mechanisms for demand-side resources continues to grow. In this study, the authors build upon earlier work conducted by LBL in collaboration with others (Goldman and Busch 1992; Wolcott and Goldman 1992). They have developed methods to compare bid prices and program costs among utilities. They also characterize approaches used by utilities and developers to allocate risks associated with DSM resources based on their review of a large sample of signed contracts. These contracts are analyzed in some detail because they provide insights into the evolving roles and responsibilities of utilities, customers, and third party contractors in providing demand-side management (DSM) services. The analysis also highlights differences in the allocation of risks between traditional utility rebate programs and DSM bidding programs.

Goldman, C.A.; Kito, M.S. [Lawrence Berkeley Lab., CA (United States). Energy and Environment Div.

1994-05-01T23:59:59.000Z

99

Optimal demand response: problem formulation and deterministic case  

E-Print Network [OSTI]

Optimal demand response: problem formulation and deterministic case Lijun Chen, Na Li, Libin Jiang load through real-time demand response and purchases balancing power on the spot market to meet, optimal demand response reduces to joint scheduling of the procurement and consumption decisions

Low, Steven H.

100

Demand side management of a run-of-mine ore milling circuit  

Science Journals Connector (OSTI)

Increasing electricity costs coupled with lower prices for some metals such as platinum group metals require a reevaluation of the operation of grinding processes. Demand side management (DSM) has received increasing attention in the field of industrial control as an opportunity to reduce operating costs. DSM through grinding mill power load shifting is presented in this paper using model predictive control and a real-time optimizer. Simulation results indicate that mill power load shifting can potentially achieve cost reductions of $9.90 per kg of unrefined product when applied to a run-of-mine (ROM) ore milling circuit processing platinum bearing ore. DSM is however still not economically feasible when there is a demand to continuously run the milling circuit at maximum throughput.

B. Matthews; I.K. Craig

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand side case" 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

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

Science Journals Connector (OSTI)

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

P. Finn; C. Fitzpatrick; D. Connolly

2012-01-01T23:59:59.000Z

102

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

SciTech Connect (OSTI)

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

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

1995-12-31T23:59:59.000Z

103

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

SciTech Connect (OSTI)

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

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

1997-01-01T23:59:59.000Z

104

Hawaii demand-side management resource assessment. Final report: DSM opportunity report  

SciTech Connect (OSTI)

The Hawaii Demand-Side Management Resource Assessment was the fourth of seven projects in the Hawaii Energy Strategy (HES) program. HES was designed by the Department of Business, Economic Development, and Tourism (DBEDT) to produce an integrated energy strategy for the State of Hawaii. The purpose of Project 4 was to develop a comprehensive assessment of Hawaii`s demand-side management (DSM) resources. To meet this objective, the project was divided into two phases. The first phase included development of a DSM technology database and the identification of Hawaii commercial building characteristics through on-site audits. These Phase 1 products were then used in Phase 2 to identify expected energy impacts from DSM measures in typical residential and commercial buildings in Hawaii. The building energy simulation model DOE-2.1E was utilized to identify the DSM energy impacts. More detailed information on the typical buildings and the DOE-2.1E modeling effort is available in Reference Volume 1, ``Building Prototype Analysis``. In addition to the DOE-2.1E analysis, estimates of residential and commercial sector gas and electric DSM potential for the four counties of Honolulu, Hawaii, Maui, and Kauai through 2014 were forecasted by the new DBEDT DSM Assessment Model. Results from DBEDTs energy forecasting model, ENERGY 2020, were linked with results from DOE-2.1E building energy simulation runs and estimates of DSM measure impacts, costs, lifetime, and anticipated market penetration rates in the DBEDT DSM Model. Through its algorithms, estimates of DSM potential for each forecast year were developed. Using the load shape information from the DOE-2.1E simulation runs, estimates of electric peak demand impacts were developed. 10 figs., 55 tabs.

NONE

1995-08-01T23:59:59.000Z

105

Demand Shifting With Thermal Mass in Large Commercial Buildings: Case  

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

Demand Shifting With Thermal Mass in Large Commercial Buildings: Case Demand Shifting With Thermal Mass in Large Commercial Buildings: Case Studies and Tools Speaker(s): Peng Xu Date: March 9, 2007 - 12:00pm Location: 90-3122 The idea of pre-cooling and demand limiting is to pre-cool buildings at night or in the morning during off-peak hours, storing cooling energy in the building thermal mass and thereby reducing cooling loads during the peak periods. Savings are achieved by reducing on-peak energy and demand charges. 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. Case studies in a number of office buildings in California has found that a simple demand limiting strategy reduced the chiller power by 20-100% (0.5-2.3W/ft2) during six

106

Demand side management using artificial neural networks in a smart grid environment  

Science Journals Connector (OSTI)

Abstract Smart grid deployment is a global trend, creating endless possibilities for the use of data generated by dynamic networks. The challenge is the transformation of this large volume of data into useful information for the electrical system. An example of this is the application of demand side management (DSM) techniques for the optimisation of power system management in real time. This article discusses the use of DSM in this new environment of electrical system and it presents a simulation that uses data acquired from digital meters, it creates patterns of load curves, uses these patterns load data to train and validate a ANN and uses this ANN to classify new data using these defined patters. The results obtained in this study show that the intelligent network environment facilitates the implementation of DSM and the use of ANN presented a satisfactory performance for the classification of load curves.

M.N.Q. Macedo; J.J.M. Galo; L.A.L. de Almeida; A.C. de C. Lima

2015-01-01T23:59:59.000Z

107

Review of US utility demand-side bidding programs: Impacts, costs, and cost-effectiveness  

Science Journals Connector (OSTI)

In this study, we review utility experiences with demand-side management (DSM) bidding programs. Since 1987, about 35 US utilities have signed long-term contracts with developers of DSM resources (ie energy service companies and customers) to provide a quantity of demand and energy savings at specified prices. Total resource costs range between 5.4 and 8 cents/kWh for 10 DSM bidding programs where complete information on program costs is available. Almost all DSM bidding programs have been cost-effective compared with the utility's own supply-side alternatives, although there is substantial disagreement regarding the value of these programs compared with the utility's own DSM programs. In most bidding programs, payments to bidders account for between 70 and 90% of total program costs. Variation in winning bid prices is influenced primarily by DSM bid ceiling prices, differences in the mix of measures and markets targeted by developers, and the degree of performance risk borne by the DSM developer. Bids targeting residential customers averaged 6.2 cents/kWh compared with about 5.0 cents/kWh for commercial/industrial bids. We also compared the costs of acquiring lighting savings in DSM bidding contracts with a sample of 20 utility-sponsored commercial/industrial lighting programs. We found that, on average, total resource costs were slightly higher in bidding programs (6.1 vs 5.6 cents/kWh), although ratepayers bear significantly less performance risk in bidding programs compared with traditional utility-sponsored DSM programs.

Charles A. Goldman; Michele S. Kito

1995-01-01T23:59:59.000Z

108

Impact on energy requirements and emissions of heat pumps and micro-cogenerators participating in demand side management  

Science Journals Connector (OSTI)

Abstract The potential impacts of participating in demand side management (DSM) on the performance of air source heat pumps (ASHP) and micro-combined heat and power (mCHP) units are considered by this study. As significant consumers and generators of electricity at the distribution level, large numbers of heat pumps and micro-cogenerators would provide considerable scope for participation in DSM systems. However, it is possible that operating regimes which are optimised for grid considerations will not achieve the maximum performance that is possible from the units. Modelling has been conducted to investigate the significance of this effect, considering the case where local distribution constraints are the main driver for demand side interventions. A model of domestic electrical demand has been adapted to consider a neighbourhood of 128 dwellings in order to identify when interventions are necessary. This has been combined with dynamic models of two combustion engine micro-cogenerators, a solid oxide fuel cell micro-cogenerator and two ASHPs. A simple thermal model of each building is combined with a range of user preferences in order to determine the preferred operating profiles of the heating units. The DSM scheme analysed here is likely to have minimal impact on the emissions and energy requirements associated with each heating unit. Its effect is similar to that which occurs without DSM if the control system gain is relaxed such that equivalent thermal comfort is achieved. DSM can reduce the peak electrical demand of the neighbourhood. However, in the scenarios investigated, it is unlikely that the peaks can be reduced sufficiently such that they do not exceed the capacity of the local distribution transformer if \\{ASHPs\\} are used in all dwellings. By using a combination of mCHP units with ASHPs, it is possible to supply heating to all dwellings without exceeding this capacity. In this case, the use of DSM can increase the ratio of \\{ASHPs\\} used. In the context of a low carbon grid electricity supply, this will reduce the average carbon emissions associated with the neighbourhood.

Samuel J.G. Cooper; Geoffrey P. Hammond; Marcelle C. McManus; John G. Rogers

2014-01-01T23:59:59.000Z

109

Modeling of Demand Side Management Options for Commercial Sector in Maharashtra  

Science Journals Connector (OSTI)

Abstract There has been an unbalance between demand and supply of electricity in Maharashtra, a shortage of 20% peak power was reported in year 2011-12. Demand side management (DSM) in the commercial sector (consuming about 12% of the state electricity) can help to bridge this gap. In this paper three DSM options namely global temperature adjustment (GTA), chilled water storage (CWS) and variable air volume system (VAVS) are evaluated to give potential energy savings and load shifting. Simulation of GTA model for a sample school building gave 21.3% saving in compressor work for a change of room settings from 23oC, 50% RH to 26oC, 40% RH. Model for CWS was simulated for an office building in Mumbai; the results showed a cooling load shifting of 1638TRh out of 2075TRh was possible with an optimum tank size of 450kl. Simulation of VAVS for a sample school building showed fan energy savings of 68% over CAVS.

Vishal Vadabhat; Rangan Banerjee

2014-01-01T23:59:59.000Z

110

The power of efficiency: Optimizing environmental and social benefits through demand-side-management  

Science Journals Connector (OSTI)

Abstract Substantial social and environmental benefits can be achieved through regional DSM (demand-side management) strategies. Here, three DSM scenarios that vary in capital investment costs of technology retrofits were tested for the contemporary Northeastern US. These resulted in an 8.3–16.5% decrease in summertime regional electricity consumption. The lower power consumption achieved through DSM was analyzed under an additional five SPR (strategic power reduction) scenarios to explore how the reduced electricity demand could be optimized through different modalities of thermoelectric power production that lower human health risks, thermal water pollution, carbon emissions or system costs (operation and maintenance) of power plants. SPR scenarios show potential to lower health risks to nearly two million people with corresponding avoided external costs of $11 billion per year, lower carbon emissions (31%, maximum) and thermal water pollution (37%, maximum). By internalizing external costs, some unfavorable investments (NPV (net present value)  0). Results show that integrating tradeoffs of DSM beyond the building scale unveil considerable social and environmental benefits that are ignored in typical financial valuations. This, in turn, can provide more holistic assessments and identify actionable policy alternatives of value to energy and environmental planners that aim to achieve sustainable development.

Ariel Miara; Craig Tarr; Rachel Spellman; Charles J. Vörösmarty; Jordan E. Macknick

2014-01-01T23:59:59.000Z

111

A cloud computing framework on demand side management game in smart energy hubs  

Science Journals Connector (OSTI)

Abstract The presence of energy hubs in the future vision of energy networks creates an opportunity for electrical engineers to move toward more efficient energy systems. At the same time, it is envisioned that smart grid can cover the natural gas network in the near future. This paper modifies the classic Energy Hub model to present an upgraded model in the smart environment entitling “Smart Energy Hub”. Supporting real time, two-way communication between utility companies and smart energy hubs, and allowing intelligent infrastructures at both ends to manage power consumption necessitates large-scale real-time computing capabilities to handle the communication and the storage of huge transferable data. To manage communications to large numbers of endpoints in a secure, scalable and highly-available environment, in this paper we provide a cloud computing framework for a group of smart energy hubs. Then, we use game theory to model the demand side management among the smart energy hubs. Simulation results confirm that at the Nash equilibrium, peak to average ratio of the total electricity demand reduces significantly and at the same time the hubs will pay less considerably for their energy bill.

Aras Sheikhi; Mohammad Rayati; Shahab Bahrami; Ali Mohammad Ranjbar; Sourena Sattari

2015-01-01T23:59:59.000Z

112

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

Science Journals Connector (OSTI)

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

P. Finn; M. O’Connell; C. Fitzpatrick

2013-01-01T23:59:59.000Z

113

Demand Response Valuation Frameworks Paper  

E-Print Network [OSTI]

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

Heffner, Grayson

2010-01-01T23:59:59.000Z

114

Domestic demand-side management (DSM): Role of heat pumps and thermal energy storage (TES) systems  

Science Journals Connector (OSTI)

Heat pumps are seen as a promising technology for load management in the built environment, in combination with the smart grid concept. They can be coupled with thermal energy storage (TES) systems to shift electrical loads from high-peak to off-peak hours, thus serving as a powerful tool in demand-side management (DSM). This paper analyzes heat pumps with radiators or underfloor heating distribution systems coupled with TES with a view to showing how a heat pump system behaves and how it influences the building occupants' thermal comfort under a DSM strategy designed to flatten the shape of the electricity load curve by switching off the heat pump during peak hours (16:00–19:00). The reference scenario for the analysis was Northern Ireland (UK). The results showed that the heat pump is a good tool for the purposes of DSM, also thanks to the use of TES systems, in particular with heating distribution systems that have a low thermal inertia, e.g. radiators. It proved possible to achieve a good control of the indoor temperature, even if the heat pump was turned off for 3 h, and to reduce the electricity bill if a “time of use” tariff structure was adopted.

A. Arteconi; N.J. Hewitt; F. Polonara

2013-01-01T23:59:59.000Z

115

Low-flow appliances and household water demand: An evaluation of demand-side management policy in Albuquerque, New Mexico  

Science Journals Connector (OSTI)

Abstract Residential rebate programs for low-flow water devices have become increasingly popular as a means of reducing urban water demand. Although program specifics vary, low-flow rebates are available in most U.S. metropolitan areas, as well as in many smaller municipalities. Despite their popularity, few statistical analyses have been conducted regarding the effects of low-flow rebates on household water use. In this paper, we consider the effects of rebates from the Albuquerque Bernalillo County Water Utility Authority (ABCWUA). Using panel regression techniques with a database of rebate recipients, we estimate the marginal effects of various low-flow devices on household water demand. Results indicate a negative correlation between household water use and the presence of most low-flow devices, after controlling for water price and weather conditions. Low-flow toilets have the greatest impact on water use, while low-flow washing machines, dishwashers, showerheads, and xeriscape have smaller but significant effects. In contrast, air conditioning systems, hot water recirculators, and rain barrels have no significant impact on water use. We also test for possible rebound effects (i.e. whether low-flow appliances become less-effective over time due to poor rates of retention or behavioral changes) and compare the cost effectiveness of each rebate using levelised-costs. We find no evidence of rebound effects and substantial variation in levelised-costs, with low-flow showerheads being the most cost-effective device under the current ABCWUA rebate program. The latter result suggests that water providers can improve the efficiency of rebate programs by targeting the most cost-effective devices.

James I. Price; Janie M. Chermak; Jeff Felardo

2014-01-01T23:59:59.000Z

116

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

E-Print Network [OSTI]

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

Dorrody, Ali

2014-01-01T23:59:59.000Z

117

Modeling Fossil Energy Demands of Primary Nonferrous Metal Production: The Case of Copper  

Science Journals Connector (OSTI)

Modeling Fossil Energy Demands of Primary Nonferrous Metal Production: The Case of Copper ... Alumbrera (Argentina) ...

Pilar Swart; Jo Dewulf

2013-11-22T23:59:59.000Z

118

The BeyWatch Conceptual Model for Demand-Side Management  

Science Journals Connector (OSTI)

The BeyWatch project designs, develops and evaluates an innovative, energy-aware and user-centric solution, able to provide intelligent energy monitoring/control and power demand balancing at home/building and la...

Menelaos Perdikeas; Theodore Zahariadis…

2011-01-01T23:59:59.000Z

119

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

Science Journals Connector (OSTI)

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

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

2003-01-01T23:59:59.000Z

120

Impact of the Demand-Side Management (DSM) Program structure on the cost-effectiveness of energy efficiency projects  

SciTech Connect (OSTI)

Pacific Northwest Laboratory (PNL) analyzed the cost-effective energy efficiency potential of Fort Drum, a customer of the Niagara Mohawk Power Corporation (NMPC) in Watertown, New York. Significant cost-effective investments were identified, even without any demand-side management (DSM) incentives from NMPC. Three NMPC DSM programs were then examined to determine the impact of participation on the cost-effective efficiency potential at the Fort. The following three utility programs were analyzed: (1) utility rebates to be paid back through surcharges, (2) a demand reduction program offered in conjunction with an energy services company, and (3) utility financing. Ultimately, utility rebates and financing were found to be the best programs for the Fort. This paper examines the influence that specific characteristics of the DSM programs had on the decision-making process of one customer. Fort Drum represents a significant demand-side resource, whose decisions regarding energy efficiency investments are based on life-cycle cost analysis subject to stringent capital constraints. The structures of the DSM programs offered by NMPC affect the cost-effectiveness of potential efficiency investments and the ability of the Fort to obtain sufficient capital to implement the projects. This paper compares the magnitude of the cost-effective resource available under each program, and the resulting level of energy and demand savings. The results of this analysis can be used to examine how DSM program structures impact the decision-making process of federal and large commercial customers.

Stucky, D.J.; Shankle, S.A.; Dixon, D.R.; Elliott, D.B.

1994-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand side case" 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

Impact of the demand-side management (DSM) Program structure on the cost-effectiveness of energy efficiency projects  

SciTech Connect (OSTI)

Pacific Northwest Laboratory (PNL) analyzed the cost-effective energy efficiency potential of Fort Drum, a customer of the Niagara Mohawk Power Corporation (NMPC) in Watertown, New York. Significant cost-effective investments were identified, even without any demand-side management (DSM) incentives from NMPC. Three NMPC DMS programs were then examined to determine the impact of participation on the cost-effective efficiency potential at the Fort. The following three utility programs were analyzed: (1) utility rebates to be paid back through surcharges; (2) a demand reduction program offered in conjunction with an energy services company; and (3) utility financing. Ultimately, utility rebates and financing were found to be the best programs for the Fort. This paper examines the influence that specific characteristics of the DSM programs had on the decision-making process of one customer. Fort Drum represents a significant demand-side resource, whose decisions regarding energy efficiency investments are based on life-cycle cost analysis subject to stringent capital constraints. The structures of the DSM programs offered by NMPC affect the cost-effectiveness of potential efficiency investments and the ability of the Fort to obtain sufficient capital to implement the projects. This paper compares the magnitude of the cost-effective resource available under each program, and the resulting level of energy and demand savings. The results of this analysis can be used to examine how DSM program structures impact the decision-making process of federal and large commercial customers.

Stucky, D.J.; Shankle, S.A.; Dixon, D.R.; Elliott, D.B.

1995-06-01T23:59:59.000Z

122

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

Science Journals Connector (OSTI)

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

M.A. López; S. de la Torre; S. Martín; J.A. Aguado

2015-01-01T23:59:59.000Z

123

An Integrated Multi-scale Framework for Assessing Demand-Side Resources  

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

Nexus of Nexus of Systems Reliability, Energy Costs, the Environment during High Energy Demand Days K. Max Zhang Sibley School of Mechanical and Aerospace Engineering Acknowledgement * Joe Eto and Pete Capper at LBNL * Dick Schuler at Cornell * Mike Swider, Peter Carney and Wes Hall at NYISO * Ari Kahn and Jamil Kahn, NYC Mayor's Office * Michael Harrington, ConED Outline * Context: A "peak" problem * Research statement * Methodology * Synergy - DOE's research needs - NYC's resiliency planning High Electric Demand Days (HEDD): A "Peak" Problem * Hot summer days and heat waves * Power Systems - Reliability is compromised - Cost of electricity is high: expensive peaking generators * Environment - High ozone air pollution - Double threats to public health: heat and air pollution

124

Potentials of Demand Side Management Using Heat Pumps with Building Mass as a Thermal Storage  

Science Journals Connector (OSTI)

Abstract Within this work, load-shifting possibilities of heat pumps in residential buildings as well as its influencing and limiting factors are displayed. The intermediate storage is achieved by using the thermal mass of the building so the heat supply can be postponed from the heat demand for a certain period, depending on the characteristics of the building. No additional water storage is considered.

Charlotte Ellerbrok

2014-01-01T23:59:59.000Z

125

Electric Demand Cost Versus Labor Cost: A Case Study  

E-Print Network [OSTI]

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

Agrawal, S.; Jensen, R.

126

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

SciTech Connect (OSTI)

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

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

1988-04-01T23:59:59.000Z

127

Creating balanced energy market structures: equal valuation of supply and demand side initiatives  

Science Journals Connector (OSTI)

Now in its fifth year, the Bordeaux Energy Colloquium was originally created to bring together the voices of various industry constituents to engage in a series of dialogues regarding the creation of a competitive energy marketplace. Each year, Colloquium members consider key variables within various contexts and evaluate their effect on the global transition trend from regulation to competition in energy markets. Fall-2005 Colloquium members agreed that the fundamental imbalance between how supply and demand options are valued is a key stumbling block in the proper functioning of energy markets. Working under the auspices of the Bordeaux Energy Colloquium, 2005 members created a call for action paper that attempts to identify important points of leverage that can be used to further unleash the potential of energy systems in favour of new lines of development.

Kimberly E. Samaha; Thomas L. Welch; John A. Anderson; Thomas R. Casten; Cody Graves

2007-01-01T23:59:59.000Z

128

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

129

Estimating the Price Elasticity of Residential Water Demand: The Case of Phoenix, Arizona  

E-Print Network [OSTI]

Article Estimating the Price Elasticity of Residential Water Demand: The Case of Phoenix, Arizona to such changes requires understanding the responsiveness of water demand to price changes. We estimate the price://aepp.oxfordjournals.org/Downloadedfrom #12;measures. In this paper we apply a method for estimating the price elasticity of water demand

130

Evaluation of Orange and Rockland Utilities, Inc.`s competitive bidding program for demand-side resources. Final report  

SciTech Connect (OSTI)

The process evaluation reports on the implementation of Orange and Rockland Utilities demand-side bidding program in New York State during 1991 and 1992. The program is implemented by two energy service companies in Orange and rockland`s New York State service territory. The process evaluation methodology included interviews with utility staff (3), energy service company staff (2), and participating (6) and nonparticipating (7) utility customers. The two energy service companies had enrolled 14 customers in the program by summer 1992. One company had achieved 90% of their 2.75 MW bid and the other had achieved less than 90% of their 6.9 MW bid. Critical factors in success were determination of a reasonable bid amount for the market and marketing to the appropriate customers. Customers most interested in the program included those with limited access to capital and medium-sized firms with poor cash flows, particularly schools and hospitals. The findings also show that due to the incentive structure and associated need for substantial customer contributions, lighting measures dominate all installations. Customers, however, were interested in the potential savings and six of the nonparticipants chose to either install measures on their own or enroll in the utility`s rebate program.

Peters, J.S.; Stucky, L.; Seratt, P.; Darden-Butler, D. [Barakat and Chamberlin, Inc., Portland, OR (United States)

1993-02-01T23:59:59.000Z

131

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

Science Journals Connector (OSTI)

Abstract Worldwide implementation of demand side management (DSM) programs has had positive impacts on electrical energy consumption (EEC) and the examination of their effects on long-term forecasting is warranted. The objective of this study is to investigate the effects of historical DSM data on accuracy of EEC modeling and long-term forecasting. To achieve the objective, optimal artificial neural network (ANN) models based on improved particle swarm optimization (IPSO) and shuffled frog-leaping (SFL) algorithms are developed for EEC forecasting. For long-term EEC modeling and forecasting for the U.S. for 2010–2030, two historical data types used in conjunction with developed models include (i) EEC and (ii) socio-economic indicators, namely, gross domestic product, energy imports, energy exports, and population for 1967–2009 period. Simulation results from IPSO-ANN and SFL-ANN models show that using socio-economic indicators as input data achieves lower mean absolute percentage error (MAPE) for long-term EEC forecasting, as compared with EEC data. Based on IPSO-ANN, it is found that, for the U.S. EEC long-term forecasting, the addition of DSM data to socio-economic indicators data reduces MAPE by 36% and results in the estimated difference of 3592.8 MBOE (5849.9 TW h) in EEC for 2010–2030.

F.J. Ardakani; M.M. Ardehali

2014-01-01T23:59:59.000Z

132

Three Case Studues of the Application of Energy Systems Optimization Best Prectices for Automatic Demand Response  

E-Print Network [OSTI]

Three Case Studies of the Application of Energy Systems Optimization Best Practices for Automatic Demand Response Yifu Shi Kelly Guiberteau Carlos Yagua, P.E. James Watt, P.E. Energy Systems Laboratory, Texas A&M University College.... INTRODUCTION The overall goal of the demand response program is to reduce facilities peak energy demand to reduce the cost of electricity for both Austin Energy and their customer. Reducing the demand mitigates the need to construct additional...

Shi, Y.; Guiberteau, K.; Yagua, C.; Watt, J.

2013-01-01T23:59:59.000Z

133

DSM Program Development. The demand-side resource options were developed using a combination of internal engineering estimates and external consulting services. The  

E-Print Network [OSTI]

DSM Program Development. The demand-side resource options were developed using a combination analysis. Screening Criteria. The DSM screening criteria were designed to assess a program's potential taken into consideration when looking at selecting DSM programs. · Programs will be cost-effective. From

134

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

SciTech Connect (OSTI)

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

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

1995-03-01T23:59:59.000Z

135

Demand Responsive Lighting: A Scoping Study  

E-Print Network [OSTI]

3 2.1 Demand-Side Managementbuildings. The demand side management framework is discussedIssues 2.1 Demand-Side Management Framework Forecasting

Rubinstein, Francis; Kiliccote, Sila

2007-01-01T23:59:59.000Z

136

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

of Energy demand-side management energy information systemdemand response. Demand-side management (DSM) program goalsa goal for demand-side management (DSM) coordination and

Goldman, Charles

2010-01-01T23:59:59.000Z

137

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

E-Print Network [OSTI]

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

Cheng, Chia-Chin

2005-01-01T23:59:59.000Z

138

Retail Demand Response in Southwest Power Pool  

E-Print Network [OSTI]

Data Collection for Demand-side Management for QualifyingPrepared by Demand-side Management Task Force of the

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

139

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

Science Journals Connector (OSTI)

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

Paddy Finn; Colin Fitzpatrick

2014-01-01T23:59:59.000Z

140

Analysis of Demand Side Management Products at Residential Sites: Case of Pacific Northwest U.S.  

Science Journals Connector (OSTI)

This paper provides a quantitative approach to determine important product features that are to be included in smart thermostats. This approach is expected to help decision makers manage product design process...

Ibrahim Iskin…

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand side case" 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

A Successful Case Study of Small Business Energy Efficiency and Demand  

Open Energy Info (EERE)

A Successful Case Study of Small Business Energy Efficiency and Demand A Successful Case Study of Small Business Energy Efficiency and Demand Response with Communicating Thermostats Jump to: navigation, search Tool Summary LAUNCH TOOL Name: A Successful Case Study of Small Business Energy Efficiency and Demand Response with Communicating Thermostats Focus Area: Energy Efficiency Topics: Socio-Economic Website: drrc.lbl.gov/sites/drrc.lbl.gov/files/lbnl-2743e.pdf Equivalent URI: cleanenergysolutions.org/content/successful-case-study-small-business- Language: English Policies: Financial Incentives This report presents the results of a pilot study of 78 small commercial customers in the Sacramento Municipal Utility District. Participants were given a participation incentive and provided with both help in implementing energy efficiency measures for their buildings and an array of energy

142

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

SciTech Connect (OSTI)

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

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

1996-09-01T23:59:59.000Z

143

Opportunities, Barriers and Actions for Industrial Demand Response in California  

E-Print Network [OSTI]

13 Table 2. Demand Side Management Framework for IndustrialDR Strategies The demand-side management (DSM) frameworkpresented in Table 2. Demand Side Management Framework for

McKane, Aimee T.

2009-01-01T23:59:59.000Z

144

Deep Demand Response: The Case Study of the CITRIS Building at the University of California-Berkeley  

E-Print Network [OSTI]

Deep Demand Response: The Case Study of the CITRIS Building at the University of California quality. We have made progress towards achieving deep demand response of 30% reduction of peak loads modeling expertise), and UC Berkeley (related demand response research including distributed wireless

Culler, David E.

145

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

146

Analytical Frameworks to Incorporate Demand Response in Long-term Resource Planning  

E-Print Network [OSTI]

management system demand-side management energy efficiencyresource plans and demand side management (DSM) program

Satchwell, Andrew

2014-01-01T23:59:59.000Z

147

IRSP (integrated resource strategic planning) with interconnected smart grids in integrating renewable energy and implementing DSM (demand side management) in China  

Science Journals Connector (OSTI)

Abstract The China's electricity consumption was 4966 TWh in 2012, which is the world top electricity consumer. The low carbon electricity is one of the key issues of its sustainable development. IRSP (integrated resource strategic planning) is a useful tool to implement DSM (demand side management) and power planning on the supply side. However, the role of interconnected smart grids with fast growing cross-region transmission is not considered in the IRSP. Therefore, the paper proposes the model of IRSP with interconnected smart grids to integrate more renewable power generation to the grids and implement more DSM projects, which is called as IRSP-sgs (IRSP smart grids) model. Two scenarios are projected to study the impact of cross-region transmission on low carbon electricity by using the IRSP-sgs model until 2025 in China. Results show that the scenario with enhanced cross-region transmission helps to reduce electricity generation by 784.38 TWh and reduce CO2 emission by 999.57 million tons during 2013–2025, since the multi-regional power operation can integrate more than 488.30 TWh renewable generation into the grids and implement more DSM projects to substitute generation. In addition, it also provides tremendous opportunities to improve the stable operation of the power system.

Yanan Zheng; Zhaoguang Hu; Jianhui Wang; Quan Wen

2014-01-01T23:59:59.000Z

148

A Cooperative Demand Response Scheme Using Punishment Mechanism and Application to Industrial Refrigerated Warehouses  

E-Print Network [OSTI]

Garcia, “Autonomous demand-side management based on game-and D. Dietrich, “Demand side management: Demand re- sponse,

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

2014-01-01T23:59:59.000Z

149

Incorporating Demand Response into Western Interconnection Transmission Planning  

E-Print Network [OSTI]

response DSM – Demand Side Management EE – energy efficiencywith the development of demand-side management (DSM)-related

Satchwell, Andrew

2014-01-01T23:59:59.000Z

150

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

E-Print Network [OSTI]

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

Han, Junqiao; Piette, Mary Ann

2008-01-01T23:59:59.000Z

151

Framework for formulating a performance-based incentive-rebate scale for the demand-side-energy management scheme for commercial buildings in Hong Kong  

Science Journals Connector (OSTI)

Many, but not all, rebate-type demand side management (DSM) programmes worldwide have met with success. The rebate rate offered is a critical factor to success but a rational rebate scale determination method that would help strike a proper balance between the incentive offered and the effectiveness of the programme is lacking. For the DSM programmes recently launched in Hong Kong, the rebate rates are disproportionate to the cost and performance of the promoted energy-saving measures, resulting in diverse participation rates among the programmes. This paper presents a conceptual framework for formulating the rebate scales for incentive-based DSM programmes for commercial buildings, which would attract participation of building owners and boost electricity saving. The establishment of the scale starts from developing a performance curve that relates the cost effectiveness and the long-term benefits of different energy-saving DSM measures. The rebate scale is set based on the premise that a proportionally higher rebate rate should be offered for the adoption of each additional measure, which would yield a diminished marginal rate of return. Analysis showed that replacing the current rebate scale by the proposed scale would lead to benefits, both to the building owners and the utility companies.

W.L. Lee; F.W.H. Yik

2002-01-01T23:59:59.000Z

152

Introduction Due to the demand for efficiency in turbomachinery, the clearance between the casing and the blades  

E-Print Network [OSTI]

Introduction Due to the demand for efficiency in turbomachinery, the clearance between the casing of Turbomachinery Wear Simulations SURE 2011 Project by Grégoire Martin, supervised by Dr. Christophe Pierre and Dr

Barthelat, Francois

153

An analysis of asymmetric demand response to price changes: The case of local telephone calls  

Science Journals Connector (OSTI)

Asymmetric demand responses to price changes are not an observable ... empirical studies generally support the theory of asymmetric demand responses. We construct a dynamic model based on...

Miles O. Bidwell Jr.; Bruce X. Wang; J. Douglas Zona

1995-11-01T23:59:59.000Z

154

Advanced Control Technologies and Strategies Linking Demand Response and Energy Efficiency  

E-Print Network [OSTI]

fits into historical demand side management (DSM) concepts.response. Demand Side Management Energy Efficiency (Daily) -requirements and demand side management issues have also

Kiliccote, Sila; Piette, Mary Ann

2005-01-01T23:59:59.000Z

155

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

E-Print Network [OSTI]

perspective, a demand-side management framework with threethe integration of DR in demand-side management activitiesdevelopments. The demand-side management (DSM) framework

Piette, Mary Ann; Kiliccote, Sila

2006-01-01T23:59:59.000Z

156

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

E-Print Network [OSTI]

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

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

2007-01-01T23:59:59.000Z

157

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

E-Print Network [OSTI]

buildings. A demand-side management framework from buildingthe integration of DR in demand-side management activitiesdevelopments. The demand-side management (DSM) framework

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

2006-01-01T23:59:59.000Z

158

The impact of future energy demand on renewable energy production – Case of Norway  

Science Journals Connector (OSTI)

Abstract Projections of energy demand are an important part of analyses of policies to promote conservation, efficiency, technology implementation and renewable energy production. The development of energy demand is a key driver of the future energy system. This paper presents long-term projections of the Norwegian energy demand as a two-step methodology of first using activities and intensities to calculate a demand of energy services, and secondly use this as input to the energy system model TIMES-Norway to optimize the Norwegian energy system. Long-term energy demand projections are uncertain and the purpose of this paper is to illustrate the impact of different projections on the energy system. The results of the analyses show that decreased energy demand results in a higher renewable fraction compared to an increased demand, and the renewable energy production increases with increased energy demand. The most profitable solution to cover increased demand is to increase the use of bio energy and to implement energy efficiency measures. To increase the wind power production, an increased renewable target or higher electricity export prices have to be fulfilled, in combination with more electricity export.

Eva Rosenberg; Arne Lind; Kari Aamodt Espegren

2013-01-01T23:59:59.000Z

159

Utility Sector Impacts of Reduced Electricity Demand  

SciTech Connect (OSTI)

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

Coughlin, Katie

2014-12-01T23:59:59.000Z

160

Hawaii demand-side management resource assessment. Final report, Reference Volume 3 -- Residential and commercial sector DSM analyses: Detailed results from the DBEDT DSM assessment model; Part 1, Technical potential  

SciTech Connect (OSTI)

The Hawaii Demand-Side Management Resource Assessment was the fourth of seven projects in the Hawaii Energy Strategy (HES) program. HES was designed by the Department of Business, Economic Development, and Tourism (DBEDT) to produce an integrated energy strategy for the State of Hawaii. The purpose of Project 4 was to develop a comprehensive assessment of Hawaii`s demand-side management (DSM) resources. To meet this objective, the project was divided into two phases. The first phase included development of a DSM technology database and the identification of Hawaii commercial building characteristics through on-site audits. These Phase 1 products were then used in Phase 2 to identify expected energy impacts from DSM measures in typical residential and commercial buildings in Hawaii. The building energy simulation model DOE-2.1E was utilized to identify the DSM energy impacts. More detailed information on the typical buildings and the DOE-2.1E modeling effort is available in Reference Volume 1, ``Building Prototype Analysis``. In addition to the DOE-2.1E analysis, estimates of residential and commercial sector gas and electric DSM potential for the four counties of Honolulu, Hawaii, Maui, and Kauai through 2014 were forecasted by the new DBEDT DSM Assessment Model. Results from DBEDTs energy forecasting model, ENERGY 2020, were linked with results from DOE-2.1E building energy simulation runs and estimates of DSM measure impacts, costs, lifetime, and anticipated market penetration rates in the DBEDT DSM Model. Through its algorithms, estimates of DSM potential for each forecast year were developed. Using the load shape information from the DOE-2.1E simulation runs, estimates of electric peak demand impacts were developed. Numerous tables and figures illustrating the technical potential for demand-side management are included.

NONE

1995-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand side case" 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

LEED Demand Response Credit: A Plan for Research towards Implementation  

E-Print Network [OSTI]

DR’s growing role in demand-side management activities andhow DR fits with demand-side management activities, DRemissions rates The demand-side management (DSM) framework

Kiliccote, Sila

2014-01-01T23:59:59.000Z

162

Coordination of Retail Demand Response with Midwest ISO Markets  

E-Print Network [OSTI]

Data Collection for Demand-side Management for QualifyingPrepared by Demand-side Management Task Force of the4. Status of Demand Side Management in Midwest ISO 5.

Bharvirkar, Ranjit

2008-01-01T23:59:59.000Z

163

Demand-based Optimal Control to Save Energy: A Case-Study in a Medical Center  

E-Print Network [OSTI]

be a demand, but those may not be readily available through a control system. The position of dampers and valves, room temperature, static pressure, or fan and pump speed are good indicators of demand for they can be read through the control..., December 15-17, 2008 Discharge Air Temperature Reset The control sequences optimization of supply air temperature reset in the SDVAV is similar to the cold deck temperature reset described in the DDCV above. Static Pressure Reset For the exiting...

Joo, I. S.; Song, L.; Liu, M.; Carico, M.

164

FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007  

E-Print Network [OSTI]

......................................................................... 11 3. Demand Side Management (DSM) Program Impacts................................... 13 4. Demand Sylvia Bender Manager DEMAND ANALYSIS OFFICE Scott W. Matthews Chief Deputy Director B.B. Blevins Forecast Methods and Models ....................................................... 14 5. Demand-Side

165

Development of cold seawater air conditioning systems for application as a demand side management tool for Hawaii and other subtropical climates  

SciTech Connect (OSTI)

Because of the proximity to deep cold seawater for many coastal regions in Hawaii and the high demand for air conditioning in large buildings, seawater air conditioning (SWAC) is a major potential sustainable energy resource for Hawaii and other subtropical regions of the world. The basic concept of seawater air conditioning is the use deep cold seawater to cool the chilled water in one or more air conditioned buildings as opposed to using energy intensive refrigeration systems. The economic viability of the seawater air conditioning is determined by comparing the construction and operating costs of the seawater supply system to the construction and operating costs of conventional air conditioning systems. The State of Hawaii commissioned an analysis to identify the technical and economic opportunities and limitations in the use of SWAC in Hawaii. The result of this work is a feasibility analysis of SWAC systems in the state and the potential associated energy savings. The study looked at the prospects of installing such a system at a major new resort development on Oahu called West Beach.

Kaya, M.H. [State of Hawaii, Honolulu, HI (United States). Dept. of Business, Economic Development, and Tourism

1996-10-01T23:59:59.000Z

166

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

Science Journals Connector (OSTI)

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

Andrew Ott

2014-01-01T23:59:59.000Z

167

Heterogeneous Responses to Water Conservation Programs: The Case of Residential Users in Los Angeles  

E-Print Network [OSTI]

Do residential water demand side management policies measurepurchased water, demand side management and reclaimed water

Hanemann, W. Michael; Nauges, Celine

2005-01-01T23:59:59.000Z

168

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

Science Journals Connector (OSTI)

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

Mohammed Hajeeh

2010-01-01T23:59:59.000Z

169

Demand Response  

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

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

170

Industrial Demand-Side Management in Texas  

E-Print Network [OSTI]

Cum. Peak Cum. MWH Cum. Peak Cum. MWH Participants MW Saved Saved MW incr. Increase 51 12.38 256 24 NA 1757 28.81 150,154 NA 25 300/yr 250/yr 200/yr 200/yr o 1.76 0 10,168 72 400 3.57 1.43 23,915 8,689 TNP TECH ASST on-going NA N... share of the dollar savings obtained through the installed measures. Request For Proposals (RFP) programs allow customers to submit specific conservation projects to utilities for funding. Bidding programs are similar. They differ from RFP...

Jaussaud, D.

171

The Concept of Demand-Side Management  

Science Journals Connector (OSTI)

The pattern of electricity consumption varies in the course of a day, typically reflecting the patterns of human activity — high during the day and low at night. This simple fact has fundamental implications o...

Veronika A. Rabl; Clark W. Gellings

1988-01-01T23:59:59.000Z

172

The Impact of Hedonism on Domestic Hot Water Energy Demand for Showering ? The Case of the Schanzenfest, Hamburg  

Science Journals Connector (OSTI)

The causes of variation in energy demand for hot water in showering or bathing ... was triangulated with electric meter data to examine energy use behaviours and explore changes in hot water demand. This occurred...

Stephen Lorimer; Marianne Jang; Korinna Thielen

2013-01-01T23:59:59.000Z

173

Demand Reduction  

Broader source: Energy.gov [DOE]

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

174

Smart Buildings and Demand Response  

Science Journals Connector (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 in buildings. 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 (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.

2011-01-01T23:59:59.000Z

175

Leveraging gamification in demand dispatch systems  

Science Journals Connector (OSTI)

Modern demand-side management techniques are an integral part of the envisioned smart grid paradigm. They require an active involvement of the consumer for an optimization of the grid's efficiency and a better utilization of renewable energy sources. ... Keywords: demand response, demand side management, direct load control, gamification, smart grid, sustainability

Benjamin Gnauk; Lars Dannecker; Martin Hahmann

2012-03-01T23:59:59.000Z

176

The business value of demand response for balance responsible parties.  

E-Print Network [OSTI]

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

Jonsson, Mattias

2014-01-01T23:59:59.000Z

177

Modeling, Analysis, and Control of Demand Response Resources.  

E-Print Network [OSTI]

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

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

178

Modeling, Analysis, and Control of Demand Response Resources.  

E-Print Network [OSTI]

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

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

179

LINEAR AND NON-LINEAR TECHNIQUES FOR ESTIMATING THE MONEY DEMAND FUNCTION: THE CASE OF SAUDI ARABIA  

E-Print Network [OSTI]

aggregates). The first approach is the conventional way, which is based on empirical literature where non-oil GDP is used as a measure for income. The second approach is the consumer demand approach to money demand. This approach emphasizes the use...

Alsahafi, Mamdooh

2009-07-31T23:59:59.000Z

180

Potential of air-side economizers for data center cooling: A case study for key Australian cities  

Science Journals Connector (OSTI)

The provision of low cost cooling is challenging due to high energy costs and increasing heat dissipation volumes from data centers. In Australia, with the introduction of emissions trading scheme, the cost of energy with carbon origin is expected to increase. In order to reduce cooling costs, alternative low cost cooling methods for data centers are highly sought after. In this study, we investigated using air-side economizers to introduce outside air with desired supply air conditions, by exploiting the cool and dry Australian climate conditions. Our approach was based on analyzing the hourly temperature and humidity data gathered over past 12 years for 20 weather monitoring stations across Australia representing all geographical regions and determining the potential of using air-side economizers for those locations. As the result, we demonstrated that there is a sizable potential for using air-side economizers in some states that could lead to significant savings on cooling costs to data center operators.

Jayantha Siriwardana; Saliya Jayasekara; Saman K. Halgamuge

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand side case" 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

Sustainable Campus Transportation through Transit Partnership and Transportation Demand Management: A Case Study from the University of Florida  

E-Print Network [OSTI]

A. 2005. The impacts of transportation demand management andUnlimited access. Transportation 28 (3): 233–267. Cervero,transit. Journal of Public Transportation 3 (4):10–19. ???.

Bond, Alex; Steiner, Ruth

2006-01-01T23:59:59.000Z

182

Exploring spatial variations in the relationships between residents' recreation demand and associated factors: A case study in Texas  

Science Journals Connector (OSTI)

Abstract In the field of outdoor recreation, past research has attempted to identify the relationships between the socioeconomic status of recreation participants and demand. This approach has used global regression models that focus on local or site-level recreation demand prediction. No studies have applied spatial statistical approaches to examine recreation demand at the state or regional level. The objectives of this study are twofold: 1) to identify socio-demographic and economic determinants of the spatial disparities of residents' demand for national park visitation; 2) to demonstrate the spatial variation in the relationship between residents' demand and its associated factors through a local regression modeling technique (GWR). The analysis was conducted at the county level for Texas, using public and private levels of secondary data. A particular version of OLS (ordinary least squares), stepwise regression, was used to select significant explanatory variables for developing the model. Six explanatory variables were selected for the modeling procedure: 1) older adults; 2) family structure (traditional vs. nonfamily structure); 3) recreation-related spending; 4) education, and 5) poverty rate. The study results found that the Moran's I value for national park visitation showed a positive spatial autocorrelation across the state which means that spatial distribution disparities of residents' recreation demand exist in Texas. The variable relationships differed by specific counties and spatially in predicting residents' demand. The GWR model made improvements in model performance over the OLS model. Overall, the strongest positive influence on national park visitation was found for those who spent $250 or more to purchase recreation-related equipment. In conducting future research, the GWR model is a useful statistical technique to examine and compare spatial relationships across regional study areas and can be complementary to global statistical analyses.

Kyung Hee Lee; Michael A. Schuett

2014-01-01T23:59:59.000Z

183

Business Case for Energy Efficiency in Support of Climate Change Mitigation, Economic and Societal Benefits in China  

E-Print Network [OSTI]

and Policy Can Deliver Demand-Side Management Benefits to aa portfolio of demand side management or energy efficiencymanufacturers, utility demand-side-management programs and

McNeil, Michael A.

2012-01-01T23:59:59.000Z

184

Energy demand  

Science Journals Connector (OSTI)

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

Geoffrey Greenhalgh

1980-01-01T23:59:59.000Z

185

Opportunities for Open Automated Demand Response in Wastewater Treatment Facilities in California - Phase II Report. San Luis Rey Wastewater Treatment Plant Case Study  

E-Print Network [OSTI]

your Power. (2008). "Demand Response Programs." RetrievedTool Berkeley, CA, Demand Response Research Center.2008). "What is Demand Response?" Retrieved 10/10/2008, from

Thompson, Lisa

2010-01-01T23:59:59.000Z

186

Demand response-enabled residential thermostat controls.  

E-Print Network [OSTI]

human dimension of demand response technology from a caseArens, E. , et al. 2008. Demand Response Enabling TechnologyArens, E. , et al. 2006. Demand Response Enabling Technology

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

2008-01-01T23:59:59.000Z

187

Comparative case studies of health reform in England  

E-Print Network [OSTI]

Comparative case studies of health reform in England Report submitted to the Department of Health........................................................................................14 1.1 Presenting the Health System Reform policy agenda...................................14 1 ..........................................................................................64 Demand Side Reform.........................................

Birmingham, University of

188

The Effect of Fuel Price on Demands for Road and Rail Travel: An Application to the French Case  

Science Journals Connector (OSTI)

Abstract This paper analyses the fuel price sensitivity of French traffic. Crucially, it develops the use of innovative econometric models. Partial adjustment models have been selected to represent traffic between 1990 and 2010. The road traffic model includes explanatory variables such as the fuel price, GDP, the length of the motorway network, and a lagged variable of traffic. Furthermore, a rail demand model including fuel price as an explanatory variable is also processed. In the short term, an increase of 10% in fuel price leads to a fall of 1,4% in the road traffic whereas in the long term, it leads to a fall of 2,8%.

Marianne Delsaut

2014-01-01T23:59:59.000Z

189

Building America Case Study: Excavationless Exterior-Side Foundation Insulation for Existing Homes, Minneapolis, Minnesota (Fact Sheet)  

SciTech Connect (OSTI)

Building science research supports installing exterior (soil side) foundation insulation as the optimal method to enhance the hygrothermal performance of new homes. With exterior foundation insulation, water management strategies are maximized while insulating the basement space and ensuring a more even temperature at the foundation wall. However, such an approach can be very costly and disruptive when applied to an existing home, requiring deep excavation around the entire house. The NorthernSTAR Building America Partnership team implemented an innovative, minimally invasive foundation insulation upgrade technique on an existing home. The approach consisted of using hydrovac excavation technology combined with a liquid insulating foam. The team was able to excavate a continuous 4" wide by 4' to 5' deep trench around the entire house, 128 linear feet, except for one small part under the stoop that was obstructed with concrete debris. The combination pressure washer and vacuum extraction technology also enabled the elimination of large trenches and soil stockpiles normally produced by backhoe excavation. The resulting trench was filled with liquid insulating foam, which also served as a water-control layer of the assembly. The insulation was brought above grade using a liquid foam/rigid foam hybrid system and terminated at the top of the rim joist. Cost savings over the traditional excavation process ranged from 23% to 50%. The excavationless process could result in even greater savings since replacement of building structures, exterior features, utility meters, and landscaping would be minimal or non-existent in an excavationless process.

NorthernSTAR

2014-09-01T23:59:59.000Z

190

On making energy demand and network constraints compatible in the last mile of the power grid  

Science Journals Connector (OSTI)

Abstract In the classical electricity grid power demand is nearly instantaneously matched by power supply. In this paradigm, the changes in power demand in a low voltage distribution grid are essentially nothing but a disturbance that is compensated for by control at the generators. The disadvantage of this methodology is that it necessarily leads to a transmission and distribution network that must cater for peak demand. So-called smart meters and smart grid technologies provide an opportunity to change this paradigm by using demand side energy storage to moderate instantaneous power demand so as to facilitate the supply-demand match within network limitations. A receding horizon model predictive control method can be used to implement this idea. In this paradigm demand is matched with supply, such that the required customer energy needs are met but power demand is moderated, while ensuring that power flow in the grid is maintained within the safe operating region, and in particular peak demand is limited. This enables a much higher utilisation of the available grid infrastructure, as it reduces the peak-to-base demand ratio as compared to the classical control methodology of power supply following power demand. This paper investigates this approach for matching energy demand to generation in the last mile of the power grid while maintaining all network constraints through a number of case studies involving the charging of electric vehicles in a typical suburban low voltage distribution network in Melbourne, Australia.

Iven Mareels; Julian de Hoog; Doreen Thomas; Marcus Brazil; Tansu Alpcan; Derek Jayasuriya; Valentin Müenzel; Lu Xia; Ramachandra Rao Kolluri

2014-01-01T23:59:59.000Z

191

Demand Response Spinning Reserve Demonstration  

SciTech Connect (OSTI)

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

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

2007-05-01T23:59:59.000Z

192

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

SciTech Connect (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.

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

2006-06-20T23:59:59.000Z

193

Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

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

194

INTEGRATION OF PV IN DEMAND RESPONSE  

E-Print Network [OSTI]

INTEGRATION OF PV IN DEMAND RESPONSE PROGRAMS Prepared by Richard Perez et al. NREL subcontract response programs. This is because PV generation acts as a catalyst to demand response, markedly enhancing by solid evidence from three utility case studies. BACKGROUND Demand Response: demand response (DR

Perez, Richard R.

195

Forecasting Energy Demand Using Fuzzy Seasonal Time Series  

Science Journals Connector (OSTI)

Demand side energy management has become an important issue for energy management. In order to support energy planning and policy decisions forecasting the future demand is very important. Thus, forecasting the f...

?Irem Uçal Sar?; Ba¸sar Öztay¸si

2012-01-01T23:59:59.000Z

196

Peer-to-peer aggregation for dynamic adjustments in power demand  

Science Journals Connector (OSTI)

Energy demand-side management becomes a well-established approach in the ... information is a critical operation performed by most demand-side energy management mechanisms as it provides information about the req...

Evangelos Pournaras; Martijn Warnier…

2014-01-01T23:59:59.000Z

197

Demand Response and Open Automated Demand Response  

E-Print Network [OSTI]

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

198

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

Science Journals Connector (OSTI)

In the domestic heating sector a number of different mathematical models are used to evaluate the economic viability of thermal retrofit measures. Currently, however, none of these models incorporate the effect of fuel price elasticity of demand. This paper offers a method for incorporating a factor for fuel price elasticity into models for assessing the net present value and payback time of thermal retrofits of existing homes. A set of working equations is developed, and empirically tested in a case study, a housing estate retrofit project in Ludwigshafen, Germany. The value used in these equations for year-on-year price elasticity, ?0.476, is derived from further empirical studies. The inclusion of price elasticity is found to lower the net present value by 14–24% and lengthen the payback time by 5 years in some cases, and hundreds of years in others. It also shows CO2 saved over the technical lifetime of the retrofit measures to be 15–24% lower than anticipated. These findings have implications for government policy and investment decisions of businesses, private households and housing providers.

Ray Galvin; Minna Sunikka-Blank

2012-01-01T23:59:59.000Z

199

Commercial & Industrial Demand Response  

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

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

200

High Temperatures & Electricity Demand  

E-Print Network [OSTI]

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

Note: This page contains sample records for the topic "demand side case" 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

Investigation of rolling horizon flexibility contracts in a supply chain under highly variable stochastic demand  

Science Journals Connector (OSTI)

......research-article Articles Demand Forecasting for Inventory Management Investigation of rolling...variable stochastic demand Patrick M. Walsh Peter...and supplier (CM) side of the RHF contract...the stochastic market demand. 3. Model description......

Patrick M. Walsh; Peter A. Williams; Cathal Heavey

2008-04-01T23:59:59.000Z

202

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

E-Print Network [OSTI]

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

Pedram, Massoud

203

The alchemy of demand response: turning demand into supply  

SciTech Connect (OSTI)

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

Rochlin, Cliff

2009-11-15T23:59:59.000Z

204

EIA - AEO2010 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

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

205

A fast chiller power demand response control strategy for buildings connected to smart grid  

Science Journals Connector (OSTI)

Abstract With the increasing integration of renewable energies into electrical grids, power imbalance has become one of the most critical issues in grid operations. The end-users at power demand side can actually make use of their demand reduction potentials to contribute to the grid power balance. Conventional demand responses of end-users can provide considerable power demand reductions, but the demand responses are usually subject to significant delay and cannot fulfill the needs of grid real time operation. In this paper, a fast chiller power demand response control strategy for commercial buildings is therefore proposed which facilitates buildings to act as grid “operating reserves” by providing rapid demand responses to grid request within minutes. However, simply shutting down some essential operating chillers would result in disordered chilled water flow distribution and uneven indoor thermal comfort degradation. This strategy has therefore taken essential measures to solve such problems effectively. Simulation case studies are conducted to investigate the operation dynamics and energy performance of HVAC systems in the demand response events controlled by the strategy. Results show that fast and significant power demand reductions can be achieved without sacrificing the thermal comfort too much.

Xue Xue; Shengwei Wang; Chengchu Yan; Borui Cui

2015-01-01T23:59:59.000Z

206

FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS  

E-Print Network [OSTI]

resources resulting in water stress. Effective water management ­ a solution Supply side management Demand side management #12;Developing a regression equation based on cluster analysis for forecasting waterFORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS by Bruce Bishop Professor of Civil

Keller, Arturo A.

207

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

Science Journals Connector (OSTI)

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

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

2015-01-01T23:59:59.000Z

208

Siding | Open Energy Information  

Open Energy Info (EERE)

search TODO: Add description List of Siding Incentives Retrieved from "http:en.openei.orgwindex.php?titleSiding&oldid267193" Category: Articles with outstanding TODO tasks...

209

Role of Standard Demand Response Signals for Advanced Automated Aggregation  

SciTech Connect (OSTI)

Emerging standards such as OpenADR enable Demand Response (DR) Resources to interact directly with Utilities and Independent System Operators to allow their facility automation equipment to respond to a variety of DR signals ranging from day ahead to real time ancillary services. In addition, there are Aggregators in today’s markets who are capable of bringing together collections of aggregated DR assets and selling them to the grid as a single resource. However, in most cases these aggregated resources are not automated and when they are, they typically use proprietary technologies. There is a need for a framework for dealing with aggregated resources that supports the following requirements: • Allows demand-side resources to participate in multiple DR markets ranging from wholesale ancillary services to retail tariffs without being completely committed to a single entity like an Aggregator; • Allow aggregated groups of demand-side resources to be formed in an ad hoc fashion to address specific grid-side issues and support the optimization of the collective response of an aggregated group along a number of different dimensions. This is important in order to taylor the aggregated performance envelope to the needs to of the grid; • Allow aggregated groups to be formed in a hierarchical fashion so that each group can participate in variety of markets from wholesale ancillary services to distribution level retail tariffs. This paper explores the issues of aggregated groups of DR resources as described above especially within the context of emerging smart grid standards and the role they will play in both the management and interaction of various grid-side entities with those resources.

Lawrence Berkeley National Laboratory; Kiliccote, Sila

2011-11-18T23:59:59.000Z

210

i-Energy: Smart Demand-Side Energy Management  

Science Journals Connector (OSTI)

Much of the discussion concerning smart grids focuses on the potential benefits of technological advances to power suppliers. However, there are many possible advantages that may benefit consumers as electricity ...

Takashi Matsuyama

2014-01-01T23:59:59.000Z

211

Smart Grids Operation with Distributed Generation and Demand Side Management  

Science Journals Connector (OSTI)

The integration of Distributed Generation (DG) based on renewable sources in the Smart Grids (SGs) is considered a challenging task because of the problems arising for the intermittent nature of the sources (e.g....

C. Cecati; C. Citro; A. Piccolo; P. Siano

2012-01-01T23:59:59.000Z

212

Long Term Options for Energy Supply and Demand Side Management  

Science Journals Connector (OSTI)

A great deal has been said and written about future energy options and the need for responsibility and caution in protecting the world’s natural environment. Clearly, energy policies and environmental policies...

Tom Morron; Fred Denny

1993-01-01T23:59:59.000Z

213

Schumpeter Versus Keynes: Supply-Side Economics or Demand Management?  

Science Journals Connector (OSTI)

The year 1883 witnessed the birth of two great economists, Joseph Alois Schumpeter and John Maynard Keynes, and the death of another great economist, Karl Marx. Schumpeter, a devoted subject of the Austro-Hung...

Christian Seidl

1984-01-01T23:59:59.000Z

214

Impact on Implementing Demand Side Management in Residential Sector  

Science Journals Connector (OSTI)

Residential electricity consumption in Malaysia increased at a rate of 14% per year between 1993 to 1997. In 1998, over 60% of population lived in urban areas. The growth of urban population at a rate of 4% per a...

H. A. Rahman; M. S. Majid; M. Y. Hassan…

2001-01-01T23:59:59.000Z

215

Vom Demand-Side Management zum Strategischen Marktmanagement im Strommarkt  

Science Journals Connector (OSTI)

Die Deregulierung des Strommarktes wirkt sich in keinem anderen betrieblichen Funktionsbereich der Stromanbieter so radikal aus, wie im Marketing. Erforderlich sind nicht nur vielfältige Änderungen der Gestaltung...

Eberhard Kuhlmann

2001-01-01T23:59:59.000Z

216

A Demand-Side Management Experience in Existing Building Commissioning  

E-Print Network [OSTI]

guidelines, and performing due-diligence technical review. The structured program process follows the recommissioning phases and activities identified by PECI (ORNL 1999). The basic program phases include the Planning Phase, Investigation Phase... Laboratory (ORNL), Report No. ORNL/TM- 1999/34, April 1999. Kessler, Helen, Christopher Philbrick, Roger Hill and George Malek, Maintenance, Operations and Repairs (MORES) ? A Utility Recommissining Program, Proceedings of the 7th National Conference...

Franconi, E.; Selch, M.; Bradford, J.; Gruen, B.

2003-01-01T23:59:59.000Z

217

Industrial Rates and Demand-Side Management Programs  

E-Print Network [OSTI]

in Texas offer minimal industrial load management or conservation programs at this time, examples from other utilities may serve as a guide for further program improvements. The Bonneville Power Administration's Aluminum Smelter Conservation...,928,250 31.8% Texas Total 49,521 13,804 25.8% 93,847,494 36.9% wI Self-Gen 49,521 17,619 30.7% 119,841042 42.8% Note: Utilities are: TV Electric, Houston Lighting & Power, GulfStates Utilities, Central Power and Light, City Public Service (San Antonio...

Kasprowicz, L. M.; House, R.

218

Emerging Technologies for Industrial Demand-Side Management  

E-Print Network [OSTI]

this problem is to move the loads from peak to off-peak periods without changing overall electricity consumption. By using cool storage systems, energy consumption for businesses and industry can be shifted, reducing electricity costs to the consumer...

Neely, J. E.; Kasprowicz, L. M.

219

Demand Side Dispatching, Part 2: An Industrial Application  

E-Print Network [OSTI]

the operating policy of their plant utilities (boilers, turbines, chillers, etc.) in response to varying power costs. The main reason for these missed opportunities is a lack of suitable dispatching programs. A key component of successful DSM programs...

Nath, R.; Cerget, D. A.; Henderson, E. T.

220

Advanced Demand Responsive Lighting  

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

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

Note: This page contains sample records for the topic "demand side case" 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

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network [OSTI]

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

Shen, Bo

2013-01-01T23:59:59.000Z

222

A novel air-conditioning system for proactive power demand response to smart grid  

Science Journals Connector (OSTI)

Abstract Power demand response is considered as one of the most promising solutions in relieving the power imbalance of an electrical grid that results a series of critical problems to the gird and end-users. In order to effectively make use of the demand response potentials of buildings, this paper presents a novel air-conditioning system with proactive demand control for daily load shifting and real time power balance in the developing smart grid. This system consists of a chilled water storage system (CWS) and a temperature and humidity independent control (THIC) air-conditioning system, which can significantly reduce the storage volume of the chilled water tank and effectively enable a building with more flexibility in changing its electricity usage patterns. The power demand of the proposed air-conditioning system can be flexibly controlled as desired by implementing two types of demand response strategies: demand side bidding (DSB) strategy and demand as frequency controlled reserve (DFR) strategy, in respond to the day-ahead and hour-ahead power change requirements of the grid, respectively. Considerable benefits (e.g., energy and cost savings) can be achieved for both the electricity utilities and building owners under incentive pricing or tariffs. A case study is conducted in a simulation platform to demonstrate the application of the proposed system in an office building.

Chengchu Yan; Xue Xue; Shengwei Wang; Borui Cui

2014-01-01T23:59:59.000Z

223

Demand Response and Open Automated Demand Response Opportunities for Data Centers  

E-Print Network [OSTI]

or air-side economizers can be used in some data centers toair-cooled chillers and might have a water-side economizer. Few data centersdata center DR strategies using case studies and technologies for water or air-side economizers,

Mares, K.C.

2010-01-01T23:59:59.000Z

224

Residential Energy Demand Reduction Analysis and Monitoring Platform - REDRAMP  

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

Dramatic Peak Residential Dramatic Peak Residential Demand Reduction in the Desert Southwest Yahia Baghzouz Center for Energy Research University of Nevada, Las Vegas Golden, CO Overview * Project description * Subdivision energy efficiency features * Home energy monitoring * Demand side management * Feeder loading * Battery Energy Storage System * Future Work Team Members Project Objective and Methodology * The main objective is to reduce peak power demand of a housing subdivision by 65% (compared to housing development that is built to conventional code). * This objective will be achieved by - Energy efficient home construction with roof- integrated PV system - Demand Side Management - Battery Energy Storage System Project schematic Diagram Project Physical Location: Las Vegas, NV Red Rock Hotel/Casino

225

Mass Market Demand Response  

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

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

226

A new wholesale bidding mechanism for enhanced demand response in smart grids  

E-Print Network [OSTI]

Calls to improve customer participation as a key element of smart grids have reinvigorated interest in demand-side features such as distributed generation, on-site storage and demand response. In the context of deregulated ...

Wang, Jiankang

227

Optimum Generation Scheduling Based Dynamic Price Making for Demand Response in a Smart Power Grid  

Science Journals Connector (OSTI)

Smart grid is a recently growing area of research including optimum and reliable operation of bulk power grid from production to end-user premises. Demand side activities like demand response (DR) for enabling co...

Nikolaos G. Paterakis; Ozan Erdinc…

2014-01-01T23:59:59.000Z

228

LEAPs and Bounds—an Energy Demand and Constraint Optimised Model of the Irish Energy System  

Science Journals Connector (OSTI)

This paper builds a model of energy demand and supply for Ireland with a focus on evaluating, and providing insights for, energy efficiency policies. The demand-side comprises sectoral sub-models, with a ... line...

Fionn Rogan; Caiman J. Cahill; Hannah E. Daly; Denis Dineen…

2014-06-01T23:59:59.000Z

229

Demand Response Assessment INTRODUCTION  

E-Print Network [OSTI]

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

230

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

E-Print Network [OSTI]

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

Gross, George

231

Climate change mitigation and co-benefits of feasible transport demand policies in Beijing  

E-Print Network [OSTI]

i n f o Keywords: Climate change mitigation Transport demand management External costs Urban and potential impacts of travel demand management help to define policy instruments that mitigate the damaging. The paper investi- gates the role of demand elasticities and demonstrates that joint demand and supply-side

Kammen, Daniel M.

232

Mass Market Demand Response and Variable Generation Integration Issues: A  

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

233

Comfort demand leading the optimization to energy supply from the Smart Grid  

E-Print Network [OSTI]

). The control of loads in the building, may also be a resource to the grid using the flexibilities in service of the grid in Demand Side Management (DSM) scenarios as so called Demand Response (DR) or Load Control (LC). (Callaway and Hiskens 2011) However... of energy management, building management, and comfort management have to be developed to anticipate on the coming possible changes on Demand Side Management by Demand Response (DR) and Load Control (LC). This study is a first step towards...

Aduba,K.; Zeiler,W.; Boxem,G.

2014-01-01T23:59:59.000Z

234

Electricity demand analysis - unconstrained vs constrained scenarios  

Science Journals Connector (OSTI)

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

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

2003-01-01T23:59:59.000Z

235

Demand response enabling technology development  

E-Print Network [OSTI]

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

2006-01-01T23:59:59.000Z

236

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

237

Cross-sector Demand Response  

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

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

238

Demand Response Programs for Oregon  

E-Print Network [OSTI]

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

239

Demand response enabling technology development  

E-Print Network [OSTI]

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

Arens, Edward; Auslander, David; Huizenga, Charlie

2008-01-01T23:59:59.000Z

240

Automated Demand Response and Commissioning  

E-Print Network [OSTI]

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

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

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand side case" 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

Demand Response In California  

Broader source: Energy.gov [DOE]

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

242

Energy Demand Forecasting  

Science Journals Connector (OSTI)

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

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

243

SIDES: A Cooperative Tabletop Computer Game for Social Skills Development  

E-Print Network [OSTI]

This paper presents a design case study of SIDES: Shared Interfaces to Develop Effective Social Skills. SIDES's Syndrome, practice effective group work skills using a four-player cooperative computer game that runs on tabletop technology. We present the design process and evaluation of SIDES conducted over a period of six

Stanford University

244

Water and Energy Savings using Demand Hot Water Recirculating Systems in Residential Homes: A Case Study of Five Homes in Palo Alto, California  

SciTech Connect (OSTI)

This report summarizes a preliminary study aimed at estimating the potential of saving potable water, (and the electrical energy used to heat it), that is presently lost directly to the drain while occupants wait for hot water to arrive at the faucet (point of use). Data were collected from five single-family homes in Palo Alto, California. Despite the small sample size in this study, the results make a compelling case for retrofitting homes with hot water recirculation systems to eliminate unnecessary wastage of water at the point of use. Technical as well as behavioral and attitudinal changes towards water conservation are necessary for a fulfilling and successful conservation effort. This report focuses on the technical issues, but behavioral issues are also noted, which may be factored into future studies involving local and state governments and utility companies.

Ally, M.R.

2002-11-14T23:59:59.000Z

245

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

246

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

247

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

248

demand | OpenEI  

Open Energy Info (EERE)

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

249

RTP Customer Demand Response  

Science Journals Connector (OSTI)

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

Steven Braithwait; Michael O’Sheasy

2002-01-01T23:59:59.000Z

250

World Energy Demand  

Science Journals Connector (OSTI)

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

Giovanni Petrecca

2014-01-01T23:59:59.000Z

251

Transportation Demand This  

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

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

252

Examining Synergies between Energy Management and Demand Response: A  

E-Print Network [OSTI]

LBNL-5719E Examining Synergies between Energy Management and Demand Response: A Case Study at Two Summary #12;Introduction Energy Management · · · · · · · · · · #12;Demand Response #12;#12;Bentley Prince-Project Personnel Changes #12;Enablement of Demand Response Capabilities due to Energy Management Improvement

253

Strategies for Demand Response in Commercial Buildings  

SciTech Connect (OSTI)

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

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

2006-06-20T23:59:59.000Z

254

Appendix D: Results from side cases  

Gasoline and Diesel Fuel Update (EIA)

Federal Highway Administration, Highway Statistics 2010 (Washington, DC, February 2012); Oak Ridge National Laboratory, Transportation Energy Data Book: Edition 31 (Oak Ridge, TN,...

255

Demand Response Architectures and Load Management Algorithms for Energy-Efficient Power Grids: A Survey  

Science Journals Connector (OSTI)

A power grid has four segments: generation, transmission, distribution and demand. Until now, utilities have been focusing on streamlining their generation, transmission and distribution operations for energy efficiency. While loads have traditionally ... Keywords: Smart grid, energy efficiency, demand-side load management, demand response, load shifting

Yee Wei Law; Tansu Alpcan; Vincent C. S. Lee; Anthony Lo; Slaven Marusic; Marimuthu Palaniswami

2012-11-01T23:59:59.000Z

256

Service facilities with Markovian demand and deterministic supply with an application in repair modelling  

Science Journals Connector (OSTI)

......calculus|supply and demand|transient analysis...SCILAB| IMA Journal of Management Mathematics (2010...facilities with Markovian demand and deterministic supply...result on deterministic demand and Markovian supply...event on the left-hand side of (2) can be rewritten......

Attila Csenki

2010-10-01T23:59:59.000Z

257

Cautious Risk-Takers: Investor Preferences and Demand for Active Management  

E-Print Network [OSTI]

Cautious Risk-Takers: Investor Preferences and Demand for Active Management Valery Polkovnichenko and Demand for Active Management Abstract Actively managed mutual funds have distinct return distributions from the equally important side of investor demand. We take funds returns as given and use them

O'Toole, Alice J.

258

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

259

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

260

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand side case" 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

Unlocking the potential for efficiency and demand response through advanced  

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

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

262

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

263

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

264

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

265

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

266

Scenario Analysis of Peak Demand Savings for Commercial Buildings with  

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

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

267

Demand Response In California  

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

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

268

On Demand Guarantees in Iran.  

E-Print Network [OSTI]

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

Ahvenainen, Laura

2009-01-01T23:59:59.000Z

269

Energy Demand Staff Scientist  

E-Print Network [OSTI]

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

Eisen, Michael

270

Energy Demand Modeling  

Science Journals Connector (OSTI)

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

S. L. Schwartz

1980-01-01T23:59:59.000Z

271

A demand responsive bidding mechanism with price elasticity matrix in wholesale electricity pools ; A demand responsive bidding mechanism with price elasticity matrix .  

E-Print Network [OSTI]

??In the past several decades, many demand-side participation features have been applied in the electricity power systems. These features, such as distributed generation, on-site storage… (more)

Wang, Jiankang, Ph. D. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

272

Solar in Demand | Department of Energy  

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

Solar in Demand Solar in Demand Solar in Demand June 15, 2012 - 10:23am Addthis Kyle Travis, left and Jon Jackson, with Lighthouse Solar, install microcrystalline PV modules on top of Kevin Donovan's town home. | Credit: Dennis Schroeder. Kyle Travis, left and Jon Jackson, with Lighthouse Solar, install microcrystalline PV modules on top of Kevin Donovan's town home. | Credit: Dennis Schroeder. April Saylor April Saylor Former Digital Outreach Strategist, Office of Public Affairs What does this mean for me? A new study says U.S. developers are likely to install about 3,300 megawatts of solar panels in 2012 -- almost twice the amount installed last year. In case you missed it... This week, the Wall Street Journal published an article, "U.S. Solar-Panel Demand Expected to Double," highlighting the successes of

273

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

274

Integrated Predictive Demand Response Controller Research Project |  

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

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

275

EIA - AEO2010 - Natural Gas Demand  

Gasoline and Diesel Fuel Update (EIA)

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

276

A Look Ahead at Demand Response in New England  

SciTech Connect (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

277

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

278

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

279

Modeling, Analysis, and Control of Demand Response Resources  

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

Modeling, Analysis, and Control of Demand Response Resources Modeling, Analysis, and Control of Demand Response Resources Speaker(s): Johanna Mathieu Date: April 27, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Sila Kiliccote While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can play an active role in power systems via Demand Response (DR). Recent DR programs have focused on peak load reduction in commercial buildings and industrial facilities (C&I facilities). We present a regression-based baseline model, which allows us to quantify DR performance. We use this baseline model to understand the performance of C&I facilities participating in an automated dynamic pricing DR program in California. In this program, facilities are

280

Ethanol Demand in United States Gasoline Production  

SciTech Connect (OSTI)

The Oak Ridge National Laboratory (OWL) Refinery Yield Model (RYM) has been used to estimate the demand for ethanol in U.S. gasoline production in year 2010. Study cases examine ethanol demand with variations in world oil price, cost of competing oxygenate, ethanol value, and gasoline specifications. For combined-regions outside California summer ethanol demand is dominated by conventional gasoline (CG) because the premised share of reformulated gasoline (RFG) production is relatively low and because CG offers greater flexibility for blending high vapor pressure components like ethanol. Vapor pressure advantages disappear for winter CG, but total ethanol used in winter RFG remains low because of the low RFG production share. In California, relatively less ethanol is used in CG because the RFG production share is very high. During the winter in California, there is a significant increase in use of ethanol in RFG, as ethanol displaces lower-vapor-pressure ethers. Estimated U.S. ethanol demand is a function of the refiner value of ethanol. For example, ethanol demand for reference conditions in year 2010 is 2 billion gallons per year (BGY) at a refiner value of $1.00 per gallon (1996 dollars), and 9 BGY at a refiner value of $0.60 per gallon. Ethanol demand could be increased with higher oil prices, or by changes in gasoline specifications for oxygen content, sulfur content, emissions of volatile organic compounds (VOCS), and octane numbers.

Hadder, G.R.

1998-11-24T23:59:59.000Z

Note: This page contains sample records for the topic "demand side case" 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

Water supply and demand in an energy supply model  

SciTech Connect (OSTI)

This report describes a tool for water and energy-related policy analysis, the development of a water supply and demand sector in a linear programming model of energy supply in the United States. The model allows adjustments in the input mix and plant siting in response to water scarcity. Thus, on the demand side energy conversion facilities can substitute more costly dry cooling systems for conventional evaporative systems. On the supply side groundwater and water purchased from irrigators are available as more costly alternatives to unappropriated surface water. Water supply data is developed for 30 regions in 10 Western states. Preliminary results for a 1990 energy demand scenario suggest that, at this level of spatial analysis, water availability plays a minor role in plant siting. Future policy applications of the modeling system are discussed including the evaluation of alternative patterns of synthetic fuels development.

Abbey, D; Loose, V

1980-12-01T23:59:59.000Z

282

Home Network Technologies and Automating Demand Response  

SciTech Connect (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

283

Demand Response | Department of Energy  

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

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

284

Understanding and Analysing Energy Demand  

Science Journals Connector (OSTI)

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

Subhes C. Bhattacharyya

2011-01-01T23:59:59.000Z

285

Demand Response: Load Management Programs  

E-Print Network [OSTI]

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

Simon, J.

2012-01-01T23:59:59.000Z

286

Demand Charges | Open Energy Information  

Open Energy Info (EERE)

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

287

Assessment of Demand Response Resource  

E-Print Network [OSTI]

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

288

ERCOT Demand Response Paul Wattles  

E-Print Network [OSTI]

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

Mohsenian-Rad, Hamed

289

Pricing data center demand response  

Science Journals Connector (OSTI)

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

Zhenhua Liu; Iris Liu; Steven Low; Adam Wierman

2014-06-01T23:59:59.000Z

290

Opportunities for Automated Demand Response in Wastewater Treatment  

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

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

291

The Quantum Side of Photosynthesis  

Science Journals Connector (OSTI)

The Quantum Side of Photosynthesis ... But evidence is mounting that photosynthetic organisms may, in fact, capitalize on quantum effects to harness the sun’s rays. ...

JYLLIAN KEMSLEY

2012-02-19T23:59:59.000Z

292

Issues in investment risk : a supply-side and demand-side analysis of the Australian managed fund industry.  

E-Print Network [OSTI]

??The investment management industry has proven to be a fertile ground for theoretical and empirical research over the past forty years, particularly in relation to… (more)

Hallahan, T

2005-01-01T23:59:59.000Z

293

Overview of Demand Response  

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

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

294

Economic evaluation of demand response in power systems with high wind power penetration  

Science Journals Connector (OSTI)

The penetration of wind power generation is expected to increase in power systems dramatically. The unpredictable nature of the wind generation poses an obstacle to high penetration of wind energy in the electric power systems. Demand response (DR) may be considered as an efficient approach to cope with the energy unbalances caused by the wind power intermittency. Fair mechanism for pricing of the DR may increase the demand-side participation which consequently facilitates wind power integration in the power systems. This paper focuses on the economic evaluation of the DR according to its potential for mitigating the wind power forecast error in the power system operation. Demand increase similar to the demand curtailment is considered as a DR resource and evaluated in this paper. For this purpose first an insight is provided into the power system operation under the high wind power penetration with the aim of extracting the DR benefits. Based on the DR benefits a mathematical model is developed to find the maximum monetary incentive for the DR that the system operator is willing to pay to the DR providers. In the proposed model DR's potential in reducing the cost of supplying load as well as its capability in reducing the cost of system reserve start up and shut down of units load shedding and wind power spillage are considered. The results of the proposed evaluation method provide valuable information for both the system operator and demand response providers. The proposed method is implemented on an example and a realistic case study and discussions on results are presented.

2014-01-01T23:59:59.000Z

295

Oxygenate Supply/Demand Balances  

Gasoline and Diesel Fuel Update (EIA)

Oxygenate Supply/Demand Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model By Tancred C.M. Lidderdale This article first appeared in the Short-Term Energy Outlook Annual Supplement 1995, Energy Information Administration, DOE/EIA-0202(95) (Washington, DC, July 1995), pp. 33-42, 83-85. The regression results and historical data for production, inventories, and imports have been updated in this presentation. Contents * Introduction o Table 1. Oxygenate production capacity and demand * Oxygenate demand o Table 2. Estimated RFG demand share - mandated RFG areas, January 1998 * Fuel ethanol supply and demand balance o Table 3. Fuel ethanol annual statistics * MTBE supply and demand balance o Table 4. EIA MTBE annual statistics * Refinery balances

296

Modeling and integration of demand response and demand side resources for smart grid application in distribution systems.  

E-Print Network [OSTI]

??Today’s electric grid is undergoing drastic changes to evolve into a smart grid. Deregulation of the integrated and monopolistic power system into genco, transco and… (more)

Venkatesan, Naveen.

2011-01-01T23:59:59.000Z

297

Quantifying flexibility of residential thermostatically controlled loads for demand response: a data-driven approach  

Science Journals Connector (OSTI)

Power systems are undergoing a paradigm shift due to the influx of variable renewable generation to the supply side. The resulting increased uncertainty has system operators looking to new resources, enabled by smart grid technologies, on the demand ... Keywords: demand response, inverse building model, load shedding, thermostatically controlled loads

Emre Can Kara; Michaelangelo D. Tabone; Jason S. MacDonald; Duncan S. Callaway; Sila Kiliccote

2014-11-01T23:59:59.000Z

298

Demand response implementation in a home area network: A conceptual hardware architecture  

Science Journals Connector (OSTI)

Demand response (DR) is an important demand-side resource that allows for lower electricity consumption when the system is under stress. This paper presents a DR framework that can be implemented within a home area network, as well as a conceptual hardware ...

M. Pipattanasomporn; M. Kuzlu; S. Rahman

2012-01-01T23:59:59.000Z

299

Demand Response Programs, 6. edition  

SciTech Connect (OSTI)

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

NONE

2007-10-15T23:59:59.000Z

300

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

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

Levy, Roger

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand side case" 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

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

302

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

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

Levy, Roger

2014-01-01T23:59:59.000Z

303

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

304

Barrier Immune Radio Communications for Demand Response  

E-Print Network [OSTI]

of Fully Automated Demand Response in Large Facilities,”Fully Automated Demand Response Tests in Large Facilities.for Automated Demand Response. Technical Document to

Rubinstein, Francis

2010-01-01T23:59:59.000Z

305

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

306

Home Network Technologies and Automating Demand Response  

E-Print Network [OSTI]

and Automating Demand Response Charles McParland, Lawrenceand Automating Demand Response Charles McParland, LBNLCommercial and Residential Demand Response Overview of the

McParland, Charles

2010-01-01T23:59:59.000Z

307

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

308

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

309

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

310

China's Coal: Demand, Constraints, and Externalities  

E-Print Network [OSTI]

raising transportation oil demand. Growing internationalcoal by wire could reduce oil demand by stemming coal roadEastern oil production. The rapid growth of coal demand

Aden, Nathaniel

2010-01-01T23:59:59.000Z

311

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network [OSTI]

World: Renewable Energy and Demand Response Proliferation intogether the renewable energy and demand response communityimpacts of renewable energy and demand response integration

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

312

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

District Small Business Summer Solutions: Energy and DemandSummer Solutions: Energy and Demand Impacts Monthly Energy> B-2 Coordination of Energy Efficiency and Demand Response

Goldman, Charles

2010-01-01T23:59:59.000Z

313

electricity demand | OpenEI  

Open Energy Info (EERE)

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

314

Annual World Oil Demand Growth  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Following relatively small increases of 1.3 million barrels per day in 1999 and 0.9 million barrels per day in 2000, EIA is estimating world demand may grow by 1.6 million barrels per day in 2001. Of this increase, about 3/5 comes from non-OECD countries, while U.S. oil demand growth represents more than half of the growth projected in OECD countries. Demand in Asia grew steadily during most of the 1990s, with 1991-1997 average growth per year at just above 0.8 million barrels per day. However, in 1998, demand dropped by 0.3 million barrels per day as a result of the Asian economic crisis that year. Since 1998, annual growth in oil demand has rebounded, but has not yet reached the average growth seen during 1991-1997. In the Former Soviet Union, oil demand plummeted during most of the

315

Harnessing the power of demand  

SciTech Connect (OSTI)

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

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

2008-03-15T23:59:59.000Z

316

China, India demand cushions prices  

SciTech Connect (OSTI)

Despite the hopes of coal consumers, coal prices did not plummet in 2006 as demand stayed firm. China and India's growing economies, coupled with solid supply-demand fundamentals in North America and Europe, and highly volatile prices for alternatives are likely to keep physical coal prices from wide swings in the coming year.

Boyle, M.

2006-11-15T23:59:59.000Z

317

Honeywell Demonstrates Automated Demand Response Benefits for...  

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

Honeywell Demonstrates Automated Demand Response Benefits for Utility, Commercial, and Industrial Customers Honeywell Demonstrates Automated Demand Response Benefits for Utility,...

318

Automated Demand Response and Commissioning  

SciTech Connect (OSTI)

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

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

2005-04-01T23:59:59.000Z

319

Demand Activated Manufacturing Architecture  

SciTech Connect (OSTI)

Honeywell Federal Manufacturing & Technologies (FM&T) engineers John Zimmerman and Tom Bender directed separate projects within this CRADA. This Project Accomplishments Summary contains their reports independently. Zimmerman: In 1998 Honeywell FM&T partnered with the Demand Activated Manufacturing Architecture (DAMA) Cooperative Business Management Program to pilot the Supply Chain Integration Planning Prototype (SCIP). At the time, FM&T was developing an enterprise-wide supply chain management prototype called the Integrated Programmatic Scheduling System (IPSS) to improve the DOE's Nuclear Weapons Complex (NWC) supply chain. In the CRADA partnership, FM&T provided the IPSS technical and business infrastructure as a test bed for SCIP technology, and this would provide FM&T the opportunity to evaluate SCIP as the central schedule engine and decision support tool for IPSS. FM&T agreed to do the bulk of the work for piloting SCIP. In support of that aim, DAMA needed specific DOE Defense Programs opportunities to prove the value of its supply chain architecture and tools. In this partnership, FM&T teamed with Sandia National Labs (SNL), Division 6534, the other DAMA partner and developer of SCIP. FM&T tested SCIP in 1998 and 1999. Testing ended in 1999 when DAMA CRADA funding for FM&T ceased. Before entering the partnership, FM&T discovered that the DAMA SCIP technology had an array of applications in strategic, tactical, and operational planning and scheduling. At the time, FM&T planned to improve its supply chain performance by modernizing the NWC-wide planning and scheduling business processes and tools. The modernization took the form of a distributed client-server planning and scheduling system (IPSS) for planners and schedulers to use throughout the NWC on desktops through an off-the-shelf WEB browser. The planning and scheduling process within the NWC then, and today, is a labor-intensive paper-based method that plans and schedules more than 8,000 shipped parts per month based on more than 50 manually-created document types. The fact that DAMA and FM&T desired to move from paper-based manual architectures to digitally based computer architectures gave further incentive for the partnership to grow. FM&T's greatest strength was its knowledge of NWC-wide scheduling and planning with its role as the NWC leader in manufacturing logistics. DAMA's asset was its new knowledge gained in the research and development of advanced architectures and tools for supply chain management in the textiles industry. These complimentary strengths allowed the two parties to provide both the context and the tools for the pilot. Bender: Honeywell FM&T participated in a four-site supply chain project, also referred to as an Inter-Enterprise Pipeline Evaluation. The MSAD project was selected because it involves four NWC sites: FM&T, Pantex, Los Alamos National Laboratory (LANL), and Lawrence Livermore National Laboratory (LLNL). FM&T had previously participated with Los Alamos National Laboratory in FY98 to model a two-site supply chain project, between FM&T and LANL. Evaluation of a Supply Chain Methodology is a subset of the DAMA project for the AMTEX consortium. LANL organization TSA-7, Enterprise Modeling and Simulation, has been involved in AMTEX and DAMA through development of process models and simulations for LANL, the NWC, and others. The FY 1998 and this FY 1999 projects directly involved collaboration between Honeywell and the Enterprise Modeling and Simulation (TSA-7) and Detonation Science and Technology (DX1) organizations at LANL.

Bender, T.R.; Zimmerman, J.J.

2001-02-07T23:59:59.000Z

320

E-Print Network 3.0 - azobenzene side groups Sample Search Results  

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

groups; in case the trans-cis photo... a hydrophobically modified poly(acrylic acid) (PAA) containing a number of azobenzene side groups is asso- ciated... PNIPAM structure...

Note: This page contains sample records for the topic "demand side case" 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

Automated Demand Response Technologies and Demonstration in New York City  

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

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

322

Side by Side Testing of Water Heating Systems  

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

Florida Florida A Research Institute of the University of Central Florida Side by Side Testing of Water Heating Systems Residential Energy Efficiency Stakeholder Meeting Austin , Texas March 1st, 2012 Carlos J. Colon carlos@fsec.ucf.edu FLORIDA SOLAR ENERGY CENTER - A Research Institute of the University of Central Florida Hot Water Systems (HWS) Laboratory FSEC Cocoa, Florida 3 2009 -Present (Currently in third testing rotation) FLORIDA SOLAR ENERGY CENTER - A Research Institute of the University of Central Florida Underground Circulation Loop * Solar circulation Loop 140+ feet of ½" copper tubing * Encased in PVC tubing with R-2.4 insulation * ICS to 50 gallon storage tank path need to

323

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

global gasoline and diesel price and income elasticities.shift in the short-run price elasticity of gasoline demand.Habits and Uncertain Relative Prices: Simulating Petrol Con-

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

324

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

SciTech Connect (OSTI)

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

Han, Junqiao; Piette, Mary Ann

2007-11-30T23:59:59.000Z

325

Safeguards Education and Training: Short Term Supply vs. Demand  

SciTech Connect (OSTI)

Much has been written and discussed in the past several years about the effect of the aging nuclear workforce on the sustainability of the U.S. safeguards and security infrastructure. This paper discusses the 10-15 year supply and demand forecast for nuclear material control and accounting specialists. The demand side of the review includes control and accounting of the materials at U.S. DOE and NRC facilities, and the federal oversight of those MC&A programs. The cadre of experts referred to as 'MC&A Specialists' available to meet the demand goes beyond domestic MC&A to include international programs, regulatory and inspection support, and so on.

Mathews, Carrie E.; Crawford, Cary E.

2004-07-16T23:59:59.000Z

326

Electricity demand and supply projections for Indian economy  

Science Journals Connector (OSTI)

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

Subhash Mallah; N.K. Bansal

2009-01-01T23:59:59.000Z

327

Introduction to Commercial Building Control Strategies and Techniques for Demand Response -- Appendices  

SciTech Connect (OSTI)

There are 3 appendices listed: (A) DR strategies for HVAC systems; (B) Summary of DR strategies; and (C) Case study of advanced demand response.

Motegi, N.; Piette, M.A.; Watson, D.S.; Kiliccote, S.; Xu, P.

2007-05-01T23:59:59.000Z

328

Demand forecasting for multiple slow-moving items with short requests history and unequal demand variance  

Science Journals Connector (OSTI)

Modeling the lead-time demand for the multiple slow-moving inventory items in the case when the available requests history is very short is a challenge for inventory management. The classical forecasting technique, which is based on the aggregation of the stock keeping units to overcome the mentioned historical data peculiarity, is known to lead to very poor performance in many cases important for industrial applications. An alternative approach to the demand forecasting for the considered problem is based on the Bayesian paradigm, when the initially developed population-averaged demand probability distribution is modified for each item using its specific requests history. This paper follows this approach and presents a new model, which relies on the beta distribution as a prior for the request probability, and allows to account for disparity in variance of demand between different stock keeping units. To estimate the model parameters, a special computationally effective technique based on the generalized method of moments is developed. Simulation results indicate the superiority of the proposed model over the known ones, while the computational burden does not increase.

Alexandre Dolgui; Maksim Pashkevich

2008-01-01T23:59:59.000Z

329

building demand | OpenEI  

Open Energy Info (EERE)

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

330

Demand Response Research in Spain  

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

331

Full Rank Rational Demand Systems  

E-Print Network [OSTI]

as a nominal income full rank QES. R EFERENCES (A.84)S. G. Donald. “Inferring the Rank of a Matrix. ” Journal of97-102. . “A Demand System Rank Theorem. ” Econometrica 57 (

LaFrance, Jeffrey T; Pope, Rulon D.

2006-01-01T23:59:59.000Z

332

Demand Forecasting of New Products  

E-Print Network [OSTI]

Keeping Unit or SKU) employing attribute analysis techniques. The objective of this thesis is to improve Abstract This thesis is a study into the demand forecasting of new products (also referred to as Stock

Sun, Yu

333

Demand Response and Energy Efficiency  

E-Print Network [OSTI]

Demand Response & Energy Efficiency International Conference for Enhanced Building Operations ESL-IC-09-11-05 Proceedings of the Ninth International Conference for Enhanced Building Operations, Austin, Texas, November 17 - 19, 2009 2 ?Less than 5..., 2009 4 An Innovative Solution to Get the Ball Rolling ? Demand Response (DR) ? Monitoring Based Commissioning (MBCx) EnerNOC has a solution involving two complementary offerings. ESL-IC-09-11-05 Proceedings of the Ninth International Conference...

334

Page 6 T H E E N V I R O N M E N TA L F O R U M Managing Water Demand  

E-Print Network [OSTI]

as structural solutions, more emphasis on demand-side as well as supply-side management techniques, and a growPage 6 T H E E N V I R O N M E N TA L F O R U M Managing Water Demand: Price vs. Non-price demand management tech- niques." These would include actions such as requiring low-flow fixtures

Shapiro, Benjamin

335

Review of Strategies and Technologies for Demand-Side Management on Isolated Mini-Grids  

E-Print Network [OSTI]

approach to community micro hydro in Kalahandi, Orissa. Santechnologies, such as micro-hydro, biomass gasification,grids, such as many micro-hydro grids, will mainly concern

Harper, Meg

2014-01-01T23:59:59.000Z

336

Review of Strategies and Technologies for Demand-Side Management on Isolated Mini-Grids  

E-Print Network [OSTI]

Center for Appropriate Technology. Alice Springs, Australia.Report of Intermediate Technology Consultants to Overseasand Communication Technologies and Development. Atlanta, GA.

Harper, Meg

2014-01-01T23:59:59.000Z

337

Handbook of evaluation of utility DSM programs. [Demand-Side Management (DSM)  

SciTech Connect (OSTI)

Program evaluation has become a central issue in the world of utility integrated resource planning. The DSM programs that utilities were operating to meet federal requirements or to improve customer relations are now becoming big business. DSM is being considered an important resource in a utility's portfolio of options. In the last five years, the amount of money that utilities have invested in DSM has grown exponentially in most regulatory jurisdictions. Market analysts are now talking about DSM being a $30 billion industry by the end of the decade. If the large volume of DSM-program investments was not enough to highlight the importance of evaluation, then the introduction of regulatory incentives has really focused the spotlight. This handbook was developed through a process that involved many of those people who represent the diverse constituencies of DSM-program evaluation. We have come to recognize the many technical disciplines that must be employed to evaluate DSM programs. An analysis might start out based on the principles of utility load research to find out what happened, but a combination of engineering and statistical methods must be used to triangulate'' an estimate of what would have happened without the program. The difference, of course, is that elusive but prized result of evaluation: what happened as the direct result of the DSM program. Technical performance of DSM measures is not the sole determinant of the answer, either. We also recognize the importance of such behavioral attributes of DSM as persistence and free ridership. Finally, DSM evaluation is meaningless without attention to planning an approach, communicating results to relevant decision-makers, and focusing as much on the process as the impacts of the program. These topics are all covered in this handbook.

Hirst, E.; Reed, J. (eds.); Bronfman, B.; Fitzpatrick, G.; Hicks, E.; Hirst, E.; Hoffman, M.; Keating, K.; Michaels, H.; Nadel, S.; Peters, J.; Reed, J.; Saxonis, W.; Schoen, A.; Violette, D.

1991-12-01T23:59:59.000Z

338

Review of Strategies and Technologies for Demand-Side Management on Isolated Mini-Grids  

E-Print Network [OSTI]

Recolonising Africa on the Power Grid. Sterling, VA: HSRCRecolonising Africa on the Power Grid. Sterling, VA: HSRCRecolonising Africa on the Power Grid. Sterling, VA: HSRC

Harper, Meg

2014-01-01T23:59:59.000Z

339

Review of Strategies and Technologies for Demand-Side Management on Isolated Mini-Grids  

E-Print Network [OSTI]

from: www.devergy.com ESMAP. 2000. Mini-grid design manual.Valley photovoltaic-diesel mini-grid: System performance andon a renewable energy mini-grid in Bhutan. Environmental

Harper, Meg

2014-01-01T23:59:59.000Z

340

Review of Strategies and Technologies for Demand-Side Management on Isolated Mini-Grids  

E-Print Network [OSTI]

properly. On mini-grids with intermittent renewable energyservice provision on a renewable energy mini-grid in Bhutan.Development of Renewable Energy Mini-grids for Energy

Harper, Meg

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "demand side case" 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

Review of Strategies and Technologies for Demand-Side Management on Isolated Mini-Grids  

E-Print Network [OSTI]

funds. The solar generation and storage systems areand limited storage, such as solar and wind, but may not betypically solar panels or wind turbines) and battery storage

Harper, Meg

2014-01-01T23:59:59.000Z

342

ECEEE 2005 SUMMER STUDY WHAT WORKS & WHO DELIVERS? 183 Local energy efficiency and demand-side  

E-Print Network [OSTI]

to actions. This paper compiles an inventory of the local EE activities in France in order to provide was made using criteria defined from the analysis of the theoretical context. The inventory also ena- bles at the actual trends. Introduction As soon as energy conservation programs were developed af- ter the oil crisis

Paris-Sud XI, Université de

343

Southwest Division, Naval Facilities Engineering Command, Demand Side Management Program Implementation  

E-Print Network [OSTI]

the many benefits of this program is the short time between initial audit and contract award. A project can be under construction within 60 days of completion of the audit. Light Emitting Diode (LED) Exit Signs - Over 9700 LED Exit Signs have been... the many benefits of this program is the short time between initial audit and contract award. A project can be under construction within 60 days of completion of the audit. Light Emitting Diode (LED) Exit Signs - Over 9700 LED Exit Signs have been...

Gates, G. G.

344

Distribution Load Modelling for Demand Side Management and End-Use Efficiency  

Science Journals Connector (OSTI)

The problem of electric load modelling for low aggregation levels is addressed in the paper, being the object to obtain good “response” behaviour models of any group of loads in an electric energy distribution...

C. Álvarez; A. Gabaldón

1994-01-01T23:59:59.000Z

345

The demand-side: functional management (using the method BiSL)  

Science Journals Connector (OSTI)

Over the last few years, our organization has entered into partnerships with companies in China and Poland. They want insight into our sales and we want the same into the status of our orders with them. That r...

2005-01-01T23:59:59.000Z

346

Development of robust building energy demand-side control strategy under uncertainty.  

E-Print Network [OSTI]

??The potential of carbon emission regulations applied to an individual building will encourage building owners to purchase utility-provided green power or to employ onsite renewable… (more)

Kim, Sean Hay

2011-01-01T23:59:59.000Z

347

Demand Side Management using VOLTAGE / DISTRIBUTION OPTIMIZATION Quality improvement & Peak reduction  

Science Journals Connector (OSTI)

In order to improve the quality of the electrical energy delivered at consumer households a Voltage Optimization Device (VOD) is introduced in each household. This device controls the output voltage accurately at...

N. H. M. Hofmeester; C. J. van de Water

1994-01-01T23:59:59.000Z

348

Demand Side Management in private homes by using LonWorks®  

Science Journals Connector (OSTI)

This paper presents a system to distribute power consumption in private homes uniformly over time as well as to reduce total power consumption to meet the interests of the energy producers. We proclaim autonom...

Peter Palensky; Ratko Posta

1997-01-01T23:59:59.000Z

349

The Risks and Rewards of Participation in Demand Side Bidding Programs; an Energy Service Company Perspective  

E-Print Network [OSTI]

The purpose of this paper is to summarize from an ESCO viewpoint some of the risks and rewards of participating in DSM bidding programs before deciding to submit a bid....

Machold, W. D.

1994-01-01T23:59:59.000Z

350

Review of Strategies and Technologies for Demand-Side Management on Isolated Mini-Grids  

E-Print Network [OSTI]

power at any one time, whereas on energy-limited grids, such as wind andpower-limited, such as micro-hydro, and those that are also energy- limited, such as wind andsolar and wind mini-grids. Grids that are only power-limited

Harper, Meg

2014-01-01T23:59:59.000Z

351

Demand Side Dispatching, Part 1: A Novel Approach for Industrial Load Shaping Applications  

E-Print Network [OSTI]

comprises developing simple yet realistic mixed integer linear models of the customer's CHP and solving such models using proven Mixed Integer Linear Programming algorithms to determine globally optimum operating policies. This methodology in effect predicts...

Kumana, J. D.; Nath, R.

352

Review of Strategies and Technologies for Demand-Side Management on Isolated Mini-Grids  

E-Print Network [OSTI]

the 16th European Photovoltaic Solar Energy Conference andcontrol. 27th European Photovoltaic Solar Energy Conf. and

Harper, Meg

2014-01-01T23:59:59.000Z

353

Utility Demand Side Management- DSM Lessons: Experience is the Toughest Teacher  

E-Print Network [OSTI]

Most utilities first became actively involved with energy conservation in the early 1980s with the federally mandated Residential Conservation Service (RCS) program. Legislation mandating a similar effort directed toward commercial and apartment...

Gilbert, S. M.

354

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

E-Print Network [OSTI]

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

California at Berkeley. University of

355

Demand Side Energy Saving though Proper Construction Practices and Materials Selection  

E-Print Network [OSTI]

consumption. Figure 3. Temperature variations in cement production Finding ways to reduce both energy needs and reliance on fossil fuels is a top priority for cement companies. Although coal, petroleum coke, and other fossil fuels have been... or byproducts from other industries. Recovering their energy value in cement making is a safe and proven form of recycling. Fuels like coal and coke contain carbon and release tremendous quantities of heat when they?re burned. But coal and coke aren...

El-Hawary, M.

2010-01-01T23:59:59.000Z

356

Review of Strategies and Technologies for Demand-Side Management on Isolated Mini-Grids  

E-Print Network [OSTI]

low-power “heat storage cookers” for mini-grids withHolland et al. 2002). These cookers run at a low power forlow wattage rice cookers. Despite their functionality, these

Harper, Meg

2014-01-01T23:59:59.000Z

357

Global energy efficiency improvement in the long term: a demand- and supply-side perspective  

Science Journals Connector (OSTI)

This study assessed technical potentials for energy efficiency improvement in 2050 in a global ... The reference scenario is based on the World Energy Outlook of the International Energy Agency 2007 edition and a...

Wina Graus; Eliane Blomen; Ernst Worrell

2011-08-01T23:59:59.000Z

358

National Action Plan on Demand Response  

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

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

359

Demand Response Projects: Technical and Market Demonstrations  

E-Print Network [OSTI]

Demand Response Projects: Technical and Market Demonstrations Philip D. Lusk Deputy Director Energy Analyst #12;PLACE CAPTION HERE. #12;#12;#12;#12;City of Port Angeles Demand Response History energy charges · Demand charges during peak period only ­ Reduced demand charges for demand response

360

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

Note: This page contains sample records for the topic "demand side case" 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

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

362

Facilitating Renewable Integration by Demand Response  

Science Journals Connector (OSTI)

Demand response is seen as one of the resources ... expected to incentivize small consumers to participate in demand response. This chapter models the involvement of small consumers in demand response programs wi...

Juan M. Morales; Antonio J. Conejo…

2014-01-01T23:59:59.000Z

363

Demand Response as a System Reliability Resource  

E-Print Network [OSTI]

Barat, and D. Watson. 2007. Demand Response Spinning ReserveKueck, and B. Kirby. 2009. Demand Response Spinning ReserveFormat of 2009-2011 Demand Response Activity Applications.

Joseph, Eto

2014-01-01T23:59:59.000Z

364

Value of Demand Response -Introduction Klaus Skytte  

E-Print Network [OSTI]

Value of Demand Response - Introduction Klaus Skytte Systems Analysis Department February 7, 2006 Energinet.dk, Ballerup #12;What is Demand Response? Demand response (DR) is the short-term response

365

World Energy Use — Trends in Demand  

Science Journals Connector (OSTI)

In order to provide adequate energy supplies in the future, trends in energy demand must be evaluated and projections of future demand developed. World energy use is far from static, and an understanding of the demand

Randy Hudson

1996-01-01T23:59:59.000Z

366

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

California Energy Demand Scenario Projections to 2050 RyanCEC (2003a) California energy demand 2003-2013 forecast.CEC (2005a) California energy demand 2006-2016: Staff energy

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

2008-01-01T23:59:59.000Z

367

Balancing of Energy Supply and Residential Demand  

Science Journals Connector (OSTI)

Power demand of private households shows daily fluctuations and ... (BEV) and heat pumps. This additional demand, especially when it remains unmanaged, will ... to an increase in fluctuations. To balance demand,

Martin Bock; Grit Walther

2014-01-01T23:59:59.000Z

368

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"

369

Winter Demand Impacted by Weather  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: Heating oil demand is strongly influenced by weather. The "normal" numbers are the expected values for winter 2000-2001 used in EIA's Short-Term Energy Outlook. The chart indicates the extent to which the last winter exhibited below-normal heating degree-days (and thus below-normal heating demand). Temperatures were consistently warmer than normal throughout the 1999-2000 heating season. This was particularly true in November 1999, February 2001 and March 2001. For the heating season as a whole (October through March), the 1999-2000 winter yielded total HDDs 10.7% below normal. Normal temperatures this coming winter would, then, be expected to bring about 11% higher heating demand than we saw last year. Relative to normal, the 1999-2000 heating season was the warmest in

370

Turkey's energy demand and supply  

SciTech Connect (OSTI)

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

371

International Oil Supplies and Demands  

SciTech Connect (OSTI)

The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

Not Available

1991-09-01T23:59:59.000Z

372

International Oil Supplies and Demands  

SciTech Connect (OSTI)

The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

Not Available

1992-04-01T23:59:59.000Z

373

Demand Response as a System Reliability Resource  

E-Print Network [OSTI]

for Demand Response Technology Development The objective ofin planning demand response technology RD&D by conductingNew and Emerging Technologies into the California Smart Grid

Joseph, Eto

2014-01-01T23:59:59.000Z

374

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

375

Demand Response - Policy | Department of Energy  

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

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

376

Sandia National Laboratories: demand response inverter  

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

demand response inverter ECIS-Princeton Power Systems, Inc.: Demand Response Inverter On March 19, 2013, in DETL, Distribution Grid Integration, Energy, Energy Surety, Facilities,...

377

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

and Demand Response A pilot program from NSTAR in Massachusetts,Massachusetts, aiming to test whether an intensive program of energy efficiency and demand response

Goldman, Charles

2010-01-01T23:59:59.000Z

378

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

379

Marketing & Driving Demand: Social Media Tools & Strategies ...  

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

Demand: Social Media Tools & Strategies - January 16, 2011 Marketing & Driving Demand: Social Media Tools & Strategies - January 16, 2011 January 16, 2011 Conference Call...

380

Marketing & Driving Demand Collaborative - Social Media Tools...  

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

Demand Collaborative - Social Media Tools & Strategies Marketing & Driving Demand Collaborative - Social Media Tools & Strategies Presentation slides from the BetterBuildings...

Note: This page contains sample records for the topic "demand side case" 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

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

382

Demand Response Opportunities and Enabling Technologies for Data Centers:  

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

383

Modeling supermarket refrigeration energy use and demand  

SciTech Connect (OSTI)

A computer model has been developed that can predict the performance of supermarket refrigeration equipment to within 3% of field test measurements. The Supermarket Refrigeration Energy Use and Demand Model has been used to simulate currently available refrigerants R-12, R-502 and R-22, and is being further developed to address alternative refrigerants. This paper reports that the model is expected to be important in the design, selection and operation of cost-effective, high-efficiency refrigeration systems. It can profile the operation and performance of different types of compressors, condensors, refrigerants and display cases. It can also simulate the effects of store humidity and temperature on display cases; the efficiency of various floating head pressure setpoints, defrost alternatives and subcooling methods; the efficiency and amount of heat reclaim from refrigeration systems; and the influence of other variables such as store lighting and building design. It can also be used to evaluate operational strategies such as variable-speed drive or cylinder unloading for capacity control. Development of the model began in 1986 as part of a major effort, sponsored by the U.S. electric utility industry, to evaluate energy performance of then conventional single compressor and state-of-the-art multiplex refrigeration systems, and to characterize the contribution of a variety of technology enhancement features on system energy use and demand.

Blatt, M.H.; Khattar, M.K. (Electric Power Research Inst., Palo Alto, CA (US)); Walker, D.H. (Foster Miller Inc., Waltham, MA (US))

1991-07-01T23:59:59.000Z

384

Table A51. Number of Establishments by Sponsorship of Any Programs of Demand  

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

1. Number of Establishments by Sponsorship of Any Programs of Demand-Side Management through" 1. Number of Establishments by Sponsorship of Any Programs of Demand-Side Management through" " Electric Utility and Natural Gas Utility, by Industry Group and Selected Industries, 1994" ,," "," ",," "," ",," "," "," "," " ,," "," ","Any Programs"," "," ","Any Programs"," "," ",," " ,," "," of DSM Sponsored through Electric Utility(b)",,," of DSM Sponsored through Natural Gas Utility(c)",,,"RSE" "SIC"," ",,,,,,,,"Row" "Code(a)","Industry Group and Industry","Total","Sponsored","Not Sponsored","Don't Know","Sponsored","Not Sponsored","Don't Know","Factors"

385

Assumptions to the Annual Energy Outlook 2000 - Electricity Market Demand  

Gasoline and Diesel Fuel Update (EIA)

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

386

Water demand management in Kuwait  

E-Print Network [OSTI]

Kuwait is an arid country located in the Middle East, with limited access to water resources. Yet water demand per capita is much higher than in other countries in the world, estimated to be around 450 L/capita/day. There ...

Milutinovic, Milan, M. Eng. Massachusetts Institute of Technology

2006-01-01T23:59:59.000Z

387

Q:\asufinal_0107_demand.vp  

Gasoline and Diesel Fuel Update (EIA)

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

388

Assessment of Demand Response and Advanced Metering  

E-Print Network [OSTI]

#12;#12;2008 Assessment of Demand Response and Advanced Metering Staff Report Federal Energy metering penetration and potential peak load reduction from demand response have increased since 2006. Significant activity to promote demand response or to remove barriers to demand response occurred at the state

Tesfatsion, Leigh

389

Building Technologies Office: Integrated Predictive Demand Response  

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

390

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

391

Incorporating Demand Response into Western Interconnection Transmission Planning  

E-Print Network [OSTI]

Aggregator Programs. Demand Response Measurement andIncorporating Demand Response into Western Interconnection13 Demand Response Dispatch

Satchwell, Andrew

2014-01-01T23:59:59.000Z

392

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

393

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

394

Global energy demand to 2060  

SciTech Connect (OSTI)

The projection of global energy demand to the year 2060 is of particular interest because of its relevance to the current greenhouse concerns. The long-term growth of global energy demand in the time scale of climatic change has received relatively little attention in the public discussion of national policy alternatives. The sociological, political, and economic issues have rarely been mentioned in this context. This study emphasizes that the two major driving forces are global population growth and economic growth (gross national product per capita), as would be expected. The modest annual increases assumed in this study result in a year 2060 annual energy use of >4 times the total global current use (year 1986) if present trends continue, and >2 times with extreme efficiency improvements in energy use. Even assuming a zero per capita growth for energy and economics, the population increase by the year 2060 results in a 1.5 times increase in total annual energy use.

Starr, C. (Electric Power Research Institute, Palo Alto, CA (USA))

1989-01-01T23:59:59.000Z

395

Smart microgrid operational planning considering multiple demand response programs  

Science Journals Connector (OSTI)

Microgrid (MG) is one of the important blocks in the future smart distribution systems. The scheduling pattern of MGs affects distribution system operation. Also the optimal scheduling of MGs will result in reliable and economical operation of distribution system. In this paper an operational planning model of a MG which considers multiple demand response programs is proposed. In the proposed approach all types of loads can participate in demand response programs which will be considered in either energy or reserve scheduling. Also the renewable distributed generation uncertainty is covered by reserve provided by both Distributed Generations (DGs) and responsive loads. The novelty of this paper is the demand side participation in energy and reserve scheduling simultaneously. Furthermore the energy and reserve scheduling is proposed for day-ahead and real-time. The proposed model was tested on a typical MG system and the results show that running demand response programs will reduce total operation cost of MG and cause more efficient use of resources.

Alireza Zakariazadeh; Shahram Jadid

2014-01-01T23:59:59.000Z

396

Scenario Analysis of Peak Demand Savings for Commercial Buildings with Thermal Mass in California  

SciTech Connect (OSTI)

This paper reports on the potential impact of demand response (DR) strategies in commercial buildings in California based on the Demand Response Quick Assessment Tool (DRQAT), which uses EnergyPlus simulation prototypes for office and retail buildings. The study describes the potential impact of building size, thermal mass, climate, and DR strategies on demand savings in commercial buildings. Sensitivity analyses are performed to evaluate how these factors influence the demand shift and shed during the peak period. The whole-building peak demand of a commercial building with high thermal mass in a hot climate zone can be reduced by 30percent using an optimized demand response strategy. Results are summarized for various simulation scenarios designed to help owners and managers understand the potential savings for demand response deployment. Simulated demand savings under various scenarios were compared to field-measured data in numerous climate zones, allowing calibration of the prototype models. The simulation results are compared to the peak demand data from the Commercial End-Use Survey for commercial buildings in California. On the economic side, a set of electricity rates are used to evaluate the impact of the DR strategies on economic savings for different thermal mass and climate conditions. Our comparison of recent simulation to field test results provides an understanding of the DR potential in commercial buildings.

Yin, Rongxin; Kiliccote, Sila; Piette, Mary Ann; Parrish, Kristen

2010-05-14T23:59:59.000Z

397

Exploring demand flexibility in heterogeneous aggregators: An LMP-based pricing scheme  

Science Journals Connector (OSTI)

With the proposed penetration of electric vehicles and advanced metering technology, the demand side is foreseen to play a major role in flexible energy consumption scheduling. On the other hand, the past several years have witnessed utility companies' ... Keywords: Capacity planning, Stackelberg game, locational marginal price, real-time pricing, smart grid, subgame perfect equilibrium, wind power integration

Chenye Wu; Yiyu Shi; Soummya Kar

2014-01-01T23:59:59.000Z

398

Page 1 of 23 Decreasing Demand: Attempting to Facilitate Energy Conservation by  

E-Print Network [OSTI]

gas emissions, 82% are carbon dioxide emissions related to energy consumption (EIA, 2006).The average demand-side methods to reduce emissions is also crucial and is an area ripe for research. Reducing CO2's population and produces 25% of the world's total CO2 emissions (EPA, 2000).Of the United States greenhouse

Attari, Shahzeen Z.

399

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

Science Journals Connector (OSTI)

Abstract In 2012 there was approximately 2400 electric vehicle DC Fast Charging stations sold globally. According to Pike Research (Jerram and Gartner, 2012), it is anticipated that by 2020 there will be approximately 460,000 of them installed worldwide. A typical public DC fast charger delivers a maximum power output of 50 kW which allows a typical passenger vehicle to be 80% charged in 10–15 min, compared with 6–8 h for a 6.6 kW AC level 2 charging unit. While DC fast chargers offer users the convenience of being able to rapidly charge their vehicle, the unit's high power demand has the potential to put sudden strain on the electricity network, and incur significant demand charges. Depending on the utility rate structure, a DC fast charger can experience annual demand charges of several thousand dollars. Therefore in these cases there is an opportunity to mitigate or even avoid the demand charges incurred by coupling the unit with an appropriately sized energy storage system and coordinating the way in which it integrates. This paper explores the technical and economical suitability of coupling a ground energy storage system with a DC fast charge unit for mitigation or avoidance of demand charges and lessening the impact on the local electricity network. This paper also discusses the concept of having the system participate in demand response programs in order to provide grid support and to further improve the economic suitability of an energy storage system.

Donald McPhail

2014-01-01T23:59:59.000Z

400

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

Note: This page contains sample records for the topic "demand side case" 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

Demand Response Programs Oregon Public Utility Commission  

E-Print Network [OSTI]

Demand Response Programs Oregon Public Utility Commission January 6, 2005 Mike Koszalka Director;Demand Response Results, 2004 Load Control ­ Cool Keeper ­ ID Irrigation Load Control Price Responsive

402

Industrial Equipment Demand and Duty Factors  

E-Print Network [OSTI]

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

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

403

ConservationandDemand ManagementPlan  

E-Print Network [OSTI]

; Introduction Ontario Regulation 397/11 under the Green Energy Act 2009 requires public agencies and implement energy Conservation and Demand Management (CDM) plans starting in 2014. Requirementsofthe ConservationandDemand ManagementPlan 2014-2019 #12

Abolmaesumi, Purang

404

Energy Demand Analysis at a Disaggregated Level  

Science Journals Connector (OSTI)

The purpose of this chapter is to consider energy demand at the fuel level or at the ... . This chapter first presents the disaggregation of energy demand, discusses the information issues and introduces framewor...

Subhes C. Bhattacharyya

2011-01-01T23:59:59.000Z

405

Seasonal temperature variations and energy demand  

Science Journals Connector (OSTI)

This paper presents an empirical study of the relationship between residential energy demand and temperature. Unlike previous studies in this ... different regions and to the contrasting effects on energy demand ...

Enrica De Cian; Elisa Lanzi; Roberto Roson

2013-02-01T23:59:59.000Z

406

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

SciTech Connect (OSTI)

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

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

2001-06-25T23:59:59.000Z

407

Decentralized demand management for water distribution  

E-Print Network [OSTI]

. Actual Daily Demand for Model 2 . . 26 4 Predicted vs. Actual Peak Hourly Demand for Model 1 27 5 Predicted vs. Actual Peak Hourly Demand for Model 2 28 6 Cumulative Hourly Demand Distribution 7 Bryan Distribution Network 8 Typical Summer Diurnal... locating and controlling water that has not been accounted for. The Ford Meter Box Company (1987) advises the testing and recalibration of existing water meters. Because operating costs in a distribution network can be quite substantial, a significant...

Zabolio, Dow Joseph

2012-06-07T23:59:59.000Z

408

Demand Responsive Lighting: A Scoping Study  

E-Print Network [OSTI]

LBNL-62226 Demand Responsive Lighting: A Scoping Study F. Rubinstein, S. Kiliccote Energy Environmental Technologies Division January 2007 #12;LBNL-62226 Demand Responsive Lighting: A Scoping Study in this report was coordinated by the Demand Response Research Center and funded by the California Energy

409

Demand Response Resources in Pacific Northwest  

E-Print Network [OSTI]

Demand Response Resources in Pacific Northwest Chuck Goldman Lawrence Berkeley National Laboratory cagoldman@lbl.gov Pacific Northwest Demand Response Project Portland OR May 2, 2007 #12;Overview · Typology Annual Reports ­ Journal articles/Technical reports #12;Demand Response Resources · Incentive

410

Demand Response and Ancillary Services September 2008  

E-Print Network [OSTI]

Demand Response and Ancillary Services September 2008 #12;© 2008 EnerNOC, Inc. All Rights Reserved programs The purpose of this presentation is to offer insight into the mechanics of demand response and industrial demand response resources across North America in both regulated and restructured markets As of 6

411

THE STATE OF DEMAND RESPONSE IN CALIFORNIA  

E-Print Network [OSTI]

THE STATE OF DEMAND RESPONSE IN CALIFORNIA Prepared For: California Energy in this report. #12; ABSTRACT By reducing system loads during criticalpeak times, demand response can help reduce the threat of planned rotational outages. Demand response is also widely regarded as having

412

THE STATE OF DEMAND RESPONSE IN CALIFORNIA  

E-Print Network [OSTI]

THE STATE OF DEMAND RESPONSE IN CALIFORNIA Prepared For: California Energy in this report. #12; ABSTRACT By reducing system loads during criticalpeak times, demand response (DR) can.S. and internationally and lay out ideas that could help move California forward. KEY WORDS demand response, peak

413

Modeling Energy Demand Aggregators for Residential Consumers  

E-Print Network [OSTI]

The current world-wide increase of energy demand cannot be matched by energy production and power grid updateModeling Energy Demand Aggregators for Residential Consumers G. Di Bella, L. Giarr`e, M. Ippolito, A. Jean-Marie, G. Neglia and I. Tinnirello § January 2, 2014 Abstract Energy demand aggregators

Paris-Sud XI, Université de

414

Response to changes in demand/supply  

E-Print Network [OSTI]

Response to changes in demand/supply through improved marketing 21.2 #12;#12;111 Impacts of changes log demand in 1995. The composites board mills operating in Korea took advantage of flexibility environment changes on the production mix, some economic indications, statistics of demand and supply of wood

415

Response to changes in demand/supply  

E-Print Network [OSTI]

Response to changes in demand/supply through improved marketing 21.2 http with the mill consuming 450 000 m3 , amounting to 30% of total plywood log demand in 1995. The composites board, statistics of demand and supply of wood, costs and competitiveness were analysed. The reactions

416

Energy demand forecasting: industry practices and challenges  

Science Journals Connector (OSTI)

Accurate forecasting of energy demand plays a key role for utility companies, network operators, producers and suppliers of energy. Demand forecasts are utilized for unit commitment, market bidding, network operation and maintenance, integration of renewable ... Keywords: analytics, energy demand forecasting, machine learning, renewable energy sources, smart grids, smart meters

Mathieu Sinn

2014-06-01T23:59:59.000Z

417

Smart Buildings Using Demand Response March 6, 2011  

E-Print Network [OSTI]

Smart Buildings Using Demand Response March 6, 2011 Sila Kiliccote Deputy, Demand Response Division Lawrence Berkeley National Laboratory Demand Response Research Center 1 #12;Presentation Outline Demand Response Research Center ­ DRRC Vision and Research Portfolio Introduction to Demand

Kammen, Daniel M.

418

EIA - Annual Energy Outlook 2008 - Natural Gas Demand  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Demand Natural Gas Demand Annual Energy Outlook 2008 with Projections to 2030 Natural Gas Demand Figure 72. Natural gas consumption by sector, 1990-2030 (trillion cubic feet). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 73. Total natural gas consumption, 1990-2030 (trillion cubic feet). Need help, contact the National Energy Information Center at 202-586-8800. figure data Fastest Increase in Natural Gas Use Is Expected for the Buildings Sectors In the reference case, total natural gas consumption increases from 21.7 trillion cubic feet in 2006 to a peak value of 23.8 trillion cubic feet in 2016, followed by a decline to 22.7 trillion cubic feet in 2030. The natural gas share of total energy consumption drops from 22 percent in 2006

419

Insurance demand and country risks: A nonlinear panel data analysis  

Science Journals Connector (OSTI)

Abstract This paper investigates the impact of country risks, including political, financial, and economic risks, on the income elasticity of insurance demand. Using the panel smooth transition regression model, we find that there is a significant regime-switching effect concerning the impact of country risks on the income elasticity of insurance demand. A full-sample analysis shows that the income elasticity of insurance demand decreases when country risks diminish. In a subsample analysis based on income level, legal origin, and restriction on banks' participation in insurance activities, we find that the elasticity diminishes in general when economic risk drops. When political risk is lower, the elasticity decreases in countries with high-income, common law origin, and insurance activities permitted by banks, whereas a clear pattern cannot be identified in the case of financial risk.

Chien-Chiang Lee; Yi-Bin Chiu; Chi-Hung Chang

2013-01-01T23:59:59.000Z

420

Building America Case Study: Excavationless Exterior-Side Foundation...  

Energy Savers [EERE]

Cocoon, cocoon-solutions.com Urban Homeworks, urbanhomeworks.org BASF, basf.us American Environmental, LLC NorthernSTAR Building America Partnership Building Component:...

Note: This page contains sample records for the topic "demand side case" 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

NREL: Computational Science - Scott W. Sides  

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

Scott W. Sides Scott W. Sides Computational Materials Scientist Scientist Scott Sides Phone: (303) 275-4122 Email: Scott.Sides@nrel.gov At NREL Since: 2013 Dr. Scott Sides is a computational physicist with a wide range of simulation experience that includes using classical molecular dynamics and numerical self-consistent field theory to study polymer structure and dynamics. Dr. Sides graduated in 1998, and his studies included using kinetic Ising models to measure the lifetimes of metastable states in static fields and the time-dependent response in sinusoidal fields. In his postdoctoral research at Sandia National Laboratories he worked with Dr. Gary Grest studying adhesion in dense polymer melts and using molecular dynamics to validate PRISM theory and scattering data for PDMS. In 2001 he

422

Energy demand and population changes  

SciTech Connect (OSTI)

Since World War II, US energy demand has grown more rapidly than population, so that per capita consumption of energy was about 60% higher in 1978 than in 1947. Population growth and the expansion of per capita real incomes have led to a greater use of energy. The aging of the US population is expected to increase per capita energy consumption, despite the increase in the proportion of persons over 65, who consume less energy than employed persons. The sharp decline in the population under 18 has led to an expansion in the relative proportion of population in the prime-labor-force age groups. Employed persons are heavy users of energy. The growth of the work force and GNP is largely attributable to the growing participation of females. Another important consequence of female employment is the growth in ownership of personal automobiles. A third factor pushing up labor-force growth is the steady influx of illegal aliens.

Allen, E.L.; Edmonds, J.A.

1980-12-01T23:59:59.000Z

423

List of Siding Incentives | Open Energy Information  

Open Energy Info (EERE)

Siding Incentives Siding Incentives Jump to: navigation, search The following contains the list of 45 Siding Incentives. CSV (rows 1 - 45) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active Anaheim Public Utilities - Commercial & Industrial New Construction Rebate Program Utility Rebate Program California Commercial Industrial Institutional Boilers Building Insulation Caulking/Weather-stripping Central Air conditioners Chillers Comprehensive Measures/Whole Building Compressed air Duct/Air sealing Energy Mgmt. Systems/Building Controls Equipment Insulation Furnaces Heat pumps Heat recovery Lighting Lighting Controls/Sensors Motor VFDs Motors Processing and Manufacturing Equipment Roofs Siding Water Heaters Windows Yes Anaheim Public Utilities - Green Building Rebate Program (California) Utility Rebate Program California Commercial

424

Design and Operation of an Open, Interoperable Automated Demand Response  

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

Design and Operation of an Open, Interoperable Automated Demand Response Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings Title Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings Publication Type Journal Article LBNL Report Number LBNL-2340e Year of Publication 2009 Authors Piette, Mary Ann, Girish Ghatikar, Sila Kiliccote, David S. Watson, Edward Koch, and Dan Hennage Journal Journal of Computing Science and Information Engineering Volume 9 Issue 2 Keywords communication and standards, market sectors, openadr Abstract This paper describes the concept for and lessons from the development and field-testing of an open, interoperable communications infrastructure to support automated demand response (auto-DR). Automating DR allows greater levels of participation, improved reliability, and repeatability of the DR in participating facilities. This paper also presents the technical and architectural issues associated with auto-DR and description of the demand response automation server (DRAS), the client/server architecture-based middle-ware used to automate the interactions between the utilities or any DR serving entity and their customers for DR programs. Use case diagrams are presented to show the role of the DRAS between utility/ISO and the clients at the facilities.

425

Measurement and Verification for Demand Response  

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

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

426

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

E-Print Network [OSTI]

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

Sastry, S. Shankar

427

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

E-Print Network [OSTI]

that energy intensity is not necessarily a good indicator of energy efficiency, whereas by controllingUS 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

428

Fuzzy Subtractive Clustering Technique Applied to Demand Response in a Smart Grid Scope  

Science Journals Connector (OSTI)

Abstract This paper focuses on demand response in a smart grid scope using a fuzzy subtractive clustering technique for modeling demand response. Domestic consumption is classified into profiles in order to favorable cover the adequate modeling. The fuzzy subtractive clustering technique is applied to a case study of domestic consumption demand response with three scenarios and a comparison of the results is presented. The demand response developed model intends to support consumer's decisions given a compromise between the consumption imperative needs and possible economical benefits due to reshape and reschedule.

R. Pereira; A. Fagundes; R. Melício; V.M.F. Mendes; J. Figueiredo; J.C. Quadrado

2014-01-01T23:59:59.000Z

429

Honeywell Demonstrates Automated Demand Response Benefits for Utility, Commercial, and Industrial Customers  

Broader source: Energy.gov [DOE]

Honeywell’s Smart Grid Investment Grant (SGIG) project demonstrates utility-scale performance of a hardware/software platform for automated demand response (ADR) for utility, commercial, and industrial customers. The case study is now available for downloading.

430

Side-emitting fiber optic position sensor  

DOE Patents [OSTI]

A side-emitting fiber optic position sensor and method of determining an unknown position of an object by using the sensor. In one embodiment, a concentrated beam of light source illuminates the side of a side-emitting fiber optic at an unknown axial position along the fiber's length. Some of this side-illuminated light is in-scattered into the fiber and captured. As the captured light is guided down the fiber, its intensity decreases due to loss from side-emission away from the fiber and from bulk absorption within the fiber. By measuring the intensity of light emitted from one (or both) ends of the fiber with a photodetector(s), the axial position of the light source is determined by comparing the photodetector's signal to a calibrated response curve, look-up table, or by using a mathematical model. Alternatively, the side-emitting fiber is illuminated at one end, while a photodetector measures the intensity of light emitted from the side of the fiber, at an unknown position. As the photodetector moves further away from the illuminated end, the detector's signal strength decreases due to loss from side-emission and/or bulk absorption. As before, the detector's signal is correlated to a unique position along the fiber.

Weiss, Jonathan D. (Albuquerque, NM)

2008-02-12T23:59:59.000Z

431

Case Studies from the UK Richard Green  

E-Print Network [OSTI]

for virtually all power sales ­ There would be little vertical integration · Level playing field · Retain merit · Price formation · Demand in the Pool · Constrained-on (Reliability Must Run) Plant · Profiling · Almost no demand side participation #12;Price Spikes · GOAL chooses high-cost plant ­ Bigger problem

California at Berkeley. University of

432

Alternative Energy Futures: The Case for Electricity  

Science Journals Connector (OSTI)

...The per capita index of...the average per capita indices of...relative to GDP for total energy, electricity...electricity on the demand side are...Fig. 3. Per capita japan United...rela-States tive to GDP of total energy (cross hatch-ing...D _. demand for conventional...

Umberto Colombo

1982-08-20T23:59:59.000Z

433

HVAC EFFICIENCY BUSINESS CASE DEMAND CONTROL KITCHEN VENTILATION  

E-Print Network [OSTI]

and natural gas, total annual savings can be estimated. This can then be coupled with the expected system cost factor with respect to air flow. This means that even a relatively modest reduction in air flow can fans through variable frequency drives (VFDs) based on input signals from temperature probes placed

California at Davis, University of

434

Modeling Climate Feedbacks to Energy Demand: The Case of China  

E-Print Network [OSTI]

This paper is an empirical investigation of the effects of climate on the use of electricity by consumers and producers in urban and rural areas within China. It takes advantage of an unusual combination of temporal and ...

Asadoorian, Malcolm O.

435

A case study: demands on component-based development  

Science Journals Connector (OSTI)

Building software systems with reusable components brings many advantages. The development becomes more efficient, the realibility of the products is enhanced, and the maintenance requirement is significantly reduced. Designing, developing and maintaining ... Keywords: architecture, component-based development, development environment, reuse, standard components

Ivica Crnkovic; Magnus Larsson

2000-06-01T23:59:59.000Z

436

OUTDOOR RECREATION DEMAND AND EXPENDITURES: LOWER SNAKE RIVER RESERVOIRS  

E-Print Network [OSTI]

i OUTDOOR RECREATION DEMAND AND EXPENDITURES: LOWER SNAKE RIVER RESERVOIRS John R. Mc . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v SECTION ONE - OUTDOOR RECREATION DEMAND . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Recreation Demand Methods

O'Laughlin, Jay

437

LEED Demand Response Credit: A Plan for Research towards Implementation  

E-Print Network [OSTI]

C. McParland, Open Automated Demand Response Communicationsand Open Automated Demand Response", Grid Interop Forum,Testing of Automated Demand Response for Integration of

Kiliccote, Sila

2014-01-01T23:59:59.000Z

438

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

439

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

440

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

Note: This page contains sample records for the topic "demand side case" 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

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

442

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

443

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

444

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

445

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

446

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

447

Modeling, Analysis, and Control of Demand Response Resources  

E-Print Network [OSTI]

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

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

448

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

449

The Role of Demand Response in Default Service Pricing  

E-Print Network [OSTI]

THE ROLE OF DEMAND RESPONSE IN DEFAULT SERVICE PRICING Galenfor providing much-needed demand response in electricitycompetitive retail markets, demand response often appears to

Barbose, Galen; Goldman, Chuck; Neenan, Bernie

2006-01-01T23:59:59.000Z

450

The Role of Demand Response in Default Service Pricing  

E-Print Network [OSTI]

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

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2008-01-01T23:59:59.000Z

451

Linking Continuous Energy Management and Open Automated Demand Response  

E-Print Network [OSTI]

description of six energy and demand management concepts.how quickly it can modify energy demand. This is not a newimprovements in both energy efficiency and demand response (

Piette, Mary Ann

2009-01-01T23:59:59.000Z

452

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network [OSTI]

Institute, “Curbing Global Energy Demand Growth: The Energyup Assessment of Energy Demand in India Transportationa profound effect on energy demand. Policy analysts wishing

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

453

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

454

Distributed Intelligent Automated Demand Response (DIADR) Building  

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

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

455

AIAA 2002-3298 AERODYNAMICS OF TWO SIDE-BY-SIDE PLATES IN HYPERSONIC  

E-Print Network [OSTI]

AIAA 2002-3298 AERODYNAMICS OF TWO SIDE-BY-SIDE PLATES IN HYPERSONIC RAREFIED-GAS FLOWS Vladimir V. Riabov* Rivier College, Nashua, New Hampshire 03060 Abstract Hypersonic rarefied-gas flows near two side have provided valuable information related to physics of hypersonic flows about spacecraft elements

Riabov, Vladimir V.

456

The role of regulatory reforms, market changes, and technology development to make demand response a viable resource in meeting energy challenges  

Science Journals Connector (OSTI)

Abstract In recent years, demand response and load control automation has gained increased attention from regulators, system operators, utilities, market aggregators, and product vendors. It has become a cost-effective demand-side alternative to traditional supply-side generation technologies to balance the power grid, enable grid integration of renewable energy, and meet growing demands for electricity. There are several factors that have played a role in the development of demand response programs. Existing research are however limited on reviewing in a systematic approach how these factors work together to drive this development. This paper makes an attempt to fill this gap. It provides a comprehensive overview on how policy and regulations, electricity market reform, and technological advancement in the US and other countries have worked for demand response to become a viable demand-side resource to address the energy and environmental challenges. The paper also offers specific recommendations on actions needed to capture untapped demand response potentials in countries that have developed active demand response programs as well as countries that plan to pursue demand response.

Bo Shen; Girish Ghatikar; Zeng Lei; Jinkai Li; Greg Wikler; Phil Martin

2014-01-01T23:59:59.000Z

457

Climate, extreme heat, and electricity demand in California  

SciTech Connect (OSTI)

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

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

2008-04-01T23:59:59.000Z

458

Energy Demands and Efficiency Strategies in Data Center Buildings  

E-Print Network [OSTI]

air-side economizer..125 Data Centerbenefits of air-side economizers. As the data center economydata centers equipped with traditional economizers (air-side

Shehabi, Arman

2010-01-01T23:59:59.000Z

459

Findings from the 2004 Fully Automated Demand Response Tests in Large  

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

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

460

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

Note: This page contains sample records for the topic "demand side case" 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

The Retail Planning Problem under Demand Uncertainty.  

E-Print Network [OSTI]

and Rajaram K. , (2000), “Accurate Retail Testing of FashionThe Retail Planning Problem Under Demand Uncertainty GeorgeAbstract We consider the Retail Planning Problem in which

Georgiadis, G.; Rajaram, K.

2012-01-01T23:59:59.000Z

462

Retail Demand Response in Southwest Power Pool  

E-Print Network [OSTI]

17 6. Barriers to Retail23 ii Retail Demand Response in SPP List of Figures and6 Table 3. SPP Retail DR Survey

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

463

Coordination of Energy Efficiency and Demand Response  

E-Print Network [OSTI]

water heaters with embedded demand responsive controls can be designed to automatically provide day-ahead and real-time response

Goldman, Charles

2010-01-01T23:59:59.000Z

464

Distributed Automated Demand Response - Energy Innovation Portal  

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

Transmission Find More Like This Return to Search Distributed Automated Demand Response Lawrence Livermore National Laboratory Contact LLNL About This Technology...

465

Demand Response (transactional control) - Energy Innovation Portal  

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

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

466

Regulation Services with Demand Response - Energy Innovation...  

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

Regulation Services with Demand Response Pacific Northwest National Laboratory Contact PNNL About This Technology Using grid frequency information, researchers have created...

467

Topics in Residential Electric Demand Response.  

E-Print Network [OSTI]

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

Horowitz, Shira R.

2012-01-01T23:59:59.000Z

468

Maximum-Demand Rectangular Location Problem  

E-Print Network [OSTI]

Oct 1, 2014 ... Demand and service can be defined in the most general sense. ... Industrial and Systems Engineering, Texas A&M University, September 2014.

Manish Bansal

2014-10-01T23:59:59.000Z

469

Coupling Renewable Energy Supply with Deferrable Demand  

E-Print Network [OSTI]

in the presence of renewable resources and on the amount ofprimarily from renewable resources, and to a limited extentintegration of renewable resources and deferrable demand. We

Papavasiliou, Anthony

2011-01-01T23:59:59.000Z

470

Demand response at the Naval Postgraduate School .  

E-Print Network [OSTI]

??The purpose of this MBA project is to assist the Naval Postgraduate School's Public Works department to assimilate into a Demand Response program that will… (more)

Stouffer, Dean

2008-01-01T23:59:59.000Z

471

Demand response exchange in a deregulated environment .  

E-Print Network [OSTI]

??This thesis presents the development of a new and separate market for trading Demand Response (DR) in a deregulated power system. This market is termed… (more)

Nguyen, DT

2012-01-01T23:59:59.000Z

472

Demand response exchange in a deregulated environment.  

E-Print Network [OSTI]

??This thesis presents the development of a new and separate market for trading Demand Response (DR) in a deregulated power system. This market is termed… (more)

Nguyen, DT

2012-01-01T23:59:59.000Z

473

Geographically Based Hydrogen Demand and Infrastructure Rollout...  

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

Rollout Scenario Analysis Geographically Based Hydrogen Demand and Infrastructure Rollout Scenario Analysis Presentation by Margo Melendez at the 2010-2025 Scenario Analysis for...

474

Home Network Technologies and Automating Demand Response  

E-Print Network [OSTI]

side. Table 1. US Energy Consumption by Sector (2009 -half of all energy consumption in the US. On a per customer

McParland, Charles

2010-01-01T23:59:59.000Z

475

Case Study  

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

Case Study Case Study M2M Smart Grid Investment Grant 1 An irrigation pump connected to a web---to---wireless controller designed by M2M Communications. Agricultural Demand Response Program in California Helps Farmers Reduce Peak Electricity Usage, Operate More Efficiently Year---Round The development of a two---way, web---to---wireless controller for irrigation pumps is the foundation for an agricultural demand response program in California. Designed by M2M Communications of Boise, Idaho, the controller is part of an irrigation load control system that also includes sensors, smart meters, and other monitoring equipment. Partially funded with $2.2 million in Recovery Act stimulus funds awarded by the U.S. Department of

476

Side Stream Filtration for Cooling Towers  

Broader source: Energy.gov [DOE]

Report assesses side stream filtration options for cooling towers with an objective to assess key attributes that optimize energy and water savings and provide information about specific technology and implementation options.

477

Demand Response and Electric Grid Reliability  

E-Print Network [OSTI]

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

Wattles, P.

2012-01-01T23:59:59.000Z

478

DEMAND SIMULATION FOR DYNAMIC TRAFFIC ASSIGNMENT  

E-Print Network [OSTI]

of the response of travelers to real-time pre- trip information. The demand simulator is an extension of dynamicDEMAND SIMULATION FOR DYNAMIC TRAFFIC ASSIGNMENT Constantinos Antoniou, Moshe Ben-Akiva, Michel Bierlaire, and Rabi Mishalani Massachusetts Institute of Technology, Cambridge, MA 02139 Abstract

Bierlaire, Michel

479

A Vision of Demand Response - 2016  

SciTech Connect (OSTI)

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

Levy, Roger

2006-10-15T23:59:59.000Z

480

SUMMER 2007 ELECTRICITY SUPPLY AND DEMAND OUTLOOK  

E-Print Network [OSTI]

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

Note: This page contains sample records for the topic "demand side case" 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

Uranium 2009 resources, production and demand  

E-Print Network [OSTI]

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

Organisation for Economic Cooperation and Development. Paris

2010-01-01T23:59:59.000Z

482

Coordination of Energy Efficiency and Demand Response  

SciTech Connect (OSTI)

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

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

2010-01-29T23:59:59.000Z

483

Encryption-on-Demand, [EOD-g8516] Page #-1 Encryption-On-Demand  

E-Print Network [OSTI]

Encryption-on-Demand, [EOD-g8516] Page #-1 Encryption-On-Demand: Practical and Theoretical be served by an 'encryption-on-demand' (EoD) service which will enable them to communicate securely with no prior preparations, and no after effects. We delineate a possible EoD service, and describe some of its

484

Development of a demand defrost controller. Final report  

SciTech Connect (OSTI)

The purpose of this project was to develop and commercialize a demand defrost controller that initiates defrosts of refrigeration systems only when required. The standard method of control is a time clock that usually defrosts too often, which wastes energy. The controller developed by this project uses an algorithm based on the temperature difference between the discharge and return of the display case air curtain along with several time settings to defrost only when needed. This controller was field tested in a supermarket where it controlled defrost of the low-temperature display cases. According to test results the controller could reduce annual energy consumption by 20,000 and 62,000 kWh for hot gas and electric defrost, respectively. The controller saves electric demand as well as energy, is adaptable to ambient air conditions, and provides valuable savings throughout the year. The savings are greatest for low-temperature systems that use the most energy. A less tangible benefit of the demand controller is the improvement in food quality that results from fewer defrosts.

Borton, D.N. [Power Kinetics, Troy, NY (United States); Walker, D.H. [Foster-Miller, Inc., Waltham, MA (United States)

1993-10-01T23:59:59.000Z

485

Coordination of Energy Efficiency and Demand Response  

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

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

486

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

E-Print Network [OSTI]

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

487

Demand Reductions from the Application of Advanced Metering Infrastructure, Pricing Programs, and Customer-Based Systems - Intial Results  

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

U.S. Department of Energy | December 2012 Table of Contents Executive Summary ................................................................................................................. ii 1. Introduction ..................................................................................................................... 1 1.1 Purpose and Scope.................................................................................................... 1 1.2 Organization of this Report....................................................................................... 3 2. Overview of Demand-Side Devices, Systems, Programs, and Expected Benefits ............... 4 2.1 Communications Networks Associated with AMI .................................................... 4

488

Supply/Demand Forecasts Begin to Show Stock Rebuilding  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: During 1999, we saw stock draws during the summer months, when we normally see stock builds, and very large stock draws during the winter of 1999/2000. Normally, crude oil production exceeds product demand in the spring and summer, and stocks build. These stocks are subsequently drawn down during the fourth and first quarters (dark blue areas). When the market is in balance, the stock builds equal the draws. During 2000, stocks have gradually built, but following the large stock draws of 1999, inventories needed to have been built more to get back to normal levels. As we look ahead using EIA's base case assumptions for OPEC production, non-OPEC production, and demand, we expect a more seasonal pattern for the next 3 quarters. But since we are beginning the year with

489

Health Care Demand, Empirical Determinants of  

Science Journals Connector (OSTI)

Abstract Economic theory provides a powerful but incomplete guide to the empirical determinants of health care demand. This article seeks to provide guidance on the selection and interpretation of demand determinants in empirical models. The author begins by introducing some general rules of thumb derived from economic and statistical principles. A brief review of the recent empirical literature next describes the range of current practices. Finally, a representative example of health care demand is developed to illustrate the selection, use, and interpretation of empirical determinants.

S.H. Zuvekas

2014-01-01T23:59:59.000Z

490

Modeling Framework and Validation of a Smart Grid and Demand Response System for Wind Power Integration  

SciTech Connect (OSTI)

Electricity generation from wind power and other renewable energy sources is increasing, and their variability introduces new challenges to the power system. The emergence of smart grid technologies in recent years has seen a paradigm shift in redefining the electrical system of the future, in which controlled response of the demand side is used to balance fluctuations and intermittencies from the generation side. This paper presents a modeling framework for an integrated electricity system where loads become an additional resource. The agent-based model represents a smart grid power system integrating generators, transmission, distribution, loads and market. The model incorporates generator and load controllers, allowing suppliers and demanders to bid into a Real-Time Pricing (RTP) electricity market. The modeling framework is applied to represent a physical demonstration project conducted on the Olympic Peninsula, Washington, USA, and validation simulations are performed using actual dynamic data. Wind power is then introduced into the power generation mix illustrating the potential of demand response to mitigate the impact of wind power variability, primarily through thermostatically controlled loads. The results also indicate that effective implementation of Demand Response (DR) to assist integration of variable renewable energy resources requires a diversity of loads to ensure functionality of the overall system.

Broeer, Torsten; Fuller, Jason C.; Tuffner, Francis K.; Chassin, David P.; Djilali, Ned

2014-01-31T23:59:59.000Z

491

Time resolved side scatter diagnostics at NOVA  

SciTech Connect (OSTI)

Side scattering of the radiation during the interaction of a laser beam with the long scale length plasma in hohlraum is a difficult problem of relevance to the viability of ICF. It is important to measure the absolute amount of the laser side scatter as well as the angular distribution of that scatter. The OSA diagnostics has been implemented on NOVA to measure these quantities. We have implemented a fiber-optically coupled streak camera to measure the temporally and angularly resolved side scatter radiation at 351 nm at 9 different angles. Filtered PIN diodes were positioned at 31 various angles in the E-field planed and B-field plane of the incident probe beam to sample and measure the scattered radiation at the 351 nm wavelength of the probe. The diode data was used to calibrate the Brillouin power received by the 9 strategically located fiber optic channels. This presentation will describe the OSA and associated diagnostics.

Kyrala, G.A.; Evans, S.C.; Jimerson, J.R.; Fernandez, J.C.

1996-06-01T23:59:59.000Z

492

NCEP_Demand_Response_Draft_111208.indd  

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

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

493

National Action Plan on Demand Response  

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

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

494

Demand Controlled Ventilation and Classroom Ventilation  

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

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

495

China End-Use Energy Demand Modeling  

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

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

496

Software demonstration: Demand Response Quick Assessment Tool  

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

497

Power Consumption Analysis of Architecture on Demand  

Science Journals Connector (OSTI)

Abstract (40-Word Limit): Recently proposed Architecture on Demand (AoD) node shows considerable flexibility benefits against traditional ROADMs. We study the power consumption of AoD...

Garrich, Miquel; Amaya, Norberto; Zervas, Georgios; Giaccone, Paolo; Simeonidou, Dimitra

498

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...

Collins, J.

2008-01-01T23:59:59.000Z

499

SAN ANTONIO SPURS DEMAND FOR ENERGY EFFICIENCY  

Broader source: Energy.gov [DOE]

As a city that experiences seasonal spikes in energy demand and accompanying energy bills, San Antonio, Texas, wanted to help homeowners and businesses reduce their energy use and save on energy...

500

Global Energy: Supply, Demand, Consequences, Opportunities  

SciTech Connect (OSTI)

July 29, 2008 Berkeley Lab lecture: Arun Majumdar, Director of the Environmental Energy Technologies Division, discusses current and future projections of economic growth, population, and global energy demand and supply, and explores the implications of these trends for the environment.

Arun Majumdar

2008-08-14T23:59:59.000Z