National Library of Energy BETA

Sample records for demand side management

  1. Marketing Demand-Side Management 

    E-Print Network [OSTI]

    O'Neill, M. L.

    1988-01-01

    Demand-Side Management is an organizational tool that has proven successful in various realms of the ever changing business world in the past few years. It combines the multi-faceted desires of the customers with the increasingly important...

  2. Integration of Demand Side Management, Distributed Generation...

    Open Energy Info (EERE)

    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,...

  3. Micro economics for demand-side management

    E-Print Network [OSTI]

    Kibune, Hisao

    1991-01-01

    This paper aims to interpret Demand-Side Management (DSM) activity and to point out its problems, adopting microeconomics as an analytical tool. Two major findings follow. first, the cost-benefit analysis currently in use ...

  4. Demand-Side Management and Energy Efficiency Revisited

    E-Print Network [OSTI]

    Auffhammer, Maximilian; Blumstein, Carl; Fowlie, Meredith

    2007-01-01

    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

  5. Agreement Template for Energy Conservation and Demand Side Management...

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

    Agreement Template for Energy Conservation and Demand Side Management Services Agreement Template for Energy Conservation and Demand Side Management Services Template agreement...

  6. Agreement for Energy Conservation and Demand Side Management...

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

    Agreement for Energy Conservation and Demand Side Management Services Template Agreement for Energy Conservation and Demand Side Management Services Template Document features a...

  7. Real-Time Demand Side Energy Management 

    E-Print Network [OSTI]

    Victor, A.; Brodkorb, M.

    2006-01-01

    • Provides periodic energy consumption reports Demand-Side Energy Management • Compares actual energy cost against defined dynamic targets • Alerts responsible personnel when corrective action is needed • Provides a list of recommended actions... stream_source_info ESL-IE-06-05-24.pdf.txt stream_content_type text/plain stream_size 17485 Content-Encoding UTF-8 stream_name ESL-IE-06-05-24.pdf.txt Content-Type text/plain; charset=UTF-8 Real-Time Demand Side Energy...

  8. Industrial Demand-Side Management in Texas 

    E-Print Network [OSTI]

    Jaussaud, D.

    1992-01-01

    stream_source_info ESL-IE-92-04-16.pdf.txt stream_content_type text/plain stream_size 25669 Content-Encoding ISO-8859-1 stream_name ESL-IE-92-04-16.pdf.txt Content-Type text/plain; charset=ISO-8859-1 INDUSTRIAL DEMAND.... Utilities may intervene to shape the load of their customers through demand-side management programs. In doing so, they can improve the efficiency of their system. Historically, utilities in Texas have offered industrial customers energy audits and other...

  9. Industrial demand side management: A status report

    SciTech Connect (OSTI)

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

    1995-05-01

    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.

  10. Load-side Demand Management in Buildings using Controlled Electric Springs

    E-Print Network [OSTI]

    Soni, Jayantika; Krishnanand, KR; Panda, Sanjib

    2014-01-01

    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

  11. Fuse Control for Demand Side Management: A Stochastic Pricing Analysis

    E-Print Network [OSTI]

    Oren, Shmuel S.

    a service contract for load curtailment. Index Terms--Demand side management, aggregated demand response Reliability Technology Solutions (CERTS) for the project Business Model for Retail Aggregation of ResponsiveFuse Control for Demand Side Management: A Stochastic Pricing Analysis Journal: IEEE Transactions

  12. U.S. Electric Utility Demand-Side Management

    Reports and Publications (EIA)

    2002-01-01

    Final issue of this report. - Presents comprehensive information on electric power industry demand side management (DSM) activities in the United States at the national, regional, and utility levels.

  13. Innovative and Progressive Electric Utility Demand-Side Management Strategies 

    E-Print Network [OSTI]

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

    1989-01-01

    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...

  14. Emerging Technologies for Industrial Demand-Side Management 

    E-Print Network [OSTI]

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

    1993-01-01

    Demand-side management (DSM) is a set of actions taken by an electric utility to influence the electricity usage by a customer. Typical DSM activities include rebates for higher efficiency appliances and discounted electric rates for electric...

  15. U.S. electric utility demand-side management 1993

    SciTech Connect (OSTI)

    1995-07-01

    This report presents comprehensive information on electric power industry demand-side management activities in the United States at the national, regional, and utility levels. Data is included for energy savings, peakload reductions, and costs.

  16. 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.

  17. Industrial Rates and Demand-Side Management Programs 

    E-Print Network [OSTI]

    Kasprowicz, L. M.; House, R.

    1993-01-01

    The industrial sector in Texas is large and energy intensive. Industrial sales constitute a major portion of total sales for several utilities in Texas. Industrial demand-side management (DSM) can be used by utilities to provide industrial customers...

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

    E-Print Network [OSTI]

    Harper, Meg

    2014-01-01

    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

  19. Load-side Demand Management in Buildings using Controlled Electric Springs

    E-Print Network [OSTI]

    Soni, Jayantika; Krishnanand, KR; Panda, Sanjib

    2014-01-01

    L. Goel, "Demand side load management of smart grids usingP. Shenoy, "Demand-side load management in smart homes," inLoad-side Demand Management in Buildings using Controlled

  20. A Demand-Side Management Experience in Existing Building Commissioning 

    E-Print Network [OSTI]

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

    2003-01-01

    As part of a suite of demand-side management (DSM) program offerings, Xcel Energy provides a recommissioning program to its Colorado commercial customers. The program has a summer peak-demand savings goal of 7.8 MW to be achieved by 2005. Commenced...

  1. Integration of Demand Side Management, Distributed Generation...

    Open Energy Info (EERE)

    United 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...

  2. U.S. electric utility demand-side management 1995

    SciTech Connect (OSTI)

    NONE

    1997-01-01

    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.

  3. U.S. electric utility demand-side management 1996

    SciTech Connect (OSTI)

    1997-12-01

    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.

  4. US electric utility demand-side management, 1994

    SciTech Connect (OSTI)

    NONE

    1995-12-26

    The report presents comprehensive information on electric power industry demand-side management (DSM) activities in US at the national, regional, and utility levels. Objective is 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.

  5. Demand Side Management (DSM) Through Absorption Refrigeration Systems 

    E-Print Network [OSTI]

    Chao, P. Y.; Shukla, D.; Amarnath, A.; Mergens, E.

    1992-01-01

    will be illustrated by two recent case studies. INTRODUCTION This paper deals with a Demand Side Management (DSM) option of using waste heat for refrigeration. Absorption Refrigeration from waste heat offers a viable option for DSM. This can profitably either... years. The potential for avoided cost through DSM will approach $45 billion over the next decade(1,2). Waste Energy And Pollutants The U.S. industry consumes more than 30 quads (quadrillion Btu) of energy each year. About one third...

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

    E-Print Network [OSTI]

    Boutaba, Raouf

    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

  7. Abstract--Smart Grid technology appears necessary to succeed in activating the demand through demand side management

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    demand side management (DSM) programs. This would in turn improve energy efficiency and achieve is envisioning. Index Terms-- Demand-Side Management; Dynamic Pricing; Generation Mix; Isolated Market-grid technology is a key component in the development of demand-side management schemes. As underlined by many

  8. Tackling Co-existence and Fairness Challenges in Autonomous Demand Side Management

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    Tackling Co-existence and Fairness Challenges in Autonomous Demand Side Management Zahra Baharlouei--Consider a smart grid system in which every user may or may not choose to participate in Demand Side Manage- ment Demand side management (DSM) commonly refers to pro- grams implemented by utility companies to control

  9. Advanced Demand Side Management for the Future Smart Grid Using Mechanism Design

    E-Print Network [OSTI]

    Wong, Vincent

    1 Advanced Demand Side Management for the Future Smart Grid Using Mechanism Design Pedram Samadi for demand side management such as efficiency, user truthfulness, and nonnegative transfer. Simulation: Demand side management, VCG mechanism design, energy consumption control, smart grid. I. INTRODUCTION

  10. CSEM WP 165R Demand-Side Management and Energy Efficiency

    E-Print Network [OSTI]

    Auffhammer, Maximilian

    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

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

    E-Print Network [OSTI]

    Gilbert, S. M.

    1990-01-01

    their load management goals, this presentation highlights what has been tried, pros and cons of each approach, lessons learned and trends in demand side management for the future....

  12. DEMAND SIDE ENERGY MANAGEMENT AND CONSERVATION PROGRAM Measurement and Verification Program

    E-Print Network [OSTI]

    Hofmann, Hans A.

    DEMAND SIDE ENERGY MANAGEMENT AND CONSERVATION PROGRAM Measurement and Verification Program 4&V deliverables requested here meet the Federal Energy Management Program (FEMP) intent for a "Post- Installation

  13. Autonomous Demand Side Management Based on Game-Theoretic Energy Consumption

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    Autonomous Demand Side Management Based on Game-Theoretic Energy Consumption Scheduling side energy management system among users that takes advantage of a two-way digital communication distributed demand side energy management strategy requires each user to simply apply its best response

  14. Managing Sustainable Demand-side Infrastructure for Power System Ancillary Services

    E-Print Network [OSTI]

    Victoria, University of

    Managing Sustainable Demand-side Infrastructure for Power System Ancillary Services by Simon Sustainable Demand-side Infrastructure for Power System Ancillary Services by Simon Christopher Parkinson B highly-distributed sustainable demand- side infrastructure, in the form of heat pumps, electric vehicles

  15. An alternative to the proposed Demand Side Management program

    E-Print Network [OSTI]

    Hughes, Larry

    ) that are restricting the export of energy products, primarily crude oil, to world markets (IEA, 2007; NPC, 2007 primary energy sources, including fossil fuels (coal, oil, and natural gas), moving water (hydroelectric by-products) or the demand-side (by encouraging consumers to change their electricity consumption

  16. Towards a systematic characterization of the potential of demand side management

    E-Print Network [OSTI]

    Kleinhans, David

    2014-01-01

    With an increasing share of electric energy produced from non-dispatchable renewable sources both energy storage and demand side management might gain tremendously in importance. While there has been significant progress in general properties and technologies of energy storage, the systematic characterization of features particular to demand side management such as its intermittent, time-dependent potential seems to be lagging behind. As a consequence, the development of efficient and sustainable strategies for demand side management and its integration into large-scale energy system models are impeded. This work introduces a novel framework for a systematic time-resolved characterization of the potential for demand side management. It is based on the specification of individual devices both with respect to their scheduled demand and their potential of load shifting. On larger scales sector-specific profiles can straightforwardly be taken into account. The potential for demand side management is then specifie...

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

    E-Print Network [OSTI]

    Victoria, University of

    Maximizing Energy Savings Reliability in BC Hydro Industrial Demand-side Management Programs Supervisory Committee Maximizing Energy Savings Reliability in BC Hydro Industrial Demand-side Management savings over time. As BC Hydro increases its DSM initiatives to meet the Clean Energy Act objective

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

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Mul$-scale Demand-Side Management for Con$nuous Power-intensive Processes-dependent) Load Informa(on Electricity ((me-dependent) Load Informa(on Transmission, Distribu Response Energy Efficiency Demand-Side Management (DSM)1 Integra

  19. On Coordinating Electricity Markets: Smart Power Scheduling for Demand Side Management and Economic Dispatch

    E-Print Network [OSTI]

    Chen, Yiling

    On Coordinating Electricity Markets: Smart Power Scheduling for Demand Side Management and Economic;On Coordinating Electricity Markets: Smart Power Scheduling for Demand Side Management and Economic Dispatch Abstract Information asymmetry in retail electricity markets is one of the largest sources of inef

  20. Guidelines for Marketing Demand-Side Management in the Commercial Sector 

    E-Print Network [OSTI]

    George, S. S.

    1988-01-01

    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...

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

    E-Print Network [OSTI]

    Rosenblum, J. I.

    1994-01-01

    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, ...

  2. A COMPLEX ADAPTIVE SYSTEMS ANALYSIS TO EXPLORE OPTIMAL SUPPLY-SIDE AND DEMAND-SIDE MANAGEMENT STRATEGIES FOR URBAN WATER RESOURCES 

    E-Print Network [OSTI]

    Aljanabi, Hassan

    2012-05-04

    Urban water management specifies both supply-side and demand-side strategies to balance water supply and demands for social and environmental systems. As the sustainability of water resources depends on the dynamic interactions among the consumers...

  3. BRENNAN --DSM UNDER COMPETITION: 1 Demand-Side Management Programs Under Retail

    E-Print Network [OSTI]

    California at Berkeley. University of

    BRENNAN -- DSM UNDER COMPETITION: 1 Demand-Side Management Programs Under Retail Electricity of California Berkeley, CA March 5, 1999 #12;BRENNAN -- DSM UNDER COMPETITION: 2 Game plan · Demand More like getting a check from oil companies if one buys a high mileage car · Conservation

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

    E-Print Network [OSTI]

    Huang, Jianwei

    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 supply and demand in an isolated microgrid [2], which is an important concept for renewable energy

  5. Near Optimal Demand-Side Energy Management Under Real-time Demand-Response Pricing

    E-Print Network [OSTI]

    Boutaba, Raouf

    1999 when abnormal hot weather combined with electricity generation shortage resulted in unheard management and is a major con- tributor of electric grid faults. Although peak demand happens very infrastructure (Figure 1): technology upgrade of the electric grid system, all-digital management infrastructure

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    by the distribution utility for the security. REMPLI (Remote Energy Management over Power Lines and Internet) system of distribution network. They should be monitored and controlled in DA system. The load monitoring and estimationAbstract--Implementation of Distribution Automation (DA) and Demand Side Management (DSM) intended

  7. 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 Energiforskningsprogrammet EFP ENS J.nr. 1373/01-0041 December 2004 #12;Simple models of district heating systems for load 87-7475-323-1 #12;Preface The research project "Simple models of district heating systems for load

  8. Electricity pricing as a demand-side management strategy: Western lessons for developing countries

    SciTech Connect (OSTI)

    Hill, L.J.

    1990-12-01

    Electric utilities in the Western world have increasingly realized that load commitments can be met not only by constructing new generating plants but also by influencing electricity demand. This demand-side management (DSM) process requires that electric utilities promote measures on the customer's side of the meter to directly or indirectly influence electricity consumption to meet desired load objectives. An important demand-side option to achieve these load objectives is innovative electricity pricing, both by itself and as a financial incentive for other demand-site measures. This study explores electricity pricing as a DSM strategy, addressing four questions in the process: What is the Western experience with DSM in general and electricity pricing in particular Do innovative pricing strategies alter the amount and pattern of electricity consumption Do the benefits of these pricing strategies outweigh the costs of implementation What are future directions in electricity pricing Although DSM can be used to promote increases in electricity consumption for electric utilities with excess capacity as well as to slow demand growth for capacity-short utilities, emphasis here is placed on the latter. The discussion should be especially useful for electric utilities in developing countries that are exploring alternatives to capacity expansion to meet current and future electric power demand.

  9. Demand Side Management in the Smart Grid: Information Processing for the Power Switch

    SciTech Connect (OSTI)

    Alizadeh, Mahnoosh; LI, Xiao; Wang, Zhifang; Scagilone, Anna; Melton, Ronald B.

    2012-09-01

    In this article we discuss the most recent developments in the area of load management, and consider possible interaction schemes of novel architectures with distributed energy resources (DER). In order to handle the challenges faced by tomorrow’s smart grid, which are caused by volatile load and generation profiles (from the large number of plug-in EVs and from renewable integration), the conventional grid operating principle of load-following needs to be changed into load-shaping or generation-following. Demand Side Management will be a most promising and powerful solution to the above challenges. However, many other issues such as load forecasting, pricing structure, market policy, renewable integration interface, and even the AC/DC implementation at the distribution side, need to be taken into the design in order to search for the most effective and applicable solution.

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

    SciTech Connect (OSTI)

    Pritchett, T.; Moody, L. ); Brubaker, M. )

    1993-11-01

    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.

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

    SciTech Connect (OSTI)

    Nailen, R.L.

    1997-01-01

    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.

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

    SciTech Connect (OSTI)

    Nailen, R.L.

    1995-12-31

    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.

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

    SciTech Connect (OSTI)

    1995-08-01

    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.

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

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Neufville Professor of Engineering Systems Chair, ESD Education Committee #12;2 #12;3 Electricity DemandElectricity Demand-Side Management for an Energy Efficient Future in China: Technology Options: ______________________________________________________________ : Stephen R. Connors Director, Analysis Group for Regional Electricity Alternatives Thesis Supervisor

  15. Hawaii demand-side management resource assessment. Final report, Reference Volume 1: Building prototype analysis

    SciTech Connect (OSTI)

    1995-04-01

    This report provides a detailed description of, and the baseline assumptions and simulation results for, the building prototype simulations conducted for the building types designated in the Work Plan for Demand-side Management Assessment of Hawaii`s Demand-Side Resources (HES-4, Phase 2). This report represents the second revision to the initial building prototype description report provided to DBEDT early in the project. Modifications and revisions to the prototypes, based on further calibration efforts and on comments received from DBEDT Staff have been incorporated into this final version. These baseline prototypes form the basis upon which the DSM measure impact estimates and the DSM measure data base were developed for this project. This report presents detailed information for each of the 17 different building prototypes developed for use with the DOE-21E program (23 buildings in total, including resorts and hotels defined separately for each island) to estimate the impact of the building technologies and measures included in this project. The remainder of this section presents some nomenclature and terminology utilized in the reports, tables, and data bases developed from this project to denote building type and vintage. Section 2 contains a more detailed discussion of the data sources, the definition of the residential sector building prototypes, and results of the DOE-2 analysis. Section 3 provides a similar discussion for the commercial sector. The prototype and baseline simulation results are presented in a separate section for each building type. Where possible, comparison of the baseline simulation results with benchmark data from the ENERGY 2020 model or other demand forecasting models specific to Hawaii is included for each building. Appendix A contains a detailed listing of the commercial sector baseline indoor lighting technologies included in the existing and new prototypes by building type.

  16. Electric Utility Demand-Side Evaluation Methodologies 

    E-Print Network [OSTI]

    Treadway, N.

    1986-01-01

    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... cost and certification proceedings. A s~andard benefit-cost methodology analyzes demand-slde management programs from various ~oints of view. The benefit-cost methodology now ln use by several electric utilities and the * The views presented...

  17. Industrial demand-side management programs: What`s happened, what works, what`s needed

    SciTech Connect (OSTI)

    Jordan, J.A.; Nadel, S.M.

    1993-03-01

    In order to analyze experience to date with industrial demand-side management (DSM), a survey of utilities was conducted and a database of industrial DSM programs was prepared. More than eighty utilities and third-party organizations were interviewed. Data were collected via phone, fax, and/or mail from the utilities and entered into a database. In order to limit the scope of this study, the database contains incentive-based, energy-saving programs and not load management or information-only programs (including technical assistance programs). Programs in the database were divided into four categories: two ``prescriptive rebate`` categories and two ``custom rebate`` categories. The database contains 31 incentive-based, energy-saving industrial DSM programs offered by 17 utilities. The appendix to this report summarizes the results approximately 60 industrial DSM programs. Most of the programs included in the appendix, but not in the database, are either C&I programs for which commercial and industrial data were not disaggregated or new industrial DSM programs for which data are not yet available.

  18. Journal of Artificial Intelligence Research 50 (2014) 885-922 Submitted 4/14; published 8/14 Demand Side Energy Management via Multiagent Coordination in

    E-Print Network [OSTI]

    Sadeh, Norman M.

    2014-01-01

    Side Energy Management via Multiagent Coordination in Consumer Cooperatives Andreas Veit ANDREAS are to increase the penetration of renewable sources, and to manage supply and demand so as to reduce demand peaks demand supply balance by adjusting only the supply side leads to the use of flexible (usually diesel

  19. Local government involvement in long term resource planning for community energy systems. Demand side management

    SciTech Connect (OSTI)

    Not Available

    1992-03-01

    A program was developed to coordinate governmental, research, utility, and business energy savings efforts, and to evaluate future potential actions, based on actual field data obtained during the implementation of Phase I of the State Resource Plan. This has lead to the establishment of a state conservation and energy efficiency fund for the purpose of establishing a DSM Program. By taking a state wide perspective on resource planning, additional savings, including environmental benefits, can be achieved through further conservation and demand management. This effort has already blossomed into a state directive for DSM programs for the natural gas industry.

  20. Demand-Side Response from Industrial Loads

    SciTech Connect (OSTI)

    Starke, Michael R; Alkadi, Nasr E; Letto, Daryl; Johnson, Brandon; Dowling, Kevin; George, Raoule; Khan, Saqib

    2013-01-01

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

  1. Demand Side Dispatching, Part 2: An Industrial Application 

    E-Print Network [OSTI]

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

    1993-01-01

    As part of their Demand Side Management programs, electric utility companies often offer Time of Use (TOU) or other incentive rates to large industrial clients. Such rates offer potential money saving opportunities to industrial clients...

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

    E-Print Network [OSTI]

    Stojmenovic, Ivan

    , 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

  3. Demand Response Valuation Frameworks Paper

    E-Print Network [OSTI]

    Heffner, Grayson

    2010-01-01

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    be the basis for local energy policies and energy efficiency/demand-side management activities1, have been) activities in 1. DSM: Demand-Side Management; EE: energy efficiency (here, does not include renewableECEEE 2005 SUMMER STUDY ­ WHAT WORKS & WHO DELIVERS? 183 1,202 Local energy efficiency and demand-side

  5. Managing Increased Charging Demand

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

    Managing Increased Charging Demand Carrie Giles ICF International, Supporting the Workplace Charging Challenge Workplace Charging Challenge Do you already own an EV? Are you...

  6. A Comparison of Demand Side Management Data Assessment Procedures for Small and Medium-Sized Manufacturing Plants 

    E-Print Network [OSTI]

    Matheidas, M. T.; Heffington, W. M.

    1995-01-01

    Two methods of obtaining demand reduction data from industrial energy audits are compared. One very simple method calculates demand savings by dividing energy savings in kilowatt hours by the operating hours of the plant. Problems (some obvious...

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

    E-Print Network [OSTI]

    Cheng, Chia-Chin

    2005-01-01

    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 ...

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

    E-Print Network [OSTI]

    Nagurney, Anna

    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

  9. Electrical Demand Management 

    E-Print Network [OSTI]

    Fetters, J. L.; Teets, S. J.

    1983-01-01

    The Demand Management Plan set forth in this paper has proven to be a viable action to reduce a 3 million per year electric bill at the Columbus Works location of Western Electric. Measures are outlined which have reduced the peak demand 5% below...

  10. State Demand-Side Management Programs Funds are Exploding! How Industries Can Best Use These Programs to Maximize Their Benefits 

    E-Print Network [OSTI]

    Nicol, J.

    2008-01-01

    Find out from an Industrial Program Manager that runs a successful state DSM/Energy Efficiency program for the industrial sector how to best find, use and benefit from these types of programs. The amount of money that ...

  11. Hawaii Energy Strategy: Program guide. [Contains special sections on analytical energy forecasting, renewable energy resource assessment, demand-side energy management, energy vulnerability assessment, and energy strategy integration

    SciTech Connect (OSTI)

    Not Available

    1992-09-01

    The Hawaii Energy Strategy program, or HES, is a set of seven projects which will produce an integrated energy strategy for the State of Hawaii. It will include a comprehensive energy vulnerability assessment with recommended courses of action to decrease Hawaii's energy vulnerability and to better prepare for an effective response to any energy emergency or supply disruption. The seven projects are designed to increase understanding of Hawaii's energy situation and to produce recommendations to achieve the State energy objectives of: Dependable, efficient, and economical state-wide energy systems capable of supporting the needs of the people, and increased energy self-sufficiency. The seven projects under the Hawaii Energy Strategy program include: Project 1: Develop Analytical Energy Forecasting Model for the State of Hawaii. Project 2: Fossil Energy Review and Analysis. Project 3: Renewable Energy Resource Assessment and Development Program. Project 4: Demand-Side Management Program. Project 5: Transportation Energy Strategy. Project 6: Energy Vulnerability Assessment Report and Contingency Planning. Project 7: Energy Strategy Integration and Evaluation System.

  12. Overview of Demand Side Response | Department of Energy

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

    Partnership Working Group (FUPWG) Fall 2008 meeting-discusses the utility PJM's demand side response (DSR) capabilities, including emergency and economic responses....

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

    E-Print Network [OSTI]

    Kumana, J. D.; Nath, R.

    1993-01-01

    In order to develop effective Demand Side Management (DSM) programs, it is important to properly understand the cogeneration capabilities of large industrial customers. Projecting historical trends may be simple and convenient, but can lead...

  14. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

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

  15. Energy conservation and electricity sector liberalization: Case-studies on the development of cogeneration, wind energy and demand-side management in the Netherlands, Denmark, Germany and the United Kingdom

    SciTech Connect (OSTI)

    Slingerland, S.

    1998-07-01

    In this paper, the development of cogeneration, wind energy and demand-side management in the Netherlands, Denmark, Germany and the United Kingdom are compared. It is discussed to what extent these developments are determined by the liberalization process. Three key liberalization variables are identified: unbundling, privatization and introduction of competition. The analysis suggests that unbundling prior to introduction of full competition in generation is particularly successful in stimulating industrial cogeneration; simultaneous introduction of competition and unbundling mainly stimulates non-cogeneration gas-based capacity; and introduction of competition in itself is likely to impede the development of district-heating cogeneration. Furthermore, it is argued that development of wind energy and demand-side management are primarily dependent on the kind of support system set up by policy makers rather than on the liberalization process. Negative impacts of introduction of competition on integrated resource planning and commercial energy services could nevertheless be expected.

  16. Demand Response: Load Management Programs 

    E-Print Network [OSTI]

    Simon, J.

    2012-01-01

    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-peak period or from high-price periods...

  17. 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)

    1995-04-01

    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.

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

    E-Print Network [OSTI]

    Han, Junqiao; Piette, Mary Ann

    2008-01-01

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

  19. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01

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

  20. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01

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

  1. Opportunities, Barriers and Actions for Industrial Demand Response in California

    E-Print Network [OSTI]

    McKane, Aimee T.

    2009-01-01

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

  2. Coordinated Aggregation of Distributed Demand-Side Resources

    E-Print Network [OSTI]

    community control. It includes renewable micro-generation, storage, combined heat and power, and highlyCoordinated Aggregation of Distributed Demand-Side Resources Final Project Report Power Systems@cornell.edu Phone: 607-255-7156 Power Systems Engineering Research Center The Power Systems Engineering

  3. Coordinated Aggregation of Distributed Demand-Side Resources

    E-Print Network [OSTI]

    control. It includes renewable micro-generation, storage, combined heat and power, and highly adjustableCoordinated Aggregation of Distributed Demand-Side Resources Final Project Report Power Systems@cornell.edu Phone: 607-255-7156 Power Systems Engineering Research Center The Power Systems Engineering

  4. 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]

    for the determination of the optimum program level to be included in the IRP. The demand-side management options wereDSM Program Development. The demand-side resource options were developed using a combination Practices Manual: Economic Analysis of Demand-side Programs and Projects.2 The proposed DSM programs

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

    E-Print Network [OSTI]

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

    2006-01-01

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

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

    E-Print Network [OSTI]

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

    2007-01-01

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

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

    E-Print Network [OSTI]

    Piette, Mary Ann; Kiliccote, Sila

    2006-01-01

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

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8,Department of2 Federal Register /1 PiotrDraft3: Demand-Side

  9. Hawaii demand-side management resource assessment. Final report, Reference Volume 4: The DBEDT DSM assessment model user`s manual

    SciTech Connect (OSTI)

    1995-04-01

    The DBEDT DSM Assessment Model (DSAM) is a spreadsheet model developed in Quattro Pro for Windows that is based on the integration of the DBEDT energy forecasting model, ENERGY 2020, with the output from the building energy use simulation model, DOE-2. DOE-2 provides DSM impact estimates for both energy and peak demand. The ``User`s Guide`` is designed to assist DBEDT staff in the operation of DSAM. Supporting information on model structure and data inputs are provided in Volumes 2 and 3 of the Final Report. DSAM is designed to provide DBEDT estimates of the potential DSM resource for each county in Hawaii by measure, program, sector, year, and levelized cost category. The results are provided for gas and electric and for both energy and peak demand. There are two main portions of DSAM, the residential sector and the commercial sector. The basic underlying logic for both sectors are the same. However, there are some modeling differences between the two sectors. The differences are primarily the result of (1) the more complex nature of the commercial sector, (2) memory limitations within Quattro Pro, and (3) the fact that the commercial sector portion of the model was written four months after the residential sector portion. The structure for both sectors essentially consists of a series of input spreadsheets, the portion of the model where the calculations are performed, and a series of output spreadsheets. The output spreadsheets contain both detailed and summary tables and graphs.

  10. Michel Meulpolder Managing Supply and Demand of

    E-Print Network [OSTI]

    Michel Meulpolder Managing Supply and Demand of Bandwidth in Peer-to-Peer Communities #12;#12;Managing Supply and Demand of Bandwidth in Peer-to-Peer Communities Proefschrift ter verkrijging van de

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

    E-Print Network [OSTI]

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

    2006-01-01

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

  12. Hawaii demand-side management resource assessment. Final report, Reference Volume 5: The DOETRAN user`s manual; The DOE-2/DBEDT DSM forecasting model interface

    SciTech Connect (OSTI)

    1995-04-01

    The DOETRAN model is a DSM database manager, developed to act as an intermediary between the whole building energy simulation model, DOE-2, and the DBEDT DSM Forecasting Model. DOETRAN accepts output data from DOE-2 and TRANslates that into the format required by the forecasting model. DOETRAN operates in the Windows environment and was developed using the relational database management software, Paradox 5.0 for Windows. It is not necessary to have any knowledge of Paradox to use DOETRAN. DOETRAN utilizes the powerful database manager capabilities of Paradox through a series of customized user-friendly windows displaying buttons and menus with simple and clear functions. The DOETRAN model performs three basic functions, with an optional fourth. The first function is to configure the user`s computer for DOETRAN. The second function is to import DOE-2 files with energy and loadshape data for each building type. The third main function is to then process the data into the forecasting model format. As DOETRAN processes the DOE-2 data, graphs of the total electric monthly impacts for each DSM measure appear, providing the user with a visual means of inspecting DOE-2 data, as well as following program execution. DOETRAN provides three tables for each building type for the forecasting model, one for electric measures, gas measures, and basecases. The optional fourth function provided by DOETRAN is to view graphs of total electric annual impacts by measure. This last option allows a comparative view of how one measure rates against another. A section in this manual is devoted to each of the four functions mentioned above, as well as computer requirements and exiting DOETRAN.

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

    E-Print Network [OSTI]

    Kumar, Ratnesh

    their operations prone to high demand charges. In fact, demand control has been used in residential power systemsAn MILP Formulation for Load-Side Demand Control Zhonghui Luo, Ratnesh Kumar* , Joseph Sottile linear programming formulation for load-side control of electrical energy demand. The formulation

  14. Opportunities and prospects for demand-side efficiency improvements

    SciTech Connect (OSTI)

    Kuliasha, M.A.

    1993-12-31

    Substantial progress has been made over the last 20 years in improving energy efficiency in all sectors of the US economy. Although there remains a large potential for further efficiency gains, progress in improving energy efficiency has slowed recently. A combination of low energy prices, environmental challenges, and life-style changes have caused energy consumption to resume rising. Both new policies and technologies will be necessary to achieve cost-effective levels of energy efficiency. This paper describes some of the promising new demand-side technologies that are currently being implemented, nearing commercialization, or in advanced stages of development. The topics discussed include finding replacements for chlorofluorocarbons (CFCs), new building equipment and envelope technologies, lessons learned about conservation program implementation, and the role of utilities in promoting the efficient use of energy.

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

    E-Print Network [OSTI]

    O'Toole, Alice J.

    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

  16. Demand Side Management in Rangan Banerjee

    E-Print Network [OSTI]

    Banerjee, Rangan

    -Drive Systems - Industrial Efficient Lighting - Commercial/Residential Process Improvements- Industrial Solar Water Heaters ­ Residential/Commercial Efficient AC ­ Commercial/ Residential Cogeneration/Captive Power

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

    E-Print Network [OSTI]

    California at Berkeley. University of

    .3 Retail Markets 9 2.4 Generating Plants 10 2.5 Storage, Generation, Price and Trade Patterns 14 3. SupplyPWP-063 ZONAL PRICING AND DEMAND-SIDE BIDDING IN THE NORWEGIAN ELECTRICITY MARKET Tor Arnt Johnsen.ucei.berkeley.edu/ucei #12;ZONAL PRICING AND DEMAND-SIDE BIDDING IN THE NORWEGIAN ELECTRICITY MARKET Tor Arnt Johnsen, Shashi

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

    SciTech Connect (OSTI)

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

    1994-05-01

    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.

  19. Electricity Demand and Energy Consumption Management System

    E-Print Network [OSTI]

    Sarmiento, Juan Ojeda

    2008-01-01

    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...

  20. Water demand management in Kuwait

    E-Print Network [OSTI]

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

    2006-01-01

    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 ...

  1. International Energy Agency Implementing Agreements and Annexes: A Guide for Building Technologies Program Managers

    E-Print Network [OSTI]

    Evans, Meredydd

    2008-01-01

    Energy, Washington, DC. Demand Side Management ImplementingEnergy Agency Demand Side Management Programme. Task XIII:Energy Agency Demand Side Management Program. Task XIII:

  2. Coordination of Retail Demand Response with Midwest ISO Markets

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2008-01-01

    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.

  3. Integrated Transmission and Distribution Effects of Demand-Side Participation

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    to retail customers Wholesale net load Load Aggregators Retailers Intermediaries Wholesale Power Market Retail Power Market #12;IRW Test Bed = AMES + Distribution Feeders http://www2.econ,tesfatsi}@iastate.edu 1 Panel Session: Wholesale and Retail Market Interaction Requirements for Effective Demand

  4. China-Transportation Demand Management in Beijing: Mitigation...

    Open Energy Info (EERE)

    China-Transportation Demand Management in Beijing: Mitigation of Emissions in Urban Transport Jump to: navigation, search Name Transportation Demand Management in Beijing -...

  5. ConservationandDemand ManagementPlan

    E-Print Network [OSTI]

    Abolmaesumi, Purang

    to monitor system status for leaks and losses, energy management, Preventative Maintenance work and implement energy Conservation and Demand Management (CDM) plans starting in 2014. Requirementsofthe/replacements and minor construction projects to ensure energy efficient equipment is selected for systems and design

  6. Evidence is growing on demand side of an oil peak

    SciTech Connect (OSTI)

    2009-07-15

    After years of continued growth, the number of miles driven by Americans started falling in December 2007. Not only are the number of miles driven falling, but as cars become more fuel efficient, they go further on fewer gallons - further reducing demand for gasoline. This trend is expected to accelerate. Drivers include, along with higher-efficiency cars, mass transit, reversal in urban sprawl, biofuels, and plug-in hybrid vehicles.

  7. Demand Side Energy Saving though Proper Construction Practices and Materials Selection 

    E-Print Network [OSTI]

    El-Hawary, M.

    2010-01-01

    and their effect on demand side energy are assessed. Using local materials, pozzolanic blended cements, fillers, along with specifying 56 days strength in design are discussed and assessed. Proper mix design, quality control and proper architectural design also...

  8. Construction of a Demand Side Plant with Thermal Energy Storage 

    E-Print Network [OSTI]

    Michel, M.

    1989-01-01

    Utility managements have two primary responsibilities. They must supply reliable electric service to meet the needs of their customers at the most efficient price possible while at the same time generating the maximum rate of return possible...

  9. A Hierarchical Framework for Demand-Side Frequency Control

    SciTech Connect (OSTI)

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

    2014-06-02

    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.

  10. Buildings sector demand-side efficiency technology summaries

    SciTech Connect (OSTI)

    Koomey, J.G.; Johnson, F.X.; Schuman, J. [and others

    1994-03-01

    This report provides descriptions of the following energy efficiency technologies: energy management systems; electronic fluorescent ballasts; compact fluorescent lamps; lighting controls; room air conditioners; high albedo materials, coatings and paints; solar domestic water heaters; heat pump water heaters; energy-efficient motors; adjustable-speed drives; energy-efficient refrigerators; daylight control glazing; insulating glazing; solar control glazing; switchable glazing; tree planting; and advanced insulation. For each technology, the report provides a description of performance characteristics, consumer utility, development status, technology standards, equipment cost, installation, maintenance, conservation programs, and environmental impacts.

  11. Energy Conservation and Commercialization in Gujarat: Report On Demand Side

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePowerEdisto Electric Coop, Inc JumpElko,Servizi EngineeringManagement (DSM) In

  12. 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

  13. Demand Control Utilizing Energy Management Systems - Report of Field Tests 

    E-Print Network [OSTI]

    Russell, B. D.; Heller, R. P.; Perry, L. W.

    1984-01-01

    Energy Management systems and particularly demand controllers are becoming more popular as commercial and light industrial operations attempt to reduce their electrical usage and demand. Numerous techniques are used to control energy use and demand...

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

    the ongoing pilot demand-side management (DSM) programs ina comprehensive demand-side management (DSM) pilot program,a directive on demand-side management (DSM) in late 2010.

  15. Location, location, location: The variable value of renewable energy and demand-side efficiency resources

    E-Print Network [OSTI]

    Fowlie, Meredith

    and renewable energy resources. We eval- uate renewable energy (RE) and energy efficiency (EE) technologiesLocation, location, location: The variable value of renewable energy and demand-side efficiency mitigation efforts in the electricity sector emphasize accelerated deployment of energy efficiency measures

  16. Demand-Side Planning in Texas-Past, Present, and Future 

    E-Print Network [OSTI]

    Biedrzycki, C.

    1986-01-01

    Section 23.22 of the Substantive Rules of the Public Utility Commission of Texas requires that generating utilities and utilities with more than 20,000 customers file energy efficiency plans. The plans identify and evaluate supply-side and demand...

  17. Risk Management for Video-on-Demand Servers leveraging Demand Forecast

    E-Print Network [OSTI]

    Li, Baochun

    Risk Management for Video-on-Demand Servers leveraging Demand Forecast Di Niu, Hong Xu, Baochun Li}@eecg.toronto.edu Shuqiao Zhao Multimedia Development Group UUSee, Inc. shuqiao.zhao@gmail.com ABSTRACT Video-on-demand (VoD) servers are usually over-provisioned for peak demands, incurring a low average resource effi- ciency

  18. DESIGNING COST EFFECTIVE DEMAND MANAGEMENT CONTRACTS USING GAME THEORY

    E-Print Network [OSTI]

    to the customer to participate in demand management programs and provide load relief. The utility has to design cost effec- tive yet attractive demand management contracts. The main goal is to get load relief when interruptibility). Keywords: Demand manage- ment, mechanism design, load interruption, load cur- tailment, system

  19. 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

  20. Optimal Demand Response with Energy Storage Management

    E-Print Network [OSTI]

    Huang, Longbo; Ramchandran, Kannan

    2012-01-01

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

  1. 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]

    Shapiro, Benjamin

    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

  2. Designing Cost Effective Demand Management Contracts using Game Theory

    E-Print Network [OSTI]

    to the customer to participate in demand management programs and provide load relief. The utility has to design cost effective yet at- tractive demand management contracts. The main goal is to get load relief when management, mechanism design, load interruption, load cur- tailment, system security. 1 #12;Introduction

  3. Decentralized demand management for water distribution 

    E-Print Network [OSTI]

    Zabolio, Dow Joseph

    1989-01-01

    OF THE DEMAND CURVE 30 31 35 39 Model Development Results 39 45 VI CONTROLLER DESIGN AND COSTS 49 Description of Controller Production and Installation Costs 49 50 VII SYSTEM EVALUATION AND ECONOMICS 53 System Response and Degree of Control... Patterns 9 Typical Winter Diurnal Patterns 10 Trace of Marginal Pump Efficiency and Hourly Demand 11 Original Demand Distribution and Possible Redistributions 33 34 40 41 43 46 12 Typical Nodal Responses to Demand Change 54 ix LIST OF TABLES...

  4. FORECAST COMBINATION IN REVENUE MANAGEMENT DEMAND FORECASTING

    E-Print Network [OSTI]

    Fernandez, Thomas

    Demandness in Rewriting and Narrowing Sergio Antoy1 and Salvador Lucas2 1 Computer Science by a strategy to compute a step. The notion of demandness provides a suitable framework for pre- senting that the notion of demandness is both atomic and fundamental to the study of strategies. 1 Introduction Modern

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

    E-Print Network [OSTI]

    Olsen, Daniel

    2013-01-01

    Capabilities due to Energy Management Improvement inSummary Introduction Energy Management Demand Responseand Processes Energy Management and Demand Response History

  6. Demand Side Energy Management via Multiagent Coordination in Consumer Cooperatives

    E-Print Network [OSTI]

    consumption patterns in response to changes in the price of electricity over time" (Albadi & El-Saadany, 2007 School of Business Kaiserstrasse 12 Carnegie Mellon University 76131 Karlsruhe, Germany. Pittsburgh, PA of the cooperative. In the cooperative, a central coordinator buys the electricity for the whole group and consumers

  7. Agreement Template for Energy Conservation and Demand Side Management

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels Research at NRELDepartment of Energy

  8. Integration of Demand Side Management, Distributed Generation, Renewable

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on OpeneiAlbanian Centre forBibliography of Web-BasedEnergy

  9. Integration of Demand Side Management, Distributed Generation, Renewable

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on OpeneiAlbanian Centre forBibliography of

  10. Network-Driven Demand Side Management Website | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII Jump to: navigation,National MarineUSAID Climate Activities JumpNestle

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

    E-Print Network [OSTI]

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

    2006-01-01

    energy efficiency, peak load management and demand response.minimization); peak load management (for daily operations);Energy Efficiency, Daily Load Management and DR Demand-Side

  12. A hybrid inventory management system respondingto regular demand and surge demand

    SciTech Connect (OSTI)

    Mohammad S. Roni; Mingzhou Jin; Sandra D. Eksioglu

    2014-06-01

    This paper proposes a hybrid policy for a stochastic inventory system facing regular demand and surge demand. The combination of two different demand patterns can be observed in many areas, such as healthcare inventory and humanitarian supply chain management. The surge demand has a lower arrival rate but higher demand volume per arrival. The solution approach proposed in this paper incorporates the level crossing method and mixed integer programming technique to optimize the hybrid inventory policy with both regular orders and emergency orders. The level crossing method is applied to obtain the equilibrium distributions of inventory levels under a given policy. The model is further transformed into a mixed integer program to identify an optimal hybrid policy. A sensitivity analysis is conducted to investigate the impact of parameters on the optimal inventory policy and minimum cost. Numerical results clearly show the benefit of using the proposed hybrid inventory model. The model and solution approach could help healthcare providers or humanitarian logistics providers in managing their emergency supplies in responding to surge demands.

  13. A Market-Based Mechanism for Providing Demand-Side Regulation Service Ioannis Ch. Paschalidis, Binbin Li, Michael C. Caramanis

    E-Print Network [OSTI]

    Caramanis, Michael

    A Market-Based Mechanism for Providing Demand-Side Regulation Service Reserves Ioannis Ch a building Smart Microgrid Operator (SMO) to offer regulation service reserves and meet the associated utility. We study an asymptotic regime in which this upper bound is tight and the static policy provides

  14. The importance of food demand management for climate mitigation

    E-Print Network [OSTI]

    Bajželj, Bojana; Richards, Keith S.; Allwood, Julian M.; Smith, Pete; Dennis, John S.; Curmi, Elizabeth; Gilligan, Christopher A.

    2014-08-31

    , Cambridge, CB2 1PZ, UK b Department of Geography, University of Cambridge, Cambridge, CB2 3EN, UK c Scottish Food Security Alliance-Crops and Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, AB24 3UU, UK d... the average consumption of sugar, oil, meat and dairy is limited according to expert health recommendations 37-40 . Scenarios Yields Demand-side reductions Current trends in yields Yield gap closures (sustainable intensification) 50% Food waste...

  15. Side-payment profitability and interacting eyeball ISPs under convex demand-response modeling congestion-sensitive applications

    E-Print Network [OSTI]

    Kesidis, George

    2011-01-01

    This paper is concerned with the issue of side payments between content providers (CPs) and Internet service (access bandwidth) providers (ISPs) in an Internet that is potentially not neutral. We herein generalize past results modeling the ISP and CP interaction as a noncooperative game in two directions. We consider different demand response models (price sensitivities) for different provider types in order to explore when side payments are profitable to the ISP. Also, we consider convex (non-linear) demand response to model demand triggered by traffic which is sensitive to access bandwidth congestion, particularly delay-sensitive interactive real-time applications. Finally, we consider a model with two competing "eyeball" ISPs with transit pricing of net traffic at their peering point to study the effects of caching remote content.

  16. Demand and Production Management with Uniform Guaranteed Lead Time

    E-Print Network [OSTI]

    Swaminathan, Jayashankar M.

    Demand and Production Management with Uniform Guaranteed Lead Time Uday S. Rao Jayashankar M Recently, innovation-oriented firms have been competing along dimensions other than price - lead time being one such dimension. Increasingly, customers are favoring lead time guarantees as a means to hedge

  17. Using Utility Information to Calibrate Customer Demand Management Behavior Models

    E-Print Network [OSTI]

    Using Utility Information to Calibrate Customer Demand Management Behavior Models Murat Fahrio ­ Madison Report PSerc 99­06 June 10, 1999 Abstract In times of stress customers can help a utility by means be optimized if the utility can estimate the outage or substitution costs of its customers. This report

  18. Beyond Leaks: Demand-side Strategies for Improving Compressed Air Efficiency 

    E-Print Network [OSTI]

    Howe, B.; Scales, B.

    1997-01-01

    stream_source_info ESL-IE-97-04-27.pdf.txt stream_content_type text/plain stream_size 18135 Content-Encoding ISO-8859-1 stream_name ESL-IE-97-04-27.pdf.txt Content-Type text/plain; charset=ISO-8859-1 Beyond Leaks: Demand.... Adding sensors to detect when compressed air is required, and then automating how the compressed air is applied, can dramatically reduce both compressed air use and peak demand. COMPRESSED AIR DELIVERY AND CONTROL How compressed air is delivered...

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

    E-Print Network [OSTI]

    Pedram, Massoud

    consumption-dependent pricing function for electricity consumption. Exact solutions (based on Branch and Bound to avoid blackouts. At the same time, the electrical power consumption is rising rapidly. Without a major growth in electrical energy consumption under worst- case demand conditions [1]. To avoid expending

  20. Linking Continuous Energy Management and Open Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01

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

  1. TRANSPORTATION DEMAND MANAGEMENT UNIVERSITY OF BRITISH COLUMBIA (UBC) U-PASS

    E-Print Network [OSTI]

    TRANSPORTATION DEMAND MANAGEMENT ­ UNIVERSITY OF BRITISH COLUMBIA (UBC) U-PASS ­ A CASE STUDY demand management: an overview ...............................14 1.4 Traffic dynamics in Vancouver residential areas ..............92 5.0 Analysis

  2. The Summer of 2006: A Milestone in the Ongoing Maturation of Demand Response

    E-Print Network [OSTI]

    Hopper, Nicole; Goldman, Charles; Bharvirkar, Ranjit; Engel, Dan

    2007-01-01

    presentation to Peak Load Management Alliance Fall Meeting,Midwest ISO 2006 Load Management Response Survey Summary,appeals, demand-side management, utility load conservation,

  3. Demand Response and Peak Load Management; Programs, Products and Technology 

    E-Print Network [OSTI]

    Barth, A.

    2015-01-01

    Management: Programs, Products, and Technology IETC 2015 ESL-IE-15-06-13 Proceedings of the Thrity-Seventh Industrial Energy Technology Conference New Orleans, LA. June 2-4, 2015 2Supply & Demand Power Demand Grid Stability Reliability Risk Price Availability... ESL-IE-15-06-13 Proceedings of the Thrity-Seventh Industrial Energy Technology Conference New Orleans, LA. June 2-4, 2015 What Should We Expect? 0 1000 2000 3000 4000 5000 6000 2 0 1 1 2 0 1 2 2 0 1 3 2 0 1 4 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0...

  4. Models and Solution Approaches for Emergency Response Network Design Integrating Supply and Demand Sides 

    E-Print Network [OSTI]

    Dalal, Jyotirmoy

    2014-12-02

    . Our model captures the trade-offs between system cost and critical time to start relief distribution, and can aid an emergency manager in strategic decision making under various uncertainties. Our third study combines the stochastic and robust...

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

    SciTech Connect (OSTI)

    2012-02-11

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

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

    E-Print Network [OSTI]

    Boutaba, Raouf

    Comfort-Aware Home Energy Management Under Market-Based Demand-Response Jin Xiao, Jian Li, Raouf-compatible with market-based Demand-Response programs under explicit user comfort constraints. Theoretical analysis aside pricing and consumption data in South Korea. Index Terms--smart grid, demand-response, energy management I

  7. A Multi-Resolution Large Population Game Framework for Smart Grid Demand Response Management

    E-Print Network [OSTI]

    Boyer, Edmond

    A Multi-Resolution Large Population Game Framework for Smart Grid Demand Response Management Quanyan Zhu and Tamer Bas¸ar Abstract--Dynamic demand response (DR) management is becoming an integral, active operation, and efficient demand response. A reliable and efficient communication and networking

  8. A DISTRIBUTED INTELLIGENT AUTOMATED DEMAND RESPONSE BUILDING MANAGEMENT SYSTEM

    SciTech Connect (OSTI)

    Auslander, David; Culler, David; Wright, Paul; Lu, Yan; Piette, Mary

    2013-12-30

    The goal of the 2.5 year Distributed Intelligent Automated Demand Response (DIADR) project was to reduce peak electricity load of Sutardja Dai Hall at UC Berkeley by 30% while maintaining a healthy, comfortable, and productive environment for the occupants. We sought to bring together both central and distributed control to provide “deep” demand response1 at the appliance level of the building as well as typical lighting and HVAC applications. This project brought together Siemens Corporate Research and Siemens Building Technology (the building has a Siemens Apogee Building Automation System (BAS)), Lawrence Berkeley National Laboratory (leveraging their Open Automated Demand Response (openADR), Auto-­Demand Response, and building modeling expertise), and UC Berkeley (related demand response research including distributed wireless control, and grid-­to-­building gateway development). Sutardja Dai Hall houses the Center for Information Technology Research in the Interest of Society (CITRIS), which fosters collaboration among industry and faculty and students of four UC campuses (Berkeley, Davis, Merced, and Santa Cruz). The 141,000 square foot building, occupied in 2009, includes typical office spaces and a nanofabrication laboratory. Heating is provided by a district heating system (steam from campus as a byproduct of the campus cogeneration plant); cooling is provided by one of two chillers: a more typical electric centrifugal compressor chiller designed for the cool months (Nov-­ March) and a steam absorption chiller for use in the warm months (April-­October). Lighting in the open office areas is provided by direct-­indirect luminaries with Building Management System-­based scheduling for open areas, and occupancy sensors for private office areas. For the purposes of this project, we focused on the office portion of the building. Annual energy consumption is approximately 8053 MWh; the office portion is estimated as 1924 MWh. The maximum peak load during the study period was 1175 kW. Several new tools facilitated this work, such as the Smart Energy Box, the distributed load controller or Energy Information Gateway, the web-­based DR controller (dubbed the Central Load-­Shed Coordinator or CLSC), and the Demand Response Capacity Assessment & Operation Assistance Tool (DRCAOT). In addition, an innovative data aggregator called sMAP (simple Measurement and Actuation Profile) allowed data from different sources collected in a compact form and facilitated detailed analysis of the building systems operation. A smart phone application (RAP or Rapid Audit Protocol) facilitated an inventory of the building’s plug loads. Carbon dioxide sensors located in conference rooms and classrooms allowed demand controlled ventilation. The extensive submetering and nimble access to this data provided great insight into the details of the building operation as well as quick diagnostics and analyses of tests. For example, students discovered a short-­cycling chiller, a stuck damper, and a leaking cooling coil in the first field tests. For our final field tests, we were able to see how each zone was affected by the DR strategies (e.g., the offices on the 7th floor grew very warm quickly) and fine-­tune the strategies accordingly.

  9. Museum-on-Demand: Dynamic management of resources

    E-Print Network [OSTI]

    Celentano, Augusto

    A DEMAND-DRIVEN APPROACH FOR EFFICIENT INTERPROCEDURAL DATA FLOW ANALYSIS by Evelyn Duesterwald M Duesterwald 1996 ii #12;A DEMAND-DRIVEN APPROACH FOR EFFICIENT INTERPROCEDURAL DATA FLOW ANALYSIS Evelyn to interprocedural data ow analysis that is demand-driven rather than exhaus- tive. Demand-driven analysis reduces

  10. Price-responsive demand management for a smart grid world

    SciTech Connect (OSTI)

    Chao, Hung-po

    2010-01-15

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

  11. Optimal Demand Response Based on Utility Maximization in Power Networks

    E-Print Network [OSTI]

    Low, Steven H.

    -- Demand side management will be a key component of future smart grid that can help reduce peak load interesting properties of the proposed scheme. I. INTRODUCTION Demand side management will be a key componentOptimal Demand Response Based on Utility Maximization in Power Networks Na Li, Lijun Chen

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

    electricity. In this manner, demand side management is directly integrated into the wholesale capacity marketcapacity market U.S. Federal Energy Regulatory Commission Florida Reliability Coordinating Council incremental auctions independent electricity

  13. Linking Continuous Energy Management and Open Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01

    Linking Continuous Energy Management and Open AutomatedKeywords: Continuous Energy Management, Automated Demandlinking continuous energy management and continuous

  14. Abstract--This paper formulates and develops a peak demand control tool for electric systems within the framework of direct

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

    techniques. Index Terms--Demand Side Management, direct load control, peak demand control, genetic algorithms in order to evaluate the suitability of the decision chosen. Demand Side Management (DSM) plans attempt of application has been developed in the field of demand management; however, the high energy consumption growth

  15. Pacific Northwest Demand Response Project Lee Hall, BPA Smart Grid Program Manager

    E-Print Network [OSTI]

    Pacific Northwest Demand Response Project Lee Hall, BPA Smart Grid Program Manager February 14 utilities to invest in DR Regional situational analysis ­ issues to address #12;Nationally ­ Demand ResponseSource: FERC Demand Response & Advanced Metering Report, February 2011 Peak DR 65,000 MW 1,062 MW Peak DR

  16. FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS

    E-Print Network [OSTI]

    Keller, Arturo A.

    Winter (November - April) water demand Developed by Limaye et al. 1993 Residential water demand ­ f {PPHFORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS by Bruce Bishop Professor of Civil resources resulting in water stress. Effective water management ­ a solution Supply side management Demand

  17. Linking Continuous Energy Management and Open Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01

    efficiency, daily peak load management, and DR [2 & 3]. Thisbuilding electric load management concepts and faster scale

  18. Management of Power Demand through Operations of Building Systems 

    E-Print Network [OSTI]

    ElSherbini, A. I.; Maheshwari, G.; Al-Naqib, D.; Al-Mulla, A.

    2009-01-01

    In hot summers, the demand for electrical power is dominated by the requirements of the air-conditioning and lighting systems. Such systems account for more than 80% of the peak electrical demand in Kuwait. A study was conducted to explore...

  19. Inventory Management of Perishable Goods under Demand Variability 

    E-Print Network [OSTI]

    Ayoub, Wisam Hanna

    2013-08-01

    science and economic parameters examining the impacts of different demand specifications on the cost minimization and profit maximization problem of fluid milk. The square root model from the food science literature is used to estimate the shelf...

  20. Control and Optimization Meet the Smart Power Grid - Scheduling of Power Demands for Optimal Energy Management

    E-Print Network [OSTI]

    Koutsopoulos, Iordanis

    2010-01-01

    The smart power grid aims at harnessing information and communication technologies to enhance reliability and enforce sensible use of energy. Its realization is geared by the fundamental goal of effective management of demand load. In this work, we envision a scenario with real-time communication between the operator and consumers. The grid operator controller receives requests for power demands from consumers, with different power requirement, duration, and a deadline by which it is to be completed. The objective is to devise a power demand task scheduling policy that minimizes the grid operational cost over a time horizon. The operational cost is a convex function of instantaneous power consumption and reflects the fact that each additional unit of power needed to serve demands is more expensive as demand load increases.First, we study the off-line demand scheduling problem, where parameters are fixed and known. Next, we devise a stochastic model for the case when demands are generated continually and sched...

  1. Intelligent Building Automation: A Demand Response Management Perspective 

    E-Print Network [OSTI]

    Qazi, T.

    2010-01-01

    ? Would it be more effective if the consumer were to be part of the efficiency process? What about if the energy savings could be passed on to the consumer directly depending on how efficient he was? Demand response is a mechanism by which consumers change...

  2. Managing Plug-Loads for Demand Response within Buildings Thomas Weng, Bharathan Balaji, Seemanta Dutta, Rajesh Gupta, Yuvraj Agarwal

    E-Print Network [OSTI]

    Gupta, Rajesh

    Managing Plug-Loads for Demand Response within Buildings Thomas Weng, Bharathan Balaji, Seemanta managers can per- form active energy management, especially during demand response situations that require, allowing them to deal with demand response situations through user- specified actuation policies. At its

  3. Improving transit demand management with Smart Card data : general framework and applications

    E-Print Network [OSTI]

    Halvorsen, Anne (Anne Fire)

    2015-01-01

    Increases in ridership are outpacing capacity expansions in a number of transit systems. By shifting their focus to demand management, agencies can instead influence how customers use the system, getting more out of the ...

  4. Demand-Side and Supply-Side Load Management: Optimizing with Thermal Energy Storage (TES) for the Restructuring Energy Marketplace 

    E-Print Network [OSTI]

    Andrepont, J. S.

    2002-01-01

    as an economical, peaking power enhancement for either peaking or base-load plants. 1t is applied to both new and existing CTs. TES is projected to have even greater value in future restructuring energy markets. INTRODUCTION AND BACKGROUND The current... totaling several millions of dollars (4,6). TES-based CTIC is advantageous as an economical, peaking power enhancement for either peaking or base-load plants. It is applied to both new and existing CTs. CONCLUSIONS AND RECOMMENDAnONS TES already...

  5. Managing water demand as a regulated open MAS. (Work in progress)

    E-Print Network [OSTI]

    Garrido, Antonio

    1 Managing water demand as a regulated open MAS. (Work in progress) Vicente Botti 1 , Antonio Scientific Research Council, {vbotti,agarridot,agiret}@dsic.upv.es, pablo@iiia.csic.es I. WATER MANAGEMENT of water policy is the need to foster a more rational use of the resource and this may be addressed

  6. Managing water demand as a regulated open MAS. (Work in progress)

    E-Print Network [OSTI]

    Garrido, Antonio

    1 Managing water demand as a regulated open MAS. (Work in progress) Vicente Botti1 , Antonio Scientific Research Council, {vbotti,agarridot,agiret}@dsic.upv.es, pablo@iiia.csic.es I. WATER MANAGEMENT of water policy is the need to foster a more rational use of the resource and this may be addressed

  7. Scalable, Secure Energy Information Management for Demand-Response Analysis Yogesh Simmhan1,2

    E-Print Network [OSTI]

    Hwang, Kai

    Scalable, Secure Energy Information Management for Demand-Response Analysis Yogesh Simmhan1 and optimize energy usage to meet sustainability goals. Managing the energy information lifecycle ­ from, feedback, and query/response interactions, which are transmitted across a widely distributed infrastructure

  8. Discriminating between west-side sources of nutrients and organiccarbon contributing to algal growth and oxygen demand in the San JoaquinRiver

    SciTech Connect (OSTI)

    Wstringfellow@lbl.gov

    2002-07-24

    The purpose of this study was to investigate the Salt and Mud Slough tributaries as sources of oxygen demanding materials entering the San Joaquin River (SJR). Mud Slough and Salt Slough are the main drainage arteries of the Grasslands Watershed, a 370,000-acre area west of the SJR, covering portions of Merced and Fresno Counties. Although these tributaries of the SJR are typically classified as agricultural, they are also heavily influenced by Federal, State and private wetlands. The majority of the surface water used for both irrigation and wetland management in the Grassland Watershed is imported from the Sacramento-San Joaquin Delta through the Delta-Mendota Canal. In this study, they measured algal biomass (as chlorophyll a), organic carbon, ammonia, biochemical oxygen demand (BOD), and other measures of water quality in drainage from both agricultural and wetland sources at key points in the Salt Slough and Mud Slough tributaries. This report includes the data collected between June 16th and October 4th, 2001. The objective of the study was to compare agricultural and wetland drainage in the Grasslands Watershed and to determine the relative importance of each return flow source to the concentration and mass loading of oxygen demanding materials entering the SJR. Additionally, they compared the quality of water exiting our study area to water entering our study area. This study has demonstrated that Salt and Mud Sloughs both contribute significant amounts of oxygen demand to the SJR. Together, these tributaries could account for 35% of the oxygen demand observed below their confluence with the SJR. This study has characterized the sources of oxygen demanding materials entering Mud Slough and evaluated the oxygen demand conditions in Salt Slough. Salt Slough was found to be the dominant source of oxygen demand load in the study area, because of the higher flows in this tributary. The origins of oxygen demand in Salt Slough still remain largely uninvestigated and the seasonal oxygen demand loading pattern remains unexplained. An expanded investigation of the Salt Slough watershed is warranted, because of the importance of this watershed to the oxygen demand load entering the SJR.

  9. Enterprise control assessment for the mitigation of renewable energy by demand side management

    E-Print Network [OSTI]

    Jiang, Bo, S.M. Massachusetts Institute of Technology

    2015-01-01

    The traditional power grid paradigm of centralized and actively controlled power generation facilities serving distributed and passively controlled electrical loads is challenged by the requirements for decarbonization, ...

  10. Demand-side Management Strategies and the Residential Sector: Lessons from International Experience

    E-Print Network [OSTI]

    Haney, Aoife Brophy; Jamasb, Tooraj; Platchkov, Laura M.; Pollitt, Michael G.

    annual GHG emissions, and 40% of all energy consumption (UNEP, 2009). Furthermore, there is wide evidence of the cost- effectiveness of energy efficiency measures as compared to renewable programmes (IEA, 2006). In parallel, load growth; increased... of International Energy Agency (IEA) publications have also looked at energy use trends (IEA, 2007; IEA, 2008); reviewed the implementation of energy efficiencies policies in general (IEA, 2009b); and in the residential sector in particular (IEA, 2008...

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

    E-Print Network [OSTI]

    Harper, Meg

    2014-01-01

    gasification, solar, wind, diesel generators, or a hybrideither solar or solar-wind-diesel hybrid mini-grids. Thoughor diesel-hybrid mini-grids, but could be effective on wind

  12. Load-side Demand Management in Buildings using Controlled Electric Springs

    E-Print Network [OSTI]

    Soni, Jayantika; Krishnanand, KR; Panda, Sanjib

    2014-01-01

    voltage instability in renewable energy powered microgrids.Feb). Clean and renewable energy. Available: www.ema.gov.sg/federal government to 20% renewable energy target by 2020.

  13. Load-side Demand Management in Buildings using Controlled Electric Springs

    E-Print Network [OSTI]

    Soni, Jayantika; Krishnanand, KR; Panda, Sanjib

    2014-01-01

    renewable energy powered microgrids. It is illustrated, inenergy source powered microgrids. Electric Spring, a smartproblem associated with such microgrids. In this paper, an

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

    E-Print Network [OSTI]

    Gates, G. G.

    1997-01-01

    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... and upgrading of facilities in general. It should be remembered that a considerable number of Navy facilities were built during WWII. Not only lighting, but all types of HVAC are upgraded. Water projects are also accomplished. Concurrently, while designing...

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

    E-Print Network [OSTI]

    Harper, Meg

    2014-01-01

    micro-hydro, biomass, or diesel-hybrid mini-grids, but couldhybrid mini- grids. On a PV-diesel hybrid mini-grid in ruralsolar or solar-wind-diesel hybrid mini-grids. Though most

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

    E-Print Network [OSTI]

    Harper, Meg

    2014-01-01

    conjunction with a solar-diesel hybrid mini- grid in Monteeither solar or solar-wind-diesel hybrid mini-grids. Thoughgasification, solar, wind, diesel generators, or a hybrid

  17. Multi-scale Demand-Side Management for Continuous Power-intensive Processes

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    , with an emphasis on price responsive programs", CRA No. D06090, Technical report, The World Bank. Electricity (time-intensive industries for electricity markets in Germany. Applied Energy, 88:432­441, 2011. Industrial DSM decreased Stochastic Operational Strategic (design)Single plant Robust schedules w.r.t. electricity prices - FOCAPO

  18. Distributed Demand-Side Management in Smart Grid: how Imitation improves Power Scheduling

    E-Print Network [OSTI]

    proportional to the cost difference between the actual and cheapest schedules of the previous iteration. We. Similarly, DSM systems can also be employed to mitigate other issues related to electric grids in the literature, aiming at controlling the electric loads of groups of collaborative customers [3], [4]. However

  19. Distributed generation and demand side management : applications to transmission system operation 

    E-Print Network [OSTI]

    Hayes, Barry Patrick

    2013-07-01

    Electricity networks are undergoing a period of rapid change and transformation, with increased penetration levels of renewable-based distributed generation, and new influences on electricity end-use patterns from ...

  20. South Korea-ANL Distributed Energy Resources and Demand Side Management |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc JumpHeter BatterySolarfin Jump to:SolkarSectorCompanyInformation

  1. Electric Utility Demand-Side Management IT EJA Data News: EIA Statistics on

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets 9,Why Report VoluntaryEffectsE Data News:

  2. Climate control : smart thermostats, demand response, and energy efficiency in Austin, Texas

    E-Print Network [OSTI]

    Bowen, Brian (Brian Richard)

    2015-01-01

    Energy efficiency and demand response are critical resources for the transition to a cleaner electricity grid. Demand-side management programs can reduce electricity use during peak times when power is scarce and expensive, ...

  3. Joint Supply, Demand, and Energy Storage Management Towards Microgrid Cost Minimization

    E-Print Network [OSTI]

    Liang, Ben

    Joint Supply, Demand, and Energy Storage Management Towards Microgrid Cost Minimization Sun Sun balancing in a grid- connected microgrid is studied. We consider a microgrid pow- ered by a conventional) unit. An aggregator operates the microgrid and aims to minimize the long-term system cost, including

  4. A Supply-Demand Model Based Scalable Energy Management System for Improved Energy

    E-Print Network [OSTI]

    Bhunia, Swarup

    A Supply-Demand Model Based Scalable Energy Management System for Improved Energy Utilization: sxn124@case.edu Abstract-Harvesting energy from the environment can play an important role in reducing the dependency of an electronic system to primary energy sources (i.e. AC power or battery). For reliable

  5. DEMAND MANAGEMENT FOR HOME ENERGY NETWORKS USING COST-OPTIMAL APPLIANCE SCHEDULING

    E-Print Network [OSTI]

    Rakocevic, Veselin

    , Madrid, Spain veselin.rakocevic.1@city.ac.uk Keywords: Smart Homes, Optimization for Efficient Energy Consumption, Energy Profiling and Measurement, Energy Demand Management, Economic Models of Energy Efficiency. For energy providers, the greatest remaining challenges lie in: (1) development of intelligent resource

  6. A mathematical model and descent algorithm for bilevel traffic management

    E-Print Network [OSTI]

    Patriksson, Michael

    demands, the possible presence of side constraints in the traff* *ic equilibrium system in cities with the immediate side effect of an incr* *ease in traffic demand. A functioning society depends traffic management Michael Patriksson* and R. Tyrrell Rockafellary

  7. Value of Demand Response -Introduction Klaus Skytte

    E-Print Network [OSTI]

    -of-supply and DR 15 minutes DaysHoursSeconds Adjustments of planned production Prognosis errors Excess capacity in demand to prices. Similar to Least-cost planning and demand-side management. DR differs by using prices: Curtailment of load, Direct load control, e.g. central control of electric comfort heating. Reservation prices

  8. Risk Management and Combinatorial Optimization for Large-Scale Demand Response and Renewable Energy Integration

    E-Print Network [OSTI]

    Yang, Insoon

    2015-01-01

    results: demand response . . . . . . . . . . . . . . . . . .Institute. “Automated Demand Response Today”. In: (2012). [Energy. “Benefits of demand response in electricity markets

  9. Demand Response Spinning Reserve Demonstration

    SciTech Connect (OSTI)

    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.

    2007-05-01

    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.

  10. 1 SIDE CONSTRAINED TRAFFIC EQUILIBRIUM MODELS---TRAFFIC

    E-Print Network [OSTI]

    Patriksson, Michael

    i #12; #12; 1 SIDE CONSTRAINED TRAFFIC EQUILIBRIUM MODELS---TRAFFIC MANAGEMENT THROUGH LINK TOLLS in the inelastic demand case; this fact enables the traffic manager to choose a toll scheme which satisfies flow restrictions as side constraints. The set of toll prices obtained is not necessarily unique

  11. Risk Management and Combinatorial Optimization for Large-Scale Demand Response and Renewable Energy Integration

    E-Print Network [OSTI]

    Yang, Insoon

    2015-01-01

    Demand Response and Renewable Energy Integration by InsoonDemand Response and Renewable Energy Integration CopyrightDemand Response and Renewable Energy Integration by Insoon

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

    SciTech Connect (OSTI)

    Chassin, David P.; Donnelly, Matthew K.; Dagle, Jeffery E.

    2011-12-06

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

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

    DOE Patents [OSTI]

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

    2006-12-12

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

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

    SciTech Connect (OSTI)

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

    2003-04-18

    Energy Information Systems (EIS) for buildings are becoming widespread in the U.S., with more companies offering EIS products every year. As a result, customers are often overwhelmed by the quickly expanding portfolio of EIS feature and application options, which have not been clearly identified for consumers. The object of this report is to provide a technical overview of currently available EIS products. In particular, this report focuses on web-based EIS products for large commercial buildings, which allow data access and control capabilities over the Internet. EIS products combine software, data acquisition hardware, and communication systems to collect, analyze and display building information to aid commercial building energy managers, facility managers, financial managers and electric utilities in reducing energy use and costs in buildings. Data types commonly processed by EIS include energy consumption data; building characteristics; building system data, such as heating, ventilation, and air-conditioning (HVAC) and lighting data; weather data; energy price signals; and energy demand-response event information. This project involved an extensive review of research and trade literature to understand the motivation for EIS technology development. This study also gathered information on currently commercialized EIS. This review is not an exhaustive analysis of all EIS products; rather, it is a technical framework and review of current products on the market. This report summarizes key features available in today's EIS, along with a categorization framework to understand the relationship between EIS, Energy Management and Control Systems (EMCSs), and similar technologies. Four EIS types are described: Basic Energy Information Systems (Basic-EIS); Demand Response Systems (DRS); Enterprise Energy Management (EEM); and Web-based Energy Management and Control Systems (Web-EMCS). Within the context of these four categories, the following characteristics of EIS are discussed: Metering and Connectivity; Visualization and Analysis Features; Demand Response Features; and Remote Control Features. This report also describes the following technologies and the potential benefits of incorporating them into future EIS products: Benchmarking; Load Shape Analysis; Fault Detection and Diagnostics; and Savings Analysis.

  15. A Comprehensive Contribution Factor Method for Congestion Management

    E-Print Network [OSTI]

    for congestion management by using network, generator and load contribution information. When congestion occurs be combined with demand side (load) management to solve the congestion. The congestion management scheme generator re-dispatching alone or combined with demand side management due to the availability of load

  16. A Cumulative Energy Demand indicator (CED), life cycle based, for industrial waste management decision making

    SciTech Connect (OSTI)

    Puig, Rita, E-mail: rita.puig@eei.upc.edu [Escola d’Enginyeria d’Igualada (EEI), Universitat Politčcnica de Catalunya (UPC), Plaça del Rei, 15, 08700 Igualada (Spain); Fullana-i-Palmer, Pere [UNESCO Chair in Life Cycle and Climate Change, Escola Superior de Comerç Internacional, Universitat Pompeu Fabra (UPF), c/Passeig Pujades, 1, 08003 Barcelona (Spain); Baquero, Grau; Riba, Jordi-Roger [Escola d’Enginyeria d’Igualada (EEI), Universitat Politčcnica de Catalunya (UPC), Plaça del Rei, 15, 08700 Igualada (Spain); Bala, Alba [UNESCO Chair in Life Cycle and Climate Change, Escola Superior de Comerç Internacional, Universitat Pompeu Fabra (UPF), c/Passeig Pujades, 1, 08003 Barcelona (Spain)

    2013-12-15

    Highlights: • We developed a methodology useful to environmentally compare industrial waste management options. • The methodology uses a Net Energy Demand indicator which is life cycle based. • The method was simplified to be widely used, thus avoiding cost driven decisions. • This methodology is useful for governments to promote the best environmental options. • This methodology can be widely used by other countries or regions around the world. - Abstract: Life cycle thinking is a good approach to be used for environmental decision-support, although the complexity of the Life Cycle Assessment (LCA) studies sometimes prevents their wide use. The purpose of this paper is to show how LCA methodology can be simplified to be more useful for certain applications. In order to improve waste management in Catalonia (Spain), a Cumulative Energy Demand indicator (LCA-based) has been used to obtain four mathematical models to help the government in the decision of preventing or allowing a specific waste from going out of the borders. The conceptual equations and all the subsequent developments and assumptions made to obtain the simplified models are presented. One of the four models is discussed in detail, presenting the final simplified equation to be subsequently used by the government in decision making. The resulting model has been found to be scientifically robust, simple to implement and, above all, fulfilling its purpose: the limitation of waste transport out of Catalonia unless the waste recovery operations are significantly better and justify this transport.

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

    DECC aggregator managed portfolio automated demand responseaggregator designs their own programs, and offers demand responseaggregator is responsible for designing and implementing their own demand response

  18. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 31, NO. 7, JULY 2013 1 Demand Response Management via Real-time

    E-Print Network [OSTI]

    Huang, Jianwei

    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 31, NO. 7, JULY 2013 1 Demand Response through demand response management in smart grid systems. The proposed scheme solves a two. Index Terms--Real-time pricing, Demand response manage- ment, Payoff maximization, Profit maximization

  19. There are n applicants of similar qualification on an interview list. Their salary demands are from a known distribution. Two managers, I and II, will interview them

    E-Print Network [OSTI]

    Chen, Robert W.

    There are n applicants of similar qualification on an interview list. Their salary demands are from the first n \\Gamma 2 applicants and manager I wants to hire applicant n. Even though their salary demands demands less salary than the one hired by manager II does is maximized ? 2. What is the optimal strategy

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

    E-Print Network [OSTI]

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

    1986-01-01

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

  1. Power Strip Packing of Malleable Demands in Mohammad M. Karbasioun, Gennady Shaikhet, Evangelos Kranakis, Ioannis Lambadaris

    E-Print Network [OSTI]

    Kranakis, Evangelos

    of the main goals of Demand Side Management (DSM) in smart grid is to reduce the peak to average ratio (PAR1 Power Strip Packing of Malleable Demands in Smart Grid Mohammad M. Karbasioun, Gennady Shaikhet of electrical energy which has to be supplied during the time interval [0, 1]. We assume that each demand has

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

    E-Print Network [OSTI]

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

    2003-01-01

    Energy Management .William R. , 2002. “Energy Management – The Last UntamedOlin, 2002. “Enterprise Energy Management Software - The Key

  3. Data Management in Real-Time Systems: a Case of On-Demand Updates in Vehicle Control Systems

    E-Print Network [OSTI]

    Data Management in Real-Time Systems: a Case of On-Demand Updates in Vehicle Control Systems Thomas option (ODKB) [4] -- decide on necessary updates based on the order data items are read, i.e., bottom and freshness of data they use. At the same time it is important that the re- sources are utilized as efficient

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

    E-Print Network [OSTI]

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

    2003-01-01

    also known as EMS (Energy Management Systems), BMS (Buildingfacility operator or energy management systems, often wastefor enterprise energy management systems that typically are

  5. International Energy Agency Implementing Agreements and Annexes: A Guide for Building Technologies Program Managers

    E-Print Network [OSTI]

    Evans, Meredydd

    2008-01-01

    Demand-Side Management, District Heating & Cooling, and Heatbuildings. However, the District Heating and Cooling IA hassystems as part of district heating networks. SHC Tasks 38A

  6. Energy Conservation Through Demand-Side Management (DSM): A Methodology to Characterize Energy Use Among commercial Market Segments 

    E-Print Network [OSTI]

    Grosskopf, K. R.; Oppenheim, P.; Barclay, D

    2007-01-01

    the need for costly capacity expansion and wholesale power purchasing, especially if energy reductions occur during peak loading conditions. Energy reductions may also lessen global climate change and reduce many other consequences of fossil-fuel energy...

  7. Optimal Allocation of Inventory and Demand for Managing Supply Chain Revenues 

    E-Print Network [OSTI]

    Katariya, Abhilasha

    2013-11-27

    This dissertation focuses on three distinct yet related problems that are motivated by practices of electronics manufacturers, who satisfy stochastic demand from multiple markets and multisource parts from several suppliers. The first problem...

  8. Pipe dream : why Utah's water managers continue to prioritize supply-side solutions

    E-Print Network [OSTI]

    Schaefer, Chloe

    2015-01-01

    More than 150 years ago, the Mormon pioneers entered the Salt Lake Valley and immediately set to work digging irrigation ditches and canals to harness what water there was for their farms. Since then, Utah water managers ...

  9. Providing Interactive Functions for Staggered Multicast Near VideoOnDemand Systems

    E-Print Network [OSTI]

    Fei, Zongming

    Providing Interactive Functions for Staggered Multicast Near Video­On­Demand Systems (Extended In this paper we propose a scheme to provide inter­ active functions through active buffer management at the client side for staggered multicast near VOD sys­ tems. The scheme uses client side buffering in a novel

  10. Demand Response Design based on a Stackelberg Game in Smart Grid

    E-Print Network [OSTI]

    Bahk, Saewoong

    of a real-time two-way communication system. This is called demand-side management (DSM) [2]. Among DSMDemand Response Design based on a Stackelberg Game in Smart Grid Sung-Guk Yoon, Young-June Choi- time demand response can be applied. A smart grid network consisting of one retailer and many customers

  11. Bottom-Up Self-Organization of Unpredictable Demand and Supply under Decentralized Power Management

    E-Print Network [OSTI]

    Wedde, Horst F.

    level of granularity, with short-term power balance fluctuation, in terms of a peak demand and supply, distributed power production at lower voltage levels (through wind turbines or solar panels) is considered, as this depends on external environmental conditions (e.g. solar and wind power). In Electrical Engineering

  12. A Comparison of Maintenance Cost, Labor Demands, and System Performance for LID and Conventional Stormwater Management

    E-Print Network [OSTI]

    operations and maintenance. Due to increasing requirements for more effective treatment of runoff examined seven different types of SCMs for the first 2-4 years of operations and studied maintenanceAccepted M anuscript N otC opyedited 1 A Comparison of Maintenance Cost, Labor Demands, and System

  13. The Hartree Centre's on-demand high performance computing (HPC) service, enCORE, managed by channel partners OCF, has enabled

    E-Print Network [OSTI]

    The Hartree Centre's on-demand high performance computing (HPC) service, enCORE, managed by channel that create insights and value using high performance computing, big data analytics, simulation and modelling

  14. The Management of International Rivers as Demands Grow and Supplies Tighten: India, China, Nepal, Pakistan, Bangladesh

    E-Print Network [OSTI]

    Crow, Ben; Singh, Nirvikar

    2009-01-01

    relating to hydroelectricity generation, irrigation water,resources to generate hydroelectricity Managing watershedsFor example, micro-hydroelectricity generation may be an

  15. LEVEL BUNDLE METHODS FOR ORACLES WITH ON-DEMAND ...

    E-Print Network [OSTI]

    2012-11-25

    feasible set is also compact, some of the new on-demand accuracy methods have the same ...... the last right hand side in the inequality above gives ... Lemma 3.5 relies strongly on the bundle management strategy at Step 5, which for the non-.

  16. Load Management Made Simple 

    E-Print Network [OSTI]

    Schneider, K.

    1985-01-01

    Company have moved to a demand side or load management mode which seeks to influence customers to change electric usage patterns to more efficiently use available generating capacity. Since 1970, the TUEC system peak demand has more than doubled from about...

  17. Exponential Communication Ine ciency of Demand Queries

    E-Print Network [OSTI]

    Sandholm, Tuomas W.

    FORECAST COMBINATION IN REVENUE MANAGEMENT DEMAND FORECASTING SILVIA RIEDEL A thesissubmitted Combination in RevenueManagement Demand Forecasting Abstract The domain of multi level forecastcombination

  18. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    Energy Efficiency, Demand Response, and Peak Load Managementdemand response, and load management programs in the Ebefore they undertake load management and demand response

  19. Optimal Real-time Dispatch for Integrated Energy Systems

    E-Print Network [OSTI]

    Firestone, Ryan Michael

    2007-01-01

    xliii Demand Side Management152 Demand Side Managementdemand response demand-side management energy efficiency

  20. Facility Scale Energy Storage for Peak Deman Management and Demand Response 

    E-Print Network [OSTI]

    Remillard, J.

    2015-01-01

    Technology Conference New Orleans, LA. June 2-4, 2015 1. Introduction 2. Definitions and key terminology 3. Facility scale value streams 4. Energy storage technologies 5. Technical and market barriers AGENDA ESL-IE-15-06-12a Proceedings of the Thrity...-Seventh Industrial Energy Technology Conference New Orleans, LA. June 2-4, 2015 ?To ensure power quality and level demand ? For integration of renewable generation Incentives ? NYSERDA and Con Edison ? $2,100/kW for batteries ? PG&E ? $1,620/kW for advanced energy...

  1. Demand-Supply Optimization with Risk Management for a Multi-Connection Water Reservoir Network

    E-Print Network [OSTI]

    Chatpatanasiri, Ratthachat

    2009-01-01

    In this paper, we propose a framework to solve a demand-supply optimization problem of long-term water resource allocation on a multi-connection reservoir network which, in two aspects, is different to the problem considered in previous works. First, while all previous works consider a problem where each reservoir can transfer water to only one fixed reservoir, we consider a multi-connection network being constructed in Thailand in which each reservoir can transfer water to many reservoirs in one period of time. Second, a demand-supply plan considered here is static, in contrast to a dynamic policy considered in previous works. Moreover, in order to efficiently develop a long-term static plan, a severe loss (a risk) is taken into account, i.e. a risk occurs if the real amount of water stored in each reservoir in each time period is less than what planned by the optimizer. The multi-connection function and the risk make the problem rather complex such that traditional stochastic dynamic programming and determi...

  2. Municipal solid waste management: Identification and analysis of engineering indexes representing demand and costs generated in virtuous Italian communities

    SciTech Connect (OSTI)

    Gamberini, R. Del Buono, D.; Lolli, F.; Rimini, B.

    2013-11-15

    Highlights: • Collection and analysis of real life data in the field of Municipal Solid Waste (MSW) generation and costs for management. • Study of 92 virtuous Italian communities. • Elaboration of trends of engineering indexes useful during design and evaluation of MSWM systems. - Abstract: The definition and utilisation of engineering indexes in the field of Municipal Solid Waste Management (MSWM) is an issue of interest for technicians and scientists, which is widely discussed in literature. Specifically, the availability of consolidated engineering indexes is useful when new waste collection services are designed, along with when their performance is evaluated after a warm-up period. However, most published works in the field of MSWM complete their study with an analysis of isolated case studies. Conversely, decision makers require tools for information collection and exchange in order to trace the trends of these engineering indexes in large experiments. In this paper, common engineering indexes are presented and their values analysed in virtuous Italian communities, with the aim of contributing to the creation of a useful database whose data could be used during experiments, by indicating examples of MSWM demand profiles and the costs required to manage them.

  3. Congestion pricing applications to manage high temporal demand for public services and their relevance to air space management

    E-Print Network [OSTI]

    Hoffman, Karla

    carbon emissions, and creating new urban living spaces. We next examine other applications of congestion and their relevance to air space management Karla Hoffman a,n , Frank Berardino b , George Hunter c a George Mason, and peak use of energy resources. The paper ends with a proposal for a two-staged approach

  4. Customer Behavior Modeling in Revenue Management and Auctions: A Review and New Research

    E-Print Network [OSTI]

    Shen, Zuo-Jun "Max"

    practical problems, neglecting these decision processes on the demand side may have significantCustomer Behavior Modeling in Revenue Management and Auctions: A Review and New Research Invited Paper for Production and Operations Management Abstract Customer behavior modeling has been

  5. Chapter 212: Role of Standardization in Technology Development, Transfer, Diffusion and Management

    E-Print Network [OSTI]

    Bagby, John

    . Successful IT standardization exhibits demand side economies of scale. This is a form of bandwagon effectChapter 212: Role of Standardization in Technology Development, Transfer, Diffusion and Management and technology management. Key Words Antitrust; Conformity Assessment; Intellectual Property; Standards

  6. Automated Demand Response Strategies and Commissioning Commercial Building Controls

    E-Print Network [OSTI]

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

    2006-01-01

    efficiency, daily peak load management and demand response.Loads Efficiency, Daily Load Management and Demand ResponseOperations Peak Load Management (Daily) - TOU Savings - Peak

  7. Demand Reduction

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  8. Addressing Energy Demand through Demand Response. International Experiences and Practices

    SciTech Connect (OSTI)

    Shen, Bo; Ghatikar, Girish; Ni, Chun Chun; Dudley, Junqiao; Martin, Phil; Wikler, Greg

    2012-06-01

    Demand response (DR) is a load management tool which provides a cost-effective alternative to traditional supply-side solutions to address the growing demand during times of peak electrical load. According to the US Department of Energy (DOE), demand response reflects “changes in electric usage by end-use customers from their normal consumption patterns in response to changes in the price of electricity over time, or to incentive payments designed to induce lower electricity use at times of high wholesale market prices or when system reliability is jeopardized.” 1 The California Energy Commission (CEC) defines DR as “a reduction in customers’ electricity consumption over a given time interval relative to what would otherwise occur in response to a price signal, other financial incentives, or a reliability signal.” 2 This latter definition is perhaps most reflective of how DR is understood and implemented today in countries such as the US, Canada, and Australia where DR is primarily a dispatchable resource responding to signals from utilities, grid operators, and/or load aggregators (or DR providers).

  9. Management of a high mix production system with interdependent demands : finished goods requirements and raw materials control

    E-Print Network [OSTI]

    Palano, Diego

    2009-01-01

    A product line, characterized by high level of customization, diversification and demand correlation between different finished goods products, requires increased efficiency and effectiveness. The product line, along with ...

  10. Rates and technologies for mass-market demand response

    E-Print Network [OSTI]

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

    2002-01-01

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

  11. Demand Response Opportunities in Industrial Refrigerated Warehouses in California

    E-Print Network [OSTI]

    Goli, Sasank

    2012-01-01

    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).

  12. Results and commissioning issues from an automated demand response pilot

    E-Print Network [OSTI]

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

    2004-01-01

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

  13. REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022

    E-Print Network [OSTI]

    relatively high economic/demographic growth, relatively low electricity and natural gas rates REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 1: Statewide Electricity Demand Bill Junker Manager DEMAND ANALYSIS OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS

  14. CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST

    E-Print Network [OSTI]

    high economic/demographic growth, relatively low electricity and natural gas rates, and relatively low CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST Volume 2: Electricity Demand Manager DEMAND ANALYSIS OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION

  15. CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST

    E-Print Network [OSTI]

    relatively high economic/demographic growth, relatively low electricity and natural gas rates CALIFORNIA ENERGY DEMAND 2014­2024 FINAL FORECAST Volume 1: Statewide Electricity Demand Gough Office Manager DEMAND ANALYSIS OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS

  16. Are domestic load profiles stable over time? An attempt to identify target households for demand

    E-Print Network [OSTI]

    ¨urich, Switzerland Email: beckel@inf.ethz.ch Thorsten Staake Energy Efficient Systems University of Bamberg 96047 Bamberg, Germany Email: thorsten.staake@uni-bamberg.de Abstract--Elaborating demand side management that the whole clustering of the time series, with a few adaptations on the usage of the K-Means algorithm

  17. CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST

    E-Print Network [OSTI]

    /demographic growth, relatively low electricity and natural gas rates, and relatively low efficiency program CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 1: Statewide Electricity Manager Bill Junker Manager DEMAND ANALYSIS OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY

  18. Text and slides of presentation originally presented to the Nova Scotia Utility and Review Board regarding the province's Demand Side Management program,19 April 2010.

    E-Print Network [OSTI]

    Hughes, Larry

    households, heats his home with oil (Nova Scotia Finance 2007). When we discussed the issue of oil sources (APERC 2007, Hughes and Shupe 2010). We now live in an age of rising competition for oil products: China and other emerging market economies are increasing their consumption of oil at breathtaking speed

  19. Balanced Transport and Sustainable Urbanism: Enhancing Mobility and Accessibility through Institutional, Demand Management, and Land-Use Initiatives

    E-Print Network [OSTI]

    Cervero, Robert

    2006-01-01

    Transport and Sustainable Urbanism: Enhancing Mobility andmobility-based” planning, and introduces institutional, administrative, and management techniques, including road pricing, that place Chinese cities on a sustainable

  20. MANAGEMENT SCIENCE Vol. 50, No. 5, May 2004, pp. 686700

    E-Print Network [OSTI]

    Hui, Kai-Lung

    costs (Randall and Ulrich 2001). Second, on the demand side, because the firm sells a menu of similarMANAGEMENT SCIENCE Vol. 50, No. 5, May 2004, pp. 686­700 issn 0025-1909 eissn 1526-5501 04 5005: An Empirical Investigation of Personal Computer Demand Kai-Lung Hui Department of Information Systems, National

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

    E-Print Network [OSTI]

    McKane, Aimee

    2010-01-01

    chain such as daily load management and demand response.more effective load management or a permanent reduction inother actions such as load management and demand response (

  2. Upply Chain Supernetworks with Random Demands

    E-Print Network [OSTI]

    Nagurney, Anna

    Upply Chain Supernetworks with Random Demands June Dong & Ding Zhang School of Business State Warehouses: stocking points Field Warehouses: stocking points Customers, demand centers sinks Production Commerce and Value Chain Management, 1998 Customer Demand Customer Demand Retailer OrdersRetailer Orders

  3. Automatic data for applied railway management : passenger demand, service quality measurement, and tactical planning on the London Overground Network

    E-Print Network [OSTI]

    Frumin, Michael S

    2010-01-01

    The broad goal of this thesis is to demonstrate the potential positive impacts of applying automatic data to the management and tactical planning of a modern urban railway. Tactical planning is taken here to mean the set ...

  4. Demand response enabling technology development

    E-Print Network [OSTI]

    2006-01-01

    Monitoring in an Agent-Based Smart Home, Proceedings of theConference on Smart Homes and Health Telematics, September,Smart Meter Motion sensors Figure 1: Schematic of the Demand Response Electrical Appliance Manager in a Home.

  5. InDemandInDemandInDemand Energize Your Career

    E-Print Network [OSTI]

    Wolberg, George

    InDemandInDemandInDemand Energize Your Career You can join the next generation of workers who in Energy #12;#12;In Demand | 1 No, this isn't a quiz...but if you answered yes to any or all and Training Administration wants you to have this publication, In Demand: Careers in Energy. It will let you

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

    E-Print Network [OSTI]

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

    2008-01-01

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

  7. Opportunities for Demand Response in California Agricultural Irrigation: A Scoping Study

    E-Print Network [OSTI]

    Marks, Gary

    2014-01-01

    Grower Acceptance of Demand Response and Permanent LoadCommission. (n.d. ). Demand Response. Retrieved fromLead Product Manager, Demand Response Department, Pacific

  8. Development and evaluation of fully automated demand response in large facilities

    E-Print Network [OSTI]

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

    2004-01-01

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

  9. Intelligent Building Energy Information and Control Systems for Low-Energy Operations and Optimal Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2014-01-01

    Open  Automated  Demand  Response  Communications from  7 Years of Automated Demand Response in Commercial Management and Demand Response in Commercial  Buildings. , 

  10. VideoonDemandVideoonDemandVideoonDemand Video on Demand Testbed

    E-Print Network [OSTI]

    Eleftheriadis, Alexandros

    VideoonDemandVideoonDemandVideoonDemand Columbia's Video on Demand Testbed and Interoperability Experiment Columbia's Video on Demand Testbed and Interoperability Experiment S.-F. Chang and A Columbia UniversityColumbia University www.www.ctrctr..columbiacolumbia..eduedu/advent/advent #12;VideoonDemandVideoonDemandVideoonDemand

  11. VideoonDemandVideoonDemandVideoonDemand Video on Demand Testbed

    E-Print Network [OSTI]

    Eleftheriadis, Alexandros

    #12;VideoonDemandVideoonDemandVideoonDemand Columbia's Video on Demand Testbed and Interoperability Experiment Columbia's Video on Demand Testbed and Interoperability Experiment H.H. KalvaKalva, A.www.eeee..columbiacolumbia..eduedu/advent/advent #12;VideoonDemandVideoonDemandVideoonDemand VoD Testbed ArchitectureVoD Testbed Architecture Video

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

    SciTech Connect (OSTI)

    McNeil, Michael A.; Iyer, Maithili

    2009-05-30

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

  13. Home Network Technologies and Automating Demand Response

    SciTech Connect (OSTI)

    McParland, Charles

    2009-12-01

    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.

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

    SciTech Connect (OSTI)

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

    2010-05-14

    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.

  15. Global Supply Chain Networks and Risk Management: A Multi-Agent Framework Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    as well as demand-side risk are included in the formulation. The model consists of three tiers of decisionGlobal Supply Chain Networks and Risk Management: A Multi-Agent Framework Anna Nagurney Radcliffe, Massachusetts 02138 and Department of Finance and Operations Management Isenberg School of Management University

  16. Residential Behavioral Savings: An Analysis of Principal Electricity End Uses in British Columbia

    E-Print Network [OSTI]

    Tiedemann, Kenneth Mr.

    2013-01-01

    Fowlie. 2007. Demand-Side Management and Energy Efficiencyand building shells. Demand side management programs have

  17. China's Pathways to Achieving 40percent 45percent Reduction in CO2 Emissions per Unit of GDP in 2020: Sectoral Outlook and Assessment of Savings Potential

    E-Print Network [OSTI]

    Zheng, Nina

    2013-01-01

    Generation Growth Demand Side Management Industrial Sectortechnology and demand side management. For electricity

  18. Integrated Energy System Dispatch Optimization

    E-Print Network [OSTI]

    Firestone, Ryan; Stadler, Michael; Marnay, Chris

    2006-01-01

    examined in [2]. C. Demand Side Management Curtailment andschedules. These demand side management (DSM) measures can

  19. An International Survey of Electric Storage Tank Water Heater Efficiency and Standards

    E-Print Network [OSTI]

    Johnson, Alissa

    2013-01-01

    actively implementing demand side management, after a seriesblackouts in 2008. Demand side management programs are now

  20. 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

  1. Operationalizing demand forecasts in the warehouse

    E-Print Network [OSTI]

    Li, Dan, Ph. D. University of Rochester

    2015-01-01

    Demand planning affects the subsequent business activities including distribution center operational planning and management. Today's competitive environment requires distribution centers to rapidly respond to changes in ...

  2. 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

  3. Role of Standard Demand Response Signals for Advanced Automated Aggregation

    SciTech Connect (OSTI)

    Lawrence Berkeley National Laboratory; Kiliccote, Sila

    2011-11-18

    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.

  4. Heap Assumptions on Demand Andreas Podelski1

    E-Print Network [OSTI]

    Wies, Thomas

    PROTOTYPE IMPLEMENTATION OF A DEMAND DRIVEN NETWORK MONITORING ARCHITECTURE Augusto Ciuffoletti for demand driven monitoring, named gd2, that can be potentially integrated in the gLite framework. We capable of managing the scalability challenge offered by a Grid environment: i) demand driven

  5. The alchemy of demand response: turning demand into supply

    SciTech Connect (OSTI)

    Rochlin, Cliff

    2009-11-15

    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)

  6. Advanced Demand Responsive Lighting

    E-Print Network [OSTI]

    Advanced Demand Responsive Lighting Host: Francis Rubinstein Demand Response Research Center demand responsive lighting systems ­ Importance of dimming ­ New wireless controls technologies · Advanced Demand Responsive Lighting (commenced March 2007) #12;Objectives · Provide up-to-date information

  7. Impact of Large Scale Energy Efficiency Programs On Consumer Tariffs and Utility Finances in India

    E-Print Network [OSTI]

    Abhyankar, Nikit

    2011-01-01

    India. Prayas. (2005). Demand-Side Management (DSM) in theEnergy Efficiency and Demand Side Management (DSM). PlanningDemand Growth Demand Side Management Delhi Transco Limited

  8. Demand Responsive and Energy Efficient Control Technologies andStrategies in Commercial Buildings

    SciTech Connect (OSTI)

    Piette, Mary Ann; Kiliccote, Sila

    2006-09-01

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

  9. Review of current Southern California edison load management programs and proposal for a new market-driven, mass-market, demand-response program

    E-Print Network [OSTI]

    Weller, G.H.

    2002-01-01

    Commercial & Industrial (C&I) Load Management Programs A.on the Existing SCE Load Management System / Technology BaseSmall Commercial Load Management Programs A. Programs based

  10. Utility Sector Impacts of Reduced Electricity Demand

    SciTech Connect (OSTI)

    Coughlin, Katie

    2014-12-01

    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.

  11. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

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

    2013-10-01

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

  12. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

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

    2013-10-01

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

  13. BUILDINGS SECTOR DEMAND-SIDE EFFICIENCY TECHNOLOGY SUMMARIES

    E-Print Network [OSTI]

    ........................................................................... 59 End-Use: Water Heating Sector: Residential Author: Jim Lutz VIII. Heat Pump Water Heaters) ................................................................ 5 End-Use: Lighting, HVAC Sector: Commercial, Industrial, Residential Author: Kristin Heinemeier II End-Use: Interior Lighting Sector: Commercial, Industrial Author: Ellen Franconi III. Compact

  14. A Hierarchical Framework for Demand-Side Frequency Control (Conference) |

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnicalInformation4563 LLNL Small-scaleCoherent LightNetworks| SciTech Connect

  15. Chapter 3 Demand-Side Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a lCaribElectricSouthApplying caulk to 13.1 - Purchase

  16. Chapter 3: Demand-Side Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a lCaribElectricSouthApplying caulk to 13.1 -Chapter 3 of the

  17. Impacts of Demand-Side Resources on Electric Transmission Planning |

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergy HeadquartersFuelBConservation Standards andEnergy Illinois StateEnergyDepartment

  18. Control and Optimization Meet the Smart Power Grid: Scheduling of Power Demands for Optimal Energy

    E-Print Network [OSTI]

    Koutsopoulos, Iordanis

    technologies to enforce sensible use of energy through effective demand load management. We envision a scenario of effective management of power supply and demand loads. Load management is primarily employed by the power by transferring non-emergency power demands at off-peak-load times. Demand load management does not significantly

  19. Linda YellinRichard AdamsAndres Weintraub Land Management Planning

    E-Print Network [OSTI]

    hand side of the recreation impact of alternative E indicates that the demand for recreation facilitiesLinda YellinRichard AdamsAndres Weintraub Land Management Planning: a method of evaluating December 1982 #12;Land Management Planning: a method of evaluating alternatives Introduction " . Land

  20. IEEE COMMUNICATIONS SURVEYS & TUTORIALS, ACCEPTED FOR PUBLICATION 1 Stochastic Information Management in Smart Grid

    E-Print Network [OSTI]

    Shen, Xuemin "Sherman"

    Management in Smart Grid Hao Liang, Member, IEEE, Amit Kumar Tamang, Weihua Zhuang, Fellow, IEEE, and Xuemin electric power grid toward smart grid. A key enabler of the smart grid is the two-way communications devices, demand side management (DSM) tools, and electric vehicles (EVs) in the future smart grid

  1. Incorporating Demand Resources into ISO New England’s Forward Capacity Market 

    E-Print Network [OSTI]

    Winkler, E.

    2008-01-01

    of 2007 that defined 6,102 megawatts (MW) of new demand- and supply-side resources now eligible to compete in the market. Approximately 40 percent—or 2,483 MW—of the new, qualified projects are demand-side resources such as demand response, energy...

  2. Demand Response and Electric Grid Reliability 

    E-Print Network [OSTI]

    Wattles, P.

    2012-01-01

    and Regional Transmission Organizations are the ?air traffic controllers? of the bulk electric power grids 4 Power supply (generation) must match load (demand) CATEE Conference October 10, 2012 ? The fundamental concept behind ERCOT operations... changes or incentives.? (FERC) ? ?Changes in electric use by demand-side resources from their normal consumption patterns in response to changes in the price of electricity, or to incentive payments designed to induce lower electricity use at times...

  3. Review of current Southern California edison load management programs and proposal for a new market-driven, mass-market, demand-response program

    E-Print Network [OSTI]

    Weller, G.H.

    2002-01-01

    for emergency load management. e. Estimated Program Cost TheCommercial & Industrial (C&I) Load Management Programs A.on the Existing SCE Load Management System / Technology Base

  4. Coding with side information 

    E-Print Network [OSTI]

    Cheng, Szeming

    2005-11-01

    Source coding and channel coding are two important problems in communications. Although side information exists in everyday scenario, the e?ect of side information is not taken into account in the conventional setups. ...

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

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

  6. Agriculture, irrigation, and drainage on the west side of the San Joaquin Valley, California: Unified perspective on hydrogeology, geochemistry and management

    SciTech Connect (OSTI)

    Narasimhan, T.N.; Quinn, N.W.T.

    1996-03-01

    The purpose of this report is to provide a broad understanding of water-related issues of agriculture and drainage on the west side of the San Joaquin Valley. To this end, an attempt is made to review available literature on land and water resources of the San Joaquin Valley and to generate a process-oriented framework within which the various physical-, chemical-, biological- and economic components of the system and their interactions are placed in mutual perspective.

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

    E-Print Network [OSTI]

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

    2009-01-01

    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 and demand response, add uncertainties ...

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

    E-Print Network [OSTI]

    Wang, Jiankang

    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 ...

  9. Residential Demand Sector Data, Commercial Demand Sector Data, Industrial Demand Sector Data - Annual Energy Outlook 2006

    SciTech Connect (OSTI)

    2009-01-18

    Tables describing consumption and prices by sector and census division for 2006 - includes residential demand, commercial demand, and industrial demand

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

    E-Print Network [OSTI]

    Lekov, Alex

    2009-01-01

    energy efficiency, load management, and demand response caseenergy efficiency and load management purposes can often bein place controls for load management programs as well as

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

    E-Print Network [OSTI]

    Gross, George

    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

  12. Zero Energy Windows

    E-Print Network [OSTI]

    Arasteh, Dariush; Selkowitz, Steve; Apte, Josh; LaFrance, Marc

    2006-01-01

    can play a role. Demand-side management programs may alsoelectric utility “demand-side management” programs are notheating, gas “demand-side management” programs could be

  13. Water resources planning under climate change and variability

    E-Print Network [OSTI]

    O'Hara, Jeffrey Keith

    2007-01-01

    transfers or options. Demand-side management includes thepricing schemes, and demand-side management for urban water,of alternate demand side management, particularly

  14. Energy Efficiency in Western Utility Resource Plans: Impacts on Regional Resources Assessment and Support for WGA Policies

    E-Print Network [OSTI]

    Hopper, Nicole; Goldman, Charles; Schlegal, Jeff

    2006-01-01

    Commission demand-side management energy efficiencyefficiency or other demand-side management programs (seeefficiency or other demand-side management programs (see

  15. Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards Environmental Energy Technologies Division March 2011

    E-Print Network [OSTI]

    Satchwell, Andrew

    2011-01-01

    7   4.2 Demand Side Management (DSM) Portfolioresponse programs. Demand Side Management – Strategiesof the demand side management (DSM) portfolio – projected

  16. Opportunities to change development pathways toward lower greenhouse gas emissions through energy efficiency

    E-Print Network [OSTI]

    Sathaye, Jayant

    2010-01-01

    by all current demand-side management programs in the USAif energy efficiency (demand-side management) programs avoidenergy supply and demand side management but also specific

  17. Energy Audit Practices in China: National and Local Experiences and Issues

    E-Print Network [OSTI]

    Shen, Bo

    2011-01-01

    centers, a demand-side management guidance center, anBeijing-based Demand Side Management (DSM) Technical Centercenter, a demand-side management guidance center, an energy-

  18. The Theory and Practice of Decoupling

    E-Print Network [OSTI]

    Eto, J.H.

    2010-01-01

    Incemives for Demand-Side Management. Nadel, Reid and6th National Demand-Side Management Conference. ElectricIncentives for Demand-Side Management. Nadel, Reid and

  19. Accelerating the Adoption of Second-Tier Reach Standards for Applicable Appliance Products in China

    E-Print Network [OSTI]

    Lin, Jiang; Fridley, David

    2008-01-01

    of funding such as demand-side-management (DSM) programsutility-based demand-side management (DSM) program. Consumerdeveloped economies, demand-side-management (DSM) programs

  20. INDEEP ANNUAL REPORT (1995-1996)

    E-Print Network [OSTI]

    Fine, Edward

    2010-01-01

    Agreement on Demand-Side Management Technologies andData Base on Demand-Side Management Technologies andInternational Data Base Demand-Side Management Technologies

  1. Country Review of Energy-Efficiency Financial Incentives in the Residential Sector

    E-Print Network [OSTI]

    Can, Stephane de la Rue du

    2011-01-01

    2009) benefits of demand-side management (DSM) programs.Barriers to Utility Demand-Side Management in Canada”, EEWGbottleneck in demand side management (DSM) in China. ”

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2012-01-01

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

  3. A Guidebook for Low-Carbon Development at the Local Level

    E-Print Network [OSTI]

    Zhou, Nan

    2012-01-01

    Demand Side Management 2010. Meade, B. 2010. “Demand Side Management” Available at:NRDC). 2003. Demand-side Management in China: Benefits,

  4. National Energy Efficiency Evaluation, Measurement and Verification (EM&V) Standard: Scoping Study of Issues and Implementation Requirements

    E-Print Network [OSTI]

    Schiller, Steven R.

    2011-01-01

    Earnings from Demand-Side Management Programs. Prepared byAgency (IEA) 2009. "Demand Side Management Agreements TaskEarnings from Demand-Side Management Programs. Prepared by

  5. Database management support for a news-on-demand application M. Tamer zsu, Duane Szafron, Ghada El-Medani, Sherine El-Medani,

    E-Print Network [OSTI]

    Szafron, Duane

    systems (DBMS) for this kind of application. First, multimedia systems can benefit from standard DBMS, requiring multiple servers to satisfy their storage requirements. The well-developed distributed DBMS of a DBMS that supports a distributed news-on-demand application. This DBMS is part of the larger Broadband

  6. DEMAND INTERPROCEDURAL PROGRAM ANALYSIS

    E-Print Network [OSTI]

    Reps, Thomas W.

    1 DEMAND INTERPROCEDURAL PROGRAM ANALYSIS USING LOGIC DATABASES Thomas W. Reps Computer Sciences@cs.wisc.edu ABSTRACT This paper describes how algorithms for demand versions of inerprocedural program­ analysis for all elements of the program. This paper concerns the solution of demand versions of interprocedural

  7. Capacity Demand Power (GW)

    E-Print Network [OSTI]

    California at Davis, University of

    Capacity Demand Power (GW) Hour of the Day The "Dip" Electricity Demand in Electricity Demand Every weekday, Japan's electricity use dips about 6 GW at 12 but it also shows that: · Behavior affects naHonal electricity use in unexpected ways

  8. 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

  9. Automated Demand Response and Commissioning

    E-Print Network [OSTI]

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

    2005-01-01

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

  10. Demand Response Spinning Reserve Demonstration

    E-Print Network [OSTI]

    2007-01-01

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

  11. 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

  12. A Demand Driven Computation Strategy for Lazy Narrowing ?

    E-Print Network [OSTI]

    Loogen, Rita

    Control on Demand Gísli Hjálmtýsson + and Samrat Bhattacharjee # + AT&T Labs -- Research, 180 Park 30332 1 Abstract. Control on demand is a paradigm for network programmability at the network transport functionality, relegating programmability to control plane connection management. In con­ trast, control­on­demand

  13. A Spatio-Temporal Point Process Model for Ambulance Demand

    E-Print Network [OSTI]

    Woodard, Dawn B.

    (EMS) managers need accurate demand estimates to mini- mize response times to emergencies and keep. Several studies have modeled aggregate ambulance demand as a temporal process. Channouf et al. (2007) use by combining a dynamic latent factor structure with integer time series models. Other aggregate demand studies

  14. Exponential Demand Simulation Tool

    E-Print Network [OSTI]

    Reed, Derek D.

    2015-05-15

    Operant behavioral economics investigates the relation between environmental constraint and reinforcer consumption. The standard approach to quantifying this relation is through the use of behavioral economic demand curves. ...

  15. upply-chain management is a set of ap-proaches that help efficiently integrate

    E-Print Network [OSTI]

    Shen, Zuo-Jun "Max"

    S upply-chain management is a set of ap- proaches that help efficiently integrate suppliers the "Treating Uncertainties in the Supply Chain" side- bar for a full discussion of related work in this area and shipment decisions. I also explicitly model sto- chastic demand and random supply in the supply chain. (For

  16. Hawaii demand-side management resource assessment. Final report, Reference Volume 2: Final residential and commercial building prototypes and DOE-2.1E developed UECs and EUIs; Part 3

    SciTech Connect (OSTI)

    1995-04-01

    This section contains the detailed measured impact results and market segment data for each DSM case examined for this building type. A complete index of all base and measure cases defined for this building type is shown first. This index represents an expansion of the base and measure matrix presented in Table 1 (residential) or Table 2 (commercial) for the applicable sector. Following this index, a summary report sheet is provided for each DSM measure case in the order shown in the index. The summary report sheet contains a host of information and selected graphs which define and depict the measure impacts and outline the market segment data assumptions utilized for each case in the DBEDT DSM Forecasting models. The variables and figures included in the summary report sheet are described. Numerous tables and figures are included.

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

    SciTech Connect (OSTI)

    Cappers, Peter; Goldman, Charles; Kathan, David

    2009-06-01

    Empirical evidence concerning demand response (DR) resources is needed in order to establish baseline conditions, develop standardized methods to assess DR availability and performance, and to build confidence among policymakers, utilities, system operators, and stakeholders that DR resources do offer a viable, cost-effective alternative to supply-side investments. This paper summarizes the existing contribution of DR resources in U.S. electric power markets. In 2008, customers enrolled in existing wholesale and retail DR programs were capable of providing ~;;38,000 MW of potential peak load reductions in the United States. Participants in organized wholesale market DR programs, though, have historically overestimated their likely performance during declared curtailments events, but appear to be getting better as they and their agents gain experience. In places with less developed organized wholesale market DR programs, utilities are learning how to create more flexible DR resources by adapting legacy load management programs to fit into existing wholesale market constructs. Overall, the development of open and organized wholesale markets coupled with direct policy support by the Federal Energy Regulatory Commission has facilitated new entry by curtailment service providers, which has likely expanded the demand response industry and led to product and service innovation.

  18. Peak CO2? China's Emissions Trajectories to 2050

    E-Print Network [OSTI]

    Zhou, Nan

    2012-01-01

    technology and demand side management. This study uses twoGeneration Growth Demand Side Management EV mandates or

  19. Residential water use and landscape vegetation dynamics in Los Angeles

    E-Print Network [OSTI]

    Mini, Caroline

    2013-01-01

    Archibald, S. O. (1998). Demand side management policies forArchibald, S. , 1998, Demand side management policies for

  20. Cash for Coolers

    E-Print Network [OSTI]

    Davis, Lucas W.; Fuchs, Alan; Gertler, Paul J.

    2012-01-01

    Fowlie. 2008. “Demand Side Management and Energy-efficiencyKulick. 2004. “Demand-Side Management and Energy- efficiency

  1. A Review of Electrochromic Window Performance Factors

    E-Print Network [OSTI]

    Selkowitz Ed, S.E.

    2010-01-01

    approaches, utility demand side management programs, and7. Utilities with demand-side management programs to reduce

  2. CERTS Microgrid Laboratory Test Bed

    E-Print Network [OSTI]

    Lasseter, R. H.

    2010-01-01

    utility, allowing for demand-side management arrangements.resource planning, demand-side management, and building

  3. Centralized and Decentralized Control for Demand Response

    SciTech Connect (OSTI)

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

    2011-04-29

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

  4. Demand Dispatch-Intelligent

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

    such as wind, solar, and electric vehicles as well as dispatchable loads and microgrids. Many of these resources will be "behind-the-meter" (i.e., demand resources) and...

  5. 944 IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOL. 4, NO. 4, OCTOBER 2013 Robust Energy Management for Microgrids With

    E-Print Network [OSTI]

    Giannakis, Georgios

    for Microgrids With High-Penetration Renewables Yu Zhang, Student Member, IEEE, Nikolaos Gatsis, Member, IEEE in microgrids, which feature distributed generation (DG) and distributed storage (DS). Distributed economic dispatch for a microgrid with high renew- able energy penetration and demand-side management operating

  6. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

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

  7. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

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

  8. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

    H. , and James M. Gri˘ n. 1983. Gasoline demand in the OECDof dynamic demand for gasoline. Journal of Econometrics 77(An empirical analysis of gasoline demand in Denmark using

  9. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

    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

  10. Resource Allocation with Unknown Constraints: An Extremum Seeking Control Approach and Applications to Demand Response

    E-Print Network [OSTI]

    Ma, Kai; Hu, Guoqiang; Spanos, Costas

    2014-01-01

    Z. Yang, and Y. Zhang, “Demand response manage- ment withS. H. Low, “Optimal demand response: Problem formulation andYang, and X. Guan, “Optimal demand response scheduling with

  11. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

    Sterner. 1991. Analysing gasoline demand elasticities: A2011. Measuring global gasoline and diesel price and incomeMutairi. 1995. Demand for gasoline in Kuwait: An empirical

  12. Progress toward Producing Demand-Response-Ready Appliances

    SciTech Connect (OSTI)

    Hammerstrom, Donald J.; Sastry, Chellury

    2009-12-01

    This report summarizes several historical and ongoing efforts to make small electrical demand-side devices like home appliances more responsive to the dynamic needs of electric power grids. Whereas the utility community often reserves the word demand response for infrequent 2 to 6 hour curtailments that reduce total electrical system peak load, other beneficial responses and ancillary services that may be provided by responsive electrical demand are of interest. Historically, demand responses from the demand side have been obtained by applying external, retrofitted, controlled switches to existing electrical demand. This report is directed instead toward those manufactured products, including appliances, that are able to provide demand responses as soon as they are purchased and that require few, or no, after-market modifications to make them responsive to needs of power grids. Efforts to be summarized include Open Automated Demand Response, the Association of Home Appliance Manufacturer standard CHA 1, a simple interface being developed by the U-SNAP Alliance, various emerging autonomous responses, and the recent PinBus interface that was developed at Pacific Northwest National Laboratory.

  13. Demand Response Valuation Frameworks Paper

    E-Print Network [OSTI]

    Heffner, Grayson

    2010-01-01

    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

  14. Optimal Demand Response Libin Jiang

    E-Print Network [OSTI]

    Optimal Demand Response Libin Jiang Steven Low Computing + Math Sciences Electrical Engineering Caltech Oct 2011 #12;Outline Caltech smart grid research Optimal demand response #12;Global trends 1

  15. ENERGY DEMAND FORECAST METHODS REPORT

    E-Print Network [OSTI]

    ....................................................................................................1-16 Energy Consumption Data...............................................1-15 Data Sources for Energy Demand Forecasting ModelsCALIFORNIA ENERGY COMMISSION ENERGY DEMAND FORECAST METHODS REPORT Companion Report

  16. continued on other side Communication and Information Technology

    E-Print Network [OSTI]

    technologies (content management systems, databases, wikis, blogs, RSS) to deliver content and createcontinued on other side Communication and Information Technology CIT Products and Services Public and Engagement, Communication and Information Technology (CIT) develops communication plans and information

  17. Real-Time Demand Response with Uncertain Renewable Energy in Smart Grid

    E-Print Network [OSTI]

    Wierman, Adam

    Real-Time Demand Response with Uncertain Renewable Energy in Smart Grid Libin Jiang and Steven Low manages user load through real-time demand response and purchases balancing power on the spot market and demand response in the presence of uncertain renewable supply and time-correlated demand. The overall

  18. Siding | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity for LowInformationShoshone County,Si BrilliantSibleySiding Jump

  19. Estimating a Demand System with Nonnegativity Constraints: Mexican Meat Demand

    E-Print Network [OSTI]

    Carlini, David

    Estimating a Demand System with Nonnegativity Constraints: Mexican Meat Demand Amos Golan* Jeffrey an almost ideal demand system for five types of meat using cross-sectional data from Mexico, where most households did not buy at least one type of meat during the survey week. The system of demands is shown

  20. Peer-Assisted On-Demand Streaming: Characterizing Demands and

    E-Print Network [OSTI]

    Li, Baochun

    Peer-Assisted On-Demand Streaming: Characterizing Demands and Optimizing Supplies Fangming Liu Abstract--Nowadays, there has been significant deployment of peer-assisted on-demand streaming services over the Internet. Two of the most unique and salient features in a peer-assisted on-demand streaming

  1. A Look Ahead at Demand Response in New England

    SciTech Connect (OSTI)

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

    2008-08-01

    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.

  2. Energy Demand Staff Scientist

    E-Print Network [OSTI]

    Eisen, Michael

    #12;Sources: China National Bureau of Statistics; U.S. Energy Information Administration, Annual Energy Outlook. Overview:Overview: Energy Use in China and the U.S.Energy Use in China and the U.S. 5 0Energy Demand in China Lynn Price Staff Scientist February 2, 2010 #12;Founded in 1988 Focused

  3. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01

    fraction of residential and commercial demands, leading16 Residential electricity demand endspecific residential electricity demands into electricity

  4. Demand Forecast INTRODUCTION AND SUMMARY

    E-Print Network [OSTI]

    Demand Forecast INTRODUCTION AND SUMMARY A 20-year forecast of electricity demand is a required in electricity demand is, of course, crucial to determining the need for new electricity resources and helping of any forecast of electricity demand and developing ways to reduce the risk of planning errors

  5. Measurement and evaluation techniques for automated demand response demonstration

    SciTech Connect (OSTI)

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

    2004-08-01

    The recent electricity crisis in California and elsewhere has prompted new research to evaluate demand response strategies in large facilities. This paper describes an evaluation of fully automated demand response technologies (Auto-DR) in five large facilities. Auto-DR does not involve human intervention, but is initiated at a facility through receipt of an external communications signal. This paper summarizes the measurement and evaluation of the performance of demand response technologies and strategies in five large facilities. All the sites have data trending systems such as energy management and control systems (EMCS) and/or energy information systems (EIS). Additional sub-metering was applied where necessary to evaluate the facility's demand response performance. This paper reviews the control responses during the test period, and analyzes demand savings achieved at each site. Occupant comfort issues are investigated where data are available. This paper discusses methods to estimate demand savings and results from demand response strategies at five large facilities.

  6. On the Efficiency of Markets with Two-Sided Proportional Allocation Mechanisms

    E-Print Network [OSTI]

    Vetta, Adrian

    On the Efficiency of Markets with Two-Sided Proportional Allocation Mechanisms Volodymyr Kuleshov). Specifically, we examine the proportional allocation mechanism for two-sided markets. This mechanism is the natural generalization of both Kelly's proportional allocation mechanism for demand-competitive markets [8

  7. Optimization of Siding Location for Single-track Lines with Non-Uniform Track Speed

    E-Print Network [OSTI]

    Barkan, Christopher P.L.

    Single-track with proper allocation of passing sidings (loops) is a substantial option to save investment in commodity flows and energy markets. With new demand from the shale oil and gas industry, railroads have capital investment required for siding projects, the relationship between train delay reduction, traffic

  8. Transportation Demand Management (TDM) Encyclopedia | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al., 2013)OpenEnergyTrail Canyonsource History ViewCaseInformation

  9. The Effects of Demand Management Measures on

    E-Print Network [OSTI]

    California at Davis, University of

    & Light Commercial $ 0.14 $ 0.28 Medium Truck $ 0.49 $ 0.98 Heavy Truck $ 0.58 $ 1.16 #12;Transit Oriented #12;Share of Total VMT & GHGs in U.S. for Light & Commercial Vehicles from 2013 to 2040 (EIA) 0% 10

  10. Demand Management Institute (DMI) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA Jump to: navigation, searchDaimlerDayton Power(Maryland)Pvt

  11. Water supply and demand in an energy supply model

    SciTech Connect (OSTI)

    Abbey, D; Loose, V

    1980-12-01

    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.

  12. Design of Extended Warranties in Supply Chains under Additive Demand

    E-Print Network [OSTI]

    Li, Kumpeg; Mallik, Suman; Chhajed, Dilip

    2012-01-01

    Li, Kumpeg, Suman Mallik, and Dilip Chhajed. "Design of Extended Warranties in Supply Chains under Additive Demand." Production and Operations Management 21.4 (2012): 730-46. Publisher’s official version: http://dx.doi.org/10.1111/j.1937- 5956... of this document.] Paper citation: Li, Kumpeg, Suman Mallik, and Dilip Chhajed. "Design of Extended Warranties in Supply Chains under Additive Demand." Production and Operations Management 21.4 (2012): 730-46. Keywords: extended warranty, supply chain...

  13. Regulatory Side-by-Side Governing Permitting of Cross-Border...

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

    Regulatory Side-by-Side Governing Permitting of Cross-Border Electricity Transmission Facilities Between the United States and Canada Regulatory Side-by-Side Governing Permitting...

  14. Decentralized Optimal Load Scheduling using Extremum Seeking-Based Optimization

    E-Print Network [OSTI]

    Ye, Maojiao; Hu, Guoqiang; Spanos, Costas J

    2014-01-01

    Demand side management: demand response, intelligent energyBasar, "Dependable demand response management in the smartYang and Y. Zhang, "Demand response management with multiple

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

    retail regulatory authority prohibit such activity. Demand response integration into US wholesale power marketsretail or wholesale level. 17 While demand response began participating at scale in wholesale power markets

  16. Demand Dispatch-Intelligent

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2DepartmentDelta Dental Claim Form PDF iconDemand

  17. Revelation on Demand Nicolas Anciaux

    E-Print Network [OSTI]

    Revelation on Demand Nicolas Anciaux 1 · Mehdi Benzine1,2 · Luc Bouganim1 · Philippe Pucheral1 "revelation on demand". Keywords: Confidentiality and privacy, Secure device, Data warehousing, Indexing model

  18. by popular demand: Addiction II

    E-Print Network [OSTI]

    Niv, Yael

    by popular demand: Addiction II PSY/NEU338:Animal learning and decision making: Psychological, size of other non-drug rewards, and cost (but ultimately the demand is inelastic, or at least

  19. Green Communications by Demand Shaping and User-in-the-Loop Tariff-based Control

    E-Print Network [OSTI]

    Yanikomeroglu, Halim

    @sce.carleton.ca Abstract--The new field of green communications can be divided into a) energy-efficient communications for controlling the demand side. Dealing with congestion is a consequence of the supply=demand regime and the end, technical solutions which aim at making the wireless network more efficient in terms of specific bit energy

  20. Chord on Demand Alberto Montresor

    E-Print Network [OSTI]

    Jelasity, Márk

    Chord on Demand Alberto Montresor University of Bologna, Italy montresor@cs.unibo.it M´ark Jelasity to solve a specific task on demand. We introduce T- CHORD, that can build a Chord network efficiently to solve a specific task on demand. Existing join protocols are not designed to handle the massive

  1. Supply Chain Supernetworks Random Demands

    E-Print Network [OSTI]

    Nagurney, Anna

    Supply Chain Supernetworks with Random Demands June Dong and Ding Zhang Department of Marketing of three tiers of decision-makers: the manufacturers, the distributors, and the retailers, with the demands equilibrium model with electronic commerce and with random demands for which modeling, qualitative analysis

  2. Chord on Demand Alberto Montresor

    E-Print Network [OSTI]

    Chord on Demand Alberto Montresor University of Bologna, Italy montresor@cs.unibo.it Mark Jelasity to solve a specific task on demand. We introduce T- CHORD, that can build a Chord network efficiently on demand. Existing join protocols are not designed to handle the massive concurrency involved in a jump

  3. ERCOT Demand Response Paul Wattles

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    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

  4. 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

  5. Demand Response Spinning Reserve Demonstration -- Phase 2 Findings from the Summer of 2008

    SciTech Connect (OSTI)

    Eto, Joseph H.; Nelson-Hoffman, Janine; Parker, Eric; Bernier, Clark; Young, Paul; Sheehan, Dave; Kueck, John; Kirby, Brendan

    2009-04-30

    The Demand Response Spinning Reserve project is a pioneering demonstration showing that existing utility load-management assets can provide an important electricity system reliability resource known as spinning reserve. Using aggregated demand-side resources to provide spinning reserve as demonstrated in this project will give grid operators at the California Independent System Operator (CA ISO) and Southern California Edison (SCE) a powerful new tool to improve reliability, prevent rolling blackouts, and lower grid operating costs.In the first phase of this demonstration project, we target marketed SCE?s air-conditioning (AC) load-cycling program, called the Summer Discount Plan (SDP), to customers on a single SCE distribution feederand developed an external website with real-time telemetry for the aggregated loads on this feeder and conducted a large number of short-duration curtailments of participating customers? air-conditioning units to simulate provision of spinning reserve. In this second phase of the demonstration project, we explored four major elements that would be critical for this demonstration to make the transition to a commercial activity:1. We conducted load curtailments within four geographically distinct feeders to determine the transferability of target marketing approaches and better understand the performance of SCE?s load management dispatch system as well as variations in the AC use of SCE?s participating customers;2. We deployed specialized, near-real-time AC monitoring devices to improve our understanding of the aggregated load curtailments we observe on the feeders;3. We integrated information provided by the AC monitoring devices with information from SCE?s load management dispatch system to measure the time required for each step in the curtailment process; and4. We established connectivity with the CA ISO to explore the steps involved in responding to CA ISO-initiated requests for dispatch of spinning reserve.The major findings from the second phase of this demonstration are:1. Demand-response resources can provide full response significantly faster than required by NERC and WECC reliability rules.2. The aggregate impact of demand response from many small, individual sources can be estimated with varying degrees of reliability through analysis of distribution feeder loads.3. Monitoring individual AC units helps to evaluate the efficacy of the SCE load management dispatch system and better understand AC energy use by participating customers.4. Monitoring individual AC units provides an independent data source to corroborate the estimates of the magnitude of aggregate load curtailments and gives insight into results from estimation methods that rely solely on distribution feeder data.

  6. Electrical Demand Control 

    E-Print Network [OSTI]

    Eppelheimer, D. M.

    1984-01-01

    Almost every building owner or manager is interested in controlling electrical costs. Since the HVAC system is a large user of electricity, this article will discuss what can be done in the HVAC system to influence parts of the utility bill....

  7. Demand Response Programs, 6. edition

    SciTech Connect (OSTI)

    2007-10-15

    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.

  8. Generating Demand for Multifamily Building Upgrades | Department...

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

    Demand for Multifamily Building Upgrades Generating Demand for Multifamily Building Upgrades Better Buildings Residential Network Peer Exchange Call Series: Generating Demand for...

  9. China's Coal: Demand, Constraints, and Externalities

    E-Print Network [OSTI]

    Aden, Nathaniel

    2010-01-01

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

  10. Home Network Technologies and Automating Demand Response

    E-Print Network [OSTI]

    McParland, Charles

    2010-01-01

    LBNL Commercial and Residential Demand Response Overview ofmarket [5]. Residential demand reduction programs have beenin the domain of residential demand response. There are a

  11. Installation and Commissioning Automated Demand Response Systems

    E-Print Network [OSTI]

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

    2008-01-01

    their partnership in demand response automation research andand Techniques for Demand Response. LBNL Report 59975. Mayof Fully Automated Demand Response in Large Facilities.

  12. Coupling Renewable Energy Supply with Deferrable Demand

    E-Print Network [OSTI]

    Papavasiliou, Anthony

    2011-01-01

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

  13. Strategies for Demand Response in Commercial Buildings

    E-Print Network [OSTI]

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

    2006-01-01

    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

  14. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01

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

  15. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

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

  16. Hawaiian Electric Company Demand Response Roadmap Project

    E-Print Network [OSTI]

    Levy, Roger

    2014-01-01

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

  17. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01

    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

  18. Demand Response - Policy | Department of Energy

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

    Coordination of Energy Efficiency and Demand Response Demand Response in U.S. Electricity Markets: Empirical Evidence 2009 Retail Demand Response in Southwest Power Pool (January...

  19. Demand Response as a System Reliability Resource

    E-Print Network [OSTI]

    Joseph, Eto

    2014-01-01

    Barat, and D. Watson. 2007. Demand Response Spinning ReserveKueck, and B. Kirby. 2009. Demand Response Spinning Reserveand B. Kirby. 2012. The Demand Response Spinning Reserve

  20. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01

    duty fuel demand in alternate scenarios. ..for light-duty fuel demand in alternate scenarios. Minimum52 Heavy-duty vehicle fuel demand for each alternate

  1. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01

    2006-2016: Staff energy demand forecast (Revised SeptemberCEC (2005b) Energy demand forecast methods report.California energy demand 2003-2013 forecast. California

  2. Energy-Agile Laptops: Demand Response of Mobile Plug Loads Using Sensor/Actuator Networks

    E-Print Network [OSTI]

    California at Berkeley, University of

    Energy-Agile Laptops: Demand Response of Mobile Plug Loads Using Sensor/Actuator Networks Nathan@me.berkeley.edu Abstract--This paper explores demand response techniques for managing mobile, distributed loads with on observed. Our first simulation study explores a classic demand response scenario in which a large number

  3. Findings from the 2004 Fully Automated Demand Response Tests in Large

    E-Print Network [OSTI]

    LBNL-58178 Findings from the 2004 Fully Automated Demand Response Tests in Large Facilities M;Findings from the 2004 Fully Automated Demand Response Tests in Large Facilities September 7, 2005 Mary Ann Manager Dave Michel Contract 500-03-026 Sponsored by the California Energy Commission PIER Demand Response

  4. Modeling of End-Use Energy Profile: An Appliance-Data-Driven Stochastic Approach

    E-Print Network [OSTI]

    Kang, Zhaoyi; Jin, Ming; Spanos, Costas J

    2014-01-01

    Demand side management: Demand response, intelligent energydesigning building demand-response system [5]. The Bottom-up

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

    E-Print Network [OSTI]

    Nehorai, Arye

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

  6. Demand Response Spinning Reserve Demonstration

    E-Print Network [OSTI]

    2007-01-01

    using existing utility load-management assets can provide anhow existing utility load-management assets can provide anutility load-management asset can be repositioned as a

  7. Demand Response Technology Roadmap A

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

    meetings and workshops convened to develop content for the Demand Response Technology Roadmap. The project team has developed this companion document in the interest of providing...

  8. Supply Chain Supernetworks With Random Demands

    E-Print Network [OSTI]

    Nagurney, Anna

    Supply Chain Supernetworks With Random Demands June Dong Ding Zhang School of Business State Field Warehouses: stocking points Customers, demand centers sinks Production/ purchase costs Inventory Customer Demand Customer Demand Retailer OrdersRetailer Orders Distributor OrdersDistributor Orders

  9. management

    National Nuclear Security Administration (NNSA)

    5%2A en Management and Budget http:www.nnsa.energy.govaboutusouroperationsmanagementandbudget

  10. California's Energy Future - The View to 2050

    E-Print Network [OSTI]

    2011-01-01

    only in development. System management technology is not yetbattery technologies (Na/S, demand-side management advancedtechnology for widespread residential time-of-use demand side management

  11. Smart Metering and Electricity Demand: Technology, Economics and International Experience

    E-Print Network [OSTI]

    Brophy Haney, A.; Jamasb, Tooraj; Pollitt, Michael G.

    in the context of investing in demand-side participation. Innovative forms of metering allow for more detailed information to be collected on electricity consumption; communications technology facilitates greater interaction between the end-user and the rest... of the electricity supply chain; and both information and interaction allow for end-users to become more actively involved in the electricity market by, for example, responding to price signals and information on consumption patterns. 2 Smaller electricity users...

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

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

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

  13. Honeywell Demonstrates Automated Demand Response Benefits for...

    Office of Environmental Management (EM)

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

  14. Effects of the drought on California electricity supply and demand

    E-Print Network [OSTI]

    Benenson, P.

    2010-01-01

    Acknowledgments SUMMARY Electricity Demand ElectricityAdverse Impacts ELECTRICITY DEMAND . . . .Demand forElectricity Sales Electricity Demand by Major Utility

  15. Installation and Commissioning Automated Demand Response Systems

    SciTech Connect (OSTI)

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

    2008-04-21

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

  16. Brushless machine having ferromagnetic side plates and side magnets

    DOE Patents [OSTI]

    Hsu, John S

    2012-10-23

    An apparatus is provided having a cylindrical stator and a rotor that is spaced from a stator to define an annular primary air gap that receives AC flux from the stator. The rotor has a plurality of longitudinal pole portions disposed parallel to the axis of rotation and alternating in polarity around a circumference of the rotor. Each longitudinal pole portion includes portions of permanent magnet (PM) material and at least one of the longitudinal pole portions has a first end and an opposing second end and a side magnet is disposed adjacent the first end and a side pole is disposed adjacent the second end.

  17. Demand Response for Ancillary Services

    SciTech Connect (OSTI)

    Alkadi, Nasr E; Starke, Michael R

    2013-01-01

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

  18. In smart grid, as renewable energy becomes a significant portion of the generation mix, effective approaches are needed to manage volatility and uncertainty associated with renewable such as wind and solar. Also the proliferation of demand

    E-Print Network [OSTI]

    DeMara, Ronald F.

    In smart grid, as renewable energy becomes a significant portion of the generation mix, effective power systems with smart grid technologies, in particular, renewable energy and demand response SCUC models are particularly useful for modeling the large-scale integration of renewable energy

  19. Near-Optimal Execution Policies for Demand-Response Contracts in Electricity Markets Vineet Goyal1, Garud Iyengar1 and Zhen Qiu1

    E-Print Network [OSTI]

    Goyal, Vineet

    Near-Optimal Execution Policies for Demand-Response Contracts in Electricity Markets Vineet Goyal1-time energy balance in today's electricity grid. Demand- response contracts, where an electric utility company-side participation including time of use pricing, real-time pricing for smart appliances and interruptible demand-response

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

    for decades. In the US, load management and interruptible/primary interest in load management was driven in part byresponse (DR) is a load management tool which provides a

  1. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

    A Joint Model of the Global Crude Oil Market and the U.S.Noureddine. 2002. World crude oil and natural gas: a demandelasticity of demand for crude oil, not gasoline. Results

  2. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

    A Joint Model of the Global Crude Oil Market and the U.S.Noureddine. 2002. World crude oil and natural gas: a demandelasticity of demand for crude oil, not gasoline. Results

  3. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

    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-

  4. Evaluation of Side Stream Filtration Technology at Oak Ridge National Laboratory

    SciTech Connect (OSTI)

    Boyd, Brian K.

    2014-08-01

    This technology evaluation was performed by Pacific Northwest National Laboratory and Oak Ridge National Laboratory on behalf of the Federal Energy Management Program. The objective was to quantify the benefits side stream filtration provides to a cooling tower system. The evaluation assessed the performance of an existing side stream filtration system at a cooling tower system at Oak Ridge National Laboratory’s Spallation Neutron Source research facility. This location was selected because it offered the opportunity for a side-by-side comparison of a system featuring side stream filtration and an unfiltered system.

  5. Demand Response in Quebec's CI Buildings: Potentioal and Strategies 

    E-Print Network [OSTI]

    Daoud, A.; Leduc, M. A.; Baribeault, J.; Lavigne, K.; Chenard, S.; Poulin, A.; Martel, S.; Bendaoud, A.

    2013-01-01

    ? ICEBO2013 Demand response in Quebec?s CI buildings: potential and strategies Team: Ahmed Daoud, Ph.D, project manager Marie-Andr?e Leduc, MSc., ing, task manager Jean Baribeault, ing, researcher Karine Lavigne, MSc.A., ing, researcher Sylvain... Proceedings of the 13th International Conference for Enhanced Building Operations, Montreal, Quebec, October 8-11, 2013 Demand response in CI buildings ESL-IC-13-10-20a Proceedings of the 13th International Conference for Enhanced Building Operations...

  6. California Baseline Energy Demands to 2050 for Advanced Energy Pathways

    E-Print Network [OSTI]

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

    2008-01-01

    demands. Residential and commercial demand has a significantDemand by Sector Residential Peak Demand (MW) Commercialwe convert residential electricity demand based upon climate

  7. Demand Response for Ancillary Services

    Broader source: Energy.gov [DOE]

    Methodologies used to study grid integration of variable generation can be adapted to the study of demand response. In the present work, we describe and implement a methodology to construct detailed temporal and spatial representations of demand response resources and to incorporate those resources into power system models. In addition, the paper outlines ways to evaluate barriers to implementation. We demonstrate how the combination of these three analyses can be used to assess economic value of the realizable potential of demand response for ancillary services.

  8. Physically-based demand modeling 

    E-Print Network [OSTI]

    Calloway, Terry Marshall

    1980-01-01

    nts on the demand. Of course the demand of a real a1r cond1t1oner has lower and upper bounds equal to 0 and 0 , respec- u tively. A constra1ned system can be simulated numerically, but there 1s no explicit system response formula s1m11ar... sect1on. It may now be instruct1ve to relate this model to that of Jones and Bri ce [5] . The average demand pred1 cted by their model is the expected value of the product of a load response factor 0 and a U sw1tching process H(t), which depends...

  9. Market-Based Incentives for Green Building Alternatives K.R. Grosskopf, Ph.D.1

    E-Print Network [OSTI]

    Hill, Jeffrey E.

    be addressed. Key Words Best management practices (BMPs), demand-side management, externalities, rebates

  10. Implementing and managing a DSM program: Central Hudson`s dollar $avers commercial/industrial rebate program

    SciTech Connect (OSTI)

    Voltz, M.F.

    1996-01-01

    Demand-Side Management (DSM) program managers at utilities throughout the United States are faced with the challenge of achieving DSM goals while minimizing program costs in order to mitigate rate impacts. Many utilities are also allowed to earn a shareholder equity incentive based upon the cost effectiveness of DSM programs (shared savings type incentive). Program goals must be achieved in a market which is constantly evolving. This paper presents Central Hudson Gas & Electric Corporations`s experience over the past 4 years implementing and managing a commercial industrial (C/I) efficient lighting rebate program which has been marketed as the Dollar $avers Lighting rebate program.

  11. Discover the smart side of

    E-Print Network [OSTI]

    Lebendiker, Mario

    Discover the smart side of process economics EshmunoTM ­ The smart resin #12;2 EshmunoTM ­ The smart resin Passion for performance The biopharmaceutical production has matured. Today the main focus of monoclonal antibodies; The cation exchanger EshmunoTM S is the first product of the EshmunoTM family of smart

  12. Demand Response Spinning Reserve Demonstration

    E-Print Network [OSTI]

    2007-01-01

    using existing utility load-management assets can provide anhow existing utility load-management assets can provide anshow how a traditional utility load-management asset can be

  13. Seasonality in air transportation demand

    E-Print Network [OSTI]

    Reichard Megwinoff, H?tor Nicolas

    1988-01-01

    This thesis investigates the seasonality of demand in air transportation. It presents three methods for computing seasonal indices. One of these methods, the Periodic Average Method, is selected as the most appropriate for ...

  14. Full Rank Rational Demand Systems

    E-Print Network [OSTI]

    LaFrance, Jeffrey T; Pope, Rulon D.

    2006-01-01

    Dover Publications 1972. Barnett, W.A. and Y.W. Lee. “TheEconometrica 53 (1985): 1421- Barnett, W.A. , Lee, Y.W. ,Laurent demand systems (Barnett and Lee 1985; Barnett, Lee,

  15. Residential Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

  16. Load Reduction, Demand Response and Energy Efficient Technologies and Strategies

    SciTech Connect (OSTI)

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

    2008-11-19

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

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

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01

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

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

    E-Print Network [OSTI]

    Mares, K.C.

    2010-01-01

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

  19. California’s Energy Future: The View to 2050 - Summary Report

    E-Print Network [OSTI]

    Yang, Christopher

    2011-01-01

    plants. Although some demand-side management is currently intime-of-use demand side management is only in development.portrait for 2050. Demand Side Management Commercial-scale

  20. Strategic Pricing and Resource Allocation: Framework and Applications

    E-Print Network [OSTI]

    Ren, Shaolei

    2012-01-01

    Garcia, “Autonomous demand side management based on game-treating pricing-based demand-side management and the systemdesigning the demand-side management and data center opera-

  1. Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards

    E-Print Network [OSTI]

    Satchwell, Andrew

    2013-01-01

    As-Usual; DSM=Demand Side Management; EE=Energy Efficiency;of the demand side management (DSM) portfolio – projectedshareholder returns. 11 4.2 Demand side management portfolio

  2. Public Versus Private: Does It Matter for Water Conservation? Insights from California

    E-Print Network [OSTI]

    Kallis, Giorgos; Ray, Isha; Fulton, Julian; McMahon, James E.

    2010-01-01

    Do residential water demand side management policies measurethe ef?- cacy of demand-side management policies in times of1994). As with the demand-side management literature cited

  3. DSM Electricity Savings Potential in the Buildings Sector in APP Countries

    E-Print Network [OSTI]

    McNeil, MIchael

    2011-01-01

    Barriers to Utility Demand-Side Management in Canada”,and Policy Can Deliver Demand-Side Management Benefits to aEnergy Group, 2005. “Demand-Side Management (DSM) in the

  4. California's Energy Future - The View to 2050

    E-Print Network [OSTI]

    2011-01-01

    plants. Although some demand-side management is currently intime-of-use demand side management is only in development.portrait for 2050. Demand Side Management Commercial-scale

  5. Optimal Demand Response and Power Flow

    E-Print Network [OSTI]

    Willett, Rebecca

    Optimal Demand Response and Power Flow Steven Low Computing + Math Sciences Electrical Engineering #12;Outline Optimal demand response n With L. Chen, L. Jiang, N. Li Optimal power flow n With S. Bose;Optimal demand response Model Results n Uncorrelated demand: distributed alg n Correlated demand

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

    E-Print Network [OSTI]

    Machold, W. D.

    1994-01-01

    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.

  7. The Photovoltaic Crisis and the Demand-side Generation in Spain

    E-Print Network [OSTI]

    Mir-Artigues, Pere

    2013-03-01

    by hydro sources, cogeneration and renewable technologies was issued. These generators would receive a monthly payment based on plant capacity and a (small) price for kWh delivered.1 Initial values of both prices were fixed in the article 14. They would... renewable sources, cogeneration and power production from urban solid wastes (only for plants up to 50 MW). It also established preferential prices 1 Distribution companies were obliged to buy...

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

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterestedReplacement-2-A Wholesale Power Rate ScheduleSHERMANDepartment of Energy|

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices, SalesMoroccoTurkeyTexas-Louisiana-Author:The

  10. Open Automated Demand Response Communications Specification (Version 1.0)

    SciTech Connect (OSTI)

    Piette, Mary Ann; Ghatikar, Girish; Kiliccote, Sila; Koch, Ed; Hennage, Dan; Palensky, Peter; McParland, Charles

    2009-02-28

    The development of the Open Automated Demand Response Communications Specification, also known as OpenADR or Open Auto-DR, began in 2002 following the California electricity crisis. The work has been carried out by the Demand Response Research Center (DRRC), which is managed by Lawrence Berkeley National Laboratory. This specification describes an open standards-based communications data model designed to facilitate sending and receiving demand response price and reliability signals from a utility or Independent System Operator to electric customers. OpenADR is one element of the Smart Grid information and communications technologies that are being developed to improve optimization between electric supply and demand. The intention of the open automated demand response communications data model is to provide interoperable signals to building and industrial control systems that are preprogrammed to take action based on a demand response signal, enabling a demand response event to be fully automated, with no manual intervention. The OpenADR specification is a flexible infrastructure to facilitate common information exchange between the utility or Independent System Operator and end-use participants. The concept of an open specification is intended to allow anyone to implement the signaling systems, the automation server or the automation clients.

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

    E-Print Network [OSTI]

    Lekov, Alex

    2010-01-01

    2005). "Energy Demand in Sludge Dewatering." Water Researchand F. Bloetscher (1999). "Sludge Management, Processing,manufacturers can also use sludge and wastewater generated

  12. Demand Controlled Ventilation and Classroom Ventilation

    E-Print Network [OSTI]

    Fisk, William J.

    2014-01-01

    zone level that has an air?side  economizer if the design systems has an air?side  economizer which provides up to volume systems have air side economizers as required by the 

  13. Demand Response as a System Reliability Resource

    E-Print Network [OSTI]

    Joseph, Eto

    2014-01-01

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

  14. Scenario Analysis of Peak Demand Savings for Commercial Buildings with

    E-Print Network [OSTI]

    side, a set of electricity rates are used to evaluate the impact of the DR strategies on economic response (DR) is a process of managing customer consumption of electricity in response to supply conditions to reduce electricity costs or improve electrical system reliability. Generally, DR refers to mechanisms

  15. Greater fuel diversity needed to meet growing US electricity demand

    SciTech Connect (OSTI)

    Burt, B.; Mullins, S.

    2008-01-15

    Electricity demand is growing in the USA. One way to manage the uncertainty is to diversity fuel sources. Fuel sources include coal, natural gas, nuclear and renewable energy sources. Tables show actual and planned generation projects by fuel types. 1 fig., 2 tabs.

  16. Generating Demand for Multifamily Building Upgrades | Department...

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

    Generating Demand for Multifamily Building Upgrades Generating Demand for Multifamily Building Upgrades Better Buildings Residential Network Peer Exchange Call Series: Generating...

  17. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    demand response: ? Distribution utility ? ISO ? Aggregator (demand response less obstructive and inconvenient for the customer (particularly if DR resources are aggregated by a load aggregator).

  18. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01

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

  19. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    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

  20. Supply chain planning decisions under demand uncertainty

    E-Print Network [OSTI]

    Huang, Yanfeng Anna

    2008-01-01

    Sales and operational planning that incorporates unconstrained demand forecasts has been expected to improve long term corporate profitability. Companies are considering such unconstrained demand forecasts in their decisions ...

  1. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    > B-2 Coordination of Energy Efficiency and Demand Response> B-4 Coordination of Energy Efficiency and Demand Responseand integration is: Energy efficiency, energy conservation,

  2. Generating Demand for Multifamily Building Upgrades | Department...

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

    Generating Demand for Multifamily Building Upgrades Generating Demand for Multifamily Building Upgrades May 14, 2015 12:30PM to 2:00PM EDT Learn more...

  3. 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

  4. Turkey's energy demand and supply

    SciTech Connect (OSTI)

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

    2009-07-01

    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.

  5. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1992-04-01

    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.

  6. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    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.

  7. Demand Response and Energy Efficiency 

    E-Print Network [OSTI]

    2009-01-01

    stream_source_info ESL-IC-09-11-05.pdf.txt stream_content_type text/plain stream_size 14615 Content-Encoding ISO-8859-1 stream_name ESL-IC-09-11-05.pdf.txt Content-Type text/plain; charset=ISO-8859-1 Demand Response... 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...

  8. California's Energy Future - The View to 2050

    E-Print Network [OSTI]

    2011-01-01

    widespread residential time-of-use demand side management isCAES Residential time-of-use demand-side management Table

  9. California’s Energy Future: The View to 2050 - Summary Report

    E-Print Network [OSTI]

    Yang, Christopher

    2011-01-01

    widespread residential time-of-use demand side management isCAES Residential time-of-use demand-side management Table

  10. Revelation on Demand Nicolas Anciaux

    E-Print Network [OSTI]

    is willing to reveal the aggregate response (according to his company's policy) to the customer dataRevelation on Demand Nicolas Anciaux 1 · Mehdi Benzine1,2 · Luc Bouganim1 · Philippe Pucheral1 time to support epidemiological studies. In these and many other situations, aggregate data or partial

  11. Demand Response Providing Ancillary Services

    E-Print Network [OSTI]

    1 Demand Response Providing Ancillary Services: A Comparison of Opportunities and Challenges in US to operate (likely price takers) ­ Statistical reliability (property of large aggregations of small resources size based on Mid-Atlantic Reserve Zone #12;Market Rules: Resource Size Min. Size (MW) Aggregation

  12. Projecting Electricity Demand in 2050

    SciTech Connect (OSTI)

    Hostick, Donna J.; Belzer, David B.; Hadley, Stanton W.; Markel, Tony; Marnay, Chris; Kintner-Meyer, Michael CW

    2014-07-01

    This paper describes the development of end-use electricity projections and load curves that were developed for the Renewable Electricity (RE) Futures Study (hereafter RE Futures), which explored the prospect of higher percentages (30% ? 90%) of total electricity generation that could be supplied by renewable sources in the United States. As input to RE Futures, two projections of electricity demand were produced representing reasonable upper and lower bounds of electricity demand out to 2050. The electric sector models used in RE Futures required underlying load profiles, so RE Futures also produced load profile data in two formats: 8760 hourly data for the year 2050 for the GridView model, and in 2-year increments for 17 time slices as input to the Regional Energy Deployment System (ReEDS) model. The process for developing demand projections and load profiles involved three steps: discussion regarding the scenario approach and general assumptions, literature reviews to determine readily available data, and development of the demand curves and load profiles.

  13. On-demand data broadcasting 

    E-Print Network [OSTI]

    Kothandaraman, Kannan

    1998-01-01

    related to on-demand data broadcasting. We look at the problem of data broadcasting in an environment where clients make explicit requests to the server. The server broadcasts requested data items to all the clients, including those who have not requested...

  14. Promising Technology: Demand Control Ventilation

    Broader source: Energy.gov [DOE]

    Demand control ventilation (DCV) measures carbon dioxide concentrations in return air or other strategies to measure occupancy, and accurately matches the ventilation requirement. This system reduces ventilation when spaces are vacant or at lower than peak occupancy. When ventilation is reduced, energy savings are accrued because it is not necessary to heat, cool, or dehumidify as much outside air.

  15. Effects of the drought on California electricity supply and demand

    E-Print Network [OSTI]

    Benenson, P.

    2010-01-01

    DEMAND . . . .Demand for Electricity and Power PeakDemand . . • . . ELECTRICITY REQUIREMENTS FOR AGRICULTUREResults . . Coriclusions ELECTRICITY SUPPLY Hydroelectric

  16. Automated Demand Response Opportunities in Wastewater Treatment Facilities

    E-Print Network [OSTI]

    Thompson, Lisa

    2008-01-01

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

  17. Northwest Open Automated Demand Response Technology Demonstration Project

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01

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

  18. Opportunities, Barriers and Actions for Industrial Demand Response in California

    E-Print Network [OSTI]

    McKane, Aimee T.

    2009-01-01

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

  19. Incorporating Demand Response into Western Interconnection Transmission Planning

    E-Print Network [OSTI]

    Satchwell, Andrew

    2014-01-01

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

  20. Assessment of Demand Response and Advanced Metering

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    #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

  1. Demand Response in the West: Lessons for States and Provinces

    SciTech Connect (OSTI)

    Douglas C. Larson; Matt Lowry; Sharon Irwin

    2004-06-29

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

  2. Energy Demands and Efficiency Strategies in Data Center Buildings

    E-Print Network [OSTI]

    Shehabi, Arman

    2010-01-01

    savings than air-side economizers, though the difference inair-side economizer..traditional (air-side) economizers. Water-side economizers

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

    SciTech Connect (OSTI)

    Kiliccote, Sila; Piette, Mary Ann; Ghatikar, Girish; Koch, Ed; Hennage, Dan; Hernandez, John; Chiu, Albert; Sezgen, Osman; Goodin, John

    2009-11-06

    The Pacific Gas and Electric Company (PG&E) is conducting a pilot program to investigate the technical feasibility of bidding certain demand response (DR) resources into the California Independent System Operator's (CAISO) day-ahead market for ancillary services nonspinning reserve. Three facilities, a retail store, a local government office building, and a bakery, are recruited into the pilot program. For each facility, hourly demand, and load curtailment potential are forecasted two days ahead and submitted to the CAISO the day before the operation as an available resource. These DR resources are optimized against all other generation resources in the CAISO ancillary service. Each facility is equipped with four-second real time telemetry equipment to ensure resource accountability and visibility to CAISO operators. When CAISO requests DR resources, PG&E's OpenADR (Open Automated DR) communications infrastructure is utilized to deliver DR signals to the facilities energy management and control systems (EMCS). The pre-programmed DR strategies are triggered without a human in the loop. This paper describes the automated system architecture and the flow of information to trigger and monitor the performance of the DR events. We outline the DR strategies at each of the participating facilities. At one site a real time electric measurement feedback loop is implemented to assure the delivery of CAISO dispatched demand reductions. Finally, we present results from each of the facilities and discuss findings.

  4. Large-Scale Integration of Deferrable Demand and Renewable Energy Sources

    E-Print Network [OSTI]

    Oren, Shmuel S.

    . Index Terms--Wind power generation, load management, power generation scheduling. I. INTRODUCTION on power system operations it is necessary to represent the balancing operations of the remaining grid and deferrable demand in power systems in terms of reserve requirements. We analyze three demand response

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

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Climate change mitigation and co-benefits of feasible transport demand policies in Beijing Felix i n f o Keywords: Climate change mitigation Transport demand management External costs Urban transportation Road charging a b s t r a c t Urban car transportation is a cause of climate change but is also

  6. 1822 IEEE TRANSACTIONS ON SMART GRID, VOL. 3, NO. 4, DECEMBER 2012 Real-Time Price-Based Demand Response

    E-Print Network [OSTI]

    Fu, Yong

    , real-time price-based demand response management, residential appli- ances, robust optimization1822 IEEE TRANSACTIONS ON SMART GRID, VOL. 3, NO. 4, DECEMBER 2012 Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization Zhi Chen

  7. Influence of Attic Radiant Barrier Systems on Air Conditioning Demand in an Utility Pilot Project 

    E-Print Network [OSTI]

    Parker, D. S.; Sherwin, J. R.

    2002-01-01

    A utility monitoring project has evaluated radiant barrier systems (RBS) as a new potential demand site management (DSM) program. The study examined how the retrofit of attic radiant barriers can be expected to alter utility residential space...

  8. Bioenergy Demand in a Market Driven Forest Economy (U.S. South)

    Broader source: Energy.gov [DOE]

    Breakout Session 1A: Biomass Feedstocks for the Bioeconomy Bioenergy Demand in a Market Driven Forest Economy (U.S. South) Robert C. Abt, Professor of Natural Resource Economics and Management, North Carolina State University

  9. A Design Guide for Early-Market Electrochromic Windows

    E-Print Network [OSTI]

    2006-01-01

    Myser. 2002. “Active Load Management with Advanced WindowEnables active load management, demand side management andDeveloping active load management and demand responsive

  10. The Pacific Northwest Demand Response Market Demonstration

    SciTech Connect (OSTI)

    Chassin, David P.; Hammerstrom, Donald J.; DeSteese, John G.

    2008-07-20

    This paper describes the implementation and results of a field demonstration wherein residential electric water heaters and thermostats, commercial building space conditioning, municipal water pump loads, and several distributed generators were coordinated to manage constrained feeder electrical distribution through the two-way communication of load status and electric price signals. The field demonstration took place in Washington and Oregon and was paid for by the U.S. Department of Energy and several northwest utilities. Price is found to be an effective control signal for managing transmission or distribution congestion. Real-time signals at 5-minute intervals are shown to shift controlled load in time. The behaviors of customers and their responses under fixed, time-ofuse, and real-time price contracts are compared. Peak loads are effectively reduced on the experimental feeder. A novel application of portfolio theory is applied to the selection of an optimal mix of customer contract types. Index Terms—demand response, power markets, retail markets, distribution automation, distributed resources, load control.

  11. Trends Affecting Building Control System Development: Trends in Energy Management Technology

    E-Print Network [OSTI]

    Collins, Ted; Parker, Steven A.; Webster, Tom

    2002-01-01

    Peak Demand with Energy Management Control Systems. ” WCDSR-of Energy’s Federal Energy Management Program (FEMP) isBCS) Development Trends in energy management technology

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

    E-Print Network [OSTI]

    Mares, K.C.

    2010-01-01

    consolidated. 9 Water or air-side economizers can be used inAnalysis for Water or Air-Side Economizers) discusses thisfor water or air-side economizers, power delivery systems,

  13. Demand Response Performance of GE Hybrid Heat Pump Water Heater

    SciTech Connect (OSTI)

    Widder, Sarah H.; Parker, Graham B.; Petersen, Joseph M.; Baechler, Michael C.

    2013-07-01

    This report describes a project to evaluate and document the DR performance of HPWH as compared to ERWH for two primary types of DR events: peak curtailments and balancing reserves. The experiments were conducted with GE second-generation “Brillion”-enabled GeoSpring hybrid water heaters in the PNNL Lab Homes, with one GE GeoSpring water heater operating in “Standard” electric resistance mode to represent the baseline and one GE GeoSpring water heater operating in “Heat Pump” mode to provide the comparison to heat pump-only demand response. It is expected that “Hybrid” DR performance, which would engage both the heat pump and electric elements, could be interpolated from these two experimental extremes. Signals were sent simultaneously to the two water heaters in the side-by-side PNNL Lab Homes under highly controlled, simulated occupancy conditions. This report presents the results of the evaluation, which documents the demand-response capability of the GE GeoSpring HPWH for peak load reduction and regulation services. The sections describe the experimental protocol and test apparatus used to collect data, present the baselining procedure, discuss the results of the simulated DR events for the HPWH and ERWH, and synthesize key conclusions based on the collected data.

  14. Exposing strategic assets to create new competencies: The case of technological acquisition in the waste management industry in Europe and North America

    E-Print Network [OSTI]

    Delmas, MA

    1999-01-01

    International Journal of Technology Management, 12, 769–786.for You? ,’ Research-Technology Management, 32(4), 11–13.demand for waste management technologies. Waste management

  15. STEO December 2012 - coal demand

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultidayAlumni > The2/01/12 Page 1NEWSSupportcoal demand seen below

  16. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    Questions: Integrated Energy Management. energy information system energy management controlsystem energy management system U.S. Environmental

  17. Scaling Microblogging Services with Divergent Traffic Demands

    E-Print Network [OSTI]

    Fu, Xiaoming

    Scaling Microblogging Services with Divergent Traffic Demands Tianyin Xu, Yang Chen, Lei Jiao, Ben-server architecture has not scaled with user demands, lead- ing to server overload and significant impairment

  18. REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022

    E-Print Network [OSTI]

    relatively high economic/demographic growth, relatively low electricity and natural gas rates REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 2: Electricity Demand by Utility OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION Robert P

  19. CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST

    E-Print Network [OSTI]

    incorporates relatively high economic/demographic growth, relatively low electricity and natural gas rates CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST Volume 2: Electricity Demand Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION Robert P. Oglesby Executive

  20. CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST

    E-Print Network [OSTI]

    incorporates relatively high economic/demographic growth, relatively low electricity and natural gas rates CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 2: Electricity Demand OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION Robert P

  1. Solar in Demand | Department of Energy

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

    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...

  2. Demand Effects in Productivity and Efficiency Analysis 

    E-Print Network [OSTI]

    Lee, Chia-Yen

    2012-07-16

    Demand fluctuations will bias the measurement of productivity and efficiency. This dissertation described three ways to characterize the effect of demand fluctuations. First, a two-dimensional efficiency decomposition (2DED) of profitability...

  3. Industrial Equipment Demand and Duty Factors 

    E-Print Network [OSTI]

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

    1998-01-01

    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 ...

  4. Coordination of Energy Efficiency and Demand Response

    SciTech Connect (OSTI)

    none,

    2010-01-01

    Summarizes existing research and discusses current practices, opportunities, and barriers to coordinating energy efficiency and demand response programs.

  5. Demand Response Valuation Frameworks Paper

    SciTech Connect (OSTI)

    Heffner, Grayson

    2009-02-01

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

  6. Demand Queries with Preprocessing Uriel Feige

    E-Print Network [OSTI]

    Demand Queries with Preprocessing Uriel Feige and Shlomo Jozeph May 1, 2014 )>IJH=?J Given a set of items and a submodular set-function f that determines the value of every subset of items, a demand query, the value of S minus its price. The use of demand queries is well motivated in the context of com

  7. DemandDriven Pointer Analysis Nevin Heintze

    E-Print Network [OSTI]

    Tardieu, Olivier

    Demand­Driven Pointer Analysis Nevin Heintze Research, Agere Systems (formerly Lucent Technologies analysis of a pro­ gram or program component. In this paper we introduce a demand­driven approach for pointer analysis. Specifically, we describe a demand­driven flow­insensitive, subset­based, context

  8. APPLICATION-FORM DEMANDED'ADMISSION

    E-Print Network [OSTI]

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

  9. Airline Pilot Demand Projections What this is-

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    60 Mobile applications constantly demand additional memory, and traditional designs increase but also e-mail, Internet access, digital camera features, and video on demand. With feature expansion demanding additional storage and memory in all com- puting devices, DRAM and flash memory densities

  10. Algorithms Demands and Bounds Applications of Flow

    E-Print Network [OSTI]

    Kabanets, Valentine

    2/28/2014 1 Algorithms ­ Demands and Bounds Applications of Flow Networks Design and Analysis of Algorithms Andrei Bulatov Algorithms ­ Demands and Bounds 12-2 Lower Bounds The problem can be generalized) capacities (ii) demands (iii) lower bounds A circulation f is feasible if (Capacity condition) For each e E

  11. Adapton: Composable, Demand-Driven Incremental Computation

    E-Print Network [OSTI]

    Hicks, Michael

    Adapton: Composable, Demand-Driven Incremental Computation CS-TR-5027 -- July 12, 2013 Matthew A demands on the program output; that is, if a program input changes, all depen- dencies will be recomputed. To address these problems, we present cdd ic , a core calculus that applies a demand-driven seman- tics

  12. Pricing Cloud Bandwidth Reservations under Demand Uncertainty

    E-Print Network [OSTI]

    Li, Baochun

    Heap Assumptions on Demand Andreas Podelski1 , Andrey Rybalchenko2 , and Thomas Wies1 1 University analysis produces heap assumptions on demand to eliminate counterexamples, i.e., non-terminating abstract of a non-terminating abstract computation, i.e., it applies shape analysis on demand. The shape analysis

  13. Demand And Response Transportation Rider's Guide

    E-Print Network [OSTI]

    Acton, Scott

    Demand And Response Transportation Rider's Guide http://www.virginia.edu/parking/disabilities/dart Version 14.5 (8/13/14) Welcome DART Rider: The Demand and Response Transportation (DART) Service rides: #12;Demand And Response Transportation Rider's Guide http

  14. Scaling Microblogging Services with Divergent Traffic Demands

    E-Print Network [OSTI]

    Almeroth, Kevin C.

    Scaling Microblogging Services with Divergent Traffic Demands Tianyin Xu1 , Yang Chen1 , Lei Jiao1 client-server architecture has not scaled with user demands, leading to server overload and significant #12;Scaling Microblogging Services with Divergent Traffic Demands 21 producing effective predictions

  15. Demande de diplmes NOM,Prnom : ......................................................................................................................

    E-Print Network [OSTI]

    Chamroukhi, Faicel

    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 the aggregate demand. Hence optimal supply procurement by the LSE and the consumption decisions by the users

  16. Precision On Demand: An Improvement in Probabilistic

    E-Print Network [OSTI]

    Precision On Demand: An Improvement in Probabilistic Hashing Igor Melatti, Robert Palmer approach Precision on Demand or POD). #12;This paper provides a scientific evaluation of the pros and cons time likely to increase by a factor of 1.8 or less. #12;Precision On Demand: An Improvement

  17. ADAPTON: Composable, Demand-Driven Incremental Computation

    E-Print Network [OSTI]

    Hicks, Michael

    ADAPTON: Composable, Demand- Driven Incremental Computation Abstract Many researchers have proposed important drawbacks. First, recomputation is oblivious to specific demands on the program output; that is ic , a core calculus that applies a demand-driven semantics to incremental computa- tion, tracking

  18. Constructing Speculative Demand Functions in Equilibrium Markets

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    On the Convergence of Statistical Techniques for Inferring Network Traffic Demands Alberto Medina1 of traffic demands in a communication net- work enables or enhances a variety of traffic engineering and net set of these demands is prohibitively expensive because of the huge amounts of data that must

  19. Heap Assumptions on Demand Andreas Podelski1

    E-Print Network [OSTI]

    Wies, Thomas

    Heap Assumptions on Demand Andreas Podelski1 , Andrey Rybalchenko2 , and Thomas Wies1 1 University checker and shape analysis. The shape analysis pro- duces heap assumptions on demand to eliminate.e., it applies shape analysis on demand. The shape analysis produces a heap assumption, which is an assertion

  20. Appeld'offrespublic Demanded'approvisionnement

    E-Print Network [OSTI]

    Montréal, Université de

    ATM for Video and Audio on Demand David Greaves. University of Cambridge and ATM Ltd. email: djg fast, particularly for video- on-demand. These digital streams require constant-rate digi- tal channels of the Cambridge Digital Interactive Television Trial, where Video and Audio on demand are transported to the Home