Sample records for demand side management

  1. Marketing Demand-Side Management

    E-Print Network [OSTI]

    O'Neill, M. L.

    1988-01-01T23:59:59.000Z

    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. Demand Side Management in Rangan Banerjee

    E-Print Network [OSTI]

    Banerjee, Rangan

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

  3. Industrial Demand-Side Management in Texas

    E-Print Network [OSTI]

    Jaussaud, D.

    of programs result in lower consumption and/or lower peak demand, and ultimately reduce the need to build new capacity. Hence demand-side management can be used as a resource option to be considered alongside more traditional supply-side resources in a...INDUSTRIAL DEMAND-SIDE MANAGEMENT IN TEXAS Danielle Jaussaud Economic Analysis Section Public Utility Commission of Texas Austin, Texas ABSTRACT The industrial sector in Texas is highly energy intensive and represents a large share...

  4. Real-Time Demand Side Energy Management

    E-Print Network [OSTI]

    Victor, A.; Brodkorb, M.

    2006-01-01T23:59:59.000Z

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

  5. Micro economics for demand-side management

    E-Print Network [OSTI]

    Kibune, Hisao

    1991-01-01T23:59:59.000Z

    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 ...

  6. Demand-Side Management and Energy Efficiency Revisited

    E-Print Network [OSTI]

    Auffhammer, Maximilian; Blumstein, Carl; Fowlie, Meredith

    2007-01-01T23:59:59.000Z

    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

  7. Industrial demand side management: A status report

    SciTech Connect (OSTI)

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

    1995-05-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Soni, Jayantika; Krishnanand, KR; Panda, Sanjib

    2014-01-01T23:59:59.000Z

    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

  9. Incentives for demand-side management

    SciTech Connect (OSTI)

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

    1992-01-01T23:59:59.000Z

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

  10. Incentives for demand-side management

    SciTech Connect (OSTI)

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

    1992-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Boutaba, Raouf

    Near Optimal Demand-Side Energy Management Under Real-time Demand-Response Pricing Jin Xiao, Jae--In this paper, we present demand-side energy manage- ment under real-time demand-response pricing as a task, demand-response, energy management I. INTRODUCTION The growing awareness of global climate change has

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

    SciTech Connect (OSTI)

    NONE

    1995-07-01T23:59:59.000Z

    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.

  13. Emerging Technologies for Industrial Demand-Side Management

    E-Print Network [OSTI]

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

    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...

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

    E-Print Network [OSTI]

    Soni, Jayantika; Krishnanand, KR; Panda, Sanjib

    2014-01-01T23:59:59.000Z

    Load-side Demand Management in Buildings using Controlleddemand side management has been a keen topic of interest. Buildings,

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

    E-Print Network [OSTI]

    Harper, Meg

    2014-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

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

    2003-01-01T23:59:59.000Z

    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...

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

    SciTech Connect (OSTI)

    NONE

    1997-01-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    NONE

    1997-12-01T23:59:59.000Z

    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.

  19. US electric utility demand-side management, 1994

    SciTech Connect (OSTI)

    NONE

    1995-12-26T23:59:59.000Z

    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.

  20. Emerging Technologies for Industrial Demand-Side Management 

    E-Print Network [OSTI]

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

    1993-01-01T23:59:59.000Z

    as demand-side management strategies for industrial consumers of electricity. An alternative strategy to replacing aging electric motors with high efficiency or ASD motors is a turbine let-down. A turbine letdown is a turbine which uses pressure reduction...

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

    E-Print Network [OSTI]

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

    DEMAND SIDE MANAGEMENT (DSM) TIIROUGH ABSORPTION REFRIGERATION SYSTEMS Peter Y. Chao, PhD, Deepak Shukla, PhD, Sr. Process Engineers, TENSA Services, Inc. Ammi Amarnath, Sr. Project Manager, Electrical Power Research Institute Ed. Mergens.... They are Peak Clipping, Valley filling, Load Shifting, Strategic Conservation, Strategic Load Growth, and Flexible Load Shaping. Absorption Refrigeration from waste heat offers a viable option for DSM. This will either reduce the peak load (peak clipping...

  2. 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 of appliance specific adapters. Designed and implemented GHS Modeled the demand-side energy management problem (NP-hard) Designed a scheduling algorithm for demand side energy management Showed that our

  3. 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 of Environmental Studies) Departmental Member For energy utilities faced with expanded jurisdictional energy

  4. 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

  5. Photovoltaics for demand-side management: Opportunities for early commercialization

    SciTech Connect (OSTI)

    Byrne, J.; Letendre, S.; Govindarajalu, C.; Wang, Y.D. [Univ. of Delaware, Newark, DE (United States). Center for Energy and Environmental Policy; Nigro, R. [Delmarva Power, Newark, DE (United States); Wallace, W. [National Renewable Energy Lab., Golden, CO (United States)

    1995-10-01T23:59:59.000Z

    Recently, interest in utilizing photovoltaics (PV) in a demand-side management (DSM) role has been increasing. Research has shown that many utilities across the US have a good match between peak loads and the availability of the solar resource. Maximum value for PV in DSM applications can be achieved by incorporating a dispatching capability to PV systems (through the addition of storage). This enables utilities to evaluate PV systems as a peak-shaving technology. To date, peak-shaving has been a high-value DSM application for US utilities. The authors analysis of the value of dispatchable PV-DSM systems indicates that small-scale, customer-sited systems are approaching competitive cost levels in several regions of the US that have favorable load matching and high demand charges. This paper presents the results of an economic analysis for high-value PV-DSM systems located in the service territories of five case study utilities. The results suggest that PV is closer to commercialization when viewed as a DSM technology relative to analyses that focus on the technology as a supply-side option.

  6. 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

  7. 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 distributed demand side energy management strategy requires each user to simply apply its best response-average ratio of the total energy demand, the total energy costs, as well as each user's individual daily

  8. Bounded decision making and analytical biases in demand side management

    SciTech Connect (OSTI)

    Janda, K.B.

    1994-08-01T23:59:59.000Z

    Demand side management (DSM) programs across the United States commonly approach barriers to energy efficiency through technical/economic means and evaluate their impact through technical/economic analysis. To the extent that non-technical barriers exist and influence decision making, they complicate the expected capture of savings. Two utility DSM projects -- Pacific Gas and Electric`s Advanced Customer Technology Test for Maximum Energy Efficiency (ACT{sup 2}) and Bonneville Power Administration`s Energy Edge -- serve as case studies to illustrate how non-technical barriers to specific energy-efficiency measures (EEMs) can limit technical conservation potential. An analysis of rejected EEMs suggest that lessons about non-technical barriers to specific energy-efficiency measures (EEMs) can limit technical conservation potential. An analysis of rejected EEMs suggests that lessons about non-technical barriers may be lost or obscured because of the predominant focus on technical/economic criteria over social, institutional, or cultural constraints. These findings support the need for different evaluation methodologies and further social science research devoted to understanding the non-technical barriers confronted by DSM project participants.

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

    E-Print Network [OSTI]

    Kleinhans, David

    2014-01-01T23:59:59.000Z

    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...

  10. 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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Abstract--Implementation of Distribution Automation (DA) and Demand Side Management (DSM) intended with differentiate QoS in a multitasking environment. I. INTRODUCTION ODERN society demands a reliable and high by the distribution utility for the security. REMPLI (Remote Energy Management over Power Lines and Internet) system

  12. Demand side management in India: Opportunities and challenges

    SciTech Connect (OSTI)

    Nezhad, H.G.; Mehta, J.V.

    1997-06-01T23:59:59.000Z

    India`s electricity demand has been growing by more than 8% per year over the last decade. However, despite the fact that more than 70% of its 130 million households do not have access to electricity, demand for electricity has outstripped supply resulting in frequent blackouts and routine brownouts. India`s per capita consumption of electricity is about 240 KWh compared to about 500 KWh in other developing countries and 7,000 KWh in developed nations. According to the Fifteenth Power Survey by Indian Ministry of Energy, per capita energy consumption is projected to grow at about 5.5% per year until 2020, when India`s population is projected to reach 1.2 billion people. Based on these projections, India will need a generating capacity of 450,000 MW in 2020, compared to the current capacity of about 80,000 MW. Considering rising costs, limited fuel supply, and shortages of capital for power plant construction, it is unlikely that projected capacity will be realized. The only viable option would be to utilize available power through intensive energy efficiency improvements and load management.

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

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    (DR) Reduce demand on operational level Energy Efficiency (EE) Permanently reduce power consumption Demand-Side Management (DSM) "Systematic utility and government activities designed to change the amount and/or timing of the customer's use of electricity for the collective benefit of the society

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

    E-Print Network [OSTI]

    Wong, Vincent

    meter. All smart meters are connected to not only the power grid but also a communication infrastructure. This allows two-way communication among smart meters and the utility company. We analytically model each user1 Advanced Demand Side Management for the Future Smart Grid Using Mechanism Design Pedram Samadi

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

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    $on of Renewables (Distributed) Co-genera$on of electricity and heat Storage Microgrids21 Mul$-scale Demand-Side Management for Con$nuous Power-intensive Processes Megan, Nikhil Arora #12;Facing the challenge of variability, the power grid

  16. 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 operating hours for the lights in each room a. Assign a usage category to each room in all buildings (e electrical usage and savings in room by room spreadsheet d. Subtotal savings by building

  17. 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 Works Association Research Foundation (AwwaRF) and building demographics for savings calculations 4-retrofit; calculate savings in room by room spreadsheet 5. Pre-retrofit (Process water audit) ­ Walk buildings

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

  19. The demand-side management program development process: A utility perspective

    SciTech Connect (OSTI)

    Wolfe, A.K. (Oak Ridge National Lab., TN (United States)); Yourstone, N.E. (Yourstone (Evelin), Albuquerque, NM (United States))

    1992-03-01T23:59:59.000Z

    This report describes an aspect of DSM that has received little attention, namely, how utilities develop DSM programs. The selection of utilities to study purposely was biased in favor of those with reputations for being experienced DSM program developers so as to optimize the chances to obtain detailed information. The DSM planning process is affected by organizational factors and external influences: (1) the location of the demand-side planning department within the utility; (2) the demand-side planning group's functional responsibilities; (3) upper management participation in the DSM program development process; and (4) the organizational relationship between (or, separation of) supply-side and demand-side planning. Organizational factors reflect utilities' views of DSM programs and thus can affect the adoption of a technology- or customer-oriented approach. Despite repeated claims of the uniqueness of the demand- side planning process and its resistance to standardization, two general approaches to program development were discerned, namely technology- or customer-orientation. Although utilities consider customer related and technological factors in their DSM program development process, utilities can be differentiated by their emphasis on one or the other approach. 25 refs.

  20. The demand-side management program development process: A utility perspective

    SciTech Connect (OSTI)

    Wolfe, A.K. [Oak Ridge National Lab., TN (United States); Yourstone, N.E. [Yourstone (Evelin), Albuquerque, NM (United States)

    1992-03-01T23:59:59.000Z

    This report describes an aspect of DSM that has received little attention, namely, how utilities develop DSM programs. The selection of utilities to study purposely was biased in favor of those with reputations for being experienced DSM program developers so as to optimize the chances to obtain detailed information. The DSM planning process is affected by organizational factors and external influences: (1) the location of the demand-side planning department within the utility; (2) the demand-side planning group`s functional responsibilities; (3) upper management participation in the DSM program development process; and (4) the organizational relationship between (or, separation of) supply-side and demand-side planning. Organizational factors reflect utilities` views of DSM programs and thus can affect the adoption of a technology- or customer-oriented approach. Despite repeated claims of the uniqueness of the demand- side planning process and its resistance to standardization, two general approaches to program development were discerned, namely technology- or customer-orientation. Although utilities consider customer related and technological factors in their DSM program development process, utilities can be differentiated by their emphasis on one or the other approach. 25 refs.

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

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Electricity Demand-Side Management for an Energy Efficient Future in China: Technology Options Neufville Professor of Engineering Systems Chair, ESD Education Committee #12;2 #12;3 Electricity Demand-Side Management for an Energy Efficient Future in China: Technology Options and Policy Priorities By Chia

  2. Key issues in starting a successful Demand-Side Management program

    SciTech Connect (OSTI)

    Gettings, L.K.

    1995-06-01T23:59:59.000Z

    From the perspective of an Energy Services Company (ESCO), this paper discusses several of the key issues involved in insuring a successful Demand Side Management (DSM) program. The paper focuses specifically on the need for demand side alternatives to capacity needs and the market and customer issues that effect the ultimate success of DSM programs. Among the issues discussed, an environment that is conducive to fostering and maintaining DSM is argued to be the fostering and maintaining DSM is argued to be the primary element necessary for prosperous DSM, and several aspects of the business of the local utility and the potential host customers make up the underlying components that will, if they are in place, make up the environment that will enable it to exist.

  3. The strategic use of renewables to achieve demand-side management impact

    SciTech Connect (OSTI)

    Carlisle, N.; Hauser, S.; Potter, T.; Westby, R.

    1992-11-01T23:59:59.000Z

    According to both the Electric Power Research Institute (EPRI) and the Edison Electric Institute (EEI), utilities in the United States are now spending about $2 billion per year on demand-side management (DSM) activities. By the year 2000, EPRI and EEI predict that utilities will be spending $10 to $15 billion per year on DSM. If this expenditure is matched by consumers, total expenditures -- $30 billion a year -- will equal what the nation spent on power plant construction during the peak 1970s power plant building era. Historically, DSM programs at utilities utilize technologies that reduce the demand for electricity and energy used by their customers. This is accomplished primarily by increasing the efficacy of lighting, improving the conversion efficiency of heating, cooling, and process equipment, and reducing thermal losses through the building envelope. A broader definition of DSM -- one that incorporates renewable energy resources -- will greatly enhance the opportunity to impact customer loads. Renewable energy technologies use resources that are not depleted, such as heat and light from the sun, the force of winds, falling water, biomass, and geothermal heat from the earth. As related to utility systems, renewable technologies can contribute in three main ways: (1) the more traditional ``supply-side`` role as central generating plants or independent power producers, (2) as distributed generation (supply-side variation), and (3) as demand-side options. Distributed generation is being seriously studied by several utilities as a means of serving remote loads and reducing transmission and distribution costs, but is not discussed further in this paper. Demand-side renewable technologies (DSR) are technologies that utilize renewable energy to reduce the end-use load of a customer. In this paper we will describe specific DSR options, characterize their potential load impact, and recommend a method for effectively integrating them into current DSM programs.

  4. 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.

    2012-09-01T23:59:59.000Z

    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.

  5. Photovoltaics for demand-side management utility markets: A utility/customer partnership approach

    SciTech Connect (OSTI)

    Byrne, J.; Letendre, S.; Govindarajalu, C.; Wang, Y.D. [Univ. of Delaware, Newark, DE (United States). Center for Energy and Environmental Policy; Nigro, R. [Delmarva Power and Light Co., Wilmington, DE (United States); Wallace, W. [National Renewable Energy Lab., Golden, CO (United States)

    1994-12-31T23:59:59.000Z

    Photovoltaic (PV) systems located at customer sites can be used to meet utility needs for demand-side management (DSM) applications. PV-DSM can also represent a high-value intermediate market for PV in the utility sector. Maximum value for PV in DSM applications can be achieved by incorporating a dispatching capability to PV systems (through the addition of storage). This enables utilities to evaluate PV systems as a peak-shaving technology. To date, peak-shaving has been the higher value DSM application for US utilities. This analysis of the value of dispatchable PV-DSM systems indicates that small-scale, customer-sited systems are approaching competitive cost levels in several regions of the US that have favorable load matching and peak demand pricing characteristics. This paper presents the results for PV-DSM systems located within the service territories of five case study utilities.

  6. 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.

    -side regarding power generation. Thermal Energy Storage (TES) can provide the flexibility essential to the economical management of power. In large industrial applications, the added value of TES has been demonstrated, not only in managing operating costs...

  7. BUILDINGS SECTOR DEMAND-SIDE EFFICIENCY TECHNOLOGY SUMMARIES

    E-Print Network [OSTI]

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

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

    SciTech Connect (OSTI)

    NONE

    1995-08-01T23:59:59.000Z

    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.

  9. Public involvement in integrated resource planning: A study of demand-side management collaboratives

    SciTech Connect (OSTI)

    Raab, J. (Raab (J.), Boston, MA (United States)); Schweitzer, M. (Oak Ridge National Lab., TN (United States))

    1992-02-01T23:59:59.000Z

    Many utilities and nonutility parties (NUPs) across the country have tried a new approach to reaching agreement on Demand-Side Management (DSM) program design and policy issues. Through this, which is called the DSM collaborative process, parties who have often been adversaries in the past attempt to reach consensus rather than using traditional litigation to resolve differences. We examined nine cases of DSM collaboration involving 24 utilities and approximately 50 NUPs in 10 states. This is the first comprehensive, in-depth review and assessment of collaboratives and it allows conclusions to be drawn about the collaborative process and the factors that contribute to successful efforts of this type. Collaboratives are described in terms of four major contextual and organizational characteristics: regulatory and legal history, parties involved and parties excluded, collaborative scope, and the collaborative process itself.

  10. Lessons learned in implementing a demand side management contract at the Presidio of San Francisco

    SciTech Connect (OSTI)

    Sartor, D.; Munn, M.

    1998-06-01T23:59:59.000Z

    The National Park Service (NSP) recently completed the implementation phase of its Power Saving Partners (PSP) Demand Side Management (DSM) contract with the local utility, Pacific Gas and Electric (PG&E). Through the DSM contract, NPS will receive approximately $4.1 million over eight years in payment for saving 61 kW of electrical demand, 179,000 km of electricity per year, and 1.1 million therms of natural gas per year. These payments are for two projects: the installation of high-efficiency lighting systems at the Thoreau Center for Sustainability and the replacement of an old central boiler plant with new, distributed boilers. Although these savings and payments are substantial, the electrical savings and contract payments fall well short of the projected 1,700 kW of electrical demand, 8 million kwh of annual electricity savings, and $11 million in payments, anticipated at the project's onset. Natural gas savings exceeded the initial forecast of 800,000 therms per year. The DSM contract payments did not meet expectations for a variety of reasons which fall into two broad categories: first, many anticipated projects were not constructed, and second, some of the projects that were constructed were not included in the program because the cost of implementing the DSM program's measurement and verification (M&V) requirements outweighed anticipated payments. This paper discusses the projects implemented, and examines the decisions made to withdraw some of them from the DSM contract. It also presents the savings that were realized and documented through M&V efforts. Finally, it makes suggestions relative to M&V protocols to encourage all efficiency measures, not just those that are easy to measure.

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

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    fulfilling the user's energy needs. The literature on DSM with smart pricing is extensive. One thread Side Management, Energy Consumption Scheduling, Co-existence, Fairness, Game Theory. I. INTRODUCTION the energy consumption at the consumer side of the meter [1]. One approach in DSM is direct load control (DLC

  12. Advanced monitoring technologies for the evaluation of demand-side management programs

    SciTech Connect (OSTI)

    De Almeida, A.T. [Coimbra Univ. (Portugal). Dept. of Electrical Engineering; Vine, E.L.

    1993-06-01T23:59:59.000Z

    This report was commissioned by the California Institute for Energy Efficiency as part of its research mission to advance the energy efficiency and productivity of all end-use sectors in California. The aim of this study is to provide an assessment of the state-of-the-art technologies that can be used for monitoring and evaluating demand-side management (DSM) programs. Additionally, the study points out research, development, and demonstration projects whose implementation can contribute to a more accurate and cost-effective evaluation of the performance of end-use technologies. During the past two decades, technology developments in the fields of microelectronics, computers and communications had a large impact on monitoring equipment. The improvements achieved led to the appearance of increasingly powerful, convenient to use, and flexible equipment, enabling a wider application of end-use metering at a lower cost. Equipment specifications are getting closer and closer to an ``ideal`` monitoring system: Good accuracy, high reliability, moderate cost, large number of monitored end uses, large data storage capacity, flexible communications, non-intrusiveness, powerful preprocessing of data. This report briefly examines the following techniques that can be used for end-use monitoring: field test equipment, general purpose data loggers, run-time data loggers, utility-oriented data loggers, energy management systems, two-way communication, power line carrier techniques, direct and distributed load control, and non-intrusive load monitoring. The report concludes with recommendations for developing new measurement technologies, as well as additional research and development activities to support these efforts.

  13. Overview of Demand Side Response

    Broader source: Energy.gov [DOE]

    Presentation—given at the Federal Utility Partnership Working Group (FUPWG) Fall 2008 meeting—discusses the utility PJM's demand side response (DSR) capabilities, including emergency and economic responses.

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

    SciTech Connect (OSTI)

    Not Available

    1992-03-01T23:59:59.000Z

    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.

  15. 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

    1 Abstract--Smart Grid technology appears necessary to succeed in activating the demand through recommendations regarding the instruments that should be implemented to maximize the benefits of smart grids by the European Union. The development of smart grids (SG) is a possible solution for achieving these goals [1

  16. Demand Side Bidding. Final Report

    SciTech Connect (OSTI)

    Spahn, Andrew

    2003-12-31T23:59:59.000Z

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

  17. Lessons learned from new construction utility demand side management programs and their implications for implementing building energy codes

    SciTech Connect (OSTI)

    Wise, B.K.; Hughes, K.R.; Danko, S.L.; Gilbride, T.L.

    1994-07-01T23:59:59.000Z

    This report was prepared for the US Department of Energy (DOE) Office of Codes and Standards by the Pacific Northwest Laboratory (PNL) through its Building Energy Standards Program (BESP). The purpose of this task was to identify demand-side management (DSM) strategies for new construction that utilities have adopted or developed to promote energy-efficient design and construction. PNL conducted a survey of utilities and used the information gathered to extrapolate lessons learned and to identify evolving trends in utility new-construction DSM programs. The ultimate goal of the task is to identify opportunities where states might work collaboratively with utilities to promote the adoption, implementation, and enforcement of energy-efficient building energy codes.

  18. Demand-Side Response from Industrial Loads

    SciTech Connect (OSTI)

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

    2013-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Kumar, Ratnesh

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

  20. 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

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

    SciTech Connect (OSTI)

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

    1995-03-01T23:59:59.000Z

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

  2. Demand Response Valuation Frameworks Paper

    E-Print Network [OSTI]

    Heffner, Grayson

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ECEEE 2005 SUMMER STUDY ­ WHAT WORKS & WHO DELIVERS? 183 1,202 Local energy efficiency and demand 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 renewable

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

    E-Print Network [OSTI]

    Cheng, Chia-Chin

    2005-01-01T23:59:59.000Z

    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 ...

  5. 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

  6. 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.

    2008-01-01T23:59:59.000Z

    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 states are investing in DSM...

  7. Decision-making in demand-side management collaboratives: The influence of non-utility parties on electric-utility policies and programs

    SciTech Connect (OSTI)

    Schweitzer, M. [Oak Ridge National Lab., TN (United States); English, M.; Schexnayder, S. [Univ. of Tennessee, Knoxville, TN (United States)] [and others

    1995-07-01T23:59:59.000Z

    Since the late 1980s, a number of electric utilities and interested non-utility parties (NUPs)-such as environmental groups, large industrial customers, and state government agencies-have tried a new approach to reaching agreement on program design and policy issues related to utility use of Demand-Side Management (DSM) resources. Through this new arrangement, known as the DSM collaborative process, parties who have often been adversaries attempt to resolve their differences through compromise and consensus rather than by using traditional litigation. This paper-which is based on studies of over a dozen collaboratives nationwide-discusses the organizational structure of collaboratives, the ways in which NUPs have been involved in the decision-making process, and how the amount of influence exerted by the NUPs is related to collaborative accomplishments. Most of the collaboratives studied had two organizational levels: a {open_quotes}working group{close_quotes} that provided policy direction and guidance for the collaborative and {open_quotes}subgroups{close_quotes} that performed the detailed tasks necessary to flesh out individual DSM programs. Most collaboratives also had a coordinator who was charged with scheduling meetings, exchanging information, and performing other important organizational functions, and it was common for the utility to fund consultants to provide expert assistance for the NUPs. In general, the utilities reserved the final decision-making prerogative for themselves, in line with their ultimate responsibility to shareholders, customers, and regulators. Still, there was substantial variation among the collaboratives in terms of how actively consensus was sought and how seriously the inputs of the NUPs were taken. In general, the collaboratives that resulted in the largest effects on utility DSM usage were those in which the utilities were most willing to allow their decisions to be shaped by the NUPs.

  8. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

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

  9. Demand Response: Load Management Programs 

    E-Print Network [OSTI]

    Simon, J.

    2012-01-01T23:59:59.000Z

    CenterPoint Load Management Programs CATEE Conference October, 2012 Agenda Outline I. General Demand Response Definition II. General Demand Response Program Rules III. CenterPoint Commercial Program IV. CenterPoint Residential Programs...

  10. Demand Response: Load Management Programs

    E-Print Network [OSTI]

    Simon, J.

    2012-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    DEMAND SIDE DISPATCHING, Part 2: AN INDUSTRIAL APPUCATION Ravi Nath Donald A. Cerget Edward T. Henderson Sr. Consultant Sr. Account Executive Sr. Engineer Linnhoff March, Inc. Detroit Edison Detroit Edison Houston, TX Detroit, M1 Detroit, M1...

  12. 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)

    NONE

    1995-04-01T23:59:59.000Z

    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.

  13. 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

    2008-01-01T23:59:59.000Z

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

  14. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01T23:59:59.000Z

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

  15. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    McKane, Aimee T.

    2009-01-01T23:59:59.000Z

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

  17. 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

    that affordable and available oil is becoming harder to obtain (Figure 2). Figure 2: World oil demand and prices); even offshore Newfoundland and Labrador (which meets about 26% of Atlantic Canada's crude oil demand As fuel oil prices rise, one can expect to see additional demand being put on the electrical system

  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.

    Abstract A key challenge in creating a sustainable and energy-efficient society is to make consumer demand propose a novel multiagent coordination algorithm, to shape the energy demand of the cooperativeJournal of Artificial Intelligence Research 50 (2014) 885-922 Submitted 4/14; published 8/14 Demand

  19. 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

  20. Managing Increased Charging Demand

    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 DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomyDr.Energy University Managing Increased Charging

  1. Paying for demand-side response at the wholesale level

    SciTech Connect (OSTI)

    Falk, Jonathan

    2010-11-15T23:59:59.000Z

    The recent FERC Notice of Public Rulemaking regarding the payment to demand-side resources in wholesale markets has engendered a great deal of comments including FERC's obligation to ensure just and reasonable rates in the wholesale market and criteria for what FERC should do (on grounds of economic efficiency) without any real focus on what that commitment would really mean if FERC actually pursued it. (author)

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

    E-Print Network [OSTI]

    Piette, Mary Ann; Kiliccote, Sila

    2006-01-01T23:59:59.000Z

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

  3. 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

    2007-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Michel, M.

    1989-01-01T23:59:59.000Z

    in num- ber. Wind and solar power hold promise for some day in the future, but they are generally not cost effective today with the exception of remote, off-grid locations. They are also not the most reliable forms of electrical genera- tion. One...- tion of new technologies and/or changes in be- havior. This is generally acceptable to regu- lators and provides a means for the utilities to meet their requirement to provide reliable service to their customer base. At the same time, demand side...

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

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy,Policy ActDetroit7471 FederalDonnaDraft3: Demand-Side Resources

  7. 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

    2006-01-01T23:59:59.000Z

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

  8. 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

  9. Opportunities and prospects for demand-side efficiency improvements

    SciTech Connect (OSTI)

    Kuliasha, M.A.

    1993-12-31T23:59:59.000Z

    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.

  10. Advanced Control Technologies and Strategies Linking Demand Response and Energy Efficiency

    E-Print Network [OSTI]

    Kiliccote, Sila; Piette, Mary Ann

    2005-01-01T23:59:59.000Z

    driven building response. Demand Side Management Energybuildings. Table 1 outlines how DR fits into historical demand side management (

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

    Open Energy Info (EERE)

    integration of energy efficiency, distributed generation, renewable energy resources and energy storage technologies, both locally and globally, to maximize the value of the...

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

    Open Energy Info (EERE)

    generation, smart grid and energy storage. Annex 9 is a list of pilot programs and case studies, with links to those resources. References Retrieved from "http:...

  13. Flexible Demand Management under Time-Varying Prices

    E-Print Network [OSTI]

    Liang, Yong

    2012-01-01T23:59:59.000Z

    Management   System Flexible   Appliances   Distributed  Flexible Demand Management under Time-Varying Prices by YongYing-Ju Chen Spring 2013 Flexible Demand Management under

  14. Electricity Demand and Energy Consumption Management System

    E-Print Network [OSTI]

    Sarmiento, Juan Ojeda

    2008-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Evans, Meredydd

    2008-01-01T23:59:59.000Z

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

  16. Water demand management in Kuwait

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Pedram, Massoud

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

  18. Linking Continuous Energy Management and Open Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01T23:59:59.000Z

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

  19. Sandia National Laboratories: How a Grid Manager Meets Demand...

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

    Demand (Load) How a Grid Manager Meets Demand (Load) In the "historical" electric grid, power-generating plants fell into three categories: No daily electrical demand data plot...

  20. Coordination of Retail Demand Response with Midwest ISO Markets

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2008-01-01T23:59:59.000Z

    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.

  1. INVENTORY MANAGEMENT WITH PARTIALLY OBSERVED NONSTATIONARY DEMAND

    E-Print Network [OSTI]

    Ludkovski, Mike

    INVENTORY MANAGEMENT WITH PARTIALLY OBSERVED NONSTATIONARY DEMAND ERHAN BAYRAKTAR AND MICHAEL LUDKOVSKI Abstract. We consider a continuous-time model for inventory management with Markov mod- ulated non inventory level. We then solve this equivalent formulation and directly characterize an optimal inventory

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

    SciTech Connect (OSTI)

    NONE

    2009-07-15T23:59:59.000Z

    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.

  3. UBC Social Ecological Economic Development Studies (SEEDS) Student Report Demand Side Strategies for Energy Efficiency in University of British Columbia

    E-Print Network [OSTI]

    of a project/report". #12;DEMAND&SIDE)STRATEGIES)FOR)ENERGY)EFFICIENCY) INUBC Social Ecological Economic Development Studies (SEEDS) Student Report Demand Side Strategies for Energy Efficiency in University of British Columbia Residences Jennifer Clark, Nate Croft, Liam Fast

  4. Flexible Demand Management under Time-Varying Prices

    E-Print Network [OSTI]

    Liang, Yong

    2012-01-01T23:59:59.000Z

    planning, multi-periods procurement, optimal stopping problem, the demand management for the Smart Grid

  5. 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

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

    E-Print Network [OSTI]

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

    1984-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

    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.

  8. 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

  9. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential Microhydro SiteDayton Power & LightDemand Management

  10. Optimal Demand Response with Energy Storage Management

    E-Print Network [OSTI]

    Huang, Longbo; Ramchandran, Kannan

    2012-01-01T23:59:59.000Z

    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...

  11. Demand-side issues of the service economy Paru dans : Review of Political Economy, Vol. 16, No. 4, Oct. 2004.

    E-Print Network [OSTI]

    Boyer, Edmond

    Demand-side issues of the service economy Paru dans : Review of Political Economy, Vol. 16, No. 4 the relevance of the demand-side approach to the development of a service economy. Its starts by addressing some in "Review of Political Economy 16, 4 (2004) 473-483" #12;2 1. Introduction Since the 1980s, most

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

    E-Print Network [OSTI]

    Howe, B.; Scales, B.

    Beyond Leaks: Demand-side Strategies for Bill Howe, PE Director, Corporate Energy Services E Source, Inc. Boulder, Colorado SUMMARY Staggering amounts of compressed air are wasted or misapplied in otherwise well run manufacturing...-maintained plants lose about 10 percent of compressed air to leaks, while many more lose over 50 percent. In addition to leaks, wasteful application of compressed air can eat up another 5 to 40 percent of compressed air volume-even in otherwise well...

  13. 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

  14. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01T23:59:59.000Z

    demand-side management (DSM) framework presented in Table x provides three major areas for changing electric loads in buildings:

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

    E-Print Network [OSTI]

    Olsen, Daniel

    2013-01-01T23:59:59.000Z

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

  16. Industrial Rates and Demand-Side Management Programs

    E-Print Network [OSTI]

    Kasprowicz, L. M.; House, R.

    ), Southwestern Public Service, Southwestern Electric Power, City of Austin, West Texas Utilities, EI Paso Electric, and Texas-New Mexico Power. Wholesale sales by major utilities included in "Others" category. Texas service areas only. Percentages based...,928,250 31.8% Texas Total 49,521 13,804 25.8% 93,847,494 36.9% wI Self-Gen 49,521 17,619 30.7% 119,841042 42.8% Note: Utilities are: TV Electric, Houston Lighting & Power, GulfStates Utilities, Central Power and Light, City Public Service (San Antonio...

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

    E-Print Network [OSTI]

    Oren, Shmuel S.

    critical infrastructures in modern society. To ensure reliable system operation, control services Oren, Shmuel; University of California, Technical Topic Area : Power system control, Power system markets Key Words: Power system control, Optimization methods, Stochastic systems IEEE PES Transactions

  18. Demand-Side Management and Energy Efficiency Revisited

    E-Print Network [OSTI]

    Auffhammer, Maximilian; Blumstein, Carl; Fowlie, Meredith

    2007-01-01T23:59:59.000Z

    programs, and the average cost per kWh saved. Using utilitythat the average per kWh program costs reported by utilities

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

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

    More Documents & Publications DOEEEI Model Agreement Explanation Update on Breakout Sessions: Rapid City & Oklahoma City DOE ESPC Task Order Request for Proposal (TO-RFP) Template...

  20. An alternative to the proposed Demand Side Management program

    E-Print Network [OSTI]

    Hughes, Larry

    habits). Utilities such as Nova Scotia Power have, in some cases for more than 30 years, attempted Power Introduction For over 100 years, electricity has been central to the growth and development and tidal), nuclear, as well as some renewables (including biomass, geothermal, solar, and wind). From acid

  1. Demand-Side Management and Energy Efficiency Revisited

    E-Print Network [OSTI]

    Auffhammer, Maximilian; Blumstein, Carl; Fowlie, Meredith

    2007-01-01T23:59:59.000Z

    Average Electricity Savings (%) Reported Average Costreject the average electricity savings and DSM program costsAverage Electricity Savings (%) S 2 Unweighted Average Costs (

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

    E-Print Network [OSTI]

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

    Conservation of electric energy has been a concern of energy users in the residential, commercial and industrial sectors for several decades, and has increased in significance since the 1973 energy shortages. During this time, it has also become...

  3. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia,IDGWPIndiantown,Innoferm GmbHCaltechOpensystems,Energy

  4. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia,IDGWPIndiantown,Innoferm

  5. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:Neppel Wind Power Project Jump to:Nestle

  6. Agreement for Energy Conservation and Demand Side Management Services

    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 DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1Albuquerque, NM - Building America TopAgendaLaboratoryTemplate |

  7. 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

    2006-01-01T23:59:59.000Z

    Demand-Side Management Framework for Commercial BuildingsTimes (NYT) Building and Its Demand-Side Management Lawrencedemand-side management (DSM) framework presented in Table 1 provides three major areas for changing electric loads in buildings:

  8. LEED Demand Response Credit: A Plan for Research towards Implementation

    E-Print Network [OSTI]

    Kiliccote, Sila

    2014-01-01T23:59:59.000Z

    demand-side management activities and commercial buildings’demand-side management (DSM) framework presented in Figure 1 provides continuous energy management concepts for shaping electric loads in buildings,demand-side management activities, DR methods and levels of automation. We highlight OpenADR as a standard for commercial buildings

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

    E-Print Network [OSTI]

    Evans, Meredydd

    2008-01-01T23:59:59.000Z

    in Buildings & Community Systems, Demand-Side Management,Demand-Side Management Implementing Agreement (www.ieadsm.org) ECBCS Energy Conservation in BuildingsBuilding Technologies Program, Department of Energy, Washington, DC. Demand Side Management

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

    SciTech Connect (OSTI)

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

    2014-06-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    McKane, Aimee T.

    2009-01-01T23:59:59.000Z

    Demand Side Management Framework for Industrial Facilities provides three major areas for changing electric loads in industrial buildings:

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

    E-Print Network [OSTI]

    Kesidis, George

    2011-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Celentano, Augusto

    1 Museum-on-Demand: Dynamic management of resources in World Wide Web museums Fabrizio Furano: Given the problem of building virtual museums, this paper discusses the tasks of retrieving, assembling. A virtual museum construction approach is pre- sented, in which a comprehensive database and a complex

  14. 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

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

    E-Print Network [OSTI]

    Mir-Artigues, Pere

    2013-03-01T23:59:59.000Z

    The RES-E promotion policy in Spain gave priority to the photovoltaic (henceforth, PV) ground-mounted installations. For years, the coupling of customer-side generation coupled with excess energy exports was never specifically considered. However...

  16. On Using Complex Event Processing for Dynamic Demand Response Optimization in Microgrid

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    DR. Our focus is on demand-side management rather than supply-side constraints. Continuous data from that can benefit demand-side management in DR, an accessible means to define them at a higher level California Los Angeles, CA 90089, USA Email: {simmhan, prasanna}@usc.edu Abstract--Demand-side load reduction

  17. Linking Continuous Energy Management and Open Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Kumana, J. D.; Nath, R.

    ) systems fo commercial HVAC applications. Load co trol generally involves scheduling the use of electrotechnologies (e.g. air compression, pumping) during off-peak periods only, an shutting them off during on-peak periods. In order to provide... incentives to the custom r to modulate his demand, most DSM progranis combine the foregoing technologies with l1ime of-Use rate structures, capital cost subsidies (rebates), and technical support services. 317 ESL-IE-93-03-45 Proceedings from...

  19. Smart Buildings Using Demand Response March 6, 2011

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Smart Buildings Using Demand Response March 6, 2011 Sila Kiliccote Deputy, Demand Response Research Center Program Manager, Building Technologies Department Environmental Energy Technologies only as needed) · Energy Efficiency strategies are permanent (occur daily) 4 #12;Demand-Side

  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.

    in programs that influence electric demand in ways that produce desired changes in the pattern and magnitude of a utility's electric load profile. These programs, commonly termed "de mand side management" (DSH) , have a customer orien tation... such a rescheduling. The residential customer class appears least suited to load-shaping efforts. Al though characterized by a relatively low load-profile (high peak-to-average ratio) and consistent electricity consumption pat terns, the timing...

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

    SciTech Connect (OSTI)

    None

    2012-02-11T23:59:59.000Z

    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.

  2. Linking Continuous Energy Management and Open Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01T23:59:59.000Z

    for Demand Response in a New Commercial Building in NewDemand Response and Energy Efficiency in Commercial Buildings.Demand Response Mary Ann Piette, Sila Kiliccote, and Girish Ghatikar Lawrence Berkeley National Laboratory Building

  3. 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

  4. A DISTRIBUTED INTELLIGENT AUTOMATED DEMAND RESPONSE BUILDING MANAGEMENT SYSTEM

    SciTech Connect (OSTI)

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

    2013-12-30T23:59:59.000Z

    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.

  5. Multi-period Optimal Procurement and Demand Responses in the Presence of Uncertain Supply

    E-Print Network [OSTI]

    Low, Steven H.

    Smart Grid involves changes in both the demand side and supply side. On the supply side, more renewable energy will be integrated to reduce greenhouse gas emissions and other pollution. On the demand side, smarter demand management systems will be available to respond to the electricity price and improve

  6. Linking Continuous Energy Management and Open Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01T23:59:59.000Z

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

  7. Linking Continuous Energy Management and Open Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01T23:59:59.000Z

    January 2008. Biography Mary Ann Piette is a Staff ScientistAutomated Demand Response Mary Ann Piette, Sila Kiliccote,

  8. Intelligent Building Automation: A Demand Response Management Perspective

    E-Print Network [OSTI]

    Qazi, T.

    2010-01-01T23:59:59.000Z

    the energy consumption in response to energy price fluctuations, demand charges, or a direct request to reduce demand when the power grid reaches critical levels. However, in order for a demand response regime to be effective the building will need to have a...

  9. NWPPA showcases demand response in Port Angeles, upgrades at...

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

    commitment to demand-side management and recent improvements at the Dworshak National Fish Hatchery that's saving energy and benefiting fish. A pair of BPA-supported projects...

  10. 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

  11. Demand management : a cross-industry analysis of supply-demand planning

    E-Print Network [OSTI]

    Tan, Peng Kuan

    2006-01-01T23:59:59.000Z

    Globalization increases product variety and shortens product life cycles. These lead to an increase in demand uncertainty and variability. Outsourcing to low-cost countries increases supply lead-time and supply uncertainty ...

  12. FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS

    E-Print Network [OSTI]

    Keller, Arturo A.

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

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    A demand-side management framework from building operationsdemand-side management (DSM) framework presented in Table 2 provides three major areas for changing electric loads in buildings:buildings in California. This paper summarizes the integration of DR in demand-side management

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

    SciTech Connect (OSTI)

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

    1993-02-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    2014-01-01T23:59:59.000Z

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

  16. Advanced Control Technologies and Strategies Linking Demand Response and Energy Efficiency

    E-Print Network [OSTI]

    Kiliccote, Sila; Piette, Mary Ann

    2005-01-01T23:59:59.000Z

    and individuals. DEMAND RESPONSE BUILDINGS RESEARCH Recentand event driven building response. Demand Side ManagementDemand Response does not involve human intervention, but is initiated at a home, building,

  17. Management of Power Demand through Operations of Building Systems

    E-Print Network [OSTI]

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

    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...

  18. 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 CatĂłlica 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. The Demand Side Management (DSM) plans attempt for central air conditioning systems in commercial buildings, hence allowing a measured control of peak demand

  19. 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 CatĂłlica 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 for central air conditioning systems in commercial buildings, hence allowing a measured control of peak demand

  20. Linking Continuous Energy Management and Open Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01T23:59:59.000Z

    building electric load management concepts and faster scale dynamic DR using open automation systems.systems are being designed to be compatible with existing open building automationbuilding controls, weather sensitivity and occupancy patterns. Automation - Historically many energy management systems

  1. ERCOT Demand Response Paul Wattles

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    changes or incentives.' (FERC) · `Changes in electric use by demand-side resources from their normalERCOT Demand Response Paul Wattles Senior Analyst, Market Design & Development, ERCOT Whitacre thermostats -- Other DLC Possible triggers: Real-time prices, congestion management, 4CP response paid

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

    E-Print Network [OSTI]

    Koutsopoulos, Iordanis

    2010-01-01T23:59:59.000Z

    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...

  3. 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

  4. Inventory Management for Dual Sales Channels with Inventory-Level-Dependent Demand

    E-Print Network [OSTI]

    Xie, Jinxing

    Inventory Management for Dual Sales Channels with Inventory-Level-Dependent Demand Tingting Li Sciences, Tsinghua University, Beijing, China, 100084 Abstract We study the optimal inventory policy of vendor operating dual channels. Demand of each channel depends on inventory levels of both channels. We

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

    E-Print Network [OSTI]

    Bhunia, Swarup

    energy generation and consumption parameters. The system uses economics inspired supply-demand modelA Supply-Demand Model Based Scalable Energy Management System for Improved Energy Utilization Western Reserve University, *Cleveland State University, +Rockwell Automation, Cleveland, OR, USA Email

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

    E-Print Network [OSTI]

    Pedram, Massoud

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

  7. Midterm Supply Chain Planning Under Demand Uncertainty : Customer Demand Satisfaction and Inventory Management

    E-Print Network [OSTI]

    Maranas, Costas

    and Inventory Management Anshuman Gupta and Costas D. Maranas1 Department of Chemical Engineering inventory depletion at the production sites and excessive shortage at the customer. A chance constraint and standard deviation of the inventory are derived and used for setting the appropriate CDS level

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

    E-Print Network [OSTI]

    Piette, Mary Ann; Kiliccote, Sila

    2006-01-01T23:59:59.000Z

    a building operations perspective, a demand-side managementdemand-side management (DSM) framework presented in Table 2 provides three major areas for changing electric loads in buildings:buildings in California. This report summarizes the integration of DR in demand-side management

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

    Open Energy Info (EERE)

    -NAMA Website http:www.tdm-beijing.org Program Start 2011 Program End 2014 Country China Eastern Asia References Transport Management in Beijing1 Program Overview The...

  10. Responding to Congestion and Traffic Growth: Transportatoin Demand Management

    E-Print Network [OSTI]

    Giuliano, Genevieve; Wachs, Martin

    1992-01-01T23:59:59.000Z

    survey of employees;absenceof a properly certified ETC;absenceof a letter from management committing itself to the implementation the plan;

  11. Energy Management Practices at Dalls/Fort Worth International Airport

    E-Print Network [OSTI]

    Dennis, J. R.

    2013-01-01T23:59:59.000Z

    of the Airport?s energy conservation building codes and standards. Proposed Street Light for Southgate Fanwall AHU (TRIP) Energy Management Practices at DFW Airport, October 9, 2013 Demand-Side Management (cont.) ? Continuous Commissioning? ? Optimizes... Management Section ? Structure & Mission ? Supply-Side Management ? Reliability ? Cost (Risk) mitigation ? Environmental stewardship ? Demand-Side Management ? Energy monitoring ? Energy audits ? Energy standards ? Continuous Commissioning...

  12. New Demands on Heavy Duty Engine Management Systems

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

    on Heavy Duty Engine Management Systems Excellence in Automotive R&D Emissions Based Process Control NOx-Reducing by EGR NOx -Reducing by SOI Freez e Activation Signal...

  13. Berkeley Lab Transportation and Parking Demand Management Committee

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced Materials Find More Like3.3BenefitsSearchTransportation Demand

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

    E-Print Network [OSTI]

    Kammen, Daniel M.

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

  15. 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.

    technological progress are needed (see also Steinbucks, 2011 for more analysis). 21 Products targeted by standards in the residential sector include appliances, ICT, lighting, heating and cooling equipments... characteristics of the political, economic, energy system make EE investments difficult Differences in degree of liberalisation of the electricity market (Blumstein et al., 2005); differences in economic level across regions; lack of technical skills...

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

    E-Print Network [OSTI]

    Soni, Jayantika; Krishnanand, KR; Panda, Sanjib

    2014-01-01T23:59:59.000Z

    voltage instability in renewable energy powered microgrids.Authority. (26 Feb). Clean and renewable energy. Available:federal government to 20% renewable energy target by 2020.

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

    E-Print Network [OSTI]

    Gates, G. G.

    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...

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

    E-Print Network [OSTI]

    Harper, Meg

    2014-01-01T23:59:59.000Z

    include low wattage water heaters that run overnight anduse the low wattage water heaters, in conjunction with solarspace heaters and water heaters were banned by village

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

    E-Print Network [OSTI]

    California at Berkeley. University of

    Senior Fellow, Resources for the Future email: brennan@umbc2.umbc.edu POWER Conference University that encourages on-peak consumption Incentives to overbuild generation plant Inability to bundle high;BRENNAN -- DSM UNDER COMPETITION: 5 Competition: Threat or Promise? · DSM programs funded by utilities

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

    E-Print Network [OSTI]

    George, S. S.

    1988-01-01T23:59:59.000Z

    (EPRI) began a study of the DSM activity of utilities in order to assess the effectiveness of such programs for meeting a variety of objectives. One element of this broad based study was an investigation into the factors that influence commercial...

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

    E-Print Network [OSTI]

    of Research, Development and Demonstration on District Heating and Cooling, including the integration of CHP, not mentioned here, supplied information in various ways. All help is very much appreciated. Lyngby, December

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

    E-Print Network [OSTI]

    Soni, Jayantika; Krishnanand, KR; Panda, Sanjib

    2014-01-01T23:59:59.000Z

    Fig. 1 [10]. As air conditioning accounts for 50% of energybuilding, the central air conditioning system can be used asloads like central air conditioning system, to demonstrate

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

    E-Print Network [OSTI]

    Harper, Meg

    2014-01-01T23:59:59.000Z

    hydropower systems for rural electrification: The case ofDecentralised rural electrification: the critical successMini-grids for rural electrification: Lessons learned.

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

    E-Print Network [OSTI]

    Hayes, Barry Patrick

    2013-07-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Rosenblum, J. I.

    in this paper of the arguments and recommendations of DSM-advocates are general, particular attention is paid to the potentially damaging effects of these proposals on large commercial and industrial customers....

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

    E-Print Network [OSTI]

    Gilbert, S. M.

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

  7. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with form HistoryRistmaSinosteelSolarSolkarTopicsSouth DakotaSouthOpen EnergyOpen

  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

    2002-07-24T23:59:59.000Z

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

    E-Print Network [OSTI]

    Bowen, Brian (Brian Richard)

    2015-01-01T23:59:59.000Z

    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, ...

  10. February/March2007 COLORADO WATER Residential Water Demand Management in Aurora

    E-Print Network [OSTI]

    Colorado at Boulder, University of

    February/March2007 COLORADO WATER 14 Residential Water Demand Management in Aurora: Learning from Assessment Kevin Reidy, Water Conservation Supervisor, Aurora Water Recent drought years in Colorado have provided a strong in- centive for reform and innovation. One example can be found in Aurora, where drought

  11. CCM: Scalable, On-Demand Compute Capacity Management for Cloud Datacenters

    E-Print Network [OSTI]

    Lee, Hsien-Hsin "Sean"

    CCM: Scalable, On-Demand Compute Capacity Management for Cloud Datacenters Mukil Kesavan, Irfan of Technology, ±CloudPhysics, Inc, Boston University, VMware Inc. Abstract We present CCM (Cloud Capacity, CCM also focuses on the tradeoffs due to two unavoidable issues in large scale commodity datacenters

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

    E-Print Network [OSTI]

    Boutaba, Raouf

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

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

    E-Print Network [OSTI]

    Are domestic load profiles stable over time? An attempt to identify target households for demand Bamberg, Germany Email: thorsten.staake@uni-bamberg.de Abstract--Elaborating demand side management future demand side will largely depend on an automatic control of larger loads, it is also widely agreed

  14. Stochastic Information Management in Smart Grid Hao Liang, Member, IEEE, Amit Kumar Tamang, Weihua Zhuang, Fellow, IEEE, and

    E-Print Network [OSTI]

    Zhuang, Weihua

    of renewable energy sources, energy storage devices, demand side management (DSM) tools, and electric vehicles research issues are identified. Index Terms--Demand side management, electric power sys- tem, electric and will continue to participate in the demand side management (DSM) programs which provide incentives via energy

  15. Demand Response Programs Oregon Public Utility Commission

    E-Print Network [OSTI]

    , Demand Side Management #12;Current Programs/Tariffs ­ Load Control Programs Cool Keeper, Utah (currentlyDemand Response Programs Oregon Public Utility Commission January 6, 2005 Mike Koszalka Director 33 MW, building to 90 MW) Irrigation load control, Idaho (35 MW summer, 2004) Lighting load control

  16. Optimal Demand Response Capacity of Automatic Lighting Control

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    . To remedy this problem, different demand side management programs have been proposed to shape the energy prior studies have extensively studied the capacity of offering demand response in buildings and office buildings. Keywords: Demand response, automatic lighting control, commercial and office buildings

  17. Smoothing the Energy Consumption: Peak Demand Reduction in Smart Grid

    E-Print Network [OSTI]

    Li, Xiang-Yang

    for autonomous demand side management within one house. The DRS devices are able to sense and control the peak energy consumption or demand. We assume that several appliances within one building access to oneSmoothing the Energy Consumption: Peak Demand Reduction in Smart Grid Shaojie Tang , Qiuyuan Huang

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

    E-Print Network [OSTI]

    ) is a demand-side management strategy to reduce electricity use during times of high peak electric loads;1 Field Demonstration of Automated Demand Response for Both Winter and Summer Events in Large Buildings of a series of field test of automated demand response systems in large buildings in the Pacific Northwest

  19. 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.

    2007-05-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Bond, Alex; Steiner, Ruth

    2006-01-01T23:59:59.000Z

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

  1. A Comprehensive Contribution Factor Method for Congestion Management

    E-Print Network [OSTI]

    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 load1 A Comprehensive Contribution Factor Method for Congestion Management H. Song, Student Member

  2. 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

    2003-04-18T23:59:59.000Z

    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.

  3. 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)

    2011-12-06T23:59:59.000Z

    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.

  4. 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)

    2006-12-12T23:59:59.000Z

    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.

  5. 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)

    2013-12-15T23:59:59.000Z

    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.

  6. RESIDENTIAL WATER DEMAND MANAGEMENT: LESSONS FROM AURORA, COLORADO1 Douglas S. Kenney, Christopher Goemans, Roberta Klein, Jessica Lowrey, and Kevin Reidy2

    E-Print Network [OSTI]

    Colorado at Boulder, University of

    RESIDENTIAL WATER DEMAND MANAGEMENT: LESSONS FROM AURORA, COLORADO1 Douglas S. Kenney, Christopher). In this study of Aurora, Colorado, factors influencing residential water demand are reviewed during a turbulent Reidy, 2008. Residential Water Demand Management: Lessons from Aurora, Colorado. Journal of the American

  7. 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

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

    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

  9. LEED Demand Response Credit: A Plan for Research towards Implementation

    E-Print Network [OSTI]

    the need and methods for commercial building sector involvement in demand response (DR). We summarize, including architects, engineers, consultants, contractors, and building owners and managers. Finally, we in the US increased the focus on the need for flexible demand-side resources to address four major

  10. Optimal Demand Bidding for Time-Shiftable Loads Hamed Mohsenian-Rad, Senior Member, IEEE

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    -ahead market, real-time market, demand side management, multi-stage stochastic optimization, closed1 Optimal Demand Bidding for Time-Shiftable Loads Hamed Mohsenian-Rad, Senior Member, IEEE Abstract and enhancing demand response and peak-load shaving programs. In this paper, we seek to answer the following

  11. Load Management Made Simple

    E-Print Network [OSTI]

    Schneider, K.

    1985-01-01T23:59:59.000Z

    Up until the 1970's electric utilities were basically in a supply side management mode, in which plants were built to serve whatever demand customers required. However in the last 10- 15 years, many utilities, including Texas Utilities Electric...

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

    E-Print Network [OSTI]

    Evans, Meredydd

    2008-01-01T23:59:59.000Z

    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

  13. 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

    2007-01-01T23:59:59.000Z

    use intensity (kWh/sf/yr), load factor and many other energy use characteristics for each market segment. From this information, lower tier performers in each NAICS submarket can be identified and appropriate DSM alternatives selected specific to each....

  14. Model documentation: Electricity Market Module, Load and Demand-Side Management submodule. Volume 2, Model code listing

    SciTech Connect (OSTI)

    Not Available

    1994-04-07T23:59:59.000Z

    Volume II of the documentation contains the actual source code of the LDSM submodule, and the cross reference table of its variables. The code is divided into two parts. The first part contains the main part of the source code. The second part lists the INCLUDE files referenced inside the main part of the code.

  15. 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.

    ). Systematic errors are introduced when the operating time length consistently is greater or less than that of the plant....

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

    E-Print Network [OSTI]

    Katariya, Abhilasha

    2013-11-27T23:59:59.000Z

    and liquidation de- cisions for a supplier who satisfies demand from a contractual and a spot market. The second problem extends this to investigate a supplier’s joint replenishment, allocation and pricing decisions under two markets. The third problem...

  17. Managing Mixed-Use Clusters with Cluster-on-Demand Justin Moore, David Irwin, Laura Grit, Sara Sprenkle, and Jeff Chase

    E-Print Network [OSTI]

    Shenoy, Prashant

    Cluster-on-Demand (COD), a cluster op- erating system framework for mixed-use clusters. COD interposes, and cooling equipment, leasing or sharing access to a common cluster is an attractive solu- tion when demands a great deal of research and progress in managing clusters since the early days of the NOW project [5

  18. 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

  19. Barriers to reducing energy demand in existing building stock -a perspective based on

    E-Print Network [OSTI]

    Carletta, Jean

    Barriers to reducing energy demand in existing building stock - a perspective based on observation another radiator." #12;Typical End User Training #12;Demand Side Problem #12;Workman Mis(?)conceptions "If, interviews, probes, home inspections intervention - management committees, "message of the month", magazine

  20. PANonDemand: Building selforganizing WPANs for better power management Manish Anand and Jason Flinn

    E-Print Network [OSTI]

    Flinn, Jason

    is light, PAN­on­Demand adapts the network structure to minimize energy usage. Our results show that PAN­radio system that balances performance and energy concerns by scaling the structure of the network to match user grows, fast, energy­efficient mecha­ nisms are needed to share data between those devices

  1. 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

  2. Optimal Real-time Dispatch for Integrated Energy Systems

    E-Print Network [OSTI]

    Firestone, Ryan Michael

    2007-01-01T23:59:59.000Z

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

  3. CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST Manager Kae Lewis Acting Manager Demand Analysis Office Valerie T. Hall Deputy Director Energy Efficiency Demand Forecast report is the product of the efforts of many current and former California Energy

  4. New Demands on Heavy Duty Engine Management Systems | 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 DataDepartment of Energy Your Density Isn'tOrigin of Contamination in Many DevilsForum |EnergyNew CatalyticDemands on Heavy Duty Engine

  5. May 2013 PSERC Webinar: Managing Wind Variability with Self-Reserves and Responsive Demand

    Broader source: Energy.gov [DOE]

    The DOE-funded Power Systems Engineering Research Center (PSERC) is offering a free public webinar on managing wind variability in energy production. The webinar will be held Tuesday, May 7, 2013 from 2-3 p.m. No pre-registration is necessary.

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

    SciTech Connect (OSTI)

    Gamberini, R., E-mail: rita.gamberini@unimore.it; Del Buono, D.; Lolli, F.; Rimini, B.

    2013-11-15T23:59:59.000Z

    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.

  7. Local government and demand-side bidding

    SciTech Connect (OSTI)

    Vine, E.

    1990-12-01T23:59:59.000Z

    As part of Lawrence Berkeley Laboratory's (LBL) technical assistance to the Sustainable City Project, the issue of DSM bidding was examined as a possible option for local government. The recent interest and activity in DSM bidding around the country presents an opportunity for local government. Potential benefits for local government include increased installation of energy efficiency measures in municipal facilities and in the community, economic development, an additional source of revenue to help pay for municipal programs (including additional conservation efforts), and an enhanced local image. Local government will most likely participate in DSM bidding as a customer or as a client of an energy service company (ESCO). The exact role will depend on local government's response to key issues associated with DSM bidding, such as performance guarantees, quality assurance procedures (measuring savings and providing financial security), and the administrative burden. In addition, local government will have to weigh the advantages and disadvantages of working with an ESCO. While local government has not yet participated in DSM bidding, local government is in a unique position to take advantage of energy efficiency opportunities as owner-operators of municipal facilities which consume significant amounts of energy, planners and regulators of new development, and general providers of services and assistance to their communities. Furthermore, local governments have lower risks (in terms of program success) than small businesses, and local governments' credibility and experience in dealing with customers may reduce high transaction costs associated with DSM bidding. Despite these advantages, local governments should take a cautious approach in participating in DSM bidding processes, and should carefully examine other strategies for promoting energy efficiency (including participation in conventional utility programs) prior to participating in DSM bidding.

  8. Electric Utility Demand-Side Evaluation Methodologies

    E-Print Network [OSTI]

    Treadway, N.

    of many publ ic projects because it provides a framework for public agency appraisal of noncommercial activities. Its application allows a summary of the benefits and costs of an activity from the perspective of society and the taxpayer or... of the rate impact at one point in tim.e. Rates do not change for ':the nonparticipant, or? for anyone ~lse unti 1. ?autil.ity' requests and receives a rate change. In Texas;.? r?atesar.e? based on the average embedded costs of a? one year historic time...

  9. CLOUD-BASED SOFTWARE PLATFORM FOR DATA-DRIVEN SMART GRID MANAGEMENT Yogesh Simmhan, Saima Aman, Alok Kumbhare, Rongyang Liu, Sam Stevens, Qunzhi Zhou and

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    microgrid to perform intelligent demand-side management and relieve peak load. Our platform offers. On the demand-side, intelligent appliances, adoption of #12;electric vehicles, and rooftop solar panels makeCLOUD-BASED SOFTWARE PLATFORM FOR DATA-DRIVEN SMART GRID MANAGEMENT Yogesh Simmhan, Saima Aman

  10. Pottebaum et al. Event Definition for Intelligent Resource Management Event Definition for the Application of Event

    E-Print Network [OSTI]

    Paliouras, George

    of resource management (use case and demand side) and event processing (technology and supply side). MethodsPottebaum et al. Event Definition for Intelligent Resource Management Event Definition for the Application of Event Processing to Intelligent Resource Management Jens Pottebaum University of Paderborn, C

  11. Demand Reduction

    Broader source: Energy.gov [DOE]

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

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

    SciTech Connect (OSTI)

    Han, Junqiao; Piette, Mary Ann

    2007-11-30T23:59:59.000Z

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

  13. Demand Response Opportunities in Industrial Refrigerated Warehouses in California

    E-Print Network [OSTI]

    Goli, Sasank

    2012-01-01T23:59:59.000Z

    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).

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

    E-Print Network [OSTI]

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

    2004-01-01T23:59:59.000Z

    Management and Demand Response in Commercial Buildings", L BAutomated Demand Response National Conference on BuildingAutomated Demand Response National Conference on Building

  15. Electrical Demand Management

    E-Print Network [OSTI]

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

    1983-01-01T23:59:59.000Z

    bination of a 2200 ton, the 1200 ton and the 800 ton units or by two 2200 ton units. We sought to di sp 1ace the 1200 ton or part of a 2200 ton unit with two steam turbi ne chill ers duri ng peak hours at a total reduced cost for supplying all building...

  16. Synthesised Constraint Models for Distributed Energy Management

    E-Print Network [OSTI]

    Reif, Wolfgang

    generation [1], demand-side manage- ment, or building control software. In a producer-based view, supplySynthesised Constraint Models for Distributed Energy Management Alexander Schiendorfer, Jan frequently encountered in energy management systems such as the coordination of power generators in a virtual

  17. Using Reinforcement Learning for Proactive Network Fault Management

    E-Print Network [OSTI]

    Shayman, Mark A.

    fault management demands intelligent man­ agement actions be taken by central manager or remote agents.g., alarms) which appear sequentially. For example, on the manager's side, polling devices randomly (orUsing Reinforcement Learning for Proactive Network Fault Management Qiming He, Mark A. Shayman

  18. Patterns of crude demand: Future patterns of demand for crude oil as a func-

    E-Print Network [OSTI]

    Langendoen, Koen

    #12;2 #12;Patterns of crude demand: Future patterns of demand for crude oil as a func- tion schemes, and/or change quality of the feedstock (crude). Demand for crude oil is growing, especially perspective. This thesis aims pre- cisely at understanding the quality of oil from a demand side perspective

  19. PAN-on-Demand: Building self-organizing WPANs for better power management Manish Anand and Jason Flinn

    E-Print Network [OSTI]

    Flinn, Jason

    is light, PAN-on-Demand adapts the network structure to minimize energy usage. Our results show that PAN-radio system that balances performance and energy concerns by scaling the structure of the network to match grows, fast, energy-efficient mecha- nisms are needed to share data between those devices. Increasingly

  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. 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

    2010-01-01T23:59:59.000Z

    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 ...

  2. Demand response enabling technology development

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Kiliccote, Sila

    2011-01-01T23:59:59.000Z

    high.  Demand response helps to manage building electricity Building  Control Strategies and Techniques for Demand Response.  Non?Residential Building in California.   Demand Response 

  5. Residential Energy Demand Reduction Analysis and Monitoring Platform...

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

    development that is built to conventional code). * This objective will be achieved by - Energy efficient home construction with roof- integrated PV system - Demand Side...

  6. Evaluating the DSM Potential for Industrial Electrotechnologies and Management Practices

    E-Print Network [OSTI]

    Harrell, P. J.; Pavone, A.

    -side management (DSM) program. This paper outlines the procedures used to evaluate technologies that may impact oil refining, pulp & paper production, and 26 major chemical processes of industrial customers within HL&P's service area. Each technology... practices (technologies) for possible inclusion in an industrial demand-side management (DSM) program. This paper outlines the procedures used to evaluate technologies that may impact oil refining, pulp & paper production, and 26 major chemical processes...

  7. 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

    2009-05-30T23:59:59.000Z

    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.

  8. 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

    2013-01-01T23:59:59.000Z

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

  9. Integrated Energy System Dispatch Optimization

    E-Print Network [OSTI]

    Firestone, Ryan; Stadler, Michael; Marnay, Chris

    2006-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Tiedemann, Kenneth Mr.

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Johnson, Alissa

    2013-01-01T23:59:59.000Z

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

  12. Estimates of achievable potential for electricity efficiency improvements in U.S. residences

    E-Print Network [OSTI]

    Brown, Richard

    1993-01-01T23:59:59.000Z

    utility demand-side management programs, and buildingutility demand-side management (DSM) programs, and building

  13. 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

    2010-05-14T23:59:59.000Z

    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.

  14. Home Network Technologies and Automating Demand Response

    SciTech Connect (OSTI)

    McParland, Charles

    2009-12-01T23:59:59.000Z

    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.

  15. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01T23:59:59.000Z

    peak demand management. Photo sensors for daylight drivenare done by local photo-sensors and control hardwaresensing device in a photo sensor is typically a photodiode,

  16. Robust newsvendor problem with autoregressive demand

    E-Print Network [OSTI]

    2014-05-19T23:59:59.000Z

    May 19, 2014 ... business decision problems, in fields such as managing booking and ...... Q? having available the demand historical records for t = 1, ..., T. 2.

  17. 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

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

    SciTech Connect (OSTI)

    Lawrence Berkeley National Laboratory; Kiliccote, Sila

    2011-11-18T23:59:59.000Z

    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.

  19. 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

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

    E-Print Network [OSTI]

    Abhyankar, Nikit

    2011-01-01T23:59:59.000Z

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

  1. Automated Demand Response and Commissioning

    SciTech Connect (OSTI)

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

    2005-04-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Piette, Mary Ann; Kiliccote, Sila

    2006-09-01T23:59:59.000Z

    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.

  3. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

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

    2013-10-01T23:59:59.000Z

    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.

  4. Coordinated Aggregation of Distributed Demand-Side Resources

    E-Print Network [OSTI]

    -5706 Phone: 480-965-1643 Fax: 480-965-0745 Notice Concerning Copyright Material PSERC members are given is given to this document as the source material. This report is available for downloading from the PSERC website. 2014 Cornell University. All rights reserved #12;Acknowledgements This is the final report

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

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T, Inc.'sEnergyTexas1. Feedstock & Production ChallengeEfficient Future |

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

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T, Inc.'sEnergyTexas1. Feedstock & Production ChallengeEfficient Future |:

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To:Department ofOralGovernmentStandardsIdahoby4and Example |June 24,

  8. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place: Ketchum, Idaho Zip: IDConcepts Jump

  9. Utility Sector Impacts of Reduced Electricity Demand

    SciTech Connect (OSTI)

    Coughlin, Katie

    2014-12-01T23:59:59.000Z

    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.

  10. Demand Dispatch-Intelligent

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

    CA Control Areas CO 2 Carbon Dioxide CHP Combined Heat and Power CPP Critical Peak Pricing DG Distributed Generation DOE Department of Energy DR Demand Response DRCC Demand...

  11. 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.

    1996-03-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

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

  14. 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

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

    E-Print Network [OSTI]

    Schiller, Steven R.

    2011-01-01T23:59:59.000Z

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

  16. Zero Energy Windows

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

  17. The Theory and Practice of Decoupling

    E-Print Network [OSTI]

    Eto, J.H.

    2010-01-01T23:59:59.000Z

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

  18. 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

    2006-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Lin, Jiang; Fridley, David

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Zhou, Nan

    2012-01-01T23:59:59.000Z

    2005. Primer on Demand-Side Management. Washington, DC: theDemand Side Management 2010. Meade, B. 2010. “Demand Side Management” Available at:

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

    E-Print Network [OSTI]

    Shen, Bo

    2011-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Can, Stephane de la Rue du

    2011-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Sathaye, Jayant

    2010-01-01T23:59:59.000Z

    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

  4. 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

    2011-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2012-01-01T23:59:59.000Z

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

  6. INDEEP ANNUAL REPORT (1995-1996)

    E-Print Network [OSTI]

    Fine, Edward

    2010-01-01T23:59:59.000Z

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

  7. Water resources planning under climate change and variability

    E-Print Network [OSTI]

    O'Hara, Jeffrey Keith

    2007-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Zhou, Nan

    2012-01-01T23:59:59.000Z

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

  9. 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 ...

  10. 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

    2009-01-01T23:59:59.000Z

    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 ...

  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. Using Whole-Building Electric Load Data in Continuous or Retro-Commissioning

    E-Print Network [OSTI]

    Price, Phillip N.

    2012-01-01T23:59:59.000Z

    demand reduction, demand responsive lighting systems, building systems integration, and feedback for demand-side management.

  13. The Impact of Residential Air Conditioner Charging and Sizing on Peak Electrical Demand

    E-Print Network [OSTI]

    Neal, L.; O'Neal, D. L.

    rebate and maintenance programs for many years. The purpose of these programs was to improve the efficiency of the stock of air conditioning equipment and provide better demand-side management. This paper examines the effect of refrigerant charging... increases. The cooling load is assumed to be zero at an outdoor temperature of 70 F. This would assume an internal heat gain equal to approximately 8 F if the thermostat setting is at 78 F. The house load is also assumed to be equal to the test unit...

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

    E-Print Network [OSTI]

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

    2014-01-01T23:59:59.000Z

    ? min . [1] U. D. of Energy, “Benefits of demand response inHong, and X. Li, “A demand response energy management schemefor energy efficiency and automated demand response in

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

    E-Print Network [OSTI]

    Piette, Mary Ann

    2014-01-01T23:59:59.000Z

    Systems for  Energy Management and Demand Response in 7.  Linking energy efficiency and demand response.   In for Low-Energy Operations and Optimal Demand Response Mary

  16. Evaluation of forecasting techniques for short-term demand of air transportation

    E-Print Network [OSTI]

    Wickham, Richard Robert

    1995-01-01T23:59:59.000Z

    Forecasting is arguably the most critical component of airline management. Essentially, airlines forecast demand to plan the supply of services to respond to that demand. Forecasts of short-term demand facilitate tactical ...

  17. Side-Channel Oscilloscope

    E-Print Network [OSTI]

    Chaudhuri, Sumanta

    2011-01-01T23:59:59.000Z

    Side-Channel Analysis used for codebreaking could be used constructively as a probing tool for internal gates in integrated circuits. This paper outlines basic methods and mathematics for that purpose

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

    Data for Automated Demand Response in Commercial Buildings,Demand Response Infrastructure for Commercial Buildings",demand response and energy efficiency functions into the design of buildings,

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

    E-Print Network [OSTI]

    Evans, Meredydd

    2008-01-01T23:59:59.000Z

    Energy Agency INDEEP International Database on Demand-Side Management Technologiesenergy assessment and analysis methodology/protocol and Energy Assessment Guide Develop a database of “Energy Saving Technologies energy assessment and analysis methodology/protocol and Energy Assessment Guide Develop a database of “Energy Saving Technologies 

  20. 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

  1. 07%20SEATTLE%20Best%20Practices%20in%20Transportation%20Demand...

    Energy Savers [EERE]

    07%20SEATTLE%20Best%20Practices%20in%20Transportation%20Demand%20Management.pdf 07%20SEATTLE%20Best%20Practices%20in%20Transportation%20Demand%20Management.pdf...

  2. Demand response enabling technology development

    E-Print Network [OSTI]

    Arens, Edward; Auslander, David; Huizenga, Charlie

    2008-01-01T23:59:59.000Z

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

  3. Demand Response Spinning Reserve Demonstration

    E-Print Network [OSTI]

    2007-01-01T23:59:59.000Z

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

  4. Demand response enabling technology development

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

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

  5. Automated Demand Response and Commissioning

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

    and Demand Response in Commercial Buildings”, Lawrencesystems. Demand Response using HVAC in Commercial BuildingsDemand Response Test in Large Facilities13 National Conference on Building

  6. Building Energy Management Open-Source Software Development ...

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

    be able to optimize electricity usage to reduce energy consumption and help implement demand response (DR). This opens up demand side ancillary services markets and creates...

  7. 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 2

    SciTech Connect (OSTI)

    NONE

    1995-04-01T23:59:59.000Z

    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.

  8. Energy Demand Staff Scientist

    E-Print Network [OSTI]

    Eisen, Michael

    Energy Demand in China Lynn Price Staff Scientist February 2, 2010 #12;Founded in 1988 Focused,000 2,000 3,000 4,000 5,000 6,000 7,000 2007 USChina #12;Overview:Overview: Key Energy Demand DriversKey Energy Demand Drivers · 290 million new urban residents 1990-2007 · 375 million new urban residents 2007

  9. Industrial Demand Module

    Gasoline and Diesel Fuel Update (EIA)

    Boiler, Steam, and Cogeneration (BSC) Component. The BSC Component satisfies the steam demand from the PA and BLD Components. In some industries, the PA Component produces...

  10. Demand Response In California

    Broader source: Energy.gov [DOE]

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

  11. Cash for Coolers

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Zhou, Nan

    2012-01-01T23:59:59.000Z

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

  13. A Review of Electrochromic Window Performance Factors

    E-Print Network [OSTI]

    Selkowitz Ed, S.E.

    2010-01-01T23:59:59.000Z

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

  14. CERTS Microgrid Laboratory Test Bed

    E-Print Network [OSTI]

    Lasseter, R. H.

    2010-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Cappers, Peter; Goldman, Charles; Kathan, David

    2009-06-01T23:59:59.000Z

    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.

  16. Controlling electric power demand

    SciTech Connect (OSTI)

    Eikenberry, J.

    1984-11-15T23:59:59.000Z

    Traditionally, demand control has not been viewed as an energy conservation measure, its intent being to reduce the demand peak to lower the electric bill demand charge by deferring the use of a block of power to another demand interval. Any energy savings were essentially incidental and unintentional, resulting from curtailment of loads that could not be assumed at another time. This article considers a microprocessor-based multiplexed system linked to a minicomputer to control electric power demand in a winery. In addition to delivering an annual return on investment of 55 percent in electric bill savings, the system provides a bonus in the form of alarm and monitoring capability for critical processes.

  17. 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

    2011-04-29T23:59:59.000Z

    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.

  18. Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2014-01-01T23:59:59.000Z

    Dynamic controls for energy efficiency and demand response:to evaluate continuous energy management and demand responseBldg Energy (kWh) Energy (kWh) Demand (kW) Office Bldg Of f

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    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.

  1. Progress toward Producing Demand-Response-Ready Appliances

    SciTech Connect (OSTI)

    Hammerstrom, Donald J.; Sastry, Chellury

    2009-12-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    An Exploration of Australian Petrol Demand: Unobserv- ableRelative Prices: Simulating Petrol Con- sumption Behavior.habit stock variable in a petrol demand regression, they

  3. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk, New York:SiG Solar GmbH Jump to: navigation, searchSiding Jump

  4. Demand Response Valuation Frameworks Paper

    E-Print Network [OSTI]

    Heffner, Grayson

    2010-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Low, Steven H.

    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

  6. Tracking Progress Last updated 5/7/2014 Statewide Energy Demand 1

    E-Print Network [OSTI]

    Tracking Progress Last updated 5/7/2014 Statewide Energy Demand 1 Statewide Energy Demand Energy Commission's energy demand forecast includes multiple scenarios, the Energy Commission worked together1 to agree upon a single managed demand forecast that incorporates all energy efficiency

  7. 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

  8. Travel Demand Modeling

    SciTech Connect (OSTI)

    Southworth, Frank [ORNL; Garrow, Dr. Laurie [Georgia Institute of Technology

    2011-01-01T23:59:59.000Z

    This chapter describes the principal types of both passenger and freight demand models in use today, providing a brief history of model development supported by references to a number of popular texts on the subject, and directing the reader to papers covering some of the more recent technical developments in the area. Over the past half century a variety of methods have been used to estimate and forecast travel demands, drawing concepts from economic/utility maximization theory, transportation system optimization and spatial interaction theory, using and often combining solution techniques as varied as Box-Jenkins methods, non-linear multivariate regression, non-linear mathematical programming, and agent-based microsimulation.

  9. 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

    2004-08-01T23:59:59.000Z

    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.

  10. ENERGY DEMAND FORECAST METHODS REPORT

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION ENERGY DEMAND FORECAST METHODS REPORT Companion Report to the California Energy Demand 2006-2016 Staff Energy Demand Forecast Report STAFFREPORT June 2005 CEC-400. Hall Deputy Director Energy Efficiency and Demand Analysis Division Scott W. Matthews Acting Executive

  11. Demand Forecast INTRODUCTION AND SUMMARY

    E-Print Network [OSTI]

    electricity demand forecast means that the region's electricity needs would grow by 5,343 average megawattsDemand 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

  12. ConservationandDemand ManagementPlan

    E-Print Network [OSTI]

    Abolmaesumi, Purang

    conservation efforts, including a campus wide ASHRAE Level 1 Audit in partnership with an Energy Savings; Introduction Ontario Regulation 397/11 under the Green Energy Act 2009 requires public agencies--municipalities, municipal service boards, school boards, universities, colleges and hospitals--to report

  13. The Effects of Demand Management Measures on

    E-Print Network [OSTI]

    California at Davis, University of

    #12;Share of Total VMT & GHGs in U.S. for Light & Commercial Vehicles from 2013 to 2040 (EIA) 0% 10 vehicle distance based fee in 2012 5 #12;Methodology · TOD and VMT Fee simulated with California Travel for Model Development Surveys Observed · Travel Surveys · Census-PUMS · American Community · Freight

  14. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, Indiana (Utility Company)Library <InformationTopics Ask

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

    E-Print Network [OSTI]

    Winkler, E.

    2008-01-01T23:59:59.000Z

    The Forward Capacity Market was developed by ISO New England, the six New England states, and industry stakeholders to promote investment in demand- and supply-side resources. Under the new FCM design, ISO New England will project the needs...

  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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITIONPortal DecisionRichlandDelegations,Demand

  17. Water supply and demand in an energy supply model

    SciTech Connect (OSTI)

    Abbey, D; Loose, V

    1980-12-01T23:59:59.000Z

    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.

  18. Energy Efficiency Country Study: Republic Of South Africa

    E-Print Network [OSTI]

    Can, Stephane de la Rue du

    2014-01-01T23:59:59.000Z

    Rules for Energy Efficiency and Demand Side Management (to support the Energy Efficiency and Demand Side Management,costs for DSM, energy efficiency and demand- reduction

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

    BEST PRACTICES AND RESULTS OF DR IMPLEMENTATION . 31 Encouraging End-User Participation: The Role of Incentives 16 Demand Response

  20. CALIFORNIA ENERGY DEMAND 2014-2024 PRELIMINARY

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 2014-2024 PRELIMINARY FORECAST Volume 1: Statewide Electricity Demand, End-User Natural Gas Demand, and Energy Efficiency The California Energy Demand 2014-2024 Preliminary Forecast, Volume 1: Statewide Electricity Demand

  1. Electrical Demand Control

    E-Print Network [OSTI]

    Eppelheimer, D. M.

    1984-01-01T23:59:59.000Z

    to the reservoir. Util i ties have iiting for a number of years. d a rebate for reducing their When the utility needs to shed is sent to turn off one or mnre mer's electric water heater or equipment. wges have enticed more and more same strategies... an increased need for demand 1 imiting. As building zone size is reduced, total instal led tonnage increases due to inversfty. Each compressor is cycled by a space thermostat. There is no control system to limit the number of compressors running at any...

  2. activity-based travel demand: Topics by E-print Network

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

    and Dissertations Summary: ??Travel demand Management (TDM) focuses on improving the efficiency of the transportation system through changing traveler's travel behavior rather than...

  3. 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

  4. 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

    2009-04-30T23:59:59.000Z

    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.

  5. 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

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

    E-Print Network [OSTI]

    Culler, David E.

    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

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

    E-Print Network [OSTI]

    Koutsopoulos, Iordanis

    Control and Optimization Meet the Smart Power Grid: Scheduling of Power Demands for Optimal Energy technologies to enforce sensible use of energy through effective demand load management. We envision a scenario con- sumer power demand requests with different power require- ments, durations, and deadlines

  8. Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed

    E-Print Network [OSTI]

    Chen, Xin

    Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 1. Introduction Traditional inventory strategies to manage their inventory effectively. For example, techniques such as revenue management have

  9. Demand Response Programs, 6. edition

    SciTech Connect (OSTI)

    NONE

    2007-10-15T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Aden, Nathaniel

    2010-01-01T23:59:59.000Z

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

  11. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    gas demands are forecast for the four natural gas utilitythe 2006-2016 Forecast. Commercial natural gas demand isforecasts and demand scenarios. Electricity planning area Natural gas

  12. Installation and Commissioning Automated Demand Response Systems

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

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

  13. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

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

  14. Strategies for Demand Response in Commercial Buildings

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    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

  15. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01T23:59:59.000Z

    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

  16. Home Network Technologies and Automating Demand Response

    E-Print Network [OSTI]

    McParland, Charles

    2010-01-01T23:59:59.000Z

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

  17. Barrier Immune Radio Communications for Demand Response

    E-Print Network [OSTI]

    Rubinstein, Francis

    2010-01-01T23:59:59.000Z

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

  18. Wireless Demand Response Controls for HVAC Systems

    E-Print Network [OSTI]

    Federspiel, Clifford

    2010-01-01T23:59:59.000Z

    Strategies Linking Demand Response and Energy Efficiency,”Fully Automated Demand Response Tests in Large Facilities,technical support from the Demand Response Research Center (

  19. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

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

  20. Coupling Renewable Energy Supply with Deferrable Demand

    E-Print Network [OSTI]

    Papavasiliou, Anthony

    2011-01-01T23:59:59.000Z

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

  1. DEMAND CONTROLLED VENTILATION AND CLASSROOM VENTILATION

    E-Print Network [OSTI]

    Fisk, William J.

    2014-01-01T23:59:59.000Z

    of energy and environmental benefits of demand controlledindicate the energy and cost savings for demand controlled24) (California Energy Commission 2008), demand controlled

  2. Demand Controlled Ventilation and Classroom Ventilation

    E-Print Network [OSTI]

    Fisk, William J.

    2014-01-01T23:59:59.000Z

    of energy and environmental benefits of demand controlled indicate the energy and cost savings for  demand controlled 24) (California Energy  Commission 2008), demand controlled 

  3. Hawaiian Electric Company Demand Response Roadmap Project

    E-Print Network [OSTI]

    Levy, Roger

    2014-01-01T23:59:59.000Z

    integrating HECO and Hawaii Energy demand response relatedpotential. Energy efficiency and demand response efforts areBoth  energy  efficiency  and  demand  response  should  

  4. Hawaiian Electric Company Demand Response Roadmap Project

    E-Print Network [OSTI]

    Levy, Roger

    2014-01-01T23:59:59.000Z

    and best practices to guide HECO demand response developmentbest practices for DR renewable integration – Technically demand responseof best practices. This is partially because demand response

  5. Strategies for Demand Response in Commercial Buildings

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    Strategies for Demand Response in Commercial Buildings DavidStrategies for Demand Response in Commercial Buildings Davidadjusted for demand response in commercial buildings. The

  6. Installation and Commissioning Automated Demand Response Systems

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    Demand Response Systems National Conference on BuildingDemand Response Systems National Conference on BuildingDemand Response Systems National Conference on Building

  7. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

    In terms of demand response capability, building operatorsautomated demand response and improve building energy andand demand response features directly into building design

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

    DEMAND RESPONSE .7 Wholesale Marketuse at times of high wholesale market prices or when systemenergy expenditure. In wholesale markets, spot energy prices

  9. Demand Response and Energy Efficiency

    E-Print Network [OSTI]

    Demand Response & Energy Efficiency International Conference for Enhanced Building Operations ESL-IC-09-11-05 Proceedings of the Ninth International Conference for Enhanced Building Operations, Austin, Texas, November 17 - 19, 2009 2 ?Less than 5... for Enhanced Building Operations, Austin, Texas, November 17 - 19, 2009 5 What is Demand Response? ?The temporary reduction of electricity demanded from the grid by an end-user in response to capacity shortages, system reliability events, or high wholesale...

  10. Demand Response Technology Roadmap A

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

    workshop agendas, presentation materials, and transcripts. For the background to the Demand Response Technology Roadmap and to make use of individual roadmaps, the reader is...

  11. ELECTRICITY DEMAND FORECAST COMPARISON REPORT

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION ELECTRICITY DEMAND FORECAST COMPARISON REPORT STAFFREPORT June 2005.................................................................................................................................3 PACIFIC GAS & ELECTRIC PLANNING AREA ........................................................................................9 Commercial Sector

  12. Driving Demand | Department of Energy

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

    strategies, results achieved to date, and advice for other programs. Driving Demand for Home Energy Improvements. This guide, developed by the Lawrence Berkeley National...

  13. Demand Response Technology Roadmap M

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

    between May 2014 and February 2015. The Bonneville Power Administration (BPA) Demand Response Executive Sponsor Team decided upon the scope of the project in May. Two subsequent...

  14. CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST

    E-Print Network [OSTI]

    Energy Commission's final forecasts for 2012­2022 electricity consumption, peak, and natural gas demand Electricity, demand, consumption, forecast, weather normalization, peak, natural gas, self generation CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 2: Electricity Demand

  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

    2008-04-21T23:59:59.000Z

    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. UBC STUDENT HOUSING DEMAND STUDY

    E-Print Network [OSTI]

    Ollivier-Gooch, Carl

    UBC STUDENT HOUSING DEMAND STUDY Presented by Nancy Knight and Andrew Parr FEBRUARY 5, 2010 #12;PURPOSE · To determine the need/demand for future on- campus student housing · To address requests from · A survey of students, and analysis of housing markets, and preparation of a forecast · The timeline

  17. Harnessing the power of demand

    SciTech Connect (OSTI)

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

    2008-03-15T23:59:59.000Z

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

  18. The Value of Information in Inventory Management

    E-Print Network [OSTI]

    Gokhan Metan

    2007-05-25T23:59:59.000Z

    May 25, 2007 ... Abstract: Inventory management traditionally assumes the precise knowledge of the underlying demand distribution and a risk-neutral manager ...

  19. anger management program: Topics by E-print Network

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

    Load Management Programs CATEE Conference October, 2012 Agenda Outline I. General Demand Response Definition II. General Demand Response Program Rules III. CenterPoint...

  20. aging management programs: Topics by E-print Network

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

    Load Management Programs CATEE Conference October, 2012 Agenda Outline I. General Demand Response Definition II. General Demand Response Program Rules III. CenterPoint...

  1. active load management: Topics by E-print Network

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

    Load Management Programs CATEE Conference October, 2012 Agenda Outline I. General Demand Response Definition II. General Demand Response Program Rules III. CenterPoint...

  2. Demand Response for Ancillary Services

    SciTech Connect (OSTI)

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

    2013-01-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Boyd, Brian K.

    2014-08-01T23:59:59.000Z

    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.

  4. 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.

    2013-01-01T23:59:59.000Z

    1 October 10th 2013 ? 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...-10-20 Proceedings of the 13th International Conference for Enhanced Building Operations, Montreal, Quebec, October 8-11, 2013 4 Demand response in CI buildings ESL-IC-13-10-20 Proceedings of the 13th International Conference for Enhanced Building Operations...

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

    E-Print Network [OSTI]

    McNeil, MIchael

    2011-01-01T23:59:59.000Z

    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

  6. 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.

    2010-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Satchwell, Andrew

    2013-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    2011-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Yang, Christopher

    2011-01-01T23:59:59.000Z

    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

  10. Strategic Pricing and Resource Allocation: Framework and Applications

    E-Print Network [OSTI]

    Ren, Shaolei

    2012-01-01T23:59:59.000Z

    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-

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

    SciTech Connect (OSTI)

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

    2008-11-19T23:59:59.000Z

    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.

  12. Resource and Agreement Management in Dynamic Crowdcomputing Environments Harald Psaier, Florian Skopik, Daniel Schall, Schahram Dustdar

    E-Print Network [OSTI]

    Dustdar, Schahram

    . As a consequence, meeting promised service contracts is challenging and demands for sophisti- cated management

  13. Automated Demand Response and Commissioning

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

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

  14. Community Water Demand in Texas

    E-Print Network [OSTI]

    Griffin, Ronald C.; Chang, Chan

    Solutions to Texas water policy and planning problems will be easier to identify once the impact of price upon community water demand is better understood. Several important questions cannot be addressed in the absence of such information...

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

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Mares, K.C.

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    El-Hawary, M.

    2010-01-01T23:59:59.000Z

    Energy consumed during the construction of buildings and structures, including the embodied energy of the concrete and other construction materials, represent a considerable percentage that may reach 40% of the total energy consumed during the whole...

  18. assessment demand-side energy: Topics by E-print Network

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

    and Utilization Websites Summary: Renewable Energy Center California Off-shore Wind Technology Assessment 12;California Renewable EnergyRESEARCH RESULTS FORUM FOR RENEWABLE...

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

    E-Print Network [OSTI]

    California at Berkeley. University of

    of the Program on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy Institute, a multicampus research unit of the University of California, located on the Berkeley campus. University of California Energy Institute 2539 Channing Way Berkeley, California 94720-5180 www

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

    E-Print Network [OSTI]

    Howe, B.; Scales, B.

    1997-01-01T23:59:59.000Z

    Staggering amounts of compressed air are wasted or misapplied in otherwise well run manufacturing facilities, often adding thousands of dollars in extra operating cost per year. The process of eliminating this expensive waste requires a thorough...

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

    E-Print Network [OSTI]

    El-Hawary, M.

    2010-01-01T23:59:59.000Z

    Energy consumed during the construction of buildings and structures, including the embodied energy of the concrete and other construction materials, represent a considerable percentage that may reach 40% of the total energy ...

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

    E-Print Network [OSTI]

    Machold, W. D.

    1994-01-01T23:59:59.000Z

    with participation by ESCOs in utility sponsored DSM programs: 1. Utility Competition ESCOs seeking to participate in utility sponsored DSM bidding programs must evaluate current and planned rebate and/or customized programs budgeted by utilities.... The utility customer lay appreciate having the choice between utility )onsored rebate programs and third party service roviders. However, from an ESCO viewpoint, ~mpetition with utility sponsored programs can -ode the market and thereby result...

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

    E-Print Network [OSTI]

    Biedrzycki, C.

    to improve efficiency in residential buildings; programs to improve efficiency in commercial/industrial buildings; and other programs. Residential program activity is predominant over program activity for other sectors and residential programs represent... and one utility includes an incentive. Rebates and other financial incentives are widely used to promote the installation of energy efficient air conditioners and heat pumps in both new and retrofit applications. Residential programs, for the most...

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

    E-Print Network [OSTI]

    Dalal, Jyotirmoy

    2014-12-02T23:59:59.000Z

    We present three models for emergency response network design. First, in a deterministic setting, we focus on two critical aspects of emergency logistics: evacuation and relief distribution. We consider a three-tier system comprising evacuation...

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

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSAR -Department ofEM Communications August 24,U.S.Report:

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

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipalNumberAugust7, COMMITTEEThe

  7. CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 2014­2024 REVISED FORECAST Volume 1: Statewide Electricity Demand, EndUser Natural Gas Demand, and Energy Efficiency SEPTEMBER 2013 CEC2002013004SDV1REV CALIFORNIA The California Energy Demand 2014 ­ 2024 Revised Forecast, Volume 1: Statewide Electricity Demand and Methods

  8. CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST Volume 2: Electricity Demand The California Energy Demand 2014 ­ 2024 Revised Forecast, Volume 2: Electricity Demand by Utility Planning Area Energy Policy Report. The forecast includes three full scenarios: a high energy demand case, a low

  9. 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

    2009-02-28T23:59:59.000Z

    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.

  10. Price-elastic demand in deregulated electricity markets

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.

    2003-05-01T23:59:59.000Z

    The degree to which any deregulated market functions efficiently often depends on the ability of market agents to respond quickly to fluctuating conditions. Many restructured electricity markets, however, experience high prices caused by supply shortages and little demand-side response. We examine the implications for market operations when a risk-averse retailer's end-use consumers are allowed to perceive real-time variations in the electricity spot price. Using a market-equilibrium model, we find that price elasticity both increases the retailers revenue risk exposure and decreases the spot price. Since the latter induces the retailer to reduce forward electricity purchases, while the former has the opposite effect, the overall impact of price responsive demand on the relative magnitudes of its risk exposure and end-user price elasticity. Nevertheless, price elasticity decreases cumulative electricity consumption. By extending the analysis to allow for early settlement of demand, we find that forward stage end-user price responsiveness decreases the electricity forward price relative to the case with price-elastic demand only in real time. Moreover, we find that only if forward stage end-user demand is price elastic will the equilibrium electricity forward price be reduced.

  11. Exhausting Battery Statistics Understanding the energy demands on mobile handsets

    E-Print Network [OSTI]

    Cambridge, University of

    energy models and resources managers designed for laptops [20] and data cen- ters [4] inapplicableExhausting Battery Statistics Understanding the energy demands on mobile handsets Narseo Vallina.surname@telekom.de ABSTRACT Despite the advances in battery technologies, mobile phones still suffer from severe energy

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

    SciTech Connect (OSTI)

    Burt, B.; Mullins, S. [Industrial Info Resources (United States)

    2008-01-15T23:59:59.000Z

    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.

  13. OPUC Flexibility Planning Guidelines Pacific Northwest Demand Response Project

    E-Print Network [OSTI]

    ) · Demand management ­ smart grid controllable "withdrawal" and "recharge" #12;Jim Hicks Energy Strategies Jim Hicks Energy Strategies West, LLC #12;OPUC's New IRP Guidelines* · Integrated Resource Plans operational view of planning, including comprehensive multi-faceted VER integration strategy #12;Daily Wind

  14. Demand response-enabled residential thermostat controls.

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

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

  15. Demand Response as a System Reliability Resource

    E-Print Network [OSTI]

    Joseph, Eto

    2014-01-01T23:59:59.000Z

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

  16. REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022

    E-Print Network [OSTI]

    the California Energy Commission staff's revised forecasts for 2012­2022 electricity consumption, peak Electricity, demand, consumption, forecast, weather normalization, peak, natural gas, self generation REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 1: Statewide Electricity Demand

  17. REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022

    E-Print Network [OSTI]

    Energy Commission staff's revised forecasts for 2012­2022 electricity consumption, peak, and natural Electricity, demand, consumption, forecast, weather normalization, peak, natural gas, self generation REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 2: Electricity Demand by Utility

  18. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

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

  19. National Action Plan on Demand Response

    Broader source: Energy.gov [DOE]

    Presentation—given at the Federal Utility Partnership Working Group (FUPWG) Fall 2008 meeting—discusses the National Assessment of Demand Response study, the National Action Plan for Demand Response, and demand response as related to the energy outlook.

  20. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

    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

  1. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

    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).

  2. Installation and Commissioning Automated Demand Response Systems

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

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

  3. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

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

  4. Demand Controlled Ventilation and Classroom Ventilation

    E-Print Network [OSTI]

    Fisk, William J.

    2014-01-01T23:59:59.000Z

    use of demand control ventilation systems in general officedemand controlled  ventilation systems, Dennis DiBartolomeo the demand controlled ventilation system increased the rate 

  5. Supply chain planning decisions under demand uncertainty

    E-Print Network [OSTI]

    Huang, Yanfeng Anna

    2008-01-01T23:59:59.000Z

    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 ...

  6. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01T23:59:59.000Z

    sector, the demand response potential of California buildinga demand response event prohibit a building’s participationdemand response strategies in California buildings are

  7. Sandia National Laboratories: demand response inverter

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

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

  8. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1992-04-01T23:59:59.000Z

    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.

  9. Turkey's energy demand and supply

    SciTech Connect (OSTI)

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

    2009-07-01T23:59:59.000Z

    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.

  10. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1991-09-01T23:59:59.000Z

    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.

  11. Dark Energy: Taking SidesDark Energy: Taking SidesDark Energy: Taking Sides The University of Chicago

    E-Print Network [OSTI]

    Yamamoto, Hirosuke

    Dark Energy: Taking SidesDark Energy: Taking SidesDark Energy: Taking Sides Rocky Kolb Barocky The University of Chicago #12;#12; Cold Dark Matter: (CDM) 25% Dark Energy (): 70% Stars: 0.5% H & He: gas 4 For Dark EnergyEvidence For Dark EnergyEvidence For Dark Energy 3) Baryon acoustic oscillations 4) Weak

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

    E-Print Network [OSTI]

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

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

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

    of Cross-Border Electricity Transmission Facilities between the United States and Canada" Now Available "Regulatory Side-by-Side Governing Permitting of Cross-Border...

  14. 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

    2014-07-01T23:59:59.000Z

    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.

  15. Demand Response Programs for Oregon

    E-Print Network [OSTI]

    wholesale prices and looming shortages in Western power markets in 2000-01, Portland General Electric programs for large customers remain, though they are not active at current wholesale prices. Other programs demand response for the wholesale market -- by passing through real-time prices for usage above a set

  16. 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

  17. obesity demands more than just

    E-Print Network [OSTI]

    Qian, Ning

    #12;The World That Makes Us Fat ***** ***** ***** Overcoming obesity demands more than just. By Melinda Wenner Moyer Illustrations by A. Richard Allen 27 #12;ON ONE LEVEL, of course, obesity has a sim to pollutants. Their research suggests that to solve the problem of obesity--and, ultimately, to prevent it from

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

    E-Print Network [OSTI]

    Benenson, P.

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    McKane, Aimee T.

    2009-01-01T23:59:59.000Z

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

  20. Automated Demand Response Opportunities in Wastewater Treatment Facilities

    E-Print Network [OSTI]

    Thompson, Lisa

    2008-01-01T23:59:59.000Z

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

  1. Northwest Open Automated Demand Response Technology Demonstration Project

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

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

  2. Demand charge schedule data | OpenEI Community

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential Microhydro SiteDayton Power & LightDemand ManagementDemand

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

    E-Print Network [OSTI]

    Yener, Aylin

    1 Smart (In-home) Power Scheduling for Demand Response on the Smart Grid Gang Xiong, Chen Chen for the home and produces a demand that is more level over time. Index Terms--Smart grid, power management to control power usage across the home. The EMC may be standalone or embedded either in the smart meter

  4. 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

  5. CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 2014­2024 FINAL FORECAST Volume 1: Statewide Electricity Demand, EndUser Natural Gas Demand, and Energy Efficiency DECEMBER 2013 CEC2002013004SFV1 CALIFORNIA and expertise of numerous California Energy Commission staff members in the Demand Analysis Office. In addition

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

    SciTech Connect (OSTI)

    Douglas C. Larson; Matt Lowry; Sharon Irwin

    2004-06-29T23:59:59.000Z

    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.

  8. 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

    2009-11-06T23:59:59.000Z

    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.

  9. An examination of factors affecting high occupancy/toll lane demand 

    E-Print Network [OSTI]

    Appiah, Justice

    2004-11-15T23:59:59.000Z

    In recent years, high occupancy/toll (HOT) lanes have gained increasing recognition as a potential method of managing traffic congestion. HOT lanes combine pricing and vehicle occupancy restrictions to optimize the demand ...

  10. An examination of factors affecting high occupancy/toll lane demand

    E-Print Network [OSTI]

    Appiah, Justice

    2004-11-15T23:59:59.000Z

    In recent years, high occupancy/toll (HOT) lanes have gained increasing recognition as a potential method of managing traffic congestion. HOT lanes combine pricing and vehicle occupancy restrictions to optimize the demand for high occupancy vehicle...

  11. www.mcgill.ca/investment-management BCom Honours in Investment Management

    E-Print Network [OSTI]

    Barthelat, Francois

    will prepare you for careers on the buy-side, in financial asset management, or on the sell-side, working will have the opportunity to work as a research analyst at Desautels Capital Management while taking courseswww.mcgill.ca/investment-management BCom Honours in Investment Management The BCom Honours

  12. Streamside Management Zones (Montana)

    Broader source: Energy.gov [DOE]

    This chapter sets streamside management zones as encompassing a strip at least 50 feet wide on each side of a stream, lake, or other body of water, measured from the ordinary high-water mark, and...

  13. Efficient clustered server-side data analysis workflows using SWAMP

    E-Print Network [OSTI]

    Wang, Daniel L; Zender, Charles S; Jenks, Stephen F

    2009-01-01T23:59:59.000Z

    CS, Jenks SF (2007) Server-side parallel data reduction andEfficient clustered server-side data analysis workflowssystem provides safe server-side process- ing capabilities

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

    SciTech Connect (OSTI)

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

    2001-06-25T23:59:59.000Z

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

  15. Results and commissioning issues from an automated demand responsepilot

    SciTech Connect (OSTI)

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

    2004-08-05T23:59:59.000Z

    This paper describes a research project to develop and test Automated Demand Response hardware and software technology in large facilities. We describe the overall project and some of the commissioning and system design problems that took place. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve the electric grid reliability purposes, manage electricity costs, and ensure that customers receive signals that encourage load reduction during times when the electric grid is near its capacity. There were a number of specific commissioning challenges in conducting this test including software compatibility, incorrect time zones, IT and EMCS failures, and hardware issues. The knowledge needed for this type of system commissioning combines knowledge of building controls with network management and knowledge of emerging information technologies.

  16. DAB, South Side, ODH Analysis

    SciTech Connect (OSTI)

    Michael, J.; Mulholland, G.T.; /Fermilab

    1990-01-03T23:59:59.000Z

    This report covers the ODH concerns of the south side of the D0 Assembly Building. from the bottom (el. 700-feet) to the top (774-feet 6-inches). volume by volume. Each volume is covered in its own section. with each section broken down into three parts. The first is a description of the volume. including its function. dimensions. and all relative ODH concerns; cryogenic piping and ventilation. Second. the actual ODH analysis of the volume is shown. Third. the provisions for the ODH condition of the volume are detailed. including securing the area and the posting of signs. The liquid argon dewar room is at an elevation of 701-feet 6-inch (38-feet underground), with the dewar surrounded by 7700 cubic feet of air. The area is accessible only through a single door. which has a small window and a lock (lock out only). There is small metal scaffolding in front of the dewar to facilitate maintenance and U-tube pulling and installation. The room is directly on top of the Pipe Chase Well and the Cryo Sump, and the bottom of the Stairway is just outside the door. The dewar is designed to be completely operated by remote computer control and the area will be unmanned during normal operation. Room occupancy will occur only during dewar or central control junction box maintenance, or U-tube changes. The dewar has these additions to it: 20 valves, 10 bayonet connections (or 5 U-tubes), 8 bolted flanges, 100 pipe sections (approx.). 100 brazed joints and welds (approx.). and 10 pipe elbows. In addition, 3 of the U-tubes will be changed twice a year on average.

  17. 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.

    2013-07-01T23:59:59.000Z

    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.

  18. A Design Guide for Early-Market Electrochromic Windows

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    demand side management and demand response under peak load conditions. These benefits were quantified for commercial buildings

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

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

    in Demand Response for Wholesale Ancillary Services Silain Demand Response for Wholesale Ancillary Services Silasuccessfully in the wholesale non- spinning ancillary

  20. Physically-based demand modeling 

    E-Print Network [OSTI]

    Calloway, Terry Marshall

    1980-01-01T23:59:59.000Z

    Transactions on Automatic Control, vol. AC-19, December 1974, pp. 887-893. L3] |4] LS] [6] [7] LB] C. W. Brice and S. K. Jones, MPhysically-Based Demand Modeling, d EC-77-5-01-5057, RF 3673, Electric Power Institute, Texas A&M University, October 1978.... C. W. Br ice and 5, K, Jones, MStochastically-Based Physical Load Models Topical Report, " EC-77-5-01-5057, RF 3673, Electric Power Institute, Texas A&M University, May 1979. S. K. Jones and C. W. Brice, "Point Process Models for Power System...

  1. Justice and the demands of realism

    E-Print Network [OSTI]

    Munro, Daniel K., 1972-

    2006-01-01T23:59:59.000Z

    The dissertation examines how concerns about the demands of realism should be addressed in political theories of justice. It asks whether the demands of realism should affect the construction of principles of justice and, ...

  2. Industrial Equipment Demand and Duty Factors

    E-Print Network [OSTI]

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

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

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

    Energy Savers [EERE]

    drivingdemandsocialmedia010611.pdf More Documents & Publications Marketing & Driving Demand: Social Media Tools & Strategies - January 16, 2011 Social Media for Natural...

  4. Hawaiian Electric Company Demand Response Roadmap Project

    E-Print Network [OSTI]

    Levy, Roger

    2014-01-01T23:59:59.000Z

    renewable integration capability. Coordinating and integrating HECO and Hawaii Energy demand response related activities has the potential

  5. Wireless Demand Response Controls for HVAC Systems

    E-Print Network [OSTI]

    Federspiel, Clifford

    2010-01-01T23:59:59.000Z

    temperature-based demand response in buildings that havedemand response advantages of global zone temperature setup in buildings

  6. THE STATE OF DEMAND RESPONSE IN CALIFORNIA

    E-Print Network [OSTI]

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

  7. THE STATE OF DEMAND RESPONSE IN CALIFORNIA

    E-Print Network [OSTI]

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

  8. Demand Response Resources in Pacific Northwest

    E-Print Network [OSTI]

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

  9. Barrier Immune Radio Communications for Demand Response

    E-Print Network [OSTI]

    LBNL-2294E Barrier Immune Radio Communications for Demand Response F. Rubinstein, G. Ghatikar, J Ann Piette of Lawrence Berkeley National Laboratory's (LBNL) Demand Response Research Center (DRRC and Environment's (CIEE) Demand Response Emerging Technologies Development (DRETD) Program, under Work for Others

  10. Demand Response and Ancillary Services September 2008

    E-Print Network [OSTI]

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

  11. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

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

  12. Modeling Energy Demand Aggregators for Residential Consumers

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Modeling Energy Demand Aggregators for Residential Consumers G. Di Bella, L. Giarr`e, M. Ippolito, A. Jean-Marie, G. Neglia and I. Tinnirello § January 2, 2014 Abstract Energy demand aggregators are new actors in the energy scenario: they gather a group of energy consumers and implement a demand

  13. Transportation Energy: Supply, Demand and the Future

    E-Print Network [OSTI]

    Saldin, Dilano

    Transportation Energy: Supply, Demand and the Future http://www.uwm.edu/Dept/CUTS//2050/energy05 as a source of energy. Global supply and demand trends will have a profound impact on the ability to use our) Transportation energy demand in the U.S. has increased because of the greater use of less fuel efficient vehicles

  14. Demand Response Valuation Frameworks Paper

    SciTech Connect (OSTI)

    Heffner, Grayson

    2009-02-01T23:59:59.000Z

    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.

  15. Budget Adjustment Single Sided Budget Adjustment

    E-Print Network [OSTI]

    Stephens, Graeme L.

    Budget Adjustment & Single Sided Budget Adjustment WELCOME! #12;Accessing Kuali · Campus://busfin.colostate.edu #12;What will be covered today? · When should I use a Budget Adjustment (BA) or Single Sided Budget · Error correction · Onesided vs. singlesided entries #12;When to use a Budget Adjustment · How do I know

  16. Side-emitting fiber optic position sensor

    DOE Patents [OSTI]

    Weiss, Jonathan D. (Albuquerque, NM)

    2008-02-12T23:59:59.000Z

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

  17. Floating LNG terminal and LNG carrier interaction analysis for side-by-side offloading operation

    E-Print Network [OSTI]

    Kuriakose, Vinu P.

    2005-11-01T23:59:59.000Z

    Floating LNG terminals are a relatively new concept with the first such terminal in the world installed this year. The hydrodynamic interaction effects between the terminal and a LNG carrier in a side-by-side offloading arrangement is investigated...

  18. Back-side readout semiconductor photomultiplier

    DOE Patents [OSTI]

    Choong, Woon-Seng; Holland, Stephen E

    2014-05-20T23:59:59.000Z

    This disclosure provides systems, methods, and apparatus related to semiconductor photomultipliers. In one aspect, a device includes a p-type semiconductor substrate, the p-type semiconductor substrate having a first side and a second side, the first side of the p-type semiconductor substrate defining a recess, and the second side of the p-type semiconductor substrate being doped with n-type ions. A conductive material is disposed in the recess. A p-type epitaxial layer is disposed on the second side of the p-type semiconductor substrate. The p-type epitaxial layer includes a first region proximate the p-type semiconductor substrate, the first region being implanted with p-type ions at a higher doping level than the p-type epitaxial layer, and a second region disposed on the first region, the second region being doped with p-type ions at a higher doping level than the first region.

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

    E-Print Network [OSTI]

    Tiedemann, Kenneth Mr.

    2013-01-01T23:59:59.000Z

    HVAC systems and building shells. Demand side management programs have focused their attention on market

  20. September 9, 2010 Workshop in

    E-Print Network [OSTI]

    Lin, Xiaodong

    of Demand Side Management as a Public Good" Michael Crew, Rutgers University, "Price Caps and Energy

  1. Building Energy Information Systems: User Case Studies

    E-Print Network [OSTI]

    Granderson, Jessica

    2010-01-01T23:59:59.000Z

    building to outside entities, supporting and aligning with current developments in demand side management,

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

    E-Print Network [OSTI]

    Riabov, Vladimir V.

    AIAA 2002-3298 AERODYNAMICS OF TWO SIDE-BY-SIDE PLATES IN HYPERSONIC RAREFIED-GAS FLOWS Vladimir V. Riabov* Rivier College, Nashua, New Hampshire 03060 Abstract Hypersonic rarefied-gas flows near two side transitional rarefied-gas-flow conditions (Knudsen numbers from 0.024 to 1.8). Strong influences

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

    E-Print Network [OSTI]

    Sastry, S. Shankar

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

  4. Deploying Server-side File System Monitoring at NERSC

    SciTech Connect (OSTI)

    Uselton, Andrew

    2009-05-01T23:59:59.000Z

    The Franklin Cray XT4 at the NERSC center was equipped with the server-side I/O monitoring infrastructure Cerebro/LMT, which is described here in detail. Insights gained from the data produced include a better understanding of instantaneous data rates during file system testing, file system behavior during regular production time, and long-term average behaviors. Information and insights gleaned from this monitoring support efforts to proactively manage the I/O infrastructure on Franklin. A simple model for I/O transactions is introduced and compared with the 250 million observations sent to the LMT database from August 2008 to February 2009.

  5. Retail Demand Response in Southwest Power Pool

    SciTech Connect (OSTI)

    Bharvirkar, Ranjit; Heffner, Grayson; Goldman, Charles

    2009-01-30T23:59:59.000Z

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

  6. The role of building technologies in reducing and controlling peak electricity demand

    SciTech Connect (OSTI)

    Koomey, Jonathan; Brown, Richard E.

    2002-09-01T23:59:59.000Z

    Peak power demand issues have come to the fore recently because of the California electricity crisis. Uncertainties surrounding the reliability of electric power systems in restructured markets as well as security worries are the latest reasons for such concerns, but the issues surrounding peak demand are as old as the electric utility system itself. The long lead times associated with building new capacity, the lack of price response in the face of time-varying costs, the large difference between peak demand and average demand, and the necessity for real-time delivery of electricity all make the connection between system peak demand and system reliability an important driver of public policy in the electric utility sector. This exploratory option paper was written at the request of Jerry Dion at the U.S.Department of Energy (DOE). It is one of several white papers commissioned in 2002 exploring key issues of relevance to DOE. This paper explores policy-relevant issues surrounding peak demand, to help guide DOE's research efforts in this area. The findings of this paper are as follows. In the short run, DOE funding of deployment activities on peak demand can help society achieve a more economically efficient balance between investments in supply and demand-side technologies. DOE policies can promote implementation of key technologies to ameliorate peak demand, through government purchasing, technology demonstrations, and improvements in test procedures, efficiency standards, and labeling programs. In the long run, R&D is probably the most important single leverage point for DOE to influence the peak demand issue. Technologies for time-varying price response hold great potential for radically altering the way people use electricity in buildings, but are decades away from widespread use, so DOE R&D and expertise can make a real difference here.

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

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Kiliccote, Sila

    2013-01-01T23:59:59.000Z

    for the Open Automated Demand Response (OpenADR) StandardsControl for Automated Demand Response, Grid Interop, 2009. [C. McParland, Open Automated Demand Response Communications

  9. Northwest Open Automated Demand Response Technology Demonstration Project

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

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

  10. Scenarios for Consuming Standardized Automated Demand Response Signals

    E-Print Network [OSTI]

    Koch, Ed

    2009-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Cappers, Peter

    2009-01-01T23:59:59.000Z

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

  12. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

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

  13. Modeling, Analysis, and Control of Demand Response Resources

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2012-01-01T23:59:59.000Z

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

  14. Coordination of Retail Demand Response with Midwest ISO Markets

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2008-01-01T23:59:59.000Z

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

  15. Direct versus Facility Centric Load Control for Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2010-01-01T23:59:59.000Z

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

  16. Open Automated Demand Response for Small Commerical Buildings

    E-Print Network [OSTI]

    Dudley, June Han

    2009-01-01T23:59:59.000Z

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

  17. India Energy Outlook: End Use Demand in India to 2020

    E-Print Network [OSTI]

    de la Rue du Can, Stephane

    2009-01-01T23:59:59.000Z

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

  18. SAN ANTONIO SPURS DEMAND FOR ENERGY EFFICIENCY | Department of...

    Energy Savers [EERE]

    SAN ANTONIO SPURS DEMAND FOR ENERGY EFFICIENCY SAN ANTONIO SPURS DEMAND FOR ENERGY EFFICIENCY SAN ANTONIO SPURS DEMAND FOR ENERGY EFFICIENCY As a city that experiences seasonal...

  19. Northwest Open Automated Demand Response Technology Demonstration Project

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

    Building Control Strategies and Techniques for Demand Response.Building Systems and DR Strategies 16 Demand ResponseDemand Response Systems. ” Proceedings, 16 th National Conference on Building

  20. LEED Demand Response Credit: A Plan for Research towards Implementation

    E-Print Network [OSTI]

    Kiliccote, Sila

    2014-01-01T23:59:59.000Z

    in California. DEMAND RESPONSE AND COMMERCIAL BUILDINGSload and demand response against other buildings and alsoDemand Response and Energy Efficiency in Commercial Buildings",