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Sample records for demand response dr

  1. Demand Response Dispatch Tool

    SciTech Connect (OSTI)

    2012-08-31

    The Demand Response (DR) Dispatch Tool uses price profiles to dispatch demand response resources and create load modifying profiles. These annual profiles are used as inputs to production cost models and regional planning tools (e.g., PROMOD). The tool has been effectively implemented in transmission planning studies conducted by the Western Electricity Coordinating Council via its Transmission Expansion Planning and Policy Committee. The DR Dispatch Tool can properly model the dispatch of DR resources for both reliability and economic conditions.

  2. Demand Response Dispatch Tool

    Energy Science and Technology Software Center (OSTI)

    2012-08-31

    The Demand Response (DR) Dispatch Tool uses price profiles to dispatch demand response resources and create load modifying profiles. These annual profiles are used as inputs to production cost models and regional planning tools (e.g., PROMOD). The tool has been effectively implemented in transmission planning studies conducted by the Western Electricity Coordinating Council via its Transmission Expansion Planning and Policy Committee. The DR Dispatch Tool can properly model the dispatch of DR resources for bothmore » reliability and economic conditions.« less

  3. Demand Response

    Office of Environmental Management (EM)

    Demand Response Assessment for Eastern Interconnection Youngsun Baek, Stanton W. Hadley, Rocio Martinez, Gbadebo Oladosu, Alexander M. Smith, Fran Li, Paul Leiby and Russell Lee Prepared for FY12 DOE-CERTS Transmission Reliability R&D Internal Program Review September 20, 2012 2 Managed by UT-Battelle for the U.S. Department of Energy DOE National Laboratory Studies Funded to Support FOA 63 * DOE set aside $20 million from transmission funding for national laboratory studies. * DOE

  4. Commercial & Industrial Demand Response

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

    & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response Cross-sector Demand Response...

  5. Demand Response Valuation Frameworks Paper

    SciTech Connect (OSTI)

    Heffner, Grayson

    2009-02-01

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

  6. Cross-sector Demand Response

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

    & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response Cross-sector Demand Response...

  7. Demand Response Analysis Tool

    SciTech Connect (OSTI)

    2012-03-01

    Demand Response Analysis Tool is a software developed at the Lawrence Berkeley National Laboratory. It is initially funded by Southern California Edison. Our goal in developing this tool is to provide an online, useable, with standardized methods, an analysis tool to evaluate demand and demand response performance of commercial and industrial facilities. The tool provides load variability and weather sensitivity analysis capabilities as well as development of various types of baselines. It can be used by researchers, real estate management firms, utilities, or any individuals who are interested in analyzing their demand and demand response capabilities.

  8. Demand Response Analysis Tool

    Energy Science and Technology Software Center (OSTI)

    2012-03-01

    Demand Response Analysis Tool is a software developed at the Lawrence Berkeley National Laboratory. It is initially funded by Southern California Edison. Our goal in developing this tool is to provide an online, useable, with standardized methods, an analysis tool to evaluate demand and demand response performance of commercial and industrial facilities. The tool provides load variability and weather sensitivity analysis capabilities as well as development of various types of baselines. It can be usedmore » by researchers, real estate management firms, utilities, or any individuals who are interested in analyzing their demand and demand response capabilities.« less

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

    SciTech Connect (OSTI)

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

    2012-06-01

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

  10. Taxonomy for Modeling Demand Response Resources

    SciTech Connect (OSTI)

    Olsen, Daniel; Kiliccote, Sila; Sohn, Michael; Dunn, Laura; Piette, Mary, A

    2014-08-01

    Demand response resources are an important component of modern grid management strategies. Accurate characterizations of DR resources are needed to develop systems of optimally managed grid operations and to plan future investments in generation, transmission, and distribution. The DOE Demand Response and Energy Storage Integration Study (DRESIS) project researched the degree to which demand response (DR) and energy storage can provide grid flexibility and stability in the Western Interconnection. In this work, DR resources were integrated with traditional generators in grid forecasting tools, specifically a production cost model of the Western Interconnection. As part of this study, LBNL developed a modeling framework for characterizing resource availability and response attributes of DR resources consistent with the governing architecture of the simulation modeling platform. In this report, we identify and describe the following response attributes required to accurately characterize DR resources: allowable response frequency, maximum response duration, minimum time needed to achieve load changes, necessary pre- or re-charging of integrated energy storage, costs of enablement, magnitude of controlled resources, and alignment of availability. We describe a framework for modeling these response attributes, and apply this framework to characterize 13 DR resources including residential, commercial, and industrial end-uses. We group these end-uses into three broad categories based on their response capabilities, and define a taxonomy for classifying DR resources within these categories. The three categories of resources exhibit different capabilities and differ in value to the grid. Results from the production cost model of the Western Interconnection illustrate that minor differences in resource attributes can have significant impact on grid utilization of DR resources. The implications of these findings will be explored in future DR valuation studies.

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

    SciTech Connect (OSTI)

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

    2007-05-01

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

  12. Demand Response- Policy

    Broader source: Energy.gov [DOE]

    Demand response is an electricity tariff or program established to motivate changes in electric use by end-use customers, designed to induce lower electricity use typically at times of high market prices or when grid reliability is jeopardized.

  13. Wireless Demand Response Controls for HVAC Systems

    SciTech Connect (OSTI)

    Federspiel, Clifford

    2009-06-30

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

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

    SciTech Connect (OSTI)

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

    2009-12-30

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

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

    SciTech Connect (OSTI)

    Rochlin, Cliff

    2009-11-15

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

  16. Demand Response | Department of Energy

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

    Demand Response Demand Response Demand Response Demand response provides an opportunity for consumers to play a significant role in the operation of the electric grid by reducing or shifting their electricity usage during peak periods in response to time-based rates or other forms of financial incentives. Demand response programs are being used by electric system planners and operators as resource options for balancing supply and demand. Such programs can lower the cost of electricity in

  17. Pilot Testing of Commercial Refrigeration-Based Demand Response

    SciTech Connect (OSTI)

    Hirsch, Adam; Clark, Jordan; Deru, Michael; Trenbath, Kim; Doebber, Ian; Studer, Daniel

    2015-10-08

    Supermarkets potentially offer a substantial demand response (DR) resource because of their high energy intensity and use patterns. This report describes a pilot project conducted to better estimate supermarket DR potential. Previous work has analyzed supermarket DR using heating, ventilating, and air conditioning (HVAC), lighting, and anti-condensate heaters. This project was concerned with evaluating DR using the refrigeration system and quantifying the DR potential inherent in supermarket refrigeration systems. Ancillary aims of the project were to identify practical barriers to the implementation of DR programs in supermarkets and to determine which high-level control strategies were most appropriate for achieving certain DR objectives. The scope of this project does not include detailed control strategy development for DR or development of a strategy for regional implementation of DR in supermarkets.

  18. Home Network Technologies and Automating Demand Response

    SciTech Connect (OSTI)

    McParland, Charles

    2009-12-01

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

  19. Strategies for Demand Response in Commercial Buildings

    SciTech Connect (OSTI)

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

    2006-06-20

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

  20. Measurement and evaluation techniques for automated demand response demonstration

    SciTech Connect (OSTI)

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

    2004-08-01

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

  1. Demand Response Quick Assessment Tool

    Energy Science and Technology Software Center (OSTI)

    2008-12-01

    DRQAT (Demand Response Quick Assessment Tool) is the tool for assessing demand response saving potentials for large commercial buildings. This tool is based on EnergyPlus simulations of prototypical buildings and HVAC equipment. The opportunities for demand reduction and cost savings with building demand responsive controls vary tremendously with building type and location. The assessment tools will predict the energy and demand savings, the economic savings, and the thermal comfor impact for various demand responsive strategies.more » Users of the tools will be asked to enter the basic building information such as types, square footage, building envelope, orientation, utility schedule, etc. The assessment tools will then use the prototypical simulation models to calculate the energy and demand reduction potential under certain demand responsive strategies, such as precooling, zonal temperature set up, and chilled water loop and air loop set points adjustment.« less

  2. Residential Demand Response

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

    in-home displays with controllable home area network capabilities and thermal storage devices for home heating. Goals and objectives: Reduce the City's NCP demand above...

  3. Demand Response Research Center and Open Automated Demand Response

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

    ...penAutomatedDemandResponse Signaling-conInuous,2-way, ... Dedicated Display Cell Phone Web TV SmartMeter (ItronorSilverSpring) ...

  4. Demand Response Programs, 6. edition

    SciTech Connect (OSTI)

    2007-10-15

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

  5. Demand Response Technology Roadmap A

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

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

  6. Demand Response for Ancillary Services

    SciTech Connect (OSTI)

    Alkadi, Nasr E; Starke, Michael R

    2013-01-01

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

  7. Demand Response Resources for Energy and Ancillary Services (Presentation)

    SciTech Connect (OSTI)

    Hummon, M.

    2014-04-01

    Demand response (DR) resources present a potentially important source of grid flexibility particularly on future systems with high penetrations of variable wind an solar power generation. However, DR in grid models is limited by data availability and modeling complexity. This presentation focuses on the co-optimization of DR resources to provide energy and ancillary services in a production cost model of the Colorado test system. We assume each DR resource can provide energy services by either shedding load or shifting its use between different times, as well as operating

  8. Detailed Modeling and Response of Demand Response Enabled Appliances

    SciTech Connect (OSTI)

    Vyakaranam, Bharat; Fuller, Jason C.

    2014-04-14

    Proper modeling of end use loads is very important in order to predict their behavior, and how they interact with the power system, including voltage and temperature dependencies, power system and load control functions, and the complex interactions that occur between devices in such an interconnected system. This paper develops multi-state time variant residential appliance models with demand response enabled capabilities in the GridLAB-DTM simulation environment. These models represent not only the baseline instantaneous power demand and energy consumption, but the control systems developed by GE Appliances to enable response to demand response signals and the change in behavior of the appliance in response to the signal. These DR enabled appliances are simulated to estimate their capability to reduce peak demand and energy consumption.

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

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

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

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

    SciTech Connect (OSTI)

    Douglas C. Larson; Matt Lowry; Sharon Irwin

    2004-06-29

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

  11. Demand Response for Ancillary Services

    Broader source: Energy.gov [DOE]

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

  12. Value of Demand Response: Quantities from Production Cost Modeling (Presentation)

    SciTech Connect (OSTI)

    Hummon, M.

    2014-04-01

    Demand response (DR) resources present a potentially important source of grid flexibility particularly on future systems with high penetrations of variable wind and solar power generation. However, managed loads in grid models are limited by data availability and modeling complexity. This presentation focuses on the value of co-optimized DR resources to provide energy and ancillary services in a production cost model. There are significant variations in the availabilities of different types of DR resources, which affect both the operational savings as well as the revenue for each DR resource. The results presented include the system-wide avoided fuel and generator start-up costs as well as the composite revenue for each DR resource by energy and operating reserves. In addition, the revenue is characterized by the capacity, energy, and units of DR enabled.

  13. Opportunities for Automated Demand Response in California Wastewater Treatment Facilities

    SciTech Connect (OSTI)

    Aghajanzadeh, Arian; Wray, Craig; McKane, Aimee

    2015-08-30

    Previous research over a period of six years has identified wastewater treatment facilities as good candidates for demand response (DR), automated demand response (Auto-­DR), and Energy Efficiency (EE) measures. This report summarizes that work, including the characteristics of wastewater treatment facilities, the nature of the wastewater stream, energy used and demand, as well as details of the wastewater treatment process. It also discusses control systems and automated demand response opportunities. Furthermore, this report summarizes the DR potential of three wastewater treatment facilities. In particular, Lawrence Berkeley National Laboratory (LBNL) has collected data at these facilities from control systems, submetered process equipment, utility electricity demand records, and governmental weather stations. The collected data were then used to generate a summary of wastewater power demand, factors affecting that demand, and demand response capabilities. These case studies show that facilities that have implemented energy efficiency measures and that have centralized control systems are well suited to shed or shift electrical loads in response to financial incentives, utility bill savings, and/or opportunities to enhance reliability of service. In summary, municipal wastewater treatment energy demand in California is large, and energy-­intensive equipment offers significant potential for automated demand response. In particular, large load reductions were achieved by targeting effluent pumps and centrifuges. One of the limiting factors to implementing demand response is the reaction of effluent turbidity to reduced aeration at an earlier stage of the process. Another limiting factor is that cogeneration capabilities of municipal facilities, including existing power purchase agreements and utility receptiveness to purchasing electricity from cogeneration facilities, limit a facility’s potential to participate in other DR activities.

  14. Demand Response Opportunities in Industrial Refrigerated Warehouses in California

    SciTech Connect (OSTI)

    Goli, Sasank; McKane, Aimee; Olsen, Daniel

    2011-06-14

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

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

    SciTech Connect (OSTI)

    McKane, Aimee T.; Piette, Mary Ann; Faulkner, David; Ghatikar, Girish; Radspieler Jr., Anthony; Adesola, Bunmi; Murtishaw, Scott; Kiliccote, Sila

    2008-01-31

    In 2006 the Demand Response Research Center (DRRC) formed an Industrial Demand Response Team to investigate opportunities and barriers to implementation of Automated Demand Response (Auto-DR) systems in California industries. Auto-DR is an open, interoperable communications and technology platform designed to: Provide customers with automated, electronic price and reliability signals; Provide customers with capability to automate customized DR strategies; Automate DR, providing utilities with dispatchable operational capability similar to conventional generation resources. This research began with a review of previous Auto-DR research on the commercial sector. Implementing Auto-DR in industry presents a number of challenges, both practical and perceived. Some of these include: the variation in loads and processes across and within sectors, resource-dependent loading patterns that are driven by outside factors such as customer orders or time-critical processing (e.g. tomato canning), the perceived lack of control inherent in the term 'Auto-DR', and aversion to risk, especially unscheduled downtime. While industry has demonstrated a willingness to temporarily provide large sheds and shifts to maintain grid reliability and be a good corporate citizen, the drivers for widespread Auto-DR will likely differ. Ultimately, most industrial facilities will balance the real and perceived risks associated with Auto-DR against the potential for economic gain through favorable pricing or incentives. Auto-DR, as with any ongoing industrial activity, will need to function effectively within market structures. The goal of the industrial research is to facilitate deployment of industrial Auto-DR that is economically attractive and technologically feasible. Automation will make DR: More visible by providing greater transparency through two-way end-to-end communication of DR signals from end-use customers; More repeatable, reliable, and persistent because the automated controls strategies that are 'hardened' and pre-programmed into facility's software and hardware; More affordable because automation can help reduce labor costs associated with manual DR strategies initiated by facility staff and can be used for long-term.

  16. Large Customers (DR Sellers)

    SciTech Connect (OSTI)

    Kiliccot, Sila

    2011-10-25

    State of the large customers for demand response integration of solar and wind into electric grid; openADR; CAISO; DR as a pseudo generation; commercial and industrial DR strategies; California regulations

  17. The Impact of Uncertain Physical Parameters on HVAC Demand Response

    SciTech Connect (OSTI)

    Sun, Yannan; Elizondo, Marcelo A.; Lu, Shuai; Fuller, Jason C.

    2014-03-01

    HVAC units are currently one of the major resources providing demand response (DR) in residential buildings. Models of HVAC with DR function can improve understanding of its impact on power system operations and facilitate the deployment of DR technologies. This paper investigates the importance of various physical parameters and their distributions to the HVAC response to DR signals, which is a key step to the construction of HVAC models for a population of units with insufficient data. These parameters include the size of floors, insulation efficiency, the amount of solid mass in the house, and efficiency of the HVAC units. These parameters are usually assumed to follow Gaussian or Uniform distributions. We study the effect of uncertainty in the chosen parameter distributions on the aggregate HVAC response to DR signals, during transient phase and in steady state. We use a quasi-Monte Carlo sampling method with linear regression and Prony analysis to evaluate sensitivity of DR output to the uncertainty in the distribution parameters. The significance ranking on the uncertainty sources is given for future guidance in the modeling of HVAC demand response.

  18. Pinpoint Power DR LLC | Open Energy Information

    Open Energy Info (EERE)

    LLC Jump to: navigation, search Name: Pinpoint Power DR LLC Place: Massachusetts Product: Demand response provider. References: Pinpoint Power DR LLC1 This article is a stub. You...

  19. Open Automated Demand Response for Small Commerical Buildings

    SciTech Connect (OSTI)

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

    2009-05-01

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

  20. Demand Response - Policy | Department of Energy

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

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

  1. Assessment of Industrial Load for Demand Response across Western Interconnect

    SciTech Connect (OSTI)

    Alkadi, Nasr E; Starke, Michael R; Ma, Ookie

    2013-11-01

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

  2. Dr

    Gasoline and Diesel Fuel Update (EIA)

    Dr. Dale M. Nesbitt 27121 Adonna Ct. Los Altos Hills, CA 94022 (650) 218-3069 Mobile (650) 948-3396 FAX dalenesbitt@att.net Page 2 March 22, 2012 Property of Dale M. Nesbitt All Rights Reserved Dr. Nesbitt began his career at the Xerox Palo Alto Research Center (PARC) as an analyst in the Management Systems Department (employee ID 70.) He moved to Stanford Research Institute (SRI) in 1974, where he worked on the seminal energy models the SRI-Gulf Model and the SRI World Energy Model and became

  3. Advanced Control Technologies and Strategies Linking DemandResponse and Energy Efficiency

    SciTech Connect (OSTI)

    Kiliccote, Sila; Piette, Mary Ann

    2005-09-02

    This paper presents a preliminary framework to describe how advanced controls can support multiple modes of operations including both energy efficiency and demand response (DR). A general description of DR, its benefits, and nationwide status is outlined. The role of energy management and control systems for DR is described. Building systems such as HVAC and lighting that utilize control technologies and strategies for energy efficiency are mapped on to DR and demand shedding strategies are developed. Past research projects are presented to provide a context for the current projects. The economic case for implementing DR from a building owner perspective is also explored.

  4. Grid Integration of Aggregated Demand Response, Part 2: Modeling Demand Response in a Production Cost Model

    Broader source: Energy.gov [DOE]

    Renewable integration studies have evaluated many challenges associated with deploying large amounts of variable wind and solar generation technologies. These studies can evaluate operational impacts associated with variable generation, benefits of improved wind and solar resource forecasting, and trade-offs between institutional changes, including increasing balancing area cooperation and technical changes such as installing new flexible generation. Demand response (DR) resources present a potentially important source of grid flexibility and can aid in integrating variable generation; however, integration analyses have not yet incorporated these resources explicitly into grid simulation models as part of a standard toolkit for resource planners.

  5. Northwest Open Automated Demand Response Technology Demonstration Project

    SciTech Connect (OSTI)

    Kiliccote, Sila; Piette, Mary Ann; Dudley, Junqiao

    2010-03-17

    The Lawrence Berkeley National Laboratory (LBNL) Demand Response Research Center (DRRC) demonstrated and evaluated open automated demand response (OpenADR) communication infrastructure to reduce winter morning and summer afternoon peak electricity demand in commercial buildings the Seattle area. LBNL performed this demonstration for the Bonneville Power Administration (BPA) in the Seattle City Light (SCL) service territory at five sites: Seattle Municipal Tower, Seattle University, McKinstry, and two Target stores. This report describes the process and results of the demonstration. OpenADR is an information exchange model that uses a client-server architecture to automate demand-response (DR) programs. These field tests evaluated the feasibility of deploying fully automated DR during both winter and summer peak periods. DR savings were evaluated for several building systems and control strategies. This project studied DR during hot summer afternoons and cold winter mornings, both periods when electricity demand is typically high. This is the DRRC project team's first experience using automation for year-round DR resources and evaluating the flexibility of commercial buildings end-use loads to participate in DR in dual-peaking climates. The lessons learned contribute to understanding end-use loads that are suitable for dispatch at different times of the year. The project was funded by BPA and SCL. BPA is a U.S. Department of Energy agency headquartered in Portland, Oregon and serving the Pacific Northwest. BPA operates an electricity transmission system and markets wholesale electrical power at cost from federal dams, one non-federal nuclear plant, and other non-federal hydroelectric and wind energy generation facilities. Created by the citizens of Seattle in 1902, SCL is the second-largest municipal utility in America. SCL purchases approximately 40% of its electricity and the majority of its transmission from BPA through a preference contract. SCL also provides ancillary services within its own balancing authority. The relationship between BPA and SCL creates a unique opportunity to create DR programs that address both BPA's and SCL's markets simultaneously. Although simultaneously addressing both market could significantly increase the value of DR programs for BPA, SCL, and the end user, establishing program parameters that maximize this value is challenging because of complex contractual arrangements and the absence of a central Independent System Operator or Regional Transmission Organization in the northwest.

  6. Coordination of Energy Efficiency and Demand Response

    SciTech Connect (OSTI)

    none,

    2010-01-01

    Summarizes existing research and discusses current practices, opportunities, and barriers to coordinating energy efficiency and demand response programs.

  7. Demand Response in the ERCOT Markets

    SciTech Connect (OSTI)

    Patterson, Mark

    2011-10-25

    ERCOT grid serves 85% of Texas load over 40K+ miles transmission line. Demand response: voluntary load response, load resources, controllable load resources, and emergency interruptible load service.

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

    SciTech Connect (OSTI)

    Koch, Ed; Piette, Mary Ann

    2009-11-06

    Direct load control (DLC) refers to the scenario where third party entities outside the home or facility are responsible for deciding how and when specific customer loads will be controlled in response to Demand Response (DR) events on the electric grid. Examples of third parties responsible for performing DLC may be Utilities, Independent System Operators (ISO), Aggregators, or third party control companies. DLC can be contrasted with facility centric load control (FCLC) where the decisions for how loads are controlled are made entirely within the facility or enterprise control systems. In FCLC the facility owner has more freedom of choice in how to respond to DR events on the grid. Both approaches are in use today in automation of DR and both will continue to be used in future market segments including industrial, commercial and residential facilities. This paper will present a framework which can be used to differentiate between DLC and FCLC based upon where decisions are made on how specific loads are controlled in response to DR events. This differentiation is then used to compare and contrast the differences between DLC and FCLC to identify the impact each has on:(1)Utility/ISO and third party systems for managing demand response, (2)Facility systems for implementing load control, (3)Communications networks for interacting with the facility and (4)Facility operators and managers. Finally a survey of some of the existing DR related specifications and communications standards is given and their applicability to DLC or FCLC. In general FCLC adds more cost and responsibilities to the facilities whereas DLC represents higher costs and complexity for the Utility/ISO. This difference is primarily due to where the DR Logic is implemented and the consequences that creates. DLC may be more certain than FCLC because it is more predictable - however as more loads have the capability to respond to DR signals, people may prefer to have their own control of end-use loads and FCLC systems. Research is needed to understand the predictability of FCLC which is related to the perceived value of the DR from the facility manager or home owner's perspective.

  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

    2009-02-28

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

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

    SciTech Connect (OSTI)

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

    2013-07-01

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

  11. Demand response pilot event conducted August 2,2011 : summary report.

    SciTech Connect (OSTI)

    Lincoln, Donald; Evans, Christoper

    2012-01-01

    Energy management in a commercial facility can be segregated into two areas: energy efficiency and demand response (DR). Energy efficiency focuses on steady-state load minimization. Demand response reduces load for event driven periods during the peak load. Demand-response-driven changes in electricity use are designed to be short-term in nature, centered on critical hours during the day when demand is high or when the electricity supplier's reserve margins are low. Due to the recent Federal Energy Regulatory Commission (FERC) Order 745, Demand Response Compensation in Organized Wholesale Energy Markets the potential annual compensation to Sandia National Laboratories (SNL) from performing DR ranges from $300K to $2,400K. While the current energy supply contract does not offer any compensation for participating in DR, there is benefit in understanding the issues and potential value in performing a DR event. This Report will be helpful in upcoming energy supply contract negotiations to quantify the energy savings and power reduction potential from DR at SNL. On August 25, 2011 the Facilities Management and Operations Center (FMOC) performed the first DR pilot event at SNL/NM. This report describes the details and results of this DR event.

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

    SciTech Connect (OSTI)

    Lawrence Berkeley National Laboratory; Kiliccote, Sila

    2011-11-18

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

  13. Dr

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

    Till Popp is a mineralogist working since 1986 in the field of hydro-mechanical investigations on salt and crystalline rocks in the lab and in-situ scale. He earned his PhD with a petro-physical study about elastic and electrical properties of fluid-bearing crustal rocks. Since 2003 he is appointed at the Institut für Gebirgsmechanik GmbH Leipzig (IfG) as project manager, mostly responsible for research projects aiming on disposal of radioactive and toxic waste in salt and argillaceous

  14. Electric Water Heater Modeling and Control Strategies for Demand Response

    SciTech Connect (OSTI)

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

    2012-07-22

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

  15. NCEP_Demand_Response_Draft_111208.indd

    Office of Environmental Management (EM)

    National Council on Electricity Policy: Electric Transmission Series for State Offi cials Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Offi cials Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Offi cials Prepared by the U.S. Demand Response Coordinating Committee for The National Council on Electricity Policy Fall 2008 i National Council on Electricity Policy: Electric

  16. Demand Response and Energy Storage Integration Study

    Broader source: Energy.gov [DOE]

    Demand response and energy storage resources present potentially important sources of bulk power system services that can aid in integrating variable renewable generation. While renewable...

  17. Energy Efficiency, Demand Response, and Volttron

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

    ENERGY EFFICIENCY, DEMAND RESPONSE, AND VOLTTRON Presented by Justin Sipe SEEMINGLY SIMPLE STATEMENTS Utilities need more capacity to handle growth on the grid ...

  18. BPA, Energy Northwest launch demand response pilot

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

    BPA-Energy-Northwest-launch-demand-response-pilot Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand...

  19. Regulation Services with Demand Response - Energy Innovation...

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

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

  20. Distributed Automated Demand Response - Energy Innovation Portal

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

    Energy Analysis Energy Analysis Electricity Transmission Electricity Transmission Find More Like This Return to Search Distributed Automated Demand Response Lawrence Livermore ...

  1. Demand Response (transactional control) - Energy Innovation Portal

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

    Energy Analysis Energy Analysis Electricity Transmission Electricity Transmission Find More Like This Return to Search Demand Response (transactional control) Pacific Northwest ...

  2. 2010 Assessment of Demand Response and Advanced Metering - Staff...

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

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

  3. Autonomous Demand Response for Primary Frequency Regulation

    SciTech Connect (OSTI)

    Donnelly, Matt; Trudnowski, Daniel J.; Mattix, S.; Dagle, Jeffery E.

    2012-02-28

    The research documented within this report examines the use of autonomous demand response to provide primary frequency response in an interconnected power grid. The work builds on previous studies in several key areas: it uses a large realistic model (i.e., the interconnection of the western United States and Canada); it establishes a set of metrics that can be used to assess the effectiveness of autonomous demand response; and it independently adjusts various parameters associated with using autonomous demand response to assess effectiveness and to examine possible threats or vulnerabilities associated with the technology.

  4. Demonstration of automated price response in large customers in New York City using Auto-DR and OpenADR

    SciTech Connect (OSTI)

    Kim, Joyce Jihyun; Schetrit, Oren; Yin, Rongxin; Kiliccote, Sila

    2014-05-01

    Demand response (DR) – allowing customers to respond to reliability requests and market prices by changing electricity use from their normal consumption pattern – continues to be seen as an attractive means of demand-side management and a fundamental smart-grid improvement that links supply and demand. From October 2011 to December 2013, the Demand Response Research Center at Lawrence Berkeley National Laboratory, the New York State Energy Research and Development Authority, and partners Honeywell and Akuacom, have conducted a demonstration project enabling Automated Demand Response (Auto-DR) in large commercial buildings located in New York City using Open Automated Demand Response (OpenADR) communication protocols. In particular, this project focuses on demonstrating how the OpenADR platform, enabled by Akuacom, can automate and simplify interactions between buildings and various stakeholders in New York State and enable the automation of customers’ price response to yield bill savings under dynamic pricing. In this paper, the cost control opportunities under day-ahead hourly pricing and Auto-DR control strategies are presented for four demonstration buildings; present the breakdown of Auto-DR enablement costs; summarize the field test results and their load impact; and show potential bill savings by enabling automated price response under Consolidated Edison’s Mandatory Hourly Pricing (MHP) tariff. For one of the sites, the potential bill savings at the site’s current retail rate are shown. Facility managers were given granular equipment-level opt-out capability to ensure full control of the sites during the Auto-DR implementation. The expected bill savings ranged from 1.1% to 8.0% of the total MHP bill. The automation and enablement costs ranged from $70 to $725 per kW shed. The results show that OpenADR can facilitate the automation of price response, deliver savings to the customers and opt-out capability of the implementation retains control of the sites by facility managers.

  5. Effects of Granular Control on Customers’ Perspective and Behavior with Automated Demand Response Systems

    SciTech Connect (OSTI)

    Schetrit, Oren; Kim, Joyce; Yin, Rongxin; Kiliccote, Sila

    2014-08-01

    Automated demand response (Auto-DR) is expected to close the loop between buildings and the grid by providing machine-to-machine communications to curtail loads without the need for human intervention. Hence, it can offer more reliable and repeatable demand response results to the grid than the manual approach and make demand response participation a hassle-free experience for customers. However, many building operators misunderstand Auto-DR and are afraid of losing control over their building operation. To ease the transition from manual to Auto-DR, we designed and implemented granular control of Auto-DR systems so that building operators could modify or opt out of individual load-shed strategies whenever they wanted. This paper reports the research findings from this effort demonstrated through a field study in large commercial buildings located in New York City. We focused on (1) understanding how providing granular control affects building operators’ perspective on Auto-DR, and (2) evaluating the usefulness of granular control by examining their interaction with the Auto-DR user interface during test events. Through trend log analysis, interviews, and surveys, we found that: (1) the opt-out capability during Auto-DR events can remove the feeling of being forced into load curtailments and increase their willingness to adopt Auto-DR; (2) being able to modify individual load-shed strategies allows flexible Auto-DR participation that meets the building’s changing operational requirements; (3) a clear display of automation strategies helps building operators easily identify how Auto-DR is functioning and can build trust in Auto-DR systems.

  6. Coordination of Energy Efficiency and Demand Response

    SciTech Connect (OSTI)

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

    2010-01-29

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

  7. Demand Response and Energy Storage Integration Study

    Broader source: Energy.gov [DOE]

    This study is a multi-national laboratory effort to assess the potential value of demand response and energy storage to electricity systems with different penetration levels of variable renewable...

  8. Measuring the capacity impacts of demand response

    SciTech Connect (OSTI)

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

    2009-07-15

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

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

    SciTech Connect (OSTI)

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

    2004-03-30

    This report describes the results of a research project 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 electric grid reliability, manage electricity costs, and ensure that customers receive signals that encourage load reduction during times when the electric grid is near its capacity. The two main drivers for widespread demand responsiveness are the prevention of future electricity crises and the reduction of electricity prices. Additional goals for price responsiveness include equity through cost of service pricing, and customer control of electricity usage and bills. The technology developed and evaluated in this report could be used to support numerous forms of DR programs and tariffs. For the purpose of this report, we have defined three levels of Demand Response automation. Manual Demand Response involves manually turning off lights or equipment; this can be a labor-intensive approach. Semi-Automated Response involves the use of building energy management control systems for load shedding, where a preprogrammed load shedding strategy is initiated by facilities staff. Fully-Automated Demand Response is initiated at a building or facility through receipt of an external communications signal--facility staff set up a pre-programmed load shedding strategy which is automatically initiated by the system without the need for human intervention. We have defined this approach to be Auto-DR. An important concept in Auto-DR is that a facility manager is able to ''opt out'' or ''override'' an individual DR event if it occurs at a time when the reduction in end-use services is not desirable. This project sought to improve the feasibility and nature of Auto-DR strategies in large facilities. The research focused on technology development, testing, characterization, and evaluation relating to Auto-DR. This evaluation also included the related decisionmaking perspectives of the facility owners and managers. Another goal of this project was to develop and test a real-time signal for automated demand response that provided a common communication infrastructure for diverse facilities. The six facilities recruited for this project were selected from the facilities that received CEC funds for new DR technology during California's 2000-2001 electricity crises (AB970 and SB-5X).

  10. Northwest Open Automated Demand Response Technology Demonstration Project

    SciTech Connect (OSTI)

    Kiliccote, Sila; Dudley, Junqiao Han; Piette, Mary Ann

    2009-08-01

    Lawrence Berkeley National Laboratory (LBNL) and the Demand Response Research Center (DRRC) performed a technology demonstration and evaluation for Bonneville Power Administration (BPA) in Seattle City Light's (SCL) service territory. This report summarizes the process and results of deploying open automated demand response (OpenADR) in Seattle area with winter morning peaking commercial buildings. The field tests were designed to evaluate the feasibility of deploying fully automated demand response (DR) in four to six sites in the winter and the savings from various building systems. The project started in November of 2008 and lasted 6 months. The methodology for the study included site recruitment, control strategy development, automation system deployment and enhancements, and evaluation of sites participation in DR test events. LBNL subcontracted McKinstry and Akuacom for this project. McKinstry assisted with recruitment, site survey collection, strategy development and overall participant and control vendor management. Akuacom established a new server and enhanced its operations to allow for scheduling winter morning day-of and day-ahead events. Each site signed a Memorandum of Agreement with SCL. SCL offered each site $3,000 for agreeing to participate in the study and an additional $1,000 for each event they participated. Each facility and their control vendor worked with LBNL and McKinstry to select and implement control strategies for DR and developed their automation based on the existing Internet connectivity and building control system. Once the DR strategies were programmed, McKinstry commissioned them before actual test events. McKinstry worked with LBNL to identify control points that can be archived at each facility. For each site LBNL collected meter data and trend logs from the energy management and control system. The communication system allowed the sites to receive day-ahead as well as day-of DR test event signals. Measurement of DR was conducted using three different baseline models for estimation peak load reductions. One was three-in-ten baseline, which is based on the site electricity consumption from 7 am to 10 am for the three days with the highest consumption of the previous ten business days. The second model, the LBNL outside air temperature (OAT) regression baseline model, is based on OAT data and site electricity consumption from the previous ten days, adjusted using weather regressions from the fifteen-minute electric load data during each DR test event for each site. A third baseline that simply averages the available load data was used for sites less with less than 10 days of historical meter data. The evaluation also included surveying sites regarding any problems or issues that arose during the DR test events. Question covered occupant comfort, control issues and other potential problems.

  11. Retail Demand Response in Southwest Power Pool | Department of...

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

    Retail Demand Response in Southwest Power Pool Retail Demand Response in Southwest Power Pool In 2007, the Southwest Power Pool (SPP) formed the Customer Response Task Force (CRTF) ...

  12. Centralized and Decentralized Control for Demand Response

    SciTech Connect (OSTI)

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

    2011-04-29

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

  13. FERC sees huge potential for demand response

    SciTech Connect (OSTI)

    2010-04-15

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

  14. Refrigerated Warehouse Demand Response Strategy Guide

    SciTech Connect (OSTI)

    Scott, Doug; Castillo, Rafael; Larson, Kyle; Dobbs, Brian; Olsen, Daniel

    2015-11-01

    This guide summarizes demand response measures that can be implemented in refrigerated warehouses. In an appendix, it also addresses related energy efficiency opportunities. Reducing overall grid demand during peak periods and energy consumption has benefits for facility operators, grid operators, utility companies, and society. State wide demand response potential for the refrigerated warehouse sector in California is estimated to be over 22.1 Megawatts. Two categories of demand response strategies are described in this guide: load shifting and load shedding. Load shifting can be accomplished via pre-cooling, capacity limiting, and battery charger load management. Load shedding can be achieved by lighting reduction, demand defrost and defrost termination, infiltration reduction, and shutting down miscellaneous equipment. Estimation of the costs and benefits of demand response participation yields simple payback periods of 2-4 years. To improve demand response performance, it’s suggested to install air curtains and another form of infiltration barrier, such as a rollup door, for the passageways. Further modifications to increase efficiency of the refrigeration unit are also analyzed. A larger condenser can maintain the minimum saturated condensing temperature (SCT) for more hours of the day. Lowering the SCT reduces the compressor lift, which results in an overall increase in refrigeration system capacity and energy efficiency. Another way of saving energy in refrigerated warehouses is eliminating the use of under-floor resistance heaters. A more energy efficient alternative to resistance heaters is to utilize the heat that is being rejected from the condenser through a heat exchanger. These energy efficiency measures improve efficiency either by reducing the required electric energy input for the refrigeration system, by helping to curtail the refrigeration load on the system, or by reducing both the load and required energy input.

  15. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

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

    2013-10-01

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

  16. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

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

    2013-10-01

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

  17. Market and Policy Barriers for Demand Response Providing Ancillary Services

    Broader source: Energy.gov [DOE]

    In this study, we attempt to provide a comprehensive examination of various market and policy barriers to demand response providing ancillary services in both ISO/RTO and non-ISO/RTO regions, especially at the program provider level. It is useful to classify barriers in order to create a holistic understanding and identify parties that could be responsible for their removal. This study develops a typology of barriers focusing on smaller customers that must rely on a program provider (i.e., electric investor owned utility or IOU, ARC) to create an aggregated DR resource in order to bring ancillary services to the balancing authority. The barriers were identified through examinations of regulatory structures, market environments, and product offerings; and discussions with industry stakeholders and regulators.

  18. SGDP Report: Interoperability of Demand Response Resources Demonstrati...

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

    SGDP Report: Interoperability of Demand Response Resources Demonstration in NY (February 2015) SGDP Report: Interoperability of Demand Response Resources Demonstration in NY ...

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

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

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

  20. SGDP Report Now Available: Interoperability of Demand Response...

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

    SGDP Report Now Available: Interoperability of Demand Response Resources Demonstration in NY (February 2015) SGDP Report Now Available: Interoperability of Demand Response ...

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

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

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

  2. Demand Response and Energy Storage Integration Study - Past Workshops...

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

    Demand Response and Energy Storage Integration Study - Past Workshops Demand Response and Energy Storage Integration Study - Past Workshops The project was initiated and informed...

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

    SciTech Connect (OSTI)

    Granderson, Jessica; Dudley, Junqiao Han; Kiliccote, Sila; Piette, Mary Ann

    2009-10-08

    The University of California at Merced is a unique campus that has benefited from intensive efforts to maximize energy efficiency, and has participated in a demand response program for the past two years. Campus demand response evaluations are often difficult because of the complexities introduced by central heating and cooling, non-coincident and diverse building loads, and existence of a single electrical meter for the entire campus. At the University of California at Merced, a two million gallon chilled water storage system is charged daily during off-peak price periods and used to flatten the load profile during peak demand periods. This makes demand response more subtle and challenges typical evaluation protocols. The goal of this research is to study demand response savings in the presence of storage systems in a campus setting. First, University of California at Merced summer electric loads are characterized; second, its participation in two demand response events is detailed. In each event a set of strategies were pre-programmed into the campus control system to enable semi-automated response. Finally, demand savings results are applied to the utility's DR incentives structure to calculate the financial savings under various DR programs and tariffs. A key conclusion to this research is that there is significant demand reduction using a zone temperature set point change event with the full off peak storage cooling in use.

  4. Demand Responsive Lighting: A Scoping Study

    SciTech Connect (OSTI)

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-03

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

  5. Energy Efficiency, Demand Response, and Volttron

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

    ENERGY EFFICIENCY, DEMAND RESPONSE, AND VOLTTRON Presented by Justin Sipe      SEEMINGLY SIMPLE STATEMENTS Utilities need more capacity to handle growth on the grid Utilities need to balance the load on the grid for stability Business want lower their operating expenses. Business want remote control over their facilities How can bring these different users together to accomplish these goals Transformative Wave | 1012 Central Ave S Kent, WA 98032 |

  6. Retail Demand Response in Southwest Power Pool

    Energy Savers [EERE]

    LBNL-1470E Retail Demand Response in Southwest Power Pool Ranjit Bharvirkar, Grayson Heffner and Charles Goldman Lawrence Berkeley National Laboratory Environmental Energy Technologies Division January 2009 The work described in this report was funded by the Office of Electricity Delivery and Energy Reliability, Permitting, Siting and Analysis of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY Disclaimer This document was

  7. A DISTRIBUTED INTELLIGENT AUTOMATED DEMAND RESPONSE BUILDING MANAGEMENT SYSTEM

    SciTech Connect (OSTI)

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

    2013-12-30

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

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

    Office of Environmental Management (EM)

    2010 | Department of Energy FERC Presendation: Demand Response as Power System Resources, October 29, 2010 FERC Presendation: Demand Response as Power System Resources, October 29, 2010 Federal Energy Regulatory Commission (FERC) presentation on demand response as power system resources before the Electicity Advisory Committee, October 29, 2010 PDF icon Demand Response as Power System Resources More Documents & Publications A National Forum on Demand Response: Results on What Remains to

  9. Demand Response - Policy: More Information | Department of Energy

    Office of Environmental Management (EM)

    Demand Response - Policy: More Information Demand Response - Policy: More Information OE's commitment to ensuring non-wires options to modernize the nation's electricity delivery system includes ongoing support of a number of national and regional activities in support of demand response. The New England Demand Response Initiative (NEDRI), OE's initial endeavor to assist states with non-wire solutions, was created to develop a comprehensive, coordinated set of demand response programs for the

  10. Assessing the Control Systems Capacity for Demand Response in California Industries

    SciTech Connect (OSTI)

    Ghatikar, Girish; McKane, Aimee; Goli, Sasank; Therkelsen, Peter; Olsen, Daniel

    2012-01-18

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

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

    SciTech Connect (OSTI)

    Chao, Hung-po

    2010-01-15

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

  12. Grid Integration of Aggregated Demand Response, Part 1: Load Availability Profiles and Constraints for the Western Interconnection

    Broader source: Energy.gov [DOE]

    Demand response (DR) has the potential to improve electric grid reliability and reduce system operation costs. However, including DR in grid modeling can be difficult due to its variable and non-traditional response characteristics, compared to traditional generation. Therefore, efforts to value the participation of DR in procurement of grid services have been limited. In this report, we present methods and tools for predicting demand response availability profiles, representing their capability to participate in capacity, energy, and ancillary services. With the addition of response characteristics mimicking those of generation, the resulting profiles will help in the valuation of the participation of demand response through production cost modeling, which informs infrastructure and investment planning.

  13. National Action Plan on Demand Response

    Office of Environmental Management (EM)

    6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 ACTUAL FORECAST National Action Plan on Demand Response the feDeRal eneRgy RegulatoRy commission staff 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 12 6 3 9 National Action Plan on Demand Response THE FEDERAL ENERGY REGULATORY COMMISSION

  14. Demand Response: Lessons Learned with an Eye to the Future |...

    Energy Savers [EERE]

    Demand Response: Lessons Learned with an Eye to the Future Demand Response: Lessons Learned with an Eye to the Future July 11, 2013 - 11:56am Addthis Patricia A. Hoffman Patricia ...

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

    SciTech Connect (OSTI)

    Page, Janie; Kiliccote, Sila; Dudley, Junqiao Han; Piette, Mary Ann; Chiu, Albert K.; Kellow, Bashar; Koch, Ed; Lipkin, Paul

    2011-07-01

    Small and medium commercial customers in California make up about 20-25% of electric peak load in California. With the roll out of smart meters to this customer group, which enable granular measurement of electricity consumption, the investor-owned utilities will offer dynamic prices as default tariffs by the end of 2011. Pacific Gas and Electric Company, which successfully deployed Automated Demand Response (AutoDR) Programs to its large commercial and industrial customers, started investigating the same infrastructures application to the small and medium commercial customers. This project aims to identify available technologies suitable for automating demand response for small-medium commercial buildings; to validate the extent to which that technology does what it claims to be able to do; and determine the extent to which customers find the technology useful for DR purpose. Ten sites, enabled by eight vendors, participated in at least four test AutoDR events per site in the summer of 2010. The results showed that while existing technology can reliably receive OpenADR signals and translate them into pre-programmed response strategies, it is likely that better levels of load sheds could be obtained than what is reported here if better understanding of the building systems were developed and the DR response strategies had been carefully designed and optimized for each site.

  16. Implementation Proposal for the National Action Plan on Demand Response -

    Office of Environmental Management (EM)

    July 2011 | Department of Energy Implementation Proposal for the National Action Plan on Demand Response - July 2011 Implementation Proposal for the National Action Plan on Demand Response - July 2011 Report to Congress prepared by the staff of the Federal Energy Regulatory Commission (FERC) and the Department of Energy. PDF icon Implementation Proposal for the National Action Plan on Demand Response - July 2011 More Documents & Publications National Action Plan on Demand Response, June

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

    SciTech Connect (OSTI)

    Baek, Young Sun; Hadley, Stanton W

    2012-01-01

    This study analyzes the impact of the energy efficiency (EE) and demand response (DR) programs on the grid and the consequent level of production. Changes in demand caused by EE and DR programs affect not only the dispatch of existing plants and new generation technologies, the retirements of old plants, and the finances of the market. To find the new equilibrium in the market, we use the Oak Ridge Competitive Electricity Dispatch Model (ORCED) developed to simulate the operations and costs of regional power markets depending on various factors including fuel prices, initial mix of generation capacity, and customer response to electricity prices. In ORCED, over 19,000 plant units in the nation are aggregated into up to 200 plant groups per region. Then, ORCED dispatches the power plant groups in each region to meet the electricity demands for a given year up to 2035. In our analysis, we show various demand, supply, and dispatch patterns affected by EE and DR programs across regions.

  18. Demand Response Energy Consulting LLC | Open Energy Information

    Open Energy Info (EERE)

    Response Energy Consulting LLC Jump to: navigation, search Name: Demand Response & Energy Consulting LLC Place: Delanson, New York Zip: NY 12053 Sector: Efficiency Product:...

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

    SciTech Connect (OSTI)

    McKane, Aimee; Rhyne, Ivin; Piette, Mary Ann; Thompson, Lisa; Lekov, Alex

    2008-08-01

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

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

    SciTech Connect (OSTI)

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

    2009-08-01

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

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

    SciTech Connect (OSTI)

    Cappers, Peter; Mills, Andrew; Goldman, Charles; Wiser, Ryan; Eto, Joseph H.

    2011-09-10

    This scoping study focuses on the policy issues inherent in the claims made by some Smart Grid proponents that the demand response potential of mass market customers which is enabled by widespread implementation of Advanced Metering Infrastructure (AMI) through the Smart Grid could be the silver bullet for mitigating variable generation integration issues. In terms of approach, we will: identify key issues associated with integrating large amounts of variable generation into the bulk power system; identify demand response opportunities made more readily available to mass market customers through widespread deployment of AMI systems and how they can affect the bulk power system; assess the extent to which these mass market Demand Response (DR) opportunities can mitigate Variable Generation (VG) integration issues in the near-term and what electricity market structures and regulatory practices could be changed to further expand the ability for DR to mitigate VG integration issues over the long term; and provide a qualitative comparison of DR and other approaches to mitigate VG integration issues.

  2. Automated Demand Response Opportunities in Wastewater Treatment Facilities

    SciTech Connect (OSTI)

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

    2008-11-19

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

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

    Energy Savers [EERE]

    Fuels | Department of Energy Demand for Fossil Fuels Response to several FOIA requests - Renewable Energy. Demand for Fossil Fuels Response to several FOIA requests - Renewable Energy. nepdg_251_500.pdf. Demand for Fossil Fuels. Renewable sources of power. Demand for fossil fuels surely will overrun supply sooner or later, as indeed it already has in the casc of United States domestic oil drilling. Recognition also is growing that our air and land can no longer absorb unlimited quantities

  4. Understanding the Effect of Baseline Modeling Implementation Choices on Analysis of Demand Response Performance

    SciTech Connect (OSTI)

    University of California, Berkeley; Addy, Nathan; Kiliccote, Sila; Mathieu, Johanna; Callaway, Duncan S.

    2012-06-13

    Accurate evaluation of the performance of buildings participating in Demand Response (DR) programs is critical to the adoption and improvement of these programs. Typically, we calculate load sheds during DR events by comparing observed electric demand against counterfactual predictions made using statistical baseline models. Many baseline models exist and these models can produce different shed calculations. Moreover, modelers implementing the same baseline model can make different modeling implementation choices, which may affect shed estimates. In this work, using real data, we analyze the effect of different modeling implementation choices on shed predictions. We focused on five issues: weather data source, resolution of data, methods for determining when buildings are occupied, methods for aligning building data with temperature data, and methods for power outage filtering. Results indicate sensitivity to the weather data source and data filtration methods as well as an immediate potential for automation of methods to choose building occupied modes.

  5. Opportunities for Automated Demand Response in California Agricultural Irrigation

    SciTech Connect (OSTI)

    Olsen, Daniel; Aghajanzadeh, Arian; McKane, Aimee

    2015-08-01

    Pumping water for agricultural irrigation represents a significant share of California’s annual electricity use and peak demand. It also represents a large source of potential flexibility, as farms possess a form of storage in their wetted soil. By carefully modifying their irrigation schedules, growers can participate in demand response without adverse effects on their crops. This report describes the potential for participation in demand response and automated demand response by agricultural irrigators in California, as well as barriers to widespread participation. The report first describes the magnitude, timing, location, purpose, and manner of energy use in California. Typical on-­farm controls are discussed, as well as common impediments to participation in demand response and automated demand response programs. Case studies of demand response programs in California and across the country are reviewed, and their results along with overall California demand estimates are used to estimate statewide demand response potential. Finally, recommendations are made for future research that can enhance the understanding of demand response potential in this industry.

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

    SciTech Connect (OSTI)

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

    2014-09-05

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

  7. SGDP Report: Interoperability of Demand Response Resources Demonstration in

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

    NY (February 2015) | Department of Energy SGDP Report: Interoperability of Demand Response Resources Demonstration in NY (February 2015) SGDP Report: Interoperability of Demand Response Resources Demonstration in NY (February 2015) The Interoperability of Demand Response Resources Demonstration in NY was awarded to Con Edison in 2009 as part of DOE's Smart Grid Demonstration Project (SGDP) grants funded by the Recovery Act. The objective of the project was to develop and demonstrate

  8. Demand Response National Trends: Implications for the West? | Department of

    Office of Environmental Management (EM)

    Energy National Trends: Implications for the West? Demand Response National Trends: Implications for the West? Committee on Regional Electric Power Cooperation. San Francisco, CA. March 25, 2004 PDF icon Demand Response National Trends: Implications for the West? More Documents & Publications Demand Response in U.S. Electricity Markets: Empirical Evidence Technical Assistance to ISO's and Grid Operators For Loads Providing Ancillary Services To Enhance Grid Reliability Transmission

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

    Open Energy Info (EERE)

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

  10. Opportunities for Mass Market Demand Response to Provide Ancillary Services

    SciTech Connect (OSTI)

    Pratt, Rob; Najewicz, Dave

    2011-10-01

    Discusses what is meant by mass market demand response to provide ancillary services and outlines opportunities for adoption, and barriers to adoption.

  11. EnergySolve Demand Response | Open Energy Information

    Open Energy Info (EERE)

    Demand Response Place: Somerset, New Jersey Product: Somerset-based utility bill outsourcing company that provides electronic utility bill auditing, tariff analysis, late fee...

  12. Benefits of Demand Response in Electricity Markets and Recommendations...

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

    Demand Response in Electricity Markets and Recommendations for Achieving Them. A report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act of 2005 ...

  13. Automated Demand Response Benefits California Utilities and Commercial...

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

    U.S. Department of Energy |September 2014 Automated Demand Response Benefits California Utilities and Commercial & Industrial Customers Page 1 Under the American Recovery and ...

  14. Estimating Demand Response Market Potential | Open Energy Information

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontentestimating-demand-response-market-pot Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible...

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

    SciTech Connect (OSTI)

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

    2006-06-20

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

  16. Progress toward Producing Demand-Response-Ready Appliances

    SciTech Connect (OSTI)

    Hammerstrom, Donald J.; Sastry, Chellury

    2009-12-01

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

  17. Barrier Immune Radio Communications for Demand Response

    SciTech Connect (OSTI)

    Rubinstein, Francis; Ghatikar, Girish; Granderson, Jessica; Haugen, Paul; Romero, Carlos; Watson, David

    2009-02-01

    Various wireless technologies were field-tested in a six-story laboratory building to identify wireless technologies that can scale for future DR applications through very low node density power consumption, and unit cost. Data analysis included analysis of the signal-to-noise ratio (SNR), packet loss, and link quality at varying power levels and node densities. The narrowband technologies performed well, penetrating the floors of the building with little loss and exhibiting better range than the wideband technology. 900 MHz provided full coverage at 1 watt and substantially complete coverage at 500 mW at the test site. 900 MHz was able to provide full coverage at 100 mW with only one additional relay transmitter, and was the highest-performing technology in the study. 2.4 GHz could not provide full coverage with only a single transmitter at the highest power level tested (63 mW). However, substantially complete coverage was provided at 2.4 GHz at 63 mW with the addition of one repeater node.

  18. Interoperability of Demand Response Resources Demonstration in NY

    SciTech Connect (OSTI)

    Wellington, Andre

    2014-03-31

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

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

    SciTech Connect (OSTI)

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

    2010-12-22

    This study examines the characteristics of cement plants and their ability to shed or shift load to participate in demand response (DR). Relevant factors investigated include the various equipment and processes used to make cement, the operational limitations cement plants are subject to, and the quantities and sources of energy used in the cement-making process. Opportunities for energy efficiency improvements are also reviewed. The results suggest that cement plants are good candidates for DR participation. The cement industry consumes over 400 trillion Btu of energy annually in the United States, and consumes over 150 MW of electricity in California alone. The chemical reactions required to make cement occur only in the cement kiln, and intermediate products are routinely stored between processing stages without negative effects. Cement plants also operate continuously for months at a time between shutdowns, allowing flexibility in operational scheduling. In addition, several examples of cement plants altering their electricity consumption based on utility incentives are discussed. Further study is needed to determine the practical potential for automated demand response (Auto-DR) and to investigate the magnitude and shape of achievable sheds and shifts.

  20. Demand-Side Response from Industrial Loads

    SciTech Connect (OSTI)

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

    2013-01-01

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

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

    SciTech Connect (OSTI)

    Piette, Mary Ann; Kiliccote, Sila; Dudley, Junqiao H.

    2011-11-11

    There are growing strains on the electric grid as cooling peaks grow and equipment ages. Increased penetration of renewables on the grid is also straining electricity supply systems and the need for flexible demand is growing. This paper summarizes results of a series of field test of automated demand response systems in large buildings in the Pacific Northwest. The objective of the research was two fold. One objective was to evaluate the use demand response automation technologies. A second objective was to evaluate control strategies that could change the electric load shape in both winter and summer conditions. Winter conditions focused on cold winter mornings, a time when the electric grid is often stressed. The summer test evaluated DR strategies in the afternoon. We found that we could automate both winter and summer control strategies with the open automated demand response communication standard. The buildings were able to provide significant demand response in both winter and summer events.

  2. Analysis of Open Automated Demand Response Deployments in California and Guidelines to Transition to Industry Standards

    SciTech Connect (OSTI)

    Ghatikar, Girish; Riess, David; Piette, Mary Ann

    2014-01-02

    This report reviews the Open Automated Demand Response (OpenADR) deployments within the territories serviced by California?s investor-owned utilities (IOUs) and the transition from the OpenADR 1.0 specification to the formal standard?OpenADR 2.0. As demand response service providers and customers start adopting OpenADR 2.0, it is necessary to ensure that the existing Automated Demand Response (AutoDR) infrastructure investment continues to be useful and takes advantage of the formal standard and its many benefits. This study focused on OpenADR deployments and systems used by the California IOUs and included a summary of the OpenADR deployment from the U.S. Department of Energy-funded demonstration conducted by the Sacramento Municipal Utility District (SMUD). Lawrence Berkeley National Laboratory collected and analyzed data about OpenADR 1.0 deployments, categorized architectures, developed a data model mapping to understand the technical compatibility of each version, and compared the capabilities and features of the two specifications. The findings, for the first time, provided evidence of the total enabled load shed and average first cost for system enablement in the IOU and SMUD service territories. The OpenADR 2.0a profile specification semantically supports AutoDR system architectures and data propagation with a testing and certification program that promotes interoperability, scaled deployments by multiple vendors, and provides additional features that support future services.

  3. Demand response compensation, net Benefits and cost allocation: comments

    SciTech Connect (OSTI)

    Hogan, William W.

    2010-11-15

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

  4. Analysis of Residential Demand Response and Double-Auction Markets

    SciTech Connect (OSTI)

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

    2011-10-10

    Demand response and dynamic pricing programs are expected to play increasing roles in the modern Smart Grid environment. While direct load control of end-use loads has existed for decades, price driven response programs are only beginning to be explored at the distribution level. These programs utilize a price signal as a means to control demand. Active markets allow customers to respond to fluctuations in wholesale electrical costs, but may not allow the utility to control demand. Transactive markets, utilizing distributed controllers and a centralized auction can be used to create an interactive system which can limit demand at key times on a distribution system, decreasing congestion. With the current proliferation of computing and communication resources, the ability now exists to create transactive demand response programs at the residential level. With the combination of automated bidding and response strategies coupled with education programs and customer response, emerging demand response programs have the ability to reduce utility demand and congestion in a more controlled manner. This paper will explore the effects of a residential double-auction market, utilizing transactive controllers, on the operation of an electric power distribution system.

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

    SciTech Connect (OSTI)

    Dudley, Junqiao Han; Black, Doug; Apte, Mike; Piette, Mary Ann; Berkeley, Pam

    2010-05-14

    We have studied a low energy building on a campus of the University of California. It has efficient heating, ventilation, and air conditioning (HVAC) systems, consisting of a dual-fan/dual-duct variable air volume (VAV) system. As a major building on the campus, it was included in two demand response (DR) events in the summers of 2008 and 2009. With chilled water supplied by thermal energy storage in the central plant, cooling fans played a critical role during DR events. In this paper, an EnergyPlus model of the building was developed and calibrated. We compared both whole-building and HVAC fan energy consumption with model predictions to understand why demand savings in 2009 were much lower than in 2008. We also used model simulations of the study building to assess pre-cooling, a strategy that has been shown to improve demand saving and thermal comfort in many types of building. This study indicates a properly calibrated EnergyPlus model can reasonably predict demand savings from DR events and can be useful for designing or optimizing DR strategies.

  6. National Action Plan on Demand Response, June 2010

    Broader source: Energy.gov [DOE]

    The Federal Energy Regulatory Commission (FERC) is required to develop the National Action Plan on Demand Response (National Action Plan) as outlined in section 529 of the Energy Independence and...

  7. Value of Demand Response: Quantities from Production Cost Modeling...

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

    Value of Demand Response: Quantities from Production Cost Modeling Marissa Hummon PLMA Spring 2014 April 15-16, 2014 Denver, CO NRELPR-6A20-61815 2 Background DOE-led, multiple ...

  8. Benefits of Demand Response in Electricity Markets and Recommendations for

    Energy Savers [EERE]

    Achieving Them. A report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act of 2005 (February 2006) | Department of Energy Demand Response in Electricity Markets and Recommendations for Achieving Them. A report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act of 2005 (February 2006) Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them. A report to the United States Congress Pursuant to Section

  9. A Look Ahead at Demand Response in New England

    SciTech Connect (OSTI)

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

    2008-08-01

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

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

    SciTech Connect (OSTI)

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

    2014-01-31

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

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

    Office of Environmental Management (EM)

    Department of Energy in U.S. Electricity Markets: Empirical Evidence Demand Response in U.S. Electricity Markets: Empirical Evidence The work described in this paper was funded by the Office of Electricity Delivery and Energy Reliability, Permitting, Siting and Analysis of the U.S. Department of Energy under contract No. DE-AC02-05CH11231. The authors are solely responsible for any omissions or errors contained herein. PDF icon Demand Response in U.S. Electricity Markets: Empirical Evidence

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

    SciTech Connect (OSTI)

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

    2009-02-01

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

  13. Evaluation of Representative Smart Grid Investment Project Technologies: Demand Response

    SciTech Connect (OSTI)

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

    2012-02-14

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

  14. Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty

    SciTech Connect (OSTI)

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

    2010-06-01

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

  15. Aggregate Model for Heterogeneous Thermostatically Controlled Loads with Demand Response

    SciTech Connect (OSTI)

    Zhang, Wei; Kalsi, Karanjit; Fuller, Jason C.; Elizondo, Marcelo A.; Chassin, David P.

    2012-07-22

    Due to the potentially large number of Distributed Energy Resources (DERs) demand response, distributed generation, distributed storage - that are expected to be deployed, it is impractical to use detailed models of these resources when integrated with the transmission system. Being able to accurately estimate the fast transients caused by demand response is especially important to analyze the stability of the system under different demand response strategies. On the other hand, a less complex model is more amenable to design feedback control strategies for the population of devices to provide ancillary services. The main contribution of this paper is to develop aggregated models for a heterogeneous population of Thermostatic Controlled Loads (TCLs) to accurately capture their collective behavior under demand response and other time varying effects of the system. The aggregated model efficiently includes statistical information of the population and accounts for a second order effect necessary to accurately capture the collective dynamic behavior. The developed aggregated models are validated against simulations of thousands of detailed building models using GridLAB-D (an open source distribution simulation software) under both steady state and severe dynamic conditions caused due to temperature set point changes.

  16. Demand Response and Energy Storage Integration Study- Past Workshops

    Broader source: Energy.gov [DOE]

    The project was initiated and informed by the results of two DOE workshops; one on energy storage and the other on demand response. The workshops were attended by members of the electric power industry, researchers, and policy makers; and the study design and goals reflect their contributions to the collective thinking of the project team.

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

    SciTech Connect (OSTI)

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

    2008-11-19

    The Department of Energys (DOEs) 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.

  18. Market and policy barriers for demand response providing ancillary services in U.S. markets

    SciTech Connect (OSTI)

    Cappers, Peter; MacDonald, Jason; Goldman, Charles

    2013-03-01

    This study provides an examination of various market and policy barriers to demand response providing ancillary services in both ISO/RTO and non-ISO/RTO regions, especially at the program provider level. It is useful to classify barriers in order to create a holistic understanding and identify parties that could be responsible for their removal. This study develops a typology of barriers focusing on smaller customers that must rely on a program provider (i.e., electric investor owned utility or IOU, ARC) to create an aggregated DR resource in order to bring ancillary services to the balancing authority. The barriers were identified through examinations of regulatory structures, market environments, and product offerings; and discussions with industry stakeholders and regulators. In order to help illustrate the differences in barriers among various wholesale market designs and their constituent retail environments, four regions were chosen to use as case studies: Colorado, Texas, Wisconsin, and New Jersey.

  19. Automation systems for Demand Response, ForskEL (Smart Grid Project...

    Open Energy Info (EERE)

    systems for Demand Response, ForskEL (Smart Grid Project) Jump to: navigation, search Project Name Automation systems for Demand Response, ForskEL Country Denmark Coordinates...

  20. On the Inclusion of Energy-Shifting Demand Response in Production Cost Models: Methodology and a Case Study

    SciTech Connect (OSTI)

    O'Connell, Niamh; Hale, Elaine; Doebber, Ian; Jorgenson, Jennie

    2015-07-20

    In the context of future power system requirements for additional flexibility, demand response (DR) is an attractive potential resource. Its proponents widely laud its prospective benefits, which include enabling higher penetrations of variable renewable generation at lower cost than alternative storage technologies, and improving economic efficiency. In practice, DR from the commercial and residential sectors is largely an emerging, not a mature, resource, and its actual costs and benefits need to be studied to determine promising combinations of physical DR resource, enabling controls and communications, power system characteristics, regulatory environments, market structures, and business models. The work described in this report focuses on the enablement of such analysis from the production cost modeling perspective. In particular, we contribute a bottom-up methodology for modeling load-shifting DR in production cost models. The resulting model is sufficiently detailed to reflect the physical characteristics and constraints of the underlying flexible load, and includes the possibility of capturing diurnal and seasonal variations in the resource. Nonetheless, the model is of low complexity and thus suitable for inclusion in conventional unit commitment and market clearing algorithms. The ability to simulate DR as an operational resource on a power system over a year facilitates an assessment of its time-varying value to the power system.

  1. Microsoft Word - DR_benefits_Congress_v9_2 03 06 12pm.doc

    Office of Environmental Management (EM)

    pp u ly Demand Price of Electricity Supply Quantity of Electricity P P DR Q DR Q Demand DR BENEFITS OF DEMAND RESPONSE IN ELECTRICITY MARKETS AND RECOMMENDATIONS FOR ACHIEVING THEM A REPORT TO THE UNITED STATES CONGRESS PURSUANT TO SECTION 1252 OF THE ENERGY POLICY ACT OF 2005 U.S. Department of Energy February 2006 U.S. Department of Energy Benefits of Demand Response and Recommendations ii U.S. Department of Energy Benefits of Demand Response and Recommendations iii The Secretary [of Energy]

  2. The Role of Demand Response in Default Service Pricing

    SciTech Connect (OSTI)

    Barbose, Galen; Goldman, Chuck; Neenan, Bernie

    2006-03-10

    Dynamic retail electricity pricing, especially real-time pricing (RTP), has been widely heralded as a panacea for providing much-needed demand response in electricity markets. However, in designing default service for competitive retail markets, demand response often appears to be an afterthought. But that may be changing as states that initiated customer choice in the past 5-7 years reach an important juncture in retail market design. Most states with retail choice established an initial transitional period, during which utilities were required to offer a default or ''standard offer'' generation service, often at a capped or otherwise administratively-determined rate. Many retail choice states have reached, or are nearing, the end of their transitional period and several states have adopted an RTP-type default service for large commercial and industrial (C&I) customers. Are these initiatives motivated by the desire to induce greater demand response, or is RTP being called upon to serve a different role in competitive markets? Surprisingly, we found that in most cases, the primary reason for adopting RTP as the default service was not to encourage demand response, but rather to advance policy objectives related to the development of competitive retail markets. However, we also find that, if efforts are made in its design and implementation, default RTP service can also provide a solid foundation for developing price responsive demand, creating an important link between wholesale and retail market transactions. This paper, which draws from a lengthier report, describes the experience to date with default RTP in the U.S., identifying findings related to its actual and potential role as an instrument for cultivating price responsive demand [1]. For each of the five states currently with default RTP, we conducted a detailed review of the regulatory proceedings leading to its adoption. To further understand the intentions and expectations of those involved in its design and implementation, we also interviewed regulatory staff and utilities in each state, as well as eight of the most prominent competitive retail suppliers operating in these markets which, together, comprised about 60-65% of competitive C&I sales in the U.S. in 2004 [2].

  3. Effects of Demand Response on Retail and Wholesale Power Markets

    SciTech Connect (OSTI)

    Chassin, David P.; Kalsi, Karanjit

    2012-07-26

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

  4. The Role of Demand Response in Default Service Pricing

    SciTech Connect (OSTI)

    Barbose, Galen; Goldman, Charles; Neenan, Bernie

    2005-11-09

    Dynamic retail pricing, especially real-time pricing (RTP), has been widely heralded as a panacea for providing much-needed demand response in electricity markets. However, in designing default service for competitive retail markets, demand response has been an afterthought, and in some cases not given any weight at all. But that may be changing, as states that initiated customer choice in the past 5-7 years reach an important juncture in retail market design. Most states with retail choice established an initial transitional period during which utilities were required to offer a default or standard offer generation service, often at a capped or otherwise administratively-determined rate. Many retail choice states have reached the end of their transitional period, and several have adopted or are actively considering an RTP-type default service for large commercial and industrial (C&I) customers. In most cases, the primary reason for adopting RTP as the default service has been to advance policy objectives related to the development of competitive retail markets. However, if attention is paid in its design and implementation, default RTP service can also provide a solid foundation for developing price responsive demand, creating an important link between wholesale and retail market transactions. This article, which draws from a lengthier report, describes experience to date with RTP as a default service, focusing on its role as an instrument for cultivating price responsive demand.1 As of summer 2005, default service RTP was in place or approved for future implementation in five U.S. states: New Jersey, Maryland, Pennsylvania, New York, and Illinois. For each of these states, we conducted a detailed review of the regulatory proceedings leading to adoption of default RTP and interviewed regulatory staff and utilities in these states, as well as eight competitive retail suppliers active in these markets.

  5. ECIS-Princeton Power Systems, Inc.: Demand Response Inverter

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

    Princeton Power Systems, Inc.: Demand Response Inverter - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense

  6. Demand Response Performance and Communication Strategy: AHRI and CEE

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

    1 Demand Response Performance and Communication Strategy: AHRI and CEE DOE Building Technologies Office Conference NREL, Golden, Colorado, May 1, 2014 | 2 A Growing Crisis: Peak Utility Load Source: DOE workshop, Southern California Edison, 4/22/2008 Outdoor Ambient Utility Load Although many utilities seek HVAC equipment with high efficiency at peak load conditions, that is a very costly solution that customers won't buy. The best solution is not efficiency at occasional peak load conditions;

  7. Heat Pump Water Heaters: Controlled Field Research of Impact on Space Conditioning and Demand Response Characteristics

    SciTech Connect (OSTI)

    Parker, Graham B.; Widder, Sarah H.; Eklund, Ken; Petersen, Joseph M.; Sullivan, Greg

    2015-10-05

    A new generation of heat pump water heaters (HPWH) has been introduced into the U.S. market that promises to provide significant energy savings for water heating. Many electric utilities are promoting their widespread adoption as a key technology for meeting energy conservation goals and reducing greenhouse gas emissions. There is, however, considerable uncertainty regarding the space conditioning impact of an HPWH installed in a conditioned space. There is also uncertainty regarding the potential for deployment of HPWHs in demand response (DR) programs to help manage and balance peak utility loads in a similar manner as conventional electric resistance water heaters (ERWH). To help answer these uncertainties, controlled experiments have been undertaken over 30 months in a matched pair of unoccupied Lab Homes located on the campus of the Pacific Northwest National Laboratory (PNNL) in Richland, Washington.

  8. Development and Demonstration of the Open Automated Demand Response Standard for the Residential Sector

    SciTech Connect (OSTI)

    Herter, Karen; Rasin, Josh; Perry, Tim

    2009-11-30

    The goal of this study was to demonstrate a demand response system that can signal nearly every customer in all sectors through the integration of two widely available and non- proprietary communications technologies--Open Automated Demand Response (OpenADR) over lnternet protocol and Utility Messaging Channel (UMC) over FM radio. The outcomes of this project were as follows: (1) a software bridge to allow translation of pricing signals from OpenADR to UMC; and (2) a portable demonstration unit with an lnternet-connected notebook computer, a portfolio of DR-enabling technologies, and a model home. The demonstration unit provides visitors the opportunity to send electricity-pricing information over the lnternet (through OpenADR and UMC) and then watch as the model appliances and lighting respond to the signals. The integration of OpenADR and UMC completed and demonstrated in this study enables utilities to send hourly or sub-hourly electricity pricing information simultaneously to the residential, commercial and industrial sectors.

  9. Evaluation of the Demand Response Performance of Electric Water Heaters

    SciTech Connect (OSTI)

    Mayhorn, Ebony T.; Widder, Sarah H.; Parker, Steven A.; Pratt, Richard M.; Chassin, Forrest S.

    2015-03-17

    The purpose of this project is to verify or refute many of the concerns raised by utilities regarding the ability of large tank HPWHs to perform DR by measuring the performance of HPWHs compared to ERWHs in providing DR services. perform DR by measuring the performance of HPWHs compared to ERWHs in providing DR services. This project was divided into three phases. Phase 1 consisted of week-long laboratory experiments designed to demonstrate technical feasibility of individual large-tank HPWHs in providing DR services compared to large-tank ERWHs. In Phase 2, the individual behaviors of the water heaters were then extrapolated to a population by first calibrating readily available water heater models developed in GridLAB-D simulation software to experimental results obtained in Phase 1. These models were used to simulate a population of water heaters and generate annual load profiles to assess the impacts on system-level power and residential load curves. Such population modeling allows for the inherent and permanent load reduction accomplished by the more efficient HPWHs to be considered, in addition to the temporal DR services the water heater can provide by switching ON or OFF as needed by utilities. The economic and emissions impacts of using large-tank water heaters in DR programs are then analyzed from the utility and consumer perspective, based on National Impacts Analysis in Phase 3. Phase 1 is discussed in this report. Details on Phases 2 and 3 can be found in the companion report (Cooke et al. 2014).

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

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

    A National Forum on Demand Response: What Remains to Be Done to Achieve Its Potential A National Forum on Demand Response: What Remains to Be Done to Achieve Its Potential In July ...

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

    SciTech Connect (OSTI)

    2012-02-11

    GENI Project: AutoGrid, in conjunction with Lawrence Berkeley National Laboratory and Columbia University, will design and demonstrate automated control software that helps manage real-time demand for energy across the electric grid. Known as the Demand Response Optimization and Management System - Real-Time (DROMS-RT), the software will enable personalized price signal to be sent to millions of customers in extremely short timeframesincentivizing 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.

  12. Opportunities for Automated Demand Response in California’s Dairy Processing Industry

    SciTech Connect (OSTI)

    Homan, Gregory K.; Aghajanzadeh, Arian; McKane, Aimee

    2015-08-30

    During periods of peak electrical demand on the energy grid or when there is a shortage of supply, the stability of the grid may be compromised or the cost of supplying electricity may rise dramatically, respectively. Demand response programs are designed to mitigate the severity of these problems and improve reliability by reducing the demand on the grid during such critical times. In 2010, the Demand Response Research Center convened a group of industry experts to suggest potential industries that would be good demand response program candidates for further review. The dairy industry was suggested due to the perception that the industry had suitable flexibility and automatic controls in place. The purpose of this report is to provide an initial description of the industry with regard to demand response potential, specifically automated demand response. This report qualitatively describes the potential for participation in demand response and automated demand response by dairy processing facilities in California, as well as barriers to widespread participation. The report first describes the magnitude, timing, location, purpose, and manner of energy use. Typical process equipment and controls are discussed, as well as common impediments to participation in demand response and automated demand response programs. Two case studies of demand response at dairy facilities in California and across the country are reviewed. Finally, recommendations are made for future research that can enhance the understanding of demand response potential in this industry.

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

    Energy Savers [EERE]

    Act of 2005: A Summary for State Officials | Department of Energy Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Officials Demand Response and Smart Metering Policy Actions Since the Energy Policy Act of 2005: A Summary for State Officials This report represents a review of policy developments on demand response and other related areas such as smart meters and smart grid. It has been prepared by the Demand Response Coordinating

  14. Real-time Pricing Demand Response in Operations

    SciTech Connect (OSTI)

    Widergren, Steven E.; Marinovici, Maria C.; Berliner, Teri; Graves, Alan

    2012-07-26

    AbstractDynamic pricing schemes have been implemented in commercial and industrial application settings, and recently they are getting attention for application to residential customers. Time-of-use and critical-peak-pricing rates are in place in various regions and are being piloted in many more. These programs are proving themselves useful for balancing energy during peak periods; however, real-time (5 minute) pricing signals combined with automation in end-use systems have the potential to deliver even more benefits to operators and consumers. Besides system peak shaving, a real-time pricing system can contribute demand response based on the locational marginal price of electricity, reduce load in response to a generator outage, and respond to local distribution system capacity limiting situations. The US Department of Energy (DOE) is teaming with a mid-west electricity service provider to run a distribution feeder-based retail electricity market that negotiates with residential automation equipment and clears every 5 minutes, thus providing a signal for lowering or raising electric consumption based on operational objectives of economic efficiency and reliability. This paper outlines the capability of the real-time pricing system and the operational scenarios being tested as the system is rolled-out starting in the first half of 2012.

  15. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    SciTech Connect (OSTI)

    Ghatikar, Girish; Mathieu, Johanna L.; Piette, Mary Ann; Koch, Ed; Hennage, Dan

    2010-08-02

    This study examines the use of OpenADR communications specification, related data models, technologies, and strategies to send dynamic prices (e.g., real time prices and peak prices) and Time of Use (TOU) rates to commercial and industrial electricity customers. OpenADR v1.0 is a Web services-based flexible, open information model that has been used in California utilities' commercial automated demand response programs since 2007. We find that data models can be used to send real time prices. These same data models can also be used to support peak pricing and TOU rates. We present a data model that can accommodate all three types of rates. For demonstration purposes, the data models were generated from California Independent System Operator's real-time wholesale market prices, and a California utility's dynamic prices and TOU rates. Customers can respond to dynamic prices by either using the actual prices, or prices can be mapped into"operation modes," which can act as inputs to control systems. We present several different methods for mapping actual prices. Some of these methods were implemented in demonstration projects. The study results demonstrate show that OpenADR allows interoperability with existing/future systems/technologies and can be used within related dynamic pricing activities within Smart Grid.

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

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

    Demand for fossil fuels surely will overrun supply sooner or later, as indeed it already has in the casc of United States domestic oil drilling. Recognition also is growing that ...

  17. Demand response medium sized industry consumers (Smart Grid Project...

    Open Energy Info (EERE)

    demand and regulation power in Danish Industry consumers via a price and control signal from the supplier of electricity. The aim is to develop a valuable solution for the...

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

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

    Potential | Department of Energy A National Forum on Demand Response: What Remains to Be Done to Achieve Its Potential A National Forum on Demand Response: What Remains to Be Done to Achieve Its Potential In July 2011, the Federal Energy Regulatory Commission's (FERC) staff and the Department of Energy (DOE) jointly submitted to Congress a required "Implementation Proposal for the National Action Plan on Demand Response." The Implementation Proposal was for FERC's June 2010

  19. Assessment of Industrial Load for Demand Response across U.S. Regions of the Western Interconnection

    Broader source: Energy.gov [DOE]

    Demand response has the ability to both increase power grid reliability and potentially reduce operating system costs. Understanding the role of demand response in grid modeling has been difficult due to complex nature of the load characteristics compared to the modeled generation and the variation in load types. This is particularly true of industrial loads, where hundreds of different industries exist with varying availability for demand response. We present a framework considering industrial loads for the development of availability profiles for demand response that can provide more regional understanding and can be inserted into analysis software for further study.

  20. Greening the Grid: The Role of Storage and Demand Response, Greening...

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

    STORAGE AND DEMAND RESPONSE GREENING THE GRID THE NEED FOR FLEXIBILITY Affordably integrating high levels of variable renewable energy (VRE) sources such as wind and solar requires ...

  1. Drivers for the Value of Demand Response under Increased Levels of Wind and Solar Power; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Hale, Elaine

    2015-07-30

    Demand response may be a valuable flexible resource for low-carbon electric power grids. However, there are as many types of possible demand response as there are ways to use electricity, making demand response difficult to study at scale in realistic settings. This talk reviews our state of knowledge regarding the potential value of demand response in several example systems as a function of increasing levels of wind and solar power, sometimes drawing on the analogy between demand response and storage. Overall, we find demand response to be promising, but its potential value is very system dependent. Furthermore, demand response, like storage, can easily saturate ancillary service markets.

  2. SGDP Report Now Available: Interoperability of Demand Response Resources Demonstration in NY (February 2015)

    Broader source: Energy.gov [DOE]

    The Interoperability of Demand Response Resources Demonstration in NY was awarded to Con Edison in 2009 as part of DOE's Smart Grid Demonstration Project (SGDP) grants funded by the Recovery Act. The objective of the project was to develop and demonstrate methodologies to enhance the ability of customer sited demand response resources, both conventional and renewable, to integrate more effectively with electric delivery companies

  3. Dr. Steven Ashby

    Broader source: Energy.gov [DOE]

    Dr. Steven Ashby is the Director of the Pacific Northwest National Laboratory (PNNL), one of the Department of Energy's 17 National Laboratories. He is responsible for establishing the...

  4. A Full Demand Response Model in Co-Optimized Energy and

    SciTech Connect (OSTI)

    Liu, Guodong; Tomsovic, Kevin

    2014-01-01

    It has been widely accepted that demand response will play an important role in reliable and economic operation of future power systems and electricity markets. Demand response can not only influence the prices in the energy market by demand shifting, but also participate in the reserve market. In this paper, we propose a full model of demand response in which demand flexibility is fully utilized by price responsive shiftable demand bids in energy market as well as spinning reserve bids in reserve market. A co-optimized day-ahead energy and spinning reserve market is proposed to minimize the expected net cost under all credible system states, i.e., expected total cost of operation minus total benefit of demand, and solved by mixed integer linear programming. Numerical simulation results on the IEEE Reliability Test System show effectiveness of this model. Compared to conventional demand shifting bids, the proposed full demand response model can further reduce committed capacity from generators, starting up and shutting down of units and the overall system operating costs.

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

    SciTech Connect (OSTI)

    Kiliccote, Sila; Piette, Mary Ann

    2008-10-01

    This report summarizes San Diego Gas& Electric Company?s collaboration with the Demand Response Research Center to develop and test automation capability for the Capacity Bidding Program in 2007. The report describes the Open Automated Demand Response architecture, summarizes the history of technology development and pilot studies. It also outlines the Capacity Bidding Program and technology being used by an aggregator that participated in this demand response program. Due to delays, the program was not fully operational for summer 2007. However, a test event on October 3, 2007, showed that the project successfully achieved the objective to develop and demonstrate how an open, Web?based interoperable automated notification system for capacity bidding can be used by aggregators for demand response. The system was effective in initiating a fully automated demand response shed at the aggregated sites. This project also demonstrated how aggregators can integrate their demand response automation systems with San Diego Gas& Electric Company?s Demand Response Automation Server and capacity bidding program.

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

    SciTech Connect (OSTI)

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

    2009-05-11

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

  7. Development and Validation of Aggregated Models for Thermostatic Controlled Loads with Demand Response

    SciTech Connect (OSTI)

    Kalsi, Karanjit; Elizondo, Marcelo A.; Fuller, Jason C.; Lu, Shuai; Chassin, David P.

    2012-01-04

    Demand response is playing an increasingly important role in smart grid research and technologies being examined in recently undertaken demonstration projects. The behavior of load as it is affected by various load control strategies is important to understanding the degree to which different classes of end-use load can contribute to demand response programs at various times. This paper focuses on developing aggregated control models for a population of thermostatically controlled loads. The effects of demand response on the load population dynamics are investigated.

  8. Export demand response in the Ontario electricity market

    SciTech Connect (OSTI)

    Peerbocus, Nash; Melino, Angelo

    2007-11-15

    Export responses to unanticipated price shocks can be a key contributing factor to the rapid mean reversion of electricity prices. The authors use event analysis - a technique more familiar from financial applications - to demonstrate how hourly export transactions respond to negative supply shocks in the Ontario electricity market. (author)

  9. DR Resources for Energy and Ancillary Services in the West (Presentation)

    SciTech Connect (OSTI)

    Hummon, M.; Kiliccote, S.

    2014-04-01

    Demand response (DR) resources present a potentially important source of grid flexibility however, DR in grid models is limited by data availability and modeling complexity. This presentation focuses on the co-optimization of DR resources to provide energy and ancillary services in a production cost model of the Colorado "test system". We assume each DR resource can provide energy services by either shedding load or shifting its use between different times, as well as operating reserves: frequency regulation, contingency reserve, and flexibility (or ramping) reserve. There are significant variations in the availabilities of different types of DR resources, which affect both the operational savings as well as the revenue for each DR resource. The results presented include the system-wide avoided fuel and generator start-up costs as well as the composite revenue for each DR resource by energy and operating reserves.

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

    Broader source: Energy.gov [DOE]

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

  11. Demand Response: Lessons Learned with an Eye to the Future | Department of

    Energy Savers [EERE]

    Energy Demand Response: Lessons Learned with an Eye to the Future Demand Response: Lessons Learned with an Eye to the Future July 11, 2013 - 11:56am Addthis Patricia A. Hoffman Patricia A. Hoffman Assistant Secretary, Office of Electricity Delivery & Energy Reliability In today's world of limited resources and rising costs, everyone is looking for ways to use what they have more effectively while, at the same time, controlling - and ideally - reducing expenses. The electricity industry

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

    SciTech Connect (OSTI)

    Marks, Gary; Wilcox, Edmund; Olsen, Daniel; Goli, Sasank

    2013-01-02

    California agricultural irrigation consumes more than ten billion kilowatt hours of electricity annually and has significant potential for contributing to a reduction of stress on the grid through demand response, permanent load shifting, and energy efficiency measures. To understand this potential, a scoping study was initiated for the purpose of determining the associated opportunities, potential, and adoption challenges in California agricultural irrigation. The primary research for this study was conducted in two ways. First, data was gathered and parsed from published sources that shed light on where the best opportunities for load shifting and demand response lie within the agricultural irrigation sector. Secondly, a small limited survey was conducted as informal face-to-face interviews with several different California growers to get an idea of their ability and willingness to participate in permanent load shifting and/or demand response programs. Analysis of the data obtained from published sources and the survey reveal demand response and permanent load shifting opportunities by growing region, irrigation source, irrigation method, grower size, and utility coverage. The study examines some solutions for demand response and permanent load shifting in agricultural irrigation, which include adequate irrigation system capacity, automatic controls, variable frequency drives, and the contribution from energy efficiency measures. The study further examines the potential and challenges for grower acceptance of demand response and permanent load shifting in California agricultural irrigation. As part of the examination, the study considers to what extent permanent load shifting, which is already somewhat accepted within the agricultural sector, mitigates the need or benefit of demand response for agricultural irrigation. Recommendations for further study include studies on how to gain grower acceptance of demand response as well as other related studies such as conducting a more comprehensive survey of California growers.

  13. Comments of the Demand Response and Smart Grid Coalition on DOE's

    Office of Environmental Management (EM)

    Implementing the National Broadband Plan by Empowering Consumers and the Smart Grid: Data Access, Third Party Use, and Privacy | Department of Energy the Demand Response and Smart Grid Coalition on DOE's Implementing the National Broadband Plan by Empowering Consumers and the Smart Grid: Data Access, Third Party Use, and Privacy Comments of the Demand Response and Smart Grid Coalition on DOE's Implementing the National Broadband Plan by Empowering Consumers and the Smart Grid: Data Access,

  14. Demand Response is Focus of New Effort by Electricity Industry Leaders |

    Office of Environmental Management (EM)

    Department of Energy is Focus of New Effort by Electricity Industry Leaders Demand Response is Focus of New Effort by Electricity Industry Leaders U.S. Utilities, Grid Operators, Others Come Together in National Effort to Tackle Important New Electricity Area PDF icon Demand Response is Focus of New Effort by Electricity Industry Leaders More Documents & Publications SEAD-Fact-Sheet.pdf The International CHP/DHC Collaborative - Advancing Near-Term Low Carbon Technologies, July 2008 2011

  15. BEopt-CA (Ex): A Tool for Optimal Integration of EE, DR and PV in Existing California Homes

    SciTech Connect (OSTI)

    Christensen, Craig; Horowitz, Scott; Maguire, Jeff; Velasco, Paulo Tabrares; Springer, David; Coates, Peter; Bell, Christy; Price, Snuller; Sreedharan, Priya; Pickrell, Katie

    2014-04-01

    This project targeted the development of a software tool, BEopt-CA (Ex) (Building Energy Optimization Tool for California Existing Homes), that aims to facilitate balanced integration of energy efficiency (EE), demand response (DR), and photovoltaics (PV) in the residential retrofit1 market. The intent is to provide utility program managers and contractors in the EE/DR/PV marketplace with a means of balancing the integration of EE, DR, and PV

  16. When it comes to demand response, is FERC its own worst enemy?

    SciTech Connect (OSTI)

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

    2009-10-15

    There is a significant risk of creating conditions that will crowd out true price response by focusing too much on demand response programs with unverifiable baselines and reliability-based rather than price-based mechanisms for obtaining consumption reductions. (author)

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

    Office of Environmental Management (EM)

    Department of Energy Impacts of Demand-Side Resources on Electric Transmission Planning Impacts of Demand-Side Resources on Electric Transmission Planning Will demand resources such as energy efficiency (EE), demand response (DR), and distributed generation (DG) have an impact on electricity transmission requirements? Five drivers for transmission expansion are discussed: interconnection, reliability, economics, replacement, and policy. With that background, the study reviews the results of

  18. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR

    SciTech Connect (OSTI)

    Kim, Joyce Jihyun; Kiliccote, Sila

    2012-06-01

    In New York State, the default electricity pricing for large customers is Mandatory Hourly Pricing (MHP), which is charged based on zonal day-ahead market price for energy. With MHP, retail customers can adjust their building load to an economically optimal level according to hourly electricity prices. Yet, many customers seek alternative pricing options such as fixed rates through retail access for their electricity supply. Open Automated Demand Response (OpenADR) is an XML (eXtensible Markup Language) based information exchange model that communicates price and reliability information. It allows customers to evaluate hourly prices and provide demand response in an automated fashion to minimize electricity costs. This document shows how OpenADR can support MHP and facilitate price responsive demand for large commercial customers in New York City.

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

    SciTech Connect (OSTI)

    Mathieu, Johanna L.; Price, Phillip N.; Kiliccote, Sila; Piette, Mary Ann

    2010-11-17

    We present methods for analyzing commercial and industrial facility 15-minute-interval electric load data. These methods allow building managers to better understand their facility's electricity consumption over time and to compare it to other buildings, helping them to ask the right questions to discover opportunities for demand response, energy efficiency, electricity waste elimination, and peak load management. We primarily focus on demand response. Methods discussed include graphical representations of electric load data, a regression-based electricity load model that uses a time-of-week indicator variable and a piecewise linear and continuous outdoor air temperature dependence, and the definition of various parameters that characterize facility electricity loads and demand response behavior. In the future, these methods could be translated into easy-to-use tools for building managers.

  20. Aggregated Modeling of Thermostatic Loads in Demand Response: A Systems and Control Perspective

    SciTech Connect (OSTI)

    Kalsi, Karanjit; Chassin, Forrest S.; Chassin, David P.

    2011-12-12

    Demand response is playing an increasingly important role in smart grid research and technologies being examined in recently undertaken demonstration projects. The behavior of load as it is affected by various load control strategies is important to understanding the degree to which different classes of end-use load can contribute to demand response programs at various times. This paper focuses on developing aggregated models for a homogeneous population of thermostatically controlled loads. The different types of loads considered in this paper include, but are not limited to, water heaters and HVAC units. The effects of demand response and user over-ride on the load population dynamics are investigated. The controllability of the developed lumped models is validated which forms the basis for designing different control strategies.

  1. AMI Communication Requirements to Implement Demand-Response: Applicability of Hybrid Spread Spectrum Wireless

    SciTech Connect (OSTI)

    Hadley, Mark D.; Clements, Samuel L.; Carroll, Thomas E.

    2011-09-30

    While holistically defining the smart grid is a challenge, one area of interest is demand-response. In 2009, the Department of Energy announced over $4 billion in grant and project funding for the Smart Grid. A significant amount of this funding was allotted to utilities for cost sharing projects to deploy Smart Grid technologies, many of whom have deployed and are deploying advanced metering infrastructure (AMI). AMI is an enabler to increase the efficiency of utilities and the bulk power grid. The bulk electrical system is unique in that it produces electricity as it is consumed. Most other industries have a delay between generation and consumption. This aspect of the power grid means that there must be enough generation capacity to meet the highest demand whereas other industries could over produce during off-peak times. This requires significant investment in generation capacity to cover the few days a year of peak consumption. Since bulk electrical storage doesn't yet exist at scale another way to curb the need for new peak period generation is through demand-response; that is to incentivize consumers (demand) to curtail (respond) electrical usage during peak periods. Of the various methods proposed for enabling demand-response, this paper will focus on the communication requirements for creating an energy market using transactional controls. More specifically, the paper will focus on the communication requirements needed to send the peak period notices and receive the response back from the consumers.

  2. Reduced-Order Modeling of Aggregated Thermostatic Loads With Demand Response

    SciTech Connect (OSTI)

    Zhang, Wei; Lian, Jianming; Chang, Chin-Yao; Kalsi, Karanjit; Sun, Yannan

    2012-12-12

    Demand Response is playing an increasingly important role in smart grid control strategies. Modeling the behavior of populations of appliances under demand response is especially important to evaluate the effectiveness of these demand response programs. In this paper, an aggregated model is proposed for a class of Thermostatically Controlled Loads (TCLs). The model efficiently includes statistical information of the population, systematically deals with heterogeneity, and accounts for a second-order effect necessary to accurately capture the transient dynamics in the collective response. However, an accurate characterization of the collective dynamics however requires the aggregate model to have a high state space dimension. Most of the existing model reduction techniques require the stability of the underlying system which does not hold for the proposed aggregated model. In this work, a novel model reduction approach is developed for the proposed aggregated model, which can significantly reduce its complexity with small performance loss. The original and the reducedorder aggregated models are validated against simulations of thousands of detailed building models using GridLAB-D, which is a realistic open source distribution simulation software. Index Terms demand response, aggregated model, ancillary

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

    SciTech Connect (OSTI)

    Kim, Joyce Jihyun; Yin, Rongxin; Kiliccote, Sila

    2013-10-01

    Open Automated Demand Response (OpenADR), an XML-based information exchange model, is used to facilitate continuous price-responsive operation and demand response participation for large commercial buildings in New York who are subject to the default day-ahead hourly pricing. We summarize the existing demand response programs in New York and discuss OpenADR communication, prioritization of demand response signals, and control methods. Building energy simulation models are developed and field tests are conducted to evaluate continuous energy management and demand response capabilities of two commercial buildings in New York City. Preliminary results reveal that providing machine-readable prices to commercial buildings can facilitate both demand response participation and continuous energy cost savings. Hence, efforts should be made to develop more sophisticated algorithms for building control systems to minimize customer's utility bill based on price and reliability information from the electricity grid.

  4. Aggregated Modeling and Control of Air Conditioning Loads for Demand Response

    SciTech Connect (OSTI)

    Zhang, Wei; Lian, Jianming; Chang, Chin-Yao; Kalsi, Karanjit

    2013-06-21

    Demand response is playing an increasingly important role in the efficient and reliable operation of the electric grid. Modeling the dynamic behavior of a large population of responsive loads is especially important to evaluate the effectiveness of various demand response strategies. In this paper, a highly-accurate aggregated model is developed for a population of air conditioning loads. The model effectively includes statistical information of the population, systematically deals with load heterogeneity, and accounts for second-order dynamics necessary to accurately capture the transient dynamics in the collective response. Based on the model, a novel aggregated control strategy is designed for the load population under realistic conditions. The proposed controller is fully responsive and achieves the control objective without sacrificing end-use performance. The proposed aggregated modeling and control strategies are validated through realistic simulations using GridLAB-D. Extensive simulation results indicate that the proposed approach can effectively manage a large number of air conditioning systems to provide various demand response services, such as frequency regulation and peak load reduction.

  5. Opportunities for Automated Demand Response in Wastewater Treatment Facilities in California - Southeast Water Pollution Control Plant Case Study

    SciTech Connect (OSTI)

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

    2012-12-20

    This report details a study into the demand response potential of a large wastewater treatment facility in San Francisco. Previous research had identified wastewater treatment facilities as good candidates for demand response and automated demand response, and this study was conducted to investigate facility attributes that are conducive to demand response or which hinder its implementation. One years' worth of operational data were collected from the facility's control system, submetered process equipment, utility electricity demand records, and governmental weather stations. These data were analyzed to determine factors which affected facility power demand and demand response capabilities The average baseline demand at the Southeast facility was approximately 4 MW. During the rainy season (October-March) the facility treated 40% more wastewater than the dry season, but demand only increased by 4%. Submetering of the facility's lift pumps and centrifuges predicted load shifts capabilities of 154 kW and 86 kW, respectively, with large lift pump shifts in the rainy season. Analysis of demand data during maintenance events confirmed the magnitude of these possible load shifts, and indicated other areas of the facility with demand response potential. Load sheds were seen to be possible by shutting down a portion of the facility's aeration trains (average shed of 132 kW). Load shifts were seen to be possible by shifting operation of centrifuges, the gravity belt thickener, lift pumps, and external pump stations These load shifts were made possible by the storage capabilities of the facility and of the city's sewer system. Large load reductions (an average of 2,065 kW) were seen from operating the cogeneration unit, but normal practice is continuous operation, precluding its use for demand response. The study also identified potential demand response opportunities that warrant further study: modulating variable-demand aeration loads, shifting operation of sludge-processing equipment besides centrifuges, and utilizing schedulable self-generation.

  6. Future Opportunities and Challenges with Using Demand Response as a Resource in Distribution System Operation and Planning Activities

    Broader source: Energy.gov [DOE]

    This scoping study focuses on identifying the ability for current and future demand response opportunities to contribute to distribution system management. To do so, this scoping study will...

  7. Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid

    SciTech Connect (OSTI)

    Ghatikar, Girish; Mathieu, Johanna L.; Piette, Mary Ann; Kiliccote, Sila

    2010-06-02

    We present an Open Automated Demand Response Communications Specifications (OpenADR) data model capable of communicating real-time prices to electricity customers. We also show how the same data model could be used to for other types of dynamic pricing tariffs (including peak pricing tariffs, which are common throughout the United States). Customers participating in automated demand response programs with building control systems can respond to dynamic prices by using the actual prices as inputs to their control systems. Alternatively, prices can be mapped into"building operation modes," which can act as inputs to control systems. We present several different strategies customers could use to map prices to operation modes. Our results show that OpenADR can be used to communicate dynamic pricing within the Smart Grid and that OpenADR allows for interoperability with existing and future systems, technologies, and electricity markets.

  8. Building America BEopt-CA (Ex): A Tool for Optimal Integration of EE, DR

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

    and PV in Existing California Homes | Department of Energy BEopt-CA (Ex): A Tool for Optimal Integration of EE, DR and PV in Existing California Homes Building America BEopt-CA (Ex): A Tool for Optimal Integration of EE, DR and PV in Existing California Homes This project targeted the development of a software tool, BEopt-CA (Ex) (Building Energy Optimization Tool for California Existing Homes), that aims to facilitate balanced integration of energy efficiency (EE), demand response (DR), and

  9. On the Inclusion of Energy-Shifting Demand Response in Production...

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

    a case study of aggregated supermarket refrigeration systems providing balancing energy reserves in real-time markets at different levels of variable generation (VG). This DR...

  10. Final Scientific Technical Report: INTEGRATED PREDICTIVE DEMAND RESPONSE CONTROLLER FOR COMMERCIAL BUILDINGS

    SciTech Connect (OSTI)

    Wenzel, Mike

    2013-10-14

    This project provides algorithms to perform demand response using the thermal mass of a building. Using the thermal mass of the building is an attractive method for performing demand response because there is no need for capital expenditure. The algorithms rely on the thermal capacitance inherent in the building?s construction materials. A near-optimal ?day ahead? predictive approach is developed that is meant to keep the building?s electrical demand constant during the high cost periods. This type of approach is appropriate for both time-of-use and critical peak pricing utility rate structures. The approach uses the past days data in order to determine the best temperature setpoints for the building during the high price periods on the next day. A second ?model predictive approach? (MPC) uses a thermal model of the building to determine the best temperature for the next sample period. The approach uses constant feedback from the building and is capable of appropriately handling real time pricing. Both approaches are capable of using weather forecasts to improve performance.

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

    SciTech Connect (OSTI)

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

    2009-05-26

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

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

    SciTech Connect (OSTI)

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

    2009-04-30

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

  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

    2010-05-14

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

  14. DOE and FERC Jointly Submit Implementation Proposal for The National Action Plan on Demand Response to Congress

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy and the Federal Energy Regulatory Commission (FERC) jointly submitted to Congress a required “Implementation Proposal for The National Action Plan on Demand Response.”

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

    SciTech Connect (OSTI)

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

    2009-04-01

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

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

    SciTech Connect (OSTI)

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

    2003-04-18

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

  17. Dr. Monica C. Regalbuto

    Broader source: Energy.gov [DOE]

    Dr. Monica Regalbuto was named Assistant Secretary for Environmental Management (EM) in August 2015. In this role, Dr. Regalbuto provides the leadership necessary to continue the safe cleanup of...

  18. Dr. Ming Zhu | Department of Energy

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

    Ming Zhu About Us Dr. Ming Zhu - Acting Budget Director, Office of Environmental Management U.S. Department of Energy Dr. Ming Zhu Dr. Ming Zhu recently serves as the Acting Budget Director for the Office of Environmental Management within the Department of Energy, responsible for the formulation, justification, and execution of a $6 billion/year budget that supports 1,400 Federal and 20,000 contactor employees on environmental cleanup of the nation's nuclear legacy. Previously he served as the

  19. Comments of the Demand Response and Smart Grid Coalition on DOE...

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

    Consumers and the Smart Grid: Data Access, Third Party Use, and Privacy Comments of ... Consumers and the Smart Grid: Data Access, Third Party Use, and Privacy The Demand ...

  20. Welcome: Dr. Sudarsan Rachuri

    Broader source: Energy.gov [DOE]

    The Advanced Manufacturing Office (AMO) is excited to welcome Dr. Sudarsan Rachuri as a Technology Manager in the R&D Facilities group as of February 22, 2016.

  1. A New Thermostat for Real-Time Price Demand Response: Cost, Comfort and Energy Impacts of Discrete-Time Control without Deadband

    SciTech Connect (OSTI)

    Chassin, David P.; Stoustrup, Jakob; Agathoklis, Pan; Djilali, Ned

    2015-10-01

    This paper presents a residential thermostat design that enables accurate aggregate load control systems for electricity demand response. The thermostat features a control strategy that can be modeled as a linear time-invariant system for short- term demand response signals from the utility. This control design maintains the same comfort and demand response characteristics of existing real-time price- responsive thermostats but gives rise to linear time-invariant models of aggregate load control and demand response, which facilitates the design of highly accurate load-based regulation services for electricity interconnections.

  2. EERE Demonstration for Advanced Retro-commissioning Technology: Predictive Energy Optimization (PEO) and Automated Demand Response for Commercial Building HVAC

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

    EERE Demonstration for Advanced Retro-commissioning Technology: Predictive Energy Optimization (PEO) and Automated Demand Response for Commercial Building HVAC 2015 Building Technologies Office Peer Review Michael Nark, michaeln@buildingiq.com BuildingIQ, Inc. Project Summary Timeline: Start date: October 1, 2014 Planned end date: September 30, 2017 Key Milestones 1. Stage 1 Site Qualification; 2/28/15 2. Stage 2 Site Qualification; 4/15/15 3. Stage 1 Sites Deployment; 6/30/15 Budget: Total DOE

  3. Dr. Grace M. Bochenek

    Broader source: Energy.gov [DOE]

    As Director of NETL, Dr. Grace M. Bochenek manages a diverse $9 billion, 1,800-project NETL portfolio that seeks to create commercially viable solutions to energy and environmental challenges;...

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

    Reports and Publications (EIA)

    2007-01-01

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

  5. Auto-DR and Pre-cooling of Buildings at Tri-City Corporate Center

    SciTech Connect (OSTI)

    Yin, Rongxin; Xu, Peng; Kiliccote, Sila

    2008-11-01

    Over the several past years, Lawrence Berkeley National Laboratory (LBNL) has conducted field tests for different pre-cooling strategies in different commercial buildings within California. The test results indicated that pre-cooling strategies were effective in reducing electric demand in these buildings during peak periods. This project studied how to optimize pre-cooling strategies for eleven buildings in the Tri-City Corporate Center, San Bernardino, California with the assistance of a building energy simulation tool -- the Demand Response Quick Assessment Tool (DRQAT) developed by LBNL's Demand Response Research Center funded by the California Energy Commission's Public Interest Energy Research (PIER) Program. From the simulation results of these eleven buildings, optimal pre-cooling and temperature reset strategies were developed. The study shows that after refining and calibrating initial models with measured data, the accuracy of the models can be greatly improved and the models can be used to predict load reductions for automated demand response (Auto-DR) events. This study summarizes the optimization experience of the procedure to develop and calibrate building models in DRQAT. In order to confirm the actual effect of demand response strategies, the simulation results were compared to the field test data. The results indicated that the optimal demand response strategies worked well for all buildings in the Tri-City Corporate Center. This study also compares DRQAT with other building energy simulation tools (eQUEST and BEST). The comparison indicate that eQUEST and BEST underestimate the actual demand shed of the pre-cooling strategies due to a flaw in DOE2's simulation engine for treating wall thermal mass. DRQAT is a more accurate tool in predicting thermal mass effects of DR events.

  6. Impacts of Demand-Side Resources on Electric Transmission Planning

    SciTech Connect (OSTI)

    Hadley, Stanton W.; Sanstad, Alan H.

    2015-01-01

    Will demand resources such as energy efficiency (EE), demand response (DR), and distributed generation (DG) have an impact on electricity transmission requirements? Five drivers for transmission expansion are discussed: interconnection, reliability, economics, replacement, and policy. With that background, we review the results of a set of transmission studies that were conducted between 2010 and 2013 by electricity regulators, industry representatives, and other stakeholders in the three physical interconnections within the United States. These broad-based studies were funded by the US Department of Energy and included scenarios of reduced load growth due to EE, DR, and DG. While the studies were independent and used different modeling tools and interconnect-specific assumptions, all provided valuable results and insights. However, some caveats exist. Demand resources were evaluated in conjunction with other factors, and limitations on transmission additions between scenarios made understanding the role of demand resources difficult. One study, the western study, included analyses over both 10- and 20-year planning horizons; the 10-year analysis did not show near-term reductions in transmission, but the 20-year indicated fewer transmission additions, yielding a 36percent capital cost reduction. In the eastern study the reductions in demand largely led to reductions in local generation capacity and an increased opportunity for low-cost and renewable generation to export to other regions. The Texas study evaluated generation changes due to demand, and is in the process of examining demand resource impacts on transmission.

  7. Market transformation lessons learned from an automated demand response test in the Summer and Fall of 2003

    SciTech Connect (OSTI)

    Shockman, Christine; Piette, Mary Ann; ten Hope, Laurie

    2004-08-01

    A recent pilot test to enable an Automatic Demand Response system in California has revealed several lessons that are important to consider for a wider application of a regional or statewide Demand Response Program. The six facilities involved in the site testing were from diverse areas of our economy. The test subjects included a major retail food marketer and one of their retail grocery stores, financial services buildings for a major bank, a postal services facility, a federal government office building, a state university site, and ancillary buildings to a pharmaceutical research company. Although these organizations are all serving diverse purposes and customers, they share some underlying common characteristics that make their simultaneous study worthwhile from a market transformation perspective. These are large organizations. Energy efficiency is neither their core business nor are the decision makers who will enable this technology powerful players in their organizations. The management of buildings is perceived to be a small issue for top management and unless something goes wrong, little attention is paid to the building manager's problems. All of these organizations contract out a major part of their technical building operating systems. Control systems and energy management systems are proprietary. Their systems do not easily interact with one another. Management is, with the exception of one site, not electronically or computer literate enough to understand the full dimensions of the technology they have purchased. Despite the research team's development of a simple, straightforward method of informing them about the features of the demand response program, they had significant difficulty enabling their systems to meet the needs of the research. The research team had to step in and work directly with their vendors and contractors at all but one location. All of the participants have volunteered to participate in the study for altruistic reasons, that is, to help find solutions to California's energy problems. They have provided support in workmen, access to sites and vendors, and money to participate. Their efforts have revealed organizational and technical system barriers to the implementation of a wide scale program. This paper examines those barriers and provides possible avenues of approach for a future launch of a regional or statewide Automatic Demand Response Program.

  8. Dr. Daniel Bullen- Biography

    Broader source: Energy.gov [DOE]

    Dr. Daniel Bullen is the Defense Nuclear Facilities Board Lead of their Nuclear Programs & Analysis Group. He has been on the nuclear engineering faculty of several universities, consulting engineer for a number of technology firms, and an engineer with DOE's Lawrence Livermore National Laboratory.

  9. 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...

  10. By: Dr. Nabil Nasr

    Office of Environmental Management (EM)

    Rochester Ins-tute of Technology, 2016 By: Dr. Nabil Nasr Associate Provost for Academic Affairs & Director, Golisano Ins-tute for Sustainability Rochester Ins-tute of Technology DOE Advanced Manufacturing Office Sustainable Manufacturing Workshop Portland, Oregon - January 6-7, 2016 © Rochester Ins-tute of Technology, 2016 Sustainable Manufacturing . . . is the economical creation of goods and services using technologies and processes that are non-polluting, conserve energy and natural

  11. Dr. David Snyder

    Office of Environmental Management (EM)

    NOV 2 1 2013 Archaeology Reviews Manager Resource Protection and Reviews 1982 Velma Avenue Columbus, Ohio 43211 Dear Dr. Snyder: PPPO-03-2164867 -14 TRANSMITTAL OF THE GEOMORPHOLOGICAL INVESTIGATION OF THE LITTLE BEAVER CREEK AND ASSOCIATED DRAINAGES AT THE PORTSMOUTH GASEOUS DIFFUSION PLANT, PIKETON, OHIO Enclosed for your information is the Letter Report: Geomorphological Investigation of the Little Beaver Creek and Associated Drainages PORTS Plant, Piketon, Ohio, conducted by ASC Group, Inc.

  12. DemandDirect | Open Energy Information

    Open Energy Info (EERE)

    DemandDirect Place: Woodbury, Connecticut Zip: 6798 Sector: Efficiency, Renewable Energy, Services Product: DemandDirect provides demand response, energy efficiency, load...

  13. Dr. David Snyder

    Office of Environmental Management (EM)

    2 4 2013 Archaeology Reviews Manager Ohio Historic Preservation Office 1982 Velma Avenue Columbus, Ohio 43211 Dear Dr. Snyder: PPPO-03-2088012-14 TRANSMITTAL OF A REPORT ON PREHISTORIC ARCHAEOLOGICAL COMPONENTS IDENTIFIED AT HISTORIC-ERA SITES AT THE PORTSMOUTH GASEOUS DIFFUSION PLANT Enclosed for your information is the report titled "Pre-Historic Archaeological Components Identified at Six Historic-Era Farmstead Sites (33Pk185, 33Pk203, 33Pk206, 33Pk 211, 33Pk217 and 33Pk218) Within the

  14. Study on Auto-DR and Pre-Cooling of Commercial Buildings with Thermal Mass in California

    SciTech Connect (OSTI)

    Yin, Rongxin; Xu, Peng; Piette, Mary Ann; Kiliccote, Sila

    2010-01-09

    This paper discusses how to optimize pre-cooling strategies for buildings in a hot California climate zone with the Demand Response Quick Assessment Tool (DRQAT), a building energy simulation tool. This paper outlines the procedure used to develop and calibrate DRQAT simulation models, and applies this procedure to eleven field test buildings. The results of a comparison between the measured demand savings during the peak period and the savings predicted by the simulation model indicate that the predicted demand shed match well with measured data for the corresponding auto-demand response (Auto-DR) days. The study shows that the accuracy of the simulation models is greatly improved after calibrating the initial models with measured data. These improved models can be used to predict load reductions for automated demand response events. The simulation results were compared with field test data to confirm the actual effect of demand response strategies. Results indicate that the optimal demand response strategies worked well for most of the buildings tested in this hot climate zone.

  15. Dr. Peter S. Winokur- Biography

    Broader source: Energy.gov [DOE]

    Dr. Peter S. Winokur of Maryland has been appointed a Member of the Defense Nuclear Facilities Safety Board for a term expiring October 18, 2014.

  16. Project Leader: Dr. Sungtaek Ju

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

    Leader: Dr. Sungtaek Ju just@seas.ucla.edu MOTIVATION Liquid metals have superior heat transport properties, including low vapor pressure, high thermal conductivity, and relatively...

  17. Dr. Norman Hilberry Metallurgical Laboratory

    Office of Legacy Management (LM)

    December 23, 1942 217, i Dr. Norman Hilberry Metallurgical Laboratory University of Chicago Chicago, Illlnols Dear Dr. Hllbarry: In akcordance with the arrangments made with Dr. Compton, I am attachIng.heretb Copy No. 13 of Dr. Kraus' Progreee Report dated December 15, 1942. Thle report contains addltloral information on the preparation of metallic uranium by the, reduction of UC13 with sodium. Very truly goAre, RR:OT Attaohment CONFIFIMEOTOSE l,NCL&.$.,Fl&, DOEOFFICE OF OECMS.W,,3,~

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

    SciTech Connect (OSTI)

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

    2010-08-20

    This case study enhances the understanding of open automated demand response opportunities in municipal wastewater treatment facilities. The report summarizes the findings of a 100 day submetering project at the San Luis Rey Wastewater Treatment Plant, a municipal wastewater treatment facility in Oceanside, California. The report reveals that key energy-intensive equipment such as pumps and centrifuges can be targeted for large load reductions. Demand response tests on the effluent pumps resulted a 300 kW load reduction and tests on centrifuges resulted in a 40 kW load reduction. Although tests on the facility?s blowers resulted in peak period load reductions of 78 kW sharp, short-lived increases in the turbidity of the wastewater effluent were experienced within 24 hours of the test. The results of these tests, which were conducted on blowers without variable speed drive capability, would not be acceptable and warrant further study. This study finds that wastewater treatment facilities have significant open automated demand response potential. However, limiting factors to implementing demand response are the reaction of effluent turbidity to reduced aeration load, along with the cogeneration capabilities of municipal facilities, including existing power purchase agreements and utility receptiveness to purchasing electricity from cogeneration facilities.

  19. Jefferson Lab Leadership Council - Dr. Allison Lung

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

    Associate Director, Dr. Allison Lung Allison Lung Associate Director, 12 GeV Upgrade Project Allison Lung was appointed the assistant director for the Thomas Jefferson National Accelerator Facility in October 2002. As assistant director, Lung is responsible for formulating and leading the JLab Continual Improvement Program, and responding to requests from JLab stakeholders. She organizes support and documentation for funding campaigns and collaborates closely with the lab director in matters

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

    SciTech Connect (OSTI)

    Heffner, Grayson C.

    2002-09-01

    The restructuring of regional and national electricity markets in the U.S. and around the world has been accompanied by numerous problems, including generation capacity shortages, transmission congestion, wholesale price volatility, and reduced system reliability. These problems have created new opportunities for technologies and business approaches that allow load serving entities and other aggregators to control and manage the load patterns of wholesale and retail end-users they serve. Demand Response Programs, once called Load Management, have re-emerged as an important element in the fine-tuning of newly restructured electricity markets. During the summers of 1999 and 2001 they played a vital role in stabilizing wholesale markets and providing a hedge against generation shortfalls throughout the U.S.A. Demand Response Programs include ''traditional'' capacity reservation and interruptible/curtailable rates programs as well as voluntary demand bidding programs offered by either Load Serving Entities (LSEs) or regional Independent System Operators (ISOs). The Lawrence Berkeley National Lab (LBNL) has been monitoring the development of new types of Demand Response Programs both in the U.S. and around the world. This paper provides a survey and overview of the technologies and program designs that make up these emerging and important new programs.

  1. Dr. Richard A. Swalin, Dean

    Office of Legacy Management (LM)

    Dr. Richard A. Swalin, Dean College of Engineering and Mines University of Arizona Tucson, Arizona 85721 Dear Dr. Swalin: As you may know, the Department of Energy (DOE) is evaluating the radiological condition of sites that were utilized under the Manhattan Engineer District (MEO) and the Atomic Energy Commission (AEC) during the early years of nuclear development to determine whether they need remedial action and whether the Department has authority to perform such action. The University of

  2. Dr. Chenyang Lu | Photosynthetic Antenna Research Center

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

    Chenyang Lu November 8, 2013 Dr. Chenyang Lu Smart Building with Wireless Sensor Networks Published: November 8, 2013 As part of the Events & Topics in Bioenergy Series, Dr....

  3. ORISE: Faculty Research Experiences - Dr. Thomas Liu

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

    Thomas Liu Professor and student team develops flexible, free alternative to proprietary data analytics software Dr. Thomas Liu and Monty Bains Dr. Thomas Liu and Monty Bains...

  4. A Test Bed for Self-regulating Distribution Systems: Modeling Intergrated Renewable Energy and Demand Response in the GridLAB-D/MATLAB Environment

    SciTech Connect (OSTI)

    Wang, Dan; de Wit, Braydon; Parkinson, Simon; Fuller, Jason C.; Chassin, David P.; Crawford, Curran; Djilali, Ned

    2012-01-16

    This paper discusses the development of a simulation test bed permitting the study of integrated renewable energy generators and controlled distributed heat pumps operating within distribution systems. The test bed is demonstrated in this paper by addressing the important issue of the self-regulating effect of consumer-owned air-source heat pumps on the variability induced by wind power integration, particularly when coupled with increased access to demand response realized through a centralized load control strategy.

  5. Dr. Richard Knaub | Department of Energy

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

    Dr. Richard Knaub Dr. Richard Knaub Dr. Richard Knaub - Project Leader in Weatherization & Workforce Development at the National Renewable Energy Laboratory Dr. Richard Knaub is a Project Leader in Weatherization & Workforce Development at the National Renewable Energy Laboratory. Most Recent Living Comfortably: A Consumer's Guide to Home Energy Upgrades March 7

  6. Dr. Steven Chu | Department of Energy

    Energy Savers [EERE]

    Dr. Steven Chu About Us Dr. Steven Chu - Former Secretary of Energy Dr. Steven Chu Career Highlights Distinguished scientist and co-winner of the Nobel Prize for Physics (1997) Former Director of the Lawrence Berkeley National Lab & professor of physics & molecular & cellular biology Dr. Steven Chu served as the Secretary of Energy from January 21, 2009, to April 22, 2013. Dr. Chu was charged with helping implement President Obama's ambitious agenda to invest in clean energy, reduce

  7. Dr

    Office of Environmental Management (EM)

    MEMORANDUM To: Sean Lev, Acting General Counsel, United States Department of Energy From: Katherine Kennedy, Andrew DeLaski, Benjamin Longstreth Re: Six-Year Review of Covered Products Date: April 11, 2011 I. Introduction This memorandum explains that the Energy Independence and Security Act of 2007 (EISA) requires the Department of Energy to re-evaluate efficiency standards for all covered appliances and products every six years. Through EISA, Congress specifically mandated that the Department

  8. Statement of Dr. Lynn Orr

    Energy Savers [EERE]

    Dr. Lynn Orr Under Secretary for Science and Energy U.S. Department of Energy Before the Committee on Energy and Natural Resources United States Senate June 9, 2015 Introduction Chairman Murkowski, Ranking Member Cantwell, and Members of the Committee, thank you for the opportunity to testify today on behalf of the Department of Energy regarding energy accountability and reform legislation. In support of the Administration's all-of-the-above approach to energy and the Climate Action Plan, DOE is

  9. Dr. Oliver Simpson Metallurgical Laboratory

    Office of Legacy Management (LM)

    Oliver Simpson Metallurgical Laboratory p. 0. Box 5207 Chicago DO, Illinola ~. : Dear Dr. Simpson: Since your telephone call of's week ago regarding a possible 5000 pound order for regular rotary fired SP beryllium oxide for AC Spark Plug Company, Flint, Michigan,, we have been .busv reviewring our production achodules and have now established the-following~schedule eon SP beryllium oxide production: Vie plan to' commence pr.oducMon of SP beryllLum oxide on September 16 and expect to pounds

  10. Dr. Himadri Pakrasi | Photosynthetic Antenna Research Center

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

    Dr. Himadri Pakrasi October 20, 2015 Dr. Himadri Pakrasi Engineering Biology and Energy from the Sun: the future is bright for food, feed, and fuels News/Media Videos

  11. Dr. Terry Bricker | Photosynthetic Antenna Research Center

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

    Dr. Terry Bricker October 6, 2015 Dr. Terry Bricker Structural Interactions of the Extrinsic Proteins in Higher Plant Photosystem II Terry Bricker Bio View the Seminar Online Here View Flyer Here

  12. Dr. Ken Friedman | Department of Energy

    Office of Environmental Management (EM)

    Dr. Ken Friedman About Us Dr. Ken Friedman - Senior Policy Advisor in the Office of Electricity Delivery and Energy Reliability Most Recent Solar Flare Activity Closely Monitored September 11 Solar Storm Closely Watched Worldwide March 9

  13. Dr. Vincent Adams | Department of Energy

    Energy Savers [EERE]

    Dr. Vincent Adams About Us Dr. Vincent Adams - Portsmouth Site Director Dr. Vincent Adams has more than 35 years of experience in the public and private sectors in the environmental management and petroleum production fields, including 29 years with the Department of Energy (DOE). Since 2010, he has been the Site Director and Federal Project Director (FPD) of the decontamination & decommissioning (D&D) project for the Gaseous Diffusion plant in Piketon, Ohio. Dr. Adams served three years

  14. Dr. Imre Gyuk | Department of Energy

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

    Dr. Imre Gyuk About Us Dr. Imre Gyuk - Energy Storage Program Manager, Office of Electricity Delivery and Energy Reliability Dr. Imre Gyuk Dr. Imre Gyuk is a Energy Storage Program Manager in the Office of Electricity Delivery and Energy Reliability. Most Recent Energy Department Releases Strategic Plan for Energy Storage Safety December 23 Partnering with Vermont for an Innovative Approach to Resilience November 18 Smoothing the Flow of Renewable Solar Energy in California's Central Valley May

  15. Dr. Richard A. Meserve | Department of Energy

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

    Dr. Richard A. Meserve About Us Dr. Richard A. Meserve - President Emeritus, Carnegie Institution for Science and Former Chairman of the US Nuclear Regulatory Commission Dr. Richard A. Meserve Dr. Richard A. Meserve became the ninth president of the Carnegie Institution for Science in April 2003, after stepping down as Chairman of the U.S. Nuclear Regulatory Commission (NRC). The Carnegie Institution conducts basic research in biology, astronomy and geophysics. As Chairman of the NRC, Meserve

  16. Addressing grid challenges and exploring opportunities, including DR

    SciTech Connect (OSTI)

    Simms, Scott

    2011-10-25

    Wind is valuable to PNW power generation mix. BPA supports development of wind generation forecasting, utility operational protocols and business practices, Demand Response, and storage applications.

  17. Dr. Dewey Holten | Photosynthetic Antenna Research Center

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

    Dr. Dewey Holten October 11, 2012 Dr. Dewey Holten "Bioinspired and Biohybrid photosynthetic antenna systems for energy applications" Published: October 11, 2012 As part of the Events & Topics in Bioenergy Series, Dr. Dewey Holten gives his talk on "Bioinspired and Biohybrid antenna systems for energy applications".

  18. Implementation Proposal for the National Action Plan on Demand...

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

    Implementation Proposal for the National Action Plan on DemandResponse - July 2011 Implementation Proposal for the National Action Plan on Demand Response - July 2011 Report to ...

  19. Demand Response Technology Roadmap M

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

    1 5 D E M A N D R E S P O N S E T E C H N O L O G Y R O A D M A P Development of this roadmap occurred in stages between May 2014 and February 2015. The Bonneville Power...

  20. Dr. Himadri Pakrasi | Photosynthetic Antenna Research Center

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

    Dr. Himadri Pakrasi September 14, 2011 Dr. Himadri Pakrasi Biofuels and Photosynthesis Published: September 14, 2011 Dr. Himadri Pakrasi, George William and Irene Koechig Freiberg Professor of Arts and Sciences, Department of Biology and Director of I-CARES, gives his talk entitled "Biofuels and Photosynthesis". Original event information: Tuesday, September 13, 2011 Washington University Brauer 12 4:00 pm - 5:00 pm seminar Events & Topics in Bioenergy

  1. Dr. John P. Holdren | Department of Energy

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

    Dr. John P. Holdren About Us Dr. John P. Holdren - Director of the White House Office of Science and Technology Policy Dr. John P. Holdren is Assistant to the President for Science and Technology, Director of the White House Office of Science and Technology Policy, and Co-Chair of the President's Council of Advisors on Science and Technology (PCAST). Most Recent The Current State of Energy Technology September 10 Harnessing the Power of Data, Technology and Innovation for a Clean Energy Economy

  2. Dr. David Wilson | Department of Energy

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

    David Wilson About Us Dr. David Wilson - President, Morgan State University Dr. David Wilson Dr. David Wilson, the 10th inaugurated president of Morgan State University, has a long record of accomplishments and more than 30 years of experience in higher education administration. He holds four academic degrees: a B.S. in political science and an M.S. in education from Tuskegee University; a master's in educational planning and administration from Harvard University; and a doctorate in

  3. Dr. Julio Friedmann | Department of Energy

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

    Julio Friedmann About Us Dr. Julio Friedmann - Principal Deputy Assistant Secretary, The Office of Fossil Energy, Department of Energy Dr. Julio Friedmann Dr. Julio Friedmann is the Principal Deputy Assistant Secretary for the Office of Fossil Energy at the Department of Energy. His portfolio includes R&D and programs in Clean Coal and Carbon Management, Oil and Gas systems, international engagements in clean fossil energy, and inter-agency engagements within the US government. Previously he

  4. Dr. Steven Croley Confirmed as General Counsel

    Broader source: Energy.gov [DOE]

    Dr. Steven Croley was confirmed by the Senate on Monday, May 12 as the Department of Energy’s General Counsel.

  5. Dr Jan Gustav Werthen | Open Energy Information

    Open Energy Info (EERE)

    navigation, search Name: Dr. Jan-Gustav Werthen Place: California Product: Founder and CEO of Photonic Power Systems, Inc. He will lead JDS Uniphase's Photonic Power Business...

  6. ORISE: Postdoc Research Experiences - Dr. Charlee Bennett

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

    Charlee Bennett Postdoctoral researcher helps reduce costs of producing alternative energy Dr. Charlee Bennett Charlee Bennett, Ph.D., served as the associate lead from 2009 to...

  7. Daniel Yates Advisor: Dr. Rogachev Texas...

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

    gas mixtures for active target detector application Daniel Yates Advisor: Dr. Rogachev Texas Active Target (TexAT) New active target detector under development by Rogachev...

  8. Dr. Naomi Ginsberg | Photosynthetic Antenna Research Center

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

    Naomi Ginsberg October 17, 2013 Dr. Naomi Ginsberg Imaging heterogeneous ultrafast exciton dynamics in organic semiconducting thin films Published: October 17, 2013

  9. Dr. Yuan Ping Lawrence Livermore National Lab

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

    Creating, diagnosing and controlling high-energy- density matter with lasers Dr. Yuan Ping Lawrence Livermore National Lab Tuesday, Oct 22, 2013 - 3:00PM MBG AUDITORIUM...

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

    SciTech Connect (OSTI)

    Bower, Ward Isaac; Heavener, Paul; Sena-Henderson, Lisa; Hammell, Darren; Holveck, Mark; David, Carolyn; Akhil, Abbas Ali; Gonzalez, Sigifredo

    2012-01-01

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

  11. Dr. Cynthia Lo | Photosynthetic Antenna Research Center

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

    Cynthia Lo November 4, 2011 Dr. Cynthia Lo Solar Energy Published: November 4, 2011 As part of the Events & Topics in Bioenergy Series, Dr. Cynthia Lo gives here talk entitled "Solar Energy". Original Event Information: October 25, 2011 4:00 pm - 5:00 pm Brauer Hall 12

  12. Dr. David Peters | Photosynthetic Antenna Research Center

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

    David Peters October 18, 2011 Dr. David Peters An Overview of Wind Energy Systems Published: October 18, 2011 As part of PARC's Events and Topics in Bioenergy Series, Dr. David Peters gives his talk entitled "An Overiew of Wind Energy Systems". Original Event Information: October 11, 2011 4:00 pm - 5:00 pm Seigle L006

  13. Dr. Pratim Biswas | Photosynthetic Antenna Research Center

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

    Dr. Pratim Biswas February 26, 2013 Dr. Pratim Biswas "Aerosol nanoparticle technology enabling solar energy applications: Biohybrid and biomimetic solar devices" Published: February 26, 2013 Original Event Info: 12:00pm - 1:00pm, Feb. 26, 2013 DUC 276, Washington University in St. Louis - Biswas Lab Flier.pdf Events & Topics in Bioenergy

  14. JLab Mourns Loss of Dr. Brad Tippens, Dept. of Energy (A Message from Dr.

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

    Timothy Hallman, DOE) | Jefferson Lab https://www.jlab.org/news/articles/jlab-mourns-loss-dr-brad-tippens-dept-energy-message-dr-timothy-hallman-doe The Passing of Dr. William Bradford Tippens - A Message from Dr. Timothy Hallman Dear Colleague: We are deeply saddened to inform you of the passing of Dr. William Bradford (Brad) Tippens in the early morning of March 15, 2011. Since 2000, Brad had served as the Program Manager for the Medium Energy Program in the Office of Nuclear Physics of

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

    Open Energy Info (EERE)

    various aspects of demand response, distributed generation, smart grid and energy storage. Annex 9 is a list of pilot programs and case studies, with links to those...

  16. ORISE: Postdoctoral Research Experiences - Dr. David Mebane

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

    Dr. David Mebane Dr. David Mebane As some scientists turn to solar and wind energy to combat the rise in harmful greenhouse gases, West Virginia University assistant professor Dr. David Mebane looks to improve current energy technologies to mitigate these harmful fossil fuel emissions. Today, U.S. coal-fired power plants generate nearly half of the nation's electricity and contribute more than a third of total U.S. carbon dioxide emissions. As some scientists turn to solar and wind energy to

  17. Dr. Steven Chu, Secretary of Energy

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

    Steven Chu, Secretary of Energy Dr. Steven Chu, Secretary of Energy Dr. Steven Chu, distinguished scientist and co-winner of the Nobel Prize for Physics (1997), was appointed by President Obama as the 12th Secretary of Energy and sworn into office on January 21, 2009. Dr. Chu has devoted his recent scientific career to the search for new solutions to our energy challenges and stopping global climate change - a mission he continues with even greater urgency as Secretary of Energy. He is charged

  18. Dr. Margaret Chu | Department of Energy

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

    Margaret Chu About Us Dr. Margaret Chu - President, M.S. Chu+Associates, LLC Dr. Margaret Chu Dr. Margaret Chu is currently an independent consultant. She was the Director of the Office of Civilian Radioactive Waste Management at the Department of Energy (DOE) from 2002 to 2005, managing the preparation of the disposal of U.S. spent nuclear fuel and high-level waste in the Yucca Mountain repository. Prior to the DOE position, she spent 21 years in the field of nuclear waste management and risk

  19. Dr. Steven Chu, Secretary of Energy

    ScienceCinema (OSTI)

    Dr. Chu

    2010-09-01

    Remarks by Dr. Chu to staff members at Oak Ridge National Laboratory on March 23, 2010. Chu talks about the importance of scientific innovation and the need for new energy technologies.

  20. Dr.James J.Spivey

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

    Research | Publications | Books | Group | Links | Contacts Welcome to my Homepage Dr. James J. Spivey is the J. M. Shivers and C.M. Eidt,Jr. Professor of Chemical Engineering at...

  1. Dr. Martin Luther King Jr. Birthday Celebration

    Broader source: Energy.gov [DOE]

    Today, Dr. King is memorialized on the National Mall where he once spoke, a symbol of how far our Nation has come and a testament to the quiet heroes whose names may never appear in history books,...

  2. D and DR Reactors - Hanford Site

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

    About Us Projects & Facilities D and DR Reactors About Us About Hanford Cleanup Hanford History Hanford Site Wide Programs Contact Us 100 Area 118-K-1 Burial Ground 200 Area 222-S...

  3. Dr. Julio Friedmann | Department of Energy

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

    Julio Friedmann - Principal Deputy Assistant Secretary for Fossil Energy Dr. Julio Friedmann Dr. Julio Friedmann is the Principal Deputy Assistant Secretary for the Office of Fossil Energy, at the U.S. Department of Energy. His portfolio includes R&D and programs in Clean Coal and Carbon Management, Oil and Gas systems, international engagements in clean fossil energy, and inter-agency engagements within the US government. His earlier appointment as Deputy Assistant Secretary for Clean Coal

  4. DR. MARTIN L. KING, JR. BIRTHDAY CELEBRATION

    Broader source: Energy.gov [DOE]

    The MLK Day of Service is a way to transform Rev. Dr. Martin Luther King, Jr.’s life and teachings into community action that helps solve social problems. Rev. Dr. Martin Luther King, Jr. was a vital figure of the modern era and a pivotal figure in the Civil Rights Movement. His lectures and dialogues stirred the concern and sparked the conscience of a generation.

  5. ORISE Faculty Research Experiences: Dr. Dianna Spence

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

    Dianna Spence Computer Science Research Opportunity like a Hidden Treasure Dr. Dianna Spence North Georgia College and State University professor Dianna Spence, Ph.D., participated in the U.S. DOE Faculty and Student Team research program at ORNL to hasten the speed at which computationally-intensive equations are solved for the analysis of groundwater. Dr. Dianna Spence, a mathematics professor at North Georgia College and State University, enjoys teaching and working with students but also

  6. ORISE Faculty Research Experiences: Dr. Eddie Red

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

    Eddie Red Professor Makes Important Connections through Research Experience Dr. Eddie Red In ORNL's Chemical Sciences Division, Dr. Eddie Red of Morehouse College studies nanotube characteristics-technology that could impact future solar cells, as well as battery and fuel cells. Eddie C. Red, Ph.D., has longed to set up a functional research laboratory for the training and development of under-represented minorities in physics and engineering at Morehouse College, where he is a professor.

  7. ORISE Faculty Research Experiences: Dr. Rolin Mainuddin

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

    Rolin Mainuddin When do people take a path to terrorism? Three university researchers spend summer looking for answers in some unlikely ways Mitchell Wallace, Dr. Rolin Mainuddin and Aimee Williams Dr. Rolin Mainuddin (center) of North Carolina Central University spent the summer with two of his students-Mitchell Wallace (left) and Aimee Williams (right)-lending their knowledge in social sciences to help the U.S. Department of Homeland Security gain more intelligence around the process of

  8. ORISE: Postdoc Research Experiences - Dr. Sivaram Harendra

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

    Sivaram Harendra Researcher looks to help power plants clean up Dr. Sivaram Harendra reseraches improvements to IPR systems at NETL. As part of his postdoctoral research appointment, Dr. Sivaram Harendra is part of a National Energy Technology Laboratory team focused on removing carbon dioxide from fossil-fueled power plant emissions in a process called Integrated Pollutant Removal. Rising carbon dioxide levels in the earth's atmosphere are a well-known fact. The levels have been on an upward

  9. Dr. Daniel Giammar | Photosynthetic Antenna Research Center

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

    Daniel Giammar November 25, 2014 Dr. Daniel Giammar The Chemistry and Engineering for Producing and Supplying Clean Drinking Water Original Event Info: November 22, 2014 - 10:30am Brauer Hall 012, Washington University in St. Louis Dr. Daniel Giammar, EECE at WU (water pollutants) View Profile Here Join us for food, prizes, and best of all - SCIENCE! Science in St. Louis is a FREE seminar series designed to connect people with scientists in their community. Inspired by the very popular program

  10. Dr. Robert Blankenship | Photosynthetic Antenna Research Center

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

    Robert Blankenship September 10, 2011 Dr. Robert Blankenship "Solar Energy and Photosynthetic Antenna Research" Published: September 10, 2011 Dr. Robert Blankenship, Lucille P. Markey Distinguished Professor of Arts and Sciences, Departments of Biology and Chemistry, gives his talk entitled "Solar Energy and Photosynthetic Antenna Research". Original Event Info: Tuesday, September 6, 2011 Washington University Seigle L006 4:00 pm - 5:00 pm

  11. Dr. Dan E. Arvizu | Department of Energy

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

    Dan E. Arvizu About Us Dr. Dan E. Arvizu - Director, National Renewable Energy Laboratory (NREL) Dr. Dan E. Arvizu Dan Arvizu is the eighth director of the National Renewable Energy Laboratory (NREL), the Department of Energy's primary laboratory for energy efficiency and renewable energy research and development. NREL is operated for the DOE by Alliance for Sustainable Energy LLC. Arvizu is president of Alliance and an executive vice president with MRIGlobal. Prior to joining NREL, he was the

  12. Dr. Ernest Moniz | Department of Energy

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

    Ernest Moniz About Us Dr. Ernest Moniz - Secretary of Energy View a high-resolution photo of Secretary Moniz. Download high-resolution portraits As United States Secretary of Energy, Dr. Ernest Moniz is tasked with implementing critical Department of Energy missions in support of President Obama's goals of growing the economy, enhancing security and protecting the environment. This encompasses advancing the President's all-of-the-above energy strategy, maintaining the nuclear deterrent and

  13. Dr. Monica Regalbuto Confirmed as DOE Assistant Secretary for...

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

    Dr. Monica Regalbuto Confirmed as DOE Assistant Secretary for Environmental Management Dr. Monica Regalbuto Confirmed as DOE Assistant Secretary for Environmental Management August ...

  14. Geothermal Energy Association Honors NREL's Dr. Bharathan for...

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

    Energy Association Honors NREL's Dr. Bharathan for Work in Condenser Technology Geothermal Energy Association Honors NREL's Dr. Bharathan for Work in Condenser Technology July 16,...

  15. Dr Writer s Food Products Pvt Ltd | Open Energy Information

    Open Energy Info (EERE)

    Dr Writer s Food Products Pvt Ltd Jump to: navigation, search Name: Dr. Writer(tm)s Food Products Pvt. Ltd. Place: Mumbai, Maharashtra, India Sector: Biomass Product:...

  16. Dr. Peter B. Lyons Confirmed as Assistant Secretary for Nuclear...

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

    Peter B. Lyons Confirmed as Assistant Secretary for Nuclear Energy Washington, D.C. Dr. ... in Americas clean energy future. As Assistant Secretary for Nuclear Energy, Dr. ...

  17. ORISE Faculty Research Experiences: Dr. Liz Diaz Vázquez

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

    new ways to detect explosive traces Mitchell Wallace, Dr. Rolin Mainuddin and Aimee Williams Pictured L to R: Vivianette Giusti Vlez, Dr. Liz Diaz Vzquez and Anais Vzquez...

  18. Secretary Moniz Hosts Energy Security Symposium, Honors Dr. Daniel...

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

    Hosts Energy Security Symposium, Honors Dr. Daniel Yergin with First James R. Schlesinger Medal for Energy Security Secretary Moniz Hosts Energy Security Symposium, Honors Dr. ...

  19. Secretary Moniz Announces Dr. Phil Sharp as 2015 Recipient of...

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

    Dr. Phil Sharp as 2015 Recipient of Schlesinger Medal for Energy Security Secretary Moniz Announces Dr. Phil Sharp as 2015 Recipient of Schlesinger Medal for Energy Security ...

  20. JLab Mourns Loss of Dr. Brad Tippens, Dept. of Energy (A Message...

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

    https:www.jlab.orgnewsarticlesjlab-mourns-loss-dr-brad-tippens-dept-energy-message-dr-timothy-hallman-doe The Passing of Dr. William Bradford Tippens - A Message from Dr....

  1. Characterizing the Response of Commercial and Industrial Facilities to Dynamic Pricing Signals from the Utility

    SciTech Connect (OSTI)

    Mathieu, Johanna L.; Gadgil, Ashok J.; Callaway, Duncan S.; Price, Phillip N.; Kiliccote, Sila

    2010-07-01

    We describe a method to generate statistical models of electricity demand from Commercial and Industrial (C&I) facilities including their response to dynamic pricing signals. Models are built with historical electricity demand data. A facility model is the sum of a baseline demand model and a residual demand model; the latter quantifies deviations from the baseline model due to dynamic pricing signals from the utility. Three regression-based baseline computation methods were developed and analyzed. All methods performed similarly. To understand the diversity of facility responses to dynamic pricing signals, we have characterized the response of 44 C&I facilities participating in a Demand Response (DR) program using dynamic pricing in California (Pacific Gas and Electric's Critical Peak Pricing Program). In most cases, facilities shed load during DR events but there is significant heterogeneity in facility responses. Modeling facility response to dynamic price signals is beneficial to the Independent System Operator for scheduling supply to meet demand, to the utility for improving dynamic pricing programs, and to the customer for minimizing energy costs.

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

    SciTech Connect (OSTI)

    2009-01-18

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

  3. Dr. Melih Sener | Photosynthetic Antenna Research Center

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

    Melih Sener November 8, 2014 Dr. Melih Sener "Interplay of Light & Life Envisioned by Science, Literature, and the Arts" November 8, 2014 - 10:30am Brauer Hall 012, Washington University in St. Louis Dr. Melih Sener, Biophyics Melih Sener Bio Join us for food, prizes, and best of all - SCIENCE! Science in St. Louis is a FREE seminar series designed to connect people with scientists in their community. Inspired by the very popular program Saturday Morning Science at the University

  4. Dr. Ursula Goodenough | Photosynthetic Antenna Research Center

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

    Ursula Goodenough November 17, 2014 Dr. Ursula Goodenough "Developing Algae As Producers of Jet Fuel" Dr. Ursula Goodnough, Department of Biology at WU (Biofuels) View Profile Here Join us for food, prizes, and best of all - SCIENCE! Science in St. Louis is a FREE seminar series designed to connect people with scientists in their community. Inspired by the very popular program Saturday Morning Science at the University of Missouri, it is our goal to share science with EVERYONE, and to

  5. Dr. David Tiede | Photosynthetic Antenna Research Center

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

    David Tiede April 22, 2015 Dr. David Tiede "Wiring Photosynthetic and Redox Proteins for Solar Fuels Function" Original Event info: April 21, 2015 - 11:00am Rodin Auditorium, Green Hall, Washington University View David's Bio Here Download our Flyer here News/Media Seminar Series

  6. Dr. Donald Bryant | Photosynthetic Antenna Research Center

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

    Donald Bryant September 29, 2014 Dr. Donald Bryant "Far-red light photoacclimation (FaRLiP) leads to extensive acclimative remodeling of photosynthetic apparatus in cyanobacteria." View Seminar Here Original Event info: September 22, 2014 - 11:00am Washington University, Brauer Hall Room 12

  7. Dr. Jan Jaworski | Photosynthetic Antenna Research Center

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

    Jan Jaworski April 16, 2013 Dr. Jan Jaworski "Camelina as a model for oilseed technology" Published: April 16, 2013 Bio Original Event info: April 16, 2013 11:00am CST Washington University in St. Louis, Brauer Hall 012

  8. Dr. Joseph Cullen | Photosynthetic Antenna Research Center

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

    Joseph Cullen March 22, 2013 Dr. Joseph Cullen "Measuring the Environmental Benefits of Wind Power" Published: March 22, 2013 Original Event info: March 19, 2013 12:00 pm - 1:00 pm Washington University in St. Louis, DUC 276 Joseph Cullen Assistant Professor of Economics, Olin Business School

  9. Dr. Warren Beck | Photosynthetic Antenna Research Center

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

    Warren Beck April 30, 2013 Dr. Warren Beck "Femtosecond nonlinear optical studies of excited-state structural dynamics and radiationless decay in carotenoids" Published: April 30, 2013 11:00 am - 12:00 pm Brauer Hall 012, Washington University in St. Louis Warren Beck's Profile

  10. Managing Increased Charging Demand

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

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

  11. Demand Dispatch-Intelligent

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

    ... and deep debate on Demand Dispatch led by the National Action Plan (NAP) Coalition ... new policy and regulation to value the price difference between the "point of ...

  12. Managing Increased Charging Demand

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

    Managing Increased Charging Demand Carrie Giles ICF International, Supporting the ... Etiquette 4 Workplace Charging Challenge Carrie Giles carrie.giles@icfi.com Learn More: ...

  13. Tribute to Dr. John N. Bahcall by Dr. Raymond L. Orbach, Director...

    Office of Science (SC) Website

    on the Instutute for Advanced Study web site. Information about Dr. Bahcall's 2003 Enrico Fermi Award is available on the DOE Office of Science web site. Last modified: 1192015 ...

  14. Dr.L: Distributed Recursive (Graph) Layout

    Energy Science and Technology Software Center (OSTI)

    2007-11-19

    Dr. L provides two-dimensional visualizations of very large abstract graph structures. it can be used for data mining applications including biology, scientific literature, and social network analysis. Dr. L is a graph layout program that uses a multilevel force-directed algorithm. A graph is input and drawn using a force-directed algorithm based on simulated annealing. The resulting layout is clustered using a single link algorithm. This clustering is used to produce a coarsened graph (fewer nodes)more » which is then re-drawn. this process is repeated until a sufficiently small graph is produced. The smallest graph is drawn and then used as a basis for drawing the original graph by refining the series of coarsened graphs that were produced. The layout engine can be run in serial or in parallel.« less

  15. ORISE: Postdoc Research Experiences - Dr. Angela Hartsock

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

    Angela Hartsock Seeing the big picture in microbial communities Angela Hartsock, National Energy Technology Laboratory, Microbes in Wastewater, Natural Gas Drilling, Contaminated Water Angela Hartsock, Ph.D., a research fellow at the National Energy Technology Laboratory is researching ways to use microbes in wastewater from natural gas drilling to help treat the contaminated water. Environmental microbiologist Dr. Angela Hartsock, a post-doctoral research associate at the National Energy

  16. Jefferson Lab Leadership Council - Dr. Andrew Hutton

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

    Accelerator Associate Director, Dr. Andrew Hutton Andrew Hutton Associate Director of the Accelerator Division Andrew Hutton is associate director of the Accelerator Division at the Thomas Jefferson National Accelerator Facility, where he came to lead the commissioning of the CEBAF accelerator and remained to establish and lead the operation of the accelerator for Nuclear Physics. He has more than 25 years experience in all aspects of forefront accelerator projects (LEP, SLC, PEP-II, CEBAF),

  17. Dr. Su Lin | Photosynthetic Antenna Research Center

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

    Su Lin November 13, 2014 Dr. Su Lin "Electron Transfer Kinetics in Bacterial Reaction Center" Abstract This presentation will cover two topics: (1) Studying primary electron transfer in purple bacterial reaction center mutants to understand the role of protein in electron transfer processes. I will present how we interrogate electron transfer kinetics in various reaction center mutants to probe communications between the cofactors and surrounding proteins on different reaction time

  18. VBH-0028- In the Matter of Dr. Jiunn S. Yu

    Broader source: Energy.gov [DOE]

    This decision considers a Complaint filed by Dr. Jiunn S. Yu (Dr. Yu) against the Sandia Corporation (Sandia) under the Department of Energy's (DOE) Contractor Employee Protection Program, which is...

  19. Acting Biomass Program Manager Dr. Valerie Reed to Host Live...

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

    December 16th, the Energy Department (@energy) will be hosting a live Twitter Q&A on biofuels with Dr. Valerie Reed, Acting Manager of the Biomass Program. Dr. Reed holds a Ph. D....

  20. Dr. Mike McKittrick | Department of Energy

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

    Dr. Mike McKittrick About Us Dr. Mike McKittrick - Advanced Manufacturing Office lead for the Critical Materials Institute Most Recent Additive Manufacturing Meets the Critical Materials Shortage April 9

  1. USDOE's Dr. Martin Luther King, Jr. Commemorative Program

    ScienceCinema (OSTI)

    Secretary Steven Chu; Deputy Secretary Daniel Poneman; Dot Harris; Congressman John Lewis; Clay Middleton; Neile Miller

    2013-02-14

    Video presentation of the Department of Energy?s 2013 commemorative program honoring Dr. Martin Luther King, Jr.

  2. 10 Questions for a Scientist: Dr. Ryan Wiser

    Office of Energy Efficiency and Renewable Energy (EERE)

    Learn about Dr. Ryan Wiser's work to develops new areas of research on topics of enormous social consequence.

  3. Women @ Energy: Dr. Monica Regalbuto | Department of Energy

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

    Dr. Monica Regalbuto Women @ Energy: Dr. Monica Regalbuto September 21, 2015 - 4:34pm Addthis Dr. Monica Regalbuto, center, who is DOE’s assistant secretary for environmental management, surveys progress on recovery efforts at EM’s Waste Isolation Pilot Plant. Dr. Monica Regalbuto, center, who is DOE's assistant secretary for environmental management, surveys progress on recovery efforts at EM's Waste Isolation Pilot Plant. Check out other profiles in the Women @ Energy series and

  4. Dr. Bhaskaran Gopalakrishnan Extends the Reach of the West Virginia

    Office of Environmental Management (EM)

    University Industrial Assessment Center | Department of Energy Technical Assistance » Industrial Assessment Centers (IACs) » Dr. Bhaskaran Gopalakrishnan Extends the Reach of the West Virginia University Industrial Assessment Center Dr. Bhaskaran Gopalakrishnan Extends the Reach of the West Virginia University Industrial Assessment Center Discussing energy audit results — Dr. Bhaskaran Gopalakrishnan (left) and Dr. Ed Crowe (right, Engineering Scientist at West Virginia University)

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

    Office of Environmental Management (EM)

    Demand-Side Resources Chapter 3 Demand-Side Resources Demand-side resources serve resource adequacy needs by reducing load, which reduces the need for additional generation. Typically, these resources result from one of two methods of reducing load: energy efficiency or demand response / load management. The energy efficiency method designs and deploys technologies and design practices that reduce energy use while delivering the same service. PDF icon Chapter 3 Demand-Side Resources More

  6. Demand Dispatch-Intelligent

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

    Demand Dispatch-Intelligent Demand for a More Efficient Grid 10 August 2011 DOE/NETL- DE-FE0004001 U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Prepared by: National Energy Technology Laboratory Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal

  7. Dr.James J.Spivey

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

    Post Doctoral Researcher Dr. Nitin Kumar E-mail: nkumar2@tigers.lsu.edu Ph.D, 2011, Louisiana State University, Baton Rouge Current Graduate Students Khietlethanh Mai E-mail: kmai1@tigers.lsu.edu B.S., 2012, Louisiana State University, Baton Rouge, LA Research Project: Catalytic conversion of biomass-derived syngas to higher value products. Synthesize, characterize, and test Fischer-Tropsch (FT) synthesis catalysts that can selectively convert biomass-derived syngas to liquid fuels. Zi Wang

  8. Attention: Dr. D. S, Arnold Gentlemen:

    Office of Legacy Management (LM)

    October 19, 1954 National Lead company of Ohio Poet Office bx 158 lbunt Reelthy station c1nc1nnati 31, Ohio i Attention: Dr. D. S, Arnold ( Gentlemen: Mr. Al Whitman telephoned October 15th for a price onanother s{ of Westport tests In which ~nlms diurenate would be calcined in a Solids test Reactor. This is to oonflm the wrk desired and the est outside cost to you given Mr. Whitman. We understand that you vould send two samples to us. The first be minus eight mesh pellets pmduced by you at

  9. Dr. Keith Schiager, Director Radiological Health

    Office of Legacy Management (LM)

    Engineer District and the Atomic Energy Commission (AEC) during the early years of nuclear development to determine whether they need remedial action and whether the Department has authority to perform such action. Two sites under your jurisdiction were investigated under this program. Mr. W. A. McKinney, University of Utah, was notified in 1979 by letter from Dr. W. E. Mott, DOE, that the Bureau of Mines portion of the school grounds was being considered as one such site, and Mr. Downard of

  10. Dr. Keith Schiager, Director Radiological Health

    Office of Legacy Management (LM)

    Enaineer District and the Atomic Energy Commission (AEC) during the early years of nuclear development to deter%ne whether they need remed i al action and whether the Department has authority to perform such action. Two sites under your jurisdiction were investigated under this program. Mr . W. A. McKinney, University of Utah, was notified in 1979 by letter from Dr. W. E. Mott, DOE, that the Bureau of Mines portion of the school grounds was being considered as one such site, and Mr. Downard of

  11. Enrico Fermi Awards Ceremony for Dr. Mildred S. Dresselhaus and Dr. Burton Richter, May 2012 (Presentations, including remarks by Energy Secretary, Dr. Steven Chu)

    ScienceCinema (OSTI)

    Chu, Steven (U.S. Energy Secretary)

    2012-06-28

    The Fermi Award is a Presidential award and is one of the oldest and most prestigious science and technology honors bestowed by the U.S. Government. On May 7, 2012 it was conferred upon two exceptional scientists: Dr. Mildred Dresselhaus, 'for her scientific leadership, her major contributions to science and energy policy, her selfless work in science education and the advancement of diversity in the scientific workplace, and her highly original and impactful research,' and Dr. Burton Richter, 'for the breadth of his influence in the multiple disciplines of accelerator physics and particle physics, his profound scientific discoveries, his visionary leadership as SLAC Director, his leadership of science, and his notable contributions in energy and public policy.' Dr. John Holder, Director of the White House Office of Science and Technology Policy, opened the ceremony, and Dr. Bill Brinkman, Director of DOE's Office of Science introduced the main speaker, Dr. Steven Chu, U.S. Energy Secretary.

  12. Demand Charges | Open Energy Information

    Open Energy Info (EERE)

    Demand Charges Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleDemandCharges&oldid488967" Feedback Contact needs updating Image needs...

  13. Reducing Peak Demand to Defer Power Plant Construction in Oklahoma

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

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

  14. The Demand Reduction Potential of Smart Appliances in U.S. Homes

    SciTech Connect (OSTI)

    Makhmalbaf, Atefe; Srivastava, Viraj; Parker, Graham B.

    2013-08-14

    The widespread deployment of demand respond (DR) enabled home appliances is expected to have significant reduction in the demand of electricity during peak hours. The work documented in this paper focuses on estimating the energy shift resulting from the installation of DR enabled smart appliances in the U.S. This estimation is based on analyzing the market for smart appliances and calculating the total energy demand that can potentially be shifted by DR control in appliances. Appliance operation is examined by considering their sub components individually to identify their energy consumptions and savings resulting from interrupting and shifting their load, e.g., by delaying the refrigerator defrost cycle. In addition to major residential appliances, residential pool pumps are also included in this study given their energy consumption profiles that make them favorable for DR applications. In the market analysis study documented in this paper, the U.S. Energy Information Administration's (EIA) Residential Energy Consumption Survey (RECS) and National Association of Home Builders (NAHB) databases are used to examine the expected life of an appliance, the number of appliances installed in homes constructed in 10 year intervals after 1940 and home owner income. Conclusions about the effectiveness of the smart appliances in reducing electrical demand have been drawn and a ranking of appliances in terms of their contribution to load shift is presented. E.g., it was concluded that DR enabled water heaters result in the maximum load shift; whereas, dishwashers have the highest user elasticity and hence the highest potential for load shifting through DR. This work is part of a larger effort to bring novel home energy management concepts and technologies to reduce energy consumption, reduce peak electricity demand, integrate renewables and storage technology, and change homeowner behavior to manage and consume less energy and potentially save consumer energy costs.

  15. Secretary Moniz Hosts Energy Security Symposium, Honors Dr. Daniel Yergin

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

    with First James R. Schlesinger Medal for Energy Security | Department of Energy Hosts Energy Security Symposium, Honors Dr. Daniel Yergin with First James R. Schlesinger Medal for Energy Security Secretary Moniz Hosts Energy Security Symposium, Honors Dr. Daniel Yergin with First James R. Schlesinger Medal for Energy Security October 1, 2014 - 11:00am Addthis News Media Contact 202-586-4940 Secretary Moniz Hosts Energy Security Symposium, Honors Dr. Daniel Yergin with First James R.

  16. Advancing the Fundamental Understanding of Fission: 2014 LDRD 20120077DR

    Office of Scientific and Technical Information (OSTI)

    Review (Technical Report) | SciTech Connect Advancing the Fundamental Understanding of Fission: 2014 LDRD 20120077DR Review Citation Details In-Document Search Title: Advancing the Fundamental Understanding of Fission: 2014 LDRD 20120077DR Review The following slides were presented as part of the LDRD 20120077DR Progress Appraisal Review held Tuesday, February 4, 2014. This is part of an ongoing project assessment the previous of which was documented in LA-UR-13-21182. This presentation

  17. Dr. Monica Regalbuto Confirmed as DOE Assistant Secretary for Environmental

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

    Management | Department of Energy Dr. Monica Regalbuto Confirmed as DOE Assistant Secretary for Environmental Management Dr. Monica Regalbuto Confirmed as DOE Assistant Secretary for Environmental Management August 6, 2015 - 3:00pm Addthis Monica Regalbuto was confirmed by the Senate Wednesday as DOE's Assistant Secretary for Environmental Management. Monica Regalbuto was confirmed by the Senate Wednesday as DOE's Assistant Secretary for Environmental Management. WASHINGTON, D.C. - Dr.

  18. Statement from Secretary Moniz on Dr. Fatih Birol's Confirmation as

    Energy Savers [EERE]

    Executive Director of the International Energy Agency | Department of Energy from Secretary Moniz on Dr. Fatih Birol's Confirmation as Executive Director of the International Energy Agency Statement from Secretary Moniz on Dr. Fatih Birol's Confirmation as Executive Director of the International Energy Agency February 13, 2015 - 5:10pm Addthis 202 586 4940 DOENews@hq.doe.gov Statement from Secretary Moniz on Dr. Fatih Birol's Confirmation as Executive Director of the International Energy

  19. 8 Questions for a Scientist: Molecular Biologist Dr. Amanda Barry |

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

    Department of Energy for a Scientist: Molecular Biologist Dr. Amanda Barry 8 Questions for a Scientist: Molecular Biologist Dr. Amanda Barry August 13, 2015 - 9:45am Addthis Molecular biologist Dr. Amanda Barry at Los Alamos National Laboratory's environmental photobioreactor matrix, which simulates microalgal biofuel pond conditions. <a href="/node/1143116">Algal biofuels have big potential</a> for America's clean energy future. | <a

  20. Federal Energy Management Program Director: Dr. Timothy Unruh | Department

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

    of Energy About the Federal Energy Management Program » Federal Energy Management Program Director: Dr. Timothy Unruh Federal Energy Management Program Director: Dr. Timothy Unruh photo_timothy_unruh.jpg Timothy Unruh, Ph.D., PE, Leadership in Energy and Environmental Design Accredited Professional (LEED AP), Certified Energy Manager (CEM), Certified Software Development Professional, is director of the Federal Energy Management Program (FEMP). As FEMP Director, Dr. Unruh oversees the

  1. Dr. Sanjiv Malhotra to Lead Energy Department's Clean Energy Investment

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

    Center | Department of Energy Dr. Sanjiv Malhotra to Lead Energy Department's Clean Energy Investment Center Dr. Sanjiv Malhotra to Lead Energy Department's Clean Energy Investment Center January 5, 2016 - 4:28pm Addthis News Media Contact 202-586-4940 DOENews@hq.doe.gov WASHINGTON - The U.S. Department of Energy (DOE) announced today that Dr. Sanjiv Malhotra will be the first Director of the Clean Energy Investment Center (CEIC), located within the Office of Technology Transitions (OTT).

  2. Dr. Peter Lyons Announced in Senior Nuclear Position

    Broader source: Energy.gov [DOE]

    Today, the United States Department of Energy (DOE) announced the appointment of Dr. Peter Lyons to the position of Principal Deputy Assistant Secretary for Nuclear Energy.

  3. 65th Birthday of Dr.Owen Lock

    ScienceCinema (OSTI)

    None

    2011-04-25

    Remerciements au Dr.Owen Lock, un des pionniers du Cern, à l'occasion de son 65me anniversaire et sa retraite (avec plusieurs intervenants)

  4. Science Lecture: Talking the Higgs Boson with Dr. Joseph Incandela |

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

    Department of Energy Science Lecture: Talking the Higgs Boson with Dr. Joseph Incandela Science Lecture: Talking the Higgs Boson with Dr. Joseph Incandela Addthis Speakers Dr. Joseph Incandela, Steven Chu, Dr. W. F. Brinkman Topic Innovation WILLIAM BRINKMAN: Good morning. I'm Bill Brinkman, I'm the director of the Office of Science, and I'd like to thank all of you for joining us at our third science lecture. These - those of you who are here in the auditorium as well as all of you who are

  5. Dr. Sanjiv Malhotra to Lead Energy Department's Clean Energy...

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

    "Dr. Malhotra's unique experience as an accomplished scientist, entrepreneur, and businessman will be invaluable as the first director of the Clean Energy Investment Center," said ...

  6. Fuel Cell Expert Dr. Sanjiv Malhotra to Lead Energy Department...

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

    "Dr. Malhotra's unique experience as an accomplished scientist, entrepreneur, and businessman will be invaluable as the first director of the Clean Energy Investment Center," said ...

  7. Dr. Martin Keller Named Director of National Renewable Energy...

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

    Energy Laboratory October 20, 2015 Golden, Colo., October 20, 2015 - The Alliance for Sustainable Energy (Alliance) today announced the appointment of Dr. Martin Keller as...

  8. Profiles in Leadership: Dr. Julio Friedmann, Principal Deputy...

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

    with senior executives in the Office of Fossil Energy (FE). In this edition we talk to Dr. Julio Friedmann, Principal Deputy Assistant Secretary for Fossil Energy. What do...

  9. Dr. Peter B. Lyons Confirmed as Assistant Secretary for Nuclear...

    Energy Savers [EERE]

    Peter B. Lyons Confirmed as Assistant Secretary for Nuclear Energy Dr. Peter B. Lyons ... that safe nuclear power plays an important role in America's clean energy future." ...

  10. Reference Model #1 - Tidal Energy: Resource Dr. Brian Polagye

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

    Reference Model 1 - Tidal Energy: Resource Dr. Brian Polagye Northwest National Marine Renewable Energy Center University of Washington, Seattle, WA 1 Introduction Reference Model...

  11. Dr. Perlmutter on his Nobel Prize-Winning Discovery

    Broader source: Energy.gov [DOE]

    Dr. Saul Perlmutter presents, “Supernovae, Dark Energy and the Accelerating Universe: How the Energy Department Helped to Win (yet another) Nobel Prize.”

  12. travel-demand-modeling

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

    Travel Demand Modeling for a Small sized MPO Using TRANSIMS Mohammad Sharif Ullah Champaign County Regional Planning Commission 1776 E Washington Street, Urbana, IL 61802 Phone: 217 328 3313 Ext 124 Email: This email address is being protected from spambots. You need JavaScript enabled to view it. List of Authors ================ Mohammad Sharif Ullah, Senior Transportation Engineer, CCRPC, Urbana, IL Asadur Rahman, PhD student, IIT, Chicago, IL Rita Morocoima-Black, Planning & Comm.

  13. Using Utility Load Data to Estimate Demand for Space Cooling and Potential for Shiftable Loads

    SciTech Connect (OSTI)

    Denholm, P.; Ong, S.; Booten, C.

    2012-05-01

    This paper describes a simple method to estimate hourly cooling demand from historical utility load data. It compares total hourly demand to demand on cool days and compares these estimates of total cooling demand to previous regional and national estimates. Load profiles generated from this method may be used to estimate the potential for aggregated demand response or load shifting via cold storage.

  14. Enrico Fermi Awards Ceremony for Dr. Allen J. Bard and Dr. Andrew Sessler, February 2014 (Presentations, including remarks by Energy Secretary, Dr. Ernest Moniz)

    ScienceCinema (OSTI)

    Moniz, Ernest [U.S. Energy Secretary

    2014-08-22

    The Fermi Award is a Presidential award and is one of the oldest and most prestigious science and technology honors bestowed by the U.S. Government. On February 3, 2014 it was conferred upon two exceptional scientists. The first to be recognized is Dr. Allen J. Bard, 'for international leadership in electrochemical science and technology, for advances in photoelectrochemistry and photocatalytic materials, processes, and devices, and for discovery and development of electrochemical methods including electrogenerated chemiluminescence and scanning electrochemical microscopy.' The other honoree is Dr. Andrew Sessler, 'for advancing accelerators as powerful tools of scientific discovery, for visionary direction of the research enterprise focused on challenges in energy and the environment, and for championing outreach and freedom of scientific inquiry worldwide.' Dr. Patricia Dehmer opened the ceremony, and Dr. Ernest Moniz presented the awards.

  15. A Shining Example of Dr. King's legacy | Department of Energy

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

    A Shining Example of Dr. King's legacy A Shining Example of Dr. King's legacy January 9, 2013 - 11:27am Addthis A Shining Example of Dr. King’s legacy Kathy Chambers Senior Science and Technical Information Specialist, OSTI Editor's Note: This blog was originally posted on OSTI's blog. As America celebrates Martin Luther King's birthday and focuses on how far this nation has come for all people, the Energy Department's .EDUconnections is pleased to honor Delaware State University (DSU). DSU

  16. Dr. Calvin O. Butts, III | Department of Energy

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

    Calvin O. Butts, III About Us Dr. Calvin O. Butts, III - President, State University of New York (SUNY) College at Old Westbury Dr. Calvin O. Butts, III Dr. Calvin O. Butts, III, is President of State University of New York, College at Old Westbury and Pastor of the renowned Abyssinian Baptist Church in New York City. Regularly sought by leaders in politics, business, and the media for his insight and opinions, he has had a pervasive impact across his career on such wide-ranging issues as

  17. Science in St. Louis featuring Dr. Ursula Goodenough | Photosynthetic...

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

    Ursula Goodenough Science in St. Louis featuring Dr. Ursula Goodenough Developing Algae As Producers of Jet Fuel November 15, 2014 - 10:30am Brauer Hall 012, Washington University...

  18. Dr. Franklin Orr Confirmed as Under Secretary for Science and...

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

    For almost 30 years, Dr. Orr has been a member of the faculty at Stanford University. In 2009, he helped create the Stanford Precourt Institute for Energy, which he has led since ...

  19. Science in St. Louis featuring Dr. Daniel Giammar | Photosynthetic...

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

    Daniel Giammar Science in St. Louis featuring Dr. Daniel Giammar The Chemistry and Engineering for Producing and Supplying Clean Drinking Water November 22, 2014 - 10:30am Brauer...

  20. ARPA-E 2011 Keynote: Dr. Arun Majumdar

    Broader source: Energy.gov [DOE]

    Dr. Arun Majumdar, Director of the Advanced Research Projects Agency for Energy (ARPA-E) offers a glimpse into the future of energy innovation at the ARPA-E Energy Innovation Summit during his...

  1. Science on Saturday: Dr. Sabine Kastner, Princeton University...

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

    Words, Tools and the Brain: Why Humans Aren't Just Another Ape Dr. Sabine Kastner, Neuroscientist Princeton University Words, Tools and the Brain: Why Humans Aren't Just ...

  2. Advancing the Fundamental Understanding of Fission: 2014 LDRD 20120077DR

    Office of Scientific and Technical Information (OSTI)

    Review (Technical Report) | SciTech Connect Advancing the Fundamental Understanding of Fission: 2014 LDRD 20120077DR Review Citation Details In-Document Search Title: Advancing the Fundamental Understanding of Fission: 2014 LDRD 20120077DR Review × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize additional

  3. Dr. Arun Majumdar Talks Innovation in Philadelphia | Department of Energy

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

    Arun Majumdar Talks Innovation in Philadelphia Dr. Arun Majumdar Talks Innovation in Philadelphia April 29, 2011 - 3:41pm Addthis April Saylor April Saylor Former Digital Outreach Strategist, Office of Public Affairs What does this mean for me? Eliminating barriers to solar market development will save customers time and money and accelerate the adoption of solar energy in communities nationwide. Acting Under Secretary for Energy/ARPA-E Director Dr. Arun Majumdar traveled to Philadelphia this

  4. Science in St. Louis | Dr. Benjamin Kumfer | Photosynthetic Antenna

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

    Research Center Science in St. Louis | Dr. Benjamin Kumfer December 16, 2015 Science in St. Louis | Dr. Benjamin Kumfer An Introduction to Carbon Capture, Utilization, and Storage Original Event Info: December 8, 2015 - 7:00pm Jamestown Bluffs Branch, St. Louis County Library, 4153 N. Highway 67 Florissant, MO Join us for food, attendance prizes (including a Kindle Fire HD, tickets to area attractions, and t-shirts) and best of all...SCIENCE! For more information visit:

  5. Dr. George Ansell, President Colorado School of Mines Research Institute

    Office of Legacy Management (LM)

    Dr. George Ansell, President Colorado School of Mines Research Institute Golden, Colorado 80403 Dear Dr. Ansell: As you may know, the Department of Energy (DOE) is evaluating the radiological condition of sites that were utilized under the Manhattan Engineer District (MED) and the Atomic Energy Comnission (AEC) during the early years of nuclear development to determine whether they need remedial action. Mr. J. Krause of the Colorado School of Mines Research Institute was notified by letter (Mott

  6. Dr. Monica Regalbuto Confirmed as Department of Energy Assistant Secretary

    Office of Environmental Management (EM)

    for Environmental Management | Department of Energy Monica Regalbuto Confirmed as Department of Energy Assistant Secretary for Environmental Management Dr. Monica Regalbuto Confirmed as Department of Energy Assistant Secretary for Environmental Management August 5, 2015 - 5:35pm Addthis NEWS MEDIA CONTACT (202) 586-4940 DOENews@hq.doe.gov WASHINGTON - Dr. Monica Regalbuto was confirmed by the Senate on August 5, 2015 as the Department of Energy's Assistant Secretary for Environmental

  7. Plains and Eastern Clean Line Transmission Line: Comment from Dr. Contreras

    Energy Savers [EERE]

    | Department of Energy from Dr. Contreras Plains and Eastern Clean Line Transmission Line: Comment from Dr. Contreras Comment submitted on updated Part 2 application. PDF icon Comment from Dr. Contreras 6-10-15.pdf More Documents & Publications Plains and Eastern Clean Line Transmission Line: Comment from Dr. Contreras Plains and Eastern Clean Line Transmission Line: Comment from Dr. Contreras Plains and Eastern Clean Line Transmission Line: Comment from Dr. Contreras

  8. Meet Dr. Stanley Atcitty, PECASE Winner and DOE Researcher | Department of

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

    Energy Dr. Stanley Atcitty, PECASE Winner and DOE Researcher Meet Dr. Stanley Atcitty, PECASE Winner and DOE Researcher October 4, 2012 - 12:39pm Addthis Dr. Stanley Atcitty, left, and Dr. Imre Gyuk, right, at the Smithsonian, following the 2012 PECASE awards ceremony. | Photo courtesy of the Energy Department's Office of Electricity Delivery and Energy Reliability. Dr. Stanley Atcitty, left, and Dr. Imre Gyuk, right, at the Smithsonian, following the 2012 PECASE awards ceremony. | Photo

  9. Remaining Sites Verification Package for 132-DR-1, 1608-DR Effluent Pumping Station, Waste Site Reclassification Form 2005-035

    SciTech Connect (OSTI)

    R. A. Carlson

    2005-09-22

    Radiological characterization, decommissioning and demolition of the 132-DR-1 site, 1608-DR Effluent Pumping Station was performed in 1987. The current site conditions achieve the remedial action objectives and the corresponding remedial action goals established in the Remaining Sites ROD. Residual concentrations support future land uses that can be represented by a rural-residential scenario and pose no threat to groundwater or the Columbia River based on RESRAD modeling.

  10. Science on Saturday: Dr. Sabine Kastner, Princeton University: Words, Tools

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

    and the Brain: Why Humans Aren't Just Another Ape | Princeton Plasma Physics Lab February 19, 2011, 9:30am to 11:00am Science On Saturday MBG Auditorium Science on Saturday: Dr. Sabine Kastner, Princeton University: Words, Tools and the Brain: Why Humans Aren't Just Another Ape Dr. Sabine Kastner, Neuroscientist Princeton University Words, Tools and the Brain: Why Humans Aren't Just Another Ape Contact Information Coordinator(s): Ms. Deedee Ortiz dortiz@pppl.gov Host(s): Mr. Ronald Hatcher

  11. Dr. Dave Moody to Lead the Carlsbad Field Office

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

    ws U.S. Department of Energy Carlsbad Field Office Waste Isolation Pilot Plant P.O. Box 3090 Carlsbad, New Mexico 88221 DOENews For Immediate Release Dr. Dave Moody to lead the Carlsbad Field Office CARLSBAD, N.M., December 12, 2005 - The U.S. Department of Energy (DOE) announced today that long-time Los Alamos National Laboratory (LANL) scientist Dr. Dave Moody will be the new manager of the Carlsbad Field Office (CBFO). Moody began work December 12, filling the position that was previously

  12. Dr. Elizabeth Sherwood-Randall | Department of Energy

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

    Elizabeth Sherwood-Randall About Us Dr. Elizabeth Sherwood-Randall - Deputy Secretary of Energy Dr. Elizabeth Sherwood-Randall Download a high-resolution version of portrait Elizabeth Sherwood-Randall currently serves as Deputy Secretary at the U.S. Department of Energy. She has been serving in this role as second in command at the Energy Department since October 2014. She joined the Obama Administration on day one, serving from 2009 to 2013 as Special Assistant to the President and Senior

  13. Industrial Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

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

  14. Residential Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

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

  15. Oxygenate Supply/Demand Balances

    Gasoline and Diesel Fuel Update (EIA)

    Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model By Tancred C.M. Lidderdale This article first appeared in the Short-Term Energy Outlook Annual Supplement 1995, Energy Information Administration, DOE/EIA-0202(95) (Washington, DC, July 1995), pp. 33-42, 83-85. The regression results and historical data for production, inventories, and imports have been updated in this presentation. Contents * Introduction o Table 1. Oxygenate production capacity and demand *

  16. Drivers of Future Energy Demand

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

    Future Energy Demand in China Asian Energy Demand Outlook 2014 EIA Energy Conference July 14, 2014 Valerie J. Karplus MIT Sloan School of Management 2 www.china.org.cn www.flickr.com www.wikimedia.org globalchange.mit.edu Global Climate Change Human Development Local Pollution Industrial Development & Resource Needs How to balance? 0 500 1000 1500 2000 2500 3000 3500 4000 1981 1991 2001 2011 Non-material Sectors/Other Construction Commercial consumption Residential consumption Transportation

  17. Hydrogen Infrastructure Expansion: Consumer Demand and Cost-Reduction Potential (Presentation), NREL (National Renewable Energy Laboratory)

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

    Infrastructure Expansion: Consumer Demand and Cost-Reduction Potential Hydrogen Infrastructure Investment Forum- Palo Alto, California Dr. Marc Melaina Senior Engineer April 16, 2014 NREL/PR-5400-61966 2 Presentation Overview * How much do consumers value hydrogen station availability? * How much will station costs decline with volume? * What kind of market growth is needed to ensure station cost reductions (and adequate return on investment, or ROI)? How much do consumers value hydrogen station

  18. Science in St. Louis | Dr. Benjamin Kumfer | Photosynthetic Antenna

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

    Research Center Benjamin Kumfer Science in St. Louis | Dr. Benjamin Kumfer An Introduction to Carbon Capture, Utilization, and Storage December 8, 2015 - 7:00pm Jamestown Bluffs Branch, St. Louis County Library, 4153 N. Highway 67 Florissant, MO

  19. Science in St. Louis | Dr. Tristram R. Kidder | Photosynthetic Antenna

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

    Research Center Tristram R. Kidder Science in St. Louis | Dr. Tristram R. Kidder Ancient Lessons for Modern Times: An Environmental History of the Yellow River, China, 5000-2000 BC November 10, 2015 - 7:00pm Mid-County Branch, St. Louis County Library, 7821 Maryland Ave. St. Louis, MO 63105-3875

  20. Dynamic Star Formation in the Massive DR21 Filament

    SciTech Connect (OSTI)

    Schneider, N.; Csengeri, T.; Bontemps, S.; Motte, F.; Simon, R.; Hennebelle, P.; Federrath, C.; Klessen, R.; /ZAH, Heidelberg /KIPAC, Menlo Park

    2010-08-25

    The formation of massive stars is a highly complex process in which it is unclear whether the star-forming gas is in global gravitational collapse or an equilibrium state supported by turbulence and/or magnetic fields. By studying one of the most massive and dense star-forming regions in the Galaxy at a distance of less than 3 kpc, i.e. the filament containing the well-known sources DR21 and DR21(OH), we attempt to obtain observational evidence to help us to discriminate between these two views. We use molecular line data from our {sup 13}CO 1 {yields} 0, CS 2 {yields} 1, and N{sub 2}H{sup +} 1 {yields} 0 survey of the Cygnus X region obtained with the FCRAO and CO, CS, HCO{sup +}, N{sub 2}H{sup +}, and H{sub 2}CO data obtained with the IRAM 30m telescope. We observe a complex velocity field and velocity dispersion in the DR21 filament in which regions of the highest column-density, i.e., dense cores, have a lower velocity dispersion than the surrounding gas and velocity gradients that are not (only) due to rotation. Infall signatures in optically thick line profiles of HCO{sup +} and {sup 12}CO are observed along and across the whole DR21 filament. By modelling the observed spectra, we obtain a typical infall speed of {approx}0.6 km s{sup -1} and mass accretion rates of the order of a few 10{sup -3} M{sub {circle_dot}} yr{sup -1} for the two main clumps constituting the filament. These massive clumps (4900 and 3300 M{sub {circle_dot}} at densities of around 10{sup 5} cm{sup -3} within 1 pc diameter) are both gravitationally contracting. The more massive of the clumps, DR21(OH), is connected to a sub-filament, apparently 'falling' onto the clump. This filament runs parallel to the magnetic field. Conclusions. All observed kinematic features in the DR21 filament (velocity field, velocity dispersion, and infall), its filamentary morphology, and the existence of (a) sub-filament(s) can be explained if the DR21 filament was formed by the convergence of flows on large scales and is now in a state of global gravitational collapse. Whether this convergence of flows originated from self-gravity on larger scales or from other processes cannot be determined by the present study. The observed velocity field and velocity dispersion are consistent with results from (magneto)-hydrodynamic simulations where the cores lie at the stagnation points of convergent turbulent flows.

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

    SciTech Connect (OSTI)

    Kirby, Brendan J

    2006-07-01

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

  2. Dramatic Demand Reduction In The Desert Southwest

    SciTech Connect (OSTI)

    Boehm, Robert; Hsieh, Sean; Lee, Joon; Baghzouz, Yahia; Cross, Andrew; Chatterjee, Sarah

    2015-07-06

    This report summarizes a project that was funded to the University of Nevada Las Vegas (UNLV), with subcontractors Pulte Homes and NV Energy. The project was motivated by the fact that locations in the Desert Southwest portion of the US demonstrate very high peak electrical demands, typically in the late afternoons in the summer. These high demands often require high priced power to supply the needs, and the large loads can cause grid supply problems. An approach was proposed through this contact that would reduce the peak electrical demands to an anticipated 65% of what code-built houses of the similar size would have. It was proposed to achieve energy reduction through four approaches applied to a development of 185 homes in northwest part of Las Vegas named Villa Trieste. First, the homes would all be highly energy efficient. Secondly, each house would have a PV array installed on it. Third, an advanced demand response technique would be developed to allow the resident to have some control over the energy used. Finally, some type of battery storage would be used in the project. Pulte Homes designed the houses. The company considered initial cost vs. long-term savings and chose options that had relatively short paybacks. HERS (Home Energy Rating Service) ratings for the homes are approximately 43 on this scale. On this scale, code-built homes rate at 100, zero energy homes rate a 0, and Energy Star homes are 85. In addition a 1.764 Wp (peak Watt) rated PV array was used on each house. This was made up of solar shakes that were in visual harmony with the roofing material used. A demand response tool was developed to control the amount of electricity used during times of peak demand. While demand response techniques have been used in the utility industry for some time, this particular approach is designed to allow the customer to decide the degree of participation in the response activity. The temperature change in the residence can be decided by the residents by adjusting settings. In a sense the customer can choose between greater comfort and greater money savings during demand response circumstances. Finally a battery application was to be considered. Initially it was thought that a large battery (probably a sodium-sulfur type) would be installed. However, after the contract was awarded, it was determined that a single, centrally-located battery system would not be appropriate for many reasons, including that with the build out plan there would not be any location to put it. The price had risen substantially since the budget for the project was put together. Also, that type of battery has to be kept hot all the time, but its use was only sought for summer operation. Hence, individual house batteries would be used, and these are discussed at the end of this report. Many aspects of the energy use for climate control in selected houses were monitored before residents moved in. This was done both to understand the magnitude of the energy flows but also to have data that could be compared to the computer simulations. The latter would be used to evaluate various aspects of our plan. It was found that good agreement existed between actual energy use and computed energy use. Hence, various studies were performed via simulations. Performance simulations showed the impact on peak energy usage between a code built house of same size and shape compared to the Villa Trieste homes with and without the PV arrays on the latter. Computations were also used to understand the effect of varying orientations of the houses in this typical housing development, including the effect of PV electrical generation. Energy conservation features of the Villa Trieste homes decreased the energy use during peak times (as well as all others), but the resulting decreased peak occurred at about the same time as the code-built houses. Consideration of the PV generation decreases the grid energy use further during daylight hours, but did not extend long enough many days to decrease the peak. Hence, a demand response approach, as planned, was needed. With participation of the residents in the demand response program developed does enable the houses to reduce the peak demand between 66% and 72%, depending on the built years. This was addressed fully in the latter part the study and is described in the latter part of this report.

  3. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1992-04-01

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

  4. EIA projections of coal supply and demand

    SciTech Connect (OSTI)

    Klein, D.E.

    1989-10-23

    Contents of this report include: EIA projections of coal supply and demand which covers forecasted coal supply and transportation, forecasted coal demand by consuming sector, and forecasted coal demand by the electric utility sector; and policy discussion.

  5. TODAY: Advanced Biofuels Q&A with Dr. Valerie Reed

    Broader source: Energy.gov [DOE]

    Over the past two weeks, we’ve featured a number of stories about how advanced biofuels are strengthening our national security and creating economic opportunities across the country. Today, we want to hear from you as we host a live Twitter Q&A on biofuels with Dr. Valerie Reed, Acting Manager of the Biomass Program – starting at 1 PM EST this afternoon.

  6. Dr. Bill Brinkman: Working Towards Greater Energy Security | Princeton

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

    Plasma Physics Lab Dr. Bill Brinkman: Working Towards Greater Energy Security September 7, 2012 Tweet Widget Google Plus One Share on Facebook International Innovation, September 2012 International Innovation, September 2012 The director of the DOE's Office of Science is profiled in International Innovation magazine and discusses how his office, as the country's single largest supporter of basic research in the physical sciences, is the prime supporter of research in fusion energy sciences.

  7. GEOTHERMAL DISTRICT HEATING Dr. John W. Lund, PE Emeritus Director

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

    DISTRICT HEATING Dr. John W. Lund, PE Emeritus Director Geo-Heat Center Oregon Institute of Technology Klamath Falls, OR GEOTHERMAL DISTRICT HEATING/COOLING Geothermal resource supplying thermal energy to a group of buildings, providing: *Space heating and cooling *Domestic hot water heating *Industrial process heat Could be a hybrid system augmented by: *Heat Pump to boost temperature *Conventional boiler for peaking MAJOR SYSTEM COMPONENTS 1. Heat Production - well field(s) * Production wells

  8. Dr. Kathleen Hogan Deputy Assistant Secretary for Energy Efficiency

    Office of Environmental Management (EM)

    Dr. Kathleen Hogan Deputy Assistant Secretary for Energy Efficiency Office of Energy Efficiency and Renewable Energy U.S. Department of Energy Before the Subcommittee on Energy and Power Committee on Energy and Commerce United States House of Representatives June 3, 2015 2 Introduction Chairman Upton, Ranking Member Pallone, Chairman Whitfield, Ranking Member Rush, and Members of the Subcommittee, thank you for the opportunity to testify today on behalf of the Department of Energy's (DOE) Office

  9. Reducing Peak Demand to Defer Power Plant Construction in Oklahoma

    Energy Savers [EERE]

    Reducing Peak Demand to Defer Power Plant Construction in Oklahoma Located in the heart of "Tornado Alley," Oklahoma Gas & Electric Company's (OG&E) electric grid faces significant challenges from severe weather, hot summers, and about 2% annual load growth. To better control costs and manage electric reliability under these conditions, OG&E is pursuing demand response strategies made possible by implementation of smart grid technologies, tools, and techniques from

  10. Projecting Electricity Demand in 2050

    SciTech Connect (OSTI)

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

    2014-07-01

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

  11. Commercial Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

  12. Promising Technology: Demand Control Ventilation

    Broader source: Energy.gov [DOE]

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

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

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

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

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

    Office of Environmental Management (EM)

    Marketing & Driving Demand: Social Media Tools & Strategies - January 16, 2011 (Text Version) Marketing & Driving Demand: Social Media Tools & Strategies - January 16, 2011 (Text...

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

    Open Energy Info (EERE)

    Demand Management Institute (DMI) Jump to: navigation, search Name: Demand Management Institute (DMI) Address: 35 Walnut Street Place: Wellesley, Massachusetts Zip: 02481 Region:...

  16. S3TEC Seminar - Dr. Cliff Ho, Sandia National Laboratories | Solid State

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

    Solar Thermal Energy Conversion Dr. Cliff Ho, Sandia National Laboratories Seminar Wednesday Mar 2, 2016 12:00pm Location: 1-150 Speaker: Cliff Ho S3TEC welcomes Dr. Cliff Ho

  17. WBU-14-0011- In the Matter of Dr. Paul M. Cole, Ph.D

    Broader source: Energy.gov [DOE]

    On November 3, 2014, the Office of Hearings and Appeals (OHA) issued a decision denying a jurisdictional appeal filed by Dr. Paul M. Cole, Ph.D (Dr. Cole), a former Oak Ridge Institute for Science...

  18. Secretary Moniz to Honor Dr. Phil Sharp, 2015 Recipient of the...

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

    to Honor Dr. Phil Sharp, 2015 Recipient of the Schlesinger Medal for Energy Security, at Department of Energy Event Secretary Moniz to Honor Dr. Phil Sharp, 2015 Recipient of the ...

  19. Swearing-In Deputy Secretary of Energy Dr. Elizabeth Sherwood-Randall |

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

    Department of Energy Swearing-In Deputy Secretary of Energy Dr. Elizabeth Sherwood-Randall Swearing-In Deputy Secretary of Energy Dr. Elizabeth Sherwood-Randall

  20. 10 Questions for a Scientist: Dr. Adam Weber of Lawrence Berkeley National

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

    Laboratory | Department of Energy 10 Questions for a Scientist: Dr. Adam Weber of Lawrence Berkeley National Laboratory 10 Questions for a Scientist: Dr. Adam Weber of Lawrence Berkeley National Laboratory January 15, 2014 - 10:25am Addthis Dr. Adam Weber oversees the work of intern Sara Kelly at Lawrence Berkeley National Laboratory in California. Dr. Weber was recently named one of the winners of the Presidential Early Career Awards for Scientists and Engineers. | Photo by Roy Kaltschmidt,

  1. Secretary Bodman Statement on Dr. Orbach Swearing In as DOE Under Secretary

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

    for Science | Department of Energy Statement on Dr. Orbach Swearing In as DOE Under Secretary for Science Secretary Bodman Statement on Dr. Orbach Swearing In as DOE Under Secretary for Science June 1, 2006 - 11:57am Addthis WASHINGTON, DC - Energy Secretary Samuel W. Bodman administered the Oath of Office to Dr. Raymond L. Orbach to be the Department of Energy's (DOE) first Under Secretary for Science, earlier this afternoon. Dr. Orbach was unanimously confirmed by the United States Senate

  2. Upholding Dr. King's Dream and Inspiring the Next Generation Through STEM

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

    Education | Department of Energy Upholding Dr. King's Dream and Inspiring the Next Generation Through STEM Education Upholding Dr. King's Dream and Inspiring the Next Generation Through STEM Education January 27, 2015 - 12:56pm Addthis Upholding Dr. King’s Dream and Inspiring the Next Generation Through STEM Education Joshua Sneideman Joshua Sneideman Albert Einstein Distinguished Educator Fellow According to the Reverend Dr. Martin Luther King, Jr., "The function of education is

  3. Dr. James B. Murphy | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    » Dr. James B. Murphy Scientific User Facilities (SUF) Division SUF Home About Staff Dr. James B. Murphy What's New User Facilities Projects Accelerator & Detector Research Science Highlights Principal Investigators' Meetings BES Home Staff Dr. James B. Murphy Print Text Size: A A A FeedbackShare Page Dr. James Murphy Director Scientific User Facilities Division Office of Basic Energy Sciences SC-22.3/Germantown Building U.S. Department of Energy 1000 Independence Avenue, SW Washington,

  4. Dr James J Rhyne | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Dr James J Rhyne Scientific User Facilities (SUF) Division SUF Home About Staff Dr. James B. Murphy What's New User Facilities Projects Accelerator & Detector Research Science Highlights Principal Investigators' Meetings BES Home Staff Dr James J Rhyne Print Text Size: A A A FeedbackShare Page Dr. James Rhyne Program Manager Neutron and X-ray Scattering Facilities Office of Basic Energy Sciences SC-22.3/Germantown Building U.S. Department of Energy 1000 Independence Avenue, SW Washington,

  5. Dr. James J. Markowsky Confirmed as DOE's Assistant Secretary for Fossil

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

    Energy | Department of Energy Dr. James J. Markowsky Confirmed as DOE's Assistant Secretary for Fossil Energy Dr. James J. Markowsky Confirmed as DOE's Assistant Secretary for Fossil Energy August 10, 2009 - 1:00pm Addthis Washington, DC - Dr. James J. Markowsky was confirmed by the Senate on August 7, 2009, as the 11th Assistant Secretary for Fossil Energy. As Assistant Secretary for Fossil Energy, Dr. Markowsky will serve as the primary policy advisor to the Energy Secretary and the

  6. Fuel Cell Expert Dr. Sanjiv Malhotra to Lead Energy Department's Clean

    Office of Environmental Management (EM)

    Energy Investment Center | Department of Energy Expert Dr. Sanjiv Malhotra to Lead Energy Department's Clean Energy Investment Center Fuel Cell Expert Dr. Sanjiv Malhotra to Lead Energy Department's Clean Energy Investment Center January 8, 2016 - 1:41pm Addthis On January 5, the U.S. Department of Energy (DOE) announced that Dr. Sanjiv Malhotra will be the first Director of the Clean Energy Investment Center (CEIC), located within the Office of Technology Transitions. Dr. Malhotra joins the

  7. 10 Questions for a Materials Scientist: Mr. Rare Earth -- Dr. Karl A.

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

    Gschneidner, Jr. | Department of Energy Mr. Rare Earth -- Dr. Karl A. Gschneidner, Jr. 10 Questions for a Materials Scientist: Mr. Rare Earth -- Dr. Karl A. Gschneidner, Jr. April 3, 2013 - 12:59pm Addthis Dr. Karl Gschneidner is holding a neodymium-iron-boron magnet produced using a new, greener process. The process that Dr. Gschneidner helped develop doesn’t produce the environmentally unfriendly byproducts that result from traditional manufacturing methods. | Photo courtesy of Ames

  8. BEopt-CA (Ex): A Tool for Optimal Integration of EE, DR and PV in Existing California Homes

    SciTech Connect (OSTI)

    Christensen, C.; Horowitz, S.; Maguire, J.; Tabares-Velasco, P.; Springer, D.; Coates, P.; Bell, C.; Price, S.; Sreedharan, P.; Pickrell, K.

    2014-04-01

    Opportunities for combining energy efficiency, demand response, and energy storage with PV are often missed, because the required knowledge and expertise for these different technologies exist in separate organizations or individuals. Furthermore, there is a lack of quantitative tools to optimize energy efficiency, demand response and energy storage with PV, especially for existing buildings. As technology costs evolve (e.g., the ongoing reduction in the cost of PV), design strategies need to be adjusted accordingly based on quantitative analysis.

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

    Energy Savers [EERE]

    | Department of Energy Report: Impacts of Demand-Side Resources on Electric Transmission Planning Report: Impacts of Demand-Side Resources on Electric Transmission Planning This report assesses the relationship between high levels of demand-side resources (including end-use efficiency, demand response, and distributed generation) and investment in new transmission or utilization of existing transmission. It summarizes the extensive modeling of transmission scenarios done through DOE-funded

  10. 8 Questions with Dr. Andres Tovar, Winner of ARPA-E's LITECAR Challenge |

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

    Department of Energy with Dr. Andres Tovar, Winner of ARPA-E's LITECAR Challenge 8 Questions with Dr. Andres Tovar, Winner of ARPA-E's LITECAR Challenge April 30, 2015 - 11:21am Addthis Dr. Andres Tovar, winner of the ARPA-E LITECAR challenge, is an assistant professor at Indiana University-Purdue University Indianapolis. | Photo courtesy of Dr. Andres Tovar. Dr. Andres Tovar, winner of the ARPA-E LITECAR challenge, is an assistant professor at Indiana University-Purdue University

  11. Secretary Moniz Announces Dr. Phil Sharp as 2015 Recipient of Schlesinger

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

    Medal for Energy Security | Department of Energy Dr. Phil Sharp as 2015 Recipient of Schlesinger Medal for Energy Security Secretary Moniz Announces Dr. Phil Sharp as 2015 Recipient of Schlesinger Medal for Energy Security December 21, 2015 - 1:16pm Addthis News Media Contact (202) 586-4940 DOENews@hq.doe.gov WASHINGTON -- U.S. Secretary of Energy Dr. Ernest Moniz today announced Dr. Phil Sharp as the second recipient of the James R. Schlesinger Medal for Energy Security. Dr. Sharp is

  12. Climate-Carbon Cycle Interactions Dr. John P. Krasting

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

    Modeling of Climate-Carbon Cycle Interactions Dr. John P. Krasting geophysical fluid dynamics Laboratory Wednesday, Jan 23, 2013 - 4:15PM MBG AUDITORIUM Refreshments at 4:00PM The PrinceTon Plasma Physics laboraTory is a U.s. DeParTmenT of energy faciliTy The interactions between Earth's carbon cycle and climate are key to understanding both past and future climate change. NOAA-GFDL developed two coupled climate- carbon cycle models - or Earth System Models (ESMs) - that are able to simulate

  13. Dr. Wm. E. Mott, Director Environmental 8 Safety Eng. Div.

    Office of Legacy Management (LM)

    Wm. E. Mott, Director Environmental 8 Safety Eng. Div. 0f.f ice of Environment (EU- 14) Dept. of Energy Washington, DC 20545 Dear Dr. Mott: MED Warehousing Location The sites listed in your letter of Febru; to determine present utilization and ownershi] the information available at this time: 1. Utica Street Warehouse 240 W. Utica Street Buffalo, ?pI The area of 240 and 242 W. Utica St, drive to a 4-story parking garage for Ch The ramp is about 4 years old and previol there was a paved parking

  14. MODELING THE DEMAND FOR E85 IN THE UNITED STATES

    SciTech Connect (OSTI)

    Liu, Changzheng; Greene, David L

    2013-10-01

    How demand for E85 might evolve in the future in response to changing economics and policies is an important subject to include in the National Energy Modeling System (NEMS). This report summarizes a study to develop an E85 choice model for NEMS. Using the most recent data from the states of Minnesota, North Dakota, and Iowa, this study estimates a logit model that represents E85 choice as a function of prices of E10 and E85, as well as fuel availability of E85 relative to gasoline. Using more recent data than previous studies allows a better estimation of non-fleet demand and indicates that the price elasticity of E85 choice appears to be higher than previously estimated. Based on the results of the econometric analysis, a model for projecting E85 demand at the regional level is specified. In testing, the model produced plausible predictions of US E85 demand to 2040.

  15. Response Response

    National Nuclear Security Administration (NNSA)

    Attachment 7 Response Response Response Response Response Response Response Response Response Response Response Response Percent of Mentors that are People with Disabilities 9.00% Total number of Mentors (The count used to calculate the Mentor percentages) 252 Demographic Information Percent of Mentors Two or More Races Not reported Percent of White Mentors 63.00% Percent of Female Mentors 39.00% Percent of Male Mentors 61.00% Percent of Veteran Mentors 21.00% Percent of Asian American Mentors

  16. STEO December 2012 - coal demand

    Gasoline and Diesel Fuel Update (EIA)

    coal demand seen below 1 billion tons in 2012 for fourth year in a row Coal consumption by U.S. power plants to generate electricity is expected to fall below 1 billion tons in 2012 for the fourth year in a row. Domestic coal consumption is on track to total 829 million tons this year. That's the lowest level since 1992, according to the U.S. Energy Information Administration's new monthly energy forecast. Utilities and power plant operators are choosing to burn more lower-priced natural gas

  17. CENSUS OF BLUE STARS IN SDSS DR8

    SciTech Connect (OSTI)

    Scibelli, Samantha; Newberg, Heidi Jo; Carlin, Jeffrey L.; Yanny, Brian

    2015-01-01

    We present a census of the 12,060 spectra of blue objects ((g r){sub 0} < 0.25) in the Sloan Digital Sky Survey (SDSS) Data Release 8 (DR8). As part of the data release, all of the spectra were cross-correlated with 48 template spectra of stars, galaxies, and QSOs to determine the best match. We compared the blue spectra by eye to the templates assigned in SDSS DR8. 10,856 of the objects matched their assigned template, 170 could not be classified due to low signal-to-noise ratio, and 1034 were given new classifications. We identify 7458 DA white dwarfs, 1145 DB white dwarfs, 273 rarer white dwarfs (including carbon, DZ, DQ, and magnetic), 294 subdwarf O stars, 648 subdwarf B stars, 679 blue horizontal branch stars, 1026 blue stragglers, 13 cataclysmic variables, 129 white dwarf-M dwarf binaries, 36 objects with spectra similar to DO white dwarfs, 179, quasi-stellar objects (QSOs), and 10 galaxies. We provide two tables of these objects, sample spectra that match the templates, figures showing all of the spectra that were grouped by eye, and diagnostic plots that show the positions, colors, apparent magnitudes, proper motions, etc., for each classification. Future surveys will be able to use templates similar to stars in each of the classes we identify to automatically classify blue stars, including rare types.

  18. Response

    Energy Savers [EERE]

    Response SEAB Recommendations Related to the Evaluation of New Funding Constructs for Energy R&D in the Department of Energy Introduction Over the past seven years, the Department of Energy (DOE) has introduced several new energy research and development (R&D) management and funding mechanisms, designed to complement each other, with the goal of maximizing the Nation's ability to achieve energy breakthroughs as quickly as possible. * Energy Frontier Research Centers (EFRCs) focus on

  19. Energy demand and population changes

    SciTech Connect (OSTI)

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

    1980-12-01

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

  20. Dr Michael Pechan | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Dr Michael Pechan Materials Sciences and Engineering (MSE) Division MSE Home About Staff What's New Research Areas Reports and Activities Science Highlights Principal Investigators' Meetings BES Home Staff Dr Michael Pechan Print Text Size: A A A FeedbackShare Page Dr Michael Pechan Program Manager Experimental Condensed Matter Physics Materials Sciences and Engineering Division Office of Basic Energy Sciences SC-22.2/Germantown Building, Room F-425 U.S. Department of Energy 1000 Independence

  1. Dr Philip Kraushaar | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Dr. Philip Kraushaar Scientific User Facilities (SUF) Division SUF Home About Staff Dr. James B. Murphy What's New User Facilities Projects Accelerator & Detector Research Science Highlights Principal Investigators' Meetings BES Home Staff Dr. Philip Kraushaar Print Text Size: A A A FeedbackShare Page Program Manager Construction Line Items Facilities Upgrades Major Items of Equipments Office of Basic Energy Sciences SC-22.3/Germantown Building U.S. Department of Energy 1000 Independence

  2. "Is There a Future for Nuclear Power After Fukushima?", Dr. Alexander...

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

    "Is There a Future for Nuclear Power After Fukushima?", Dr. Alexander Glaser, Woodrow ... Is There a Future for Nuclear Power After Fukushima? PPPL Entrance Procedures Visitor ...

  3. Safety evaluation for packaging for 1720-DR sodium-filled tank

    SciTech Connect (OSTI)

    Mercado, M.S.

    1996-03-09

    Preparations are under way to sell the sodium stored in the 1720-DR tank in the 1720-DR building. This will require that the tank, as well as the 1720-DR facility, be moved to the 300 Area, so that the sodium may be melted and transferred into a railroad tanker car. Because the sodium is a hazardous material and is being shipped in a nonspecification packaging, a safety evaluation for packaging (SEP) is required. This SEP approves the sodium-filled tank for a single shipment from the 105-DR area to the 300 Area.

  4. President-Elect Obama Nominates Dr. Steven Chu as Energy Secretary |

    Energy Savers [EERE]

    Department of Energy President-Elect Obama Nominates Dr. Steven Chu as Energy Secretary President-Elect Obama Nominates Dr. Steven Chu as Energy Secretary December 17, 2008 - 2:30pm Addthis Photo of Steven Chu. President-elect Barack Obama has nominated Dr. Steven Chu, the current director of DOE's Lawrence Berkeley National Laboratory (LBNL), to be the next Secretary of Energy. Dr. Chu won the Nobel Prize for physics in 1997 and has run LBNL since 2004. Prior to that time, he was a

  5. Dr Matthias Graf | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Ph. D. (Dr. rer. nat.), Department of Physics, University of Bayreuth, Bayreuth, Germany, 1995 M. S. (Dipl.-Phys.), Department of Physics, University of Bayreuth, Bayreuth,...

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

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

    Marketing & Driving Demand Collaborative - Social Media Tools & Strategies Presentation slides from the Better Buildings webinar on January 6, 2011. PDF icon Marketing & Driving ...

  7. Fabricate-on-Demand Vacuum Insulating Glazings

    Broader source: Energy.gov [DOE]

    PPG is working to design a fabricate-on-demand process to overcome the cost and supply chain issues preventing widespread adoption of vacuum insulating glazings (VIGs).

  8. Geographically Based Hydrogen Consumer Demand and Infrastructure...

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

    Geographically Based Hydrogen Consumer Demand and Infrastructure Analysis Final Report M. Melendez and A. Milbrandt Technical Report NRELTP-540-40373 October 2006 NREL is operated...

  9. Reducing Logistics Footprints and Replenishment Demands: Nano...

    Office of Scientific and Technical Information (OSTI)

    Water Treatment Citation Details In-Document Search Title: Reducing Logistics Footprints and Replenishment Demands: Nano-engineered Silica Aerogels a Proven Method for Water ...

  10. Generating Demand for Multifamily Building Upgrades

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Peer Exchange Call Series: Generating Demand for Multifamily Building Upgrades, call slides and discussion summary, May 14, 2015.

  11. Incentives for demand-side management

    SciTech Connect (OSTI)

    Reid, M.W.; Brown, J.B.

    1992-01-01

    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.

  12. Incentives for demand-side management

    SciTech Connect (OSTI)

    Reid, M.W.; Brown, J.B. )

    1992-01-01

    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.

  13. 2012 CERTS LAAR Program Peer Review - Frequency Response Demand...

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

    PNNL investigations associated with Grid Friendly(tm) Appliance Controller deployment IEEE Task Force convened approx. 10 years ago (now disbanded) on fast-acting load control ...

  14. Climate Mitigation Policy Implications for Global Irrigation Water Demand

    SciTech Connect (OSTI)

    Chaturvedi, Vaibhav; Hejazi, Mohamad I.; Edmonds, James A.; Clarke, Leon E.; Kyle, G. Page; Davies, Evan; Wise, Marshall A.

    2013-08-22

    Energy, water and land are scarce resources, critical to humans. Developments in each affect the availability and cost of the others, and consequently human prosperity. Measures to limit greenhouse gas concentrations will inevitably exact dramatic changes on energy and land systems and in turn alter the character, magnitude and geographic distribution of human claims on water resources. We employ the Global Change Assessment Model (GCAM), an integrated assessment model to explore the interactions of energy, land and water systems in the context of alternative policies to limit climate change to three alternative levels: 2.5 Wm-2 (445 ppm CO2-e), 3.5 Wm-2 (535 ppm CO2-e) and 4.5 Wm-2 (645 ppm CO2-e). We explore the effects of alternative land-use emissions mitigation policy optionsone which values terrestrial carbon emissions equally with fossil fuel and industrial emissions, and an alternative which places no penalty on land-use change emissions. We find that increasing populations and economic growth could be anticipated to lead to increased demand for water for agricultural systems (+200%), even in the absence of climate change. In general policies to mitigate climate change will increase agricultural demands for water, regardless of whether or not terrestrial carbon is valued or not. Burgeoning demands for water are driven by the demand for bioenergy in response to emissions mitigation policies. We also find that the policy matters. Increases in the demand for water when terrestrial carbon emissions go un-prices are vastly larger than when terrestrial system carbon emissions are prices at the same rate as fossil fuel and industrial emissions. Our estimates for increased water demands when terrestrial carbon systems go un-priced are larger than earlier studies. We find that the deployment of improved irrigation delivery systems could mitigate some of the increase in water demands, but cannot reverse the increases in water demands when terrestrial carbon emissions go un-priced. Finally we estimates that the geospatial pattern of water demands could stress some parts of the world, e.g. China, India and other countries in south and east Asia, earlier and more intensely than in other parts of the world, e.g. North America.

  15. By:\tDr.\tNabil\tNasr

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

    Sustainable Manufacturing . . . is the economical creation of goods and services using ... Issue Areas Indicators category Social responsibility Material use Water use Energy use ...

  16. Scoping Study for Demand Respose DFT II Project in Morgantown, WV

    SciTech Connect (OSTI)

    Lu, Shuai; Kintner-Meyer, Michael CW

    2008-06-06

    This scoping study describes the underlying data resources and an analysis tool for a demand response assessment specifically tailored toward the needs of the Modern Grid Initiatives Demonstration Field Test in Phase II in Morgantown, WV. To develop demand response strategies as part of more general distribution automation, automated islanding and feeder reconfiguration schemes, an assessment of the demand response resource potential is required. This report provides the data for the resource assessment for residential customers and describes a tool that allows the analyst to estimate demand response in kW for each hour of the day, by end-use, season, day type (weekday versus weekend) with specific saturation rates of residential appliances valid for the Morgantown, WV area.

  17. Statement by Under Secretary for Science Dr. Raymond L. Orbach on the

    Office of Science (SC) Website

    Election of Dr. Dennis Kovar and Bill Valdez as 2006 AAAS Fellows | U.S. DOE Office of Science (SC) Statement by Under Secretary for Science Dr. Raymond L. Orbach on the Election of Dr. Dennis Kovar and Bill Valdez as 2006 AAAS Fellows News News Home Featured Articles Science Headlines 2015 2014 2013 2016 2012 2011 2010 2009 2008 2007 2006 2005 Science Highlights Presentations & Testimony News Archives Communications and Public Affairs Contact Information Office of Science U.S.

  18. Dr Peter L Lee | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Peter L Lee Scientific User Facilities (SUF) Division SUF Home About Staff Dr. James B. Murphy What's New User Facilities Projects Accelerator & Detector Research Science Highlights Principal Investigators' Meetings BES Home Staff Dr. Peter L Lee Print Text Size: A A A FeedbackShare Page Dr. Peter L. Lee Program Manager X-ray and Neutron Scattering Facilities Office of Basic Energy Sciences SC-22.3/Germantown Building U.S. Department of Energy 1000 Independence Avenue, SW Washington, D.C.

  19. Our Energy Independence - A Live Chat With Dr. Arun Majumdar | Department

    Energy Savers [EERE]

    of Energy Energy Independence - A Live Chat With Dr. Arun Majumdar Our Energy Independence - A Live Chat With Dr. Arun Majumdar June 29, 2011 - 11:16am Addthis Dr. Arun Majumdar takes your questions about investments we're making to build the clean energy infrastructure of the future. Ginny Simmons Ginny Simmons Former Managing Editor for Energy.gov, Office of Public Affairs How can I participate? Submit a question via E-mail, Facebook or Twitter Watch live at 2 PM [UPDATED with video from

  20. Dr. Ellen Williams Confirmed as Director of ARPA-E | Department of Energy

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

    Ellen Williams Confirmed as Director of ARPA-E Dr. Ellen Williams Confirmed as Director of ARPA-E December 8, 2014 - 6:30pm Addthis News Media Contact 202-586-4940 Dr. Ellen Williams Confirmed as Director of ARPA-E WASHINGTON - Dr. Ellen Williams was confirmed by the United States Senate on Monday, December 8, 2014 as the Director of the Department of Energy's Advanced Research Projects Agency - Energy (ARPA-E). "ARPA-E is central to the Department's advancement of energy technology

  1. Llr. Norgnn of the St. Louis office tolepbonod Dr. ;PuAuff mcently

    Office of Legacy Management (LM)

    Llr. Norgnn of the St. Louis office tolepbonod Dr. ;PuAuff mcently rtxpeetlng pemlasion to !wu mpmaentatfoee of Uallinckrodt visit 03% to review rare earth smparatlon tmkniquas. Their lntsmst In purev binstrIal In that they hop to indsti- preilnotlon '- emparntlon of thssae elwnts., Dr. %odnUf oheckad ritli Paul -1. : '/I .._ ,,,. . . w!w was will- to ao"rrlon~vit~~'thoir,Pisiffirg.~e Laboratory sliax he did not feel that it lzpliad 8.pmferentia.l tmabmnt of KalllncJwodt. Subsquently, Dr.

  2. Dr. Cherry Murray Confirmed as Director of the Office of Science |

    Office of Environmental Management (EM)

    Department of Energy Cherry Murray Confirmed as Director of the Office of Science Dr. Cherry Murray Confirmed as Director of the Office of Science December 11, 2015 - 3:04pm Addthis News Media Contact (202) 586-4940 DOENews@hq.doe.gov WASHINGTON - Dr. Cherry Murray was confirmed by the Senate on Thursday, December 10, 2015 as the Director of the Department of Energy's Office of Science. "Dr. Murray will be an outstanding Director of the Office of Science, drawing upon her experience in

  3. Dr. Peter B. Lyons Confirmed as Assistant Secretary for Nuclear Energy |

    Office of Environmental Management (EM)

    Department of Energy Dr. Peter B. Lyons Confirmed as Assistant Secretary for Nuclear Energy Dr. Peter B. Lyons Confirmed as Assistant Secretary for Nuclear Energy April 15, 2011 - 3:53pm Addthis WASHINGTON, D.C. - Dr. Peter B. Lyons was confirmed by the Senate on Thursday, April 14, as the Department of Energy's Assistant Secretary for Nuclear Energy. "Pete Lyons' depth of expertise and experience make him uniquely qualified for this role, and I am confident he will continue to serve

  4. Microsoft Word - Understanding Smart Grid Benefits_final.docx

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

    ... Advanced Metering Infrastructure (AMI) Customer Side Systems (CS) Demand Response (DR) Distribution Management SystemDistribution Automation (DMS) ...

  5. U.S. Coal Supply and Demand

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand 2010 Review (entire report also available in printer-friendly format ) Previous Editions 2009 Review 2008 Review 2007 Review 2006 Review 2005 Review 2004 Review 2003 Review 2002 Review 2001 Review 2000 Review 1999 Review Data for: 2010 Released: May 2011 Next Release Date: April 2012 Table 3. Electric Power Sector Net Generation, 2009-2010 (Million Kilowatthours) New England Coal 14,378 14,244 -0.9

  6. Electricity demand in a developing country. [Paraguay

    SciTech Connect (OSTI)

    Westley, G.D.

    1984-08-01

    This study analyzes the residential and commercial demand for electricity in ten regions in Paraguay for 1970-1977. Models that are both linear and nonlinear in the parameters are estimated. The nonlinear model takes advantage of prior information on the nature of the appliances being utilized and simultaneously deals with the demand discontinuities caused by appliance indivisibility. Three dynamic equations, including a novel cumulative adjustment model, all indicate rapid adjustment to desired appliance stock levels. Finally, the multiproduct surplus loss obtained from an estimated demand equation is used to measure the welfare cost of power outages. 15 references.

  7. Interview with ARPA-E Acting Director Dr. Cheryl Martin on Platts Energy Week

    ScienceCinema (OSTI)

    Martin, Cheryl; Loveless, Bill

    2014-04-11

    Bill Loveless from Platts Energy Week interviews ARPA-E Acting Director, Dr. Cheryl Martin, about the many transformational energy technologies on display at ARPA-E's 5th annual Energy Innovation Summit.

  8. GE Bright Mind: Dr. John Schenck and the forefront of MRI research...

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

    systems," he said. "I wanted to learn more about the brain and how it worked with the body." Dr. Schenck started a very popular electrical engineering graduate course exploring...

  9. NNSA announces retirement of Dr. Steve Aoki, after 33 years of...

    National Nuclear Security Administration (NNSA)

    Sheets Newsletters Press Releases Video Gallery Photo Gallery Jobs Apply for Our Jobs Our Jobs Working at NNSA Blog Home NNSA Blog NNSA announces retirement of Dr. Steve Aoki,...

  10. SRNL’s Dr. Terry Michalske Named National Lab Director of the Year

    Broader source: Energy.gov [DOE]

    AIKEN, S.C. – The Savannah River National Laboratory’s (SRNL) Dr. Terry Michalske has been selected as National Laboratory Director of the Year by DOE’s Office of Small and Disadvantaged Business Utilization (OSDBU).

  11. Interview with ARPA-E Acting Director Dr. Cheryl Martin on Platts Energy Week

    SciTech Connect (OSTI)

    Martin, Cheryl; Loveless, Bill

    2014-03-18

    Bill Loveless from Platts Energy Week interviews ARPA-E Acting Director, Dr. Cheryl Martin, about the many transformational energy technologies on display at ARPA-E's 5th annual Energy Innovation Summit.

  12. Dr. Monica Regalbuto Lays Out Vision for Tenure as EM’s New Assistant Secretary

    Broader source: Energy.gov [DOE]

    WASHINGTON, D.C. – Confirmed as EM’s Assistant Secretary in August, Dr. Monica Regalbuto provides the leadership necessary to continue EM’s safe cleanup of the environmental legacy of the Cold War and Manhattan Project.

  13. Dr. Charles (Chuck) Peden | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    of several new catalytic technologies that are viable candidates for exhaust emission control from future fuel-efficient vehicles. Dr. Peden is the author of over 250 papers in...

  14. Purdue and Delphi Team Up for Training: Q&A with Dr. Oleg Wasynczuk

    Broader source: Energy.gov [DOE]

    An interview with Dr. Oleg Wasynczuk, the professor behind Purdue's EV101 Introduction to Electric Vehicle Systems course, which aims to re-train workers on the technologies needed to design and manufacture hybrid and electric vehicles.

  15. Dr Mark Spitler | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Print Text Size: A A A FeedbackShare Page Dr. Mark Spitler Program Manager Solar Photochemistry Office of Basic Energy Sciences SC-22.1Germantown Building U.S. Department of ...

  16. Profiles in Leadership: Dr. Julio Friedmann, Principal Deputy Assistant Secretary for the Office of Fossil Energy

    Broader source: Energy.gov [DOE]

    This is the second issue of Profiles in Leadership, a series of interviews with senior executives in the Office of Fossil Energy (FE). In this edition we talk to Dr. Julio Friedmann, Principal Deputy Assistant Secretary for Fossil Energy.

  17. Global Energy: Supply, Demand, Consequences, Opportunities

    ScienceCinema (OSTI)

    Majumdar, Arun

    2010-01-08

    July 29, 2008 Berkeley Lab lecture: Arun Majumdar, Director of the Environmental Energy Technologies Division, discusses current and future projections of economic growth, population, and global energy demand and supply, and explores the implications of these trends for the environment.

  18. Electricity Demand Evolution Driven by Storm Motivated Population Movement

    SciTech Connect (OSTI)

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

    2014-01-01

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

  19. Climate policy implications for agricultural water demand

    SciTech Connect (OSTI)

    Chaturvedi, Vaibhav; Hejazi, Mohamad I.; Edmonds, James A.; Clarke, Leon E.; Kyle, G. Page; Davies, Evan; Wise, Marshall A.; Calvin, Katherine V.

    2013-03-28

    Energy, water and land are scarce resources, critical to humans. Developments in each affect the availability and cost of the others, and consequently human prosperity. Measures to limit greenhouse gas concentrations will inevitably exact dramatic changes on energy and land systems and in turn alter the character, magnitude and geographic distribution of human claims on water resources. We employ the Global Change Assessment Model (GCAM), an integrated assessment model to explore the interactions of energy, land and water systems in the context of alternative policies to limit climate change to three alternative levels: 2.5 Wm-2 (445 ppm CO2-e), 3.5 Wm-2 (535 ppm CO2-e) and 4.5 Wm-2 (645 ppm CO2-e). We explore the effects of two alternative land-use emissions mitigation policy options—one which taxes terrestrial carbon emissions equally with fossil fuel and industrial emissions, and an alternative which only taxes fossil fuel and industrial emissions but places no penalty on land-use change emissions. We find that increasing populations and economic growth could be anticipated to almost triple demand for water for agricultural systems across the century even in the absence of climate policy. In general policies to mitigate climate change increase agricultural demands for water still further, though the largest changes occur in the second half of the century, under both policy regimes. The two policies examined profoundly affected both the sources and magnitudes of the increase in irrigation water demands. The largest increases in agricultural irrigation water demand occurred in scenarios where only fossil fuel emissions were priced (but not land-use change emission) and were primarily driven by rapid expansion in bioenergy production. In these scenarios water demands were large relative to present-day total available water, calling into question whether it would be physically possible to produce the associated biomass energy. We explored the potential of improved water delivery and irrigation system efficiencies. These could potentially reduce demands substantially. However, overall demands remained high under our fossil-fuel-only tax policy. In contrast, when all carbon was priced, increases in agricultural water demands were smaller than under the fossil-fuel-only policy and were driven primarily by increased demands for water by non-biomass crops such as rice. Finally we estimate the geospatial pattern of water demands and find that regions such as China, India and other countries in south and east Asia might be expected to experience greatest increases in water demands. 

  20. Dr A Refik Kortan | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    A Refik Kortan Materials Sciences and Engineering (MSE) Division MSE Home About Staff What's New Research Areas Reports and Activities Science Highlights Principal Investigators' Meetings BES Home Staff Dr. A Refik Kortan Print Text Size: A A A FeedbackShare Page Dr. Refik Kortan Program Manager Physical Behavior of Materials Materials Sciences and Engineering Division Office of Basic Energy Sciences SC-22.2/Germantown Building, Rm F-411 U.S. Department of Energy 1000 Independence Avenue, SW

  1. Dr Altaf (Tof) Carim | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Altaf (Tof) Carim Scientific User Facilities (SUF) Division SUF Home About Staff Dr. James B. Murphy What's New User Facilities Projects Accelerator & Detector Research Science Highlights Principal Investigators' Meetings BES Home Staff Dr. Altaf (Tof) Carim Print Text Size: A A A FeedbackShare Page Carim Program Manager Nanoscale Science Research Centers Office of Basic Energy Sciences SC-22.3/Germantown Building U.S. Department of Energy 1000 Independence Avenue, SW Washington, D.C.

  2. Dr Gregory J Fiechtner | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Gregory J Fiechtner Chemical Sciences, Geosciences, & Biosciences (CSGB) Division CSGB Home About Staff What's New Research Areas Reports and Activities Science Highlights Principal Investigators' Meetings BES Home Staff Dr. Gregory J Fiechtner Print Text Size: A A A FeedbackShare Page Dr. Gregory J. Fiechtner Program Manager Condensed Phase and Interfacial Molecular Science (CPIMS) Office of Basic Energy Sciences SC-22.1/Germantown Building U.S. Department of Energy 1000 Independence

  3. Dr James S Horwitz | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    S Horwitz Materials Sciences and Engineering (MSE) Division MSE Home About Staff What's New Research Areas Reports and Activities Science Highlights Principal Investigators' Meetings BES Home Staff Dr. James S Horwitz Print Text Size: A A A FeedbackShare Page Dr. James S. Horwitz Team Lead Condensed Matter and Materials Physics Materials Sciences and Engineering Division Office of Basic Energy Sciences SC-22.2/Germantown Building, Rm F-411 U.S. Department of Energy 1000 Independence Avenue, SW

  4. Dr James W Davenport | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    W Davenport Materials Sciences and Engineering (MSE) Division MSE Home About Staff What's New Research Areas Reports and Activities Science Highlights Principal Investigators' Meetings BES Home Staff Dr. James W Davenport Print Text Size: A A A FeedbackShare Page Dr. James W. Davenport Program Manager Theoretical Condensed Matter Physics Materials Sciences and Engineering Division Office of Basic Energy Sciences SC-22.2/Germantown Building, Rm F-430 U.S. Department of Energy 1000 Independence

  5. Dr Larry A Rahn | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Dr Larry A Rahn Chemical Sciences, Geosciences, & Biosciences (CSGB) Division CSGB Home About Staff What's New Research Areas Reports and Activities Science Highlights Principal Investigators' Meetings BES Home Staff Dr Larry A Rahn Print Text Size: A A A FeedbackShare Page Program Manager Separations and Analysis Program Office of Basic Energy Sciences SC-22.1/Germantown Building U.S. Department of Energy 1000 Independence Avenue, SW Washington, D.C. 20585-1290 E-Mail:

  6. Dr Mark R Pederson | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    R Pederson Chemical Sciences, Geosciences, & Biosciences (CSGB) Division CSGB Home About Staff What's New Research Areas Reports and Activities Science Highlights Principal Investigators' Meetings BES Home Staff Dr. Mark R Pederson Print Text Size: A A A FeedbackShare Page Dr. Mark R. Pederson Program Manager Computational and Theoretical Chemistry Office of Basic Energy Sciences SC-22.1/Germantown Building U.S. Department of Energy 1000 Independence Avenue, SW Washington, D.C. 20585-1290

  7. Dr Robert J Stack | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Robert J Stack Chemical Sciences, Geosciences, & Biosciences (CSGB) Division CSGB Home About Staff What's New Research Areas Reports and Activities Science Highlights Principal Investigators' Meetings BES Home Staff Dr. Robert J Stack Print Text Size: A A A FeedbackShare Page Dr. Robert J. Stack Program Manager Physical Biosciences Office of Basic Energy Sciences SC-22.1/Germantown Building U.S. Department of Energy 1000 Independence Avenue, SW Washington, D.C. 20585-1290

  8. Dr Wade Sisk | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Wade Sisk Chemical Sciences, Geosciences, & Biosciences (CSGB) Division CSGB Home About Staff What's New Research Areas Reports and Activities Science Highlights Principal Investigators' Meetings BES Home Staff Dr. Wade Sisk Print Text Size: A A A FeedbackShare Page Dr. Wade Sisk Program Manager Gas-Phase Chemical Physics Office of Basic Energy Sciences SC-22.1/Germantown Building U.S. Department of Energy 1000 Independence Avenue, SW Washington, D.C. 20585-1290

  9. Dr. Viviane Schwartz | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Viviane Schwartz Chemical Sciences, Geosciences, & Biosciences (CSGB) Division CSGB Home About Staff What's New Research Areas Reports and Activities Science Highlights Principal Investigators' Meetings BES Home Staff Dr. Viviane Schwartz Print Text Size: A A A FeedbackShare Page Dr. Vivian Schwartz Program Manager Catalysis Science Program Office of Basic Energy Sciences SC-22.1/Germantown Building U.S. Department of Energy 1000 Independence Avenue, SW Washington, D.C. 20585-1290

  10. Concluding Remarks by Dr. Walt Warnick | OSTI, US Dept of Energy, Office of

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

    Scientific and Technical Information Concluding Remarks by Dr. Walt Warnick Walter L. Warnick Director, Office of Scientific and Technical Information U. S. Department of Energy OSTI 60th Anniversary Oak Ridge, TN September 18, 2007 Thank you, Dr. Garfield. We look forward to hearing more during your lecture tonight at 7 at the American Museum of Science and Energy. As Jeff Salmon explained, Franklin Roosevelt and Vannevar Bush defined a new relationship between government and science. The

  11. DOE Physicists at Work - Dr. Peter Beiersdorfer | OSTI, US Dept of Energy,

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

    Office of Scientific and Technical Information Physicists at Work - Dr. Peter Beiersdorfer DOE Physicists at Work Archive DOE Office of Science celebrates 2005 World Year of Physics DOE Physicists at Work Profiles of representative DOE-sponsored physicists doing research at universities and national laboratories Compiled by the Office of Scientific and Technical Information Dr. Peter Beiersdorfer It was just a simple iron wire, strung across the ceiling, that when heated by a current

  12. Dr. Elizabeth Sherwood-Randall, a Top White House National Security Council

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

    Official, Confirmed as Deputy Secretary of Department of Energy | Department of Energy Elizabeth Sherwood-Randall, a Top White House National Security Council Official, Confirmed as Deputy Secretary of Department of Energy Dr. Elizabeth Sherwood-Randall, a Top White House National Security Council Official, Confirmed as Deputy Secretary of Department of Energy September 18, 2014 - 6:54pm Addthis NEWS MEDIA CONTACT (202) 586-4940 Dr. Elizabeth Sherwood-Randall was confirmed by the Senate on

  13. Dr. Piotr Zelenay - Speaker Bio for the Fuel Cell Technologies Program Webinar

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

    Piotr Zelenay's Professional Bio Dr. Zelenay's expertise is in polymer electrolyte fuel cells, electrocatalysis, surface electrochemistry, electrode kinetics and organic electrosynthesis. Dr. Zelenay has been associated with Materials Physics and Applications Division at Los Alamos National Laboratory for the last 13 years. He is currently a project/team leader, focusing primarily on fundamental and applied aspects of polymer electrolyte fuel cell science and technology, electrocatalysis, and

  14. CERTIFIED MAIL RETURN RECEIPT REQUESTED Dr. Chi-Chang Kao Laboratory Director

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

    , 2014 CERTIFIED MAIL RETURN RECEIPT REQUESTED Dr. Chi-Chang Kao Laboratory Director SLAC National Accelerator Laboratory Stanford University 2575 Sand Hill Road Menlo Park, California 94025-7015 WEA-2014-05 Dear Dr. Kao: This letter refers to the Department of Energy's (DOE) investigation into the facts and circumstances associated with the implementation of worker safety and health program requirements related to laser and electron beam equipment at SLAC National Accelerator Laboratory (SLAC)

  15. Dr. Paul Merges Director, Bureau of Radiation New York State Department of Environmental

    Office of Legacy Management (LM)

    551 - g 7 s % @ { i::- g i- ' \?*r&.,' *~ -,_ .- ..- Dr. Paul Merges Director, Bureau of Radiation New York State Department of Environmental Conservation 50 Wolfe Road Albany, NY 12233-7255 Dear Dr. Merges: ..- .- I.- _- .- Department of Energy Osk Ridge Opermlonm P.O. 80x 2001 Oak Ridge. Tmnessee 37831- 8723 September 24. 1990 DESIGNATION OF THE FORNER RAKER AND YILLIANS WAREHOUSES INTO DOE'S FORRERLY UTILIZED SITES REMEDIAL ACTION PROGRAM The purpose of this letter is to inform you that

  16. Dr. L. R. Solon, Director Bureau of Radiation Control New York City Department

    Office of Legacy Management (LM)

    SEP 2 9 1987 Dr. L. R. Solon, Director Bureau of Radiation Control New York City Department of Health 111 Livingston Street New York, New York 11201 Dear Dr. Solon: As was noted in a telephone discussion between you and Mr. Andrew Wallo of my staff, the Department's records investigations conducted as part of the Formerly Utilized Sites Remedial Action Program have identified a site within your jurisdiction that is potentially contaminated with residual radioactive material. The company,

  17. 10 Questions for a Nuclear Physicist: Dr. Njema Frazier | Department of

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

    Energy Nuclear Physicist: Dr. Njema Frazier 10 Questions for a Nuclear Physicist: Dr. Njema Frazier March 8, 2013 - 2:41pm Addthis Photo courtesy of the National Nuclear Security Administration. Photo courtesy of the National Nuclear Security Administration. Erin R. Pierce Erin R. Pierce Former Digital Communications Specialist, Office of Public Affairs Where Can I Learn More? Find out more about the Energy Department's efforts to support scientific innovation by visiting our Physics page.

  18. Dr. Franklin (Lynn) M. Orr was sworn in as the Under Secretary

    Office of Environmental Management (EM)

    Franklin (Lynn) M. Orr was sworn in as the Under Secretary for Science and Energy on December 17, 2014. As the Under Secretary, Dr. Orr is the principal advisor to the Secretary and Deputy Secretary on clean energy technologies and science and energy research initiatives. Dr. Orr is the inaugural Under Secretary for the office, which was created by Secretary of Energy Ernest Moniz to closely integrate DOE's basic science, applied research, technology development, and deployment efforts. As Under

  19. Dr. Kathleen Hogan to Host Live Chat on Industrial Energy Efficiency |

    Office of Environmental Management (EM)

    Department of Energy Kathleen Hogan to Host Live Chat on Industrial Energy Efficiency Dr. Kathleen Hogan to Host Live Chat on Industrial Energy Efficiency November 16, 2011 - 9:40am Addthis WASHINGTON, D.C. - Kathleen Hogan, Assistant Deputy Secretary for Energy Efficiency, will host the Department of Energy's fourth "Energy Matters" live chat today. Dr. Hogan will discuss how the cost savings associated with industrial energy efficiency measures affect American companies and their

  20. Dr. Peter B. Littlewood, President UChicago Argonne, LLC Argonne National Laboratory

    Office of Environmental Management (EM)

    January 20, 2016 Dr. Peter B. Littlewood, President UChicago Argonne, LLC Argonne National Laboratory 9700 S. Cass Avenue Lemont, Illinois 60439 Dear Dr. Littlewood: This letter serves as notification of the Office of Enterprise Assessments' Office of Enforcement decision to conduct an investigation into the facts and circumstances associated with potential deficiencies in UChicago Argonne, LLC's implementation of the Department of Energy's (DOE) 10 C.F.R. Part 851 machine guarding program

  1. Geographically Based Hydrogen Demand and Infrastructure Analysis |

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

    Department of Energy Analysis Geographically Based Hydrogen Demand and Infrastructure Analysis Presentation by NREL's Margo Melendez at the 2010 - 2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and Infrastructure Meeting on August 9 - 10, 2006 in Washington, D.C. PDF icon melendez_geo_h2_demand.pdf More Documents & Publications 2010 - 2025 Scenario Analysis Meeting Agenda for August 9 - 10, 2006 Agenda for the 2010-2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and

  2. BPA-2014-01685-FOIA Response

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

    no responsive records (the winning proposal). There has been no contract awarded for the Demand Response Program Demonstration Project RFP dated May 23,2014. This notification...

  3. BPA-2014-01901-FOIA Response

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

    2014, and the agreement between Bonneville Power Administration and Energy Northwest for Demand Response Pilot announced in September 2014." Response We conducted a search ofthe...

  4. Ethanol Demand in United States Gasoline Production

    SciTech Connect (OSTI)

    Hadder, G.R.

    1998-11-24

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

  5. Field Experience with and Potential for Multi-time Scale Grid Transactions from Responsive Commercial Buildings

    SciTech Connect (OSTI)

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

    2014-08-01

    The need for and concepts behind demand response are evolving. As the electric system changes with more intermittent renewable electric supply systems, there is a need to allow buildings to provide more flexible demand. This paper presents results from field studies and pilots, as well as engineering estimates of the potential capabilities of fast load responsiveness in commercial buildings. We present a sector wide analysis of flexible loads in commercial buildings, which was conducted to improve resource planning and determine which loads to evaluate in future demonstrations. These systems provide important capabilities for future transactional systems. The field analysis is based on results from California, plus projects in the northwest and east coast. End-uses considered include heating, ventilation, air conditioning and lighting. The timescales of control include day-ahead, as well as day-of, 10-minute ahead and even faster response. This technology can provide DR signals on different times scales to interact with responsive building loads. We describe the latency of the control systems in the building and the round trip communications with the wholesale grid operators.

  6. Issues in International Energy Consumption Analysis: Chinese Transportation Fuel Demand

    Reports and Publications (EIA)

    2014-01-01

    Since the 1990s, China has experienced tremendous growth in its transportation sector. By the end of 2010, China's road infrastructure had emerged as the second-largest transportation system in the world after the United States. Passenger vehicle sales are dramatically increasing from a little more than half a million in 2000, to 3.7 million in 2005, to 13.8 million in 2010. This represents a twenty-fold increase from 2000 to 2010. The unprecedented motorization development in China led to a significant increase in oil demand, which requires China to import progressively more petroleum from other countries, with its share of petroleum imports exceeding 50% of total petroleum demand since 2009. In response to growing oil import dependency, the Chinese government is adopting a broad range of policies, including promotion of fuel-efficient vehicles, fuel conservation, increasing investments in oil resources around the world, and many others.

  7. High Temperature Superconductors: From Delivery to Applications (Presentation from 2011 Ernest Orlando Lawrence Award-winner, Dr. Amit Goyal, and including introduction by Energy Secretary, Dr. Steven Chu)

    ScienceCinema (OSTI)

    Goyal, Amit (Oak Ridge National Laboratory)

    2012-06-28

    Dr. Amit Goyal, a high temperature superconductivity (HTS) researcher at Oak Ridge National Laboratory, was named a 2011 winner of the Department of Energy's Ernest Orlando Lawrence Award honoring U.S. scientists and engineers for exceptional contributions in research and development supporting DOE and its mission. Winner of the award in the inaugural category of Energy Science and Innovation, Dr. Goyal was cited for his work in 'pioneering research and transformative contributions to the field of applied high temperature superconductivity, including fundamental materials science advances and technical innovations enabling large-scale applications of these novel materials.' Following his basic research in grain-to-grain supercurrent transport, Dr. Goyal focused his energy in transitioning this fundamental understanding into cutting-edge technologies. Under OE sponsorship, Dr. Goyal co-invented the Rolling Assisted Bi-Axially Textured Substrate technology (RABiTS) that is used as a substrate for second generation HTS wires. OE support also led to the invention of Structural Single Crystal Faceted Fiber Substrate (SSIFFS) and the 3-D Self Assembly of Nanodot Columns. These inventions and associated R&D resulted in 7 R&D 100 Awards including the 2010 R&D Magazine's Innovator of the Year Award, 3 Federal Laboratory Consortium Excellence in Technology Transfer National Awards, a DOE Energy100 Award and many others. As a world authority on HTS materials, Dr. Goyal has presented OE-sponsored results in more than 150 invited talks, co-authored more than 350 papers and is a fellow of 7 professional societies.

  8. Making the most of Responsive Electricity Customer. Energy Efficiency...

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

    Making the most of Responsive Electricity Customer. Energy Efficiency and Demand Response: How do we make the most out of using less energy? Making the most of Responsive ...

  9. U.S.-India Collaboration Expands Indian Market for U.S. Technologies...

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

    Demand-side management technologies can improve electricity reliability by managing how electricity consumers interact with the grid. Demand Response (DR), which is widely used in ...

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

    SciTech Connect (OSTI)

    Aden, Nathaniel; Fridley, David; Zheng, Nina

    2009-07-01

    This study analyzes China's coal industry by focusing on four related areas. First, data are reviewed to identify the major drivers of historical and future coal demand. Second, resource constraints and transport bottlenecks are analyzed to evaluate demand and growth scenarios. The third area assesses the physical requirements of substituting coal demand growth with other primary energy forms. Finally, the study examines the carbon- and environmental implications of China's past and future coal consumption. There are three sections that address these areas by identifying particular characteristics of China's coal industry, quantifying factors driving demand, and analyzing supply scenarios: (1) reviews the range of Chinese and international estimates of remaining coal reserves and resources as well as key characteristics of China's coal industry including historical production, resource requirements, and prices; (2) quantifies the largest drivers of coal usage to produce a bottom-up reference projection of 2025 coal demand; and (3) analyzes coal supply constraints, substitution options, and environmental externalities. Finally, the last section presents conclusions on the role of coal in China's ongoing energy and economic development. China has been, is, and will continue to be a coal-powered economy. In 2007 Chinese coal production contained more energy than total Middle Eastern oil production. The rapid growth of coal demand after 2001 created supply strains and bottlenecks that raise questions about sustainability. Urbanization, heavy industrial growth, and increasing per-capita income are the primary interrelated drivers of rising coal usage. In 2007, the power sector, iron and steel, and cement production accounted for 66% of coal consumption. Power generation is becoming more efficient, but even extensive roll-out of the highest efficiency units would save only 14% of projected 2025 coal demand for the power sector. A new wedge of future coal consumption is likely to come from the burgeoning coal-liquefaction and chemicals industries. If coal to chemicals capacity reaches 70 million tonnes and coal-to-liquids capacity reaches 60 million tonnes, coal feedstock requirements would add an additional 450 million tonnes by 2025. Even with more efficient growth among these drivers, China's annual coal demand is expected to reach 3.9 to 4.3 billion tonnes by 2025. Central government support for nuclear and renewable energy has not reversed China's growing dependence on coal for primary energy. Substitution is a matter of scale: offsetting one year of recent coal demand growth of 200 million tonnes would require 107 billion cubic meters of natural gas (compared to 2007 growth of 13 BCM), 48 GW of nuclear (compared to 2007 growth of 2 GW), or 86 GW of hydropower capacity (compared to 2007 growth of 16 GW). Ongoing dependence on coal reduces China's ability to mitigate carbon dioxide emissions growth. If coal demand remains on a high growth path, carbon dioxide emissions from coal combustion alone would exceed total US energy-related carbon emissions by 2010. Within China's coal-dominated energy system, domestic transportation has emerged as the largest bottleneck for coal industry growth and is likely to remain a constraint to further expansion. China has a low proportion of high-quality reserves, but is producing its best coal first. Declining quality will further strain production and transport capacity. Furthermore, transporting coal to users has overloaded the train system and dramatically increased truck use, raising transportation oil demand. Growing international imports have helped to offset domestic transport bottlenecks. In the long term, import demand is likely to exceed 200 million tonnes by 2025, significantly impacting regional markets.

  11. International Oil Supplies and Demands. Volume 2

    SciTech Connect (OSTI)

    Not Available

    1992-04-01

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

  12. Utility Sector Impacts of Reduced Electricity Demand

    SciTech Connect (OSTI)

    Coughlin, Katie

    2014-12-01

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

  13. DEMAND CONTROLLED VENTILATION AND CLASSROOM VENTILATION

    SciTech Connect (OSTI)

    Fisk, William J.; Mendell, Mark J.; Davies, Molly; Eliseeva, Ekaterina; Faulkner, David; Hong, Tienzen; Sullivan, Douglas P.

    2014-01-06

    This document summarizes a research effort on demand controlled ventilation and classroom ventilation. The research on demand controlled ventilation included field studies and building energy modeling. Major findings included: ? The single-location carbon dioxide sensors widely used for demand controlled ventilation frequently have large errors and will fail to effectively control ventilation rates (VRs).? Multi-location carbon dioxide measurement systems with more expensive sensors connected to multi-location sampling systems may measure carbon dioxide more accurately.? Currently-available optical people counting systems work well much of the time but have large counting errors in some situations. ? In meeting rooms, measurements of carbon dioxide at return-air grilles appear to be a better choice than wall-mounted sensors.? In California, demand controlled ventilation in general office spaces is projected to save significant energy and be cost effective only if typical VRs without demand controlled ventilation are very high relative to VRs in codes. Based on the research, several recommendations were developed for demand controlled ventilation specifications in the California Title 24 Building Energy Efficiency Standards.The research on classroom ventilation collected data over two years on California elementary school classrooms to investigate associations between VRs and student illness absence (IA). Major findings included: ? Median classroom VRs in all studied climate zones were below the California guideline, and 40percent lower in portable than permanent buildings.? Overall, one additional L/s per person of VR was associated with 1.6percent less IA. ? Increasing average VRs in California K-12 classrooms from the current average to the required level is estimated to decrease IA by 3.4percent, increasing State attendance-based funding to school districts by $33M, with $6.2 M in increased energy costs. Further VR increases would provide additional benefits.? Confirming these findings in intervention studies is recommended. ? Energy costs of heating/cooling unoccupied classrooms statewide are modest, but a large portion occurs in relatively few classrooms.

  14. Diagnostics on Demand | GE Global Research

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

    The "Diagnostics on Demand" Infectious Disease Test Kit Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) The "Diagnostics on Demand" Infectious Disease Test Kit GE's lead researcher, David Moore, shows how this paper-based instrument, the size of a deck of playing cards, enables field-based testing

  15. Chinese Oil Demand: Steep Incline Ahead

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

    Chinese Oil Demand: Steep Incline Ahead Malcolm Shealy Alacritas, Inc. April 7, 2008 Oil Demand: China, India, Japan, South Korea 0 2 4 6 8 1995 2000 2005 2010 Million Barrels/Day China South Korea Japan India IEA China Oil Forecast 0 2 4 6 8 10 12 14 16 18 2000 2005 2010 2015 2020 2025 2030 Million Barrels/Day WEO 2007 16.3 mbd 12.7 mbd IEA China Oil Forecasts 0 2 4 6 8 10 12 14 16 18 2000 2005 2010 2015 2020 2025 2030 Million Barrels/Day WEO 2007 WEO 2006 WEO 2004 WEO 2002 Vehicle Sales in

  16. LPG export growth will exceed demand by 2000

    SciTech Connect (OSTI)

    True, W.R.

    1994-08-08

    LPG supplies for international trade will increase sharply through 2000 and begin to outstrip demand by 1997 or 1998. This outlook depends on several production projects proceeding as planned. Leading the way to increased volumes are projects in Algeria, Nigeria, and Australia, among others. Purvin and Gertz, Dallas, projected this trend earlier this year at an international LPG seminar near Houston. Representatives from LPG-supplying countries also presented information to support this view and subsequently supplied more specifics to OGJ in response to questions. This paper discusses this information. Trends in Africa, Australia, North America, and South America are forecast.

  17. Climate, extreme heat, and electricity demand in California

    SciTech Connect (OSTI)

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

    2008-04-01

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

  18. Washington: Sustainability Training for Realtors in High Demand...

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

    Sustainability Training for Realtors in High Demand Washington: Sustainability Training for Realtors in High Demand March 6, 2014 - 5:50pm Addthis Demand has been high for a free ...

  19. Energy Demand (released in AEO2010)

    Reports and Publications (EIA)

    2010-01-01

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

  20. Reducing Energy Demand in Buildings Through State Energy Codes...

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

    Reducing Energy Demand in Buildings Through State Energy Codes Reducing Energy Demand in ... More Documents & Publications Technology Performance Exchange - 2013 BTO Peer Review ...

  1. Structuring Rebate and Incentive Programs for Sustainable Demand...

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

    Structuring Rebate and Incentive Programs for Sustainable Demand Structuring Rebate and Incentive Programs for Sustainable Demand Better Buildings Neighborhood Program Peer...

  2. Using Mobile Applications to Generate Customer Demand | Department...

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

    Using Mobile Applications to Generate Customer Demand Using Mobile Applications to Generate Customer Demand Better Buildings Residential Network Peer Exchange Call Series: Using...

  3. Estimating Costs and Efficiency of Storage, Demand, and Heat...

    Energy Savers [EERE]

    Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters A water heater's energy ...

  4. Natural Gas Infrastructure Implications of Increased Demand from...

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

    Natural Gas Infrastructure Implications of Increased Demand from the Electric Sector Natural Gas Infrastructure Implications of Increased Demand from the Electric Sector This...

  5. Strategies for Marketing and Driving Demand for Commercial Financing...

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

    Marketing and Driving Demand for Commercial Financing Products Strategies for Marketing and Driving Demand for Commercial Financing Products Better Buildings Neighborhood Program ...

  6. Can Automotive Battery Recycling Help Meet Lithium Demand? |...

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

    Can Automotive Battery Recycling Help Meet Lithium Demand? Title Can Automotive Battery Recycling Help Meet Lithium Demand? Publication Type Presentation Year of Publication 2013...

  7. Estimating Costs and Efficiency of Storage, Demand, and Heat...

    Office of Environmental Management (EM)

    Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters A water heater's...

  8. Analysis Procedures to Estimate Seismic Demands of Structures...

    Office of Environmental Management (EM)

    to Estimate Seismic Demands of Structures Presentation from the May 2015 Seismic Lessons-Learned Panel Meeting. PDF icon Analysis Procedures to Estimate Seismic Demands of...

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

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

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

  10. Using Partnerships to Drive Demand and Provide Services in Communities...

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

    Partnerships to Drive Demand and Provide Services in Communities Using Partnerships to Drive Demand and Provide Services in Communities Better Buildings Neighborhood Program...

  11. Geek-Up[12.23.2010]: Muons at the South Pole and Dr. Nick Holoynak |

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

    Department of Energy 23.2010]: Muons at the South Pole and Dr. Nick Holoynak Geek-Up[12.23.2010]: Muons at the South Pole and Dr. Nick Holoynak December 23, 2010 - 12:05pm Addthis Illustration of the IceCube neutrino observatory. Source: LBNL Illustration of the IceCube neutrino observatory. Source: LBNL Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs Earlier today, the Energy Blog featured Los Alamos National Lab's system to track Santa. However, while there is

  12. OSTIblog Posts by Dr. Walt Warnick | OSTI, US Dept of Energy, Office of

    Office of Scientific and Technical Information (OSTI)

    Scientific and Technical Information Dr. Walt Warnick Dr. Walt Warnick's picture Former Director, U.S. DOE Office of Scientific and Technical Information Before and after CrossRef Aquatint of a Doctor in divinity at the University of Oxford, shown wearing conv Published on Dec 19, 2013 It is truly wonderful when something comes along that speeds access to science. Such is the case with CrossRef's linking network for scholarly literature. Anyone that has ever done a literature search prior to

  13. A Tribute to Dr. S. Peter Rosen | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    A Tribute to Dr. S. Peter Rosen News News Home Featured Articles Science Headlines 2015 2014 2013 2016 2012 2011 2010 2009 2008 2007 2006 2005 Science Highlights Presentations & Testimony News Archives Communications and Public Affairs Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 10.16.06 A Tribute to Dr. S. Peter Rosen Print Text Size: A A A Subscribe FeedbackShare Page "I would urge you to adopt the

  14. Dr. Ernest Moniz Sworn in as 13th Secretary of Energy

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

    doe logo Dr. Ernest Moniz Sworn in as 13th Secretary of Energys WASHINGTON - Dr. Ernest Moniz was sworn in as the nation's 13th Secretary of Energy by Deputy Energy Secretary Daniel Poneman in a ceremony this morning for the Department's employees, kicking off a busy first day that includes briefings on energy and national security as well as remarks to the 2013 Energy Efficiency Global Forum. Moniz was confirmed by the full Senate in a vote of 97-0 on May 16. Following his swearing in,

  15. Dr. J. G. Hwang, President Advanced Technologies and Laboratories International, Inc.

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

    T Opt.U.S. Department of Energy 4P - P.O. Box 450, MSIN 1-6-60 Richland, Washington 99352 AP R 0 5 U I, , 1 0-ESQ-092 Dr. J. G. Hwang, President Advanced Technologies and Laboratories International, Inc. P.O. Box 250 Richland, Washington 99352 Dear Dr. Hwang: CONTRACT NO. DE-AC27-1I0RV 15051 - DE MINIMIS CHANGES TO THE HANFORD ANALYTICAL SERVICES QUALITY ASSURANCE REQUIREMENTS DOCUMENT (H-ASQARD) Compliance with the HASQARD, DOE/RL-96-68, is required by your Contract [Section J, Attachment 1].

  16. Dr. Majumdar Takes ARPA-E Clean Tech Talk to TEDxMidAtlantic Conference |

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

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

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