National Library of Energy BETA

Sample records for metered peak demand

  1. Assessment of Demand Response and Advanced Metering

    E-Print Network [OSTI]

    Tesfatsion, Leigh

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

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

    Office of Environmental Management (EM)

    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...

  3. Optimization of Demand Response Through Peak Shaving

    E-Print Network [OSTI]

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

  4. Optimization of Demand Response Through Peak Shaving

    E-Print Network [OSTI]

    2013-06-19

    Jun 19, 2013 ... efficient linear programming formulation for the demand response of such a consumer who could be a price taker, industrial or commercial user ...

  5. Optimization of Demand Response Through Peak Shaving , D. Craigie

    E-Print Network [OSTI]

    Todd, Michael J.

    Optimization of Demand Response Through Peak Shaving G. Zakeri , D. Craigie , A. Philpott , M. Todd for the demand response of such a consumer. We will establish a monotonicity result that indicates fuel supply

  6. Scalable Scheduling of Building Control Systems for Peak Demand Reduction

    E-Print Network [OSTI]

    Pappas, George J.

    price for their maximum demand to discourage their energy usage in peak load conditions. In buildings of Pennsylvania {nghiem, mbehl, rahulm, pappasg}@seas.upenn.edu Abstract-- In large energy systems, peak demand might cause severe issues such as service disruption and high cost of energy production and distribution

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

    E-Print Network [OSTI]

    Levy, Roger; Herter, Karen; Wilson, John

    2004-01-01

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

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

    E-Print Network [OSTI]

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

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

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

    E-Print Network [OSTI]

    Li, Xiang-Yang

    % of the nation's total electricity consumption. Unfortunately, due to inefficient energy consumption patternSmoothing the Energy Consumption: Peak Demand Reduction in Smart Grid Shaojie Tang , Qiuyuan Huang of Software, TNLIST, Tsinghua University Department of Electrical & Computer Engineering, University

  10. Deployment of Behind-The-Meter Energy Storage for Demand Charge Reduction

    SciTech Connect (OSTI)

    Neubauer, J.; Simpson, M.

    2015-01-01

    This study investigates how economically motivated customers will use energy storage for demand charge reduction, as well as how this changes in the presence of on-site photovoltaic power generation, to investigate the possible effects of incentivizing increased quantities of behind-the-meter storage. It finds that small, short-duration batteries are most cost effective regardless of solar power levels, serving to reduce short load spikes on the order of 2.5% of peak demand. While profitable to the customer, such action is unlikely to adequately benefit the utility as may be desired, thus highlighting the need for modified utility rate structures or properly structured incentives.

  11. Storing hydroelectricity to meet peak-hour demand

    SciTech Connect (OSTI)

    Valenti, M.

    1992-04-01

    This paper reports on pumped storage plants which have become an effective way for some utility companies that derive power from hydroelectric facilities to economically store baseload energy during off-peak hours for use during peak hourly demands. According to the Electric Power Research Institute (EPRI) in Palo Alto, Calif., 36 of these plants provide approximately 20 gigawatts, or about 3 percent of U.S. generating capacity. During peak-demand periods, utilities are often stretched beyond their capacity to provide power and must therefore purchase it from neighboring utilities. Building new baseload power plants, typically nuclear or coal-fired facilities that run 24 hours per day seven days a week, is expensive, about $1500 per kilowatt, according to Robert Schainker, program manager for energy storage at the EPRI. Schainker the that building peaking plants at $400 per kilowatt, which run a few hours a day on gas or oil fuel, is less costly than building baseload plants. Operating them, however, is more expensive because peaking plants are less efficient that baseload plants.

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

    E-Print Network [OSTI]

    Koomey, Jonathan; Brown, Richard E.

    2002-01-01

    AND CONTROLLING PEAK ELECTRICITY DEMAND Jonathan Koomey* andData to Improve Electricity Demand Forecasts–Final Report.further research. Electricity demand varies constantly. At

  13. Insights from Smart Meters: The Potential for Peak-Hour Savings from Behavior-Based Programs

    SciTech Connect (OSTI)

    Todd, Annika; Perry, Michael; Smith, Brian; Sullivan, Michael; Cappers, Peter; Goldman, Charles

    2014-03-25

    The rollout of smart meters in the last several years has opened up new forms of previously unavailable energy data. Many utilities are now able in real-time to capture granular, household level interval usage data at very high-frequency levels for a large proportion of their residential and small commercial customer population. This can be linked to other time and locationspecific information, providing vast, constantly growing streams of rich data (sometimes referred to by the recently popular buzz word, “big data”). Within the energy industry there is increasing interest in tapping into the opportunities that these data can provide. What can we do with all of these data? The richness and granularity of these data enable many types of creative and cutting-edge analytics. Technically sophisticated and rigorous statistical techniques can be used to pull interesting insights out of this highfrequency, human-focused data. We at LBNL are calling this “behavior analytics”. This kind of analytics has the potential to provide tremendous value to a wide range of energy programs. For example, highly disaggregated and heterogeneous information about actual energy use would allow energy efficiency (EE) and/or demand response (DR) program implementers to target specific programs to specific households; would enable evaluation, measurement and verification (EM&V) of energy efficiency programs to be performed on a much shorter time horizon than was previously possible; and would provide better insights in to the energy and peak hour savings associated with specifics types of EE and DR programs (e.g., behavior-based (BB) programs). In this series, “Insights from Smart Meters”, we will present concrete, illustrative examples of the type of value that insights from behavior analytics of these data can provide (as well as pointing out its limitations). We will supply several types of key findings, including: • Novel results, which answer questions the industry previously was unable to answer; • Proof-of-concept analytics tools that can be adapted and used by others; and • Guidelines and protocols that summarize analytical best practices. This report focuses on one example of the kind of value that analysis of this data can provide: insights into whether behavior-based (BB) efficiency programs have the potential to provide peak-hour energy savings.

  14. Influence of Air Conditioner Operation on Electricity Use and Peak Demand 

    E-Print Network [OSTI]

    McGarity, A. E.; Feuermann, D.; Kempton, W.; Norford, L. K.

    1987-01-01

    Electricity demand due to occupant controlled room air conditioners in a large mater-metered apartment building is analyzed. Hourly data on the electric demand of the building and of individual air conditioners are used in analyses of annual...

  15. Thermal Energy Storage for Electricity Peak-demand Mitigation: A Solution in Developing and Developed World Alike

    E-Print Network [OSTI]

    DeForest, Nicholas

    2014-01-01

    driver of summer peak electricity demand. In the developingin reducing peak electricity demand. Additionally, annualwill drive total electricity demand significantly above

  16. THE ROLE OF BUILDING TECHNOLOGIES IN REDUCING AND CONTROLLING PEAK ELECTRICITY DEMAND

    E-Print Network [OSTI]

    LBNL-49947 THE ROLE OF BUILDING TECHNOLOGIES IN REDUCING AND CONTROLLING PEAK ELECTRICITY DEMAND? ..................................... 8 What are the seasonal aspects of electric peak demand?............................ 9 What because of the California electricity crisis (Borenstein 2001). Uncertainties surrounding the reliability

  17. Exploring Power-Voltage Relationship for Distributed Peak Demand Flattening in Microgrids

    E-Print Network [OSTI]

    Adali, Tulay

    Exploring Power-Voltage Relationship for Distributed Peak Demand Flattening in Microgrids Zhichuan energy storage units in microgrids, how to regulate peak demand is one of the main challenges. Thus, it is possible that peak demand of the microgrid would not be flattened but only shifted to another period

  18. Peak demand reduction from pre-cooling with zone temperature reset in an office building

    SciTech Connect (OSTI)

    Xu, Peng; Haves, Philip; Piette, Mary Ann; Braun, James

    2004-08-01

    The objective of this study was to demonstrate the potential for reducing peak-period electrical demand in moderate-weight commercial buildings by modifying the control of the HVAC system. An 80,000 ft{sup 2} office building with a medium-weight building structure and high window-to-wall ratio was used for a case study in which zone temperature set-points were adjusted prior to and during occupancy. HVAC performance data and zone temperatures were recorded using the building control system. Additional operative temperature sensors for selected zones and power meters for the chillers and the AHU fans were installed for the study. An energy performance baseline was constructed from data collected during normal operation. Two strategies for demand shifting using the building thermal mass were then programmed in the control system and implemented progressively over a period of one month. It was found that a simple demand limiting strategy performed well in this building. This strategy involved maintaining zone temperatures at the lower end of the comfort region during the occupied period up until 2 pm. Starting at 2 pm, the zone temperatures were allowed to float to the high end of the comfort region. With this strategy, the chiller power was reduced by 80-100% (1-2.3 W/ft{sup 2}) during normal peak hours from 2-5 pm, without causing any thermal comfort complaints. The effects on the demand from 2-5 pm of the inclusion of pre-cooling prior to occupancy are unclear.

  19. Peak Demand Reduction from Pre-Cooling with Zone Temperature Reset in an Office Building

    SciTech Connect (OSTI)

    Xu, Peng; Haves, Philip; Piette, Mary Ann; Braun, James

    2006-08-01

    The objective of this study was to demonstrate the potential for reducing peak-period electrical demand in moderate-weight commercial buildings by modifying the control of the HVAC system. An 80,000 ft{sup 2} office building with a medium-weight building structure and high window-to-wall ratio was used for a case study in which zone temperature set-points were adjusted prior to and during occupancy. HVAC performance data and zone temperatures were recorded using the building control system. Additional operative temperature sensors for selected zones and power meters for the chillers and the AHU fans were installed for the study. An energy performance baseline was constructed from data collected during normal operation. Two strategies for demand shifting using the building thermal mass were then programmed in the control system and implemented progressively over a period of one month. It was found that a simple demand limiting strategy performed well in this building. This strategy involved maintaining zone temperatures at the lower end of the comfort region during the occupied period up until 2 pm. Starting at 2 pm, the zone temperatures were allowed to float to the high end of the comfort region. With this strategy, the chiller power was reduced by 80-100% (1-2.3 W/ft{sup 2}) during normal peak hours from 2-5 pm, without causing any thermal comfort complaints. The effects on the demand from 2-5 pm of the inclusion of pre-cooling prior to occupancy are unclear.

  20. Data Center Demand Response: Avoiding the Coincident Peak via Workload Shifting and Local Generation

    E-Print Network [OSTI]

    Wierman, Adam

    Data Center Demand Response: Avoiding the Coincident Peak via Workload Shifting and Local facilities. In this extended abstract we briefly de- scribe recent work in [1] on two demand response schemes Keywords Demand response, coincident peak pricing, data center, work- load shifting, online algorithm 1

  1. Monitoring System Used to Identify, Track and Allocate Peak Demand Costs 

    E-Print Network [OSTI]

    Holmes, W. A.

    1998-01-01

    , it was clear that the percentage contribution by department or area to the plant's peak demand was not the same as that assigned based solely upon consumption. With a monthly peak exceeding 8 MW and peak demand charges accounting for more than 60...

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

    Office of Environmental Management (EM)

    in-home displays, programmable communicating thermostats, and access to a web portal (http:www.myOGEpower.com). The study measures demand reductions by customers during...

  3. A Fresh Look at Weather Impact on Peak Electricity Demand and

    E-Print Network [OSTI]

    LBNL-6280E A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data Road, Berkeley, CA 94720, USA 2 Green Energy and Environment Research Laboratories, Industrial

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

    E-Print Network [OSTI]

    Barth, A.

    2015-01-01

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

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

    SciTech Connect (OSTI)

    2009-07-15

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

  6. (2013) 128 Data Center Demand Response: Avoiding the Coincident Peak via

    E-Print Network [OSTI]

    Wierman, Adam

    2013-01-01

    (2013) 1­28 Data Center Demand Response: Avoiding the Coincident Peak via Workload Shifting.chen@hp.com Abstract Demand response is a crucial aspect of the future smart grid. It has the potential to provide centers' participation in demand response is becoming increasingly important given their high

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

    SciTech Connect (OSTI)

    Koomey, Jonathan; Brown, Richard E.

    2002-09-01

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

  8. Building America Top Innovations 2012: High-Performance with Solar Electric Reduced Peak Demand

    SciTech Connect (OSTI)

    none,

    2013-01-01

    This Building America Top Innovations profile describes Building America solar home research that has demonstrated the ability to reduce peak demand by 75%. Numerous field studies have monitored power production and system effectiveness.

  9. Electrical Energy Conservation and Peak Demand Reduction Potential for Buildings in Texas: Preliminary Results 

    E-Print Network [OSTI]

    Hunn, B. D.; Baughman, M. L.; Silver, S. C.; Rosenfeld, A. H.; Akbari, H.

    1985-01-01

    This paper presents preliminary results of a study of electrical energy conservation and peak demand reduction potential for the building sector in Texas. Starting from 1980 building stocks and energy use characteristics, technical conservation...

  10. How are flat demand charges based on the highest peak over the...

    Open Energy Info (EERE)

    How are flat demand charges based on the highest peak over the past 12 months designated in the database (LADWP does this) Home > Groups > Utility Rate Submitted by Marcroper on 11...

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

    E-Print Network [OSTI]

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

    1992-01-01

    of Residential Air Conditioner Charging and Sizing on Peak Electrical Demand Leon Neal North Carolina Alternate Energy Corporation Research Triangle Park, N.C. ABSTRACT Electric utilities have had a number of air conditioner rebate and maintenance... of the equipment), system sizing, and efficiency on the steady-state, coincident peak utility demand of a residential central air conditioning system. The study is based on the results of laboratory tests of a three-ton, capillary tube expansion, split...

  12. Insights from Smart Meters: The Potential for Peak-Hour Savings from Behavior-Based Programs

    E-Print Network [OSTI]

    Todd, Annika

    2014-01-01

    EE) and/or demand response (DR) program implementers toincentive-based demand response (DR) programs and time-based

  13. Thermal Energy Storage for Electricity Peak-demand Mitigation: A Solution in Developing and Developed World Alike

    E-Print Network [OSTI]

    DeForest, Nicholas

    2014-01-01

    Effect of Heat and Electricity Storage and Reliability onThermal Energy Storage for Electricity Peak- demandemployer. Thermal Energy Storage for Electricity Peak-demand

  14. (2013) 128 Data Center Demand Response: Avoiding the Coincident Peak via

    E-Print Network [OSTI]

    Low, Steven H.

    2013-01-01

    significant peak demand reduction and to ease the incorporation of renewable energy into the grid. Data has the potential to significantly ease the adoption of renewable energy into the grid. Data centers.chen@hp.com Abstract Demand response is a crucial aspect of the future smart grid. It has the potential to provide

  15. A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01

    reduction of peak electricity demand, and percentage savingsvariables and monthly electricity demand. Applied Energychanges of peak electricity demand. (a) large office, 90.1-

  16. 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.

  17. Duct Leakage Impacts on Airtightness, Infiltration, and Peak Electrical Demand in Florida Homes 

    E-Print Network [OSTI]

    Cummings, J. B.; Tooley, J. J.; Moyer, N.

    1990-01-01

    (ACHSO). When the duct registers were sealed, ACHSO decreased to 11.04, indicating that 12.2% of the house leaks were in the duct system. Duct leaks have a dramatic impact upon peak electrical demand. Based on theoretical analysis, a fifteen percent...

  18. Phase-Change Frame Walls (PCFWs) for Peak Demand Reduction, Load Shifting, Energy Conservation and Comfort 

    E-Print Network [OSTI]

    Medina, M.; Stewart, R.

    2008-01-01

    of the wall via the high latent heats of the PCMs. The main goal of this study was to determine the feasibility of using PCFWs for peak air conditioning demand reduction, thermal load shifting, energy conservation, and thermal comfort. The results showed...

  19. The Influence of Air-Conditioning Efficiency in the Peak Load Demand for Kuwait 

    E-Print Network [OSTI]

    Ali, A. A.; Maheshwari, G. P.

    2007-01-01

    A model co-relating the peak load demand of a utility with the allowable power rating (PR) of air-conditioning (AC) systems has been developed in this paper through a well defined methodology. The model is capable to predict the extent of allowable...

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

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

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

  1. Modeling of GE Appliances in GridLAB-D: Peak Demand Reduction

    SciTech Connect (OSTI)

    Fuller, Jason C.; Vyakaranam, Bharat GNVSR; Prakash Kumar, Nirupama; Leistritz, Sean M.; Parker, Graham B.

    2012-04-29

    The widespread adoption of demand response enabled appliances and thermostats can result in significant reduction to peak electrical demand and provide potential grid stabilization benefits. GE has developed a line of appliances that will have the capability of offering several levels of demand reduction actions based on information from the utility grid, often in the form of price. However due to a number of factors, including the number of demand response enabled appliances available at any given time, the reduction of diversity factor due to the synchronizing control signal, and the percentage of consumers who may override the utility signal, it can be difficult to predict the aggregate response of a large number of residences. The effects of these behaviors can be modeled and simulated in open-source software, GridLAB-D, including evaluation of appliance controls, improvement to current algorithms, and development of aggregate control methodologies. This report is the first in a series of three reports describing the potential of GE's demand response enabled appliances to provide benefits to the utility grid. The first report will describe the modeling methodology used to represent the GE appliances in the GridLAB-D simulation environment and the estimated potential for peak demand reduction at various deployment levels. The second and third reports will explore the potential of aggregated group actions to positively impact grid stability, including frequency and voltage regulation and spinning reserves, and the impacts on distribution feeder voltage regulation, including mitigation of fluctuations caused by high penetration of photovoltaic distributed generation and the effects on volt-var control schemes.

  2. Reducing Residential Peak Electricity Demand with Mechanical Pre-Cooling of Building Thermal Mass

    SciTech Connect (OSTI)

    Turner, Will; Walker, Iain; Roux, Jordan

    2014-08-01

    This study uses an advanced airflow, energy and humidity modelling tool to evaluate the potential for residential mechanical pre-cooling of building thermal mass to shift electricity loads away from the peak electricity demand period. The focus of this study is residential buildings with low thermal mass, such as timber-frame houses typical to the US. Simulations were performed for homes in 12 US DOE climate zones. The results show that the effectiveness of mechanical pre-cooling is highly dependent on climate zone and the selected pre-cooling strategy. The expected energy trade-off between cooling peak energy savings and increased off-peak energy use is also shown.

  3. Impacts of Climate Change on Energy Consumption and Peak Demand in Buildings: A Detailed Regional Approach

    SciTech Connect (OSTI)

    Dirks, James A.; Gorrissen, Willy J.; Hathaway, John E.; Skorski, Daniel C.; Scott, Michael J.; Pulsipher, Trenton C.; Huang, Maoyi; Liu, Ying; Rice, Jennie S.

    2015-01-01

    This paper presents the results of numerous commercial and residential building simulations, with the purpose of examining the impact of climate change on peak and annual building energy consumption over the portion of the Eastern Interconnection (EIC) located in the United States. The climate change scenario considered (IPCC A2 scenario as downscaled from the CASCaDE data set) has changes in mean climate characteristics as well as changes in the frequency and duration of intense weather events. This investigation examines building energy demand for three annual periods representative of climate trends in the CASCaDE data set at the beginning, middle, and end of the century--2004, 2052, and 2089. Simulations were performed using the Building ENergy Demand (BEND) model which is a detailed simulation platform built around EnergyPlus. BEND was developed in collaboration with the Platform for Regional Integrated Modeling and Analysis (PRIMA), a modeling framework designed to simulate the complex interactions among climate, energy, water, and land at decision-relevant spatial scales. Over 26,000 building configurations of different types, sizes, vintages, and, characteristics which represent the population of buildings within the EIC, are modeled across the 3 EIC time zones using the future climate from 100 locations within the target region, resulting in nearly 180,000 spatially relevant simulated demand profiles for each of the 3 years. In this study, the building stock characteristics are held constant based on the 2005 building stock in order to isolate and present results that highlight the impact of the climate signal on commercial and residential energy demand. Results of this analysis compare well with other analyses at their finest level of specificity. This approach, however, provides a heretofore unprecedented level of specificity across multiple spectrums including spatial, temporal, and building characteristics. This capability enables the ability to perform detailed hourly impact studies of building adaptation and mitigation strategies on energy use and electricity peak demand within the context of the entire grid and economy.

  4. AVTA: EVSE Charging Protocol for On and Off-Peak Demand

    Broader source: Energy.gov [DOE]

    The Vehicle Technologies Office's Advanced Vehicle Testing Activity carries out testing on a wide range of advanced vehicles and technologies on dynamometers, closed test tracks, and on-the-road. These results provide benchmark data that researchers can use to develop technology models and guide future research and development. The following report is a description of development of a charge protocol to take advantage of off and on-peak demand economics at facilities, as informed by the AVTA's testing on plug-in electric vehicle charging equipment. This research was conducted by Idaho National Laboratory.

  5. Testing of peak demand limiting using thermal mass at a small commercial building

    E-Print Network [OSTI]

    Lee, Kyoung-Ho; Braun, James E; Fredrickson, Steve; Konis, Kyle; Arens, Edward

    2007-01-01

    Submitted to the: Demand Response Research Center Preparedat Berkeley July 2007 Demand Response Research Center, Julywas coordinated by the Demand Response Research Center and

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

    E-Print Network [OSTI]

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

    1986-01-01

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

  7. Dynamic Control of Electricity Cost with Power Demand Smoothing and Peak Shaving for Distributed Internet Data Centers

    E-Print Network [OSTI]

    Rahman, A.K.M. Ashikur

    Dynamic Control of Electricity Cost with Power Demand Smoothing and Peak Shaving for Distributed a major part of their running costs. Modern electric power grid provides a feasible way to dynamically and efficiently manage the electricity cost of distributed IDCs based on the Locational Marginal Pricing (LMP

  8. SmartCap: Flattening Peak Electricity Demand in Smart Homes Sean Barker, Aditya Mishra, David Irwin, Prashant Shenoy, and Jeannie Albrecht

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    SmartCap: Flattening Peak Electricity Demand in Smart Homes Sean Barker, Aditya Mishra, David Irwin--Flattening household electricity demand reduces generation costs, since costs are disproportionately affected by peak demands. While the vast majority of household electrical loads are interactive and have little scheduling

  9. Testing of peak demand limiting using thermal mass at a small commercial building

    E-Print Network [OSTI]

    Lee, Kyoung-Ho; Braun, James E; Fredrickson, Steve; Konis, Kyle; Arens, Edward

    2007-01-01

    5 Air Conditioningresults showed a peak air conditioning power reduction ofuc/item/19p737k1 Air Conditioning Equipment The HVAC

  10. Impact of Reflective Roofing on Cooling Electrical Use and Peak Demand in a Florida Retail Mall 

    E-Print Network [OSTI]

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

    2002-01-01

    in California's climate (Akbari et al., 1991, 1992, 1997). In Florida, field research by the Florida Solar Energy Center (FSEC) since 1993 has quantified the impact of reflective roof coatings on sub-metered air conditioning (AC) consumption in tests in a dozen...

  11. Factors Influencing Water Heating Energy Use and Peak Demand in a Large Scale Residential Monitoring Study 

    E-Print Network [OSTI]

    Bouchelle, M. P.; Parker, D. S.; Anello, M. T.

    2000-01-01

    , as well as obtain improved appliance energy consumption indexes and load profiles. A portion of the monitoring measures water heater energy use and demand in each home on a 15-minute basis....

  12. Potential For Energy, Peak Demand, and Water Savings in California Tomato Processing Facilities 

    E-Print Network [OSTI]

    Trueblood, A. J.; Wu, Y. Y.; Ganji, A. R.

    2013-01-01

    Tomato processing is a major component of California's food industry. Tomato processing is extremely energy intensive, with the processing season coinciding with the local electrical utility peak period. Significant savings are possible...

  13. The development of a charge protocol to take advantage of off- and on-peak demand economics at facilities

    SciTech Connect (OSTI)

    Jeffrey Wishart

    2012-02-01

    This document reports the work performed under Task 1.2.1.1: 'The development of a charge protocol to take advantage of off- and on-peak demand economics at facilities'. The work involved in this task included understanding the experimental results of the other tasks of SOW-5799 in order to take advantage of the economics of electricity pricing differences between on- and off-peak hours and the demonstrated charging and facility energy demand profiles. To undertake this task and to demonstrate the feasibility of plug-in hybrid electric vehicle (PHEV) and electric vehicle (EV) bi-directional electricity exchange potential, BEA has subcontracted Electric Transportation Applications (now known as ECOtality North America and hereafter ECOtality NA) to use the data from the demand and energy study to focus on reducing the electrical power demand of the charging facility. The use of delayed charging as well as vehicle-to-grid (V2G) and vehicle-to-building (V2B) operations were to be considered.

  14. Thermal Energy Storage for Electricity Peak-demand Mitigation: A Solution in Developing and Developed World Alike

    SciTech Connect (OSTI)

    DeForest, Nicholas; Mendes, Goncalo; Stadler, Michael; Feng, Wei; Lai, Judy; Marnay, Chris

    2013-06-02

    In much of the developed world, air-conditioning in buildings is the dominant driver of summer peak electricity demand. In the developing world a steadily increasing utilization of air-conditioning places additional strain on already-congested grids. This common thread represents a large and growing threat to the reliable delivery of electricity around the world, requiring capital-intensive expansion of capacity and draining available investment resources. Thermal energy storage (TES), in the form of ice or chilled water, may be one of the few technologies currently capable of mitigating this problem cost effectively and at scale. The installation of TES capacity allows a building to meet its on-peak air conditioning load without interruption using electricity purchased off-peak and operating with improved thermodynamic efficiency. In this way, TES has the potential to fundamentally alter consumption dynamics and reduce impacts of air conditioning. This investigation presents a simulation study of a large office building in four distinct geographical contexts: Miami, Lisbon, Shanghai, and Mumbai. The optimization tool DER-CAM (Distributed Energy Resources Customer Adoption Model) is applied to optimally size TES systems for each location. Summer load profiles are investigated to assess the effectiveness and consistency in reducing peak electricity demand. Additionally, annual energy requirements are used to determine system cost feasibility, payback periods and customer savings under local utility tariffs.

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

    E-Print Network [OSTI]

    Remillard, J.

    2015-01-01

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

  16. Peak-Coincident Demand Savings from Behavior-Based Programs: Evidence from PPL Electric's Behavior and Education Program

    E-Print Network [OSTI]

    Stewart, James

    2013-01-01

    hours caused by residential demand for air conditioning. Airto those of other residential demand-response programs?11 Most residential demand response programs fall into one

  17. Peak-Coincident Demand Savings from Behavior-Based Programs: Evidence from PPL Electric's Behavior and Education Program

    E-Print Network [OSTI]

    Stewart, James

    2013-01-01

    peak loads such as air conditioning. 1 The total peak loadand evenings when air conditioning loads are high. All ofelectric heat and air conditioning; (3) a complete monthly

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

    E-Print Network [OSTI]

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

  19. Energy Theft in the Advanced Metering Infrastructure

    E-Print Network [OSTI]

    McDaniel, Patrick Drew

    energy management services such as fine grained pricing schemes, automatic meter reading, demand response

  20. Program Design Analysis using BEopt Building Energy Optimization Software: Defining a Technology Pathway Leading to New Homes with Zero Peak Cooling Demand; Preprint

    SciTech Connect (OSTI)

    Anderson, R.; Christensen, C.; Horowitz, S.

    2006-08-01

    An optimization method based on the evaluation of a broad range of different combinations of specific energy efficiency and renewable-energy options is used to determine the least-cost pathway to the development of new homes with zero peak cooling demand. The optimization approach conducts a sequential search of a large number of possible option combinations and uses the most cost-effective alternatives to generate a least-cost curve to achieve home-performance levels ranging from a Title 24-compliant home to a home that uses zero net source energy on an annual basis. By evaluating peak cooling load reductions on the least-cost curve, it is then possible to determine the most cost-effective combination of energy efficiency and renewable-energy options that both maximize annual energy savings and minimize peak-cooling demand.

  1. Green Scheduling of Control Systems for Peak Demand Reduction Truong X. Nghiem, Madhur Behl, Rahul Mangharam and George J. Pappas

    E-Print Network [OSTI]

    Pappas, George J.

    Mangharam and George J. Pappas Abstract-- Building systems such as heating, air quality control approach for fine-grained scheduling of control systems within an aggregate peak power envelop while this by combining: (a) minimization of the feasible peak power constraint of the systems; and (b) coordination

  2. A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data

    SciTech Connect (OSTI)

    Hong, Tianzhen; Chang, Wen-Kuei; Lin, Hung-Wen

    2013-05-01

    Buildings consume more than one third of the world?s total primary energy. Weather plays a unique and significant role as it directly affects the thermal loads and thus energy performance of buildings. The traditional simulated energy performance using Typical Meteorological Year (TMY) weather data represents the building performance for a typical year, but not necessarily the average or typical long-term performance as buildings with different energy systems and designs respond differently to weather changes. Furthermore, the single-year TMY simulations do not provide a range of results that capture yearly variations due to changing weather, which is important for building energy management, and for performing risk assessments of energy efficiency investments. This paper employs large-scale building simulation (a total of 3162 runs) to study the weather impact on peak electricity demand and energy use with the 30-year (1980 to 2009) Actual Meteorological Year (AMY) weather data for three types of office buildings at two design efficiency levels, across all 17 ASHRAE climate zones. The simulated results using the AMY data are compared to those from the TMY3 data to determine and analyze the differences. Besides further demonstration, as done by other studies, that actual weather has a significant impact on both the peak electricity demand and energy use of buildings, the main findings from the current study include: 1) annual weather variation has a greater impact on the peak electricity demand than it does on energy use in buildings; 2) the simulated energy use using the TMY3 weather data is not necessarily representative of the average energy use over a long period, and the TMY3 results can be significantly higher or lower than those from the AMY data; 3) the weather impact is greater for buildings in colder climates than warmer climates; 4) the weather impact on the medium-sized office building was the greatest, followed by the large office and then the small office; and 5) simulated energy savings and peak demand reduction by energy conservation measures using the TMY3 weather data can be significantly underestimated or overestimated. It is crucial to run multi-decade simulations with AMY weather data to fully assess the impact of weather on the long-term performance of buildings, and to evaluate the energy savings potential of energy conservation measures for new and existing buildings from a life cycle perspective.

  3. Net Energy Metering (NEM)

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

    facilities on the military installation does not exceed 50% of the highest daily peak demand for electricity at that military installation over the course of the preceding...

  4. A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01

    energy performance and demand response. Accurate estimationto assess accurately demand response strategies. 3.6 Weatherincluding HVAC design, demand response for smart grids, and

  5. Metering Process

    Broader source: Energy.gov [DOE]

    Developing and implementing a metering plan is highly dependent on the individual facility's needs, mission, metering equipment, and available infrastructure. One size does not fit all.

  6. Net Metering

    Broader source: Energy.gov [DOE]

    Note: Illinois is currently undergoing a rulemaking that would change its existing net metering rules. The proposed rules include provisions clarifying virtual net metering policies, facilitating...

  7. Net Metering

    Broader source: Energy.gov [DOE]

    Kansas adopted the Net Metering and Easy Connection Act in May 2009, which established net metering for customers of investor-owned utilities (IOUs). 

  8. Renewable energies such as solar photovoltaics "PV" have been widely used to minimize the use of grid power. Nevertheless, solar PV is hampered by the lack of solar radiation during peak energy demand hours

    E-Print Network [OSTI]

    Renewable energies such as solar photovoltaics "PV" have been widely used to minimize the use of grid power. Nevertheless, solar PV is hampered by the lack of solar radiation during peak energy demand curve and make the energy accessible during peak hours can be accomplished through pairing solar PV

  9. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

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

  10. Net Metering

    Broader source: Energy.gov [DOE]

    Missouri enacted legislation in June 2007 requiring all electric utilities—investor-owned utilities, municipal utilities, and electric cooperatives—to offer net metering to customers with systems...

  11. Net Metering

    Broader source: Energy.gov [DOE]

    The ACC requires that net metering charges be assessed on a non-discriminatory basis. Any new or additional charges that would increase an eligible customer-generator's costs beyond those of other...

  12. Net Metering

    Broader source: Energy.gov [DOE]

    Iowa's statutes do not explicitly authorize the Iowa Utilities Board (IUB) to mandate net metering, but this authority is implicit through the board's enforcement of PURPA and Iowa Code § 476.41 ...

  13. Net Metering

    Office of Energy Efficiency and Renewable Energy (EERE)

    With these regulations, renewable energy systems with a capacity up to 25 kilowatts (kW) are eligible for net metering. Overall enrollment is limited to 1.5% of a utility's retail sales from the...

  14. Net Metering

    Broader source: Energy.gov [DOE]

    Nevada's original net-metering law for renewable-energy systems was enacted in 1997 and amended in 2001, 2003, 2005, 2007, 2011, 2013, and 2015. Systems up to one megawatt (MW) in capacity that...

  15. Statewide Electrical Energy Cost Savings and Peak Demand Reduction from the IECC Code-Compliant, Single-Family Residences in Texas (2002-2009) 

    E-Print Network [OSTI]

    Kim, H; Baltazar, J.C.; Haberl, J.

    2011-01-01

    -02-01 STATEWIDE ELECTRICITY AND DEMAND CAPACITY SAVINGS FROM THE INTERNATIONAL ENERGY CONSERVATION CODE (IECC) ADOPTION FOR SINGLE-FAMILY RESIDENCES IN TEXAS (2002-2009) Hyojin Kim Juan-Carlos Baltazar, Ph.D. Jeff Haberl, Ph.D., P... SUMMARY Statewide electricity and electric demand savings achieved from the adoption of the different International Energy Conservation Code (IECC) versions for single-family residences in Texas and the corresponding construction cost increases over...

  16. Using Hydrated Salt Phase Change Materials for Residential Air Conditioning Peak Demand Reduction and Energy Conservation in Coastal and Transitional Climates in the State of California

    E-Print Network [OSTI]

    Lee, Kyoung Ok

    2013-05-31

    The recent rapid economic and population growth in the State of California have led to a significant increase in air conditioning use, especially in areas of the State with coastal and transitional climates. This fact makes that the electric peak...

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

    E-Print Network [OSTI]

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

    2008-01-01

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

  18. Saturation meter

    DOE Patents [OSTI]

    Gregurech, S.

    1984-08-01

    A saturation meter for use in a pressurized water reactor plant comprising a differential pressure transducer having a first and second pressure sensing means and an alarm. The alarm is connected to the transducer and is preset to activate at a level of saturation prior to the formation of a steam void in the reactor vessel.

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

    E-Print Network [OSTI]

    Benenson, P.

    2010-01-01

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

  20. Rates and technologies for mass-market demand response

    E-Print Network [OSTI]

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

    2002-01-01

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

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

    E-Print Network [OSTI]

    Cappers, Peter

    2009-01-01

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

  2. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01

    Operations Peak Load Management (Daily) - TOU Savings - Peakefficiency, daily load management and DR Energy Efficiency:methods Daily Peak Load Management: Advances in metering

  3. Automated Demand Response Strategies and Commissioning Commercial Building Controls

    E-Print Network [OSTI]

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

    2006-01-01

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

  4. ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9" ,"Released:3a. January Monthly Peak Hour

  5. Demand Dispatch-Intelligent

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

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

  6. Optimal Sizing of Energy Storage and Photovoltaic Power Systems for Demand Charge Mitigation (Poster)

    SciTech Connect (OSTI)

    Neubauer, J.; Simpson, M.

    2013-10-01

    Commercial facility utility bills are often a strong function of demand charges -- a fee proportional to peak power demand rather than total energy consumed. In some instances, demand charges can constitute more than 50% of a commercial customer's monthly electricity cost. While installation of behind-the-meter solar power generation decreases energy costs, its variability makes it likely to leave the peak load -- and thereby demand charges -- unaffected. This then makes demand charges an even larger fraction of remaining electricity costs. Adding controllable behind-the-meter energy storage can more predictably affect building peak demand, thus reducing electricity costs. Due to the high cost of energy storage technology, the size and operation of an energy storage system providing demand charge management (DCM) service must be optimized to yield a positive return on investment (ROI). The peak demand reduction achievable with an energy storage system depends heavily on a facility's load profile, so the optimal configuration will be specific to both the customer and the amount of installed solar power capacity. We explore the sensitivity of DCM value to the power and energy levels of installed solar power and energy storage systems. An optimal peak load reduction control algorithm for energy storage systems will be introduced and applied to historic solar power data and meter load data from multiple facilities for a broad range of energy storage system configurations. For each scenario, the peak load reduction and electricity cost savings will be computed. From this, we will identify a favorable energy storage system configuration that maximizes ROI.

  7. Demand Response: Load Management Programs 

    E-Print Network [OSTI]

    Simon, J.

    2012-01-01

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

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

    E-Print Network [OSTI]

    Page, Janie

    2012-01-01

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

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

    E-Print Network [OSTI]

    Peffer, Therese E.

    2009-01-01

    Advanced Metering and Demand Response in ElectricityChen, X. (2008). Demand Response-enabled Autonomous Controlfor Thermal Comfort, Demand Response, and Reduced Annual

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

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01

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

  11. Optimization Based Data Mining Approah for Forecasting Real-Time Energy Demand

    SciTech Connect (OSTI)

    Omitaomu, Olufemi A; Li, Xueping; Zhou, Shengchao

    2015-01-01

    The worldwide concern over environmental degradation, increasing pressure on electric utility companies to meet peak energy demand, and the requirement to avoid purchasing power from the real-time energy market are motivating the utility companies to explore new approaches for forecasting energy demand. Until now, most approaches for forecasting energy demand rely on monthly electrical consumption data. The emergence of smart meters data is changing the data space for electric utility companies, and creating opportunities for utility companies to collect and analyze energy consumption data at a much finer temporal resolution of at least 15-minutes interval. While the data granularity provided by smart meters is important, there are still other challenges in forecasting energy demand; these challenges include lack of information about appliances usage and occupants behavior. Consequently, in this paper, we develop an optimization based data mining approach for forecasting real-time energy demand using smart meters data. The objective of our approach is to develop a robust estimation of energy demand without access to these other building and behavior data. Specifically, the forecasting problem is formulated as a quadratic programming problem and solved using the so-called support vector machine (SVM) technique in an online setting. The parameters of the SVM technique are optimized using simulated annealing approach. The proposed approach is applied to hourly smart meters data for several residential customers over several days.

  12. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

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

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

    E-Print Network [OSTI]

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

    2008-01-01

    Figure 16 Annual peak electricity demand by sector. Tableincludes an hourly electricity demand (i.e. power) profileof aggregating sectoral electricity demands into a statewide

  14. Demand response enabling technology development

    E-Print Network [OSTI]

    2006-01-01

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

  15. Residential Customer Response to Real-time Pricing: The Anaheim Critical Peak Pricing Experiment

    E-Print Network [OSTI]

    Wolak, Frank A.

    2007-01-01

    load in California. Residential demand is approximately 30%12% reduction in statewide residential demand on a statewidefor residential customers with an aggregate peak demand that

  16. Propeller Flow Meter 

    E-Print Network [OSTI]

    Enciso, Juan; Santistevan, Dean; Hla, Aung K.

    2007-10-01

    Propeller flow meters are commonly used to measure water flow rate. They can also be used to estimate irrigation water use. This publication explains how to select, install, read and maintain propeller flow meters....

  17. LADWP- Net Metering

    Broader source: Energy.gov [DOE]

    LADWP allows its customers to net meter their photovoltaic (PV), wind, and hybrid systems with a capacity of not more than one megawatt. LADWP will provide the necessary metering equipment unless...

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

    E-Print Network [OSTI]

    Han, Junqiao; Piette, Mary Ann

    2008-01-01

    Research Director, PIER Demand Response Research CenterAssessment of Demand Response & Advanced Metering, staffPower Shortages: Demand Response and its Applications in Air

  19. Electrical Demand Management 

    E-Print Network [OSTI]

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

    1983-01-01

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

  20. 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.

  1. Metering Systems | Department of Energy

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

    Systems Metering Systems A variety of metering systems are currently on the market for Federal facility implementation. The information below outlines common metering system...

  2. 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.

  3. Guam- Net Metering

    Broader source: Energy.gov [DOE]

    Eligibility and Availability In 2004, Guam enacted legislation requiring the Guam Power Authority (GPA) to allow net metering for customers with fuel cells, microturbines, wind energy, biomass, ...

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

    E-Print Network [OSTI]

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

    2007-01-01

    3–6 percent of non-residential peak demand, can be viewed as3–6 percent of non-residential peak demand, can be viewed asto large, non-residential customers with peak demand greater

  5. Development Of 2-Meter Soil Temperature Probes And Results Of...

    Open Energy Info (EERE)

    Development Of 2-Meter Soil Temperature Probes And Results Of Temperature Survey Conducted At Desert Peak, Nevada, Usa Jump to: navigation, search OpenEI Reference LibraryAdd to...

  6. DC attenuation meter

    DOE Patents [OSTI]

    Hargrove, Douglas L.

    2004-09-14

    A portable, hand-held meter used to measure direct current (DC) attenuation in low impedance electrical signal cables and signal attenuators. A DC voltage is applied to the signal input of the cable and feedback to the control circuit through the signal cable and attenuators. The control circuit adjusts the applied voltage to the cable until the feedback voltage equals the reference voltage. The "units" of applied voltage required at the cable input is the system attenuation value of the cable and attenuators, which makes this meter unique. The meter may be used to calibrate data signal cables, attenuators, and cable-attenuator assemblies.

  7. Demand Reduction

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  8. Uncertainties in the Value of Bill Savings from Behind-the-Meter, Residential Photovoltaic Systems: The Roles of Electricity Market Conditions, Retail Rate Design, and Net Metering

    E-Print Network [OSTI]

    Darghouth, Naim Richard

    2013-01-01

    between average residential demand (net of behind-the-meterhours of highest residential demand, 12 noon to 12 midnight,prices during peak residential demand. This reduction in the

  9. Lesson Plan: Power Metering

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

    Power Metering Project Grades: 9-12 Topic: Energy Basics Owner: ACTS This educational material is brought to you by the U.S. Department of Energy's Office of Energy Efficiency and...

  10. Economics of Energy Metering 

    E-Print Network [OSTI]

    Duncan, J. D.

    1979-01-01

    become necessary to accurately measure energy usage (primarily fuel and steam) throughout the plant. There are currently several projects in the million dollar range to upgrade and add new metering to these flows. This paper will discuss the justification...

  11. Western Meter Policy

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

    for the Real-Time Data that is not connected to the same CT source as the primary meter. Relay quality CTs are acceptable for the ADS. The ADS shall be transmitted via a second...

  12. PSEG Long Island- Net Metering

    Broader source: Energy.gov [DOE]

    Although PSEG Long Island’s net metering policy is not governed by the State’s net metering law, the provisions are similar to the State law. Net metering is available for residential, non-reside...

  13. Washington City Power- Net Metering

    Broader source: Energy.gov [DOE]

    Washington City adopted a net-metering program, including interconnection procedures, in January 2008.* Net metering is available to residential and commercial customers that generate electricity...

  14. Preliminary Assumptions for Natural Gas Peaking

    E-Print Network [OSTI]

    plants and capital cost estimates for peaking technologies Frame, Aeroderivative, Intercooled, Reciprocating Engines Next steps 2 #12;Definitions Baseload Energy: power generated (or conserved) across a period of time to serve system demands for electricity Peaking Capacity: capability of power generating

  15. Neutron dose equivalent meter

    DOE Patents [OSTI]

    Olsher, Richard H. (Los Alamos, NM); Hsu, Hsiao-Hua (Los Alamos, NM); Casson, William H. (Los Alamos, NM); Vasilik, Dennis G. (Los Alamos, NM); Kleck, Jeffrey H. (Menlo Park, CA); Beverding, Anthony (Foster City, CA)

    1996-01-01

    A neutron dose equivalent detector for measuring neutron dose capable of accurately responding to neutron energies according to published fluence to dose curves. The neutron dose equivalent meter has an inner sphere of polyethylene, with a middle shell overlying the inner sphere, the middle shell comprising RTV.RTM. silicone (organosiloxane) loaded with boron. An outer shell overlies the middle shell and comprises polyethylene loaded with tungsten. The neutron dose equivalent meter defines a channel through the outer shell, the middle shell, and the inner sphere for accepting a neutron counter tube. The outer shell is loaded with tungsten to provide neutron generation, increasing the neutron dose equivalent meter's response sensitivity above 8 MeV.

  16. Energy Demands and Efficiency Strategies in Data Center Buildings

    E-Print Network [OSTI]

    Shehabi, Arman

    2010-01-01

    DX Cooling Total Annual Energy Usage Peak Electric DemandDX Cooling Total Annual Energy Usage Scenario Supply/ ReturnDX Cooling Total Annual Energy Usage Peak Electric Demand

  17. Elbow mass flow meter

    DOE Patents [OSTI]

    McFarland, Andrew R. (College Station, TX); Rodgers, John C. (Santa Fe, NM); Ortiz, Carlos A. (Bryan, TX); Nelson, David C. (Santa Fe, NM)

    1994-01-01

    Elbow mass flow meter. The present invention includes a combination of an elbow pressure drop generator and a shunt-type mass flow sensor for providing an output which gives the mass flow rate of a gas that is nearly independent of the density of the gas. For air, the output is also approximately independent of humidity.

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

    E-Print Network [OSTI]

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

    2006-01-01

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

  19. Summary of the 2006 Automated Demand Response Pilot 

    E-Print Network [OSTI]

    Piette, M.; Kiliccote, S.

    2007-01-01

    This paper discusses the specific concept for, design of, and results from a pilot program to automate demand response with critical peak pricing. California utilities have been exploring the use of critical peak pricing (CPP) to help reduce peak...

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

    E-Print Network [OSTI]

    Borenstein, Severin; Jaske, Michael; Rosenfeld, Arthur

    2002-01-01

    CAISO) California Power Exchange (CalPX) California Publicand SP15 California Power Exchange (CalPX) day-ahead zonaldesign, a California Power Exchange (CalPX) existed which

  1. 2010 Assessment of Demand Response and Advanced Metering - Staff Report |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p u t y A s s i s t a n tAttachment: Memo,Office |Department of

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

    E-Print Network [OSTI]

    Li, Baochun

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

  3. Portable wastewater flow meter

    DOE Patents [OSTI]

    Hunter, Robert M. (320 S. Wilson Ave., Bozeman, MT 59715)

    1999-02-02

    A portable wastewater flow meter particularly adapted for temporary use at a single location in measuring the rate of liquid flow in a circular entrance conduit of a sewer manhole both under free flow and submerged, open channel conditions and under fill pipe, surcharged conditions, comprising an apparatus having a cylindrical external surface and an inner surface that constricts the flow through the apparatus in such a manner that a relationship exists between (1) the difference between the static pressure head of liquid flowing through the entrance of the apparatus and the static pressure head of liquid flowing through the constriction, and (2) the rate of liquid flow through the apparatus.

  4. Portable wastewater flow meter

    DOE Patents [OSTI]

    Hunter, Robert M. (320 S. Wilson Ave., Bozeman, MT 59715)

    1990-01-01

    A portable wastewater flow meter particularly adapted for temporary use at a single location in measuring the rate of liquid flow in a circular entrance conduit of a sewer manhole both under free flow and submerged, open channel conditions and under full pipe, surcharged conditions, comprising an apparatus having a cylindrical external surface and an inner surface that constricts the flow through the apparatus in such a manner that a relationship exists between (1) the difference between the static pressure head of liquid flowing through the entrance of the apparatus and the static pressure head of liquid flowing through the constriction, and (2) the rate of liquid flow through the apparatus.

  5. APPLICATION-FORM DEMANDED'ADMISSION

    E-Print Network [OSTI]

    Opportunities and Challenges for Data Center Demand Response Adam Wierman Zhenhua Liu Iris Liu of renewable energy into the grid as well as electric power peak-load shaving: data center demand response. Data center demand response sits at the intersection of two growing fields: energy efficient data

  6. THE STATE OF DEMAND RESPONSE IN CALIFORNIA

    E-Print Network [OSTI]

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

  7. The 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)

  8. A Visualization Aid for Demand Response Studies in the Smart

    E-Print Network [OSTI]

    Maciejewski, Anthony A. "Tony"

    A Visualization Aid for Demand Response Studies in the Smart Grid With the influx of data in the emerging smart grid due to technologies such as smart meters and demand response programs, it is more for quantifying and comparing the effectiveness and profitability of a given set of solutions to a demand response

  9. An Integrated Architecture for Demand Response Communications and Control

    E-Print Network [OSTI]

    Gross, George

    An Integrated Architecture for Demand Response Communications and Control Michael LeMay, Rajesh for the MGA and ZigBee wireless communications. Index Terms Demand Response, Advanced Meter Infrastructure. In principle this can be done with demand response techniques in which electricity users take measures

  10. Electric Metering | Department of Energy

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

    The Forrestal electric meters provide daily read-outs and comparison of data on electricity consumption for overhead lighting and power outlets. The purpose is to measure...

  11. High-Performance with Solar Electric Reduced Peak Demand: Premier...

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

    Photo of homes in Premier Gardens. As the housing market continues to evolve toward zero net-energy ready homes, Building America research has provided essential guidance for...

  12. Microgrid Dispatch for Macrogrid Peak-Demand Mitigation

    E-Print Network [OSTI]

    DeForest, Nicholas

    2013-01-01

    Building Energy System Selection and Operation,” Microgen’II: Second International Confer-ence of Microgeneration and

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

    E-Print Network [OSTI]

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

  14. Microgrid Dispatch for Macrogrid Peak-Demand Mitigation

    E-Print Network [OSTI]

    DeForest, Nicholas

    2013-01-01

    electricity. The benefits of microgrids are however a two-customer-operated microgrids can potentially reduce theIf the utility expects microgrids like SRJ to engage in this

  15. Microgrid Dispatch for Macrogrid Peak-Demand Mitigation

    E-Print Network [OSTI]

    DeForest, Nicholas

    2013-01-01

    The installed battery has an energy capacity of 4 MWh and aof 6.5%. It is the energy capacity of the electric storage (and Lost Savings by Energy Capacity The technical parameters

  16. Microgrid Dispatch for Macrogrid Peak-Demand Mitigation

    E-Print Network [OSTI]

    DeForest, Nicholas

    2013-01-01

    generation fuel cell with heat recovery (2006) - 1 MW electricityfuel cell (c) is meant to provide 1 MW of base-load electricity generation,

  17. Microgrid Dispatch for Macrogrid Peak-Demand Mitigation

    E-Print Network [OSTI]

    DeForest, Nicholas

    2013-01-01

    Effect of Heat and Electricity Storage and Reliability onTable 2 August Electricity Bill by Storage Schedule ChargeSRJ electricity purchases (a) for the original no-storage

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy BillsNo. 195 - Oct. 7,DOERTI |Service ofConditioning Filter | Department

  19. Social Network of Smart-Metered Homes and SMEs for Grid-based Renewable Energy Exchange

    E-Print Network [OSTI]

    Steels, Luc

    Social Network of Smart-Metered Homes and SMEs for Grid-based Renewable Energy Exchange Ioana G-smart-meter; demand-response; social network; community; prosumer; renewable energy; energy efficiency I. INTRODUCTION are the renewable energy sources (completely) integrated in the picture. This creates an imbalance of financial

  20. Gerson Recinos Onramp Metering System

    E-Print Network [OSTI]

    Kachroo, Pushkin

    Gerson Recinos Onramp Metering System Using Arduino and Processing Overview­ For this project I built an Onramp Metering System using Arduino and Processing. The Microcontroller used was Arduino (based on Atmel168) and the programming languages were Processing and Wiring (derivative

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

    of preferred resources, placing energy efficiency and demandPromoting Energy Efficiency as a Cost-Effective Resource infor energy efficiency and demand response resources. Peak

  2. 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.

  3. Potential Peak Load Reductions From Residential Energy Efficient Upgrades 

    E-Print Network [OSTI]

    Meisegeier, D.; Howes, M.; King, D.; Hall, J.

    2002-01-01

    the potential peak load reductions from residential energy efficiency upgrades in hot and humid climates. First, a baseline scenario is established. Then, the demand and consumption impacts of individual upgrade measures are assessed. Several of these upgrades...

  4. An Innovative Approach Towards National Peak Load Management 

    E-Print Network [OSTI]

    Al-Mulla, A.; Maheshwari, G. P.; Al-Nakib, D.; ElSherbini, A.; Alghimlas, F.; Al-Taqi, H.; Al-Hadban, Y.

    2008-01-01

    An innovative approach was developed and implemented in eight governmental buildings to reduce their load during the peak demand hours in summer of 2007. The innovative approach implemented in these buildings included pre-closing treatment (PCT...

  5. LNG production for peak shaving operations

    SciTech Connect (OSTI)

    Price, B.C.

    1999-07-01

    LNG production facilities are being developed as an alternative or in addition to underground storage throughout the US to provide gas supply during peak gas demand periods. These facilities typically involved a small liquefaction unit with a large LNG storage tank and gas sendout facilities capable of responding to peak loads during the winter. Black and Veatch is active in the development of LNG peak shaving projects for clients using a patented mixed refrigerant technology for efficient production of LNG at a low installed cost. The mixed refrigerant technology has been applied in a range of project sizes both with gas turbine and electric motor driven compression systems. This paper will cover peak shaving concepts as well as specific designs and projects which have been completed to meet this market need.

  6. InDemandInDemandInDemand Energize Your Career

    E-Print Network [OSTI]

    Wolberg, George

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

  7. 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.

  8. VideoonDemandVideoonDemandVideoonDemand Video on Demand Testbed

    E-Print Network [OSTI]

    Eleftheriadis, Alexandros

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

  9. VideoonDemandVideoonDemandVideoonDemand Video on Demand Testbed

    E-Print Network [OSTI]

    Eleftheriadis, Alexandros

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

  10. 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)

  11. Semantic Information Integration and Processing for Demand Response Optimization Qunzhi Zhou, Sreedhar Natarajan, Yogesh Simmhan and Viktor Prasanna

    E-Print Network [OSTI]

    Hwang, Kai

    Semantic Information Integration and Processing for Demand Response Optimization Qunzhi Zhou Demand response optimization (DR) deals with curtailing power consumption when peak demand on the power for Dynamic Demand Response Optimization Existing DR programs are typically based on static planning

  12. Gamma radiation field intensity meter

    DOE Patents [OSTI]

    Thacker, L.H.

    1995-10-17

    A gamma radiation intensity meter measures dose rate of a radiation field. The gamma radiation intensity meter includes a tritium battery emitting beta rays generating a current which is essentially constant. Dose rate is correlated to an amount of movement of an electroscope element charged by the tritium battery. Ionizing radiation decreases the voltage at the element and causes movement. A bleed resistor is coupled between the electroscope support element or electrode and the ionization chamber wall electrode. 4 figs.

  13. Gamma radiation field intensity meter

    DOE Patents [OSTI]

    Thacker, L.H.

    1994-08-16

    A gamma radiation intensity meter measures dose rate of a radiation field. The gamma radiation intensity meter includes a tritium battery emitting beta rays generating a current which is essentially constant. Dose rate is correlated to an amount of movement of an electroscope element charged by the tritium battery. Ionizing radiation decreases the voltage at the element and causes movement. A bleed resistor is coupled between the electroscope support element or electrode and the ionization chamber wall electrode. 4 figs.

  14. Healthcare Energy Metering Guidance (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2011-07-01

    This brochure is intended to help facility and energy managers plan and prioritize investments in energy metering. It offers healthcare-specific examples of metering applications, benefits, and steps that other health systems can reproduce. It reflects collaborative input from the U.S. Department of Energy national laboratories and the health system members of the DOE Hospital Energy Alliance's Benchmarking and Measurement Project Team.

  15. Gamma radiation field intensity meter

    DOE Patents [OSTI]

    Thacker, Louis H. (Knoxville, TN)

    1995-01-01

    A gamma radiation intensity meter measures dose rate of a radiation field. The gamma radiation intensity meter includes a tritium battery emitting beta rays generating a current which is essentially constant. Dose rate is correlated to an amount of movement of an electroscope element charged by the tritium battery. Ionizing radiation decreases the voltage at the element and causes movement. A bleed resistor is coupled between the electroscope support element or electrode and the ionization chamber wall electrode.

  16. Gamma radiation field intensity meter

    DOE Patents [OSTI]

    Thacker, Louis H. (Knoxville, TN)

    1994-01-01

    A gamma radiation intensity meter measures dose rate of a radiation field. The gamma radiation intensity meter includes a tritium battery emitting beta rays generating a current which is essentially constant. Dose rate is correlated to an amount of movement of an electroscope element charged by the tritium battery. Ionizing radiation decreases the voltage at the element and causes movement. A bleed resistor is coupled between the electroscope support element or electrode and the ionization chamber wall electrode.

  17. Demand Response and Open Automated Demand Response

    E-Print Network [OSTI]

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

  18. Insert metering plates for gas turbine nozzles

    DOE Patents [OSTI]

    Burdgick, Steven S.; Itzel, Gary; Chopra, Sanjay; Abuaf, Nesim; Correia, Victor H.

    2004-05-11

    The invention comprises a metering plate which is assembled to an impingement insert for use in the nozzle of a gas turbine. The metering plate can have one or more metering holes and is used to balance the cooling flow within the nozzle. A metering plate with multiple holes reduces static pressure variations which result from the cooling airflow through the metering plate. The metering plate can be assembled to the insert before or after the insert is inserted into the nozzle.

  19. Automated Critical Peak Pricing Field Tests: 2006 Pilot Program Description and Results

    E-Print Network [OSTI]

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

    2007-01-01

    13.   Linking energy efficiency, load management, and Operations Peak Load Management (Daily) - TOU Savings - Peakof  energy  efficiency,  load  management,  and  demand 

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

    E-Print Network [OSTI]

    Yener, Aylin

    1 Smart (In-home) Power Scheduling for Demand Response on the Smart Grid Gang Xiong, Chen Chen consumption are part of demand response, which relies on varying price of electricity to reduce peak demand

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

    E-Print Network [OSTI]

    McKane, Aimee

    2010-01-01

    promise in reducing the electricity demand of the industrialchanges the time of electricity demand to off-peak hours.Load shedding curtails electricity demand during a DR event.

  2. High Temperatures & Electricity Demand

    E-Print Network [OSTI]

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

  3. Desert Peak EGS Project

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 20153Danielthrough theKDesert Peak EGS Project DOE Award:

  4. 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.

  5. Metering Approaches | Department of Energy

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

    is needed depending on whether the program is trying to verify utility rates, implement demand response or load management programs, or support certification efforts. One-Time...

  6. Hardware Metering: A Survey Farinaz Koushanfar

    E-Print Network [OSTI]

    -fabrication. Metering is particularly needed in the hori- zontal semiconductor business model where the design houses is a precursor for metering: In passive metering, each ICs is specifi- cally identified, either in terms of its passive and active hardware metering methods available. Electrical and Computer Engineering Department

  7. Saving Power at Peak Hours (LBNL Science at the Theater)

    ScienceCinema (OSTI)

    Piette, Mary Ann

    2011-04-28

    California needs new, responsive, demand-side energy technologies to ensure that periods of tight electricity supply on the grid don't turn into power outages. Led by Berkeley Lab's Mary Ann Piette, the California Energy Commission (through its Public Interest Energy Research Program) has established a Demand Response Research Center that addresses two motivations for adopting demand responsiveness: reducing average electricity prices and preventing future electricity crises. The research seeks to understand factors that influence "what works" in Demand Response. Piette's team is investigating the two types of demand response, load response and price response, that may influence and reduce the use of peak electric power through automated controls, peak pricing, advanced communications, and other strategies.

  8. Advanced Demand Responsive Lighting

    E-Print Network [OSTI]

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

  9. Meters

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCentermillionStockpile Stewardship NationalMEMS: Insideand RP-1

  10. Meters

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on dark matter ByMentor-ProtegeFrom theAvailableMetamaterialsH.sc 620

  11. Peak Power Reduction Strategies for the Lighting Systems in Government Buildings 

    E-Print Network [OSTI]

    Al-Nakib, D.; Al-Mulla, A. A.; Maheshwari, G. P.

    2010-01-01

    Lighting systems are the second major contributor to the peak power demand and energy consumption in buildings after A/C systems. They account for nearly 20% of the peak power demand and 15% of the annual energy consumption. Thus energy efficient...

  12. Opportunities and Challenges for Data Center Demand Response

    E-Print Network [OSTI]

    Low, Steven H.

    Opportunities and Challenges for Data Center Demand Response Adam Wierman Zhenhua Liu Iris Liu of renewable energy into the grid as well as electric power peak-load shaving: data center demand response. Data center demand response sits at the intersection of two growing fields: energy efficient data

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

    E-Print Network [OSTI]

    Low, Steven H.

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

  14. Federal Building Metering Guidance (Per U.S.C. 8253(e), Metering...

    Office of Environmental Management (EM)

    Guidance (Per U.S.C. 8253(e), Metering of Energy Use) Federal Building Metering Guidance (Per U.S.C. 8253(e), Metering of Energy Use) Guidance defines which federal buildings are...

  15. Government Program Briefing: Smart Metering

    SciTech Connect (OSTI)

    Doris, E.; Peterson, K.

    2011-09-01

    This document is adapted and updated from a memo delivered to the City Council of New Orleans, the office of the Mayor of New Orleans, the Chairperson of the Citizen Stakeholders Group (New Orleans Energy Task Force) and the U.S. Department of Energy (DOE) Project Officer in March 2008. This briefing piece provides an overview of the benefits, costs, and challenges of smart metering.

  16. Government Program Briefing: Smart Metering

    Office of Energy Efficiency and Renewable Energy (EERE)

    This document is adapted and updated from a memo delivered to the City Council of New Orleans, the office of the Mayor of New Orleans, the Chairperson of the Citizen Stakeholders Group (New Orleans Energy Task Force) and the U.S. Department of Energy (DOE) Project Officer in March 2008. This briefing piece provides an overview of the benefits, costs, and challenges of smart metering.

  17. A model personal energy meter

    E-Print Network [OSTI]

    Hay, Simon

    2011-10-11

    (PerCom 2010), Mannheim, Germany. Winner of the Mark Weiser Best Paper Award. DOI: 10.1109/PERCOM.2010.5466991 • Andrew Rice and Simon Hay. Measuring mobile phone energy consumption for 802.11 wireless networking. Pervasive and Mobile Computing, Volume... . . . . . . . . . . . . . . . . . . . . . . . . 36 2.2.2 Persuasive technologies for physical activity . . . . . . . . . . . . . 37 2.2.3 Persuasive technologies for energy consumption . . . . . . . . . . . 39 2.3 Metering electricity consumption . . . . . . . . . . . . . . . . . . . . . . . 42 2...

  18. Electricity Demand and Energy Consumption Management System

    E-Print Network [OSTI]

    Sarmiento, Juan Ojeda

    2008-01-01

    This project describes the electricity demand and energy consumption management system and its application to the Smelter Plant of Southern Peru. It is composted of an hourly demand-forecasting module and of a simulation component for a plant electrical system. The first module was done using dynamic neural networks, with backpropagation training algorithm; it is used to predict the electric power demanded every hour, with an error percentage below of 1%. This information allows management the peak demand before this happen, distributing the raise of electric load to other hours or improving those equipments that increase the demand. The simulation module is based in advanced estimation techniques, such as: parametric estimation, neural network modeling, statistic regression and previously developed models, which simulates the electric behavior of the smelter plant. These modules allow the proper planning because it allows knowing the behavior of the hourly demand and the consumption patterns of the plant, in...

  19. THE ACCESS ALMANAC - Making Parking Meters Popular

    E-Print Network [OSTI]

    Shoup, Donald

    2014-01-01

    market prices for curb parking, spend the revenue to improvechanging the politics of parking, cities can meter more ofair, and a cooler planet. Parking meters can then do a world

  20. Peak mass and dynamical friction

    E-Print Network [OSTI]

    A. Del Popolo; M. Gambera

    1995-06-09

    We show how the results given by several authors relatively to the mass of a density peak are changed when small scale substructure induced by dynamical friction are taken into account. The peak mass obtained is compared to the result of Peacock \\& Heavens (1990) and to the peak mass when dynamical friction is absent to show how these effects conspire to reduce the mass accreted by the peak.

  1. 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.

  2. Algorithms for revenue metering and their evaluation 

    E-Print Network [OSTI]

    Martinez-Lagunes, Rodrigo

    2000-01-01

    definitions for non-sinusoidal and/or unbalanced conditions . . . . . . . . . . . . . . 11 3. Definitions for polyphase circuits, . . 16 C. Metering standards... . . . . . . . . , . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . , . . . . . . . . . . . . . . . . . ?. .. . . . . . . . . . . . . . . . . . . . . . . . . 20 D. Conclusions. 21 III IMPLEMENTATION ISSUES 23 A. Introduction. B. Implementation of digital revenue meters C, Integration of digital revenue meters. 1. Communication architecture and protocols . . 2. Utility communication architecture (UCA...

  3. Net Metering | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to: navigation,MeregNIFESpinningLtd JumpPFAN) | OpenUNEPNet Metering Jump

  4. PQMII POWER QUALITY METER INSTRUCTION MANUAL 11 PQMII Power Quality Meter

    E-Print Network [OSTI]

    Meyers, Steven D.

    #12;#12;#12;PQMII POWER QUALITY METER ­ INSTRUCTION MANUAL 1­1 PQMII Power Quality Meter Chapter 1 Multilin PQMII Power Quality Meter is an ideal choice for continuous monitoring of a single or three-phase system. It provides metering for current, voltage, real power, reactive power, apparent power, energy use

  5. Insights from Smart Meters: The Potential for Peak Hour Savings from

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergy HeadquartersFuelBConservationEnergy Innovative Software TacklesCharacteristics

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

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

  7. Automated Critical Peak Pricing Field Tests: Program Descriptionand Results

    SciTech Connect (OSTI)

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Xu, Peng

    2006-04-06

    California utilities have been exploring the use of critical peak prices (CPP) to help reduce needle peaks in customer end-use loads. CPP is a form of price-responsive demand response (DR). Recent experience has shown that customers have limited knowledge of how to operate their facilities in order to reduce their electricity costs under CPP (Quantum 2004). While the lack of knowledge about how to develop and implement DR control strategies is a barrier to participation in DR programs like CPP, another barrier is the lack of automation of DR systems. During 2003 and 2004, the PIER Demand Response Research Center (DRRC) conducted a series of tests of fully automated electric demand response (Auto-DR) at 18 facilities. Overall, the average of the site-specific average coincident demand reductions was 8% from a variety of building types and facilities. Many electricity customers have suggested that automation will help them institutionalize their electric demand savings and improve their overall response and DR repeatability. This report focuses on and discusses the specific results of the Automated Critical Peak Pricing (Auto-CPP, a specific type of Auto-DR) tests that took place during 2005, which build on the automated demand response (Auto-DR) research conducted through PIER and the DRRC in 2003 and 2004. The long-term goal of this project is to understand the technical opportunities of automating demand response and to remove technical and market impediments to large-scale implementation of automated demand response (Auto-DR) in buildings and industry. A second goal of this research is to understand and identify best practices for DR strategies and opportunities. The specific objectives of the Automated Critical Peak Pricing test were as follows: (1) Demonstrate how an automated notification system for critical peak pricing can be used in large commercial facilities for demand response (DR). (2) Evaluate effectiveness of such a system. (3) Determine how customers will respond to this form of automation for CPP. (4) Evaluate what type of DR shifting and shedding strategies can be automated. (5) Explore how automation of control strategies can increase participation rates and DR saving levels with CPP. (6) Identify optimal demand response control strategies. (7) Determine occupant and tenant response.

  8. The Economics of Energy (and Electricity) Demand

    E-Print Network [OSTI]

    Platchkov, Laura M.; Pollitt, Michael G.

    25 3.3.2 Electrification of personal transport New sources of electricity demand may emerge which substantially change the total demand for electricity and the way electricity is consumed by the household. The Tesla Roadster12 stores 53 k... substantial battery storage capacity to the electricity grid, both when stationary at home and when at work. They may thus be very useful in providing short term back-up at system demand peaks or for dumping electricity to the batteries when supply is at a...

  9. Measurement and evaluation techniques for automated demand response demonstration

    SciTech Connect (OSTI)

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

    2004-08-01

    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.

  10. Demand Response Valuation Frameworks Paper

    E-Print Network [OSTI]

    Heffner, Grayson

    2010-01-01

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

  11. Peak Oil, Peak Energy Mother Nature Bats Last

    E-Print Network [OSTI]

    Sereno, Martin

    Peak Oil, Peak Energy Mother Nature Bats Last Martin Sereno 1 Feb 2011 (orig. talk: Nov 2004) #12;Oil is the Lifeblood of Industrial Civilization · 80 million barrels/day, 1000 barrels/sec, 1 cubicPods to the roads themselves) · we're not "addicted to oil" -- that's like saying a person has an "addiction

  12. Texas Nuclear Profile - Comanche Peak

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

    Comanche Peak" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  13. Providing Regulation Services and Managing Data Center Peak Power Budgets

    E-Print Network [OSTI]

    Simunic, Tajana

    -based peak shaving. However, none of these publications consider the feasibility of using the energy storage AND RELATED WORK Substantial integration of electric vehicles and renewable energy sources into the electric utility companies use to ensure stability. It includes multiple mechanisms, such as demand-response (DR

  14. 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

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

    E-Print Network [OSTI]

    Bowen, Brian (Brian Richard)

    2015-01-01

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

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

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2013-01-01

    that pre-cool, rebound, or otherwise shift energy use to theexhibit almost no rebound and save some energy on DR days,min) Rebound (kW) Daily peak demand (%) Daily energy (%)

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

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2012-01-01

    that pre-cool, rebound, or otherwise shift energy use to theexhibit almost no rebound and save some energy on DR days,min) Rebound (kW) Daily peak demand (%) Daily energy (%)

  18. City of St. George- Net Metering

    Broader source: Energy.gov [DOE]

    The St. George City Council adopted a net-metering program for area utilities, including interconnection procedures, in October 2005.* The interconnection procedures include different requirements,...

  19. Table 12. Advanced metering, 2007 through 2013

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

    Iowa" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",744438,722583,713567,710239,697696,559054,139256 "Residential",646196,624355,620170,615649,61235...

  20. Table 12. Advanced metering, 2007 through 2013

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

    Georgia" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",627008,613969,521331,487830,435276,317642,295425 "Residential",556807,552232,467749,440914,39...

  1. Table 12. Advanced metering, 2007 through 2013

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

    Connecticut" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",1469876,1481357,1496432,1536716,1530906,1534171,1478640 "Residential",1324280,1334604,135...

  2. Table 12. Advanced metering, 2007 through 2013

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

    Florida" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",3395748,3755977,3637527,3231398,3216922,2579337,2416630 "Residential",3139468,3455396,3325863...

  3. Table 12. Advanced metering, 2007 through 2013

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

    Virginia" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",2978913,3094379,3079891,3159249,3047610,3053272,2934487 "Residential",2742598,2851174,284125...

  4. Table 12. Advanced metering, 2007 through 2013

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

    Minnesota" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",1913337,1922706,1909106,1985873,1874104,1718448,363947 "Residential",1730915,1735168,173372...

  5. Table 12. Advanced metering, 2007 through 2013

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

    Colorado" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",1643794,1552727,1622740,1636242,1495425,1410712,231119 "Residential",1491944,1425970,1502253...

  6. Table 12. Advanced metering, 2007 through 2013

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

    Maryland" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",611045,877019,903093,889901,875440,845154,725634 "Residential",549148,799807,823936,815476,8...

  7. Table 12. Advanced metering, 2007 through 2013

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

    Rhode Island" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",471388,470428,467346,457508,458475,451138,450668 "Residential",461380,461788,460721,4094...

  8. Table 12. Advanced metering, 2007 through 2013

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

    Dakota" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",274775,171896,165282,181060,149553,123861,41003 "Residential",225851,141249,139162,154904,1293...

  9. Table 12. Advanced metering, 2007 through 2013

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

    Delaware" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",116714,114296,113252,405728,56702,110087,20750 "Residential",105342,103234,102397,364709,526...

  10. Table 12. Advanced metering, 2007 through 2013

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

    Michigan" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",337976,324455,314211,359361,333902,272851,189606 "Residential",292051,283561,272718,318011,2...

  11. Table 12. Advanced metering, 2007 through 2013

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

    Mexico" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",214695,229210,220279,228503,244759,216434,112719 "Residential",192195,206606,198130,207663,226...

  12. Table 12. Advanced metering, 2007 through 2013

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

    Illinois" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",997408,973664,998081,1002378,973505,851285,549055 "Residential",888394,869121,894434,902092,...

  13. Table 12. Advanced metering, 2007 through 2013

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

    Kansas" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",349836,335293,320708,400083,308859,300734,53919 "Residential",303782,289091,276856,343492,2646...

  14. Table 12. Advanced metering, 2007 through 2013

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

    Mississippi" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",273118,136678,116456,144254,103645,91623,24243 "Residential",237034,117623,101376,130228,...

  15. Table 12. Advanced metering, 2007 through 2013

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

    Arizona" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",380098,339368,314854,246497,666915,500476,354452 "Residential",342033,307265,287712,225362,63...

  16. Table 12. Advanced metering, 2007 through 2013

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

    Tennessee" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",730599,309569,320041,45373,43870,43861,46240 "Residential",643429,276292,285239,41482,41208...

  17. Table 12. Advanced metering, 2007 through 2013

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

    Washington" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",1715708,1681481,1656936,1611285,1326509,1346041,1143057 "Residential",1525473,1494345,1474...

  18. Table 12. Advanced metering, 2007 through 2013

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

    Oklahoma" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",385000,430870,427117,459002,392071,400426,277880 "Residential",332981,377207,376188,400471,3...

  19. Table 12. Advanced metering, 2007 through 2013

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

    United States" "Technology by sector", 2013, 2012, 2011, 2010 "AMR meters",48736538,48330822,45965762,48685043 "Residential",43728325,43455437,41451888,43913225...

  20. Table 12. Advanced metering, 2007 through 2013

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

    Pennsylvania" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",1508995,2093902,2358735,2338527,2232621,2203630,1526540 "Residential",1283786,1854282,21...

  1. Table 12. Advanced metering, 2007 through 2013

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

    Alaska" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",232888,233270,230916,221262,139874,58993,27057 "Residential",204000,206539,204690,195920,12497...

  2. Table 12. Advanced metering, 2007 through 2013

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

    Montana" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",520018,495676,489407,482732,481682,397693,347611 "Residential",448313,430824,429479,423471,41...

  3. Table 12. Advanced metering, 2007 through 2013

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

    Carolina" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",1848300,1816190,1809822,1897976,1700354,1510892,963079 "Residential",1621880,1600626,1596247...

  4. Table 12. Advanced metering, 2007 through 2013

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

    Massachusetts" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",2815732,2753089,2717020,2634758,2605159,2389547,2327751 "Residential",2579059,2527224,2...

  5. Table 12. Advanced metering, 2007 through 2013

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

    Wyoming" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",225895,210204,206764,147885,175769,139584,26178 "Residential",181206,166730,162523,114344,141...

  6. Table 12. Advanced metering, 2007 through 2013

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

    Ohio" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",1068626,948564,727112,622965,563380,512000,277489 "Residential",976072,867682,680331,582725,5255...

  7. Table 12. Advanced metering, 2007 through 2013

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

    Nebraska" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",535042,523950,503996,484383,454089,399845,380008 "Residential",451388,444819,430631,415589,3...

  8. Table 12. Advanced metering, 2007 through 2013

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

    Louisiana" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",371841,357579,344263,342766,331557,283997,203389 "Residential",344167,330690,318544,316995,...

  9. Table 12. Advanced metering, 2007 through 2013

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

    Missouri" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",1920471,1935078,1917474,1959937,1921343,1933413,1546006 "Residential",1696195,1709394,169806...

  10. Table 12. Advanced metering, 2007 through 2013

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

    Carolina" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",3708639,3613936,3768269,4027965,3718103,3521887,2048869 "Residential",3322965,3255122,339690...

  11. Table 12. Advanced metering, 2007 through 2013

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

    Utah" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",947887,931692,903266,912616,851283,791097,374299 "Residential",861955,849405,821766,814440,77296...

  12. Table 12. Advanced metering, 2007 through 2013

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

    West Virginia" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",520857,464502,473117,474077,436376,438764,448444 "Residential",439830,394660,399243,402...

  13. Table 12. Advanced metering, 2007 through 2013

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

    Idaho" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",177493,168685,163567,142759,151004,146779,88220 "Residential",155125,147140,142398,122329,13372...

  14. Table 12. Advanced metering, 2007 through 2013

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

    Indiana" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",1251574,1284613,1095102,1059678,1038172,951160,382580 "Residential",1115322,1167245,990346,96...

  15. Table 12. Advanced metering, 2007 through 2013

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

    Dakota" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",162490,163750,181907,193350,89054,66943,33995 "Residential",140673,143049,159847,171557,79340,...

  16. Table 12. Advanced metering, 2007 through 2013

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

    Kentucky" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",532871,607590,548321,495475,529171,526410,445146 "Residential",465927,534181,484008,439680,4...

  17. Table 12. Advanced metering, 2007 through 2013

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

    Texas" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",2278989,2649814,2362245,2609078,3758758,2513848,1019510 "Residential",2073428,2396415,2160965,2...

  18. Table 12. Advanced metering, 2007 through 2013

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

    Oregon" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",183897,173477,180073,180305,182669,179104,91950 "Residential",168007,158650,161735,163234,1679...

  19. Table 12. Advanced metering, 2007 through 2013

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

    California" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",827670,580957,431858,1696965,345864,238634,181180 "Residential",699209,481305,319842,15202...

  20. Table 12. Advanced metering, 2007 through 2013

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

    York" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",3052524,2515127,2328801,2223645,2164329,1701366,1534285 "Residential",2848664,2295268,2140229,20...

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

    E-Print Network [OSTI]

    Koutsopoulos, Iordanis

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

  2. Peaking of world oil production: Impacts, mitigation, & risk management

    SciTech Connect (OSTI)

    Hirsch, R.L.; Bezdek, Roger; Wendling, Robert

    2005-02-01

    The peaking of world oil production presents the U.S. and the world with an unprecedented risk management problem. As peaking is approached, liquid fuel prices and price volatility will increase dramatically, and, without timely mitigation, the economic, social, and political costs will be unprecedented. Viable mitigation options exist on both the supply and demand sides, but to have substantial impact, they must be initiated more than a decade in advance of peaking.... The purpose of this analysis was to identify the critical issues surrounding the occurrence and mitigation of world oil production peaking. We simplified many of the complexities in an effort to provide a transparent analysis. Nevertheless, our study is neither simple nor brief. We recognize that when oil prices escalate dramatically, there will be demand and economic impacts that will alter our simplified assumptions. Consideration of those feedbacks will be a daunting task but one that should be undertaken. Our aim in this study is to-- • Summarize the difficulties of oil production forecasting; • Identify the fundamentals that show why world oil production peaking is such a unique challenge; • Show why mitigation will take a decade or more of intense effort; • Examine the potential economic effects of oil peaking; • Describe what might be accomplished under three example mitigation scenarios. • Stimulate serious discussion of the problem, suggest more definitive studies, and engender interest in timely action to mitigate its impacts.

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

    E-Print Network [OSTI]

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

    2007-01-01

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

  4. The Effects of the Peak-Peak Correlation on the Peak Model of Hierarchical Clustering

    E-Print Network [OSTI]

    A. Manrique; A. Raig; J. M. Solanes; G. Gonzalez-Casado; P. Stein; E. Salvador-Sole

    1997-12-05

    In two previous papers a semi-analytical model was presented for the hierarchical clustering of halos via gravitational instability from peaks in a random Gaussian field of density fluctuations. This model is better founded than the extended Press-Schechter model, which is known to agree with numerical simulations and to make similar predictions. The specific merger rate, however, shows a significant departure at intermediate captured masses. The origin of this was suspected as being the rather crude approximation used for the density of nested peaks. Here, we seek to verify this suspicion by implementing a more accurate expression for the latter quantity which accounts for the correlation among peaks. We confirm that the inclusion of the peak-peak correlation improves the specific merger rate, while the good behavior of the remaining quantities is preserved.

  5. 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).

  6. DEMAND INTERPROCEDURAL PROGRAM ANALYSIS

    E-Print Network [OSTI]

    Reps, Thomas W.

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

  7. Capacity Demand Power (GW)

    E-Print Network [OSTI]

    California at Davis, University of

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

  8. Demand Response Assessment INTRODUCTION

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    LBNL-5556E Field Testing of Automated Demand Response for Integration of Renewable Resources responsibility for the accuracy, completeness, or usefulness of any information TCP/IP over CDMA CAISO Utility Aggregator NOC Proprietary Comm. EMS GridLink Loads Interval Meter

  10. Opportunities for Automated Demand Response in Wastewater Treatment

    E-Print Network [OSTI]

    for North Shore Pumping Station shutdowns Cogeneration Plant Active #12;Figure 16: Demand from utility meter, solar generation, and cogeneration during days where cogeneration unit is running throughout the day Figure 17: Cogeneration unit ramp-up profile #12;CHAPTER 7: Conclusions #12;#12;References #12;Glossary

  11. Proton recoil scintillator neutron rem meter

    DOE Patents [OSTI]

    Olsher, Richard H. (Los Alamos, NM); Seagraves, David T. (Los Alamos, NM)

    2003-01-01

    A neutron rem meter utilizing proton recoil and thermal neutron scintillators to provide neutron detection and dose measurement. In using both fast scintillators and a thermal neutron scintillator the meter provides a wide range of sensitivity, uniform directional response, and uniform dose response. The scintillators output light to a photomultiplier tube that produces an electrical signal to an external neutron counter.

  12. 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.

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

    E-Print Network [OSTI]

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

    2003-01-01

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

  14. 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.

  15. Management of Power Demand through Operations of Building Systems 

    E-Print Network [OSTI]

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

    2009-01-01

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

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

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

  17. U.S. Energy Demand, Offshore Oil Production and

    E-Print Network [OSTI]

    Patzek, Tadeusz W.

    U.S. Energy Demand, Offshore Oil Production and BP's Macondo Well Spill Tad Patzek, Petroleum that run the U.S. Complexity, models, risks Gulf of Mexico's oil and gas production Conclusions ­ p.3/4 #12;Summary of Conclusions. . . The global rate of production of oil is peaking now, coal will peak in 2

  18. CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST

    E-Print Network [OSTI]

    . Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption data Office. Andrea Gough ran the summary energy model and supervised data preparation. Glen Sharp prepared models. Both the staff revised energy consumption and peak forecasts are slightly higher than

  19. Automated Demand Response and Commissioning

    E-Print Network [OSTI]

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

    2005-01-01

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

  20. Demand Response Spinning Reserve Demonstration

    E-Print Network [OSTI]

    2007-01-01

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

  1. Demand Response Programs for Oregon

    E-Print Network [OSTI]

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

  2. 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.

  3. Peak finding using biorthogonal wavelets

    SciTech Connect (OSTI)

    Tan, C.Y.

    2000-02-01

    The authors show in this paper how they can find the peaks in the input data if the underlying signal is a sum of Lorentzians. In order to project the data into a space of Lorentzian like functions, they show explicitly the construction of scaling functions which look like Lorentzians. From this construction, they can calculate the biorthogonal filter coefficients for both the analysis and synthesis functions. They then compare their biorthogonal wavelets to the FBI (Federal Bureau of Investigations) wavelets when used for peak finding in noisy data. They will show that in this instance, their filters perform much better than the FBI wavelets.

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

    E-Print Network [OSTI]

    Boutaba, Raouf

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

  5. Exponential Demand Simulation Tool

    E-Print Network [OSTI]

    Reed, Derek D.

    2015-05-15

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

  6. 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...

  7. Farmington Electric Utility System- Net Metering

    Broader source: Energy.gov [DOE]

    Farmington Electric, a municipal utility, offers net metering to residential customers with systems up to 10 kilowatts (kW) in capacity. This option is available for photovoltaic (PV), wind, hydro...

  8. BPA Metering Services Editing and Estimating Procedures

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

    be used to scale the estimated interval data with a shape projection applied. If SCADA data is available and has been mapped to the point of metering, it may be used for...

  9. Table 12. Advanced metering, 2007 through 2013

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

    New Hampshire" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",69251,61857,59512,53293,50098,48310,46505 "Residential",67647,60510,58467,47171,43959,4...

  10. Table 12. Advanced metering, 2007 through 2013

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

    Jersey" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",38125,41827,35412,43254,27018,21054,8132 "Residential",35775,28906,23442,31700,15987,11031,726...

  11. Table 12. Advanced metering, 2007 through 2013

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

    Hawaii" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",33662,57269,46871,44911,41201,28512,22820 "Residential",32688,53083,44459,42324,38779,26141,21...

  12. Table 12. Advanced metering, 2007 through 2013

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

    Nevada" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",53483,38201,81499,78292,96058,81992,63856 "Residential",44206,30907,72579,69795,85984,74356,59...

  13. Table 12. Advanced metering, 2007 through 2013

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

    Vermont" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",53266,44430,84409,81030,77963,71278,58477 "Residential",48343,39930,76274,73703,71100,65176,5...

  14. Table 12. Advanced metering, 2007 through 2013

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

    District of Columbia" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",2188,2991,4659,35987,29770,32000,3562 "Residential",1046,1722,3108,32964,27174,2...

  15. Table 12. Advanced metering, 2007 through 2013

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

    Maine" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",6822,6415,5210,4499,116826,103242,101084 "Residential",6455,6075,4920,3375,101823,101363,99995...

  16. Murray City Power- Net Metering Pilot Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    Under a pilot program, Murray City Power offers net metering to customers that generate electricity using photovoltaic (PV), wind-electric or hydroelectric systems with a maximum capacity of 10...

  17. Heating Energy Meter Validation for Apartments 

    E-Print Network [OSTI]

    Cai, B.; Li, D.; Hao, B.

    2006-01-01

    Bedroom Dining No.1 Toilet room Bedroom Kitchen Dining room No.2 Toilet Kitchen Bedroom Fig 1 Standard cells? illustration 3 RELIABILITY ANALYZING OF HEAT METERS? DATA By the arduous work of workers, project group gain the data of 361 heat meters... and Building Saving Energy [M]. Beijing: Machine Industry Press, 2004.1, 269-414. (In Chinese) [3] Jinglang CAI, Zheng XU, Yingchao LI. Analyzing to Adjacent Rooms? Heat Transfer for Central Heating System [J]. Heating and Ventilating and Air...

  18. How to Read Residential Electric and Natural Gas Meters | Department...

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

    How to Read Residential Electric and Natural Gas Meters How to Read Residential Electric and Natural Gas Meters An electromechanical electric meter on the side of a house. | Photo...

  19. Secretary Chu Announces Two Million Smart Grid Meters Installed...

    Energy Savers [EERE]

    Secretary Chu Announces Two Million Smart Grid Meters Installed Nationwide Secretary Chu Announces Two Million Smart Grid Meters Installed Nationwide August 31, 2010 - 12:00am...

  20. Smart Meters Offer ‘Instant Gratification;’ Help Houston Homeowners Save

    Broader source: Energy.gov [DOE]

    How can smart meters help you save on your electric bill? Homeowners in Houston see their savings in real time on Recovery-act funded smart meters.

  1. High Performance Computing Data Center Metering Protocol | Department...

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

    High Performance Computing Data Center Metering Protocol High Performance Computing Data Center Metering Protocol Guide details the methods for measurement in High Performance...

  2. Solutia: Utilizing Sub-Metering to Drive Energy Project Approvals...

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

    plant. Solutia: Utilizing Sub-Metering to Drive Energy Project Approvals Through Data (July 2011) More Documents & Publications Nissan North America: How Sub-Metering...

  3. Metering Best Practices: A Guide to Achieving Utility Resource...

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

    information about energy and resource metering at federal facilities, including metering requirements under the Energy Policy Act of 2005. mbpg2015.pdf More Documents &...

  4. Silver Peak Innovative Exploration Project

    Broader source: Energy.gov [DOE]

    DOE Geothermal Peer Review 2010 - Presentation. Project objectives: Reduce the high level of risk during the early stages of geothermal project development by conducting a multi-faceted and innovative exploration and drilling program at Silver Peak. Determine the combination of techniques that are most useful and cost-effective in identifying the geothermal resource through a detailed, post-project evaluation of the exploration and drilling program.

  5. 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.

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

    E-Print Network [OSTI]

    Kranakis, Evangelos

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

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

    E-Print Network [OSTI]

    Pedram, Massoud

    Distributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost Siyu Yue of electricity consumers is an effective way to alleviate the peak power demand on the elec- tricity grid- ple users cooperate to perform load demand scheduling in order to minimize the electricity generation

  8. Electrical Metering Equipment and Sensors Appendix D -Electrical Metering Equipment and Sensors

    E-Print Network [OSTI]

    Appendix D ­ Electrical Metering Equipment and Sensors #12;D.1 Appendix D - Electrical Metering Equipment and Sensors D.1 Controllable Electrical Panel Figure D.1. Square D Power Link Electrical Panel D.1.1 Schneider Electric/Square D Power Link G3 Control System The Square D Powerlink G3 offers programmable

  9. Smart Meter Driven Segmentation: What Your Consumption Says About You

    SciTech Connect (OSTI)

    Albert, A; Rajagopal, R

    2013-11-01

    With the rollout of smart metering infrastructure at scale, demand-response (DR) programs may now be tailored based on users' consumption patterns as mined from sensed data. For issuing DR events it is key to understand the inter-temporal consumption dynamics as to appropriately segment the user population. We propose to infer occupancy states from consumption time series data using a hidden Markov model framework. Occupancy is characterized in this model by 1) magnitude, 2) duration, and 3) variability. We show that users may be grouped according to their consumption patterns into groups that exhibit qualitatively different dynamics that may be exploited for program enrollment purposes. We investigate empirically the information that residential energy consumers' temporal energy demand patterns characterized by these three dimensions may convey about their demographic, household, and appliance stock characteristics. Our analysis shows that temporal patterns in the user's consumption data can predict with good accuracy certain user characteristics. We use this framework to argue that there is a large degree of individual predictability in user consumption at a population level.

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

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

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

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

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

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

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

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

  14. Liquid metal Flow Meter - Final Report

    SciTech Connect (OSTI)

    Andersen, C.; Hoogendoom, S.; Hudson, B.; Prince, J.; Teichert, K.; Wood, J.; Chase, K.

    2007-01-30

    Measuring the flow of liquid metal presents serious challenges. Current commercially-available flow meters use ultrasonic, electromagnetic, and other technologies to measure flow, but are inadequate for liquid metal flow measurement because of the high temperatures required by most liquid metals. As a result of the reactivity and high temperatures of most liquid metals, corrosion and leakage become very serious safety concerns. The purpose of this project is to develop a flow meter for Lockheed Martin that measures the flow rate of molten metal in a conduit.

  15. SOLVENT DISPERSION AND FLOW METER CALCULATION RESULTS

    SciTech Connect (OSTI)

    Nash, C.; Fondeur, F.; Peters, T.

    2013-06-21

    Savannah River National Laboratory (SRNL) found that the dispersion numbers for the six combinations of CSSX:Next Generation Solvent (NGS) “blend” and pure NGS versus salt solution, caustic wash, and strip aqueous solutions are all good. The dispersion numbers are indications of processability with centrifugal contactors. A comparison of solvent physical and thermal properties shows that the Intek™ solvent flow meter in the plant has a reading biased high versus calibrated flow when NGS is used, versus the standard CSSX solvent. The flow meter, calibrated for CSSX solvent, is predicted to read 2.8 gpm of NGS in a case where the true flow of NGS is 2.16 gpm.

  16. 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.

  17. Finishing, assembling, and testing the empire, demand limiting meter-style A-Ottawa, Kansas

    E-Print Network [OSTI]

    Tait, Ralph Shannon

    1922-01-01

    ZZj Y F/GURE 23. T/?AY EOR CAKRY/MG YQSSEFIO&T-SRO F7ETERG. 46 At stations 5 the leakage tests were madej which showed the leakage in Cubic Feet per hour past the valve and disc. This leakage varied from perhaps ten to twenty cubic feet per... hour. Table 3 shows the leakage past various sizes of valves and discs. The leakage tester was told what capacity to make the devices. From a table similar to the one given below he filled in on the record slip the number and size of oufice Holes...

  18. Deployment of Behind-The-Meter Energy Storage for Demand Charge...

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

    represented. The degree to which this affects our results has not been quantified. The solar irradiance data were collected at 1-second intervals throughout the entire year of...

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electricLaboratory | version ofEnergy This document outlinesSince

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

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

  1. Demand Response Valuation Frameworks Paper

    E-Print Network [OSTI]

    Heffner, Grayson

    2010-01-01

    No. ER06-615-000 CAISO Demand Response Resource User Guide -8 2.1. Demand Response Provides a Range of Benefits to8 2.2. Demand Response Benefits can be Quantified in Several

  2. Smart Meter Company Boosting Production, Workforce

    Office of Energy Efficiency and Renewable Energy (EERE)

    A manufacturing facility in South Carolina is producing enough smart meters to reduce annual electricity use by approximately 1.7 million megawatt hours -- and through advanced manufacturing tax credits, just increased the facility's production capability by 20 percent and created 420 jobs.

  3. A CARBON METER FOR OPTIMISATION OF GOLD

    E-Print Network [OSTI]

    Mucina, Ladislav

    A CARBON METER FOR OPTIMISATION OF GOLD EXTRACTION IP COMMERCIALISATION Tom Hammond Business of technology The Carbon-in-Pulp (CIP) process is used as the primary gold extraction method in gold mines around the world. An observation that activated carbon added to the circuit is not well monitored

  4. Optimal Demand Response Libin Jiang

    E-Print Network [OSTI]

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

  5. ENERGY DEMAND FORECAST METHODS REPORT

    E-Print Network [OSTI]

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

  6. 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.

  7. 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.

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

    E-Print Network [OSTI]

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

    2013-01-01

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

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

    E-Print Network [OSTI]

    Carlini, David

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

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

    E-Print Network [OSTI]

    Li, Baochun

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

  11. Natural gas vehicle fueling station dispenser meter evaluations

    SciTech Connect (OSTI)

    Rowley, P.F.; Kriha, K.; Blazek, C.F. [Inst. of Gas Technology, Chicago, IL (United States)

    1995-12-31

    The Institute of Gas Technology (IGT) has constructed a multi-purpose meter evaluation facility capable of testing metering technologies for high flow rate and high pressure NGV dispenser applications. The objective of IGT`s meter evaluation program, sponsored by IGT`s Sustaining Membership Program and the Gas Research Institute, is to assist the industry in evaluating the performance and accuracy of currently available flowmeters that are being used or could be applied to CNG gas dispensing. These meters are tested at various flow rates and pressures to determine their performance under NGV fueling station operating conditions and to identify the performance characteristics and limitations for each meter. The metering technologies which are being evaluated under this program include Coriolis meter, sonic nozzle meter, and turbine meter designs.

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

    E-Print Network [OSTI]

    Zhou, Nan

    2012-01-01

    demand, bunker fuel (heavy oil) demand will continue to risea gasoline exporter, as demand for other oil products is notof oil equivalent, but increase annual electricity demand by

  13. The Effect of CO2 Pricing on Conventional and Non- Conventional Oil Supply and Demand

    E-Print Network [OSTI]

    Méjean, Aurélie; Hope, Chris

    demand modelling Meling (StatoilHydro) 1.6%/year No detailed demand modelling Total 1.4%/year No detailed demand modelling Exxon Mobil 1.4%/year Detailed demand modelling Energyfiles 1.8%/year Demand not modelled, exogenous rate Adapted from (UKERC... of unconventional oil and gas) “By 2015, growth in the production of easily accessible oil and gas will not match the projected rate of demand growth.” UKERC (2009b p33) ExxonMobil 2008 101 in 2030 (excl. non-conventional oil) No peak before 2030 UKERC...

  14. Residential Customer Enrollment in Time-based Rate and Enabling Technology Programs: Smart Grid Investment Grant Consumer Behavior Study Analysis

    E-Print Network [OSTI]

    Todd, Annika

    2014-01-01

    2011 Assessment of Demand Response & Advanced Metering:Critical Peak Rebate – A demand response program that paysthe benefits from customer demand response enabled by these

  15. Energy Demand Staff Scientist

    E-Print Network [OSTI]

    Eisen, Michael

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

  16. 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.

  17. Community Net Energy Metering: How Novel Policies Expand Benefits of Net Metering to Non-Generators

    SciTech Connect (OSTI)

    Rose, James; Varnado, Laurel

    2009-04-01

    As interest in community solutions to renewable energy grows, more states are beginning to develop policies that encourage properties with more than one meter to install shared renewable energy systems. State net metering policies are evolving to allow the aggregation of multiple meters on a customer���¢��������s property and to dissolve conventional geographical boundaries. This trend means net metering is expanding out of its traditional function as an enabling incentive to offset onsite customer load at a single facility. This paper analyzes community net energy metering (CNEM) as an emerging vehicle by which farmers, neighborhoods, and municipalities may more easily finance and reap the benefits of renewable energy. Specifically, it aims to compare and contrast the definition of geographical boundaries among different CNEM models and examine the benefits and limitations of each approach. As state policies begin to stretch the geographic boundaries of net metering, they allow inventive solutions to encourage renewable energy investment. This paper attempts to initiate the conversation on this emerging policy mechanism and offers recommendations for further development of these policies.

  18. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01

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

  19. Demand Forecast INTRODUCTION AND SUMMARY

    E-Print Network [OSTI]

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

  20. Fuel cell membrane hydration and fluid metering

    DOE Patents [OSTI]

    Jones, Daniel O. (Glenville, NY); Walsh, Michael M. (Fairfield, CT)

    2003-01-01

    A hydration system includes fuel cell fluid flow plate(s) and injection port(s). Each plate has flow channel(s) with respective inlet(s) for receiving respective portion(s) of a given stream of reactant fluid for a fuel cell. Each injection port injects a portion of liquid water directly into its respective flow channel. This serves to hydrate at least corresponding part(s) of a given membrane of the corresponding fuel cell(s). The hydration system may be augmented by a metering system including flow regulator(s). Each flow regulator meters an injecting at inlet(s) of each plate of respective portions of liquid into respective portion(s) of a given stream of fluid by corresponding injection port(s).

  1. Fuel cell membrane hydration and fluid metering

    DOE Patents [OSTI]

    Jones, Daniel O. (Glenville, NY); Walsh, Michael M. (Fairfield, CT)

    1999-01-01

    A hydration system includes fuel cell fluid flow plate(s) and injection port(s). Each plate has flow channel(s) with respective inlet(s) for receiving respective portion(s) of a given stream of reactant fluid for a fuel cell. Each injection port injects a portion of liquid water directly into its respective flow channel in order to mix its respective portion of liquid water with the corresponding portion of the stream. This serves to hydrate at least corresponding part(s) of a given membrane of the corresponding fuel cell(s). The hydration system may be augmented by a metering system including flow regulator(s). Each flow regulator meters an injecting at inlet(s) of each plate of respective portions of liquid into respective portion(s) of a given stream of fluid by corresponding injection port(s).

  2. How to Read Your Electric Meter | Department of Energy

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

    Your Electric Meter How to Read Your Electric Meter July 2, 2012 - 8:21pm Addthis The difference between one month's reading and the next is the amount of energy units that have...

  3. Solutia: Utilizing Sub-Metering to Drive Energy Project Approvals...

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

    Solutia: Utilizing Sub-Metering to Drive Energy Project Approvals Through Data Solutia, Inc. has a long history with sub-metering, dating back to the construction of some of its...

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

    E-Print Network [OSTI]

    Yin, Rongxin

    2010-01-01

    2007). “Impact of Electricity Rate Structure on Energy Costside, a set of electricity rates are used to evaluate theto understand the impact of electricity rate structures on

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

    E-Print Network [OSTI]

    Yin, Rongxin

    2010-01-01

    and Passive Building Thermal Storage Utilization. ” JournalControl of Passive Thermal Storage. ” ASHRAE Transactions,due to the high thermal storage during the pre-cooling

  6. Peak Demand Reduction from Pre-Cooling with Zone Temperature Reset in an Office Building

    E-Print Network [OSTI]

    Xu, Peng

    2010-01-01

    Control of Building Thermal Storage. ASHRAE Transactions 96(Control of Building Thermal Storage. ASHRAE Transactions1992. Heat Storage in Building Thermal Mass: A Parametric

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

    E-Print Network [OSTI]

    Yin, Rongxin

    2010-01-01

    of HVAC Simulations Between EnergyPlus and DOE-2.2 for DataTool (DRQAT), which uses EnergyPlus simulation prototypesprototypical building using an EnergyPlus simulation model (

  8. Peak Demand Reduction with Dual-Source Heat Pumps Using Municipal Water 

    E-Print Network [OSTI]

    Morehouse, J. H.; Khan, J. A.; Connor, L. N.; Pal, D.

    1992-01-01

    The objective of this project was to examine a dual-source (air and/or water-coupled) heat pump concept which would reduce or eliminate the need for supplemental electrical resistance heating (strip heaters). The project examined two system options...

  9. A Power Scheduling Game for Reducing the Peak Demand of Residential Users

    E-Print Network [OSTI]

    users select the cheapest time slots (minimizing their daily bill) while satisfying their energy. INTRODUCTION The electricity generation, distribution and consumption are in the throes of change due challenges that have emerged in electric systems. One of the most relevant challenges associated

  10. OG&E Uses Time-Based Rate Program to Reduce Peak Demand

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOEDepartmentNew2008Group, Inc. Order(National4,

  11. How are flat demand charges based on the highest peak over the past 12

    Open Energy Info (EERE)

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

  12. High-Performance with Solar Electric Reduced Peak Demand: Premier Homes

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,ExecutiveFinancing ProgramsDepartmentHigh-EfficiencyPatrickMaterials forRancho

  13. Peak Travel, Peak Car and the Future of Mobility: Evidence, Unresolved...

    Open Energy Info (EERE)

    Peak Travel, Peak Car and the Future of Mobility: Evidence, Unresolved Issues, Policy Implications, and a Research Agenda Jump to: navigation, search Tool Summary LAUNCH TOOL Name:...

  14. Compact gas meter assessment. Final report, May 1989-June 1990

    SciTech Connect (OSTI)

    Corliss, J.M.

    1994-06-01

    The overall objective of the Arthur D. Little meter evaluation program was to conduct a comprehensive, comparative evaluation of six compact gas meter concepts to assess their overall near- and long-term commercialization potential, and to recommend to GRI any further developments necessary to assure introduction of compact gas meters into the marketplace.

  15. ECEEE SUMMER STUDY PROCEEDINGS 1991 Communicating `smartness': smart meter

    E-Print Network [OSTI]

    Oxford, University of

    ECEEE SUMMER STUDY PROCEEDINGS 1991 Communicating `smartness': smart meter installers in UK homes Coleraine BT52 1SA Northern Ireland Keywords smart metering, customer feedback, households, energy guid in Northern Ireland. All the participants have been involved in installing smart meters or semi-smart keypad

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

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

  17. 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 p

  18. Chinese demand drives global deforestation Chinese demand drives global deforestation

    E-Print Network [OSTI]

    Reuters June 10, 2007 NGAMBE-TIKAR, Cameroon (Reuters) - From outside, Cameroon's Ngambe-Tikar forest the raw materials for Chinese exports to the West. China needs 5 million cubic meters more of tropical

  19. Demand Relief and Weather Sensitivity in Large California Commercial Office Buildings 

    E-Print Network [OSTI]

    Kinney, S.; Piette, M. A.; Gu, L.; Haves, P.

    2001-01-01

    A great deal of research has examined the weather sensitivity of energy consumption in commercial buildings; however, the recent power crisis in California has given greater importance to peak demand. Several new loadshedding programs have been...

  20. Enhanced Operation Strategies for Air-Conditioning and Lighting Systems Toward Peak Power Reduction for an Office Building in Kuwait 

    E-Print Network [OSTI]

    Alghimlas, F.; Al-Mulla, A.; Maheshwari, G.P.; Al-Nakib, D.

    2012-01-01

    t i o n ( M W h / y ) * 1 0 6 P e a k P o w e r D e m a n d ( M W ) Years Peak power Yearly Electricity Consumption Typical?Power?Demand?Profile?for?Summer?Day 5 2 0 0 5 5 8 0 5 9 6 0 6 3 4 0 6 7 2 0... w er The focus to reduce the power demand during the peak hours Options?to?Reduce?Fossil?Fuel?Consumption? 1. Implement?energy?efficiency?and? conservation?measures?in?buildings?to? reduce?their?demand?for?electricity. 2. Generate...

  1. Smart Meters | OpenEI Community

    Open Energy Info (EERE)

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

  2. Net Metering Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOEDepartment ofProgramImports by Pipeline intosomeofNeilnet metering

  3. Widget:GoalMeter | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw,What Is aDisqusHelper JumpFlashDetectGasMapGoalMeter Jump

  4. The 800-meter sample toroidal field conductor

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S. CoalMexicoConferencePrice (DollarsPortal800-meter sample

  5. Decentralized Control of Aggregated Loads for Demand Response Di Guo, Wei Zhang, Gangfeng Yan, Zhiyun Lin, and Minyue Fu

    E-Print Network [OSTI]

    Zhang, Wei

    Decentralized Control of Aggregated Loads for Demand Response Di Guo, Wei Zhang, Gangfeng Yan of residential responsive loads for vari- ous demand response applications. We propose a general hybrid system and effectively reduce the peak power consumption. I. INTRODUCTION Demand response has the potential to shift

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

    E-Print Network [OSTI]

    California at Berkeley, University of

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

  7. 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.

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

    SciTech Connect (OSTI)

    Piette, Mary Ann; Kiliccote, Sila

    2006-09-01

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

  9. Demand Dispatch-Intelligent

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

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

  10. Revelation on Demand Nicolas Anciaux

    E-Print Network [OSTI]

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

  11. by popular demand: Addiction II

    E-Print Network [OSTI]

    Niv, Yael

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

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

    SciTech Connect (OSTI)

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

    2008-11-19

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

  13. 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.

  14. Chord on Demand Alberto Montresor

    E-Print Network [OSTI]

    Jelasity, Márk

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

  15. Supply Chain Supernetworks Random Demands

    E-Print Network [OSTI]

    Nagurney, Anna

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

  16. Chord on Demand Alberto Montresor

    E-Print Network [OSTI]

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

  17. ERCOT Demand Response Paul Wattles

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

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

  18. Assessment of Demand Response Resource

    E-Print Network [OSTI]

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

  19. Smart Operations of Air-Conditioning and Lighting Systems in Government Buildings for Peak Power Reduction 

    E-Print Network [OSTI]

    Al-Hadban, Y.; Maheshwari, G. P.; Al-Nakib, D.; Al-Mulla, A.; Alasseri, R.

    2008-01-01

    During the summer 2007 smart operation strategies for air-conditioning (A/C) and lighting systems were developed and tested in a number of governmental buildings in Kuwait as one of the solutions to reduce the national peak demand for electrical...

  20. Demand Shifting With Thermal Mass in Large Commercial Buildings:Field Tests, Simulation and Audits

    SciTech Connect (OSTI)

    Xu, Peng; Haves, Philip; Piette, Mary Ann; Zagreus, Leah

    2005-09-01

    The principle of pre-cooling and demand limiting is to pre-cool buildings at night or in the morning during off-peak hours, storing cooling in the building thermal mass and thereby reducing cooling loads and reducing or shedding related electrical demand during the peak periods. Cost savings are achieved by reducing on-peak energy and demand charges. The potential for utilizing building thermal mass for load shifting and peak demand reduction has been demonstrated in a number of simulation, laboratory, and field studies (Braun 1990, Ruud et al. 1990, Conniff 1991, Andresen and Brandemuehl 1992, Mahajan et al. 1993, Morris et al. 1994, Keeney and Braun 1997, Becker and Paciuk 2002, Xu et al. 2003). This technology appears to have significant potential for demand reduction if applied within an overall demand response program. The primary goal associated with this research is to develop information and tools necessary to assess the viability of and, where appropriate, implement demand response programs involving building thermal mass in buildings throughout California. The project involves evaluating the technology readiness, overall demand reduction potential, and customer acceptance for different classes of buildings. This information can be used along with estimates of the impact of the strategies on energy use to design appropriate incentives for customers.

  1. 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.

  2. Installation and Commissioning Automated Demand Response Systems

    SciTech Connect (OSTI)

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

    2008-04-21

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

  3. Modeling and Forecasting Electric Daily Peak Loads

    E-Print Network [OSTI]

    Abdel-Aal, Radwan E.

    for the same data. Two methods are described for forecasting daily peak loads up to one week ahead through, including generator unit commitment, hydro-thermal coordination, short-term maintenance, fuel allocation forecasting accuracies. STLF forecasting covers the daily peak load, total daily energy, and daily load curve

  4. Demand-Aware Price Policy Synthesis and Verification Services for Smart Grids

    E-Print Network [OSTI]

    Tronci, Enrico

    at the same time (peak hour), this may result in an economical damage (both for usage of peak power plants forcing residential end users to cut their power demand. On the other hand, if all users require energy interconnection. The first service, which we call EDN Virtual Tomography (EVT) service, considers the whole EDN

  5. Automated Critical Peak Pricing Field Tests: Program Description and Results

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Xu, Peng

    2006-01-01

    Development for Demand Response Calculation - Findings andStrategies Linking Demand Response and Energy Efficiency.and Communications for Demand Response and Energy Efficiency

  6. The Boson peak in supercooled water

    E-Print Network [OSTI]

    Pradeep Kumar; K. Thor Wikfeldt; Daniel Schlesinger; Lars G. M. Pettersson; H. E. Stanley

    2013-05-19

    We perform extensive molecular dynamics simulations of the TIP4P/2005 model of water to investigate the origin of the Boson peak reported in experiments on supercooled water in nanoconfined pores, and in hydration water around proteins. We find that the onset of the Boson peak in supercooled bulk water coincides with the crossover to a predominantly low-density-like liquid below the Widom line $T_W$. The frequency and onset temperature of the Boson peak in our simulations of bulk water agree well with the results from experiments on nanoconfined water. Our results suggest that the Boson peak in water is not an exclusive effect of confinement. We further find that, similar to other glass-forming liquids, the vibrational modes corresponding to the Boson peak are spatially extended and are related to transverse phonons found in the parent crystal, here ice Ih.

  7. Demand Response Programs, 6. edition

    SciTech Connect (OSTI)

    2007-10-15

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

  8. De Minimis Thresholds for Federal Building Metering Appropriateness

    SciTech Connect (OSTI)

    Henderson, Jordan W.

    2015-03-31

    The U.S. Department of Energy (DOE) is required by statute and Presidential Memorandum to establish guidelines for agencies to meter their Federal buildings for energy (electricity, natural gas, and steam) and water. See 42 U.S.C. § 8253(e). DOE issued guidance in February 2006 on the installation of electric meters in Federal buildings. A recent update to the 2006 guidance accounts for more current metering practices within the Federal Government. The updated metering guidance specifies that all Federal buildings shall be considered “appropriate” for energy or water metering unless identified for potential exclusion. In developing the updated guidance to carry out the statue, Congress also directed DOE to (among other things) establish exclusions from the metering requirements based on the de minimis quantity of energy use of a Federal building, industrial process, or structure. This paper discusses the method used to identify de minimis values.

  9. Method and apparatus for reading meters from a video image

    DOE Patents [OSTI]

    Lewis, Trevor J. (Irwin, PA); Ferguson, Jeffrey J. (North Huntingdon, PA)

    1997-01-01

    A method and system to enable acquisition of data about an environment from one or more meters using video images. One or more meters are imaged by a video camera and the video signal is digitized. Then, each region of the digital image which corresponds to the indicator of the meter is calibrated and the video signal is analyzed to determine the value indicated by each meter indicator. Finally, from the value indicated by each meter indicator in the calibrated region, a meter reading is generated. The method and system offer the advantages of automatic data collection in a relatively non-intrusive manner without making any complicated or expensive electronic connections, and without requiring intensive manpower.

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

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

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

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

    E-Print Network [OSTI]

    Aden, Nathaniel

    2010-01-01

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

  12. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

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

  13. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01

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

  14. Home Network Technologies and Automating Demand Response

    E-Print Network [OSTI]

    McParland, Charles

    2010-01-01

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

  15. Installation and Commissioning Automated Demand Response Systems

    E-Print Network [OSTI]

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

    2008-01-01

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

  16. Coupling Renewable Energy Supply with Deferrable Demand

    E-Print Network [OSTI]

    Papavasiliou, Anthony

    2011-01-01

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

  17. Strategies for Demand Response in Commercial Buildings

    E-Print Network [OSTI]

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

    2006-01-01

    Fully Automated Demand Response Tests in Large Facilities”of Fully Automated Demand Response in Large Facilities”,was coordinated by the Demand Response Research Center and

  18. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01

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

  19. Hawaiian Electric Company Demand Response Roadmap Project

    E-Print Network [OSTI]

    Levy, Roger

    2014-01-01

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

  20. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01

    23 ii Retail Demand Response in SPP List of Figures and10 Figure 3. Demand Response Resources by11 Figure 4. Existing Demand Response Resources by Type of

  1. Demand Response - Policy | Department of Energy

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

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

  2. Demand Response as a System Reliability Resource

    E-Print Network [OSTI]

    Joseph, Eto

    2014-01-01

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

  3. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01

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

  4. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01

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

  5. Insights from Smart Meters: Identifying Specific Actions, Behaviors...

    Energy Savers [EERE]

    and Characteristics That Drive Savings in Behavior-Based Programs Insights from Smart Meters: Identifying Specific Actions, Behaviors, and Characteristics That Drive...

  6. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, Richard P. (Livermore, CA); Paris, Robert D. (San Ramon, CA); Feldman, Mark (Pleasanton, CA)

    1993-01-01

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  7. Energy Secretary Chu Announces Five Million Smart Meters Installed...

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

    TX) project involves deployment of a fully integrated advanced metering system and Web portal access to over 2.2 million customers and installation of advanced monitoring and...

  8. Improvements in Shallow (Two-Meter) Temperature Measurements...

    Open Energy Info (EERE)

    Measurements and Data Interpretation Abstract The Great Basin Center for Geothermal Energy has been working on improvements in shallow (two-meter) temperature surveys in two...

  9. The Need for Essential Consumer Protections: Smart metering proposals...

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

    the move to time-based pricing. August 2010 More Documents & Publications Comments of Baltimore Gas & Electric Company The Need for Essential Consumer Protections: Smart Metering...

  10. The Need for Essential Consumer Protections: Smart Metering Proposals...

    Energy Savers [EERE]

    and the Move to Time-Based Pricing More Documents & Publications Comments of Baltimore Gas & Electric Company The Need for Essential Consumer Protections: Smart metering...

  11. Optimization Online - A Security Framework for Smart Metering with ...

    E-Print Network [OSTI]

    Cristina Rottondi

    2011-12-05

    Dec 5, 2011 ... A Security Framework for Smart Metering with Multiple Data Consumers. Cristina ... This paper proposes a framework for allowing information ...

  12. Smart Meters Helping Oklahoma Consumers Save Hundreds During...

    Office of Environmental Management (EM)

    Consumers Save Hundreds During Summer Heat Smart Meters Helping Oklahoma Consumers Save Hundreds During Summer Heat July 26, 2011 - 4:27pm Addthis Small business owner Steve...

  13. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, R.P.; Paris, R.D.; Feldman, M.

    1993-02-23

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  14. The Intersection of Net Metering and Retail Choice: An Overview...

    Energy Savers [EERE]

    and defined five different theoretical models describing different ways competitive suppliers and utilities provide net metering options for their customers. They then provided...

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

    E-Print Network [OSTI]

    Zhou, Nan

    2012-01-01

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

  16. US electric utility demand-side management, 1994

    SciTech Connect (OSTI)

    NONE

    1995-12-26

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

  17. Shallow (2-meter) temperature surveys in Colorado

    SciTech Connect (OSTI)

    Zehner, Richard E.

    2012-02-01

    Citation Information: Originator: Geothermal Development Associates, Reno, Nevada Publication Date: 2012 Title: Colorado 2m Survey Edition: First Publication Information: Publication Place: Reno Nevada Publisher: Geothermal Development Associates, Reno, Nevada Description: Shallow temperature surveys are useful in early-stage geothermal exploration to delineate surface outflow zones, with the intent to identify the source of upwelling, usually a fault. Detailed descriptions of the 2-meter survey method and equipment design can be found in Coolbaugh et al. (2007) and Sladek et al. (2007), and are summarized here. The survey method was devised to measure temperature as far below the zone of solar influence as possible, have minimal equilibration time, and yet be portable enough to fit on the back of an all-terrain vehicle (ATV); Figure 2). This method utilizes a direct push technology (DPT) technique where 2.3 m long, 0.54” outer diameter hollow steel rods are pounded into the ground using a demolition hammer. Resistance temperature devices (RTD) are then inserted into the rods at 2-meter depths, and allowed to equilibrate for one hour. The temperatures are then measured and recorded, the rods pulled out of the ground, and re-used at future sites. Usually multiple rods are planted over the course of an hour, and then the sampler returns back to the first station, measures the temperatures, pulls the rods, and so on, to eliminate waiting time. At Wagon Wheel Gap, 32 rods were planted around the hot springs between June 20 and July 1, 2012. The purpose was to determine the direction of a possible upflow fault or other structure. Temperatures at 1.5m and 2m depths were measured and recorded in the attribute table of this point shapefile. Several anomalous temperatures suggest that outflow is coming from a ~N60W striking fault or shear zone that contains the quartz-fluorite-barite veins of the adjacent patented mining claims. It should be noted that temperatures at 2m depth vary according to the amount of solar heating from above, as well as possible geothermal heating from below. Spatial Domain: Extent: Top: 4490310.560635 m Left: 150307.008238 m Right: 433163.213617 m Bottom: 4009565.915398 m Contact Information: Contact Organization: Geothermal Development Associates, Reno, Nevada Contact Person: Richard “Rick” Zehner Address: 3740 Barron Way City: Reno State: NV Postal Code: 89511 Country: USA Contact Telephone: 775-737-7806 Spatial Reference Information: Coordinate System: Universal Transverse Mercator (UTM) WGS’1984 Zone 13N False Easting: 500000.00000000 False Northing: 0.00000000 Central Meridian: -105.00000000 Scale Factor: 0.99960000 Latitude of Origin: 0.00000000 Linear Unit: Meter Datum: World Geodetic System 1984 (WGS ’1984) Prime Meridian: Greenwich Angular Unit: Degree Digital Form: Format Name: Shape file

  18. 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...

  19. A perspective on the CMB acoustic peak

    E-Print Network [OSTI]

    T. A. Marriage

    2002-03-11

    CMB angular spectrum measurements suggest a flat universe. This paper clarifies the relation between geometry and the spherical harmonic index of the first acoustic peak ($\\ell_{peak}$). Numerical and analytic calculations show that $\\ell_{peak}$ is approximately a function of $\\Omega_K/\\Omega_M$ where $\\Omega_K$ and $\\Omega_M$ are the curvature ($\\Omega_K > 0$ implies an open geometry) and mass density today in units of critical density. Assuming $\\Omega_K/\\Omega_M \\ll 1$, one obtains a simple formula for $\\ell_{peak}$, the derivation of which gives another perspective on the widely-recognized $\\Omega_M$-$\\Omega_\\Lambda$ degeneracy in flat models. This formula for near-flat cosmogonies together with current angular spectrum data yields familiar parameter constraints.

  20. QER- Comment of Cloud Peak Energy Inc

    Office of Energy Efficiency and Renewable Energy (EERE)

    Dear Ms Pickett Please find attached comments from Cloud Peak Energy as input to the Department of Energy’s Quadrennial Energy Review. If possible I would appreciate a confirmation that this email has been received Thank you.

  1. 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.

  2. Measured Peak Equipment Loads in Laboratories

    SciTech Connect (OSTI)

    Mathew, Paul A.

    2007-09-12

    This technical bulletin documents measured peak equipment load data from 39 laboratory spaces in nine buildings across five institutions. The purpose of these measurements was to obtain data on the actual peak loads in laboratories, which can be used to rightsize the design of HVAC systems in new laboratories. While any given laboratory may have unique loads and other design considerations, these results may be used as a 'sanity check' for design assumptions.

  3. Demand Responsive Lighting: A Scoping Study

    E-Print Network [OSTI]

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-01

    Tables Table 1: Energy efficiency, daily load management andoptimization); peak load management (for daily operations);Operations Peak Load Management (Daily) - TOU Savings - Peak

  4. Supply Chain Supernetworks With Random Demands

    E-Print Network [OSTI]

    Nagurney, Anna

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

  5. Participation through Automation: Fully Automated Critical PeakPricing in Commercial Buildings

    SciTech Connect (OSTI)

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

    2006-06-20

    California electric utilities have been exploring the use of dynamic critical peak prices (CPP) and other demand response programs to help reduce peaks in customer electric loads. CPP is a tariff design to promote demand response. Levels of automation in DR can be defined as follows: Manual Demand Response involves a potentially labor-intensive approach such as manually turning off or changing comfort set points at each equipment switch or controller. Semi-Automated Demand Response involves a pre-programmed demand response strategy initiated by a person via centralized control system. Fully Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. The receipt of the external signal initiates pre-programmed demand response strategies. They refer to this as Auto-DR. This paper describes the development, testing, and results from automated CPP (Auto-CPP) as part of a utility project in California. The paper presents the project description and test methodology. This is followed by a discussion of Auto-DR strategies used in the field test buildings. They present a sample Auto-CPP load shape case study, and a selection of the Auto-CPP response data from September 29, 2005. If all twelve sites reached their maximum saving simultaneously, a total of approximately 2 MW of DR is available from these twelve sites that represent about two million ft{sup 2}. The average DR was about half that value, at about 1 MW. These savings translate to about 0.5 to 1.0 W/ft{sup 2} of demand reduction. They are continuing field demonstrations and economic evaluations to pursue increasing penetrations of automated DR that has demonstrated ability to provide a valuable DR resource for California.

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

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

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

  7. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01

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

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

    Office of Environmental Management (EM)

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

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

    E-Print Network [OSTI]

    Benenson, P.

    2010-01-01

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

  10. Residential Customer Response to Real-time Pricing: The Anaheim Critical Peak Pricing Experiment

    E-Print Network [OSTI]

    Wolak, Frank A.

    2007-01-01

    a special “smart meter” on your home. * This meter willwill install a “smart meter” on your home to keep track of

  11. Virtual Machine Power Metering and Provisioning Aman Kansal, Feng Zhao,

    E-Print Network [OSTI]

    Zhao, Feng

    data centers have led to most new servers providing power usage measurement in hardware and alter- nateVirtual Machine Power Metering and Provisioning Aman Kansal, Feng Zhao, Jie Liu Microsoft Research of them is lack of power metering for virtual machines (VMs). Power man- agement requirements in modern

  12. Optimal Privacy-Preserving Energy Management for Smart Meters

    E-Print Network [OSTI]

    Zhang, Junshan

    Optimal Privacy-Preserving Energy Management for Smart Meters Lei Yang, Xu Chen, Junshan Zhang, Smart Grid, Data Privacy, Load Monitor, Cost Saving, Battery I. INTRODUCTION A. Motivation Smart meters, and H. Vincent Poor School of Electrical, Computer and Energy Engineering, Arizona State University

  13. A Global Personal Energy Meter University of Cambridge Computer Laboratory

    E-Print Network [OSTI]

    Cambridge, University of

    - sumption figures scaled by a predetermined factor for the type of energy used and divided equally amongstA Global Personal Energy Meter Simon Hay University of Cambridge Computer Laboratory Abstract of goods and provision of services. I envisage a personal energy meter which can record and apportion

  14. Smart Meter Deployment Optimization for Efficient Electrical Appliance State Monitoring

    E-Print Network [OSTI]

    Wang, Yongcai

    in such buildings, researches in the field of smart building and smart grid are exploring an efficient energy high costs to the smart meter deploy- ment, data collection and system maintenance. In practiceSmart Meter Deployment Optimization for Efficient Electrical Appliance State Monitoring Xiaohong

  15. Scalable Meter Data Collection in Smart Grids through Message Concatenation

    E-Print Network [OSTI]

    Namboodiri, Vinod

    1 Scalable Meter Data Collection in Smart Grids through Message Concatenation Babak Karimi, Student The information communication and control layer of the smart grid brings about numerous advances, including and the grid operator's control center, as well as between the smart meter and consumer appliances, would

  16. Multiphase pumps and flow meters avoid platform construction

    SciTech Connect (OSTI)

    Elde, J.

    1999-02-01

    One of the newest wrinkles in efficiency in BP`s Eastern Trough Area Project (ETAP) is the system for moving multiphase oil, water and gas fluids from the Machar satellite field to the Marnock Central Processing Facility (CPF). Using water-turbine-driven multiphase pumps and multiphase flow meters, the system moves fluid with no need for a production platform. In addition, BP has designed the installation so it reduces and controls water coning, thereby increasing recoverable reserves. Both subsea multiphase booster stations (SMUBS) and meters grew out of extensive development work and experience at Framo Engineering AS (Framo) in multiphase meters and multiphase pump systems for subsea installation. Multiphase meter development began in 1990 and the first subsea multiphase meters were installed in the East Spar Project in Australia in 1996. By September 1998, the meters had been operating successfully for more than 1 year. A single multiphase meter installed in Marathon`s West Brae Project has also successfully operated for more than 1 year. Subsea meters for ETAP were installed and began operating in July 1998.

  17. Demand Response for Ancillary Services

    SciTech Connect (OSTI)

    Alkadi, Nasr E; Starke, Michael R

    2013-01-01

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

  18. The PEAK experience in South Carolina

    SciTech Connect (OSTI)

    1998-11-01

    The PEAK Institute was developed to provide a linkage for formal (schoolteachers) and nonformal educators (extension agents) with agricultural scientists of Clemson University`s South Carolina Agricultural Experiment Station System. The goal of the Institute was to enable teams of educators and researchers to develop and provide PEAK science and math learning experiences related to relevant agricultural and environmental issues of local communities for both classroom and 4-H Club experiences. The Peak Institute was conducted through a twenty day residential Institute held in June for middle school and high school teachers who were teamed with an Extension agent from their community. These educators participated in hands-on, minds-on sessions conducted by agricultural researchers and Clemson University Cooperative Extension specialists. Participants were given the opportunity to see frontier science being conducted by scientists from a variety of agricultural laboratories.

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

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

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

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

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

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

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01

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

  3. Atmospheric Radiation Measurement (ARM) Data from Steamboat Springs, Colorado, for the Storm Peak Laboratory Cloud Property Validation Experiment (STORMVEX)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    In October 2010, the initial deployment of the second ARM Mobile Facility (AMF2) took place at Steamboat Springs, Colorado, for the Storm Peak Laboratory Cloud Property Validation Experiment (STORMVEX). The objective of this field campaign was to obtain data about liquid and mixed-phase clouds using AMF2 instruments in conjunction with Storm Peak Laboratory (located at an elevation of 3220 meters on Mt. Werner), a cloud and aerosol research facility operated by the Desert Research Institute. STORMVEX datasets are freely available for viewing and download. Users are asked to register with the ARM Archive; the user's email address is used from that time forward as the login name.

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

    SciTech Connect (OSTI)

    NONE

    1997-01-01

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

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

    SciTech Connect (OSTI)

    1997-12-01

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

  6. Optimization of Occupancy Based Demand Controlled Ventilation in Residences

    SciTech Connect (OSTI)

    Mortensen, Dorthe K.; Walker, Iain S.; Sherman, Max H.

    2011-05-01

    Although it has been used for many years in commercial buildings, the application of demand controlled ventilation in residences is limited. In this study we used occupant exposure to pollutants integrated over time (referred to as 'dose') as the metric to evaluate the effectiveness and air quality implications of demand controlled ventilation in residences. We looked at air quality for two situations. The first is that typically used in ventilation standards: the exposure over a long term. The second is to look at peak exposures that are associated with time variations in ventilation rates and pollutant generation. The pollutant generation had two components: a background rate associated with the building materials and furnishings and a second component related to occupants. The demand controlled ventilation system operated at a low airflow rate when the residence was unoccupied and at a high airflow rate when occupied. We used analytical solutions to the continuity equation to determine the ventilation effectiveness and the long-term chronic dose and peak acute exposure for a representative range of occupancy periods, pollutant generation rates and airflow rates. The results of the study showed that we can optimize the demand controlled airflow rates to reduce the quantity of air used for ventilation without introducing problematic acute conditions.

  7. Demand Response for Ancillary Services

    Broader source: Energy.gov [DOE]

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

  8. Physically-based demand modeling 

    E-Print Network [OSTI]

    Calloway, Terry Marshall

    1980-01-01

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

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

    E-Print Network [OSTI]

    Sadeh, Norman M.

    2014-01-01

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

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

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01

    Pacific Gas and Electric power purchase agreement peak timein structure to a power purchase agreement (PPA) that athe need to purchase high-priced power, all customers in a

  11. Seasonality in air transportation demand

    E-Print Network [OSTI]

    Reichard Megwinoff, H?tor Nicolas

    1988-01-01

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

  12. Full Rank Rational Demand Systems

    E-Print Network [OSTI]

    LaFrance, Jeffrey T; Pope, Rulon D.

    2006-01-01

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

  13. 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.

  14. Marketing Demand-Side Management 

    E-Print Network [OSTI]

    O'Neill, M. L.

    1988-01-01

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

  15. Preliminary Assumptions for Natural Gas Peaking

    E-Print Network [OSTI]

    ; adjusted to 2012$, state construction cost index, vintage of cost estimate, scope of estimate to extent's Discussion Aeroderivative Gas Turbine Technology Proposed reference plant and assumptions Preliminary cost Robbins 2 #12;Peaking Power Plant Characteristics 6th Power Plan ($2006) Unit Size (MW) Capital Cost ($/k

  16. Embedded Firmware Diversity for Smart Electric Meters Stephen McLaughlin, Dmitry Podkuiko, Adam Delozier

    E-Print Network [OSTI]

    McDaniel, Patrick Drew

    the near century-old electromechanical meters at- tached to the exteriors of many buildings, smart metersEmbedded Firmware Diversity for Smart Electric Meters Stephen McLaughlin, Dmitry Podkuiko, Adam}@cse.psu.edu Abstract Smart meters are now being aggressively deployed world- wide, with tens of millions of meters

  17. Demand Response Spinning Reserve Demonstration

    SciTech Connect (OSTI)

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

    2007-05-01

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

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

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01

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

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

    E-Print Network [OSTI]

    Mares, K.C.

    2010-01-01

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

  20. Optimal Demand Response and Power Flow

    E-Print Network [OSTI]

    Willett, Rebecca

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

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

    E-Print Network [OSTI]

    Zhou, Nan

    2012-01-01

    vis- à-vis lowering electricity demand), as efficiencygce/kWh) in 2050 Total electricity demand reaches 9100 TWhin 2050 Total electricity demand reaches 7,764 TWh in 2050

  2. Value creation and value capture of advanced electricity meter information

    E-Print Network [OSTI]

    Oesterlin, Ulf

    2011-01-01

    Advanced or smart metering has been a hot topic in the electricity community for several years. Despite the excitement about the technology, few business cases are actually able to justify the investment cost. One reason ...

  3. How to Read Residential Electric and Natural Gas Meters | Department...

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

    courtesy of iStockphotofstockfoto You can read your own meters to help monitor your electric or gas energy use. During the heating season, your energy use should be compared...

  4. 25 years ago: the official farewell to the meter

    E-Print Network [OSTI]

    Thomas Schucker

    2008-10-20

    On october 21st 1983 took place in S\\`evres on the western outskirts of Paris the official funeral of the meter. With it the notion of distance as a physical observable was buried.

  5. San Antonio City Public Service (CPS Energy)- Net Metering

    Broader source: Energy.gov [DOE]

    Net metering is available to customers of CPS Energy. There is no aggregate capacity limit or maximum system size. There are also no commissioning fees or facilities charges for customers.

  6. Application for a Certificate of Public Good for Net Metered...

    Open Energy Info (EERE)

    for a Certificate of Public Good for Net Metered Power Systems that are Non-Photovoltaic Systems Up to 150 kW (AC) in Capacity Jump to: navigation, search OpenEI Reference...

  7. Down to the Meter: Localized Vehicle Pollution Matters

    E-Print Network [OSTI]

    Houston, Douglas; Wu, Jun; Ong, Paul; Winer, Arthur

    2006-01-01

    to Near-Roadway Vehicle Pollution,” American Journal ofthe Meter: Localized Vehicle Pollution Matters B Y D O U G Lto confront vehicle-related pollution are proving to be

  8. ARRA Program Celebrates Milestone 600,000 Smart Meter Installations

    Broader source: Energy.gov [DOE]

    On April 11, 2012, DOE Recovery Act funding recipient Sacramento Municipal Utility District (SMUD) celebrated a major milestone in the development of a regional smart grid in California: the installation of over 600,000 smart meters.

  9. Down to the Meter: Localized Vehicle Pollution Matters

    E-Print Network [OSTI]

    Houston, Douglas; Wu, Jun; Ong, Paul; Winer, Arthur

    2006-01-01

    Near-Roadway Vehicle Pollution,” American Journal of Publicfor Vehicle-Related Air Pollution Exposure in Minority andMeter: Localized Vehicle Pollution Matters B Y D O U G L A S

  10. CBEI - Virtual Refrigerant Charge Sensing and Load Metering

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

    (system definition) Accomplishments - Water-Side Load Metering Swope School of Music Cooling Season Results (AHU-7) July15 - July 21, 2014 (Period 2) Daily -2.6% 2.0%...

  11. Shared Signals: Using Existing Facility Meters for Energy Savings Verification 

    E-Print Network [OSTI]

    McBride, J. R.; Bohmer, C. J.; Price, S. D.; Carlson, K.; Lopez, J.

    1997-01-01

    This paper reviews and summarizes techniques for using or sharing signals from existing facility and utility meters for the purpose of verifying energy savings from industrial, institutional and large commercial energy conservation projects...

  12. Temperature Effect in Multiphase Flow Meter Using Slotted Orifice Plate 

    E-Print Network [OSTI]

    Sihombing, Dohar Jono

    2015-04-30

    Multiphase flow metering is one of the major focuses to develop in oil and gas industries. A combination of slotted orifice plate and electrical impedance technique was investigated in order to provide further development ...

  13. An Agent Based Simulation of Smart Metering Technology Adoption

    E-Print Network [OSTI]

    Zhang, Tao; Nuttall, William J.

    simultaneously), micro-hydro, micro-wind and photovoltaics. The benefits of wind, solar and hydro micro-generation are the zero fuel cost and that the technologies are carbon free. The development of micro-generation can potentially produce a third of a... /behavioural theory. The paper is comprised of six sections. The second section describes smart metering technology and its current situation of adoption. The third section describes our agent-based simulation model of smart metering technology adoption...

  14. Smart-Metering for Monitoring Building Power Distribution Network using Instantaneous Phasor Computations of Electrical Signals

    E-Print Network [OSTI]

    K.R., Krishnanand

    2013-01-01

    efficient operation of a smart meter network . in Industrialpolicies and case studies in smart metering . in Power andG.B. Huitema. Good standards for smart meters . in European

  15. REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022

    E-Print Network [OSTI]

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

  16. CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST

    E-Print Network [OSTI]

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

  17. CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST

    E-Print Network [OSTI]

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

  18. Demand Response as a System Reliability Resource

    E-Print Network [OSTI]

    Joseph, Eto

    2014-01-01

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

  19. Central peaking of magnetized gas discharges

    SciTech Connect (OSTI)

    Chen, Francis F. [Electrical Engineering Department, University of California, Los Angeles, California 90095 (United States)] [Electrical Engineering Department, University of California, Los Angeles, California 90095 (United States); Curreli, Davide [Department of Nuclear, Plasma and Radiological Engineering, University of Illinois at Urbana Champaign, Urbana, Illinois 61801 (United States)] [Department of Nuclear, Plasma and Radiological Engineering, University of Illinois at Urbana Champaign, Urbana, Illinois 61801 (United States)

    2013-05-15

    Partially ionized gas discharges used in industry are often driven by radiofrequency (rf) power applied at the periphery of a cylinder. It is found that the plasma density n is usually flat or peaked on axis even if the skin depth of the rf field is thin compared with the chamber radius a. Previous attempts at explaining this did not account for the finite length of the discharge and the boundary conditions at the endplates. A simple 1D model is used to focus on the basic mechanism: the short-circuit effect. It is found that a strong electric field (E-field) scaled to electron temperature T{sub e}, drives the ions inward. The resulting density profile is peaked on axis and has a shape independent of pressure or discharge radius. This “universal” profile is not affected by a dc magnetic field (B-field) as long as the ion Larmor radius is larger than a.

  20. Desert Peak EGS Project | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 20153Danielthrough theKDesert Peak EGS Project DOE

  1. Peak power tracking for a solar buck charger

    E-Print Network [OSTI]

    Cohen, Jeremy Michael, M. Eng. Massachusetts Institute of Technology

    2010-01-01

    This thesis discusses the design, implementation, and testing of a buck converter with peak power tracking. The peak power tracker uses a perturb and observe algorithm to actively track the solar panel's peak power point ...

  2. An alternative interpretation for cosmic ray peaks

    E-Print Network [OSTI]

    Kim, Doojin

    2015-01-01

    We propose an alternative mechanism based upon dark matter (DM) interpretation for anomalous peak signatures in cosmic ray measurements, assuming an extended dark sector with two DM species. This is contrasted with previous effort to explain various line-like cosmic-ray excesses in the context of DM models where the relevant DM candidate directly annihilates into Standard Model (SM) particles. The heavier DM is assumed to annihilate to an on-shell intermediate state. As the simplest choice, it decays directly into the lighter DM along with an unstable particle which in turn decays to a pair of SM states corresponding to the interesting cosmic anomaly. We show that a sharp continuum energy peak can be readily generated under the proposed DM scenario, depending on dark sector particle mass spectra. Remarkably, such a peak is robustly identified as half the mass of the unstable particle. Furthermore, other underlying mass parameters are analytically related to the shape of energy spectrum. We apply this idea to ...

  3. Sub-metering to Electricity Use in Large-scale Commercial Buildings 

    E-Print Network [OSTI]

    Yuan, W.

    2006-01-01

    -metering and statistics ???? Method to actualize sub-metering ???? Practice??Project example ???? Use of data??Analysis Software Sub-metering and statistics to electricity use in commercial buildings 3 Situation?? 4 types of large-scale commercial building Shopping mall... in commercial buildings ???? Significanceof sub-metering and statistics ???? Method to actualize sub-metering ???? Practice??Project example ???? Use of data??Analysis Software Sub-metering and statistics to electricity use in commercial buildings 8 Method...

  4. OFF-SHORE WIND AND GRID-CONNECTED PV: HIGH PENETRATION PEAK SHAVING FOR NEW YORK CITY

    E-Print Network [OSTI]

    Perez, Richard R.

    OFF-SHORE WIND AND GRID-CONNECTED PV: HIGH PENETRATION PEAK SHAVING FOR NEW YORK CITY Richard Perez-shore wind and PV generation using the city of New York as a test case. While wind generation is not known one year's worth of hourly site & time-specific data including electrical demand PV and off-shore wind

  5. Exponential Communication Ine ciency of Demand Queries

    E-Print Network [OSTI]

    Sandholm, Tuomas W.

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

  6. 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...

  7. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

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

  8. California Energy Demand Scenario Projections to 2050

    E-Print Network [OSTI]

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

    2008-01-01

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

  9. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

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

  10. Supply chain planning decisions under demand uncertainty

    E-Print Network [OSTI]

    Huang, Yanfeng Anna

    2008-01-01

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

  11. Coordination of Energy Efficiency and Demand Response

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

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

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

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

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

  13. Demand Response Programs Oregon Public Utility Commission

    E-Print Network [OSTI]

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

  14. PHY and MAC Layer Design of Hybrid Spread Spectrum Based Smart Meter Network

    SciTech Connect (OSTI)

    Kuruganti, Phani Teja

    2012-01-01

    The smart grid is a combined process of revitalizing the traditional power grid applications and introducing new applications to improve the efficiency of power generation, transmission and distribution. This can be achieved by leveraging advanced communication and networking technologies. Therefore the selection of the appropriate communication technology for different smart grid applications has been debated a lot in the recent past. After comparing different possible technologies, a recent research study has arrived at a conclusion that the 3G cellular technology is the right choice for distribution side smart grid applications like smart metering, advanced distribution automation and demand response management system. In this paper, we argue that the current 3G/4G cellular technologies are not an appropriate choice for smart grid distribution applications and propose a Hybrid Spread Spectrum (HSS) based Advanced Metering Infrastructure (AMI) as one of the alternatives to 3G/4G technologies. We present a preliminary PHY and MAC layer design of a HSS based AMI network and evaluate their performance using matlab and NS2 simulations. Also, we propose a time hierarchical scheme that can significantly reduce the volume of random access traffic generated during blackouts and the delay in power outage reporting.

  15. Turkey's energy demand and supply

    SciTech Connect (OSTI)

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

    2009-07-01

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

  16. 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.

  17. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

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

  18. Metering Best Practices. A Guide to Achieving Utility Resource Efficiency, Release 3.0

    SciTech Connect (OSTI)

    Parker, Steven A.; Hunt, W. D.; McMordie Stoughton, Kate; Boyd, Brian K.; Fowler, Kimberly M.; Koehler, Theresa M.; Sandusky, William F.; Sullivan, Greg P.; Pugh, Ray

    2015-04-05

    DOE FEMP guide for metering best practices aligned with the DOE Metering Guidance revision required by the 12/2013 Presidential Memo.

  19. Using Wireless Power Meters to Measure Energy Use of Miscellaneous and Electronic Devices in Buildings

    E-Print Network [OSTI]

    Brown, Richard

    2012-01-01

    a High-Fidelity Wireless Building Energy Auditing Network.Using Wireless Power Meters to Measure Energy Use ofUsing Wireless Power Meters to Measure Energy Miscellaneous

  20. Nissan North America: How Sub-Metering Changed the Way a Plant...

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

    Smyrna wireless infrastructure has allowed the energy team to study the implementation of wireless energy meters. This flexibility could enable cost-effective energy metering at...

  1. Using Wireless Power Meters to Measure Energy Use of Miscellaneous and Electronic Devices in Buildings

    E-Print Network [OSTI]

    Brown, Richard

    2012-01-01

    with a High-Fidelity Wireless Building Energy AuditingN ATIONAL L ABORATORY Using Wireless Power Meters to Measureopportunity employer. Using Wireless Power Meters to Measure

  2. Smart-Metering for Monitoring Building Power Distribution Network using Instantaneous Phasor Computations of Electrical Signals

    E-Print Network [OSTI]

    K.R., Krishnanand

    2013-01-01

    Smart-Metering for Monitoring Building Power Distributionimplementable for smart-meters for a building. Eachcontrol node of a building so as to make smart decisions.

  3. Retail Demand Response in Southwest Power Pool

    SciTech Connect (OSTI)

    Bharvirkar, Ranjit; Heffner, Grayson; Goldman, Charles

    2009-01-30

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

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

    SciTech Connect (OSTI)

    Kiliccote, Sila; Piette, Mary Ann; Mathieu, Johanna; Parrish, Kristen

    2010-05-14

    California is a leader in automating demand response (DR) to promote low-cost, consistent, and predictable electric grid management tools. Over 250 commercial and industrial facilities in California participate in fully-automated programs providing over 60 MW of peak DR savings. This paper presents a summary of Open Automated DR (OpenADR) implementation by each of the investor-owned utilities in California. It provides a summary of participation, DR strategies and incentives. Commercial buildings can reduce peak demand from 5 to 15percent with an average of 13percent. Industrial facilities shed much higher loads. For buildings with multi-year savings we evaluate their load variability and shed variability. We provide a summary of control strategies deployed, along with costs to install automation. We report on how the electric DR control strategies perform over many years of events. We benchmark the peak demand of this sample of buildings against their past baselines to understand the differences in building performance over the years. This is done with peak demand intensities and load factors. The paper also describes the importance of these data in helping to understand possible techniques to reach net zero energy using peak day dynamic control capabilities in commercial buildings. We present an example in which the electric load shape changed as a result of a lighting retrofit.

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

    SciTech Connect (OSTI)

    Zhou, Nan; Fridley, David G.; McNeil, Michael; Zheng, Nina; Ke, Jing; Levine, Mark

    2011-05-01

    As a result of soaring energy demand from a staggering pace of economic growth and the related growth of energy-intensive industry, China overtook the United States to become the world's largest contributor to CO{sub 2} emissions in 2007. At the same time, China has taken serious actions to reduce its energy and carbon intensity by setting both short-term energy intensity reduction goal for 2006 to 2010 as well as long-term carbon intensity reduction goal for 2020. This study focuses on a China Energy Outlook through 2050 that assesses the role of energy efficiency policies in transitioning China to a lower emission trajectory and meeting its intensity reduction goals. In the past years, LBNL has established and significantly enhanced the China End-Use Energy Model based on the diffusion of end-use technologies and other physical drivers of energy demand. This model presents an important new approach for helping understand China's complex and dynamic drivers of energy consumption and implications of energy efficiency policies through scenario analysis. A baseline ('Continued Improvement Scenario') and an alternative energy efficiency scenario ('Accelerated Improvement Scenario') have been developed to assess the impact of actions already taken by the Chinese government as well as planned and potential actions, and to evaluate the potential for China to control energy demand growth and mitigate emissions. It is a common belief that China's CO{sub 2} emissions will continue to grow throughout this century and will dominate global emissions. The findings from this research suggest that this will not likely be the case because of saturation effects in appliances, residential and commercial floor area, roadways, railways, fertilizer use, and urbanization will peak around 2030 with slowing population growth. The baseline and alternative scenarios also demonstrate that the 2020 goals can be met and underscore the significant role that policy-driven energy efficiency improvements will play in carbon mitigation along with a decarbonized power supply through greater renewable and non-fossil fuel generation.

  6. Demand Response and Energy Efficiency 

    E-Print Network [OSTI]

    2009-01-01

    stream_source_info ESL-IC-09-11-05.pdf.txt stream_content_type text/plain stream_size 14615 Content-Encoding ISO-8859-1 stream_name ESL-IC-09-11-05.pdf.txt Content-Type text/plain; charset=ISO-8859-1 Demand Response... 4 An Innovative Solution to Get the Ball Rolling ? Demand Response (DR) ? Monitoring Based Commissioning (MBCx) EnerNOC has a solution involving two complementary offerings. ESL-IC-09-11-05 Proceedings of the Ninth International Conference...

  7. Components of Congestion: Delay from Incidents, Special Events, Lane Closures, Weather, Potential Ramp Metering Gain, and Excess Demand

    E-Print Network [OSTI]

    Kwon, Jaimyoung; Mauch, Michael; Varaiya, Pravin

    2006-01-01

    Events, Lane Closures, Weather, Potential Ramp Meteringlane closures, and adverse weather; the potential reductionclosures; and adverse weather. Applied to a 45-mi section of

  8. Components of Congestion: Delay from Incidents, Special Events, Lane Closures, Weather, Potential Ramp Metering Gain, and Excess Demand

    E-Print Network [OSTI]

    Kwon, Jaimyoung; Mauch, Michael; Varaiya, Pravin

    2006-01-01

    d) FIGURE 1 Congestion pie chart for four scenarios on I-in easily understood pie charts, like those in Figure 1.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 20153Daniel BoffDepartment ofConditionDelmarva Power - Green

  10. Strategies for Demand Response in Commercial Buildings

    E-Print Network [OSTI]

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

    2006-01-01

    when called to do so. Daily Peak Load Management: Dailypeak load management is done in many buildings to minimizeimplement daily peak load management. Decisions about when

  11. First symposium on safety and standardisation of ultrasound in obstetrics 0 G. KOSSOFFand S. B. BARNETT 101 peak positive and peak negative acoustic pressure

    E-Print Network [OSTI]

    Illinois at Urbana-Champaign, University of

    . BARNETT 101 peak positive and peak negative acoustic pressure (P' and a-) location of both of the peak

  12. Pilot Peak Geothermal Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPIProtectio1975) | Open EnergyPhoenicia,Creek,Pilgrim Hot SpringsPillow,Peak

  13. Mt Peak Utility | Open Energy Information

    Open Energy Info (EERE)

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

  14. Revelation on Demand Nicolas Anciaux

    E-Print Network [OSTI]

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

  15. Demand Response Providing Ancillary Services

    E-Print Network [OSTI]

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

  16. 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.

  17. Water demand management in Kuwait

    E-Print Network [OSTI]

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

    2006-01-01

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

  18. On-demand data broadcasting 

    E-Print Network [OSTI]

    Kothandaraman, Kannan

    1998-01-01

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

  19. Automated Demand Response Opportunities in Wastewater Treatment Facilities

    E-Print Network [OSTI]

    Thompson, Lisa

    2008-01-01

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

  20. Northwest Open Automated Demand Response Technology Demonstration Project

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01

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