National Library of Energy BETA

Sample records for demand meter commercial

  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. 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

  4. 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

  5. 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...

  6. Strategies for Marketing and Driving Demand for Commercial Financing...

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

    Strategies for Marketing and Driving Demand for Commercial Financing Products Strategies for Marketing and Driving Demand for Commercial Financing Products Better Buildings...

  7. 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...

  8. Strategies for Marketing and Driving Demand for Commercial Financing...

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

    Financing and Commercial Peer Exchange Call: Strategies for Marketing and Driving Demand for Commercial Financing Products, Call Slides and Discussion Summary, February 2, 2012....

  9. 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

  10. 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 

  11. EnerNOC Inc. Commercial & Industrial Demand Response

    E-Print Network [OSTI]

    © EnerNOC Inc. Commercial & Industrial Demand Response: An Overview of the Utility/Aggregator Business Model Pacific Northwest Demand Response Project April 28, 2011 #12;22 Agenda Introduction Ener #12;77 Whos EnerNOC? Market Leader in C&I Demand Response and Industrial Energy Efficiency More than

  12. 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.

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

    E-Print Network [OSTI]

    Piette, Mary Ann; Kiliccote, Sila

    2006-01-01

    Energy. “Benefits of Demand Response in Electricity MarketsEnergy Efficiency and Demand Response?7 3.1.Demand Response in Commercial

  14. 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.

  15. 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

    4 9 . Piette et at Automated Demand Response Strategies andDynamic Controls for Demand Response in New and ExistingFully Automated Demand Response Tests in Large Facilities"

  16. 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

  17. CO2 MONITORING FOR DEMAND CONTROLLED VENTILATION IN COMMERCIAL BUILDINGS

    SciTech Connect (OSTI)

    Fisk, William J.; Sullivan, Douglas P.; Faulkner, David; Eliseeva, Ekaterina

    2010-03-17

    Carbon dioxide (CO{sub 2}) sensors are often deployed in commercial buildings to obtain CO{sub 2} data that are used, in a process called demand-controlled ventilation, to automatically modulate rates of outdoor air ventilation. The objective is to keep ventilation rates at or above design specifications and code requirements and also to save energy by avoiding excessive ventilation rates. Demand controlled ventilation is most often used in spaces with highly variable and sometime dense occupancy. Reasonably accurate CO{sub 2} measurements are needed for successful demand controlled ventilation; however, prior research has suggested substantial measurement errors. Accordingly, this study evaluated: (a) the accuracy of 208 CO{sub 2} single-location sensors located in 34 commercial buildings, (b) the accuracy of four multi-location CO{sub 2} measurement systems that utilize tubing, valves, and pumps to measure at multiple locations with single CO{sub 2} sensors, and (c) the spatial variability of CO{sub 2} concentrations within meeting rooms. The field studies of the accuracy of single-location CO{sub 2} sensors included multi-concentration calibration checks of 90 sensors in which sensor accuracy was checked at multiple CO{sub 2} concentrations using primary standard calibration gases. From these evaluations, average errors were small, -26 ppm and -9 ppm at 760 and 1010 ppm, respectively; however, the averages of the absolute values of error were 118 ppm (16%) and 138 ppm (14%), at concentrations of 760 and 1010 ppm, respectively. The calibration data are generally well fit by a straight line as indicated by high values of R{sup 2}. The Title 24 standard specifies that sensor error must be certified as no greater than 75 ppm for a period of five years after sensor installation. At 1010 ppm, 40% of sensors had errors greater than {+-}75 ppm and 31% of sensors has errors greater than {+-}100 ppm. At 760 ppm, 47% of sensors had errors greater than {+-}75 ppm and 37% of sensors had errors greater than {+-}100 ppm. A significant fraction of sensors had errors substantially larger than 100 ppm. For example, at 1010 ppm, 19% of sensors had an error greater than 200 ppm and 13% of sensors had errors greater than 300 ppm. The field studies also included single-concentration calibration checks of 118 sensors at the concentrations encountered in the buildings, which were normally less than 500 ppm during the testing. For analyses, these data were combined with data from the calibration challenges at 510 ppm obtained during the multi-concentration calibration checks. For the resulting data set, the average error was 60 ppm and the average of the absolute value of error was 154 ppm. Statistical analyses indicated that there were statistically significant differences between the average accuracies of sensors from different manufacturers. Sensors with a 'single lamp single wavelength' design tended to have a statistically significantly smaller average error than sensors with other designs except for 'single lamp dual wavelength' sensors, which did not have a statistically significantly lower accuracy. Sensor age was not consistently a statistically significant predictor of error.

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

    SciTech Connect (OSTI)

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

    2003-04-18

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

  19. 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.

  20. 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.

  1. 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...

  2. Model documentation report: Commercial Sector Demand Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    1998-01-01

    This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. The NEMS Commercial Sector Demand Module is a simulation tool based upon economic and engineering relationships that models commercial sector energy demands at the nine Census Division level of detail for eleven distinct categories of commercial buildings. Commercial equipment selections are performed for the major fuels of electricity, natural gas, and distillate fuel, for the major services of space heating, space cooling, water heating, ventilation, cooking, refrigeration, and lighting. The algorithm also models demand for the minor fuels of residual oil, liquefied petroleum gas, steam coal, motor gasoline, and kerosene, the renewable fuel sources of wood and municipal solid waste, and the minor services of office equipment. Section 2 of this report discusses the purpose of the model, detailing its objectives, primary input and output quantities, and the relationship of the Commercial Module to the other modules of the NEMS system. Section 3 of the report describes the rationale behind the model design, providing insights into further assumptions utilized in the model development process to this point. Section 3 also reviews alternative commercial sector modeling methodologies drawn from existing literature, providing a comparison to the chosen approach. Section 4 details the model structure, using graphics and text to illustrate model flows and key computations.

  3. Pilot Testing of Commercial Refrigeration-Based Demand Response

    SciTech Connect (OSTI)

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

    2015-10-08

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

  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. 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...

  6. Demand relief and weather sensitivity in large California commercial office buildings

    SciTech Connect (OSTI)

    Kinney, Satkartar; Piette, Mary Ann; Gu, Lixing; Haves, Philip

    2001-05-01

    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 load-shedding programs have been implemented or are under consideration. Historically, the target customers have been large industrial users who can reduce the equivalent load of several large office buildings. While the individual load reduction from an individual office building may be less significant, there is ample opportunity for load reduction in this area. The load reduction programs and incentives for industrial customers may not be suitable for commercial building owners. In particular, industrial customers are likely to have little variation in load from day to day. Thus a robust baseline accounting for weather variability is required to provide building owners with realistic targets that will encourage them to participate in load shedding programs.

  7. 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

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

    E-Print Network [OSTI]

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

    2006-01-01

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

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

    E-Print Network [OSTI]

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

    2007-01-01

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

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

    E-Print Network [OSTI]

    Piette, Mary Ann; Kiliccote, Sila

    2006-01-01

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

  11. 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

  12. 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

    of Program Participation Rates on Demand Response MarketTable 3-1. Methods of Estimating Demand Response PenetrationDemand Response

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

    E-Print Network [OSTI]

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

    2006-01-01

    of Fully Automated Demand Response in Large Facilities”NYSERDA) and the Demand Response Research Center (LLC “Working Group 2 Demand Response Program Evaluation –

  14. Findings from Seven Years of Field Performance Data for Automated Demand Response in Commercial Buildings

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01

    Open Automated Demand Response Demonstration Project” LBNL-2009a). “Open Automated Demand Response Communications inand Actions for Industrial Demand Response in California. ”

  15. Demand Shifting with Thermal Mass in Large Commercial Buildings in a California Hot Climate Zone

    E-Print Network [OSTI]

    Xu, Peng

    2010-01-01

    National Laboratory/Energy Commission PIER Demand Response ResearchNational Laboratory/Energy Commission PIER Demand Response Research

  16. Model documentation report: Commercial Sector Demand Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1995-02-01

    This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. This report serves three purposes. First, it is a reference document providing a detailed description for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, section 57(b)(1)). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

  17. Machine to machine (M2M) technology in demand responsive commercial buildings

    SciTech Connect (OSTI)

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

    2004-08-01

    Machine to Machine (M2M) is a term used to describe the technologies that enable computers, embedded processors, smart sensors, actuators and mobile devices to communicate with one another, take measurements and make decisions--often without human intervention. M2M technology was applied to five commercial buildings in a test. The goal was to reduce electric demand when a remote price signal rose above a predetermine price. In this system, a variable price signal was generated from a single source on the Internet and distributed using the meta-language, XML (Extensible Markup Language). Each of five commercial building sites monitored the common price signal and automatically shed site-specific electric loads when the price increased above predetermined thresholds. Other than price signal scheduling, which was set up in advance by the project researchers, the system was designed to operate without human intervention during the two-week test period. Although the buildings responded to the same price signal, the communication infrastructures used at each building were substantially different. This study provides an overview of the technologies used at each building site, the price generator/server, and each link in between. Network architecture, security, data visualization and site-specific system features are characterized. The results of the test are discussed, including: functionality at each site, measurement and verification techniques, and feedback from energy managers and building operators. Lessons learned from the test and potential implications for widespread rollout are provided.

  18. 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

  19. Demand relief and weather sensitivity in large California commercial office buildings

    E-Print Network [OSTI]

    Kinney, Satkartar; Piette, Mary Ann; Gu, Lixing; Haves, Philip

    2001-01-01

    TX Demand Relief and Weather Sensitivity in Large California76SF00098. Demand Relief and Weather Sensitivity in Largeof research has examined the weather sensitivity of energy

  20. Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings

    E-Print Network [OSTI]

    Piette, Mary Ann

    2010-01-01

    response, automation, commercial, industrial buildings, peakautomation system design. Auto-DR for commercial and industrialautomation server renamed as the DRAS. This server was operated at a secure industrial

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

    SciTech Connect (OSTI)

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

    2007-05-01

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

  2. 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.

  3. Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings

    E-Print Network [OSTI]

    Piette, Mary Ann

    2010-01-01

    such as CEC, EPRI, Building Automation Control Network (is the lack of automation of building systems. Most DRresponse, automation, commercial, industrial buildings, peak

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

    E-Print Network [OSTI]

    Piette, Mary Ann; Kiliccote, Sila

    2006-01-01

    Study in Energy Efficiency in Buildings August Nationalelectric loads in buildings: energy efficiency (for steady-and Energy Efficiency Options Using Commercial Building

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

    E-Print Network [OSTI]

    George, S. S.

    1988-01-01

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

  9. 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

    43 Appendices: Table D-1. Churn Rates for ISO-NE and NYISOyears, along with “churn rates”—the percentage of customersprograms. Table D-1. Churn Rates for ISO-NE and NYISO Demand

  10. Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings

    SciTech Connect (OSTI)

    Piette, Mary Ann; Ghatikar, Girish; Kiliccote, Sila; Watson, David; Koch, Ed; Hennage, Dan

    2009-05-01

    This paper describes the concept for and lessons from the development and field-testing of an open, interoperable communications infrastructure to support automated demand response (auto-DR). Automating DR allows greater levels of participation, improved reliability, and repeatability of the DR in participating facilities. This paper also presents the technical and architectural issues associated with auto-DR and description of the demand response automation server (DRAS), the client/server architecture-based middle-ware used to automate the interactions between the utilities or any DR serving entity and their customers for DR programs. Use case diagrams are presented to show the role of the DRAS between utility/ISO and the clients at the facilities.

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

    SciTech Connect (OSTI)

    Wenzel, Mike

    2013-10-14

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

  12. 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.

  13. Electricity Demand of PHEVs Operated by Private Households and Commercial Fleets: Effects of Driving and Charging Behavior

    SciTech Connect (OSTI)

    John Smart; Matthew Shirk; Ken Kurani; Casey Quinn; Jamie Davies

    2010-11-01

    Automotive and energy researchers have made considerable efforts to predict the impact of plug-in hybrid vehicle (PHEV) charging on the electrical grid. This work has been done primarily through computer modeling and simulation. The US Department of Energy’s (DOE) Advanced Vehicle Testing Activity (AVTA), in partnership with the University of California at Davis’s Institute for Transportation Stuides, have been collecting data from a diverse fleet of PHEVs. The AVTA is conducted by the Idaho National Laboratory for DOE’s Vehicle Technologies Program. This work provides the opportunity to quantify the petroleum displacement potential of early PHEV models, and also observe, rather than simulate, the charging behavior of vehicle users. This paper presents actual charging behavior and the resulting electricity demand from these PHEVs operating in undirected, real-world conditions. Charging patterns are examined for both commercial-use and personal-use vehicles. Underlying reasons for charging behavior in both groups are also presented.

  14. 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

  15. 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...

  16. 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...

  17. 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 ...

  18. 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...

  19. 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...

  20. Commercial Sector Demand Module

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul Aug Sep3,118,592 3,102,59399 2006-20105)

  1. 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.

  2. 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

  3. 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

  4. 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

  5. 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,...

  6. 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...

  7. Measuring retrofit savings in commercial buildings with pre-retrofit utility billing data and post-retrofit sub-metered data 

    E-Print Network [OSTI]

    Liu, Yue

    1993-01-01

    Methodologies to measure energy and dollar savings resulting from energy conserving retrofits in commercial buildings when both pre-retrofit and post-retrofit monitored data are available at an hourly or daily level have ...

  8. 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

  9. Commercial and Industrial Base Intermittent Resource Management Pilot

    E-Print Network [OSTI]

    Kiliccote, Sila

    2011-01-01

    2:1002–1004. FERC. Demand Response and Advanced Metering.and Open Automated Demand Response in Wastewater Treatmentand Open Automated Demand Response in Refrigerated

  10. 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

  11. 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

  12. 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.

  13. 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.

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

    E-Print Network [OSTI]

    Piette, Mary Ann

    2014-01-01

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

  15. 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....

  16. 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...

  17. Commercial & Industrial Demand Response

    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 the following comments response NAESB Business Practice

  18. Climate, extreme heat, and electricity demand in California

    E-Print Network [OSTI]

    Miller, N.L.

    2008-01-01

    Peirson. 1998. Residential energy demand and the interactionresponse of residential cooling energy demand to climaterise in residential and commercial electricity demand can be

  19. Linking Continuous Energy Management and Open Automated Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2009-01-01

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

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

    E-Print Network [OSTI]

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

    2004-01-01

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

  1. 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

  2. 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...

  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. 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.

  5. 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.

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

    SciTech Connect (OSTI)

    1995-04-01

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

  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. 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...

  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. 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.

  14. 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...

  15. ConEd (Electric)- Commercial and Industrial Energy Efficiency Program

    Broader source: Energy.gov [DOE]

    The Commercial and Industrial Equipment Rebate and Commercial and Industrial Custom Efficiency Programs offer incentives to directly metered electric customers in good standing who contribute to...

  16. Consideration of the environmental impact of aircraft has become critical in commercial aviation. The continued growth of air traffic has caused increasing demands to reduce aircraft emissions,

    E-Print Network [OSTI]

    Papalambros, Panos

    aviation. The continued growth of air traffic has caused increasing demands to reduce aircraft emissions airframe, engine and mission. The environmental metrics considered in this investigation are CO2 emissions -- which are proportional to fuel burn -- and landing- takeoff NOx emissions. The results are compared

  17. 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.

  18. 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...

  19. 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.

  20. Modeling the Capacity and Emissions Impacts of Reduced Electricity Demand. Part 1. Methodology and Preliminary Results.

    E-Print Network [OSTI]

    Coughlin, Katie

    2013-01-01

    Impacts of Reduced Electricity Demand. Part 1. MethodologyImpacts of Reduced Electricity Demand. Part 1. MethodologyFigure 3: Commercial electricity demand with and without the

  1. Modeling the Capacity and Emissions Impacts of Reduced Electricity Demand. Part 1. Methodology and Preliminary Results.

    E-Print Network [OSTI]

    Coughlin, Katie

    2013-01-01

    pdf. ———. 2011b. Residential Demand Module of the Nationaland the Commercial and Residential Demand Modules (DOE EIAcommercial and residential electricity demand projections

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

    E-Print Network [OSTI]

    Ghatikar, Girish

    2014-01-01

    to  Automated  Demand   Response  and  the  OpenADR  ®  Automated  Demand  Response  Program.   https://Data  for  Automated  Demand  Response  in  Commercial  

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

    E-Print Network [OSTI]

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

    2008-01-01

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

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

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01

    for Automated Demand Response in Commercial Buildings. ” In2010. “Open Automated Demand Response Dynamic Pricing2009. “Open Automated Demand Response Communications

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

    E-Print Network [OSTI]

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

    2004-01-01

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

  6. 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 ...

  7. Better Buildings Neighborhood Program Financing and Commercial...

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

    Financing and Commercial Peer Exchange Call: Strategies for Marketing and Driving Demand for Commercial Financing Products Call Slides and Discussion Summary Agenda * Call...

  8. 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

  9. 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

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

    E-Print Network [OSTI]

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

    1984-01-01

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

  11. 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.

  12. 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.

  13. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01

    In the residential and commercial sectors, oil demand willthe residential and commercial sectors, electricity demandwater heating demand in the residential sector. At present,

  14. 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)

  15. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01

    industrial sector, oil demand will decrease due particularlyand commercial sectors, oil demand will decline on a shifttransportation sector, oil demand will shrink on a fall in

  16. 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

  17. 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

  18. 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...

  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. Fuel Quality & Metering Current Status and Future Needs

    E-Print Network [OSTI]

    Fuel Quality & Metering Current Status and Future Needs DOE Tank Safety Workshop Sandia National with enforcing the quality standards for Gasoline, Diesel, Motor Oil, Coolants, Brake Fluid, ATF, and Hydrogen commercial weighing, measuring, or counting device. This includes all Retail Motor Fuel devices (California

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

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2010-01-01

    Method for Heat and Electricity Demand for the Purpose ofstatistical models of electricity demand from Commercial andbuilt with historical electricity demand data. A facility

  3. 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

  4. DEEP WP 005 Commercial and Industrial Demand

    E-Print Network [OSTI]

    California at Davis, University of

    in the opportunity for fringe producers to exploit market power. Estimates place the magnitude of the deadweight loss, and is the most common way for time-varying incentives to be transmitted to retail electricity customers. We: (530) 752-5368; Email: dsrapson@ucdavis.edu #12;1 1 Introduction In the electricity market, marginal

  5. 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...

  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. 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

  8. 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

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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

  15. Commercial and Industrial DSM Program Overview | Department of...

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

    Commercial and Industrial DSM Program Overview Commercial and Industrial DSM Program Overview Presentation provides an overview of PEPCO and Delmarva Power's demand side management...

  16. 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.

  17. The Role of Demand Response Policy Forum Series

    E-Print Network [OSTI]

    California at Davis, University of

    The Role of Demand Response Policy Forum Series Beyond 33 Percent: California's Renewable Future and Demand Response #12;Historic focus on Seasonal Grid Stress PG&E Demand Bid Test Day 0 2000 4000 6000 8000 Communication Latency #12;Bottom Up Review of End-Use Loads for Demand Response 5 Commercial Residential

  18. Capitalize on Existing Assets with Demand Response 

    E-Print Network [OSTI]

    Collins, J.

    2008-01-01

    Industrial facilities universally struggle with escalating energy costs. EnerNOC will demonstrate how commercial, industrial, and institutional end-users can capitalize on their existing assets—at no cost and no risk. Demand response, the voluntary...

  19. High Temperatures & Electricity Demand

    E-Print Network [OSTI]

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

  20. 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...

  1. 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

  2. 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

  3. Demand Response Projects: Technical and Market Demonstrations

    E-Print Network [OSTI]

    signal · Reinforces conservation program efforts in areas such as insulation and heat pumps Voluntary DR Commercial & Industrial DR Pilot ­ Internet communication/control of imbedded load control devices on up storage Commercial & Industrial DR Pilot (8 customers)* · Open Automated Demand Response Communication

  4. 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

  5. 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

  6. R&D of Commercially Manufactured Large GEM Foils

    E-Print Network [OSTI]

    M. Posik; B. Surrow

    2015-11-27

    Many experiments are currently using or proposing to use large area GEM foils in their detectors, which is creating a need for commercially available GEM foils. Currently CERN is the only main distributor of GEM foils, however with the growing interest in GEM technology keeping up with the increasing demand for GEM foils will be difficult. Thus the commercialization of GEM foils has been established by Tech-Etch Inc. of Plymouth, MA, USA using the single-mask technique, which is capable of producing GEM foils over a meter long. To date Tech-Etch has successfully manufactured 10 $\\times$ 10 cm$^2$ and 40 $\\times$ 40 cm$^2$ GEM foils. We will report on the electrical and geometrical properties, along with the inner and outer hole diameter size uniformity of these foils. Furthermore, Tech-Etch has now begun producing even larger GEM foils of 50 $\\times$ 50 cm$^2$, and are currently looking into how to accommodate GEM foils on the order of one meter long. The Tech-Etch foils were found to have excellent electrical properties. The measured mean optical properties were found to reflect the desired parameters and are consistent with those measured in double-mask GEM foils, as well as single-mask GEM foils produced at CERN. They also show good hole diameter uniformity over the active area.

  7. 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...

  8. 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.

  9. 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.

  10. 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...

  11. 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

  12. 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

  13. 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...

  14. 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

  15. 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

  16. 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

  17. Commercial Weatherization

    Broader source: Energy.gov [DOE]

    Commercial buildings consume 19 percent of the energy used in the U.S. Learn how the Energy Department is supporting research and deployment on commercial weatherization.

  18. 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.

  19. 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

  20. Commercial Vehicle Parking In California: Exploratory Evaluation of the Problem and Possible Technology-Based Solutions

    E-Print Network [OSTI]

    Rodier, Caroline J.; Shaheen, Susan

    2007-01-01

    Dealing with Truck Parking Demands. National CooperativeAdequacy of Commercial Truck Parking Facilities – TechnicalAdequacy of Commercial Truck Parking Facilities – Technical

  1. 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,...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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,...

  16. 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...

  17. 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,...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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,...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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,...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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.

  5. 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

  6. 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

  7. 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

  8. Energy Demand (released in AEO2010)

    Reports and Publications (EIA)

    2010-01-01

    Growth in U.S. energy use is linked to population growth through increases in demand for housing, commercial floorspace, transportation, manufacturing, and services. This affects not only the level of energy use, but also the mix of fuels and consumption by sector.

  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. The Impact of Retail Rate Structures on the Economics of Commercial Photovoltaic Systems in California

    SciTech Connect (OSTI)

    Mills, Andrew; Wiser, Ryan; Barbose, Galen; Golove, William

    2008-05-11

    This article examines the impact of retail electricity rate design on the economic value of grid-connected photovoltaic (PV) systems, focusing on commercial customers in California. Using 15-minute interval building load and PV production data from a sample of 24 actual commercial PV installations, we compare the value of the bill savings across 20 commercial-customer retail electricity rates currently offered in the state. Across all combinations of customers and rates, we find that the annual bill savings from PV, per kWh generated, ranges from $0.05/kWh to $0.24/kWh. This sizable range in rate-reduction value reflects differences in rate structures, revenue requirements, the size of the PV system relative to building load, and customer load shape. The most significant rate design issue for the value of commercial PV is found to be the percentage of total utility bills recovered through demand charges, though a variety of other factors are also found to be of importance. The value of net metering is found to be substantial, but only when commercial PV systems represent a sizable portion of annual customer load. Though the analysis presented here is specific to California, our general results demonstrate the fundamental importance of retail rate design for the customer-economics of grid-connected, customer-sited PV.

  12. The impact of retail rate structures on the economics of commercial photovoltaic systems in California

    SciTech Connect (OSTI)

    Mills, Andrew D.; Wiser, Ryan; Barbose, Galen; Golove, William

    2008-06-24

    This article examines the impact of retail electricity rate design on the economic value of grid-connected photovoltaic (PV) systems, focusing on commercial customers in California. Using 15-min interval building load and PV production data from a sample of 24 actual commercial PV installations, we compare the value of the bill savings across 20 commercial-customer retail electricity rates currently offered in the state. Across all combinations of customers and rates, we find that the annual bill savings from PV, per kWh generated, ranges from $0.05 to $0.24/kWh. This sizable range in rate-reduction value reflects differences in rate structures, revenue requirements, the size of the PV system relative to building load, and customer load shape. The most significant rate design issue for the value of commercial PV is found to be the percentage of total utility bills recovered through demand charges, though a variety of other factors are also found to be of importance. The value of net metering is found to be substantial, but only when energy from commercial PV systems represents a sizable portion of annual customer load. Though the analysis presented here is specific to California, our general results demonstrate the fundamental importance of retail rate design for the customer-economics of grid-connected, customer-sited PV.

  13. 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.

  14. Demand Responsive Lighting: A Scoping Study

    SciTech Connect (OSTI)

    Rubinstein, Francis; Kiliccote, Sila

    2007-01-03

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

  15. Retrofitting Existing Buildings for Demand Response & Energy Efficiency

    E-Print Network [OSTI]

    California at Los Angeles, University of

    Retrofitting Existing Buildings for Demand Response & Energy Efficiency www rate periods to avoid high charges. · Assembly Bill 1103 ­ Building Energy Efficiency Disclosure - Starting January 1, 2010, all commercial building lease transactions must disclose the energy efficiency

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

    SciTech Connect (OSTI)

    1995-04-01

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

  18. Oklahoma Municipal Power Authority- Commercial and Industrial Energy Efficiency Program

    Broader source: Energy.gov [DOE]

    The Oklahoma Municipal Power Authority (OMPA) offers the Demand and Energy Efficiency Program (DEEP) to eligible commercial, industrial, and municipal government customers served by OMPA. This...

  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. 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...

  3. 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.

  4. 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.

  5. Commercialization of germanium based nanocrystal memory

    E-Print Network [OSTI]

    Seow, Kian Chiew

    2007-01-01

    This thesis explores the commercialization of germanium-based nanocrystal memories. Demand for smaller and faster electronics and embedded systems supports the development of high-density, low-power non-volatile electronic ...

  6. 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. ...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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.

  1. 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...

  2. 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...

  3. 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.

  4. 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...

  5. 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...

  6. 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 &...

  7. 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

  8. 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.

  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. 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.

  15. 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...

  16. 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...

  17. 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

  18. 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

  19. 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.

  20. Autimated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR 

    E-Print Network [OSTI]

    Kim, J. J.; Yin, R.; Kiliccote, S.

    2013-01-01

    Open Automated Demand Response (OpenADR), an XML-based information exchange model, is used to facilitate continuous price-responsive operation and demand response participation for large commercial buildings in New York who are subject...

  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. Using Wireless Power Meters to Measure Energy Use of Miscellaneous and Electronic Devices in Buildings

    SciTech Connect (OSTI)

    UC Berkeley, Berkeley, CA USA; Brown, Richard; Lanzisera, Steven; Cheung, Hoi Ying; Lai, Judy; Jiang, Xiaofan; Dawson-Haggerty, Stephen; Taneja, Jay; Ortiz, Jorge; Culler, David

    2011-05-24

    Miscellaneous and electronic devices consume about one-third of the primary energy used in U.S. buildings, and their energy use is increasing faster than other end-uses. Despite the success of policies, such as Energy Star, that promote more efficient miscellaneous and electronic products, much remains to be done to address the energy use of these devices if we are to achieve our energy and carbon reduction goals. Developing efficiency strategies for these products depends on better data about their actual usage, but very few studies have collected field data on the long-term energy used by a large sample of devices due to the difficulty and expense of collecting device-level energy data. This paper describes the development of an improved method for collecting device-level energy and power data using small, relatively inexpensive wireless power meters. These meters form a mesh network based on Internet standard protocols and can form networks of hundreds of metering points in a single building. Because the meters are relatively inexpensive and do not require manual data downloading, they can be left in the field for months or years to collect long time-series energy use data. In addition to the metering technology, we also describe a field protocol used to collect comprehensive, robust data on the miscellaneous and electronic devices in a building. The paper presents sample results from several case study buildings, in which all the plug-in devices for several homes were metered, and a representative sample of several hundred plug-in devices in a commercial office building were metered for several months.

  5. 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

  6. 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

  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. 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.

  9. Assumption to the Annual Energy Outlook 2014 - Commercial Demand Module

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2

  10. CO2 MONITORING FOR DEMAND CONTROLLED VENTILATION IN COMMERCIAL BUILDINGS

    E-Print Network [OSTI]

    Fisk, William J.

    2010-01-01

    Laboratory-based evaluations of nine sensors with largespecified existing sensor for evaluation. In the prior fieldIn summary, these evaluations of faulty sensors did not

  11. CO2 MONITORING FOR DEMAND CONTROLLED VENTILATION IN COMMERCIAL BUILDINGS

    E-Print Network [OSTI]

    Fisk, William J.

    2010-01-01

    evaluations of the performance of sensor electronics and measurements of the output of infrared sources within sensors

  12. 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

  13. Commercial Fleet Demand for Alternative-Fuel Vehicles in California

    E-Print Network [OSTI]

    Golob, Thomas F; Torous, Jane; Bradley, Mark; Brownstone, David; Crane, Soheila Soltani; Bunch, David S

    1996-01-01

    Operating cost (cents/mile) NGV operating cost Number offuel type on California roads NGV penetration Dual fueldummy: (0=NGV only; 1 =can also run on gasoline) NGV dual

  14. Strategies for Marketing and Driving Demand for Commercial Financing

    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 iSlide 1 Moresteelmaking industry has significantlytextDepartment ofProducts |

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

    Open Energy Info (EERE)

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

  16. 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

  17. 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

  18. Variability in Automated Responses of Commercial Buildings and Industrial

    E-Print Network [OSTI]

    LBNL-5129E Variability in Automated Responses of Commercial Buildings and Industrial Facilities;Variability in Automated Responses of Commercial Buildings and Industrial Facilities to Dynamic Electricity consumption of commercial buildings and industrial facilities (C&I facilities) during Demand Response (DR

  19. 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.

  20. 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

  1. 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.

  2. 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.

  3. 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.

  4. Demand Forecast INTRODUCTION AND SUMMARY

    E-Print Network [OSTI]

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

  5. 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).

  6. 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).

  7. The Role of Demand Response in Default Service Pricing

    SciTech Connect (OSTI)

    Barbose, Galen; Goldman, Charles; Neenan, Bernie

    2006-04-15

    In designing default service for competitive retail markets, demand response has been an afterthought at best. But that may be changing, as states that initiated customer choice in the past five to seven years reach an important juncture in retail market design and consider an RTP-type default service for large commercial and industrial customers. The authors describe the experience to date with RTP as a default service, focusing on its role as an instrument for cultivating price-responsive demand. (author)

  8. 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...

  9. 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...

  10. Table 11. Net metering, 2010 through 2013

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

    Illinois" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",5.167,4.35,2.74,1.05 "Residential",2.88,2.626,1.808,0.75 "Commercial",2.157,1.725,0.938,...

  11. Table 11. Net metering, 2010 through 2013

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

    Dakota" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",0.092,0.09,0.07,0.01 "Residential",0.02,0.017,0.012,0.005 "Commercial",0.072,0.072,0.06,0...

  12. Table 11. Net metering, 2010 through 2013

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

    Nebraska" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",0.651,0.55,0.19,0.08 "Residential",0.399,0.243,0.106,0.041 "Commercial",0.18,0.297,0.034...

  13. Table 11. Net metering, 2010 through 2013

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

    Missouri" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",42.797,14.7,4.31,1.21 "Residential",21.508,6.129,1.602,0.786 "Commercial",21.115,8.547,2...

  14. Table 11. Net metering, 2010 through 2013

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

    Maine" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",7.74,5.04,5.95,2.57 "Residential",5.696,3.558,4.263,1.907 "Commercial",2.018,1.464,1.687,0....

  15. Table 11. Net metering, 2010 through 2013

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

    Carolina" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",10.191,6.17,3.72,10.35 "Residential",4.661,2.56,1.368,8.591 "Commercial",5.352,3.604,2.3...

  16. Table 11. Net metering, 2010 through 2013

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

    Wyoming" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",1.616,1.32,0.99,1.03 "Residential",0.923,0.754,0.515,0.409 "Commercial",0.516,0.413,0.323...

  17. Table 11. Net metering, 2010 through 2013

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

    Virginia" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",11.378,9.9,6.55,3.68 "Residential",6.68,5.179,3.987,2.776 "Commercial",4.596,4.582,2.468...

  18. Table 11. Net metering, 2010 through 2013

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

    Delaware" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",22.224,19.05,14.1,8.52 "Residential",8.361,6.918,5.043,3.523 "Commercial",11.858,10.184,...

  19. Table 11. Net metering, 2010 through 2013

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

    Hawaii" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",220.565,121.11,55.38,28.85 "Residential",173.15,84.817,32.328,13.906 "Commercial",47.415,3...

  20. Table 11. Net metering, 2010 through 2013

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

    Rhode Island" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",3.361,2,1.43,1.97 "Residential",1.205,0.633,0.574,0.535 "Commercial",2.156,1.37,0.85...

  1. Table 11. Net metering, 2010 through 2013

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

    Michigan" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",11.493,8.69,5.54,3.42 "Residential",6.351,4.86,3.581,2.837 "Commercial",4.63,3.724,1.913...

  2. Table 11. Net metering, 2010 through 2013

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

    Indiana" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",3.331,2.19,1.32,0.56 "Residential",2.223,1.127,0.716,0.366 "Commercial",1.082,1.06,0.602,...

  3. Table 11. Net metering, 2010 through 2013

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

    Louisiana" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",51.156,23.19,8.44,6.25 "Residential",48.69,21.418,7.73,5.521 "Commercial",2.466,1.755,0...

  4. Table 11. Net metering, 2010 through 2013

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

    Kentucky" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",2.838,1.37,1.14,0.51 "Residential",1.842,0.534,0.397,0.23 "Commercial",0.996,0.83,0.733,...

  5. Table 11. Net metering, 2010 through 2013

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

    Carolina" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",1.885,1.2,0.68,1.38 "Residential",1.56,1.034,0.604,1.312 "Commercial",0.322,0.162,0.056,...

  6. Table 11. Net metering, 2010 through 2013

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

    Mississippi" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",6.077,0.04,0.03,0 "Residential",1.077,0.036,0.024,0 "Commercial",2,0,0,0...

  7. Table 11. Net metering, 2010 through 2013

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

    Vermont" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",19.874,18.9,8.33,6.32 "Residential",15.192,14.888,5.361,3.963 "Commercial",4.485,3.804,2....

  8. Table 11. Net metering, 2010 through 2013

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

    Oklahoma" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",1.155,0.66,0.51,0.25 "Residential",0.779,0.405,0.311,0.163 "Commercial",0.376,0.253,0.18...

  9. Table 11. Net metering, 2010 through 2013

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

    Kansas" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",1.36,0.92,0.61,0 "Residential",0.576,0.324,0.206,0.004 "Commercial",0.784,0.588,0.405,0...

  10. Table 11. Net metering, 2010 through 2013

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

    Utah" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",17.151,10.78,5.73,3.45 "Residential",7.328,3.823,2.643,2.567 "Commercial",9.073,6.551,3.031,...

  11. Table 11. Net metering, 2010 through 2013

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

    Florida" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",59.797,43.82,31.65,20.13 "Residential",27.648,20.99,17.278,11.39 "Commercial",31.865,22.7...

  12. Table 11. Net metering, 2010 through 2013

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

    Ohio" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",59.06,46.45,19.33,10.37 "Residential",6.684,4.275,2.701,1.41 "Commercial",46.952,39.954,16.2...

  13. Table 11. Net metering, 2010 through 2013

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

    Georgia" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",9.614,7.94,4.8,2.74 "Residential",2.929,2.066,2.692,2.107 "Commercial",5.058,4.468,1.78,0...

  14. Table 11. Net metering, 2010 through 2013

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

    Hampshire" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",8.565,5.07,3.05,1.88 "Residential",5.005,2.668,1.791,1.223 "Commercial",3.064,2.097,0.9...

  15. Table 11. Net metering, 2010 through 2013

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

    Mexico" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",61.793,37.98,26.65,19.6 "Residential",25.504,16.995,11.126,7.151 "Commercial",35.713,20.63...

  16. Table 11. Net metering, 2010 through 2013

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

    Minnesota" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",11.21,8.87,4.07,8.13 "Residential",4.99,3.851,2.302,5.203 "Commercial",5.74,4.484,1.505...

  17. Table 11. Net metering, 2010 through 2013

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

    Texas" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",89.898,45.5,29.91,16.82 "Residential",59.839,23.363,14.826,9.433 "Commercial",29.851,21.913...

  18. Table 11. Net metering, 2010 through 2013

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

    Oregon" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",56.423,42.74,31.28,23.11 "Residential",26.353,20.326,14.076,9.618 "Commercial",28.482,21.1...

  19. Table 11. Net metering, 2010 through 2013

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

    York" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",175.579,98.31,70.4,41.47 "Residential",83.781,50.708,37.822,25.153 "Commercial",89.631,47.52...

  20. Table 11. Net metering, 2010 through 2013

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

    Dakota" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",0.241,0.17,0.08,0.01 "Residential",0.191,0.114,0.063,0.008 "Commercial",0.05,0.05,0.02,0...

  1. Table 11. Net metering, 2010 through 2013

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

    Idaho" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",2.836,2.22,1.57,0.31 "Residential",1.37,1.016,0.594,0.212 "Commercial",1.466,1.186,0.94,0.1...

  2. Table 11. Net metering, 2010 through 2013

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

    Tennessee" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",0.16,0.15,0.4,0 "Residential",0.028,0.014,0.015,0 "Commercial",0.132,0.132,0.206,0...

  3. Table 11. Net metering, 2010 through 2013

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

    Alaska" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",0.51,0.27,0.17,0.01 "Residential",0.362,0.157,0.1,0.005 "Commercial",0.129,0.082,0.041,0.0...

  4. Table 11. Net metering, 2010 through 2013

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

    West Virginia" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",2.163,1.77,0.75,0.3 "Residential",1.633,1.286,0.495,0.249 "Commercial",0.524,0.473,...

  5. Table 11. Net metering, 2010 through 2013

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

    Maryland" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",105.226,65.82,36.92,11.06 "Residential",36.071,22.582,11.629,5.159 "Commercial",66.138,4...

  6. Table 11. Net metering, 2010 through 2013

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

    Washington" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",25.528,17.09,10.65,7.38 "Residential",19.414,12.741,7.424,6.021 "Commercial",6.074,4.3...

  7. Table 11. Net metering, 2010 through 2013

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

    Nevada" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",44.618,41.66,28.33,0.02 "Residential",10.101,8.529,6.356,0.027 "Commercial",27.322,26.859,...

  8. Table 11. Net metering, 2010 through 2013

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

    Iowa" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",5.998,1.77,0.65,9.43 "Residential",2.885,0.794,0.268,9.289 "Commercial",2.91,0.947,0.373,0.1...

  9. Table 11. Net metering, 2010 through 2013

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

    Montana" "Technology by sector", 2013, 2012, 2011, 2010 "Photovoltaic",,,, "Capacity (MW)",7.52,3.57,2.29,2.18 "Residential",5.939,2.303,1.37,1.337 "Commercial",1.581,1.268,0.917,0...

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. Chord on Demand Alberto Montresor

    E-Print Network [OSTI]

    Jelasity, Márk

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

  1. Supply Chain Supernetworks Random Demands

    E-Print Network [OSTI]

    Nagurney, Anna

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

  2. Chord on Demand Alberto Montresor

    E-Print Network [OSTI]

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

  3. ERCOT Demand Response Paul Wattles

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

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

  4. Assessment of Demand Response Resource

    E-Print Network [OSTI]

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

  5. Impacts of Temperature Variation on Energy Demand in Buildings (released in AEO2005)

    Reports and Publications (EIA)

    2005-01-01

    In the residential and commercial sectors, heating and cooling account for more than 40% of end-use energy demand. As a result, energy consumption in those sectors can vary significantly from year to year, depending on yearly average temperatures.

  6. The Window Market in Texas: Opportunities for Energy Savings and Demand Reduction 

    E-Print Network [OSTI]

    Zarnikau, J.; Campbell, L.

    2002-01-01

    The use of high performance windows represents a promising opportunity to reduce energy consumption and summer electrical demand in homes and commercial buildings in Texas and neighboring states. While low-e glass coatings and other energy...

  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. 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.

  15. 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

  16. 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

  17. 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  

  18. 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

  19. 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...

  20. 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

  1. 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

  2. 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

  3. Estimating Demand Response Market Potential Among Large Commercialand Industrial Customers:A Scoping Study

    SciTech Connect (OSTI)

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

    2007-01-01

    Demand response is increasingly recognized as an essentialingredient to well functioning electricity markets. This growingconsensus was formalized in the Energy Policy Act of 2005 (EPACT), whichestablished demand response as an official policy of the U.S. government,and directed states (and their electric utilities) to considerimplementing demand response, with a particular focus on "price-based"mechanisms. The resulting deliberations, along with a variety of stateand regional demand response initiatives, are raising important policyquestions: for example, How much demand response is enough? How much isavailable? From what sources? At what cost? The purpose of this scopingstudy is to examine analytical techniques and data sources to supportdemand response market assessments that can, in turn, answer the secondand third of these questions. We focus on demand response for large(>350 kW), commercial and industrial (C&I) customers, althoughmany of the concepts could equally be applied to similar programs andtariffs for small commercial and residential customers.

  4. 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...

  5. 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.

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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 ...

  11. 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...

  12. 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.

  13. 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...

  14. 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.

  15. 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

  16. 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...

  17. Procedure for Measuring and Reporting Commercial Building Energy Performance

    SciTech Connect (OSTI)

    Barley, D.; Deru, M.; Pless, S.; Torcellini, P.

    2005-10-01

    This procedure is intended to provide a standard method for measuring and characterizing the energy performance of commercial buildings. The procedure determines the energy consumption, electrical energy demand, and on-site energy production in existing commercial buildings of all types. The performance metrics determined here may be compared against benchmarks to evaluate performance and verify that performance targets have been achieved.

  18. 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

  19. 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...

  20. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01

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

  1. 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

  2. Commercial Vehicle Safety Alliance Commercial Vehicle Safety...

    Office of Environmental Management (EM)

    Program Update: Ensuring Safe Transportation of Radioactive Material Carlisle Smith Director, Hazardous Materials Programs Commercial Vehicle Safety Alliance Email:...

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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.

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

    SciTech Connect (OSTI)

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

    2013-10-01

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

  10. 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.

  11. 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

  12. 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

  13. 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

  14. 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-

  15. 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.

  16. 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...

  17. Demand Side Management in Rangan Banerjee

    E-Print Network [OSTI]

    Banerjee, Rangan

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

  18. 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 ...

  19. 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,

  20. 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.

  1. Marketing Demand-Side Management 

    E-Print Network [OSTI]

    O'Neill, M. L.

    1988-01-01

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

  2. 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

  3. 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.

  4. 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

  5. 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-

  6. Technology Commercialization Fund - EERE Commercialization Office

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

    Fund The Technology Commercialization Fund (TCF) is designed to complement angel investment or early stage corporate product development. The fund totaled nearly 14.3 million in...

  7. 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

  8. 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 ...

  9. 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...

  10. 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.

  11. 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.

  12. 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...

  13. 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

  14. 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.

  15. 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

  16. 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%...

  17. 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...

  18. 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 ...

  19. 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...

  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. 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

  2. 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

  3. 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

  4. 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

  5. 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.

  6. 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.

  7. 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

  8. 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...

  9. 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).

  10. 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

  11. 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

  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. 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 ...

  14. 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,

  15. 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...

  16. 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

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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

  3. 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...

  4. 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

  5. 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.

  6. 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

  7. Demand Response and Energy Efficiency 

    E-Print Network [OSTI]

    2009-01-01

    stream_source_info ESL-IC-09-11-05.pdf.txt stream_content_type text/plain stream_size 14615 Content-Encoding ISO-8859-1 stream_name ESL-IC-09-11-05.pdf.txt Content-Type text/plain; charset=ISO-8859-1 Demand Response... 4 An Innovative Solution to Get the Ball Rolling ? Demand Response (DR) ? Monitoring Based Commissioning (MBCx) EnerNOC has a solution involving two complementary offerings. ESL-IC-09-11-05 Proceedings of the Ninth International Conference...

  8. Algae Biodiesel: Commercialization

    E-Print Network [OSTI]

    Tullos, Desiree

    Algae Biodiesel: A Path to Commercialization Algae Biodiesel: A Path to Commercialization Center conservation and biomonitoring · Algae biodiesel is largest CEHMM project #12;Project Overview: The Missing replace petroleum #12;Project Overview: Local Resources for Algae Biodiesel Project Overview: Local

  9. 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

  10. 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.

  11. 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

  12. "YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","NUMBER OF RESIDENTIAL AMR METERS","NUMBER OF COMMERCIAL AMR METERS","NUMBER OF INDUSTRIAL AMR METERS","NUMBER OF TRANSPORTATION AMR METERS","TOTAL NUMBER OF AMR METERS","NUMBER OF RESIDENTIAL AMI METERS","NUMBER OF COMMERCIAL AMI METERS","NUMBER OF INDUSTRIAL AMI METERS","NUMBER OF TRANSPORTATION AMI METERS","TOTAL NUMBER OF AMI METERS","RESIDENTIAL ENERGY SERVED THRU AMI METERS (MWh)","COMMERCIAL ENERGY SERVED THRU AMI METERS (MWh)","INDUSTRIAL ENERGY SERVED THRU AMI METERS (MWh)","TRANSPORTATION ENERGY SERVED THRU AMI METERS (MWh)","TOTAL ENERGY SERVED THRU AMI METERS (MWh)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981"0. Total Consumption of LPG,

  13. "YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","NUMBER OF RESIDENTIAL AMR METERS","NUMBER OF COMMERCIAL AMR METERS","NUMBER OF INDUSTRIAL AMR METERS","NUMBER OF TRANSPORTATION AMR METERS","TOTAL NUMBER OF AMR METERS","NUMBER OF RESIDENTIAL AMI METERS","NUMBER OF COMMERCIAL AMI METERS","NUMBER OF INDUSTRIAL AMI METERS","NUMBER OF TRANSPORTATION AMI METERS","TOTAL NUMBER OF AMI METERS","RESIDENTIAL ENERGY SERVED THRU AMI METERS (MWh)","COMMERCIAL ENERGY SERVED THRU AMI METERS (MWh)","INDUSTRIAL ENERGY SERVED THRU AMI METERS (MWh)","TRANSPORTATION ENERGY SERVED THRU AMI METERS (MWh)","TOTAL ENERGY SERVED THRU AMI METERS (MWh)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981"0. Total Consumption of LPG,2,1,"AK",213,"Alaska

  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. 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.

  20. 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

  1. 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

  2. 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:

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

    E-Print Network [OSTI]

    McKane, Aimee T.

    2009-01-01

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

  4. Incorporating Demand Response into Western Interconnection Transmission Planning

    E-Print Network [OSTI]

    Satchwell, Andrew

    2014-01-01

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

  5. Upply Chain Supernetworks with Random Demands

    E-Print Network [OSTI]

    Nagurney, Anna

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

  6. Trials, tribulations, and pitfalls using commercial instruments for data acquisition

    SciTech Connect (OSTI)

    Lee,R.C.; Olsen, R. H.; Unger, K. L.

    2009-10-12

    Brookhaven National Laboratory's Relativistic Heavy Ion Collider (RHIC) uses many commercially available instruments - for example spectrum analyzers, oscilloscopes, digital volt meters, signal generators - as integral parts of instrumentation and control systems. Typically these systems are remotely controlled. Using commercial instruments has many benefits. Manufactures have the skill, knowledge, and experience to produce high quality products. The price performance ratio is hard to duplicate. There are also disadvantages. Proprietary interfaces, single platform drivers, and reliable operation provide challenges for implementation and unattended operation. Several of the systems used at RHIC will be described. Their issues and solutions will be presented.

  7. EVALUATION OF EMERGING DIAGNOSTIC TOOLS FOR COMMERCIAL HVAC SYSTEMS Hannah Friedman Mary Ann Piette

    E-Print Network [OSTI]

    management control systems (EMCS), utility demand metering, and dedicated monitoring systems. By combining and Electric's Universal Translator, UC Berkeley's Fan System Tools, and Silicon Energy's Enterprise Energy, ventilating, and air-conditioning (HVAC) systems (Gregerson, 1997, Claridge et al., 2000). If these energy

  8. Advanced Metering Implementations - A Perspective from Federal Sector

    SciTech Connect (OSTI)

    Eaarni, Shankar

    2014-08-11

    Federal mandate (EPACT 2005) requires that federal buildings install advanced electrical meters-meters capable of providing data at least daily and measuring the consumption of electricity at least hourly. This work presents selected advanced metering implementations to understand some of the existing practices related to data capture and to understand how the data is being translated into information and knowledge that can be used to improve building energy and operational performance to meet federal energy reduction mandates. This study highlights case studies to represent some of the various actions that are being taken based on the data that are being collected to improve overall energy performance of these buildings. Some of these actions include- individualized tenant billing and energy forecasting, benchmarking, identifying energy conservation measures, measurement and verification.

  9. Smart preamplifier for real-time turbine meter diagnostics

    SciTech Connect (OSTI)

    Breter, J.C.

    1995-12-31

    A new, dual-purpose device for turbine meters, which functions as a traditional signal preamplifier and accomplishes real-time performance diagnostics, is now available. This smart preamplifier (patent pending) utilizes high speed microprocessor technology to continuously monitor and analyze the rotation of a turbine meter rotor. Continuous monitoring allows the device to detect rotational anomalies that can lead to erroneous measurements as they occur. The smart preamplifier works on liquid or gas turbine meters that use a variable reluctance pickup coil for signal generation. This paper will discuss the technology and capabilities of the smart preamplifier. To simplify this discussion, it is assumed that the signal generated will be via a non-rimmed rotor. Thus, the term ``blade`` is used throughout. However, all discussions relevant to signal generation are also true for a rimmed rotor using either buttons or slots for signal generation.

  10. 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).

  11. EDD-7 Electric Charge Point Meter test results

    SciTech Connect (OSTI)

    Mersman, C.R.

    1993-09-01

    The results of tests evaluating the electric switching portion of the EDD-7 Electric Charge Point Meter (ECPM) are presented. The ECPM is a modified parking meter that allows the purchase of 120 or 240 volt electric power. The ECPM is designed to make electricity available at any vehicle parking location. The test results indicate that the ECPM operated without failure thru a series of over current and ground fault tests at three different test temperatures. The magnitude of current required to trip the over current protection circuitry varied with temperature while the performance of the ground fault interruption circuitry did not change significantly with the test temperature.

  12. CAMPUS SMART METERS PPA NO: 14-0058 Page 1 of 3 Ritter Engineering, Inc.

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    CAMPUS SMART METERS PPA NO: 14-0058 Page 1 of 3 Ritter Engineering, Inc. P.O. Box 1352 Billings, MT Engineers ADDENDUM NUMBER 1 DATE: February 25, 2015 PROJECT: Campus Smart Meters MSU Bozeman PPA No: 14 around the meter and meter bypass. 5. The City of Bozeman WILL require a Building Permit for this project

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

    SciTech Connect (OSTI)

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

    2009-12-30

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

  14. 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

    contentious issues related to net metering (E3 2010; IREC2010; IREC Freeing the grid 2012; ), there are surprisingly

  15. Commercialization of silicon on lattice-engineered substrate for electronic applications

    E-Print Network [OSTI]

    Liang, Yu Yan

    2008-01-01

    The commercial potential of SOLES (Silicon on Lattice-Engineered Substrate) is investigated considering the competing technologies, competing market players and market demands. Monolithic integration of Si devices with ...

  16. A Case Study of Retro Commissioning in a Standard Commercial Office Building in Japan 

    E-Print Network [OSTI]

    Kamitani, K.; Shimazu, M.; Inomata, N.

    2006-01-01

    This paper describes retro commissioning of a standard commercial office building in Japan. The owner's expectations for retro commissioning are realization of energy and cost savings, and controlling the increase in electric power demand, while...

  17. Commercialization strategies for emerging technologies : wireless power in the market for external power adapters

    E-Print Network [OSTI]

    Tseng, Ryan

    2009-01-01

    The purpose of this thesis is to explore the different challenges facing start-ups that are engaged in intense competition to lead the commercialization of a complex technology that is initially unable to meet the demands ...

  18. The Pacific Northwest Demand Response Market Demonstration

    SciTech Connect (OSTI)

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

    2008-07-20

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

  19. Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles

    SciTech Connect (OSTI)

    Yamaguchi, Nobuyuki; Han, Junqiao; Ghatikar, Girish; Piette, Mary Ann; Asano, Hiroshi; Kiliccote, Sila

    2009-06-28

    This paper provides new regression models for demand reduction of Demand Response programs for the purpose of ex ante evaluation of the programs and screening for recruiting customer enrollment into the programs. The proposed regression models employ load sensitivity to outside air temperature and representative load pattern derived from cluster analysis of customer baseline load as explanatory variables. The proposed models examined their performances from the viewpoint of validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial customers who participated in the 2008 Critical Peak Pricing program including Manual and Automated Demand Response.

  20. Commercial Building Asset Rating Program

    Broader source: Energy.gov [DOE]

    Slides from a Commercial Building Initiative webinar outlining the Commercial Building Asset Rating Program on August 23, 2011.

  1. Symbiosis Biofeedstock Conference: Expanding Commercialization...

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

    Biofeedstock Conference: Expanding Commercialization of Mutualistic Microbes to Increase Feedstock Production Symbiosis Biofeedstock Conference: Expanding Commercialization of...

  2. 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.

  3. VirusMeter: Preventing Your Cellphone , Guanhua Yan2

    E-Print Network [OSTI]

    Chen, Songqing

    . Due to the rapid advancement of mobile communication technology, mobile devices nowadays can support. The rationale underlying VirusMeter is the fact that mobile devices are usu- ally battery powered and any malicious activity would inevitably consume some battery power. By monitoring power consumption on a mobile

  4. Leveraging smart meter data to recognize home appliances Markus Weiss+#

    E-Print Network [OSTI]

    -- The worldwide adoption of smart meters that measure and communicate residential electricity consumption gives-intrusive load monitoring; energy monitoring; energy break down; electricity consumption I. APLLIANCE-SPECIFIC CONSUMPTION FEEDBACK The requirement to conserve energy, the modernization of the electrical grid

  5. Privacy Preserving Smart Metering System Based Retail Level Electricity Market

    E-Print Network [OSTI]

    Franchetti, Franz

    1 Privacy Preserving Smart Metering System Based Retail Level Electricity Market Cory Thoma, Tao technologies which includes load management and retail level electricity market support. Index Terms as the various market functionalities also pose great risks to customer privacy. In this work we propose a secure

  6. Metering Air Compressor Systems for Efficiency: A Progress Report 

    E-Print Network [OSTI]

    Joseph, B.

    2005-01-01

    was termed CASE Index, which varies from 0 to about 320, and has the units of SCF/KWH. The procedure we developed, involved metering of input (KWH) and output (SCFM), in and out of the central plant. After the initial beta testing of the procedure, as more...

  7. Hydrostatic bearings for a turbine fluid flow metering device

    DOE Patents [OSTI]

    Fincke, J.R.

    1982-05-04

    A rotor assembly fluid metering device has been improved by development of a hydrostatic bearing fluid system which provides bearing fluid at a common pressure to rotor assembly bearing surfaces. The bearing fluid distribution system produces a uniform film of fluid between bearing surfaces and allows rapid replacement of bearing fluid between bearing surfaces, thereby minimizing bearing wear and corrosion. 3 figs.

  8. Commercial New Construction

    Broader source: Energy.gov [DOE]

    Efficiency Vermont offers support to encourage energy efficient design for new construction. Efficiency Vermont will provide support for new commercial buildings, including technical assistance at...

  9. Lighting in Commercial Buildings

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

    more comprehensive understanding of commercial lighting and the potential for lighting energy savings. Steps to build on this analysis can be taken in many directions. One...

  10. 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.

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

    SciTech Connect (OSTI)

    Hill, L.J.

    1990-12-01

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

  12. Price Responsiveness in the AEO2003 NEMS Residential and Commercial Buildings Sector Models

    Reports and Publications (EIA)

    2003-01-01

    This paper describes the demand responses to changes in energy prices in the Annual Energy Outlook 2003 versions of the Residential and Commercial Demand Modules of the National Energy Modeling System (NEMS). It updates a similar paper completed for the Annual Energy Outlook 1999 version of the NEMS.

  13. STEO December 2012 - coal demand

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

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

  14. Scaling Microblogging Services with Divergent Traffic Demands

    E-Print Network [OSTI]

    Fu, Xiaoming

    Scaling Microblogging Services with Divergent Traffic Demands Tianyin Xu, Yang Chen, Lei Jiao, Ben-server architecture has not scaled with user demands, lead- ing to server overload and significant impairment

  15. Michel Meulpolder Managing Supply and Demand of

    E-Print Network [OSTI]

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

  16. REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022

    E-Print Network [OSTI]

    relatively high economic/demographic growth, relatively low electricity and natural gas rates REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 2: Electricity Demand by Utility OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION Robert P

  17. CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST

    E-Print Network [OSTI]

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

  18. CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST

    E-Print Network [OSTI]

    incorporates relatively high economic/demographic growth, relatively low electricity and natural gas rates CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST Volume 2: Electricity Demand Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION Robert P. Oglesby Executive

  19. CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST

    E-Print Network [OSTI]

    incorporates relatively high economic/demographic growth, relatively low electricity and natural gas rates CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 2: Electricity Demand OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION Robert P

  20. Solar in Demand | Department of Energy

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

    Solar in Demand Solar in Demand June 15, 2012 - 10:23am Addthis Kyle Travis, left and Jon Jackson, with Lighthouse Solar, install microcrystalline PV modules on top of Kevin...