National Library of Energy BETA

Sample records for metered peak demand

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

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

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

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

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

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

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

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

    The Potential for Peak Hour Savings from Behavior-Based Programs Insights from Smart Meters: The Potential for Peak Hour Savings from Behavior-Based Programs This report focuses on ...

  4. 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.

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

    Energy Savers [EERE]

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

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

    Energy Savers [EERE]

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

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

    Office of Environmental Management (EM)

    Behavior-Based Programs | Department of Energy The Potential for Peak Hour Savings from Behavior-Based Programs Insights from Smart Meters: The Potential for Peak Hour Savings from Behavior-Based Programs This report focuses on one example of the value that analysis of this data can provide: insights into whether BB efficiency programs have the potential to provide peak-hour energy savings. This is important because there is increasing interest in using BB programs as a stand-alone peak

  8. 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.

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

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

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

  10. Net Metering

    Broader source: Energy.gov [DOE]

    Net metering is available on a first-come, first-served basis until the cumulative generating capacity of net-metered systems equals 0.5% of a utility’s peak demand during 1996.* At least one-half...

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

    SciTech Connect (OSTI)

    2009-07-15

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

  12. ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected...

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

    EIA-411 for 2005" ,"Released: September 26, 2007" ,"Next Update: October 2007" ,"Table 3d. April Monthly Peak Hour Demand, Actual and Projected by North American Electric...

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

    SciTech Connect (OSTI)

    none,

    2013-01-01

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

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

    Open Energy Info (EERE)

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

  15. Meters

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

    and RP-1 Agreement and Guide For Use and Utilization of the RadEye B20-ER Survey Meters The Rad Eye B20-ER is a pancake GM detector capable of measuring low levels of Alpha, Beta,...

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

    SciTech Connect (OSTI)

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

    2010-05-14

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

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

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

    Deployment of Behind-The- Meter Energy Storage for Demand Charge Reduction J. Neubauer and M. Simpson Technical Report NREL/TP-5400-63162 January 2015 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Contract No. DE-AC36-08GO28308 National Renewable Energy

  18. Meters

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

    sc 620 Meters ~ 310 ~g~ 1, coOmpartment 11 ~~I . * ~~O~6 ~,~: '- N A o Soils Soil Series and Phase ~BaB FuB OrA TrB o ~ u Vegetation o 310 o o Commun;~y I fPme - L~ng e~'ne/HardwOOd %. EJ ~~:~1o,;"'a'" W~*. Monitoring wells :W~~~~ o Wa"""'" ~ :/'/ m// .y ~WWE:~~tI' s/~~ N Roads . et-Asld ~ ~~!~~ ~~~~l~idL:sndfili ~/#//};;;;>. Figure 28-1. Plant cOl1llllunities and soils associated with the Field 3-409 Set-Aside Area. 28-5 Set-Aside 28: Field 3-409

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

    SciTech Connect (OSTI)

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

    2012-04-29

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

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

    SciTech Connect (OSTI)

    Turner, Will; Walker, Iain; Roux, Jordan

    2014-08-01

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

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

    SciTech Connect (OSTI)

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

    2015-01-01

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

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

    Energy Savers [EERE]

    1 OG&E Uses Time-Based Rate Program to Reduce Peak Demand As part of its Smart Grid Investment Grant (SGIG) project for the U.S. Department of Energy's (DOE) Office of Electricity Delivery and Energy Reliability (OE), Oklahoma Gas and Electric Company (OG&E) has successfully tested over a two-year period a new time-based rate, which provided about 4,670 participating customers with pric es that varied daily in order to induce a change in their patterns of electricity consumption and a

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

    Broader source: Energy.gov [DOE]

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

  4. High-Performance with Solar Electric Reduced Peak Demand: Premier Homes Rancho Cordoba, CA- Building America Top Innovation

    Broader source: Energy.gov [DOE]

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

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

    SciTech Connect (OSTI)

    Jeffrey Wishart

    2012-02-01

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

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

    SciTech Connect (OSTI)

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

    2013-06-02

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

  7. Chapter 10, Peak Demand and Time-Differentiated Energy Savings Cross-Cutting Protocols: The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures

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

    0: Peak Demand and Time-Differentiated Energy Savings Cross-Cutting Protocols Frank Stern, Navigant Consulting Subcontract Report NREL/SR-7A30-53827 April 2013 The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures 10 - 1 Chapter 10 - Table of Contents 1 Introduction .............................................................................................................................2 2 Purpose of Peak Demand and Time-differentiated Energy

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

    SciTech Connect (OSTI)

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

    2006-08-01

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

  9. monthly_peak_2005.xls

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

    3a . January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, 2005 and Projected 2006 through 2010 (Megawatts and 2005 Base Year) Projected Monthly Base Year Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid FRCC MRO NPCC RFC SERC SPP ERCOT WECC Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW) Peak

  10. ,"Table 3A.1. January Monthly Peak Hour Demand, by North American Electric Reliability Corporation Assesment Area,"

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

    A.1. January Monthly Peak Hour Demand, by North American Electric Reliability Corporation Assesment Area," ,"1996-2010 Actual, 2011-2012 Projected" ,"(Megawatts)" ,"January","NERC Regional Assesment Area" ,,,"Actual",,,,,,,,,,,,,,,"Projected" ,,,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"2011E","2012E" ,"Eastern

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

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

    January 2010" ,"Next Update: October 2010" ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2008 and Projected 2009 through 2010 " ,"(Megawatts and 2008 Base Year)" ,"Projected Monthly Base","Year","Contiguous U.S.","Eastern Power Grid",,,,,,"Texas Power Grid","Western Power Grid"

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

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

    3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, " ,"2005 and Projected 2006 through 2010 " ,"(Megawatts and 2005 Base Year)" ,"Projected Monthly Base","Year","Contiguous U.S.","Eastern Power Grid",,,,,,"Texas Power Grid","Western Power Grid"

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

    SciTech Connect (OSTI)

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

    2013-05-01

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

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

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

    6" ,"Released: February 7, 2008" ,"Next Update: October 2008" ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2007 through 2011 " ,"(Megawatts and 2006 Base Year)" ,"Projected Monthly Base","Year","Contiguous U.S.","Eastern Power Grid",,,,,,"Texas Power Grid","Western Power Grid"

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

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

    7" ,"Released: February 2009" ,"Next Update: October 2009" ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2007 and Projected 2008 through 2009 " ,"(Megawatts and 2007 Base Year)" ,"Projected Monthly Base","Year","Contiguous U.S.","Eastern Power Grid",,,,,,"Texas Power Grid","Western Power Grid"

  16. monthly_peak_2004.xls

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

    Table 3a . January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, 1996 through 2004 and Projected 2005 through 2006 (Megawatts and 2004 Base Year) Projected Monthly Base Year Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid ECAR FRCC MAAC MAIN MAPP/MRO NPCC SERC SPP ERCOT WECC Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour

  17. 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...

  18. Net Metering

    Broader source: Energy.gov [DOE]

    Ohio's net-metering law requires electric distribution utilities to offer net metering to customers who generate electricity using wind energy, solar energy, biomass, landfill gas, hydropower, fu...

  19. 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). 

  20. Net Metering

    Broader source: Energy.gov [DOE]

    NOTE: On October 21, 2015, the NY Public Service Commission denied the Orange and Rockland Utility’s petition to cease offering net-metering and interconnections once the 6% net-metering cap was...

  1. Net Metering

    Broader source: Energy.gov [DOE]

    New Jersey's net-metering rules require state's investor-owned utilities and energy suppliers (and certain competitive municipal utilities and electric cooperatives) to offer net metering at non-...

  2. Net Metering

    Broader source: Energy.gov [DOE]

    Note: In January 2016, the California Public Utilities Commission issued a ruling on its net metering successor tariff. Customers on the new net metering successor tariff will have to pay an...

  3. Net Metering

    Broader source: Energy.gov [DOE]

    NOTE: Although, this post is categorized as netmetering, the policy adopted by MS does not meet DSIRE's standards for a typical net metering policy. Net metering policy allows a customer to offset...

  4. Net Metering

    Broader source: Energy.gov [DOE]

    Net metering is available to all customers of investor-owned utilities and rural electric cooperatives, exempting TVA utilities. Kentucky's requires the use of a single, bi-directional meter for...

  5. monthly_peak_2006.xls

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

    6 Released: February 7, 2008 Next Update: October 2008 Table 3a . January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region 2006 and Projected 2007 through 2011 (Megawatts and 2006 Base Year) Projected Monthly Base Year Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid FRCC MRO NPCC RFC SERC SPP ERCOT WECC Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW) Peak

  6. 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...

  7. Net Metering

    Broader source: Energy.gov [DOE]

    Net metering is available to all "qualifying facilities" (QFs), as defined by the federal Public Utility Regulatory Policies Act of 1978 (PURPA), which pertains to renewable energy systems and co...

  8. Net Metering

    Broader source: Energy.gov [DOE]

     NOTE: The program website listed above links to the Maryland Public Service Commission's Net Metering Working Group page, which contains a variety of information resources related to the ongoing...

  9. Net Metering

    Broader source: Energy.gov [DOE]

    North Dakota's net-metering policy, adopted in 1991 by the state Public Service Commission (PSC), applies to renewable-energy systems and combined heat and power (CHP) systems up to 100 kilowatts...

  10. Net Metering

    Broader source: Energy.gov [DOE]

    In Delaware, net metering is available to any customer that generates electricity using solar, wind or hydro resources, anaerobic digesters, or fuel cells capable of being powered by renewable fu...

  11. 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 ...

  12. Net Metering

    Broader source: Energy.gov [DOE]

    Note: On October 12th, 2015 the Hawaii PUC voted to end net metering in favor of 3 alternative options: a grid supply option, a self-supply option, and a time of use tariff. Customers with net...

  13. Net Metering

    Broader source: Energy.gov [DOE]

    In October 2008, Michigan enacted P.A. 295, requiring the Michigan Public Service Commission (MPSC) to establish a statewide net metering program for renewable energy systems. On May 26, 2009 the...

  14. Net Metering

    Broader source: Energy.gov [DOE]

    Net metering in Virginia is available on a first-come, first-served basis until the rated generating capacity owned and operated by customer-generators reaches 1% of an electric distribution...

  15. Net Metering

    Broader source: Energy.gov [DOE]

    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...

  16. Net Metering

    Broader source: Energy.gov [DOE]

    NOTE: On February 2016, the PA Public Service Commission (PUC) issued a final rulemaking order amending net metering regulations to provide clarity and to comply with the statutes. Changes include...

  17. Net Metering

    Broader source: Energy.gov [DOE]

    There is no stated limit on the aggregate capacity of net-metered systems in a utility's service territory. Any net excess generation (NEG) during a monthly billing period is carried over to the...

  18. Net Metering

    Broader source: Energy.gov [DOE]

    Utah law requires their only investor-owned utility, Rocky Mountain Power (RMP), and most electric cooperatives* to offer net metering to customers who generate electricity using solar energy, wi...

  19. Net Metering

    Broader source: Energy.gov [DOE]

    Net excess generation (NEG) is credited to the customer's next monthly bill. The customer may choose to start the net metering period at the beginning of January, April, July or October to match...

  20. 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...

  1. Net Metering

    Broader source: Energy.gov [DOE]

    In April 2001, Arkansas enacted legislation (HB 2325) directing the Arkansas Public Service Commission (PSC) to establish net-metering rules for certain renewable-energy systems.* The PSC approved...

  2. 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.

  3. Demand Response Research Center and Open Automated Demand Response

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

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

  4. monthly_peak_2003.xls

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

    O Form EIA-411 for 2005 Released: February 7, 2008 Next Update: October 2007 Table 3a . January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, 1996 through 2003 and Projected 2004 through 2005 (Megawatts and 2003 Base Year) Projected Monthly Base Year Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid ECAR FRCC MAAC MAIN MAPP/MR NPCC SERC SPP ERCOT WECC Peak Hour Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW)

  5. Palau- Net Metering

    Broader source: Energy.gov [DOE]

    The Palau Net Metering Act of 2009 established net metering on the Island of Palau. Net metering was implemented in order to:

  6. Peak power ratio generator

    DOE Patents [OSTI]

    Moyer, Robert D. (Albuquerque, NM)

    1985-01-01

    A peak power ratio generator is described for measuring, in combination with a conventional power meter, the peak power level of extremely narrow pulses in the gigahertz radio frequency bands. The present invention in a preferred embodiment utilizes a tunnel diode and a back diode combination in a detector circuit as the only high speed elements. The high speed tunnel diode provides a bistable signal and serves as a memory device of the input pulses for the remaining, slower components. A hybrid digital and analog loop maintains the peak power level of a reference channel at a known amount. Thus, by measuring the average power levels of the reference signal and the source signal, the peak power level of the source signal can be determined.

  7. 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.

  8. Is revenue metering feasible

    SciTech Connect (OSTI)

    Taylor, N.R.

    1985-02-01

    Revenue metering for thermal systems has been in use for more than 100 years. There is an infinite variety of meters based on flow principles, but very limited choice of steam condensate meters. Progress is being made in the application of computer technology to thermal metering. Btu meters are showing substantial progress as the U.S. market increases. There is a lack of traceable standards, application guidelines and approved materials. Strongly needed are educational programs designed for the thermal metering technician. Costs of thermal measurements is, in general, out of balance with other utility type service meters.

  9. 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.

  10. Demand Response | Department of Energy

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

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

  11. 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...

  12. Utility Metering- AGL Resources

    Broader source: Energy.gov [DOE]

    Presentation—given at the Spring 2013 Federal Utility Partnership Working Group (FUPWG) meeting—discusses AGL Resources metering, including interruptible rate customers, large users, and meeting federal metering goals.

  13. monthly_peak_byarea_2010.xls

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

    B.1. FRCC Monthly Peak Hour Demand, by North American Electric Reliability Corporation Assesment Area, 1996-2010 Actual, 2011-2012 Projected (Megawatts) FRCC Year January February ...

  14. Demand Reduction

    Broader source: Energy.gov [DOE]

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

  15. SRP- Net Metering

    Broader source: Energy.gov [DOE]

    Note: Salt River Project (SRP) modified its existing net-metering program for residential customers in February 2015. These changes are effective with the April 2015 billing cycle.

  16. Campo Net Meter Project

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

    Campo Net Meter Project Michael Connolly Miskwish, MA EconomistEngineer Campo Kumeyaay Nation Location map Tribal Energy Planning Current 50 MW project Proposed 160 MW ...

  17. NCEP_Demand_Response_Draft_111208.indd

    Office of Environmental Management (EM)

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

  18. 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.

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

    SciTech Connect (OSTI)

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

    2011-09-30

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

  20. 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.

  1. Idaho Power- Net Metering

    Office of Energy Efficiency and Renewable Energy (EERE)

    In July 2013, the PUC issued an order in response to Idaho Power's application to modify its net metering program. The ruling removed a previously existing service capacity cap of 2.9 MW and chan...

  2. 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...

  3. EWEB- Net Metering

    Broader source: Energy.gov [DOE]

    The Eugene Water and Electric Board (EWEB) offers net metering for customers with renewable energy generation systems with an installed capacity of 25 kW or less. Eligible systems use solar power,...

  4. Austin Energy- Net Metering

    Broader source: Energy.gov [DOE]

    Austin Energy, the municipal utility of Austin Texas, offers net metering to its non-residential retail electricity customers for renewable energy systems up to 20 kilowatts (kW). Austin Energy o...

  5. Guam- Net Metering

    Broader source: Energy.gov [DOE]

    Note: As of October 2015, the net metering program had around 700 customers. According to the Guam Daily Post, the program is expected to reach the current 1,000-customer cap in mid-2016. This cap...

  6. 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...

  7. Net Metering | Open Energy Information

    Open Energy Info (EERE)

    Gas Wind Biomass Geothermal Electric Anaerobic Digestion Small Hydroelectric Tidal Energy Wave Energy No Ashland Electric - Net Metering (Oregon) Net Metering Oregon Commercial...

  8. Schlumberger Electricity Metering | Open Energy Information

    Open Energy Info (EERE)

    Electricity Metering Jump to: navigation, search Name: Schlumberger Electricity Metering Place: Oconee, South Carolina Product: Manufacturer of electricity meters. Coordinates:...

  9. 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.

  10. 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.

  11. Electric Metering | Department of Energy

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

    Electric Metering Electric Metering Saving Money by Saving Energy The Department of Energy has installed meters in the James Forrestal Building that will enable DOE to measure electricity use and costs in its headquarters facility. You may explore this data further by visiting our Forrestal Metering Dashboard at the following website: http://forrestal.nrel.gov The Forrestal electric meters provide daily read-outs and comparison of data on electricity consumption for overhead lighting and power

  12. Flow metering valve

    DOE Patents [OSTI]

    Blaedel, K.L.

    1983-11-03

    An apparatus for metering fluids at high pressures of about 20,000 to 60,000 psi is disclosed. The apparatus includes first and second plates which are positioned adjacent each other to form a valve chamber. The plates are made of materials which have substantially equal elastic properties. One plate has a planar surface area, and the other a recessed surface area defined by periphery and central lips. When the two plates are positioned in adjacent contacting relationship, a valve chamber is formed between the planar surface area and the recessed surface area. Fluid is introduced into the chamber and exits therefrom when a deformation occurs at positions where they no longer form a valve seat. This permits the metering of fluids at high pressures and at slow variable rates. Fluid then exits from the chamber until an applied external force becomes large enough to bring the valve seats back into contact.

  13. Flow metering valve

    DOE Patents [OSTI]

    Blaedel, Kenneth L. (Dublin, CA)

    1985-01-01

    An apparatus for metering fluids at high pressures of about 20,000 to 60,000 psi is disclosed. The apparatus includes first and second plates which are positioned adjacent each other to form a valve chamber. The plates are made of materials which have substantially equal elastic properties. One plate has a planar surface area, and the other a recessed surface area defined by periphery and central lips. When the two plates are positioned in adjacent contacting relationship, a valve chamber is formed between the planar surface area and the recessed surface area. Fluid is introduced into the chamber and exits therefrom when a deformation occurs at positions where they no longer form a valve seat. This permits the metering of fluids at high pressures and at slow variable rates. Fluid then exits from the chamber until an applied external force becomes large enough to bring the valve seats back into contact.

  14. Period meter for reactors

    DOE Patents [OSTI]

    Rusch, Gordon K.

    1976-01-06

    An improved log N amplifier type nuclear reactor period meter with reduced probability for noise-induced scrams is provided. With the reactor at low power levels a sampling circuit is provided to determine the reactor period by measuring the finite change in the amplitude of the log N amplifier output signal for a predetermined time period, while at high power levels, differentiation of the log N amplifier output signal provides an additional measure of the reactor period.

  15. Tips: Smart Meters and a Smarter Power Grid | Department of Energy

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

    The Smart Grid will consist of controls, computers, automation, and new technologies and equipment -- including a smart meter at your home -- working together to respond digitally to our quickly changing electric demand. The Smart Grid will consist of controls, computers, automation, and new technologies and equipment -- including a smart meter at your home -- working together to respond digitally to our quickly changing electric demand. Millions of smart meters have been installed across the

  16. Tips: Smart Meters and a Smarter Power Grid | Department of Energy

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

    Meters and a Smarter Power Grid Tips: Smart Meters and a Smarter Power Grid The Smart Grid will consist of controls, computers, automation, and new technologies and equipment -- including a smart meter at your home -- working together to respond digitally to our quickly changing electric demand. The Smart Grid will consist of controls, computers, automation, and new technologies and equipment -- including a smart meter at your home -- working together to respond digitally to our quickly changing

  17. Net Metering | Department of Energy

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

    the limit on individual system size from 100 kilowatts (kW) to 1 MW . Net Excess Generation: The District's net-metering rules specify that metering equipment must be capable...

  18. Montana Electric Cooperatives- Net Metering

    Broader source: Energy.gov [DOE]

    The Montana Electric Cooperatives' Association (MECA) adopted model interconnection guidelines in 2001 and a revised net-metering policy in September 2008. Net metering is available in whole or...

  19. Washington City Power- Net Metering

    Broader source: Energy.gov [DOE]

    Washington City adopted a net-metering program, including interconnection procedures, in January 2008, and updated the policy in December 2014.* Net metering is available to any customer of...

  20. Net Metering | Department of Energy

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

    commercial) as long as the base requirements are met. All net-metered facilities must be behind a customer's meter, but only a minimal amount of load located on-site is required....

  1. N. Mariana Islands- Net Metering

    Broader source: Energy.gov [DOE]

    Note: The Commonwealth Utility Corporation issued a moratorium on net metering. However, Public Law 18-62 signed September 6, 2014 states that net metering should be available to all residential...

  2. Meters Roads N Streams

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

    0 Meters Roads N Streams o Openwells E3i APT Site *. TES Plants (1) E2J Other Set-Asides lEI] Hydric Soils . 370 o 370 Soils Soil Series and Phase DBaB DBaC .Pk .TrB DTrC DTrD .TuE !iii TuF 740 Compartment 52 Compartment 53 N A sc Figure 5-1. Area. Plant communities and soils associated with the Oak Hickory Forest #1 Set-Aside 5-7 Set-Aside 5: Oak-Hickory Forest 1

  3. Portable wastewater flow meter

    DOE Patents [OSTI]

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

    1999-02-02

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

  4. Portable wastewater flow meter

    DOE Patents [OSTI]

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

    1990-01-01

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

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

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

    Find more case studies of Building America projects across the country that demonstrate ... Building America Top Innovations 2013 Profile - Zero Energy-Ready Single-Family Homes

  6. 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)

  7. Net Metering Resources | Department of Energy

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

    Net Metering Resources Net Metering Resources State net metering policies allow customers to produce onsite electricity and sell excess generation to the utility at a set price,...

  8. Demand Response

    Office of Environmental Management (EM)

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

  9. Commercial & Industrial Demand Response

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

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

  10. Metering Technology Corporation | Open Energy Information

    Open Energy Info (EERE)

    Technology Corporation Jump to: navigation, search Name: Metering Technology Corporation Place: Scotts Valley, California Product: Engineering related to communicating meters....

  11. Electric Metering | Department of Energy

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

    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 the ...

  12. Net Metering | Department of Energy

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

    of retail renewable distributed generation and net metering. Details will be posted once a final order is issued. Eligibility and Availability In December 2005 the Colorado...

  13. Net Metering | Department of Energy

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

    who generate electricity using solar, wind, hydroelectric, geothermal, biomass, biogas, combined heat and power, or fuel cell technologies.* A net metering facility must be...

  14. Net Metering | Department of Energy

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

    Anaerobic Digestion Fuel Cells using Renewable Fuels Program Info Sector Name State State North Carolina Program Type Net Metering Summary The North Carolina Utilities Commission...

  15. Net Metering | Department of Energy

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

    after 12312014) are eligible. Net-metered systems must be intended primarily to offset part or all of a customer's electricity requirements. Public utilities may not limit...

  16. Bandwidth Historical Peak Days

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

    Bandwidth Historical Peak Days Bandwidth Historical Peak Days These plots show yearly peak days from 2000 to the present. BE CAREFUL because the graphs are autoscaling - check the scales on each axis before you compare graphs. Note that the graph for current year shows the data for the year-to-date peak. Transfer Rate vs. Size Transfer Rate vs. Size Transfer Rate vs. Size Transfer Rate vs. Size Transfer Rate vs. Size Transfer Rate vs. Size Transfer Rate vs. Size Transfer Rate vs. Size Transfer

  17. Wavelength meter having elliptical wedge

    DOE Patents [OSTI]

    Hackel, R.P.; Feldman, M.

    1992-12-01

    A wavelength meter is disclosed which can determine the wavelength of a laser beam from a laser source within an accuracy range of two parts in 10[sup 8]. The wavelength meter has wedge having an elliptically shaped face to the optical path of the laser source and includes interferometer plates which form a vacuum housing. 7 figs.

  18. 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.

  19. 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.

  20. Grays Harbor PUD- Net Metering

    Broader source: Energy.gov [DOE]

    Washington's original net-metering law, which applies to all electric utilities, was enacted in 1998 and amended in 2006. Individual systems are limited to 100 kilowatts (kW) in capacity. Net...

  1. Advanced Sub-Metering Program

    Broader source: Energy.gov [DOE]

    The program is designed to provide information about energy usage for each residences at a multi-residential buildings. Residences living in multi-residential buildings that are not sub-metered d...

  2. Blue Ridge EMC- Net Metering

    Broader source: Energy.gov [DOE]

    The Blue Ridge Electric Membership Corporation offers net metering to its residential customers with solar photovoltaic, wind, or micro-hydro generators up to 25 kilowatts. There is no aggregate...

  3. Net Metering | Department of Energy

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

    Renewable energy facilities established on military property for on-site military consumption may net meter for systems up to 2.2 megawatts (MW, AC). Aggregate Capacity Limit...

  4. Valley Electric Association- Net Metering

    Broader source: Energy.gov [DOE]

    The Board of Directors for Valley Electric Association (VEA) approved net metering in April 2008. The rules apply to systems up to 30 kW, though owners of larger systems may be able to negotiate...

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Measuring the capacity impacts of demand response

    SciTech Connect (OSTI)

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

    2009-07-15

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

  11. 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.

  12. LNG production for peak shaving operations

    SciTech Connect (OSTI)

    Price, B.C.

    1999-07-01

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

  13. PEAK READING VOLTMETER

    DOE Patents [OSTI]

    Dyer, A.L.

    1958-07-29

    An improvement in peak reading voltmeters is described, which provides for storing an electrical charge representative of the magnitude of a transient voltage pulse and thereafter measuring the stored charge, drawing oniy negligible energy from the storage element. The incoming voltage is rectified and stored in a condenser. The voltage of the capacitor is applied across a piezoelectric crystal between two parallel plates. Amy change in the voltage of the capacitor is reflected in a change in the dielectric constant of the crystal and the capacitance between a second pair of plates affixed to the crystal is altered. The latter capacitor forms part of the frequency determlning circuit of an oscillator and means is provided for indicating the frequency deviation which is a measure of the peak voltage applied to the voltmeter.

  14. FERC sees huge potential for demand response

    SciTech Connect (OSTI)

    2010-04-15

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

  15. Federal Building Metering Guidance (Per U.S.C. 8253(e), Metering of Energy

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

    Use) | Department of Energy Building Metering 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 appropriate to meter, provides metering prioritization recommendations for agencies with limited resources, and discusses the requirement for agencies to submit metering implementation plans to the U.S. Department of Energy. PDF icon Download the Federal Building

  16. Desert Peak EGS Project

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

    Desert Peak EGS Project DOE Award: DE-FC6-02ID14406 Ethan Chabora GeothermEx, a Schlumberger Company Ezra Zemach Ormat Nevada Inc. Project Officer: Bill Vandermeer Total Project Funding: $7.6M April 22nd, 2013 This presentation does not contain any proprietary confidential, or otherwise restricted information. Insert photo of your choice 2 | US DOE Geothermal Program eere.energy.gov - Timeline * Project start date: September 2002 * Project end date: Q3 2013 * Percentage complete: 90% - Budget *

  17. Advanced Metering Infrastructure Security Considerations | Department of

    Energy Savers [EERE]

    Energy Metering Infrastructure Security Considerations Advanced Metering Infrastructure Security Considerations The purpose of this report is to provide utilities implementing Advanced Metering Infrastructure (AMI) with the knowledge necessary to secure that implementation appropriately. We intend that utilities use this report to guide their planning, procurement, roll-out, and assessment of the security of Advanced Metering Infrastructure. PDF icon Advanced Metering Infrastructure Security

  18. 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.

  19. Government Program Briefing: Smart Metering

    Broader source: Energy.gov [DOE]

    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.

  20. Mode Meter - Energy Innovation Portal

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

    Analysis Energy Analysis Find More Like This Return to Search Mode Meter Pacific Northwest National Laboratory Contact PNNL About This Technology Technology Marketing Summary Electricity grids have traditionally been monitored using systems based upon dated and slow communications and computational technologies. A large effort is underway in the electricity industry to replace those legacy systems with high-speed and accurate monitoring units call "phasor monitoring units," or PMUs.

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

    ScienceCinema (OSTI)

    Piette, Mary Ann

    2011-04-28

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

  2. greenMeter | Open Energy Information

    Open Energy Info (EERE)

    physics engine from the gMeter app, greenMeter computes power, fuel usagecost, crude oil consumption, and carbon emission (data can be shown in US or metric units). Thanks to...

  3. Laser Power Meter Version 1.0

    Energy Science and Technology Software Center (OSTI)

    2002-09-19

    Laser Power Meter integrates the digital output of a Newport 1835-C Laser Energy Meter and inserts the results into the file header of a WinSpec experimental file.

  4. Metering in Federal Buildings | Department of Energy

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

    & Maintenance » Metering in Federal Buildings Metering in Federal Buildings The U.S. Department of Energy is required by the Energy Policy Act of 2005 and Executive Order 13693 to establish guidelines for agencies to meter their federal buildings for energy (electricity, natural gas, and steam) and water use. To help agencies meet these metering requirements, the Federal Energy Management Program (FEMP) provides guidance materials, an implementation plan template, and a best practices

  5. Coordination of Energy Efficiency and Demand Response

    SciTech Connect (OSTI)

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

    2010-01-29

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

  6. Application of IEEE Standard 519-1992 harmonic limits for revenue billing meters

    SciTech Connect (OSTI)

    Arseneau, R.; Heydt, G.T.; Kempker, M.J.

    1997-01-01

    This paper identifies the potential for billing inequities at harmonic generating loads due to different measuring methods implemented in revenue meters. Potential problems are almost exclusively in the commercial and industrial sectors where demand and power factor charges are common. Field data are used to illustrate that compliance with IEEE Standard 519-1992 reduces the possibility of meter reading differences thus promoting a more equitable treatment of all customers.

  7. Cross-sector Demand Response

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

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

  8. Aggregate Transfers Historical Yearly Peak

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

    Transfers Historical Yearly Peak Aggregate Transfers Historical Yearly Peak These plots show the yearly peak days from 2000 to the present. BE CAREFUL because the graphs are autoscaling - check the scales on each axis before you compare graphs. Note that the graph for current year shows the data for the year-to-date peak. Daily Aggregate Bandwidth Daily Aggregate Bandwidth Daily Aggregate Bandwidth Daily Aggregate Bandwidth Daily Aggregate Bandwidth Daily Aggregate Bandwidth Daily Aggregate

  9. Concurrent Transfers Historical Yearly Peak

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

    Transfers Historical Yearly Peak Concurrent Transfers Historical Yearly Peak These plots show the yearly peak days from 2000 to present. BE CAREFUL because the graphs are autoscaling - check the scales on each axis before you compare graphs. Note that the graph for current year shows the data for the year-to-date peak. Daily Storage Concurrency Daily Storage Concurrency Daily Storage Concurrency Daily Storage Concurrency Daily Storage Concurrency Daily Storage Concurrency Daily Storage

  10. 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

  11. El Paso Electric - Net Metering | Department of Energy

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

    Website http:www.epelectric.comtxbusinessrollback-net-metering-approved-in-... State Texas Program Type Net Metering Summary El Paso Electric (EPE) has offered net metering to...

  12. 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.

  13. Demand Response Analysis Tool

    SciTech Connect (OSTI)

    2012-03-01

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

  14. Demand Response Analysis Tool

    Energy Science and Technology Software Center (OSTI)

    2012-03-01

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

  15. Transfer Activity Historical Yearly Peak

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

    Activity Historical Yearly Peak Transfer Activity Historical Yearly Peak The plots below show the yearly peak days from 2000 to the present. BE CAREFUL because the graphs are autoscaling - check the scales on each axis before you compare graphs. Note that the graph for the current year shows the data for the year-to-date peak. Transfers Started/In Progress Transfers Started/In Progress Transfers Started/In Progress Transfers Started/In Progress Transfers Started/In Progress Transfers Started/In

  16. Concurrent Transfers Historical Yearly Peak

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

    the graph for current year shows the data for the year-to-date peak. Daily Storage Concurrency Daily Storage Concurrency Daily Storage Concurrency Daily Storage Concurrency Daily...

  17. winter_peak_2006.xls

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

    b . Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, 2006 and Projected 2007 through 2011 (Megawatts and 2006 Base ...

  18. winter_peak_2005.xls

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

    2b . Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Council Region, 2005 and Projected 2006 through 2010 (Megawatts and 2005 Base Year)...

  19. winter_peak_2004.xls

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

    b . Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Council Region, 1990 through 2004 and Projected 2005 through 2009 (Megawatts and...

  20. 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).

  1. Federal Building Metering Implementation Plan Template | Department of

    Energy Savers [EERE]

    Energy Building Metering Implementation Plan Template Federal Building Metering Implementation Plan Template Document provides a template for a federal building metering implementation plan. File metering_implementation_template.docx

  2. City of St. George- Net Metering

    Broader source: Energy.gov [DOE]

    The City of St. George Energy Services Department (SGESD) offers a net metering program to its customers, and updated program guidelines and fees in September 2015.* 

  3. A Million Meter Milestone | Department of Energy

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

    A Million Meter Milestone A Million Meter Milestone March 4, 2011 - 2:36pm Addthis To see what installing the 1 millionth meter looked like, check out this video. Don Macdonald Don Macdonald Senior Advisor for Strategic Projects What does this mean for me? Smart meters allow consumers to take personal control and ownership of her energy usage in a way not possible before. As program manager for the Department of Energy's Recovery Act funded Smart Grid Investment Grant (SGIG) program, I've had

  4. BPA Metering Services Editing and Estimating Procedures

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

    an unmetered condition An unmetered event will be identified through one of the following methods: 1) The Field Forms application (via Metering Services email), 2) An email...

  5. DOE Releases Federal Building Metering Guidance | Department...

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

    Management (Dec. 5, 2013), re-emphasized the requirements for installing electricity, natural gas, and steam meters and provided an additional requirement for installing water...

  6. Smart Meters on Tap for Owasso, Oklahoma

    Broader source: Energy.gov [DOE]

    Saving 10 percent of annual energy and increasing response time for electrical emergencies? Find out how smart meters can make cities smarter.

  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. Demand Dispatch-Intelligent

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

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

  9. Residential Demand Response

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

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

  10. Managing Increased Charging Demand

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

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

  11. Proton recoil scintillator neutron rem meter

    DOE Patents [OSTI]

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

    2003-01-01

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

  12. Northwest Open Automated Demand Response Technology Demonstration Project

    SciTech Connect (OSTI)

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

    2009-08-01

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

  13. Desert Peak Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Desert Peak Geothermal Area (Redirected from Desert Peak Area) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Desert Peak Geothermal Area Contents 1 Area Overview 2...

  14. monthly_peak_bymonth_2010.xls

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

    A.1. January Monthly Peak Hour Demand, by North American Electric Reliability Corporation Assesment Area, 1996-2010 Actual, 2011-2012 Projected (Megawatts) January NERC Regional Assesment Area 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011E 2012E FRCC 39,860 37,127 27,122 38,581 37,521 40,258 39,675 45,033 35,545 41,247 34,464 38,352 41,705 44,945 53,093 46,839 47,613 NPCC 41,680 41,208 40,009 44,199 45,227 43,553 42,039 45,987 66,215 47,041 43,661 45,002 46,803

  15. 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.

  16. Demand Response- Policy

    Broader source: Energy.gov [DOE]

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

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

    SciTech Connect (OSTI)

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

    2005-02-01

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

  18. Demand Response Dispatch Tool

    SciTech Connect (OSTI)

    2012-08-31

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

  19. Demand Dispatch-Intelligent

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

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

  20. Peak finding using biorthogonal wavelets

    SciTech Connect (OSTI)

    Tan, C.Y.

    2000-02-01

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

  1. summer_peak_2005.xls

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

    a . Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Council Region, 2005 and Projected 2006 through 2010 (Megawatts and 2005 Base Year) Summer Noncoincident Peak Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid Projected Year Base Year FRCC MRO (U.S.) NPCC (U.S.) RFC SERC SPP ERCOT WECC (U.S.) 2005 758,876 46,396 39,918 58,960 190,200 190,705 41,727 60,210 130,760 Projected Contiguous U.S. FRCC MRO (U.S.) NPCC (U.S.) RFC SERC SPP

  2. summer_peak_2006.xls

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

    a . Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, 2006 and Projected 2007 through 2011 (Megawatts and 2006 Base Year) Summer Noncoincident Peak Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid Projected Year Base Year FRCC MRO (U.S.) NPCC (U.S.) RFC SERC SPP ERCOT WECC (U.S.) 2006 789,475 45,751 42,194 63,241 191,920 199,052 42,882 62,339 142,096 Projected Contiguous U.S. FRCC MRO (U.S.) NPCC (U.S.) RFC SERC

  3. winter_peak_2003.xls

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

    ) Form EIA-411 for 2005 Released: February 7, 2008 Next Update: October 2007 Table 2b . Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Council Region, 1990 through 2003 and Projected 2004 through 2008 (Megawatts and 2003 Base Year) Winter Noncoincident Peak Load Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid Projected Year Base Year ECAR FRCC MAAC MAIN MAPP (U.S. NPCC (U.S.) SERC SPP ERCOT WECC (U.S.) 1990/1991 484,231 67,097

  4. Smart Meters | OpenEI Community

    Open Energy Info (EERE)

    Smart Meters Home Graham7781's picture Submitted by Graham7781(2017) Super contributor 16 January, 2013 - 11:09 SDG&E Customers Can Connect Home Area Network Devices With Smart...

  5. 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...

  6. June 25 Webinar to Explore Net Metering

    Broader source: Energy.gov [DOE]

    Register for the Net Metering webinar, which will be held on Wednesday, June 25, 2014, from 11 a.m. to 12:30 p.m. Mountain time.

  7. meter data | OpenEI Community

    Open Energy Info (EERE)

    by Graham7781(2017) Super contributor 26 June, 2013 - 09:17 NREL's Energy Databus storing big energy data campus databus energy meter data NREL OpenEI Tool The Energy Databus began...

  8. Aggregate Net Metering Opportunities for Local Governments

    Broader source: Energy.gov [DOE]

    This guide summarizes the variations in state laws that determine whether or not meter aggregation is an option for local governments, explores the unique opportunities that it can extend to public...

  9. Murray City Power- Net Metering Pilot Program

    Broader source: Energy.gov [DOE]

    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...

  10. U.S. Virgin Islands- Net Metering

    Broader source: Energy.gov [DOE]

    In February 2007, the U.S. Virgin Islands Public Services Commission approved a limited net-metering program for residential and commercial photovoltaic (PV), wind-energy or other renewable energ...

  11. 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 "Commercial",4805138,4691018,4341105,4611877 "Industrial",201873,185862,172692,159315 "Transportation",1202,125,77,626 "AMI meters",51924502,43165183,37290373,20334525 "Residential",46083727,38524639,33453548,18369908

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

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

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

  13. 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.

  14. 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...

  15. Working With Your Utility to Obtain Metering Services

    Broader source: Energy.gov [DOE]

    Presentation—given at the Spring 2013 Federal Utility Partnership Working Group (FUPWG) meeting—covers the government metering requirement, the U.S. Department of Defense (DoD) metering directive, and customer metering services available from utilities.

  16. RWE Metering GmbH | Open Energy Information

    Open Energy Info (EERE)

    GmbH Jump to: navigation, search Name: RWE Metering GmbH Place: Germany Product: Smart metering subsidiary of Germany's second largest utility RWE AG. References: RWE Metering...

  17. Nevada Smart Meter Program Launches | Department of Energy

    Energy Savers [EERE]

    Smart Meter Program Launches Nevada Smart Meter Program Launches October 18, 2010 - 11:30am Addthis Workers began installing smart meters for NV Energy's smart meter project three weeks ago. The project is expected to create 200 jobs, according to NV Energy. | Photo courtesy of NV Energy Workers began installing smart meters for NV Energy's smart meter project three weeks ago. The project is expected to create 200 jobs, according to NV Energy. | Photo courtesy of NV Energy Paul Lester Paul

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

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

    More Documents & Publications Federal Building Metering Implementation Plan Template Federal Building Energy Use Benchmarking Guidance, August 2014 Update Guidance for the ...

  19. Demand Response Dispatch Tool

    Energy Science and Technology Software Center (OSTI)

    2012-08-31

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

  20. Centralized and Decentralized Control for Demand Response

    SciTech Connect (OSTI)

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

    2011-04-29

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

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

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

    Metering Best Practices: A Guide to Achieving Utility Resource Efficiency Metering Best Practices: A Guide to Achieving Utility Resource Efficiency Guide describes information...

  2. Meter Scale Plasma Source for Plasma Wakefield Experiments (Journal...

    Office of Scientific and Technical Information (OSTI)

    Meter Scale Plasma Source for Plasma Wakefield Experiments Citation Details In-Document Search Title: Meter Scale Plasma Source for Plasma Wakefield Experiments Authors:...

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

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

    Five Million Smart Meters Installed Nationwide as Part of Grid Modernization Effort Energy Secretary Chu Announces Five Million Smart Meters Installed Nationwide as Part of Grid...

  4. Metering Best Practices: A Guide to Achieving Utility Resource Efficiency

    SciTech Connect (OSTI)

    2015-03-02

    Guide describes information about energy and resource metering at federal facilities, including metering requirements under the Energy Policy Act of 2005.

  5. Extreme Adaptive Optics for the Thirty Meter Telescope (Conference...

    Office of Scientific and Technical Information (OSTI)

    Extreme Adaptive Optics for the Thirty Meter Telescope Citation Details In-Document Search Title: Extreme Adaptive Optics for the Thirty Meter Telescope You are accessing a...

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

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

    Utilizing Sub-Metering to Drive Energy Project Approvals Through Data Solutia: Utilizing Sub-Metering to Drive Energy Project Approvals Through Data This case study describes how...

  7. Silver Peak Innovative Exploration Project

    Broader source: Energy.gov [DOE]

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

  8. Texas Nuclear Profile - Comanche Peak

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

    Comanche Peak" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date" 1,"1,209","9,677",91.4,"PWR","application/vnd.ms-excel","application/vnd.ms-excel"

  9. Demand Charges | Open Energy Information

    Open Energy Info (EERE)

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

  10. Desert Peak EGS Project | Department of Energy

    Office of Environmental Management (EM)

    Desert Peak EGS Project Desert Peak EGS Project Desert Peak EGS Project presentation at the April 2013 peer review meeting held in Denver, Colorado. PDF icon desert_peak_egs_peer2013.pdf More Documents & Publications Desert Peak EGS Project Bradys EGS Project Creation of an Engineered Geothermal System through Hydraulic and Thermal Stimulation

  11. Iowa Association of Municipal Utilities Smart Grid Project |...

    Open Energy Info (EERE)

    demand reductions during peak periods.3 Equipment Approx. 5,450 Smart Meters AMI Communication Systems Meter Communications Network Backhaul Communications Meter Data...

  12. Table 12. Advanced metering, 2007 through 2013

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

    Alabama" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",1744297,1582760,137399,1546233,1175077,110675,105694 "Residential",1518981,1381543,121843,1352435,1029039,98707,92194 "Commercial",218762,195291,15383,188053,142132,11957,11999 "Industrial",6554,5926,173,5745,3906,11,1501 "Transportation",0,0,0,0,0,0,0 "AMI meters",338352,216201,1610285,108179,96024,85177,88231

  13. Table 12. Advanced metering, 2007 through 2013

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

    Arkansas" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",230418,261023,262683,318606,300790,239851,109188 "Residential",205920,231422,236070,287123,272669,223219,105408 "Commercial",22594,22467,19931,24091,21425,11089,3772 "Industrial",1904,7134,6682,7392,6696,5543,8 "Transportation",0,0,0,0,0,0,0 "AMI meters",421297,278395,174388,85163,54081,51982,46525

  14. 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",204000,206539,204690,195920,124976,51007,24817 "Commercial",28129,26000,25582,24807,14408,7529,2220 "Industrial",759,731,644,535,490,457,20 "Transportation",0,0,0,0,0,0,0 "AMI meters",12272,3766,3408,3213,3106,2753,4 "Residential",11593,3423,3119,2951,3083,2744,3

  15. Table 12. Advanced metering, 2007 through 2013

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

    Arizona" "Technology by sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007 "AMR meters",380098,339368,314854,246497,666915,500476,354452 "Residential",342033,307265,287712,225362,631062,480824,351548 "Commercial",26918,23326,21051,17703,35711,19592,2898 "Industrial",11147,8777,6091,3432,142,60,6 "Transportation",0,0,0,0,0,0,0 "AMI meters",2091766,1767206,1643430,1234009,400980,192860,155031

  16. 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",699209,481305,319842,1520278,278976,221857,167236 "Commercial",115318,90939,97104,164498,57736,15597,12701 "Industrial",13070,8699,14912,12189,9152,1178,1241 "Transportation",73,14,0,0,0,2,2 "AMI meters",12427747,10580445,10610811,4036383,2636757,363353,140042

  17. 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",1491944,1425970,1502253,1517327,1387937,1306346,206747 "Commercial",146263,121673,115391,115899,106007,102596,23667 "Industrial",5587,5084,5096,3016,1481,1770,705 "Transportation",0,0,0,0,0,0,0 "AMI meters",305731,242832,182651,173921,117738,17270,388

  18. 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",1324280,1334604,1350835,1393474,1391016,1394732,1343996 "Commercial",141213,142227,141092,138781,138239,137617,132856 "Industrial",4383,4526,4505,4461,1651,1822,1788 "Transportation",0,0,0,0,0,0,0 "AMI meters",147008,128595,99755,36069,1784,1213,2463

  19. 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",105342,103234,102397,364709,52679,106326,20361 "Commercial",11207,10828,10619,40773,3989,3637,389 "Industrial",165,234,236,246,34,124,0 "Transportation",0,0,0,0,0,0,0 "AMI meters",307904,297247,297308,100,72000,48603,0

  20. 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",1046,1722,3108,32964,27174,29415,892 "Commercial",1139,1266,1548,3022,2595,2584,2670 "Industrial",3,3,3,1,1,1,0 "Transportation",0,0,0,0,0,0,0 "AMI meters",269876,246642,29650,0,0,0,0 "Residential",245295,230705,27695,0,0,0,0

  1. 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",3139468,3455396,3325863,3024574,2953200,2378958,2351242 "Commercial",254631,298694,308099,204383,262736,199331,64901 "Industrial",1649,1886,3565,1893,986,1047,487 "Transportation",0,1,0,548,0,1,0 "AMI meters",5707660,4900737,3221462,2087870,308206,181984,44549

  2. 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",556807,552232,467749,440914,393533,292233,269843 "Commercial",68008,59406,51774,44378,39314,23245,24111 "Industrial",2193,2331,1808,2538,2429,2164,1471 "Transportation",0,0,0,0,0,0,0 "AMI meters",3771777,3456641,3208987,2329510,1486413,778441,56921

  3. 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",32688,53083,44459,42324,38779,26141,21191 "Commercial",974,4186,2412,2587,2394,2350,1629 "Industrial",0,0,0,0,28,21,0 "Transportation",0,0,0,0,0,0,0 "AMI meters",29489,30,758,9213,8713,8126,6571 "Residential",25136,0,438,8040,7727,7154,5697

  4. 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",155125,147140,142398,122329,133724,128395,82814 "Commercial",21730,20916,20529,19850,17042,17904,5401 "Industrial",638,629,640,580,238,480,5 "Transportation",0,0,0,0,0,0,0 "AMI meters",548969,542009,536130,353867,225474,49380,0

  5. 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",888394,869121,894434,902092,872418,773309,493378 "Commercial",105317,101051,100648,97601,98067,75669,54444 "Industrial",3382,3492,2999,2685,3018,2305,1227 "Transportation",315,0,0,0,2,2,6 "AMI meters",381906,305272,181667,150202,19121,9954,28114

  6. 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",1115322,1167245,990346,965867,947409,868170,371539 "Commercial",131027,113006,102278,91550,88929,81696,10751 "Industrial",4729,4362,2478,2261,1834,1294,290 "Transportation",496,0,0,0,0,0,0 "AMI meters",414513,303192,257567,211145,164837,72679,11028

  7. 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",646196,624355,620170,615649,612354,495955,124347 "Commercial",97104,97466,93000,92968,85137,62661,14851 "Industrial",1134,762,397,1622,205,438,58 "Transportation",4,0,0,0,0,0,0 "AMI meters",150555,143163,128116,121751,74120,48847,14946

  8. 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",303782,289091,276856,343492,264664,260503,41763 "Commercial",44125,41789,39968,52910,41425,38520,10237 "Industrial",1929,4413,3884,3681,2770,1711,1919 "Transportation",0,0,0,0,0,0,0 "AMI meters",242858,184292,108395,41781,20570,25047,5878

  9. 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",465927,534181,484008,439680,479635,480572,422463 "Commercial",65386,71883,62353,54453,48318,44688,22493 "Industrial",1558,1526,1960,1342,1218,1150,190 "Transportation",0,0,0,0,0,0,0 "AMI meters",505780,355451,330218,211996,147835,118209,23961

  10. 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",344167,330690,318544,316995,309010,267588,192187 "Commercial",24657,24380,24208,24551,21202,14922,9945 "Industrial",3017,2509,1511,1220,1345,1487,1257 "Transportation",0,0,0,0,0,0,0 "AMI meters",396398,220128,40063,34087,12021,3597,2

  11. 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 "Commercial",307,240,190,822,14701,1577,749 "Industrial",60,100,100,302,302,302,340 "Transportation",0,0,0,0,0,0,0 "AMI meters",739583,735415,669482,193415,0,0,0 "Residential",657380,654512,602750,170941,0,0,0

  12. 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",549148,799807,823936,815476,804226,782901,659322 "Commercial",61658,76998,78818,74100,71203,62242,66226 "Industrial",239,214,339,325,11,11,0 "Transportation",0,0,0,0,0,0,86 "AMI meters",1159371,498806,912,896,1034,810,0

  13. 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",2579059,2527224,2500177,2325333,2300444,2103743,2072453 "Commercial",234458,224070,215022,306584,303458,284904,253942 "Industrial",2215,1795,1821,2841,1257,900,1356 "Transportation",0,0,0,0,0,0,0 "AMI meters",71178,59601,46241,39076,35489,37270,28021

  14. 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",292051,283561,272718,318011,299426,246630,174020 "Commercial",44463,41134,40083,38141,32779,24761,14476 "Industrial",1462,1390,1410,3209,1697,1460,1110 "Transportation",0,0,0,0,0,0,0 "AMI meters",1351082,947546,735450,334065,198442,200415,187349

  15. 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",1730915,1735168,1733724,1805096,1709999,1567837,333575 "Commercial",172309,176721,165245,170062,162297,149294,29352 "Industrial",10087,10817,10137,10715,1808,1317,1020 "Transportation",26,0,0,0,0,0,0 "AMI meters",245897,121264,172810,91395,66777,53561,10203

  16. 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",237034,117623,101376,130228,90425,80463,20942 "Commercial",32633,16705,12952,12658,11393,10084,2156 "Industrial",3451,2350,2128,1368,1827,1076,1145 "Transportation",0,0,0,0,0,0,0 "AMI meters",363360,274884,153279,48308,9465,1610,0

  17. 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",1696195,1709394,1698061,1736715,1705866,1728577,1372572 "Commercial",216779,219525,213325,217255,210496,199759,167190 "Industrial",7497,6159,6088,5967,4981,5077,6243 "Transportation",0,0,0,0,0,0,1 "AMI meters",357449,314812,295556,222019,160446,60909,1882

  18. 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",448313,430824,429479,423471,417166,345119,304959 "Commercial",67155,61129,57161,56837,62129,51022,41698 "Industrial",4550,3723,2767,2424,2387,1552,954 "Transportation",0,0,0,0,0,0,0 "AMI meters",18851,18830,17593,11991,6459,3532,212

  19. 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",451388,444819,430631,415589,392296,349786,333774 "Commercial",69711,67398,62997,59285,52508,44771,43230 "Industrial",13943,11733,10368,9509,9285,5288,3004 "Transportation",0,0,0,0,0,0,0 "AMI meters",123139,106301,91917,70111,40182,10725,25

  20. 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",44206,30907,72579,69795,85984,74356,59256 "Commercial",7729,5975,7473,7374,9197,7333,4305 "Industrial",1548,1319,1447,1123,877,303,295 "Transportation",0,0,0,0,0,0,0 "AMI meters",1125193,1021241,555414,20665,0,0,0 "Residential",994812,919971,542609,18237,0,0,0

  1. 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",67647,60510,58467,47171,43959,42402,41078 "Commercial",1604,1347,1045,5910,5929,5864,5401 "Industrial",0,0,0,212,210,44,26 "Transportation",0,0,0,0,0,0,0 "AMI meters",156960,153882,100345,76125,76085,72512,75094

  2. 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",35775,28906,23442,31700,15987,11031,7263 "Commercial",1455,10789,10095,9635,8772,8234,621 "Industrial",876,2122,1866,1909,2258,1789,236 "Transportation",19,10,9,10,1,0,12 "AMI meters",34919,11533,11610,0,0,0,0 "Residential",22109,11454,11531,0,0,0,0

  3. 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",192195,206606,198130,207663,226923,209009,110488 "Commercial",21811,21656,21246,19675,16998,7022,2000 "Industrial",689,948,903,1165,838,403,231 "Transportation",0,0,0,0,0,0,0 "AMI meters",108505,80808,72506,46139,24384,6215,0

  4. 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",2848664,2295268,2140229,2044476,2005137,1555371,1410652 "Commercial",202417,218735,187424,178662,158992,145798,123436 "Industrial",1255,1124,1148,507,199,196,196 "Transportation",188,0,0,0,1,1,1 "AMI meters",28411,23758,18785,12675,11162,10872,1553

  5. 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",3322965,3255122,3396907,3656223,3322323,3250613,1878066 "Commercial",381832,355716,368487,369622,393894,268784,169438 "Industrial",3842,3098,2875,2120,1886,2490,1365 "Transportation",0,0,0,0,0,0,0 "AMI meters",869185,716349,556214,420956,285532,206150,30759

  6. 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",225851,141249,139162,154904,129384,111817,37069 "Commercial",42282,26052,22916,23171,18971,11124,3873 "Industrial",6642,4595,3204,2985,1198,920,61 "Transportation",0,0,0,0,0,0,0 "AMI meters",85007,72431,64037,42676,25380,11406,14500

  7. 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",976072,867682,680331,582725,525578,475653,257499 "Commercial",86314,75747,44209,37864,35575,34425,18264 "Industrial",6221,5135,2572,2376,2227,1922,1726 "Transportation",19,0,0,0,0,0,0 "AMI meters",953964,716772,506635,287441,95769,27974,16631

  8. 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",332981,377207,376188,400471,342530,351012,244516 "Commercial",49803,51627,49838,54788,48517,48392,33162 "Industrial",2216,2036,1091,3743,1024,1022,202 "Transportation",0,0,0,0,0,0,0 "AMI meters",1082432,968785,715368,332888,124060,44245,17169

  9. 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",168007,158650,161735,163234,167965,167090,86244 "Commercial",14848,13699,17315,15885,13539,10954,5115 "Industrial",1042,1128,1023,1186,1165,1060,591 "Transportation",0,0,0,0,0,0,0 "AMI meters",1044864,1034711,939933,900290,190480,21408,6334

  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",461380,461788,460721,409497,407884,406169,400631 "Commercial",10008,8640,6625,47728,50591,44969,50037 "Industrial",0,0,0,283,0,0,0 "Transportation",0,0,0,0,0,0,0 "AMI meters",211,211,205,0,0,0,0 "Residential",0,0,0,0,0,0,0

  11. 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",1621880,1600626,1596247,1678999,1490280,1348053,862204 "Commercial",225016,213938,212061,218049,209287,161774,99865 "Industrial",1404,1626,1514,928,787,1065,1010 "Transportation",0,0,0,0,0,0,0 "AMI meters",354418,271427,230942,205017,150689,119149,49293

  12. 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",140673,143049,159847,171557,79340,60552,31632 "Commercial",20385,19257,20260,19532,8695,5801,2011 "Industrial",1432,1444,1800,2261,1019,590,352 "Transportation",0,0,0,0,0,0,0 "AMI meters",152199,127805,102671,95155,22793,16820,0

  13. 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",643429,276292,285239,41482,41208,41115,40438 "Commercial",85467,32375,34115,3830,2629,2711,5802 "Industrial",1703,902,687,61,33,35,0 "Transportation",0,0,0,0,0,0,0 "AMI meters",1094256,515971,336940,0,0,0,0 "Residential",926872,450089,304126,0,0,0,0

  14. 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",2073428,2396415,2160965,2378327,3560320,2294696,942621 "Commercial",178381,230398,177755,219325,186979,214217,74475 "Industrial",27180,23001,23525,11426,11459,4935,2414 "Transportation",0,0,0,0,0,0,0 "AMI meters",7840588,6880155,5658595,3337913,296252,174508,20600

  15. 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",861955,849405,821766,814440,772961,722710,361979 "Commercial",81853,78179,77565,92519,77666,67851,12272 "Industrial",4079,4100,3935,5657,656,536,48 "Transportation",0,8,0,0,0,0,0 "AMI meters",44150,22480,35163,17080,12860,2485,1

  16. 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",48343,39930,76274,73703,71100,65176,53306 "Commercial",4901,4481,8121,7325,6861,6100,5169 "Industrial",22,19,14,2,2,2,2 "Transportation",0,0,0,0,0,0,0 "AMI meters",271526,343769,123,0,0,0,0 "Residential",229844,294918,116,0,0,0,0

  17. 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",2742598,2851174,2841255,2930873,2825185,2842167,2730183 "Commercial",234244,240960,236618,226654,220991,209453,204144 "Industrial",2071,2245,2018,1722,1434,1652,160 "Transportation",0,0,0,0,0,0,0 "AMI meters",532415,400698,306378,158244,105371,8402,0

  18. 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",1525473,1494345,1474547,1436056,1177320,1203954,1014025 "Commercial",182666,182010,177498,170267,144934,137882,124770 "Industrial",7569,5126,4891,4962,4255,4205,4261 "Transportation",0,0,0,0,0,0,1 "AMI meters",133299,85171,83353,76591,54484,46121,10670

  19. 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",439830,394660,399243,402817,387552,389596,381604 "Commercial",78280,67228,70415,67890,47130,47431,66840 "Industrial",2747,2614,3459,3370,1694,1737,0 "Transportation",0,0,0,0,0,0,0 "AMI meters",116,81,0,0,95,0,0 "Residential",116,81,0,0,88,0,0

  20. 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",181206,166730,162523,114344,141179,114795,24873 "Commercial",37340,36283,37200,27897,29852,20219,1204 "Industrial",7349,7176,7041,5644,4738,4570,101 "Transportation",0,15,0,0,0,0,0 "AMI meters",84587,79675,77029,72260,10442,8609,0

  1. 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.

  2. 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.

  3. travel-demand-modeling

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

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

  4. Peak Treatment Systems | Open Energy Information

    Open Energy Info (EERE)

    Treatment Systems Jump to: navigation, search Name: Peak Treatment Systems Place: Golden, CO Website: www.peaktreatmentsystems.com References: Peak Treatment Systems1 Information...

  5. Peak Underground Working Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    Previous Articles Previous Articles Estimates of Peak Underground Working Gas Storage Capacity in the United States, 2009 Update (Released, 8312009) Estimates of Peak Underground...

  6. summer_peak_1990_2004.xls

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

    c . Historical Noncoincident Summer Peak Load, Actual by North American Electric Reliability Council Region, 1990 through 2004 (Megawatts) Summer Noncoincident Peak Contiguous U.S....

  7. winter_peak_1990_2004.xls

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

    d . Historical Noncoincident Winter Peak Load, Actual by North American Electric Reliability Council Region, 1990 through 2004 (Megawatts) Winter Noncoincident Peak Load Contiguous...

  8. Refrigerated Warehouse Demand Response Strategy Guide

    SciTech Connect (OSTI)

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

    2015-11-01

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

  9. 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.

  10. 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.

  11. Automated Demand Response Opportunities in Wastewater Treatment Facilities

    SciTech Connect (OSTI)

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

    2008-11-19

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

  12. 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.

  13. 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.

  14. Metering Best Practices: A Guide to Achieving Utility Resource Efficiency |

    Office of Environmental Management (EM)

    Department of Energy Metering Best Practices: A Guide to Achieving Utility Resource Efficiency Metering Best Practices: A Guide to Achieving Utility Resource Efficiency Guide describes information about energy and resource metering at federal facilities, including metering requirements under the Energy Policy Act of 2005. PDF icon Download the Metering Best Practices Guide. More Documents & Publications Improving Steam System Performance: A Sourcebook for Industry, Second Edition A

  15. peak_load_2010.xls

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

    2. Noncoincident Peak Load, by North American Electric Reliability Corporation Assessment Area, 1990-2010 Actual, 2011-2015 Projected (Megawatts) Interconnection NERC Regional Assesment Area 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 FRCC 27,266 28,818 30,601 32,823 32,904 34,524 35,444 35,375 38,730 37,493 37,194 39,062 40,696 40,475 42,383 46,396 45,751 46,676 44,836 NPCC 44,116 46,594 43,658 46,706 47,581 47,705 45,094 49,269 49,566 52,855

  16. summer_peak_2003.xls

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

    3 and Projected 2004 through 2008 (Megawatts and 2003 Base Year) Summer Noncoincident Peak Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid Projected Year Base Year ECAR FRCC MAAC MAIN MAPP (U.S.) NPCC (U.S.) SERC SPP ERCOT WECC (U.S.) 1990 546,331 79,258 27,266 42,613 40,740 24,994 44,116 94,677 52,541 42,737 97,389 1991 551,418 81,224 28,818 45,937 41,598 25,498 46,594 95,968 51,885 41,870 92,026 1992 548,707 78,550 30,601 43,658 38,819 22,638 43,658 97,635 51,324 42,619

  17. summer_peak_2004.xls

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

    4 and Projected 2005 through 2009 (Megawatts and 2004 Base Year) Summer Noncoincident Peak Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid Projected Year Base Year ECAR FRCC MAAC MAIN MAPP/MRO (U.S.) NPCC (U.S.) SERC SPP ERCOT WECC (U.S.) 1990 546,331 79,258 27,266 42,613 40,740 24,994 44,116 94,677 52,541 42,737 97,389 1991 551,418 81,224 28,818 45,937 41,598 25,498 46,594 95,968 51,885 41,870 92,026 1992 548,707 78,550 30,601 43,658 38,819 22,638 43,658 97,635 51,324

  18. 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.

  19. Dramatic Demand Reduction In The Desert Southwest

    SciTech Connect (OSTI)

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

    2015-07-06

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

  20. ,"Table 3B.1. FRCC Monthly Peak Hour Demand, by North American...

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

    ...5101.5593,585221.3547,575685.9011,638454.8613 ,"Footnotes and Source" ,"Notes: ... ,"http:www.eia.govcneafelectricitypageeia411eia411.html" ,"* Projected data are updated ...

  1. Federal Building Metering Guidance (per U.S.C. 8253 (e), Metering of Energy Use)

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

    Federal Building Metering Guidance (per 42 U.S.C. § 8253(e), Metering of Energy Use) November 2014 Update United States Department of Energy Washington, DC 20585 Department of Energy |November 2014 U.S. Department of Energy 1 I. Background The U.S. Department of Energy (DOE) is required by statute and Presidential Memorandum 1 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

  2. Opportunities for Automated Demand Response in California Agricultural Irrigation

    SciTech Connect (OSTI)

    Olsen, Daniel; Aghajanzadeh, Arian; McKane, Aimee

    2015-08-01

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

  3. 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���¹��������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.

  4. Fuel cell membrane hydration and fluid metering

    DOE Patents [OSTI]

    Jones, Daniel O.; Walsh, Michael M.

    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).

  5. Fuel cell membrane hydration and fluid metering

    DOE Patents [OSTI]

    Jones, Daniel O.; Walsh, Michael M.

    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).

  6. High Performance Computing Data Center Metering Protocol

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

    High Performance Computing Data Center Metering Protocol Prepared for: U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Federal Energy Management Program Prepared by: Thomas Wenning Michael MacDonald Oak Ridge National Laboratory September 2010 ii Introduction Data centers in general are continually using more compact and energy intensive central processing units, but the total number and size of data centers continues to increase to meet progressive computing

  7. Periodic review enhances LPG metering performance

    SciTech Connect (OSTI)

    Van Orsdol, F.G.

    1988-01-25

    Because of the loss of experienced personnel throughout the industry, the author says one must start over teaching the basics of liquid measurement. Warren Petroleum Co., a division of Chevron U.S.A. Inc., has developed a checklist review method for its metering systems, complete with enough explanation to allow the reviewer to understand why each item is important. Simultaneously, it continues with more in-depth and theoretical training in training course. This article describes the review process.

  8. 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",1283786,1854282,2111101,2092893,1998214,1993991,1396097 "Commercial",217043,231143,238676,237244,228706,203914,128444 "Industrial",8104,8400,8890,8322,5694,5718,1999 "Transportation",62,77,68,68,7,7,0 "AMI

  9. New Technologies Bring New Opportunities for Meter Reader | Department of

    Office of Environmental Management (EM)

    Energy Technologies Bring New Opportunities for Meter Reader New Technologies Bring New Opportunities for Meter Reader September 22, 2011 - 2:03pm Addthis Brian Andrews is a former meter reader who now works with smart meter and intelligent grid projects. | Image courtesy of CenterPoint Energy. Brian Andrews is a former meter reader who now works with smart meter and intelligent grid projects. | Image courtesy of CenterPoint Energy. Liisa O'Neill Liisa O'Neill Former New Media Specialist,

  10. Demand Response Quick Assessment Tool

    Energy Science and Technology Software Center (OSTI)

    2008-12-01

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

  11. SnowPeak Energy | Open Energy Information

    Open Energy Info (EERE)

    SnowPeak Energy Place: Reno, Nevada Zip: 89502 Product: Nevada-based concentrator PV module maker. References: SnowPeak Energy1 This article is a stub. You can help OpenEI by...

  12. SCE&G - Net Metering | Department of Energy

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

    of net metering programs offered by the IOUs. South Carolina Electric & Gas (SCE&G) designed two net-metering options for its South Carolina customers. These options are...

  13. Metering Best Practices: A Guide to Achieving Utility Resource Efficiency |

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

    Department of Energy Metering Best Practices: A Guide to Achieving Utility Resource Efficiency Metering Best Practices: A Guide to Achieving Utility Resource Efficiency Guide describes information about energy and resource metering at federal facilities, including metering requirements under the Energy Policy Act of 2005. PDF icon mbpg2015.pdf More Documents & Publications Review of Orifice Plate Steam Traps Improving Steam System Performance: A Sourcebook for Industry, Second Edition

  14. Coriolis Meters for Hydrogen Dispensing Measurement | Department of Energy

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

    Coriolis Meters for Hydrogen Dispensing Measurement Coriolis Meters for Hydrogen Dispensing Measurement This presentation by John Daly of GE Measurement and Control Solutions was given at the DOE Hydrogen Compression, Storage, and Dispensing Workshop in March 2013. PDF icon csd_workshop_14_daly.pdf More Documents & Publications 2013 Hydrogen Compression, Storage, and Dispensing Cost Reduction Workshop Final Report Report on RFI DE-FOA-000753: High-Accuracy Hydrogen Meters Metering Best

  15. 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.

  16. 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.

  17. Digital revenue metering algorithm: development, analysis, implementation, testing, and evaluation. Final report

    SciTech Connect (OSTI)

    Schweitzer III, E.O.; To, H.W.; Ando, M.

    1980-11-01

    A digital revenue metering algorithm is described. The algorithm has been tested in a microcomputer system using two 8-bit MC6800 microprocessors and 12-bit analog-to-digital converters. The tests show that the system meets the accuracy requirements of ANSI C12-1975. The algorithm demands modest computing requirements and low data sampling rates. The algorithm uses Walsh-functions and will operate with as few as 4 samples per 60-Hz cycle. For proper response to odd harmonic frequencies, higher sampling rates must be used. Third harmonic power can be handled with an 8-sample per cycle Walsh function. However, even harmonics are effectively suppressed by the algorithm. The developed algorithm is intended for use in digital data acquisition systems for substations where interchange metering is required.

  18. Demand Response Technology Roadmap A

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

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

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

    SciTech Connect (OSTI)

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

    2008-11-19

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

  20. Progress toward Producing Demand-Response-Ready Appliances

    SciTech Connect (OSTI)

    Hammerstrom, Donald J.; Sastry, Chellury

    2009-12-01

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

  1. ARM: Three Meter Tower: video camera (Dataset) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ARM: Three Meter Tower: video camera Citation Details In-Document Search Title: ARM: Three Meter Tower: video camera Three Meter Tower: video camera Authors: Scott Smith ; Martin...

  2. ARM: Three Meter Tower: video camera (Dataset) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Three Meter Tower: video camera Citation Details In-Document Search Title: ARM: Three Meter Tower: video camera Three Meter Tower: video camera Authors: Scott Smith ; Martin...

  3. ARM: Forty Meter Tower: video camera (Dataset) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Forty Meter Tower: video camera Citation Details In-Document Search Title: ARM: Forty Meter Tower: video camera Forty Meter Tower: video camera Authors: Scott Smith ; Martin...

  4. DemandDirect | Open Energy Information

    Open Energy Info (EERE)

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

  5. Desert Peak EGS Project | Department of Energy

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

    EGS Project Desert Peak EGS Project Geothermal Technologies Program 2010 Peer Review Desert Peak EGS Project, for the Engineered Geothermal Systems Demonstration Projects and Innovative Exploration Technologies. Objective to stimulate permeability in tight well 27-15 and improve connection to rest of the field; improve overall productivity or injectivity. Successful stimulation yields more production and enables more power generation. PDF icon egs_drakos_desert_peak.pdf More Documents &

  6. Passive radio frequency peak power multiplier

    DOE Patents [OSTI]

    Farkas, Zoltan D.; Wilson, Perry B.

    1977-01-01

    Peak power multiplication of a radio frequency source by simultaneous charging of two high-Q resonant microwave cavities by applying the source output through a directional coupler to the cavities and then reversing the phase of the source power to the coupler, thereby permitting the power in the cavities to simultaneously discharge through the coupler to the load in combination with power from the source to apply a peak power to the load that is a multiplication of the source peak power.

  7. Monthly Generation System Peak (pbl/generation)

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

    Generation > Generation Hydro Power Wind Power Monthly GSP BPA White Book Dry Year Tools Firstgov Monthly Generation System Peak (GSP) This site is no longer maintained. Page last...

  8. Peak Underground Working Natural Gas Storage Capacity

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

    Capacity Peak Underground Working Natural Gas Storage Capacity Released: September 3, 2010 for data as of April 2010 Next Release: August 2011 References Methodology Definitions...

  9. Logic elements for reactor period meter

    DOE Patents [OSTI]

    McDowell, William P.; Bobis, James P.

    1976-01-01

    Logic elements are provided for a reactor period meter trip circuit. For one element, first and second inputs are applied to first and second chopper comparators, respectively. The output of each comparator is O if the input applied to it is greater than or equal to a trip level associated with each input and each output is a square wave of frequency f if the input applied to it is less than the associated trip level. The outputs of the comparators are algebraically summed and applied to a bandpass filter tuned to f. For another element, the output of each comparator is applied to a bandpass filter which is tuned to f to give a sine wave of frequency f. The outputs of the filters are multiplied by an analog multiplier whose output is 0 if either input is 0 and a sine wave of frequency 2f if both inputs are a frequency f.

  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. Detailed Modeling and Response of Demand Response Enabled Appliances

    SciTech Connect (OSTI)

    Vyakaranam, Bharat; Fuller, Jason C.

    2014-04-14

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

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

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

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

  13. 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.

  14. 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.

  15. NRELs Energy-Saving Technology for Air Conditioning Cuts Peak Power Loads Without Using Harmful Refrigerants (Fact Sheet), NREL (National Renewable Energy Laboratory)

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

    DEVAP Slashes Peak Power Loads Desiccant-enhanced evaporative (DEVAP) air-condi- tioning will provide superior comfort for commercial buildings in any climate at a small fraction of the elec- tricity costs of conventional air-conditioning equip- ment, releasing far less carbon dioxide and cutting costly peak electrical demand by an estimated 80%. Air conditioning currently consumes about 15% of the electricity generated in the United States and is a major contributor to peak electrical demand on

  16. CBEI: Virtual Refrigerant Charge Sensing and Load Metering - 2015 Peer

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

    Review | Department of Energy Virtual Refrigerant Charge Sensing and Load Metering - 2015 Peer Review CBEI: Virtual Refrigerant Charge Sensing and Load Metering - 2015 Peer Review Presenter: James Braun, Purdue University View the Presentation PDF icon CBEI: Virtual Refrigerant Charge Sensing and Load Metering - 2015 Peer Review More Documents & Publications CBEI: FDD for Advanced RTUs - 2015 Peer Review Control and Diagnostics for Rooftop Units - 2014 BTO Peer Review CBEI: Coordinating

  17. Secretary Chu Announces Two Million Smart Grid Meters Installed Nationwide

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

    | Department of Energy Million Smart Grid Meters Installed Nationwide Secretary Chu Announces Two Million Smart Grid Meters Installed Nationwide August 31, 2010 - 12:00am Addthis Columbus, OH - At an event today at Battelle headquarters in Columbus, Ohio, U.S. Energy Secretary Steven Chu announced that two million smart grid meters have been installed across the country, helping to reduce energy costs for families and businesses. As a result of funding from the Recovery Act, smart grid

  18. Energy Secretary Chu Announces Five Million Smart Meters Installed

    Energy Savers [EERE]

    Nationwide as Part of Grid Modernization Effort | Department of Energy Five Million Smart Meters Installed Nationwide as Part of Grid Modernization Effort Energy Secretary Chu Announces Five Million Smart Meters Installed Nationwide as Part of Grid Modernization Effort June 13, 2011 - 12:00am Addthis Washington, DC - At a White House Grid Modernization event today, U.S. Department of Energy Secretary Steven Chu announced that more than five million smart meters have been installed nationwide

  19. Two Million Smart Meters and Counting | Department of Energy

    Energy Savers [EERE]

    Million Smart Meters and Counting Two Million Smart Meters and Counting August 31, 2010 - 6:02pm Addthis Elizabeth Meckes Elizabeth Meckes Director of User Experience & Digital Technologies, Office of Public Affairs What does this mean for me? Smart meter technology will help families and businesses cut their energy costs by reducing response time for energy disruptions and enabling consumers to better monitor their consumption. The implementation of smart grid technologies could reduce

  20. High-Performance Computing Data Center Metering Protocol | Department of

    Office of Environmental Management (EM)

    Energy High-Performance Computing Data Center Metering Protocol High-Performance Computing Data Center Metering Protocol Guide details the methods for measurement in High-Performance Computing (HPC) data center facilities and document system strategies that have been used in Department of Energy data centers to increase data center energy efficiency. PDF icon hpc_metering_protocol.pdf More Documents & Publications Liquid Cooling v. Air Cooling Evaluation in the Maui High-Performance

  1. 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.

  2. 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

  3. Cost benefit analysis for the implementation of smart metering...

    Open Energy Info (EERE)

    with pilot project (Smart Grid Project) Jump to: navigation, search Project Name Cost benefit analysis for the implementation of smart metering with pilot project Country...

  4. Nevada Renewable Energy Application For Net Metering Customers...

    Open Energy Info (EERE)

    Renewable Energy Application For Net Metering Customers Jump to: navigation, search OpenEI Reference LibraryAdd to library Form: Nevada Renewable Energy Application For Net...

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

    Open Energy Info (EERE)

    Center for Geothermal Energy has been working on improvements in shallow (two-meter) temperature surveys in two areas: overcoming limitations posed by difficult ground...

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

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

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

  7. Vermont Construction and Operation of Net Metering Systems Rules...

    Open Energy Info (EERE)

    rule is applicable to all net metered installations in Vermont, and applies to every person, firm, company, corporation and municipality engaged in the construction or operation...

  8. Vermont Construction and Operation of Net Metering Systems Rule...

    Open Energy Info (EERE)

    rule is applicable to all net metered installations in Vermont, and applies to every person, firm, company, corporation and municipality engaged in the construction or operation...

  9. Smart Meters Help Balance Energy Consumption at Solar Decathlon |

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

    Department of Energy Smart Meters Help Balance Energy Consumption at Solar Decathlon Smart Meters Help Balance Energy Consumption at Solar Decathlon September 28, 2011 - 10:57am Addthis The Team Tidewater Virginia smart meter, as seen on opening day, indicates the team generated 5 kW hours of electricity in the first several hours of the competition. | Image courtesy of Lachlan Fletcher, Studio 18a The Team Tidewater Virginia smart meter, as seen on opening day, indicates the team generated

  10. 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.

  11. 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.

  12. CBEI: Virtual Refrigerant Charge Sensing and Load Metering -...

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

    Virtual Refrigerant Charge Sensing and Load Metering - 2015 Peer Review Presenter: James Braun, Purdue University View the Presentation PDF icon CBEI: Virtual Refrigerant...

  13. Extreme Adaptive Optics for the Thirty Meter Telescope (Conference...

    Office of Scientific and Technical Information (OSTI)

    Title: Extreme Adaptive Optics for the Thirty Meter Telescope Direct detection of ... instrument, the Planet Formation Imager (PFI) for TMT. It has four key science missions. ...

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

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

    Smart Meters Helping Oklahoma Consumers Save Hundreds During Summer Heat July 26, 2011 - ... on Good Morning America that he's saving over 320 per month compared to last ...

  15. Smart Meters and a Smarter Grid | Department of Energy

    Energy Savers [EERE]

    Smart Meters and a Smarter Grid Smart Meters and a Smarter Grid May 16, 2011 - 4:40pm Addthis Andrea Spikes Former Communicator at DOE's National Renewable Energy Laboratory Have you heard of smart meters? Do you understand them? If so, you've had a leg up on me until now. I've heard of smart meters here and there from the odd news article or website, but to me the grapevine has been more like an invisible beehive: all buzz and no honey. Where are they? Why don't I have one yet, and will I have

  16. Evaluating Behind-the-Meter Energy Storage Systems with NREL...

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

    Evaluating Behind-the- Meter Energy Storage Systems with NREL's System Advisor Model A new model helps companies assess the performance and economic effects of integrating battery ...

  17. Cyprus Smart metering demo (Smart Grid Project) | Open Energy...

    Open Energy Info (EERE)

    Installation of 3000 smart meters with the required infrastructure for full functionality evaluation of the best practice approach for full roll out. References "EU Smart Grid...

  18. Industrial Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

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

  19. 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.

  20. Oxygenate Supply/Demand Balances

    Gasoline and Diesel Fuel Update (EIA)

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

  1. Drivers of Future Energy Demand

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

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

  2. QER- Comment of Cloud Peak Energy Inc

    Broader source: Energy.gov [DOE]

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

  3. Peak Underground Working Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    not necessarily coincide. As such, the noncoincident peak for any region is at least as big as any monthly volume in the historical record. Data from Form EIA-191M, "Monthly...

  4. 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.

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

    SciTech Connect (OSTI)

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

    2015-08-30

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

  6. 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.

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

    SciTech Connect (OSTI)

    1997-12-01

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

  8. 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.

  9. The PEAK experience in South Carolina

    SciTech Connect (OSTI)

    1998-11-01

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

  10. EIA projections of coal supply and demand

    SciTech Connect (OSTI)

    Klein, D.E.

    1989-10-23

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

  11. 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.

  12. Commercial Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

  13. Smart Meters Offer 'Instant Gratification;' Help Houston Homeowners

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

    Save | Department of Energy Houston resident Ruth Diorio explains to KPRC Local 2 News how much she's saved with her recently installed smart meter, which allows her to see her savings in real time. Houston resident Ruth Diorio explains to KPRC Local 2 News how much she's saved with her recently installed smart meter, which allows her to see her savings in real time. Liisa O'Neill Liisa O'Neill Former New Media Specialist, Office of Public Affairs What does this mean for me? Smart meters

  14. Federal metering data analysis needs and existing tools

    SciTech Connect (OSTI)

    Henderson, Jordan W.; Fowler, Kimberly M.

    2015-07-01

    Agencies have been working to improve their metering data collection, management, and analysis efforts over the last decade (since EPAct 2005) and will continue to address these challenges as new requirements and data needs come into place. Unfortunately there is no “one-size-fits-all” solution. As agencies continue to expand their capabilities to use metered consumption data to reducing resource use and improve operations, the hope is that shared knowledge will empower others to follow suit. This paper discusses the Federal metering data analysis needs and some existing tools.

  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 Better Buildings Residential Network Peer Exchange Call Series: Generating...

  16. Marketing & Driving Demand: Social Media Tools & Strategies ...

    Office of Environmental Management (EM)

    Marketing & Driving Demand: Social Media Tools & Strategies - January 16, 2011 (Text Version) Marketing & Driving Demand: Social Media Tools & Strategies - January 16, 2011 (Text...

  17. Demand Response - Policy | Department of Energy

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

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

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

    Open Energy Info (EERE)

    Demand Management Institute (DMI) Jump to: navigation, search Name: Demand Management Institute (DMI) Address: 35 Walnut Street Place: Wellesley, Massachusetts Zip: 02481 Region:...

  19. Peak to Peak Charter Wins Colorado Science Bowl - News Releases | NREL

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

    Peak to Peak Charter Wins Colorado Science Bowl Lafayette School Heads to Washington D.C. to Challenge for National Title February 13, 2010 Students from Peak to Peak Charter School won the Colorado High School Science Bowl today. They will go on to the 20th National Science Bowl in Washington D.C. on April 29 - May 4, where they will compete for the national title against more than 450 students from 68 high schools. The U.S. Department of Energy began the Science Bowl tradition in 1991 as a way

  20. Demand Reductions from the Application of Advanced Metering Infrastructure, Pricing Programs, and Customer-Based Systems - Intial Results

    Office of Environmental Management (EM)

    U.S. Department of Energy | December 2012 Table of Contents Executive Summary ................................................................................................................. ii 1. Introduction ..................................................................................................................... 1 1.1 Purpose and Scope.................................................................................................... 1 1.2 Organization of this

  1. Stick-on Electricity Meter - Energy Innovation Portal

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

    The Stick-on Electricity Meter (SEM) generates current and voltage signals at a set sample rate to enable computation of real and apparent power and to capture harmonics created by ...

  2. 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.

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

    Open Energy Info (EERE)

    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 LibraryAdd to...

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

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

    meters are being installed in Ohio and across the country to create a more reliable, modern electrical grid and give consumers the ability to monitor and control their energy...

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

    Broader source: Energy.gov [DOE]

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

  6. ODUSD (I&E) Facilities Energy Program Advanced Metering Policy

    Broader source: Energy.gov [DOE]

    Presentation—given at the Spring 2013 Federal Utility Partnership Working Group (FUPWG) meeting—covers the U.S. Department of Defense's (DoD's) metering policy, including implementation challenges and utility partnerships.

  7. Meeting the "Applied" Accuracy Needs of Energy Metering

    Energy Savers [EERE]

    NOT worst case accuracy of meter * NOT the accuracy as a function of input value Working definition: Average accuracy a user can expect to achieve on the desired measurement that...

  8. Smart Meters Helping Oklahoma Consumers Save Hundreds During Summer Heat

    Broader source: Energy.gov [DOE]

    Smart meters -- just one of the advanced technologies being used to modernize the grid -- are helping Oklahoma businesses and home owners beat high electricity bills not only during these summer months, but year-round.

  9. Sensor-based demand controlled ventilation

    SciTech Connect (OSTI)

    De Almeida, A.T.; Fisk, W.J.

    1997-07-01

    In most buildings, occupancy and indoor pollutant emission rates vary with time. With sensor-based demand-controlled ventilation (SBDCV), the rate of ventilation (i.e., rate of outside air supply) also varies with time to compensate for the changes in pollutant generation. In other words, SBDCV involves the application of sensing, feedback and control to modulate ventilation. Compared to ventilation without feedback, SBDCV offers two potential advantages: (1) better control of indoor pollutant concentrations; and (2) lower energy use and peak energy demand. SBDCV has the potential to improve indoor air quality by increasing the rate of ventilation when indoor pollutant generation rates are high and occupants are present. SBDCV can also save energy by decreasing the rate of ventilation when indoor pollutant generation rates are low or occupants are absent. After providing background information on indoor air quality and ventilation, this report provides a relatively comprehensive discussion of SBDCV. Topics covered in the report include basic principles of SBDCV, sensor technologies, technologies for controlling air flow rates, case studies of SBDCV, application of SBDCV to laboratory buildings, and research needs. SBDCV appears to be an increasingly attractive technology option. Based on the review of literature and theoretical considerations, the application of SBDCV has the potential to be cost-effective in applications with the following characteristics: (a) a single or small number of dominant pollutants, so that ventilation sufficient to control the concentration of the dominant pollutants provides effective control of all other pollutants; (b) large buildings or rooms with unpredictable temporally variable occupancy or pollutant emission; and (c) climates with high heating or cooling loads or locations with expensive energy.

  10. Smart Meter Investments Yield Positive Results in Maine | Department of

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

    Energy Meter Investments Yield Positive Results in Maine Smart Meter Investments Yield Positive Results in Maine February 28, 2014 - 12:06pm Addthis Since 2009, the U.S. Department of Energy (DOE) and the electricity industry have jointly invested over $7.9 billion in 99 cost-shared Smart Grid Investment Grant (SGIG) projects to modernize the electric grid, strengthen cybersecurity, improve interoperability, and collect an unprecedented level of data on improvements in grid operations and

  11. The Need for Essential Consumer Protections: Smart Metering Proposals and

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

    the Move to Time-Based Pricing | Department of Energy Metering Proposals and the Move to Time-Based Pricing The Need for Essential Consumer Protections: Smart Metering Proposals and the Move to Time-Based Pricing There is a widespread consensus that the U.S. distribution and transmission systems for vital electricity service need to be modernized and upgraded to handle not only load growth, but the integration of renewable resources and the potential for a significant increase in

  12. Novel Application of Metering Pump on Diesel Aftertreatment | Department of

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

    Energy Novel Application of Metering Pump on Diesel Aftertreatment Novel Application of Metering Pump on Diesel Aftertreatment Poster presentation from the 2007 Diesel Engine-Efficiency & Emissions Research Conference (DEER 2007). 13-16 August, 2007, Detroit, Michigan. Sponsored by the U.S. Department of Energy's (DOE) Office of FreedomCAR and Vehicle Technologies (OFCVT). PDF icon deer07_liu.pdf More Documents & Publications SCR Systems for Heavy Duty Trucks: Progress Towards

  13. WINDExchange: Community-Scale 50-Meter Wind Maps

    Wind Powering America (EERE)

    Community-Scale 50-Meter Wind Maps The U.S. Department of Energy provides 50-meter (m) height, high-resolution wind resource maps for most of the states and territories of Puerto Rico and the Virgin Islands in the United States. Counties, towns, utilities, and schools use community-scale wind resource maps to locate and quantify the wind resource, identifying potentially windy sites determining a potential site's economic and technical viability. Map of the updated wind resource assessment

  14. WINDExchange: Offshore 90-Meter Wind Maps and Wind Resource Potential

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

    Offshore 90-Meter Wind Maps and Wind Resource Potential The U.S. Department of Energy provides 90-meter (m) height, high-resolution wind maps and estimates of the total offshore wind potential that would be possible from developing the available offshore areas. The offshore wind resource maps can be used as a guide to identify regions for commercial wind development. A map of the United States showing offshore wind resource. Washington offshore wind map. Oregon offshore wind map. California

  15. Insights from Smart Meters: Identifying Specific Actions, Behaviors, and

    Office of Environmental Management (EM)

    Characteristics That Drive Savings in Behavior-Based Programs | Department of Energy Identifying Specific Actions, Behaviors, and Characteristics That Drive Savings in Behavior-Based Programs Insights from Smart Meters: Identifying Specific Actions, Behaviors, and Characteristics That Drive Savings in Behavior-Based Programs In this report, we use smart meter data to analyze specific actions, behaviors, and characteristics that drive energy savings in a BB program. Specifically, we examine a

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

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

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

  17. A Meter-Scale Plasma Wakefield Accelerator (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Conference: A Meter-Scale Plasma Wakefield Accelerator Citation Details In-Document Search Title: A Meter-Scale Plasma Wakefield Accelerator No abstract prepared. Authors:...

  18. Metering Best Practices. A Guide to Achieving Utility Resource Efficiency, Release 3.0

    SciTech Connect (OSTI)

    Parker, Steven A.; Hunt, W. D.; McMordie Stoughton, Kate; Boyd, Brian K.; Fowler, Kimberly M.; Koehler, Theresa M.; Sandusky, William F.; Sullivan, Greg P.; Pugh, Ray

    2015-04-05

    DOE FEMP guide for metering best practices aligned with the DOE Metering Guidance revision required by the 12/2013 Presidential Memo.

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

    SciTech Connect (OSTI)

    Miller, N.L.; Hayhoe, K.; Jin, J.; Auffhammer, M.

    2008-04-01

    Climate projections from three atmosphere-ocean climate models with a range of low to mid-high temperature sensitivity forced by the Intergovernmental Panel for Climate Change SRES higher, middle, and lower emission scenarios indicate that, over the 21st century, extreme heat events for major cities in heavily air-conditioned California will increase rapidly. These increases in temperature extremes are projected to exceed the rate of increase in mean temperature, along with increased variance. Extreme heat is defined here as the 90 percent exceedance probability (T90) of the local warmest summer days under the current climate. The number of extreme heat days in Los Angeles, where T90 is currently 95 F (32 C), may increase from 12 days to as many as 96 days per year by 2100, implying current-day heat wave conditions may last for the entire summer, with earlier onset. Overall, projected increases in extreme heat under the higher A1fi emission scenario by 2070-2099 tend to be 20-30 percent higher than those projected under the lower B1 emission scenario, ranging from approximately double the historical number of days for inland California cities (e.g. Sacramento and Fresno), up to four times for previously temperate coastal cities (e.g. Los Angeles, San Diego). These findings, combined with observed relationships between high temperature and electricity demand for air-conditioned regions, suggest potential shortfalls in transmission and supply during T90 peak electricity demand periods. When the projected extreme heat and peak demand for electricity are mapped onto current availability, maintaining technology and population constant only for demand side calculations, we find the potential for electricity deficits as high as 17 percent. Similar increases in extreme heat days are suggested for other locations across the U.S. southwest, as well as for developing nations with rapidly increasing electricity demands. Electricity response to recent extreme heat events, such as the July 2006 heat wave in California, suggests that peak electricity demand will challenge current supply, as well as future planned supply capacities when population and income growth are taken into account.

  20. STEO December 2012 - coal demand

    Gasoline and Diesel Fuel Update (EIA)

    coal demand seen below 1 billion tons in 2012 for fourth year in a row Coal consumption by U.S. power plants to generate electricity is expected to fall below 1 billion tons in 2012 for the fourth year in a row. Domestic coal consumption is on track to total 829 million tons this year. That's the lowest level since 1992, according to the U.S. Energy Information Administration's new monthly energy forecast. Utilities and power plant operators are choosing to burn more lower-priced natural gas

  1. 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.

  2. Compensated count-rate circuit for radiation survey meter

    DOE Patents [OSTI]

    Todd, Richard A. (Powell, TN)

    1981-01-01

    A count-rate compensating circuit is provided which may be used in a portable Geiger-Mueller (G-M) survey meter to ideally compensate for counting loss errors in the G-M tube detector. In a G-M survey meter, wherein the pulse rate from the G-M tube is converted into a pulse rate current applied to a current meter calibrated to indicate dose rate, the compensated circuit generates and controls a reference voltage in response to the rate of pulses from the detector. This reference voltage is gated to the current-generating circuit at a rate identical to the rate of pulses coming from the detector so that the current flowing through the meter is varied in accordance with both the frequency and amplitude of the reference voltage pulses applied thereto so that the count rate is compensated ideally to indicate a true count rate within 1% up to a 50% duty cycle for the detector. A positive feedback circuit is used to control the reference voltage so that the meter output tracks true count rate indicative of the radiation dose rate.

  3. Compensated count-rate circuit for radiation survey meter

    DOE Patents [OSTI]

    Todd, R.A.

    1980-05-12

    A count-rate compensating circuit is provided which may be used in a portable Geiger-Mueller (G-M) survey meter to ideally compensate for couting loss errors in the G-M tube detector. In a G-M survey meter, wherein the pulse rate from the G-M tube is converted into a pulse rate current applied to a current meter calibrated to indicate dose rate, the compensation circuit generates and controls a reference voltage in response to the rate of pulses from the detector. This reference voltage is gated to the current-generating circuit at a rate identical to the rate of pulses coming from the detector so that the current flowing through the meter is varied in accordance with both the frequency and amplitude of the reference voltage pulses applied thereto so that the count rate is compensated ideally to indicate a true count rate within 1% up to a 50% duty cycle for the detector. A positive feedback circuit is used to control the reference voltage so that the meter output tracks true count rate indicative of the radiation dose rate.

  4. Demand Response Valuation Frameworks Paper

    SciTech Connect (OSTI)

    Heffner, Grayson

    2009-02-01

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

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

    SciTech Connect (OSTI)

    Zhou, Nan; Fridley, David G.; McNeil, Michael; Zheng, Nina; Ke, Jing; Levine, Mark

    2011-05-01

    As a result of soaring energy demand from a staggering pace of economic growth and the related growth of energy-intensive industry, China overtook the United States to become the world's largest contributor to CO{sub 2} emissions in 2007. At the same time, China has taken serious actions to reduce its energy and carbon intensity by setting both short-term energy intensity reduction goal for 2006 to 2010 as well as long-term carbon intensity reduction goal for 2020. This study focuses on a China Energy Outlook through 2050 that assesses the role of energy efficiency policies in transitioning China to a lower emission trajectory and meeting its intensity reduction goals. In the past years, LBNL has established and significantly enhanced the China End-Use Energy Model based on the diffusion of end-use technologies and other physical drivers of energy demand. This model presents an important new approach for helping understand China's complex and dynamic drivers of energy consumption and implications of energy efficiency policies through scenario analysis. A baseline ('Continued Improvement Scenario') and an alternative energy efficiency scenario ('Accelerated Improvement Scenario') have been developed to assess the impact of actions already taken by the Chinese government as well as planned and potential actions, and to evaluate the potential for China to control energy demand growth and mitigate emissions. It is a common belief that China's CO{sub 2} emissions will continue to grow throughout this century and will dominate global emissions. The findings from this research suggest that this will not likely be the case because of saturation effects in appliances, residential and commercial floor area, roadways, railways, fertilizer use, and urbanization will peak around 2030 with slowing population growth. The baseline and alternative scenarios also demonstrate that the 2020 goals can be met and underscore the significant role that policy-driven energy efficiency improvements will play in carbon mitigation along with a decarbonized power supply through greater renewable and non-fossil fuel generation.

  6. Managing the Night Off-Peak Power Demand in the Central Region UPS with Newly Commissioned NPP Capacities

    SciTech Connect (OSTI)

    Aminov, R. Z.; Pron’, D. M.

    2014-01-15

    The use of hydrogen technologies as a controlled-load consumer based on the newly commissioned base-load nuclear power plants to level out the daily load profile is justified for the Unified Power System (UPS) of the Central Region of Russia, as an example, for the period till 2020.

  7. Twin Peaks Motel Space Heating Low Temperature Geothermal Facility...

    Open Energy Info (EERE)

    Peaks Motel Space Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Twin Peaks Motel Space Heating Low Temperature Geothermal Facility Facility Twin...

  8. Emcore/SunPeak Solar Power Plant | Open Energy Information

    Open Energy Info (EERE)

    Solar Power Plant Facility EmcoreSunPeak Sector Solar Facility Type Concentrating Photovoltaic Developer SunPeak Solar Location Albuquerque, New Mexico Coordinates 35.0844909,...

  9. Development Wells At Silver Peak Area (DOE GTP) | Open Energy...

    Open Energy Info (EERE)

    Silver Peak Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Development Wells At Silver Peak Area (DOE GTP) Exploration Activity...

  10. Pressure Temperature Log At Silver Peak Area (DOE GTP) | Open...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Pressure Temperature Log At Silver Peak Area (DOE GTP) Exploration Activity Details Location Silver Peak...

  11. Magnetotellurics At Silver Peak Area (DOE GTP) | Open Energy...

    Open Energy Info (EERE)

    Silver Peak Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Magnetotellurics At Silver Peak Area (DOE GTP) Exploration Activity...

  12. Geothermometry At Silver Peak Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Silver Peak Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Silver Peak Area (DOE GTP) Exploration Activity...

  13. Cuttings Analysis At Silver Peak Area (DOE GTP) | Open Energy...

    Open Energy Info (EERE)

    Silver Peak Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Cuttings Analysis At Silver Peak Area (DOE GTP) Exploration Activity...

  14. Ground Magnetics At Silver Peak Area (DOE GTP) | Open Energy...

    Open Energy Info (EERE)

    Silver Peak Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Ground Magnetics At Silver Peak Area (DOE GTP) Exploration Activity...

  15. Core Analysis At Desert Peak Area (Laney, 2005) | Open Energy...

    Open Energy Info (EERE)

    Desert Peak Area (Laney, 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Core Analysis At Desert Peak Area (Laney, 2005) Exploration...

  16. Gas Flux Sampling At Desert Peak Area (Lechler And Coolbaugh...

    Open Energy Info (EERE)

    Desert Peak Area (Lechler And Coolbaugh, 2007) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Desert Peak Area (Lechler And...

  17. Cuttings Analysis At Desert Peak Area (Laney, 2005) | Open Energy...

    Open Energy Info (EERE)

    Desert Peak Area (Laney, 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Cuttings Analysis At Desert Peak Area (Laney, 2005) Exploration...

  18. ,"Winter Noncoincident Peak Load",,"Contiguous U.S. ","Eastern...

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

    f. Historical Noncoincident Winter Peak Load, Actual by North American Electric Reliability Corporation Region, 2005 through 2010 " ,"(Megawatts)" ,"Winter Noncoincident Peak...

  19. 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.

  20. 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.

  1. Recessed impingement insert metering plate for gas turbine nozzles

    DOE Patents [OSTI]

    Itzel, Gary Michael (218 Quail Ridge Dr., Greenville, SC 29680); Burdgick, Steven Sebastian (7006 Kevin La., Schenectady, NY 12303)

    2002-01-01

    An impingement insert sleeve is provided that is adapted to be disposed in a coolant cavity defined through a stator vane. The insert has a generally open inlet end and first and second diametrically opposed, perforated side walls. A metering plate having at least one opening defined therethrough for coolant flow is mounted to the side walls to generally transverse a longitudinal axis of the insert, and is disposed downstream from said inlet end. The metering plate improves flow distribution while reducing ballooning stresses within the insert and allowing for a more flexible insert attachment.

  2. The Need for Essential Consumer Protections: Smart metering proposals and

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

    the move to time-based pricing. August 2010 | Department of Energy metering proposals and the move to time-based pricing. August 2010 The Need for Essential Consumer Protections: Smart metering proposals and the move to time-based pricing. August 2010 There is widespread consensus that the U.S. distribution and transmission systems for vital electricity service need to be modernized and upgraded. This modernization has been recently promoted under the rubric of the Smart Grid. The Smart Grid

  3. WINDExchange: Residential-Scale 30-Meter Wind Maps

    Wind Powering America (EERE)

    Residential-Scale 30-Meter Wind Maps The U.S. Department of Energy provides 30-meter (m) height, high-resolution wind resource maps for the United States. Businesses, farms, and homeowners use residential-scale wind resource maps to identify wind sites that may be appropriate for small-scale wind projects. A wind resource map of the United States. Go to the California wind resource map. Go to the Washington wind resource map. Go to the Oregon wind resource map. Go to the Idaho wind resource map.

  4. 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.

  5. CBEI - Virtual Refrigerant Charge Sensing and Load Metering

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

    Virtual Refrigerant Charge Sensing and Load Metering 2015 Building Technologies Office Peer Review Jim Braun, jbraun@purdue.edu CBEI/Purdue University Project Summary Timeline: Start date: 5/1/2014 Planned end date: 4/30/2016 Key Milestones 1. Accuracy of virtual charge sensor, 4/30/15 2. Accuracy of virtual BTU meter, 4/30/15 Budget: Total DOE $ to date: $400,000 Total future DOE $: $140,000 Target Market/Audience: Commercial buildings with either rooftop units (RTUs) or built-up air-handling

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

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

    Appliances & Electronics » How to Read Your Electric Meter How to Read Your Electric Meter The difference between one month's reading and the next is the amount of energy units that have been used for that billing period. | Photo courtesy of Warren Gretz, NREL. The difference between one month's reading and the next is the amount of energy units that have been used for that billing period. | Photo courtesy of Warren Gretz, NREL. The basic unit of measure of electric power is the Watt. One

  7. Energy demand and population changes

    SciTech Connect (OSTI)

    Allen, E.L.; Edmonds, J.A.

    1980-12-01

    Since World War II, US energy demand has grown more rapidly than population, so that per capita consumption of energy was about 60% higher in 1978 than in 1947. Population growth and the expansion of per capita real incomes have led to a greater use of energy. The aging of the US population is expected to increase per capita energy consumption, despite the increase in the proportion of persons over 65, who consume less energy than employed persons. The sharp decline in the population under 18 has led to an expansion in the relative proportion of population in the prime-labor-force age groups. Employed persons are heavy users of energy. The growth of the work force and GNP is largely attributable to the growing participation of females. Another important consequence of female employment is the growth in ownership of personal automobiles. A third factor pushing up labor-force growth is the steady influx of illegal aliens.

  8. Northwest Open Automated Demand Response Technology Demonstration Project

    SciTech Connect (OSTI)

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

    2010-03-17

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

  9. Coordination of Energy Efficiency and Demand Response

    SciTech Connect (OSTI)

    none,

    2010-01-01

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

  10. 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.

  11. Utility-Scale Smart Meter Deployments, Plans & Proposals | Department of

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

    Energy Utility-Scale Smart Meter Deployments, Plans & Proposals Utility-Scale Smart Meter Deployments, Plans & Proposals The Edison Foundation's chart of plans and proposals for utility-scale smart meter deployments. PDF icon Utility-Scale Smart Meter Deployments, Plans & Proposals More Documents & Publications Government Program Briefing: Smart Metering Comments of the New America Foundation's Open Technology Initiative 2014 Smart Grid System Report (August 2014

  12. Microsoft Word - eMeter 10-11-01 Response to DOE RFI.doc

    Office of Environmental Management (EM)

    Addressing Policy and Logistical Challenges to smart grid Implementation: Response to Department of Energy RFI November 1, 2010 eMeter Strategic Consulting Background eMeter is a smart grid software company that provides smart network application platform (SNAP) software to integrate smart meters and smart grid communications networks and devices with utility IT systems. eMeter also provides smart grid application software such as meter data management (MDM) and consumer engagement software.

  13. 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.

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

    SciTech Connect (OSTI)

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

    2013-07-01

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

  15. Dead-time compensation for a logarithmic display rate meter

    DOE Patents [OSTI]

    Larson, J.A.; Krueger, F.P.

    1987-10-05

    An improved circuit is provided for application to a radiation survey meter that uses a detector that is subject to dead time. The circuit compensates for dead time over a wide range of count rates by producing a dead-time pulse for each detected event, a live-time pulse that spans the interval between dead-time pulses, and circuits that average the value of these pulses over time. The logarithm of each of these values is obtained and the logarithms are subtracted to provide a signal that is proportional to a count rate that is corrected for the effects of dead time. The circuit produces a meter indication and is also capable of producing an audible indication of detected events. 5 figs.

  16. Dead-time compensation for a logarithmic display rate meter

    DOE Patents [OSTI]

    Larson, John A.; Krueger, Frederick P.

    1988-09-20

    An improved circuit is provided for application to a radiation survey meter that uses a detector that is subject to dead time. The circuit compensates for dead time over a wide range of count rates by producing a dead-time pulse for each detected event, a live-time pulse that spans the interval between dead-time pulses, and circuits that average the value of these pulses over time. The logarithm of each of these values is obtained and the logarithms are subtracted to provide a signal that is proportional to a count rate that is corrected for the effects of dead time. The circuit produces a meter indication and is also capable of producing an audible indication of detected events.

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

    SciTech Connect (OSTI)

    Kirby, Brendan J

    2006-07-01

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

  18. Non-Invasive Energy Meter - Energy Innovation Portal

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

    Solar Thermal Solar Thermal Energy Storage Energy Storage Energy Analysis Energy Analysis Building Energy Efficiency Building Energy Efficiency Find More Like This Return to Search Non-Invasive Energy Meter Sandia National Laboratories Contact SNL About This Technology Publications: PDF Document Publication Market Sheet (805 KB) Technology Marketing SummarySandia has developed an energy monitoring device that measures energy from liquid flow systems (e.g., solar systems) using a simple technique

  19. Metered Evaporator for Tokamak Wall Conditioning --- Inventor(s): Charles

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

    H. Skinner, Dennis Mansfield, Henry Kugel, Hans Schneider and Lane Roquemore | Princeton Plasma Physics Lab Metered Evaporator for Tokamak Wall Conditioning --- Inventor(s): Charles H. Skinner, Dennis Mansfield, Henry Kugel, Hans Schneider and Lane Roquemore A novel lithium evaporator for the controlled introduction of lithium into tokamaks for wall conditioning is described. The concept uses a Li granule injector with a heated in-vessel yttrium crucible to evaporate a controlled amount of

  20. Smart Meter Investments Support Rural Economy in Arkansas

    Energy Savers [EERE]

    Smart Meter Investments Support Rural Economy in Arkansas Woodruff Electric Cooperative (Woodruff) serves customers in seven eastern Arkansas counties. The proportion of residents living in poverty in those counties is more than double the national average. As a member-owned rural electric cooperative, Woodruff is connected to its customers and engaged in economic development efforts to bring more jobs and higher incomes to local communities. In order to bring the capital investment and its

  1. Hydrostatic bearings for a turbine fluid flow metering device

    DOE Patents [OSTI]

    Fincke, J.R.

    1980-05-02

    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 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.

  2. Demand Response and Energy Storage Integration Study

    Broader source: Energy.gov [DOE]

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

  3. Demand Response in the ERCOT Markets

    SciTech Connect (OSTI)

    Patterson, Mark

    2011-10-25

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

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

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

    Marketing & Driving Demand Collaborative - Social Media Tools & Strategies Presentation slides from the Better Buildings webinar on January 6, 2011. PDF icon Marketing & Driving ...

  5. Energy Efficiency, Demand Response, and Volttron

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

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

  6. Fabricate-on-Demand Vacuum Insulating Glazings

    Broader source: Energy.gov [DOE]

    PPG is working to design a fabricate-on-demand process to overcome the cost and supply chain issues preventing widespread adoption of vacuum insulating glazings (VIGs).

  7. Geographically Based Hydrogen Consumer Demand and Infrastructure...

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

    Geographically Based Hydrogen Consumer Demand and Infrastructure Analysis Final Report M. Melendez and A. Milbrandt Technical Report NRELTP-540-40373 October 2006 NREL is operated...

  8. BPA, Energy Northwest launch demand response pilot

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

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

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

    Open Energy Info (EERE)

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

  10. Reducing Logistics Footprints and Replenishment Demands: Nano...

    Office of Scientific and Technical Information (OSTI)

    Water Treatment Citation Details In-Document Search Title: Reducing Logistics Footprints and Replenishment Demands: Nano-engineered Silica Aerogels a Proven Method for Water ...

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

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

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

  12. Distributed Automated Demand Response - Energy Innovation Portal

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

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

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

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

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

  14. Generating Demand for Multifamily Building Upgrades

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Peer Exchange Call Series: Generating Demand for Multifamily Building Upgrades, call slides and discussion summary, May 14, 2015.

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

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

    Energy 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 courtesy of ©iStockphoto/epantha An electromechanical electric meter on the side of a house. | Photo courtesy of ©iStockphoto/epantha A digital electric meter on the side of a house. | Photo courtesy of ©iStockphoto/nbehmans A digital electric meter on the side of a house. | Photo courtesy of

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

    SciTech Connect (OSTI)

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

    2012-01-18

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

  17. Revenue-metering device for HVDC systems. Final report

    SciTech Connect (OSTI)

    Schweitzer, E.O. III; Ando, M.; Aliaga, A.; Baker, R.; Seamans, D.

    1984-05-01

    This final report describes a digital dc revenue metering device for HVDC systems developed by Washington State University researchers under a contract with the Electric Power Research Institute. The device was installed at the Sylmar Converter Station of the Los Angeles Department of Water and Power in November 1981, and has been operating satisfactorily for over 20 months. It uses voltage and current measurements from existing voltage dividers, current transductors, and a current shunt. The energy-computation algorithms are implemented using digital signal processing principles in a single eight-bit microprocessor (Motorola MC6809). The algorithms accommodate the different characteristics of the sensors, and tolerate the unavailability of some of the sensors, with some loss in accuracy. Comparisons of the dc Revenue Meter energy measurements with the ac revenue meter measurements plus the station losses reveal a 0.1 percent difference in one pole and a one percent difference in the other pole, for a net difference of about one-half percent.

  18. Real-time Pricing Demand Response in Operations

    SciTech Connect (OSTI)

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

    2012-07-26

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

  19. Modeling-Computer Simulations At Desert Peak Area (Wisian & Blackwell...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Desert Peak Area (Wisian & Blackwell, 2004) Exploration Activity...

  20. ,"Summer Noncoincident Peak Load",,"Contiguous U.S. ","Eastern...

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

    e. Historical Noncoincident Summer Peak Load, Actual by North American Electric Reliability Corporation Region, 2005 through 2009 " ,"(Megawatts)" ,,,,," " ,"Summer Noncoincident...

  1. Tips: Smart Meters and a Smarter Power Grid | Department of Energy

    Office of Environmental Management (EM)

    Tips: Smart Meters and a Smarter Power Grid Tips: Smart Meters and a Smarter Power Grid The Smart Grid will consist of controls, computers, automation, and new technologies and...

  2. Strategies for Demand Response in Commercial Buildings

    SciTech Connect (OSTI)

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

    2006-06-20

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

  3. Status of Net Metering: Assessing the Potential to Reach Program Caps

    SciTech Connect (OSTI)

    Heeter, J.; Gelman, R.; Bird, L.

    2014-09-01

    Several states are addressing the issue of net metering program caps, which limit the total amount of net metered generating capacity that can be installed in a state or utility service territory. In this analysis, we examine net metering caps to gain perspective on how long net metering will be available in various jurisdictions under current policies. We also surveyed state practices and experience to understand important policy design considerations.

  4. United States- Land Based and Offshore Annual Average Wind Speed at 100 Meters

    Broader source: Energy.gov [DOE]

    Full-size, high resolution version of the 100-meter land-based and offshore wind speed resource map.

  5. Status of Net Metering: Assessing the Potential to Reach Program Caps (Poster)

    SciTech Connect (OSTI)

    Heeter, J.; Bird, L.; Gelman, R.

    2014-10-01

    Several states are addressing the issue of net metering program caps, which limit the total amount of net metered generating capacity that can be installed in a state or utility service territory. In this analysis, we examine net metering caps to gain perspective on how long net metering will be available in various jurisdictions under current policies. We also surveyed state practices and experience to understand important policy design considerations.

  6. Solutia: Utilizing Sub-Metering to Drive Energy Project Approvals Through Data

    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 frst manufacturing plants in the late 1950s by its then parent company, Monsanto. A progressive technology, sub-metering is the installation of metering devices to measure actual energy consumption for individual pieces of equipment or other loads. As part of its aggressive corporate sustainability goals, Solutia

  7. CORRELATION BETWEEN PEAK ENERGY AND PEAK LUMINOSITY IN SHORT GAMMA-RAY BURSTS

    SciTech Connect (OSTI)

    Zhang, Z. B.; Chen, D. Y. [Department of Physics, College of Sciences, Guizhou University, Guiyang 550025 (China); Huang, Y. F., E-mail: sci.zbzhang@gzu.edu.cn, E-mail: hyf@nju.edu.cn [Department of Astronomy, Nanjing University, Nanjing 210093 (China)

    2012-08-10

    A correlation between the peak luminosity and the peak energy has been found by Yonetoku et al. as L{sub p} {proportional_to}E{sup 2.0}{sub p,i} for 11 pre-Swift long gamma-ray bursts (GRBs). In this study, for a greatly expanded sample of 148 long GRBs in the Swift era, we find that the correlation still exists, but most likely with a slightly different power-law index, i.e., L{sub p} {proportional_to} E{sup 1.7}{sub p,i}. In addition, we have collected 17 short GRBs with necessary data. We find that the correlation of L{sub p} {proportional_to} E{sup 1.7}{sub p,i} also exists for this sample of short events. It is argued that the radiation mechanism of both long and short GRBs should be similar, i.e., of quasi-thermal origin caused by the photosphere, with the dissipation occurring very near the central engine. Some key parameters of the process are constrained. Our results suggest that the radiation processes of both long and short bursts may be dominated by thermal emission, rather than by the single synchrotron radiation. This might put strong physical constraints on the theoretical models.

  8. Metering Plan: Monitoring Energy and Potable Water Use in PNNL EMS4 Buildings

    SciTech Connect (OSTI)

    Pope, Jason E.

    2012-07-25

    This Plan presents progress toward the metering goals shared by all national laboratories and discusses PNNL's contemporary approach to the installation of new meters. In addition, the Plan discusses the data analysis techniques with which PNNL is working to mature using endless data streams made available as a result of increased meter deployment.

  9. A DISTRIBUTED INTELLIGENT AUTOMATED DEMAND RESPONSE BUILDING MANAGEMENT SYSTEM

    SciTech Connect (OSTI)

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

    2013-12-30

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

  10. U.S. Coal Supply and Demand

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Coal Supply and Demand > U.S. Coal Supply and Demand U.S. Coal Supply and Demand 2010 Review (entire report also available in printer-friendly format ) Previous Editions 2009 Review 2008 Review 2007 Review 2006 Review 2005 Review 2004 Review 2003 Review 2002 Review 2001 Review 2000 Review 1999 Review Data for: 2010 Released: May 2011 Next Release Date: April 2012 Table 3. Electric Power Sector Net Generation, 2009-2010 (Million Kilowatthours) New England Coal 14,378 14,244 -0.9

  11. Electricity demand in a developing country. [Paraguay

    SciTech Connect (OSTI)

    Westley, G.D.

    1984-08-01

    This study analyzes the residential and commercial demand for electricity in ten regions in Paraguay for 1970-1977. Models that are both linear and nonlinear in the parameters are estimated. The nonlinear model takes advantage of prior information on the nature of the appliances being utilized and simultaneously deals with the demand discontinuities caused by appliance indivisibility. Three dynamic equations, including a novel cumulative adjustment model, all indicate rapid adjustment to desired appliance stock levels. Finally, the multiproduct surplus loss obtained from an estimated demand equation is used to measure the welfare cost of power outages. 15 references.

  12. Autonomous Demand Response for Primary Frequency Regulation

    SciTech Connect (OSTI)

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

    2012-02-28

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

  13. The magnetic flywheel flow meter: Theoretical and experimental contributions

    SciTech Connect (OSTI)

    Buchenau, D., E-mail: d.buchenau@hzdr.de; Galindo, V.; Eckert, S. [Helmholtz-Zentrum Dresden-Rossendorf, Institute of Fluid Dynamics, Bautzner Landstraße 400, 01328 Dresden (Germany)

    2014-06-02

    The development of contactless flow meters is an important issue for monitoring and controlling of processes in different application fields, like metallurgy, liquid metal casting, or cooling systems for nuclear reactors and transmutation machines. Shercliff described in his book “The Theory of Electromagnetic Flow Measurement, Cambridge University Press, 1962” a simple and robust device for contact-less measurements of liquid metal flow rates which is known as magnetic flywheel. The sensor consists of several permanent magnets attached on a rotatable soft iron plate. This arrangement will be placed closely to the liquid metal flow to be measured, so that the field of the permanent magnets penetrates into the fluid volume. The flywheel will be accelerated by a Lorentz force arising from the interaction between the magnetic field and the moving liquid. Steady rotation rates of the flywheel can be taken as a measure for the mean flow rate inside the fluid channel. The present paper provides a detailed theoretical description of the sensor in order to gain a better insight into the functional principle of the magnetic flywheel. Theoretical predictions are confirmed by corresponding laboratory experiments. For that purpose, a laboratory model of such a flow meter was built and tested on a GaInSn-loop under various test conditions.

  14. Net Metering and Market Feedback Loops: Exploring the Impact of Retail Rate Design on Distributed PV Deployment

    SciTech Connect (OSTI)

    Darghouth, Naïm R.; Wiser, Ryan; Barbose, Galen; Mills, Andrew

    2015-01-13

    The substantial increase in deployment of customer-sited solar photovoltaics (PV) in the United States has been driven by a combination of steeply declining costs, financing innovations, and supportive policies. Among those supportive policies is net metering, which in most states effectively allows customers to receive compensation for distributed PV generation at the full retail electricity price. The current design of retail electricity rates and the presence of net metering have elicited concerns that the possible under-recovery of fixed utility costs from PV system owners may lead to a feedback loop of increasing retail prices that accelerate PV adoption and further rate increases. However, a separate and opposing feedback loop could offset this effect: increased PV deployment may lead to a shift in the timing of peak-period electricity prices that could reduce the bill savings received under net metering where time-varying retail electricity rates are used, thereby dampening further PV adoption. In this paper, we examine the impacts of these two competing feedback dynamics on U.S. distributed PV deployment through 2050 for both residential and commercial customers, across states. Our results indicate that, at the aggregate national level, the two feedback effects nearly offset one another and therefore produce a modest net effect, although their magnitude and direction vary by customer segment and by state. We also model aggregate PV deployment trends under various rate designs and net-metering rules, accounting for feedback dynamics. Our results demonstrate that future adoption of distributed PV is highly sensitive to retail rate structures. Whereas flat, time-invariant rates with net metering lead to higher aggregate national deployment levels than the current mix of rate structures (+5% in 2050), rate structures with higher monthly fixed customer charges or PV compensation at levels lower than the full retail rate can dramatically erode aggregate customer adoption of PV (from -14% to -61%, depending on the design). Moving towards time-varying rates, on the other hand, may accelerate near- and medium-term deployment (through 2030), but is found to slow adoption in the longer term (-22% in 2050).

  15. Demand Response and Energy Storage Integration Study

    Broader source: Energy.gov [DOE]

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

  16. Global Energy: Supply, Demand, Consequences, Opportunities

    ScienceCinema (OSTI)

    Majumdar, Arun

    2010-01-08

    July 29, 2008 Berkeley Lab lecture: Arun Majumdar, Director of the Environmental Energy Technologies Division, discusses current and future projections of economic growth, population, and global energy demand and supply, and explores the implications of these trends for the environment.

  17. EA-2023: Crossman Peak Communications Facility; Mohave County, Arizona |

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

    Department of Energy EA-2023: Crossman Peak Communications Facility; Mohave County, Arizona EA-2023: Crossman Peak Communications Facility; Mohave County, Arizona Summary Western Area Power Administration is preparing an EA that assesses the potential environmental impacts of a proposed new microwave communication facility to be located adjacent to a privately-owned one near Crossman Peak, east of Lake Havasu City in Mohave County, Arizona. The proposal would consist of a microwave

  18. Track B - Critical Guidance for Peak Performance Homes | Department of

    Energy Savers [EERE]

    Energy B - Critical Guidance for Peak Performance Homes Track B - Critical Guidance for Peak Performance Homes Presentations from Track B, Critical Guidance for Peak Performance Homes of the U.S. Department of Energy Building America program's 2012 Residential Energy Efficiency Stakeholder Meeting are provided below as Adobe Acrobat PDFs. These presentations for this track covered the following topics: Ventilation Strategies in High Performance Homes; Combustion Safety in Tight Houses;

  19. Climate policy implications for agricultural water demand

    SciTech Connect (OSTI)

    Chaturvedi, Vaibhav; Hejazi, Mohamad I.; Edmonds, James A.; Clarke, Leon E.; Kyle, G. Page; Davies, Evan; Wise, Marshall A.; Calvin, Katherine V.

    2013-03-28

    Energy, water and land are scarce resources, critical to humans. Developments in each affect the availability and cost of the others, and consequently human prosperity. Measures to limit greenhouse gas concentrations will inevitably exact dramatic changes on energy and land systems and in turn alter the character, magnitude and geographic distribution of human claims on water resources. We employ the Global Change Assessment Model (GCAM), an integrated assessment model to explore the interactions of energy, land and water systems in the context of alternative policies to limit climate change to three alternative levels: 2.5 Wm-2 (445 ppm CO2-e), 3.5 Wm-2 (535 ppm CO2-e) and 4.5 Wm-2 (645 ppm CO2-e). We explore the effects of two alternative land-use emissions mitigation policy options—one which taxes terrestrial carbon emissions equally with fossil fuel and industrial emissions, and an alternative which only taxes fossil fuel and industrial emissions but places no penalty on land-use change emissions. We find that increasing populations and economic growth could be anticipated to almost triple demand for water for agricultural systems across the century even in the absence of climate policy. In general policies to mitigate climate change increase agricultural demands for water still further, though the largest changes occur in the second half of the century, under both policy regimes. The two policies examined profoundly affected both the sources and magnitudes of the increase in irrigation water demands. The largest increases in agricultural irrigation water demand occurred in scenarios where only fossil fuel emissions were priced (but not land-use change emission) and were primarily driven by rapid expansion in bioenergy production. In these scenarios water demands were large relative to present-day total available water, calling into question whether it would be physically possible to produce the associated biomass energy. We explored the potential of improved water delivery and irrigation system efficiencies. These could potentially reduce demands substantially. However, overall demands remained high under our fossil-fuel-only tax policy. In contrast, when all carbon was priced, increases in agricultural water demands were smaller than under the fossil-fuel-only policy and were driven primarily by increased demands for water by non-biomass crops such as rice. Finally we estimate the geospatial pattern of water demands and find that regions such as China, India and other countries in south and east Asia might be expected to experience greatest increases in water demands. 

  20. Geographically Based Hydrogen Demand and Infrastructure Analysis |

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

    Department of Energy Analysis Geographically Based Hydrogen Demand and Infrastructure Analysis Presentation by NREL's Margo Melendez at the 2010 - 2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and Infrastructure Meeting on August 9 - 10, 2006 in Washington, D.C. PDF icon melendez_geo_h2_demand.pdf More Documents & Publications 2010 - 2025 Scenario Analysis Meeting Agenda for August 9 - 10, 2006 Agenda for the 2010-2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and

  1. Desert Peak East EGS Project; 2010 Geothermal Technology Program...

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

    East EGS Project; 2010 Geothermal Technology Program Peer Review Report Desert Peak East EGS Project; 2010 Geothermal Technology Program Peer Review Report DOE 2010 Geothermal...

  2. Desert Peak II Geothermal Facility | Open Energy Information

    Open Energy Info (EERE)

    Facility Desert Peak II Sector Geothermal energy Location Information Location Churchill, Nevada Coordinates 39.753854931241, -118.95378112793 Loading map......

  3. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...

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

    b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2007 and Projected 2008 through 2012 " ,"(Megawatts and 2007 ...

  4. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...

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

    b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2007 through 2011 " ,"(Megawatts and 2006 ...

  5. Multispectral Imaging At Silver Peak Area (DOE GTP) | Open Energy...

    Open Energy Info (EERE)

    DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Multispectral Imaging At Silver Peak Area (DOE GTP) Exploration Activity Details...

  6. ARM - Field Campaign - Colorado: The Storm Peak Lab Cloud Property...

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

    The Storm Peak Lab Cloud Property Validation Experiment (STORMVEX) Campaign Links STORMVEX Website ARM Data Discovery Browse Data Related Campaigns Colorado: CFHCMH Deployment to...

  7. Jiminy Peak Ski Resort Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Energy Developments Energy Purchaser Jiminy Peak Mountain Resort Location Hancock MA Coordinates 42.5554, -73.2898 Show Map Loading map... "minzoom":false,"mappingservi...

  8. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    2011" ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2009 and Projected 2010 through 2014 "...

  9. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2007 and Projected 2008 through 2012 " ,"(Megawatts and 2007...

  10. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    2010" ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2008 and Projected 2009 through 2013 "...

  11. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    4 and Projected 2005 through 2009 " ,"(Megawatts and 2004 Base Year)",,,," " ,"Summer Noncoincident Peak Load",,"Contiguous U.S. ","Eastern Power Grid",,,"Texas Power...

  12. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    3 and Projected 2004 through 2008 " ,"(Megawatts and 2003 Base Year)",,,," " ,"Summer Noncoincident Peak Load",,"Contiguous U.S. ","Eastern Power Grid",,,"Texas Power...

  13. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2007 through 2011 " ,"(Megawatts and 2006...

  14. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...

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

    2007" ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Council Region, " ,"2005 and Projected 2006 through 2010 "...

  15. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...

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

    2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2009 and Projected 2010 through 2014 " ,"(Megawatts and 2009...

  16. Ethanol Demand in United States Gasoline Production

    SciTech Connect (OSTI)

    Hadder, G.R.

    1998-11-24

    The Oak Ridge National Laboratory (OWL) Refinery Yield Model (RYM) has been used to estimate the demand for ethanol in U.S. gasoline production in year 2010. Study cases examine ethanol demand with variations in world oil price, cost of competing oxygenate, ethanol value, and gasoline specifications. For combined-regions outside California summer ethanol demand is dominated by conventional gasoline (CG) because the premised share of reformulated gasoline (RFG) production is relatively low and because CG offers greater flexibility for blending high vapor pressure components like ethanol. Vapor pressure advantages disappear for winter CG, but total ethanol used in winter RFG remains low because of the low RFG production share. In California, relatively less ethanol is used in CG because the RFG production share is very high. During the winter in California, there is a significant increase in use of ethanol in RFG, as ethanol displaces lower-vapor-pressure ethers. Estimated U.S. ethanol demand is a function of the refiner value of ethanol. For example, ethanol demand for reference conditions in year 2010 is 2 billion gallons per year (BGY) at a refiner value of $1.00 per gallon (1996 dollars), and 9 BGY at a refiner value of $0.60 per gallon. Ethanol demand could be increased with higher oil prices, or by changes in gasoline specifications for oxygen content, sulfur content, emissions of volatile organic compounds (VOCS), and octane numbers.

  17. Demand Response Opportunities in Industrial Refrigerated Warehouses in California

    SciTech Connect (OSTI)

    Goli, Sasank; McKane, Aimee; Olsen, Daniel

    2011-06-14

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

  18. Genesis of a three-phase subsea metering system. [Oil and gas metering systems for subsea operations

    SciTech Connect (OSTI)

    Dowty, E.L.; Hatton, G.J.; Durrett, M.G. ); Dean, T.L.; Jiskoot, R.J.J.

    1993-08-01

    Periodic well flow testing is necessary to monitor well and reservoir performance over time to optimize decisions on well production rates and new well requirements through improved reservoir models, to determine the timing of well workovers, and to identify when wells become uneconomical to produce. A dedicated test separator' conventionally is used to meter individual wells. Fluids from a well are separated into the three component phases (oil, gas, and water) in a large vessel, and the flow rate of each phase is measured on the respective outlet lines from the vessel. The same method currently is used for subsea satellite developments by providing a dedicated test pipeline' from the subsea field to carry a selected well's production to a test separator for metering on the host platform. The capital cost of these systems rises rapidly with distance. Greater distances between the wellhead and flow test system increase the cost of the test pipeline and require larger and hence more expensive slug catchers and risers. Clearly, a subsea-based well-test system could result in large capital cost savings by eliminating the need for conventional test systems. This paper tracks the development of one subsea well test system from conception to field testing on the Tartan. A platform in the North Sea. This work defines the design requirements of the system, reviews system development and fabrication, describes modifications made as a result of initial field tests, and reports the results of topside tests completed through Dec. 1990.

  19. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    SciTech Connect (OSTI)

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

    2010-08-02

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

  20. Gas flow meter and method for measuring gas flow rate

    DOE Patents [OSTI]

    Robertson, Eric P.

    2006-08-01

    A gas flow rate meter includes an upstream line and two chambers having substantially equal, fixed volumes. An adjustable valve may direct the gas flow through the upstream line to either of the two chambers. A pressure monitoring device may be configured to prompt valve adjustments, directing the gas flow to an alternate chamber each time a pre-set pressure in the upstream line is reached. A method of measuring the gas flow rate measures the time required for the pressure in the upstream line to reach the pre-set pressure. The volume of the chamber and upstream line are known and fixed, thus the time required for the increase in pressure may be used to determine the flow rate of the gas. Another method of measuring the gas flow rate uses two pressure measurements of a fixed volume, taken at different times, to determine the flow rate of the gas.

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

    SciTech Connect (OSTI)

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

    2011-11-11

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

  2. International Oil Supplies and Demands. Volume 2

    SciTech Connect (OSTI)

    Not Available

    1992-04-01

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

  3. Wireless Demand Response Controls for HVAC Systems

    SciTech Connect (OSTI)

    Federspiel, Clifford

    2009-06-30

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

  4. Utility Sector Impacts of Reduced Electricity Demand

    SciTech Connect (OSTI)

    Coughlin, Katie

    2014-12-01

    This report presents a new approach to estimating the marginal utility sector impacts associated with electricity demand reductions. The method uses publicly available data and provides results in the form of time series of impact factors. The input data are taken from the Energy Information Agency's Annual Energy Outlook (AEO) projections of how the electric system might evolve in the reference case, and in a number of side cases that incorporate different effciency and other policy assumptions. The data published with the AEO are used to define quantitative relationships between demand-side electricity reductions by end use and supply-side changes to capacity by plant type, generation by fuel type and emissions of CO2, Hg, NOx and SO2. The impact factors define the change in each of these quantities per unit reduction in site electricity demand. We find that the relative variation in these impacts by end use is small, but the time variation can be significant.

  5. DEMAND CONTROLLED VENTILATION AND CLASSROOM VENTILATION

    SciTech Connect (OSTI)

    Fisk, William J.; Mendell, Mark J.; Davies, Molly; Eliseeva, Ekaterina; Faulkner, David; Hong, Tienzen; Sullivan, Douglas P.

    2014-01-06

    This document summarizes a research effort on demand controlled ventilation and classroom ventilation. The research on demand controlled ventilation included field studies and building energy modeling. Major findings included: ? The single-location carbon dioxide sensors widely used for demand controlled ventilation frequently have large errors and will fail to effectively control ventilation rates (VRs).? Multi-location carbon dioxide measurement systems with more expensive sensors connected to multi-location sampling systems may measure carbon dioxide more accurately.? Currently-available optical people counting systems work well much of the time but have large counting errors in some situations. ? In meeting rooms, measurements of carbon dioxide at return-air grilles appear to be a better choice than wall-mounted sensors.? In California, demand controlled ventilation in general office spaces is projected to save significant energy and be cost effective only if typical VRs without demand controlled ventilation are very high relative to VRs in codes. Based on the research, several recommendations were developed for demand controlled ventilation specifications in the California Title 24 Building Energy Efficiency Standards.The research on classroom ventilation collected data over two years on California elementary school classrooms to investigate associations between VRs and student illness absence (IA). Major findings included: ? Median classroom VRs in all studied climate zones were below the California guideline, and 40percent lower in portable than permanent buildings.? Overall, one additional L/s per person of VR was associated with 1.6percent less IA. ? Increasing average VRs in California K-12 classrooms from the current average to the required level is estimated to decrease IA by 3.4percent, increasing State attendance-based funding to school districts by $33M, with $6.2 M in increased energy costs. Further VR increases would provide additional benefits.? Confirming these findings in intervention studies is recommended. ? Energy costs of heating/cooling unoccupied classrooms statewide are modest, but a large portion occurs in relatively few classrooms.

  6. 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.

  7. Diagnostics on Demand | GE Global Research

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

    The "Diagnostics on Demand" Infectious Disease Test Kit Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) The "Diagnostics on Demand" Infectious Disease Test Kit GE's lead researcher, David Moore, shows how this paper-based instrument, the size of a deck of playing cards, enables field-based testing

  8. Chinese Oil Demand: Steep Incline Ahead

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

    Chinese Oil Demand: Steep Incline Ahead Malcolm Shealy Alacritas, Inc. April 7, 2008 Oil Demand: China, India, Japan, South Korea 0 2 4 6 8 1995 2000 2005 2010 Million Barrels/Day China South Korea Japan India IEA China Oil Forecast 0 2 4 6 8 10 12 14 16 18 2000 2005 2010 2015 2020 2025 2030 Million Barrels/Day WEO 2007 16.3 mbd 12.7 mbd IEA China Oil Forecasts 0 2 4 6 8 10 12 14 16 18 2000 2005 2010 2015 2020 2025 2030 Million Barrels/Day WEO 2007 WEO 2006 WEO 2004 WEO 2002 Vehicle Sales in

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

    SciTech Connect (OSTI)

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

    2010-11-17

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

  10. Deployable telescope having a thin-film mirror and metering structure

    DOE Patents [OSTI]

    Krumel, Leslie J. (Cedar Crest, NM); Martin, Jeffrey W. (Albuquerque, NM)

    2010-08-24

    A deployable thin-film mirror telescope comprises a base structure and a metering structure. The base structure houses a thin-film mirror, which can be rolled for stowage and unrolled for deployment. The metering structure is coupled to the base structure and can be folded for stowage and unfolded for deployment. In the deployed state, the unrolled thin-film mirror forms a primary minor for the telescope and the unfolded metering structure positions a secondary minor for the telescope.

  11. Fuel Quality and Metering: Current Status and Future Needs | Department of

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

    Energy and Metering: Current Status and Future Needs Fuel Quality and Metering: Current Status and Future Needs These slides were presented at the Onboard Storage Tank Workshop on April 29, 2010. PDF icon fuelquality_metering_ostw.pdf More Documents & Publications Workshop Notes from ""Compressed Natural Gas and Hydrogen Fuels: Lessons Learned for the Safe Deployment of Vehicles"" Workshop, December 10-11, 2009 BILIWG Meeting: DOE Hydrogen Quality Working Group Update

  12. The Intersection of Net Metering and Retail Choice: An Overview of Policy,

    Energy Savers [EERE]

    Practice and Issues | Department of Energy Intersection of Net Metering and Retail Choice: An Overview of Policy, Practice and Issues The Intersection of Net Metering and Retail Choice: An Overview of Policy, Practice and Issues In this report, the authors studied different facets of crediting mechanisms, and defined five different theoretical models describing different ways competitive suppliers and utilities provide net metering options for their customers. They then provided case studies

  13. NIST Releases Test Framework for Upgrading of Smart Meters | Department of

    Office of Environmental Management (EM)

    Energy Releases Test Framework for Upgrading of Smart Meters NIST Releases Test Framework for Upgrading of Smart Meters July 12, 2012 - 10:46am Addthis The National Institute of Standards and Technology (NIST) has released a draft set of guidelines that will help utilities test their procedures for upgrading their smart meters securely from a remote location and determine whether their procedures conform with the National Electrical Manufacturers Association (NEMA) Standard for Smart Grid

  14. Washington: Sustainability Training for Realtors in High Demand...

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

    Sustainability Training for Realtors in High Demand Washington: Sustainability Training for Realtors in High Demand March 6, 2014 - 5:50pm Addthis Demand has been high for a free ...

  15. Experience in the Application of Single-Beam Ultrasonic Flow Meters for Turbines

    SciTech Connect (OSTI)

    Krasilnikov, A. M.; Dmitriev, S. G.; Karyakin, V. A.

    2002-03-15

    Experience in the use of ultrasonic flow meters at the Bratskaya and Vilyuiskaya HPP is described. The article is of interest to field engineers.

  16. The Impact of Rate Design and Net Metering on the Bill Savings...

    Open Energy Info (EERE)

    Impact of Rate Design and Net Metering on the Bill Savings from Distributed Photovoltaics (PV) for Residential Customers in California Jump to: navigation, search Tool Summary...

  17. Nissan North America: How Sub-Metering Changed the Way a Plant Does

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

    Business | Department of Energy North America: How Sub-Metering Changed the Way a Plant Does Business Nissan North America: How Sub-Metering Changed the Way a Plant Does Business This case study describes how Nissan North America uses sub-meters to measure a range of variables at its U.S. plants, including electricity and compressed air, and identify opportunities to reduce energy consumption. PDF icon Nissan North America: How Sub-Metering Changed the Way a Plant Does Business (June 2011)

  18. Sandia Energy - NASA's Solar Tower Test of the 1-Meter Aeroshell

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

    NASA's Solar Tower Test of the 1-Meter Aeroshell Home Videos Renewable Energy Energy Facilities Partnership News Concentrating Solar Power Solar National Solar Thermal Test...

  19. Report on RFI DE-FOA-000753: High-Accuracy Hydrogen Meters | Department of

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

    Energy on RFI DE-FOA-000753: High-Accuracy Hydrogen Meters Report on RFI DE-FOA-000753: High-Accuracy Hydrogen Meters This Fuel Cell Technologies Office document presents a summary of information gathered on the current status and needs for high-accuracy hydrogen meters, from a 2012 Request for Information (RFI) and other sources. PDF icon Report on RFI DE-FOA-000753: High-Accuracy Hydrogen Meters More Documents & Publications Light Duty Fuel Cell Electric Vehicle Hydrogen Fueling

  20. How Would You Use a Smart Meter to Manage Your Energy Use? | Department of

    Energy Savers [EERE]

    Energy How Would You Use a Smart Meter to Manage Your Energy Use? How Would You Use a Smart Meter to Manage Your Energy Use? May 19, 2011 - 7:30am Addthis On Monday, Andrea told you about smart meters and how they can help you monitor your home's energy usage. How would you use a smart meter to manage your energy use? Each Thursday, you have the chance to share your thoughts on a question about energy efficiency or renewable energy for consumers. Please e-mail your responses to the Energy