National Library of Energy BETA

Sample records for monthly peak demand

  1. 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

  2. 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

  3. 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

  4. monthly_peak_1996_2004.xls

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

    Next Update: October 2007 Table 3a . January Monthly Peak Hour Demand, Actual by North American Electric Reliability Council Region, 1996 through 2004 (Megawatts) Month 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 Demand (MW) Peak Hour Demand (MW) Peak Hour Demand (MW)

  5. 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)

  6. ,"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"

  7. ,"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

    ,"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"

  8. ,"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"

  9. ,"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

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

    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","March","April","May","June","July","August","September","October","November","December"

  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

    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"

  12. ,"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"

  13. 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...

  14. 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 March April May June July August September October November December 1996 39,860 41,896 32,781 28,609 32,059 33,886 35,444 34,341 34,797 30,037 29,033 34,191 1997 37,127 28,144 27,998 28,458 33,859 34,125 35,356 35,375 33,620 31,798 27,669 31,189 1998 27,122 28,116 29,032 28,008 32,879 37,153 36,576 38,730 34,650

  15. 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

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

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

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

  17. 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...

  18. 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

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

    Office of Environmental Management (EM)

    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 ...

  20. 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.

  1. 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.

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

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

    Rancho Cordoba, CA - Building America Top Innovation | Department of Energy with Solar Electric Reduced Peak Demand: Premier Homes Rancho Cordoba, CA - Building America Top Innovation High-Performance with Solar Electric Reduced Peak Demand: Premier Homes Rancho Cordoba, CA - Building America Top Innovation Photo of homes in Premier Gardens. As the housing market continues to evolve toward zero net-energy ready homes, Building America research has provided essential guidance for integrating

  3. 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.

  4. Property:OpenEI/UtilityRate/FixedDemandChargeMonth1 | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Number. Name: Fixed Demand Charge Month 1 Pages using the property "OpenEIUtilityRateFixedDemandChargeMonth1"...

  5. Property:OpenEI/UtilityRate/FixedDemandChargeMonth11 | Open Energy...

    Open Energy Info (EERE)

    1 Jump to: navigation, search This is a property of type Number. Name: Fixed Demand Charge Month 11 Pages using the property "OpenEIUtilityRateFixedDemandChargeMonth11" Showing 2...

  6. Property:OpenEI/UtilityRate/FixedDemandChargeMonth2 | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Number. Name: Fixed Demand Charge Month 2 Pages using the property "OpenEIUtilityRateFixedDemandChargeMonth2"...

  7. Property:OpenEI/UtilityRate/FixedDemandChargeMonth3 | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Number. Name: Fixed Demand Charge Month 3 Pages using the property "OpenEIUtilityRateFixedDemandChargeMonth3"...

  8. Property:OpenEI/UtilityRate/FixedDemandChargeMonth6 | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Number. Name: Fixed Demand Charge Month 6 Pages using the property "OpenEIUtilityRateFixedDemandChargeMonth6"...

  9. Property:OpenEI/UtilityRate/FixedDemandChargeMonth8 | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Number. Name: Fixed Demand Charge Month 8 Pages using the property "OpenEIUtilityRateFixedDemandChargeMonth8"...

  10. Property:OpenEI/UtilityRate/FixedDemandChargeMonth7 | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Number. Name: Fixed Demand Charge Month 7 Pages using the property "OpenEIUtilityRateFixedDemandChargeMonth7"...

  11. Property:OpenEI/UtilityRate/FixedDemandChargeMonth9 | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Number. Name: Fixed Demand Charge Month 9 Pages using the property "OpenEIUtilityRateFixedDemandChargeMonth9"...

  12. Property:OpenEI/UtilityRate/FixedDemandChargeMonth5 | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Number. Name: Fixed Demand Charge Month 5 Pages using the property "OpenEIUtilityRateFixedDemandChargeMonth5"...

  13. Property:OpenEI/UtilityRate/FixedDemandChargeMonth4 | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Number. Name: Fixed Demand Charge Month 4 Pages using the property "OpenEIUtilityRateFixedDemandChargeMonth4"...

  14. Property:OpenEI/UtilityRate/FixedDemandChargeMonth12 | Open Energy...

    Open Energy Info (EERE)

    2 Jump to: navigation, search This is a property of type Number. Name: Fixed Demand Charge Month 12 Pages using the property "OpenEIUtilityRateFixedDemandChargeMonth12" Showing 2...

  15. Property:OpenEI/UtilityRate/FixedDemandChargeMonth10 | Open Energy...

    Open Energy Info (EERE)

    0 Jump to: navigation, search This is a property of type Number. Name: Fixed Demand Charge Month 10 Pages using the property "OpenEIUtilityRateFixedDemandChargeMonth10" Showing 2...

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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

  1. 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.

  2. 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.

  3. 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

  4. 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.

  5. 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.

  6. Monthly Energy

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

    to help us understand the issues affecting energy supply and demand, the economy, and the environment. I have just come aboard as the Administrator of EIA. The Monthly Energy...

  7. Electricity Monthly Update

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

    Update November 28, 2012 Map of Electric System Selected for Daily Peak Demand was replaced with the correct map showing Selected Wholesale Electricity and Natural Gas Locations....

  8. Electricity Monthly Update

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

    the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM),...

  9. Electricity Monthly Update

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

    Wholesale Markets: February 2014 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

  10. Electricity Monthly Update

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

    Regional Wholesale Markets: May 2015 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

  11. Electricity Monthly Update

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

    Wholesale Markets: August 2015 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

  12. 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

  13. 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...

  14. 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...

  15. Monthly Reports

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

    Environmental Management Monthly Reports - FY 2014 The Department of Energy Nevada Field Office Environmental Management Program creates monthly reports for the NSSAB. These...

  16. Monthly Reports

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

    Environmental Management Monthly Reports - FY 2015 The Department of Energy Nevada Field Office Environmental Management Program creates monthly reports for the NSSAB. These...

  17. Monthly Reports

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

    Environmental Management Monthly Reports - FY 2013 The Department of Energy Nevada Field Office Environmental Management Program creates monthly reports for the NSSAB. These...

  18. Monthly Reports

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

    Environmental Management Monthly Reports - FY 2012 The Department of Energy Nevada Field Office Environmental Management Program creates monthly reports for the NSSAB. These...

  19. Desert Peak EGS Project

    Broader source: Energy.gov [DOE]

    Desert Peak EGS Project presentation at the April 2013 peer review meeting held in Denver, Colorado.

  20. 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.

  1. February most likely month for flu season to peak

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

    that Wikipedia article access logs are shown to highly correlate with historical influenza-like illness (ILI) records and allow for accurate prediction of ILI data several...

  2. Demand Response

    Energy Savers [EERE]

    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

  3. 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

  4. travel-demand-modeling

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

    Demand Modeler, Cambridge Systematics, Tallahassee, FL Abstract ... Travel demand ... Ahmed Mohideen Travel Demand Modeler Cambridge Systematics, Tallahassee, FL Transportation ...

  5. 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...

  6. Peak power ratio generator

    DOE Patents [OSTI]

    Moyer, R.D.

    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. Peak power ratio generator

    DOE Patents [OSTI]

    Moyer, Robert D.

    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.

  8. 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.

  9. 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.

  10. REO Monthly

    Energy Science and Technology Software Center (OSTI)

    2010-12-31

    A spreadsheet written in Microsoft Excel that evaluates combinations of renewable energy technologies at a site and identifies the combination that minimizes life cycle cost. Constraints on the optimization such as percent of energy from renewable, available land area; available investment capital, etc make the optimization more useful. Inputs to the model include building location, number of square feet and floors; monthly energy use and cost for electric and any other fuels. Outputs include sizemore » of each RE technology total investment, utility costs, O&M costs; percent renewable; life cycle cost; rate of return; CO2 savings.« less

  11. 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)

  12. PEAK LIMITING AMPLIFIER

    DOE Patents [OSTI]

    Goldsworthy, W.W.; Robinson, J.B.

    1959-03-31

    A peak voltage amplitude limiting system adapted for use with a cascade type amplifier is described. In its detailed aspects, the invention includes an amplifier having at least a first triode tube and a second triode tube, the cathode of the second tube being connected to the anode of the first tube. A peak limiter triode tube has its control grid coupled to thc anode of the second tube and its anode connected to the cathode of the second tube. The operation of the limiter is controlled by a bias voltage source connected to the control grid of the limiter tube and the output of the system is taken from the anode of the second tube.

  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. 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.

  16. Electricity Monthly Update - Energy Information Administration

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

    warm weather caused low demand levels in the West. The natural gas price for New York City (Transco Zone 6 NY) saw a significant increase in price from the previous month,...

  17. 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

  18. 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

  19. 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.

  20. 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...

  1. East Coast blizzard cuts into gasoline demand, but home electricity demand rises

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

    East Coast blizzard cuts into gasoline demand, but home electricity demand rises U.S. monthly gasoline consumption declined in January, as the big winter storm that shut down many East Coast cities kept people in their homes and off the road. In its new monthly forecast, the U.S. Energy Information Administration said monthly gasoline consumption dropped 230,000 barrels per day in January compared to year-ago levels and that marked the first year-over-year decline in monthly gasoline use since

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

    SciTech Connect (OSTI)

    2009-01-18

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

  3. 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

  4. 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...

  5. 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" ...

  6. 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.

  7. ,"Month","Year","Contiguous U.S.","Eastern Power Grid",,,,,,,,"Texas Power Grid","Western Power Grid"

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

    " ","Next Update: October 2007" ,"Table 3a. January Monthly Peak Hour Demand, Actual by North American Electric Reliability Council Region, 1996 through 2004 " ,"(Megawatts)" ,"Month","Year","Contiguous U.S.","Eastern Power Grid",,,,,,,,"Texas Power Grid","Western Power Grid"

  8. ,"Projected Monthly Base","Year","Contiguous U.S.","Eastern Power Grid",,,,,,,,"Texas Power Grid","Western Power Grid"

    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"

  9. 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

  10. 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.

  11. 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).

  12. summer_peak_2004.xls

    Gasoline and Diesel Fuel Update (EIA)

    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...

  13. summer_peak_2003.xls

    Gasoline and Diesel Fuel Update (EIA)

    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...

  14. 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...

  15. 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...

  16. 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 ...

  17. 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...

  18. Petroleum Marketing Monthly

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

    ... U.S. Energy Information Administration | Petroleum Marketing Monthly 30 May 2016 Table 18. ... U.S. Energy Information Administration | Petroleum Marketing Monthly 31 May 2016 Table 18. ...

  19. Petroleum Marketing Monthly

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

    on Form EIA-782A, "Refi ners'Gas Plant Operators' Monthly Petroleum Product Sales Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 27 May 2016

  20. Petroleum Marketing Monthly

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

    U.S. Energy Information Administration | Petroleum Marketing Monthly 86 May 2016 Table 43. ... U.S. Energy Information Administration | Petroleum Marketing Monthly 87 May 2016 Table 43. ...

  1. Petroleum Marketing Monthly

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

    ... U.S. Energy Information Administration | Petroleum Marketing Monthly 16 May 2016 Table 7. ... Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 17 May 2016

  2. Petroleum Marketing Monthly

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

    ... on Form EIA-782A, "Refi ners'Gas Plant Operators' Monthly Petroleum Product Sales Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 6 May 2016

  3. Petroleum Marketing Monthly

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

    ... U.S. Energy Information Administration | Petroleum Marketing Monthly 100 May 2016 Table ... U.S. Energy Information Administration | Petroleum Marketing Monthly 101 May 2016 Table ...

  4. Petroleum Marketing Monthly

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

    ... on Form EIA-782A, "Refi ners'Gas Plant Operators' Monthly Petroleum Product Sales Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 10 May 2016

  5. Petroleum Marketing Monthly

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

    ... U.S. Energy Information Administration | Petroleum Marketing Monthly 20 May 2016 Table 9. ... Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 21 May 2016

  6. Petroleum Marketing Monthly

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

    ... U.S. Energy Information Administration | Petroleum Marketing Monthly 6 May 2016 Table 3. ... U.S. Energy Information Administration | Petroleum Marketing Monthly 8 May 2016 Table 4. ...

  7. Petroleum Marketing Monthly

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

    ... U.S. Energy Information Administration | Petroleum Marketing Monthly 104 May 2016 Table ... U.S. Energy Information Administration | Petroleum Marketing Monthly 105 May 2016 Table ...

  8. Petroleum Marketing Monthly

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

    U.S. Energy Information Administration | Petroleum Marketing Monthly 53 May 2016 Table 33. ... U.S. Energy Information Administration | Petroleum Marketing Monthly 54 May 2016 Table 33. ...

  9. Petroleum Marketing Monthly

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

    ... U.S. Energy Information Administration | Petroleum Marketing Monthly 24 May 2016 Table 11. ... Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 25 May 2016

  10. Petroleum Marketing Monthly

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

    on Administra on Form EIA-782A, "Refi ners'Gas Plant Operators' Monthly Petroleum Product Sales Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 90

  11. Petroleum Marketing Monthly

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

    ... on Form EIA-782A, "Refi ners'Gas Plant Operators' Monthly Petroleum Product Sales Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 12 May 2016

  12. Petroleum Marketing Monthly

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

    U.S. Energy Information Administration | Petroleum Marketing Monthly 49 May 2016 Table 32. ... U.S. Energy Information Administration | Petroleum Marketing Monthly 50 May 2016 Table 32. ...

  13. Petroleum Marketing Monthly

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

    ... U.S. Energy Information Administration | Petroleum Marketing Monthly 18 May 2016 Table 8. ... Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 19 May 2016

  14. Petroleum Marketing Monthly

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

    ... U.S. Energy Information Administration | Petroleum Marketing Monthly 78 May 2016 Table 41. ... U.S. Energy Information Administration | Petroleum Marketing Monthly 79 May 2016 Table 41. ...

  15. Petroleum Marketing Monthly

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

    ... U.S. Energy Information Administration | Petroleum Marketing Monthly 58 May 2016 Table 39. ... U.S. Energy Information Administration | Petroleum Marketing Monthly 59 May 2016 Table 39. ...

  16. Petroleum Marketing Monthly

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

    ... U.S. Energy Information Administration | Petroleum Marketing Monthly vii May 2016 Table ... U.S. Energy Information Administration | Petroleum Marketing Monthly viii May 2016 Figure ...

  17. Petroleum Marketing Monthly

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

    ... on Form EIA-782A, "Refi ners'Gas Plant Operators' Monthly Petroleum Product Sales Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 8 May 2016

  18. Petroleum Marketing Monthly

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

    U.S. Energy Information Administration | Petroleum Marketing Monthly 66 May 2016 Table 40. ... U.S. Energy Information Administration | Petroleum Marketing Monthly 67 May 2016 Table 40. ...

  19. Petroleum Marketing Monthly

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

    ... U.S. Energy Information Administration | Petroleum Marketing Monthly 14 May 2016 Table 6. ... Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 15 May 2016

  20. Petroleum Marketing Monthly

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

    Information Administration | Petroleum Marketing Monthly Table 45. Prime supplier sales ... U.S. Energy Information Administration | Petroleum Marketing Monthly 92 May 2016 Table 45. ...

  1. Petroleum Marketing Monthly

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

    ... on Form EIA-782A, "Refi ners'Gas Plant Operators' Monthly Petroleum Product Sales Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 26 May 2016

  2. Petroleum Marketing Monthly

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

    U.S. Energy Information Administration | Petroleum Marketing Monthly 82 May 2016 Table 42. ... U.S. Energy Information Administration | Petroleum Marketing Monthly 83 May 2016 Table 42. ...

  3. Petroleum Marketing Monthly

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

    ... U.S. Energy Information Administration | Petroleum Marketing Monthly 45 May 2016 Table 31. ... U.S. Energy Information Administration | Petroleum Marketing Monthly 46 May 2016 Table 31. ...

  4. Petroleum Marketing Monthly

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

    ... U.S. Energy Information Administration | Petroleum Marketing Monthly 22 May 2016 Table 10. ... Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 23 May 2016

  5. Petroleum Marketing Monthly

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

    tration, Form EIA-782A, "Refi ners'Gas Plant Operators' Monthly Petroleum Product Sales Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 28 May 2016

  6. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly board meeting is open to the public. This month, participants will receive an updateon the U-233 Project.

  7. National Women's History Month

    Broader source: Energy.gov [DOE]

    NATIONAL WOMEN’S HISTORY MONTH is an annual declared month that highlights the contributions of women to events in history and contemporary society.

  8. ORSSAB Monthly Board Meeting

    Office of Energy Efficiency and Renewable Energy (EERE)

    The ORSSAB MonthlyBoard meeting is open to the public. This month, participants will be briefed on the East Tennessee Technology Park Zone 1 Soils Proposed Plan.

  9. Monthly Energy Statistics

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

    Released for Printing: July 28, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  10. 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.

  11. 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.

  12. 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.

  13. 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

  14. 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

  15. 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

  16. 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 2004 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/MRO (U.S.) NPCC (U.S.) SERC SPP ERCOT WECC (U.S.) 1990/1991 484,231 67,097 30,800 36,551 32,461 21,113 40,545 86,648 38,949 35,815 94,252 1991/1992 485,761

  17. 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) Winter Noncoincident Peak Load 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.) 2005/2006 626,365 42,657 33,748 46,828 151,600 164,638 31,260 48,141 107,493 Contiguous U.S. Projected FRCC MRO (U.S.) NPCC (U.S.)

  18. 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 Year) Winter Noncoincident Peak Load 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.) 2006/2007 640,981 42,526 34,677 46,697 149,631 175,163 30,792 50,402 111,093 Contiguous U.S. Projected FRCC MRO (U.S.) NPCC (U.S.)

  19. Petroleum Marketing Monthly

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

    Crude oil prices U.S. Energy Information Administration | Petroleum Marketing Monthly 3 February 2016...

  20. 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.

  1. Demand Response Dispatch Tool

    SciTech Connect (OSTI)

    2012-08-31

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

  2. Demand 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

  3. METHOD OF PEAK CURRENT MEASUREMENT

    DOE Patents [OSTI]

    Baker, G.E.

    1959-01-20

    The measurement and recording of peak electrical currents are described, and a method for utilizing the magnetic field of the current to erase a portion of an alternating constant frequency and amplitude signal from a magnetic mediums such as a magnetic tapes is presented. A portion of the flux from the current carrying conductor is concentrated into a magnetic path of defined area on the tape. After the current has been recorded, the tape is played back. The amplitude of the signal from the portion of the tape immediately adjacent the defined flux area and the amplitude of the signal from the portion of the tape within the area are compared with the amplitude of the signal from an unerased portion of the tape to determine the percentage of signal erasure, and thereby obtain the peak value of currents flowing in the conductor.

  4. Silver Peak Innovative Exploration Project

    Broader source: Energy.gov [DOE]

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

  5. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The Oak Ridge Site Specific Advisory Board's monthly meeting is open to the public. The presentation and dicussion this month will focus on "Technology Development to Support Mercury Cleanup...

  6. ORSSAB monthly meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly meeting is open to the public. This month, participants will receive an update and breifing about the EM Disposal Facility from the Oak Ridge Office of Environmental Managment.

  7. Petroleum Marketing Monthly

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

    ... Sources: U.S. Energy Informa on Administra on, Form EIA-856, "Monthly Foreign Crude Oil Acquisi on Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 37 ...

  8. Petroleum Marketing Monthly

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

    ... Sources: U.S. Energy Informa on Administra on, Form EIA-856, "Monthly Foreign Crude Oil Acquisi on Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 38 ...

  9. Petroleum Marketing Monthly

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

    Sources: U.S. Energy Informa on Administra on, Form EIA-856, "Monthly Foreign Crude Oil Acquisi on Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 40 ...

  10. Petroleum Marketing Monthly

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

    ... Sources: U.S. Energy Informa on Administra on Form EIA-856, "Monthly Foreign Crude Oil Acquisi on Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 36 ...

  11. Petroleum Marketing Monthly

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

    ... Sources: U.S. Energy Informa on Administra on, Form EIA-856, "Monthly Foreign Crude Oil Acquisi on Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 39 ...

  12. Petroleum Marketing Monthly

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

    ... Sources: U.S. Energy Informa on Administra on Form EIA-856, "Monthly Foreign Crude Oil Acquisi on Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 35 ...

  13. Monthly Performance Report

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

    ... Nov-12 Dec-12 Jan-13 Feb-13 Mar-13 Apr-13 ... First Aid 12-Month Average FY 4.22 CY 4.74 EXECUTIVE OVERVIEW EXECUTIVE OVERVIEW MSC Monthly Performance Report MAY 2013 ...

  14. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly meetingis open to the public. This month the board will hear a presentation and discussthe FY 2016Oak Ridge Officeof Environmental Management's budget and prioritization.

  15. Electric Power Monthly

    Gasoline and Diesel Fuel Update (EIA)

    Electric Power Monthly Data for January 2016 | Release Date: March 25, 2016 | Next ... Revisions made to the March 2016 Electric Power Monthly: March 30, 2016 Tables 2.8.A-B ...

  16. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly meeting is open to the public. This month, participants will receive an update and breifing about the FY 2018 Budget Formulation and Prioritization of Projects from the Oak Ridge...

  17. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly meeting is open to the public. This month, participants will receive an update and breifing about the Groundwater Monitoring Program from the Oak Ridge Office of Environmental...

  18. Monthly Newsblast December 2012

    Broader source: Energy.gov [DOE]

    In the December 2012 Monthly Newsblast, read about a new funding opportunity, recyling Christmas trees, upcoming events, and more.

  19. Electric Power Monthly

    Gasoline and Diesel Fuel Update (EIA)

    Electric Power Monthly > Electric Power Monthly Back Issues Electric Power Monthly Back Issues Monthly Excel files zipped 2010 January February March April May June July August September October November December 2009 January February March April May June July August September October November December 2008 January February March March Supplement April May June July August September October November December 2007 January February March April May June July August September October November

  20. National LGBT Pride Month

    Broader source: Energy.gov [DOE]

    Lesbian, Gay, Bisexual and Transgender Pride Month (LGBT Pride Month) is currently celebrated each year in the month of June to honor the 1969 Stonewall riots in Manhattan. The Stonewall riots were a tipping point for the Gay Liberation Movement in the United States.

  1. 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.

  2. Demand Response Dispatch Tool

    Energy Science and Technology Software Center (OSTI)

    2012-08-31

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

  3. 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...

  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. 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...

  6. Monthly Performance Report

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

    2 Monthly Performance Report September 2015 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report SEP 2015 DOE/RL-2009-113 Rev 72 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report SEP 2015 DOE/RL-2009-113 Rev 72 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  7. Monthly Performance Report

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

    6 Monthly Performance Report January 2016 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JAN 2016 DOE/RL-2009-113 Rev 76 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report JAN 2016 DOE/RL-2009-113 Rev 76 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  8. MSC Monthly Performance Report

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

    7 Monthly Performance Report August 2013 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report AUG 2013 DOE/RL-2009-113 Rev 47 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report AUG 2013 DOE/RL-2009-113 Rev 47 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  9. MSC Monthly Performance Report

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

    5 Monthly Performance Report February 2010 F.A. Figueroa President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report February 2010 DOE/RL-2009-113 REV 5 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report February 2010 DOE/RL-2009-113 REV 5 iii CONTENTS OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  10. MSC Monthly Performance Report

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

    Monthly Performance Report November 2009 F.A. Figueroa President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report November 2009 DOE/RL-2009-113 REV 2 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report November 2009 DOE/RL-2009-113 REV 2 iii CONTENTS OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  11. MSC Monthly Performance Report

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

    8 Monthly Performance Report May 2010 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report May 2010 DOE/RL-2009-113 REV 8 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report May 2010 DOE/RL-2009-113 REV 8 iii CONTENTS OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  12. MSC Monthly Performance Report

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

    2 Monthly Performance Report July 2011 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report July 2011 DOE/RL-2009-113 REV 22 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report July 2011 DOE/RL-2009-113 REV 22 iii CONTENTS OVERVIEW 1.0 INTRODUCTION ......................................................................................................................... 1 1.1 Key Accomplishments

  13. MSC Monthly Performance Report

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

    1 Monthly Performance Report June 2011 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report June 2011 DOE/RL-2009-113 REV 21 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report June 2011 DOE/RL-2009-113 REV 21 iii CONTENTS OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  14. MSC Monthly Performance Report

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

    8 Monthly Performance Report March 2011 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report March 2011 DOE/RL-2009-113 REV 18 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report March 2011 DOE/RL-2009-113 REV 18 iii CONTENTS OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  15. MSC Monthly Performance Report

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

    0 Monthly Performance Report May 2011 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report May 2011 DOE/RL-2009-113 REV 20 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report May 2011 DOE/RL-2009-113 REV 20 iii CONTENTS OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  16. MSC Monthly Performance Report

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

    6 Monthly Performance Report November 2011 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report Nov 2011 DOE/RL-2009-113 Rev 26 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report Nov 2011 DOE/RL-2009-113 Rev 26 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  17. 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

  18. Native American Heritage Month

    Broader source: Energy.gov [DOE]

    This month, we celebrate the rich heritage and myriad contributions of American Indians and Alaska Natives, and we rededicate ourselves to supporting tribal sovereignty, tribal self-determination,...

  19. Petroleum Marketing Monthly

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

    U.S. Refi ner retail petroleum product volumes U.S. Energy Information Administration | Petroleum Marketing Monthly 9 May 2016

  20. Petroleum Marketing Monthly

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

    Volume of Petroleum Products U.S. Energy Information Administration | Petroleum Marketing ... U.S. Energy Information Administration | Petroleum Marketing Monthly 58 May 2016 Table 39. ...

  1. Petroleum Marketing Monthly

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

    U.S. Refi ner retail petroleum product prices U.S. Energy Information Administration | Petroleum Marketing Monthly 7 May 2016

  2. Petroleum Marketing Monthly

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

    Prices of Petroleum Products U.S. Energy Information Administration | Petroleum Marketing ... U.S. Energy Information Administration | Petroleum Marketing Monthly 45 May 2016 Table 31. ...

  3. Petroleum Marketing Monthly

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

    U.S. Refi ner wholesale petroleum product volumes U.S. Energy Information Administration | Petroleum Marketing Monthly 13 May 20

  4. Monthly Biodiesel Production Report

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

    Biodiesel producers and production capacity by state, February 2016 State Number of ... Source: U.S. Energy Information Administration, Form EIA-22M "Monthly Biodiesel Production ...

  5. Monthly Biodiesel Production Report

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

    Biodiesel (B100) production by Petroleum Administration for Defense District (PADD) ... Source: U.S. Energy Information Administration, Form EIA-22M "Monthly Biodiesel Production ...

  6. Electricity Monthly Update

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

    Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics,...

  7. Electricity Monthly Update

    Gasoline and Diesel Fuel Update (EIA)

    Electricity Monthly Update With Data for February 2016 | Release Date: April ... to the gains of other renewable energy sources (such as solar and wind), these recent NPD ...

  8. Electricity Monthly Update

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

    See all Electricity Reports Electricity Monthly Update With Data for November 2014 | Release Date: Jan. 26, 2015 | Next Release Date: Feb. 24, 2015 Previous Issues Issue:...

  9. ORSSAB Monthly Board Meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly board meetingis open to the public. The board will receive an update on the Transuranic Waste Processing Center.

  10. Electricity Monthly Update

    Gasoline and Diesel Fuel Update (EIA)

    Contact Information and Staff The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. ...

  11. Electricity Monthly Update

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

    Electricity Monthly Update Explained Highlights The Highlights page features in the center ... presents statistics on end-use: retail ratesprices and consumption of electricity. ...

  12. Electricity Monthly Update

    Gasoline and Diesel Fuel Update (EIA)

    Electric Power Sector Coal Stocks: February 2016 Stocks In February, U.S. coal stockpiles remained relatively flat compared to the previous month, deviating from the normal ...

  13. Electric Power Monthly

    Gasoline and Diesel Fuel Update (EIA)

    Analysis & Projections Glossary FAQS Overview Projection Data Monthly short-term forecasts to 2016 Annual projections to 2040 International projections All projections ...

  14. Electricity Monthly Update

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

    Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains...

  15. Electricity Monthly Update

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

    Contact Information and Staff The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S....

  16. National Energy Awareness Month

    Broader source: Energy.gov [DOE]

    October is National Energy Awareness Month. It's also a chance to talk about our country’s energy security and its clean energy future.

  17. ORSSAB monthly meeting

    Office of Energy Efficiency and Renewable Energy (EERE)

    This month's ORSSAB board meeting will focus on the ETTP Zone 1 soils proposed plan. The meeting is open to the public.

  18. Electricity Monthly Update

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

    as collected via the Form EIA-923. Nuclear Outages: Reflects the average daily outage amount for the month as reported by the Nuclear Regulatory Commission's Power Reactor...

  19. Monthly Energy Review

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

    December 23, 1997 Electronic Access Monthly Energy Review (MER) data are also available through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the...

  20. 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.

  1. Monthly Performance Report

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

    ... Aug-12 Sep-12 Oct-12 Nov-12 Dec-12 Jan-13 Feb-13 ... 4.01 3.89 4.02 4.12 4.22 First Aid Monthly First Aid 12-Month Average FY ... Performance Report JUL 2013 DOERL-2009-113 Rev 46 ...

  2. Monthly Performance Report

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

    ... Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13 ... 3.89 4.02 4.12 4.22 4.27 4.52 4.40 4.74 4.87 First Aid Monthly First Aid 12-Month ... Report DEC 2013 DOERL-2009-113 Rev ...

  3. Monthly Performance Report

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

    ... Dec-12 Jan-13 Feb-13 Mar-13 Apr-13 May-13 ... 3.89 4.02 4.12 4.22 4.27 4.52 4.40 4.79 First Aid Monthly First Aid 12-Month Average ... Report NOV 2013 DOERL-2009-113 Rev ...

  4. Monthly Performance Report

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

    ... Oct-12 Nov-12 Dec-12 Jan-13 Feb-13 Mar-13 Apr-13 ... 4.01 3.89 4.02 4.12 4.22 4.27 4.36 First Aid Monthly First Aid 12-Month Average ... Report SEP 2013 DOERL-2009-113 Rev 48 ...

  5. NNSA and Energy Awareness Month | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Features NNSA and Energy Awareness Month The National Nuclear Security Administration is making significant reductions in energy usage as NNSA meets the demands of the Stockpile Stewardship mission. The National Nuclear Security Administration is making significant reductions in energy usage as NNSA meets the demands of the Stockpile Stewardship mission. The National Nuclear Security Administration is making significant reductions in energy usage as NNSA meets the demands of the Stockpile

  6. 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.

  7. 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.

  8. Petroleum supply monthly

    SciTech Connect (OSTI)

    Not Available

    1983-05-01

    Information on the supply and distribution of petroleum and petroleum products in the US as of March 1983 is presented. Data include statistics on crude oil, motor gasoline, distillate fuel oil, residual fuel oil, liquefied petroleum gases, imports, exports, stocks, and transport. This issue also features 2 articles entitled: Summer Gasoline Overview and Principal Factors Influencing Motor Gasoline Demand. (DMC)

  9. ORSSAB monthly board meeting

    Office of Energy Efficiency and Renewable Energy (EERE)

    The ORSSAB monthly board meeting is open to the public. The board will hear a presentation and discuss the development of a comprehensive mercury strategy for the Oak Ridge Reservation.

  10. National Cybersecurity Awareness Month

    Broader source: Energy.gov [DOE]

    The White House has designated October as National Cybersecurity Awareness Month (NCSAM) in which the Department of Energy (DOE) joins the Department of Homeland Security (DHS) and others across...

  11. Petroleum Marketing Monthly

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

    ... nal. Sources: U.S. Energy Informa on Administra on, Form EIA-182, "Domes c Crude Oil First Purchase Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 33

  12. Petroleum Marketing Monthly

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

    Sources: U.S. Energy Informa on Administra on, Form EIA-182, "Domes c Crude Oil First Purchase Report." U.S. Energy Information Administration | Petroleum Marketing Monthly 34 May ...

  13. Monthly Biodiesel Production Report

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

    U.S. Inputs to biodiesel production million pounds Period Canola oil Corn oil Cottonseed ... Source: U.S. Energy Information Administration, Form EIA-22M "Monthly Biodiesel Production ...

  14. Monthly Report 2015

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

    Report 2015 Monthly Report for the Reporting Period ending November 30, 2015, as required by NMED Administrative Orders dated February 27, 2014 and May 12, 2014, as Amended by NMED ...

  15. MSC Monthly Performance Report

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

    Report January 2010 F.A. Figueroa President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report January 2010 DOE...

  16. MSC Monthly Performance Report

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

    Report December 2009 F.A. Figueroa President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report December 2009 DOE...

  17. Monthly Performance Report

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

    ... assumptions for FY 2013-2018 Plateau Remediation ... First Aid First Aid Upper Limit 12-Month Average FY4.48 CY ... Management 420 420 522 0 (102) 12,409 12,409 8,752 ...

  18. Monthly Performance Report

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

    ......... 22 10.0 RELIABILITY PROJECT ... Contracts Partnering Meetings - The first of monthly ... Analysis 0.0 1.0 2.0 3.0 4.0 5.0 Nov-10 Dec-10 Jan-11 Feb-11 ...

  19. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly board meeting is open to the public. The board will receive an update on the Community Reuse Organization of East Tennessee efforts at the East Tennessee Technology Park.

  20. National Women's History Month

    Broader source: Energy.gov [DOE]

    During Women's History Month, we recall that the pioneering legacy of our grandmothers and great-grandmothers is revealed not only in our museums and history books, but also in the fierce...

  1. Electricity Monthly Update

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

    in the Northeast. States from Pennsylvania to the north and east are shaded grey due to a low CDD baseline for the month, obscuring record average temperatures in that...

  2. Disability Employment Awareness Month

    Broader source: Energy.gov [DOE]

    Utilizing the talents of all Americans is essential for our Nation to out-innovate, out-educate, and out-build the rest of the world.  During National Disability Employment Awareness Month, we...

  3. Electricity Monthly Update

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

    California (CAISO) due to very low natural gas prices. Hawaii's retail electricity revenue per kilowatthour fell the most of any state for the fifth month in a row, down 24%...

  4. Electricity Monthly Update

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

    not necessarily coincide with the beginning and the end of months. For example, retail revenue and sales data reported in July reflects data for billing cycles that end sometime...

  5. Black History Month

    Broader source: Energy.gov [DOE]

    During National African American History Month, we pay tribute to the contributions of past generations and reaffirm our commitment to keeping the American dream alive for the next generation.  In...

  6. Historical Monthly Energy Review

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

    73-92) Distribution Category UC-950 Historical Monthly Energy Review 1973-1992 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy...

  7. Monthly Energy Review

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

    May 26, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER...

  8. Monthly Reports 2014

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

    Waste Isolation Pilot Plant Hazardous Waste Facility Permit Number: NM4890139088-TSDF Jose R. FrancoCBFO and Robert L. McQuinnNWP dated December 29, 2014 Monthly Report for the...

  9. NUG Monthly Telecon Agenda

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

    2th May 2016 NUG Monthly Telecon Agenda * System updates * Move/outage update, Rhine Redwood OS upgrade * Accounts and charging corrections * File system licenses * HPC software engineering seminar series * The NERSC Burst Buffer: Early User Experiences Cori Update Richard Gerber NUG Monthly, 5/12/2016 * - * - - - - * - - Upcoming Cori Outages 1 node jobs can now run for 96 hours * * * * * * - Beta Cray Compilers * * - - * - - * - * - * - - * - - - * - * * Cori Phase 2 Planned Timeline Charging

  10. Monthly Biodiesel Production Report

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

    Monthly Biodiesel Production Report With data for February 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 April 2016 U.S. Energy Information Administration | Monthly Biodiesel Production Report This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or

  11. BLACK HISTORY MONTH

    Broader source: Energy.gov [DOE]

    Black History Month is an annual celebration of achievements by black Americans and a time for recognizing the central role of African Americans in U.S. history. The event grew out of “Negro History Week,” created by historian Carter G. Woodson and other prominent African Americans. Other countries around the world, including Canada and the United Kingdom, also devote a month to celebrating black history.

  12. 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.

  13. 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...

  14. 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

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

    SciTech Connect (OSTI)

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

    2015-10-05

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

  16. ,"Month","Year","Contiguous U.S.","Eastern Power Grid",,,,,,"Texas Power Grid","Western Power Grid"

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

    3a. January Monthly Peak Hour Demand, Actual by North American Electric Reliability Corporation Region, 2005 through 2009 " ,"(Megawatts)",,," " " " ,"Month","Year","Contiguous U.S.","Eastern Power Grid",,,,,,"Texas Power Grid","Western Power Grid" ,,,,"FRCC"," MRO (U.S.)","NPCC (U.S.)","RFC","SERC","SPP","TRE (ERCOT)","WECC

  17. Monthly Energy Review

    SciTech Connect (OSTI)

    1996-05-28

    This publication presents an overview of the Energy information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief ``energy plugs`` (reviews of EIA publications) are included, as well.

  18. National Cybersecurity Awareness Month

    Broader source: Energy.gov [DOE]

    Every October, the Department of Energy joins the Department of Homeland Security (DHS) and others across the country in support of National Cybersecurity Awareness Month and the “Stop. Think. Connect.” campaign. This year marks the tenth year of the cybersecurity awareness campaign.

  19. Monthly Performance Report

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

    ... for a set-aside for FY 2013 funding RL Expected Funds ... First Aid First Aid Upper Limit 12-Month Average FY4.38 CY ... 1,907 0 784 19,172 18,350 822 3001.04.12 - B Reactor 33 166 ...

  20. Monthly Performance Report

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

    ... of (634K) SWS (229.2K) and RL20 (84.8K), ... Nov-14 Dec-14 Jan-15 Feb-15 Mar-15 Monthly First Aid 3.83 3.79 6.21 6.85 ... the baseline for FY 2013, FY 2014, and FY 2015. ...

  1. Monthly Performance Report

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

    ... 0.0 22.4 0.0 22.4 RL-0040 Reliability ... 77 11 Table 3-4. First Aid Case Rate MSC Monthly Performance Report FEB 2016 DOERL-2009-113 ... the baseline for FY 2013, FY 2014, FY 2015, ...

  2. Monthly Performance Report

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

    ... 19.2 21.6 (0.8) 22.4 RL-0040 Reliability ... Nov-14 Dec-14 Jan-15 Feb-15 Monthly First Aid 4.57 3.83 3.79 6.21 ... the baseline for FY 2013, FY 2014, and FY 2015. ...

  3. Monthly Performance Report

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

    ... Feb-13 Mar-13 Apr-13 May-13 Jun-13 Jul-13 Aug-13 ... 2014 has experienced 19 First Aid cases. FY 2013 ended with 85 First Aid ... 3.79 6.76 3.23 5.76 3.22 2.28 3-Month Average 3.33 ...

  4. Monthly Performance Report

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

    ... FY 2013 ended with 85 first aid cases, equating to ... Nov-13 Dec-13 Jan-14 Feb-14 Mar-14 Apr-14 Monthly First Aid 6.58 3.25 6.70 ... Average 4.02 4.12 4.22 4.27 4.52 4.43 4.66 4.72 ...

  5. Monthly Performance Report

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

    ... Jan-11 Feb-11 Mar-11 Apr-11 May-11 Jun-11 Jul-11 Aug-11 ... First Aid First Aid Upper Limit 12-Month Average FY 2.7 CY ... 0 0 1,164 1,164 2,186 0 (1,022) 1,164 2,186 (1,022) ...

  6. Monthly Performance Report

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

    ... Nov-13 Dec-13 Jan-14 Feb-14 Mar-14 Apr-14 May-14 ... 2014 has experienced 52 First Aid cases. FY 2013 ended with 85 first aid ... 5.06 12-Month Average 4.22 4.27 4.52 4.43 4.66 4.72 ...

  7. Monthly Performance Report

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

    ... 0.58 0.40 0.19 0.21 0.22 0.44 12-Month Average ... For Fiscal Year 2013 the MSA has had a total of 45 First Aid cases. 0.00 2.00 4.00 ... Nov-12 Dec-12 Jan-13 Feb-13 Mar-13 Apr-13 ...

  8. Monthly Performance Report

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

    ... FY 2013 ended with 85 first aid cases, equating to a ... Nov-13 Dec-13 Jan-14 Feb-14 Mar-14 Monthly First Aid 6.21 6.58 3.25 6.70 ... 3.89 4.02 4.12 4.22 4.27 4.52 4.38 4.61 4.66 ...

  9. Monthly energy review

    SciTech Connect (OSTI)

    1997-12-01

    This document presents an overview of the Energy Information Administration`s (EIA) recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors.

  10. 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.

  11. 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.

  12. Electric power monthly

    SciTech Connect (OSTI)

    1995-08-01

    The Energy Information Administration (EIA) prepares the Electric Power Monthly (EPM) for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. This publication provides monthly statistics for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source, consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead.

  13. Petroleum Marketing Monthly

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

    Prices U.S. Energy Information Administration | Petroleum Marketing Monthly Table 18. Domes c crude oil fi rst purchase prices dollars per barrel Year month U.S. Average PAD District 1 PAD District 2 U.S. Average Less AK North Slope Average NY PA WV Average IL IN KS KY MI NE 1990 20.03 21.57 22.06 23.32 23.00 22.16 22.88 23.36 23.46 23.21 23.20 22.92 21.94 1991 16.54 18.16 19.01 19.67 19.48 W 19.58 20.19 20.20 19.84 19.84 19.88 18.78 1992 15.99 17.38 18.52 19.05 19.01 18.09 18.63 19.26 19.27

  14. Petroleum Marketing Monthly

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

    Statistics U.S. Energy Information Administration | Petroleum Marketing Monthly Table 1. Crude oil prices dollars per barrel Year month Domes c fi rst purchase prices Average F.O.B.[a] cost of crude oil imports[b] Average landed cost of crude oil imports[b] Refi ner acquisi on cost of crude oil Domes c Imported Composite 1990 average 20.03 20.37 21.13 22.59 21.76 22.22 1991 average 16.54 16.89 18.02 19.33 18.70 19.06 1992 average 15.99 16.77 17.75 18.63 18.20 18.43 1993 average 14.25 14.71 15.72

  15. Electric power monthly

    SciTech Connect (OSTI)

    Smith, Sandra R.; Johnson, Melvin; McClevey, Kenneth; Calopedis, Stephen; Bolden, Deborah

    1992-05-01

    The Electric Power Monthly is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed for the North American Electric Reliability Council (NERC) regions. Additionally, statistics by company and plant are published in the EPM on capability of new plants, new generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel.

  16. Petroleum marketing monthly

    SciTech Connect (OSTI)

    1996-02-01

    The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

  17. Petroleum marketing monthly

    SciTech Connect (OSTI)

    1996-07-01

    Petroleum Marketing Monthly (PPM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o. b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

  18. Petroleum marketing monthly

    SciTech Connect (OSTI)

    1995-08-01

    The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

  19. Monthly News Blast

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

    YouTube  Facebook  Twitter Blog Past Newsletters Bioenergy Social Media & Multimedia Corner Monthly News Blast July 2013 Secretaries Moniz and Vilsack Speaking at Biomass 2013 Secretary of Energy Ernest Moniz and Secretary of Agriculture Tom Vilsack have confirmed that they will speak at the upcoming Biomass 2013 conference to be held in Washington, D.C. on July 31-August 1. Secretary Vilsack will be an opening keynote presenter on Thursday morning, August 1, and Secretary Moniz will

  20. Monthly Newsblast December 2012

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

    YouTube  Facebook  Twitter Program Blog Past Newsletters Program Presentations Biomass Social Media & Multimedia Corner Monthly News Blast December 2012 New Year, New Name As changes to the Department of Energy's Office of Energy Efficiency and Renewable Energy are put into place, the Biomass Program is being rebranded. Effective in 2013, we'll be known as the "Biomass Technologies Office." New Funding Opportunity Announcement: Carbon, Hydrogen, and Separation Efficiencies

  1. Monthly Performance Report

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

    ... 0.39 0.40 0.19 0.21 0.22 0.44 0.44 0.89 12-Month ... 2013, there have been 41 First Aid cases. 0.00 2.00 4.00 6.00 8.00 10.00 Jul-12 Aug-12 Sep-12 Oct-12 Nov-12 Dec-12 Jan-13 Feb-...

  2. NUG Monthly Telecon Welcome!

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

    8th 2015 NUG Monthly Telecon Welcome! - 3 - Jeff Broughton NERSC Deputy for Operations Computational Research and Theory Facility (CRT) - 3 - - 4 - CRT is complete, and NERSC is moving in! - 4 - - 5 - CRT will help meet the needs of future Exascale system * Accommodate system trends - Power and power density is increasing - Systems are getting heavier - Expect (exotic) liquid cooling * Accommodate system growth - Capability for flexible expansion is key * Improve energy efficiency - Exploit Bay

  3. Petroleum Supply Monthly

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

    January 2016 Appendix D Northeast Reserves Reserves inventories are not considered to be in the commercial sector and are excluded from EIA's commercial motor gasoline and distillate fuel oil supply and disposition statistics, such as those reported in the Weekly Petroleum Status Report, Petroleum Supply Monthly, and This Week In Petroleum. Northeast Home Heating Oil Reserve classifed as ultra-low sulfur distillate (15 parts per million) Terminal Operator Location Thousand Barrels Buckeye

  4. STEAB MONTHLY TELECONFERENCE

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

    STEAB MONTHLY TELECONFERENCE Thursday, February 18 th , 2016 3:30 pm Eastern Time Call-in number: 1-800-747-5150 Passcode: 1143469 AGENDA Task Force Updates: - US Energy Productivity and Economic Competitiveness Task Force - Weatherization Task Force - QER Task Force - States Needs/111D Task Force - HUD Task Force - Grid Modernization Task Force Mike Li and Frank Murray Finalize Speaker List/Agenda for March Meeting Mike Li and Frank Murray Public Comment Frank Murray Other or New Business STEAB

  5. 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.

  6. 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...

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

    SciTech Connect (OSTI)

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

    2008-11-19

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

  8. 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...

  9. 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.

  10. Petroleum Marketing Monthly

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

    Marketing Monthly May 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other offi cer or employee of the United States Government. The views in this report therefore should not be construed as representing those of

  11. Petroleum Supply Monthly

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

    With Data for February 2016 April 2016 Energy Information Administration/Petroleum Supply Monthly, ii January 2016 EIA DATA ARE AVAILABLE IN ELECTRONIC FORM All current EIA publications are available on the EIA web site. Users can view and download selected pages or entire reports, search for information, download EIA data and analysis applications, and fnd out about new EIA information products and services: World Wide Web: http://www.eia.doe.gov FTP: ftp://ftp.eia.doe.gov Customers who do not

  12. Petroleum marketing monthly

    SciTech Connect (OSTI)

    1995-11-01

    The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data.

  13. 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...

  14. Monthly Energy Review - April 2006

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

    Released for Printing: May 25, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  15. Monthly Energy Review - August 2003

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

    Released for Printing: August 26, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  16. Monthly Energy Review - January 2003

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

    for Printing: January 30, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  17. Monthly Energy Review - May 2004

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

    Released for Printing: May 26, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  18. Monthly Energy Review - October 2005

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

    for Printing: October 26, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  19. Monthly Energy Review - November 2004

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

    for Printing: November 23, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  20. Monthly Energy Review - September 2004

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

    for Printing: September 28, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  1. Monthly Energy Review - May 2007

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

    7 DOEEIA-0035(200705) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy...

  2. Monthly Energy Review - November 2002

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

    for Printing: December 6, 2002 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  3. Monthly Energy Review -January 2005

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

    for Printing: January 27, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  4. Monthly Energy Review - February 2004

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

    for Printing: February 24, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  5. Monthly Energy Review - June 2007

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

    7 DOEEIA-0035(200706) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy...

  6. Monthly Energy Review - January 2010

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

    workday of each month. Released: January 29, 2010 DOEEIA-0035(201001) Monthly Energy Review January 2010 U.S. Energy Information Administration Office of Energy Markets...

  7. Monthly Energy Review - February 2007

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

    7 DOEEIA-0035(200702) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy...

  8. Monthly Energy Review - November 2003

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

    for Printing: November 24, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  9. Monthly Energy Review - October 2007

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

    0) October 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics....

  10. Monthly Energy Review - March 2004

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

    Released for Printing: March 29, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  11. Monthly Energy Review - September 2005

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

    for Printing: September 27, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  12. Monthly Energy Review - May 2003

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

    Released for Printing: June 10, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  13. Monthly Energy Review - June 2006

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

    Released for Printing: June 27, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  14. Monthly Energy Review - February 2005

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

    for Printing: February 23, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  15. Monthly Energy Review - December 2002

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

    for Printing: December 23, 2002 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  16. Monthly Energy Review - March 2003

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

    Released for Printing: April 2, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  17. Monthly Energy Review - October 2006

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

    for Printing: October 26, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  18. Monthly Energy Review - July 2004

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

    Released for Printing: July 27, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  19. Monthly Energy Review - February 2006

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

    for Printing: February 23, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  20. Monthly Energy Review - June 2003

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

    Released for Printing: June 30, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  1. Monthly Energy Review - April 2007

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

    7 DOEEIA-0035(200704) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy...

  2. Monthly Energy Review - July 2005

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

    Released for Printing: July 26, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  3. Monthly Energy Review - December 2003

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

    for Printing: December 23, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  4. Monthly Energy Review - June 2004

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

    Released for Printing: June 25, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  5. Monthly Energy Review - April 2003

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

    Released for Printing: May 22, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  6. Monthly Energy Review - September 2003

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

    for Printing: September 26, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  7. Monthly Energy Review - May 2005

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

    Released for Printing: May 25, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  8. Monthly Energy Review - September 2006

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

    for Printing: September 27, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  9. Monthly Energy Review - November 2005

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

    for Printing: November 23, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  10. Monthly Energy Review - April 2005

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

    Released for Printing: April 27, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  11. Monthly Energy Review - August 2005

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

    Released for Printing: August 29, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  12. Monthly Energy Review - March 2007

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

    7 DOEEIA-0035(200703) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy...

  13. Monthly Energy Review - December 2006

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

    for Printing: December 21, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  14. Monthly Energy Review - August 2006

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

    Released for Printing: August 28, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  15. Monthly Energy Review - April 2006

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

    Released for Printing: April 25, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  16. Monthly Energy Review - November 2006

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

    for Printing: November 22, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  17. Monthly Energy Review - March 2005

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

    Released for Printing: March 31, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  18. Monthly Energy Review - October 2003

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

    for Printing: October 27, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  19. Monthly Energy Review - April 2004

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

    Released for Printing: April 28, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  20. Monthly Energy Review - July 2007

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

    7 DOEEIA-0035(200707) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy...

  1. Monthly Energy Review - January 2004

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

    for Printing: January 29, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  2. Monthly Energy Review - December 2004

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

    for Printing: December 22, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  3. Monthly Energy Review - October 2004

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

    for Printing: October 26, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  4. Monthly Energy Review - February 2003

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

    for Printing: February 28, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  5. Monthly Energy Review - July 2006

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

    Released for Printing: July 26, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  6. Monthly Energy Review - December 2005

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

    for Printing: December 22, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  7. Monthly Energy Review - August 2004

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

    Released for Printing: August 25, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  8. Monthly Energy Review - March 2006

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

    Released for Printing: March 27, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  9. Monthly Energy Review - June 2005

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

    Released for Printing: June 27, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  10. Monthly Energy Review - January 2006

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

    for Printing: January 25, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  11. Monthly Energy review - July 2009

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

    9 July 2009 DOEEIA-0035(200907) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical...

  12. Monthly Energy Review - January 2009

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

    1) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are...

  13. Monthly Energy review - September 2009

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

    9 September 2009 DOEEIA-0035(200909) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and...

  14. Monthly Energy Review - November 2008

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

    1) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are...

  15. Monthly Energy review - August 2009

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

    9 August 2009 DOEEIA-0035(200908) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical...

  16. Monthly Energy Review - December 2008

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

    2) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are...

  17. Monthly Energy Review - November 2009

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

    November 2009 DOEEIA-0035(200911) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical...

  18. Monthly Energy Review - October 2009

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

    9 October 2009 DOEEIA-0035(200910) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical...

  19. Monthly Energy Review - September 2007

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

    09) September 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics....

  20. Monthly Energy Review - February 2009

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

    2) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are...

  1. Monthly Energy Review - November 2007

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

    1) November 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics....

  2. Monthly Energy Review - December 2007

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

    2) December 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics....

  3. Monthly Energy Review - August 2007

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

    Energy Information Administration DOEEIA-0035(200708) August 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary...

  4. Energy Information Administration/Natural Gas Monthly October 2000

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

    Natural Gas Monthly October 2000 vii Status of Natural Gas Pipeline System Capacity Entering the 2000-2001 Heating Season During the summer and fall of 2000 natural gas prices reached record highs for a nonheating season period. The dramatic rise in prices resulted from an upsurge in natural gas demand, mainly from electric generation needs during a warmer-than-usual spring and summer. The increased demand has occurred while domestic production levels have continued to decrease over the past

  5. China, India demand cushions prices

    SciTech Connect (OSTI)

    Boyle, M.

    2006-11-15

    Despite the hopes of coal consumers, coal prices did not plummet in 2006 as demand stayed firm. China and India's growing economies, coupled with solid supply-demand fundamentals in North America and Europe, and highly volatile prices for alternatives are likely to keep physical coal prices from wide swings in the coming year.

  6. 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.

  7. 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.

  8. Automated Demand Response and Commissioning

    SciTech Connect (OSTI)

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

    2005-04-01

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

  9. Petroleum Marketing Monthly

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

    Landed costs of imported crude oil for selected crude streams dollars per barrel Year quarter month Algerian Saharan Blend Brazilian Marlim Canadian Bow River Heavy Canadian Light Sour Blend Canadian Lloydminster 1995 - - 15.77 - 15.56 1996 - - 19.18 - 18.50 1997 - - 16.46 - 15.72 1998 - - 10.41 - 10.15 1999 - - 16.02 - 16.16 2000 - - 23.96 - 23.75 2001 - - 17.93 - 17.26 2002 - - 21.23 - 20.71 2003 - - 25.10 - 24.18 2004 - - 30.88 - 30.54 2005 - - 39.22 - 37.59 2006 - - 48.38 - 46.96 2007 - -

  10. Petroleum Marketing Monthly

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

    5. Prime supplier sales volumes of motor gasoline by grade, formula on, PAD District, and state thousand gallons per day Geographic area month Regular Midgrade Conven onal Reformulated Total Conven onal Reformulated Total United States February 2016 208,835.0 103,837.1 312,672.0 4,126.1 2,562.5 6,688.6 January 2016 198,609.7 98,813.7 297,423.5 4,022.1 2,463.0 6,485.2 February 2015 205,693.7 101,194.6 306,888.4 4,131.4 2,553.0 6,684.4 PAD District 1 February 2016 64,748.8 40,485.8 105,234.8

  11. 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.

  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. 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.

  14. 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.

  15. Monthly Project Bulletin: October 2012

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

    Announced for Pilot Certification Due to strong demand for the Energy Auditor and Quality ... According to the U.S. Department of Energy, families receiving weatherization services see ...

  16. Petroleum Supply Monthly

    SciTech Connect (OSTI)

    1996-02-01

    The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major U.S. geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

  17. Petroleum supply monthly

    SciTech Connect (OSTI)

    1995-10-01

    The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blends, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States.

  18. Petroleum Marketing Monthly

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

    A. Refi ner acquisi on cost of crude oil by PAD Districts dollars per barrel Year month U.S. PAD District 1 PAD District 2 Domes c Imported Composite Domes c Imported Composite Domes c Imported Composite 2004 38.97 35.90 36.98 40.75 38.29 38.34 40.80 35.63 38.38 2005 52.94 48.86 50.24 56.89 53.29 53.35 54.57 46.11 50.75 2006 62.62 59.02 60.24 66.92 63.53 63.60 63.66 55.19 59.70 2007 69.65 67.04 67.94 70.62 72.48 72.44 71.10 62.17 66.90 2008 98.47 92.77 94.74 100.30 96.90 96.97 100.98 88.45 94.93

  19. 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.

  20. Residential Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

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

  1. Drivers of Future Energy Demand

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

    Drivers of 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

  2. Monthly News Blast: March 2013

    Broader source: Energy.gov [DOE]

    In the March 2013 Monthly News Blast, read about two upcoming webinars, two recently announced BETO events, recent blog posts, the monthly staff spotlight video, upcoming events, and more.

  3. National Safety Month- June 2013

    Broader source: Energy.gov [DOE]

    National Safety Month is recognized by employers, employees, and safety and health professionals throughout the country. During the month of June, HSS provided information, activities, and events pertaining to weekly themes.

  4. Monthly Energy Review - November 2000

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

    November 2000 www.eia.doe.gov Energy Information Administration On the Web at: www.eia.doe.govmer Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the...

  5. April 2013 Monthly News Blast

    Broader source: Energy.gov [DOE]

    The monthly news blast for April 2013 highlights the Project Peer Review, upcoming events, BETO blog posts, and more.

  6. 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.

  7. Monthly energy review, August 1997

    SciTech Connect (OSTI)

    1997-08-01

    The Monthly Energy Review for the month of August 1997, presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors.

  8. 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.

  9. 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.

  10. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  11. 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.

  12. 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.

  13. 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.

  14. U.S. Coal Supply and Demand

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

    Coal > 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 ...

  15. 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.

  16. 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.

  17. 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.

  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. 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...

  20. 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...

  1. 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 ...

  2. Prompt-Month Energy Futures

    Gasoline and Diesel Fuel Update (EIA)

    reference delivery for the next month sooner than other commodity prices. Product Description Listed With Crude Oil (barrel) West Texas Intermediate (WTI) light sweet crude...

  3. EIA-819, Monthly Oxygenate Report ...

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

    (EIA) Form EIA-819, "Monthly Biofuel and Oxygenate Report," is used to collect data on ethanol production capacity, as well as stocks, receipts, inputs, production, and blending of...

  4. Monthly energy review. May 1998

    SciTech Connect (OSTI)

    1998-05-01

    This report presents recent energy monthly statistics on the production, consumption, trade, stocks, and prices of petroleum, natural gas, coal, electricity, and nuclear energy.

  5. Monthly energy review, January 1998

    SciTech Connect (OSTI)

    1998-01-01

    This report presents an overview of recent monthly energy statistics. Major activities covered include production, consumption, trade, stocks, and prices for fossil fuels, electricity, and nuclear energy.

  6. Monthly Energy Review, June 1997

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

    Monthly Energy Review June 1997 ii Contents Page Energy Plug: An Analysis of U.S. Propane Markets: Winter 1996-1997 . . . . . . . . . . . . . . . . . . . . . . . . . . . ....

  7. Natural gas monthly, August 1995

    SciTech Connect (OSTI)

    1995-08-24

    The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. This month`s feature article is on US Natural Gas Imports and Exports 1994.

  8. Natural Gas Monthly, October 1993

    SciTech Connect (OSTI)

    Not Available

    1993-11-10

    The (NGM) Natural Gas Monthly highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. This month`s feature articles are: US Production of Natural Gas from Tight Reservoirs: and Expanding Rule of Underground Storage.

  9. Monthly News Blast: January 2013

    Broader source: Energy.gov [DOE]

    In the January 2013 Monthly News Blast, read about two new funding opportunities, the latest MYPP update, upcoming events, and more.

  10. Windpower Monthly | Open Energy Information

    Open Energy Info (EERE)

    Sector: Wind energy Product: Windpower Monthly is a energy news magazine. It features articles on political, industrial, environmental and technical developments in the global wind...

  11. EIA-819 Monthly Oxygenate Report

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

    Report Released: March 12, 2009 Notice: The Petroleum Supply Monthly has incorporated ethanol production (formerly published in PSM Appendix D) into petroleum supply and ...

  12. Monthly Energy Review - October 1999

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

    October 26, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and...

  13. Monthly Energy Review - March 2001

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

    and additional mailing offices. POSTMASTER: Send address changes to Monthly Energy Review, Energy Information Administration, EI-30, 1000 Independence Avenue, SW,...

  14. Monthly Energy Review - April 2001

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

    April 30, 2001 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http:...

  15. Monthly Energy Review - June 2000

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

    June 27, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and...

  16. Monthly Energy Review - April 200

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

    April 26, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and...

  17. Monthly Energy Review - September 1999

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

    September 27, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1),...

  18. Monthly Energy Review - December 1999

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

    December 22, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1),...

  19. Monthly Energy Review - June 2001

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

    June 28, 2001 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http:...

  20. Monthly Energy Review - February 2000

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

    February 24, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1),...

  1. Monthly Energy Review, January 1998

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

    January 27, 1998 Electronic Access Monthly Energy Review (MER) data are also available through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the...

  2. Monthly Energy Review - March 2000

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

    March 28, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and...

  3. Monthly Energy Review - September 2000

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

    September 26, 2000 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http:...

  4. Monthly Energy Review - January 2000

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

    January 28, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and...

  5. Monthly Energy Review - January 2007

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

    Petroleum Monthly. Readers of the MER may also be interested in EIA's Annual Energy Review, where many of the same data series are provided annually beginning with 1949....

  6. Monthly Energy Review - May 2000

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

    May 26, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and...

  7. Monthly Energy Review - October 2000

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

    October 25, 2000 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http:...

  8. Monthly Energy Review - July 2000

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

    July 26, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and...

  9. Monthly Energy Review, October 1997

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

    October 27, 1997 Electronic Access Monthly Energy Review (MER) data are also available through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the...

  10. Monthly Energy Review, September 1998

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

    September 25, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of...

  11. Monthly Energy Review, November 1997

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

    November 24, 1997 Electronic Access Monthly Energy Review (MER) data are also available through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the...

  12. Monthly Energy Review - November 1999

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

    November 23, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1),...

  13. Natural gas monthly, May 1994

    SciTech Connect (OSTI)

    Not Available

    1994-05-25

    The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The featured articles for this month are: Opportunities with fuel cells, and revisions to monthly natural gas data.

  14. 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. Eastern Power Grid Texas Power Grid Western Power Grid 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

  15. 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 U.S. Eastern Power Grid Texas Power Grid Western Power Grid Year ECAR FRCC MAAC MAIN MAPP/MRO (U.S.) NPCC (U.S.) SERC SPP ERCOT WECC (U.S.) 1990/1991 484,231 67,097 30,800 36,551 32,461 21,113 40,545 86,648 38,949 35,815 94,252 1991/1992 485,761 71,181 31,153 37,983 33,420 21,432 41,866 88,422 38,759 35,448 86,097

  16. 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)

  17. 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.

  18. 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.

  19. First Tracer Test After Circulation in Desert Peak 27-15

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

    Rose, Peter

    Following the successful stimulation of Desert Peak target EGS well 27-15, a circulation test was initiated by injecting a conservative tracer (1,5-nds) in combination with a reactive tracer (7-amino-1,3-naphthalene disulfonate). The closest production well 74-21 was monitored over the subsequent several months.

  20. First Tracer Test After Circulation in Desert Peak 27-15

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

    Rose, Peter

    2013-11-16

    Following the successful stimulation of Desert Peak target EGS well 27-15, a circulation test was initiated by injecting a conservative tracer (1,5-nds) in combination with a reactive tracer (7-amino-1,3-naphthalene disulfonate). The closest production well 74-21 was monitored over the subsequent several months.

  1. Monthly energy review: April 1996

    SciTech Connect (OSTI)

    1996-04-01

    This monthly report presents an overview of energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. A section is also included on international energy. The feature paper which is included each month is entitled ``Energy equipment choices: Fuel costs and other determinants.`` 37 figs., 59 tabs.

  2. Monthly Energy Review, February 1996

    SciTech Connect (OSTI)

    1996-02-26

    This monthly publication presents an overview of EIA`s recent monthly energy statistics, covering the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief descriptions (`energy plugs`) on two EIA publications are presented at the start.

  3. Monthly energy review, July 1998

    SciTech Connect (OSTI)

    1998-07-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs. 73 tabs.

  4. Monthly energy review, March 1999

    SciTech Connect (OSTI)

    1999-03-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 74 tabs.

  5. Monthly energy review, October 1998

    SciTech Connect (OSTI)

    1998-10-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

  6. Monthly energy review, February 1999

    SciTech Connect (OSTI)

    1999-02-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 73 tabs.

  7. Monthly energy review, January 1999

    SciTech Connect (OSTI)

    1999-01-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

  8. Monthly energy review, May 1999

    SciTech Connect (OSTI)

    1999-05-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

  9. Monthly energy review, November 1998

    SciTech Connect (OSTI)

    1998-11-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

  10. Monthly energy review, November 1997

    SciTech Connect (OSTI)

    1997-11-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 91 tabs.

  11. Monthly energy review, June 1998

    SciTech Connect (OSTI)

    1998-06-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 36 figs., 61 tabs.

  12. Monthly energy review, November 1996

    SciTech Connect (OSTI)

    1996-11-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 75 tabs.

  13. Monthly Energy Review - July 2001

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

    E n e r g y P l u g : C o a l I n d u s t r y A n n u a l July 2001 Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  14. Monthly Energy Review - December 2001

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

    i o n R e s o u r c e s M i d - T e r m N a t u r a l G a s P r o s p e c t s Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  15. Monthly Energy Review - May 2002

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

    e k l y G a s S t o r a g e I n t e r n a t i o n a l E n e r g y A n n u a l Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  16. Monthly Energy Review - June 2002

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

    i o n s b y I n d u s t r y U r a n i u m I n d u s t r y A n n u a l 2 0 0 1 Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  17. Monthly Energy Review - May 2001

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

    n e r g y D a t a U l t r a - L o w - S u l f u r D i e s e l F u e l May 2001 Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  18. Monthly Energy Review - January 2002

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

    2 E n e r g y P l u g : P e r f o r m a n c e P r o f i l e s 2 0 0 0 Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  19. Monthly Energy Review - September 2001

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

    1 E n e r g y P l u g : E l e c t r i c P o w e r A n n u a l 2 0 0 0 Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  20. Monthly Energy Review - February 2002

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

    2 E n e r g y P l u g : G r e e n h o u s e G a s e s 2 0 0 0 Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's...

  1. Monthly Energy Review - August 2001

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

    e r g y R e v i e w 2 0 0 0 W o r l d E n e r g y " A r e a s t o W a t c h " Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  2. Monthly Energy Review - April 2002

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

    s o l i n e O u t l o o k I n t e r n a t i o n a l E n e r g y O u t l o o k Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  3. Monthly Energy Review - July 2002

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

    i o m a s s f o r E l e c t r i c i t y M e a s u r i n g E f f i c i e n c y Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  4. Monthly Energy Review - October 2001

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

    l O i l a n d K e r o s e n e M a j o r s ' S h i f t t o N a t u r a l G a s Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  5. Monthly Energy Review - August 2002

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

    F o r e i g n D i r e c t I n v e s t m e n t N a t u r a l G a s P r i c e s Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  6. Monthly Energy Review - October 2002

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

    2 E n e r g y P l u g : W i n t e r F u e l s O u t l o o k Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's...

  7. Monthly Energy Review - March 2002

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

    2 E n e r g y P l u g : L i g h t T r u c k C A F E S t a n d a r d s Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  8. Monthly Energy Review - September 2002

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

    2 E n e r g y P l u g : D i e s e l F u e l P r i c e P a s s - t h r o u g h Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  9. Monthly

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

    generated for distribution from wood, waste, geothermal, wind, photovoltaic, and solar thermal energy. SIncludes supplemental gaseous fuels. Other" is hydroelectric and...

  10. 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.

  11. 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 electricity delivery infrastructure to assure consumers a robust, reliable electric power system that meets their increasing demand for energy. OE's mission includes assisting states and regions in developing policies that decrease demand on existing energy infrastructure. Appropriate cost-effective demand response

  12. Natural gas monthly, January 1994

    SciTech Connect (OSTI)

    Not Available

    1994-02-01

    The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The featured article for this month is on US coalbed methane production.

  13. Natural gas monthly, May 1997

    SciTech Connect (OSTI)

    1997-05-01

    The Natural Gas Monthly highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The feature article this month is ``Restructuring energy industries: Lessons from natural gas.`` 6 figs., 26 tabs.

  14. Natural gas monthly, December 1997

    SciTech Connect (OSTI)

    1997-12-01

    The Natural Gas Monthly highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The article this month is entitled ``Recent Trends in Natural Gas Spot Prices.`` 6 figs., 27 tabs.

  15. Natural gas monthly, November 1996

    SciTech Connect (OSTI)

    1996-11-01

    The report highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the Natural Gas Monthly features articles designed to assist readers in using and interpreting natural gas information. The feature article this month is ``US natural gas imports and exports-1995``. 6 figs., 24 tabs.

  16. Fact #769: March 4, 2013 Monthly Trend in Light Vehicle Sales, 2008-2012

    Broader source: Energy.gov [DOE]

    Over the last five years, there have been peaks in light vehicle sales in the months of March, May, and December. There are two notable exceptions: in 2009, the Cash for Clunkers program caused a...

  17. 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.

  18. 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.

  19. Masked Areas in Shear Peak Statistics: A Forward Modeling Approach...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Masked Areas in Shear Peak Statistics: A Forward Modeling Approach Citation Details In-Document Search Title: Masked Areas in Shear Peak Statistics: A Forward ...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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,...

  8. 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...

  9. 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...

  10. 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...

  11. Cosmology constraints from shear peak statistics in Dark Energy...

    Office of Scientific and Technical Information (OSTI)

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