National Library of Energy BETA

Sample records for monthly peak demand

  1. ,"Table 3A.1. January Monthly Peak Hour Demand, by North American...

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

    A.1. January Monthly Peak Hour Demand, by North American Electric Reliability Corporation ... February Monthly Peak Hour Demand, by North American Electric Reliability Corporation ...

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

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

    B.1. FRCC Monthly Peak Hour Demand, by North American Electric Reliability Corporation ... 3B.2. NPCC Monthly Peak Hour Demand, by North American Electric Reliability Corporation ...

  3. 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

  4. 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

  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...

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

    ... Form EIA-411, ""Coordinated Bulk Power Supply and Demand Program Report.""" " ","Form EIA-411 for 2008" ,"Released: February 2010" ,"Next Update: October 2010" ,"Table 3d. ...

  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

    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"

  8. ,"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"

  9. 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...

  10. 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

  11. 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

  12. 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...

  13. February most likely month for flu season to peak

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

    February most likely month for flu season to peak February most likely month for flu season to peak The Los Alamos team's model is an ongoing research project that forecasts the current flu season probabilistically, similar to best-practice forecasts of weather, presidential elections, and sporting events. December 20, 2015 The Los Alamos team's model is an ongoing research project that forecasts the current flu season probabilistically, similar to best-practice forecasts of weather,

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

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

    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

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

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

    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 ...

  16. 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.

  17. 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.

  18. 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.

  19. 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"...

  20. 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...

  1. 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"...

  2. 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"...

  3. 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"...

  4. 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"...

  5. 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"...

  6. 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"...

  7. 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"...

  8. 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"...

  9. 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...

  10. 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...

  11. 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.

  12. 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.

  13. 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

  14. 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.

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

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

    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

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

    Broader source: Energy.gov [DOE]

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

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

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

    which oversees electric reliability. * NERC Regional names may be found on the EIA web page for electric reliability. " ," * Regional name and function has changed from ...

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

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

    ... Administration, Form EIA-411, ""Coordinated Bulk Power Supply Program Report.""" ,"Form EIA-411 for 2005" ,"Released: September 26, 2007" ,"Next Update: October 2007" ,"Table 3d. ...

  19. 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.

  20. 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.

  1. Cost-effective retrofit technology for reducing peak power demand in small and medium commercial buildings

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Nutaro, James J.; Fugate, David L.; Kuruganti, Teja; Sanyal, Jibonananda; Starke, Michael R.

    2015-05-27

    We describe a cost-effective retrofit technology that uses collective control of multiple rooftop air conditioning units to reduce the peak power consumption of small and medium commercial buildings. The proposed control uses a model of the building and air conditioning units to select an operating schedule for the air conditioning units that maintains a temperature set point subject to a constraint on the number of units that may operate simultaneously. A prototype of this new control system was built and deployed in a large gymnasium to coordinate four rooftop air conditioning units. Based on data collected while operating this prototype,more » we estimate that the cost savings achieved by reducing peak power consumption is sufficient to repay the cost of the prototype within a year.« less

  2. Cost-effective retrofit technology for reducing peak power demand in small and medium commercial buildings

    SciTech Connect (OSTI)

    Nutaro, James J.; Fugate, David L.; Kuruganti, Teja; Sanyal, Jibonananda; Starke, Michael R.

    2015-05-27

    We describe a cost-effective retrofit technology that uses collective control of multiple rooftop air conditioning units to reduce the peak power consumption of small and medium commercial buildings. The proposed control uses a model of the building and air conditioning units to select an operating schedule for the air conditioning units that maintains a temperature set point subject to a constraint on the number of units that may operate simultaneously. A prototype of this new control system was built and deployed in a large gymnasium to coordinate four rooftop air conditioning units. Based on data collected while operating this prototype, we estimate that the cost savings achieved by reducing peak power consumption is sufficient to repay the cost of the prototype within a year.

  3. Electricity Monthly Update

    Gasoline and Diesel Fuel Update (EIA)

    Regional Wholesale Markets: June 2016 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the Nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England

  4. 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

  5. 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.

  6. 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

  7. monthly_peak_2004.xls

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

    83,670 37,521 42,442 39,238 22,995 45,227 132,964 26,415 39,075 95,673 2001 573,509 ... 80,476 34,073 38,812 38,157 21,241 41,544 132,318 28,191 43,837 93,195 2003 551,505 ...

  8. 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...

  9. China's coal market: is peak demand insight?

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

    a slight recovery by 2020. * Coal-fired generation will continue to be squeezed by non-fossil generation resources. * Renewable, nuclear, and gas plant additions will remain ...

  10. monthly_peak_1996_2004.xls

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

    Regional Council names may be found on the web site page and in the form and instructions. ... Regional Council names may be found on the Web Site page and in the form and instructions. ...

  11. 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....

  12. 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),...

  13. 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...

  14. 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...

  15. 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...

  16. Demand Response | Department of Energy

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

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

  17. 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...

  18. 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...

  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. 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 ...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. Demand Response

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

    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 ...

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

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

    1 Demand Response Performance and Communication Strategy: AHRI and CEE DOE Building Technologies Office Conference NREL, Golden, Colorado, May 1, 2014 | 2 A Growing Crisis: Peak ...

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

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

    Builder Business Case: CaliforniaFlorida Production Builders - Building America Top Innovation Building America Top Innovations 2013 Profile - Zero Energy-Ready Single-Family ...

  8. 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

  9. 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.

  10. 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.

  11. 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.

  12. Electricity Monthly Update - Energy Information Administration

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

    Overview Data Electricity Data Browser (interactive query tool with charting & mapping) Summary Sales (consumption), ... demand levels that occurred towards the end of the month. ...

  13. How much will low prices stimulate oil demand?

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

    ... Information Administration, Petroleum Supply Monthly and Petroleum Marketing Monthly (as of September 2015) Oil & Money Conference | How Much Will Low Prices Stimulate Oil Demand? ...

  14. Storm Peak Lab Cloud Property Validation

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

    Peak Lab Cloud Property Validation Experiment (STORMVEX) Operated by the Atmospheric Radiation Measurement (ARM) Climate Research Facility for the U.S. Department of Energy, the second ARM Mobile Facility (AMF2) begins its inaugural deployment November 2010 in Steamboat Springs, Colorado, for the Storm Peak Lab Cloud Property Validation Experiment, or STORMVEX. For six months, the comprehensive suite of AMF2 instruments will obtain measurements of cloud and aerosol properties at various sites

  15. 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...

  16. 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.

  17. 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.

  18. 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.

  19. Promising Technology: Demand Control Ventilation

    Broader source: Energy.gov [DOE]

    Demand control ventilation (DCV) measures carbon dioxide concentrations in return air or other strategies to measure occupancy, and accurately matches the ventilation requirement. This system reduces ventilation when spaces are vacant or at lower than peak occupancy. When ventilation is reduced, energy savings are accrued because it is not necessary to heat, cool, or dehumidify as much outside air.

  20. 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

  1. 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)

  2. 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.

  3. 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.

  4. 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

  5. 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

  6. 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,...

  7. 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

  8. 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...

  9. Monthly Performance Report

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

    A-1 TERMS MSC Monthly Performance Report MAY 2012 DOE... emergency scenario, search and rescue techniques, a ... Six Month Forecast By Month Enter Specified Periods ...

  10. 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.

  11. Monthly Project Bulletin: July 2012

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

    July 2012 This bulletin is your monthly source for project updates on the U.S. Department of Energy (DOE) Guidelines for Home Energy Professionals project. This issue covers:  Pilot Certification: Registration Still Open  On-Demand Pilot Certification Orientation Webinars  Update on Voluntary Standard Work Specifications for Single-Family Energy Upgrades  Upcoming Conferences and Events  Project Testimonial  About the Project Pilot Certification: Registration Still Open

  12. Monthly Project Bulletin: October 2012

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

    October 2012 This bulletin is your monthly source for project updates on the U.S. Department of Energy (DOE) Guidelines for Home Energy Professionals project. This issue covers: * New Deadlines Announced for Pilot Certification * Video View of the Weatherization Assistance Program * Project Testimonial * Upcoming Conferences and Events * About the Project New Deadlines Announced for Pilot Certification Due to strong demand for the Energy Auditor and Quality Control (QC) Inspector certification

  13. Retail Demand Response in Southwest Power Pool

    SciTech Connect (OSTI)

    Bharvirkar, Ranjit; Heffner, Grayson; Goldman, Charles

    2009-01-30

    among SPP members. For these entities, investment in DR is often driven by the need to reduce summer peak demand that is used to set demand charges for each distribution cooperative. o About 65-70percent of the interruptible/curtailable tariffs and DLC programs are routinely triggered based on market conditions, not just for system emergencies. Approximately, 53percent of the DR resources are available with less than two hours advance notice and 447 MW can be dispatched with less than thirty minutes notice. o Most legacy DR programs offered a reservation payment ($/kW) for participation; incentive payment levels ranged from $0.40 to $8.30/kW-month for interruptible rate tariffs and $0.30 to $4.60/kW-month for DLC programs. A few interruptible programs offered incentive payments which were explicitly linkedto actual load reductions during events; payments ranged from 2 to 40 cents/kWh for load curtailed.

  14. 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

  15. Demand Response | Department of Energy

    Energy Savers [EERE]

    Technology Development Smart Grid Demand Response Demand Response Demand Response Demand response provides an opportunity for consumers to play a significant role in the ...

  16. 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...

  17. 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.

  18. 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

  19. 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...

  20. 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...

  1. 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...

  2. 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

  3. 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.

  4. 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.

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

    SciTech Connect (OSTI)

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

    2012-06-01

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

  6. 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.

  7. Stochastic acceleration in peaked spectrum

    SciTech Connect (OSTI)

    Zasenko, V.; Zagorodny, A.; Weiland, J.

    2005-06-15

    Diffusion in velocity space of test particles undergoing external random electric fields with spectra varying from low intensive and broad to high intensive and narrow (peaked) is considered. It is shown that to achieve consistency between simulation and prediction of the microscopic model, which is reduced to Fokker-Planck-type equation, it is necessary, in the case of peaked spectrum, to account for temporal variation of diffusion coefficient occurring in the early stage. An analytical approximation for the solution of the Fokker-Planck equation with a time and velocity dependent diffusion coefficients is proposed.

  8. 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

  9. 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

  10. 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.)

  11. 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.

  12. 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.

  13. 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...

  14. 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.

  15. Petroleum Marketing Monthly

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

    Year month Motor gasoline Avia on gasoline Kerosene type jet fuel Propane (consumer grade) ... Year month Motor gasoline Avia on gasoline Kerosene type jet fuel Propane (consumer grade) ...

  16. STEO December 2012 - coal demand

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

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

  17. Petroleum Marketing Monthly

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

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

  18. Demand Dispatch-Intelligent

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

    ... Contract: DE-FE0004001 Demand Dispatch- ... ISO Independent System Operators LMP Locational Marginal Price MW Mega-watt MWh ... today My generator may come on and off ...

  19. 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...

  20. 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...

  1. 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.

  2. 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

  3. 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.

  4. Texas Nuclear Profile - Comanche Peak

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

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

  5. Gasoline prices peak, expected to fall through end of 2016

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

    Gasoline prices peak, expected to fall through end of 2016 It's all downhill for U.S. drivers at least far as the outlook for gasoline prices is concerned. Gasoline prices are expected to gradually fall through the end of this year. In its new monthly forecast, the U.S. Energy Information Administration said the retail price for regular-grade gasoline averaged $2.37 per gallon in June. That's down 43 cents from the same month last year. The average monthly pump price is expected to drop to $2.01

  6. 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.

  7. 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.

  8. 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.

  9. 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...

  10. 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 EM Disposal Facility from the Oak Ridge Office of Environmental Managment.

  11. 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...

  12. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The Oak Ridge Site Specific Advisory Board's monthly board Meeting is open to the public. This month, DOE will discuss its Vision 2020. The presentation and conversation will focus on planning for...

  13. 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 ...

  14. 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...

  15. Monthly Performance Report

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

    Preliminary Monthly Electric Generator Inventory (based on Form EIA-860M as a supplement to Form EIA-860) Release Date: August 24, 2016 Next Release Date: September 2016 The monthly survey Form EIA-860M, ‘Monthly Update to Annual Electric Generator Report’ supplements the annual survey form EIA-860 data with monthly information that monitors the current status of existing and proposed generating units at electric power plants with 1 megawatt or greater of combined nameplate capacity. EIA

  16. 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

  17. Monthly Newsblast December 2012

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  18. 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.

  19. 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...

  20. 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...

  1. Demand Response- Policy

    Broader source: Energy.gov [DOE]

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

  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. 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.

  4. 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

  5. Monthly Performance Report

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

    5 Monthly Performance Report June 2013 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JUN 2013 DOE/RL-2009-113 Rev 45 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report JUN 2013 DOE/RL-2009-113 Rev 45 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  6. Monthly Performance Report

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

    5 Monthly Performance Report August 2012 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report AUG 2012 DOE/RL-2009-113 Rev 35 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report AUG 2012 DOE/RL-2009-113 Rev 35 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)

    9 Monthly Performance Report February 2012 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report FEB 2012 DOE/RL-2009-113 Rev 29 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report FEB 2012 DOE/RL-2009-113 Rev 29 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  8. Monthly Performance Report

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

    6 Monthly Performance Report September 2012 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report SEP 2012 DOE/RL-2009-113 Rev 36 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report SEP 2012 DOE/RL-2009-113 Rev 36 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  9. Monthly Performance Report

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

    7 Monthly Performance Report October 2012 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report OCT 2012 DOE/RL-2009-113 Rev 37 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report OCT 2012 DOE/RL-2009-113 Rev 37 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  10. Monthly Performance Report

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

    8 Monthly Performance Report September 2013 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report SEP 2013 DOE/RL-2009-113 Rev 48 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report SEP 2013 DOE/RL-2009-113 Rev 48 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  11. Monthly Performance Report

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

    5 Monthly Performance Report April 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report APR 2014 DOE/RL-2009-113 Rev 55 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report APR 2014 DOE/RL-2009-113 Rev 55 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  12. Monthly Performance Report

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

    9 Monthly Performance Report August 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report AUG 2014 DOE/RL-2009-113 Rev 59 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report AUG 2014 DOE/RL-2009-113 Rev 59 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  13. Monthly Performance Report

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

    1 Monthly Performance Report December 2013 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report DEC 2013 DOE/RL-2009-113 Rev 51 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report DEC 2013 DOE/RL-2009-113 Rev 51 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  14. Monthly Performance Report

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

    3 Monthly Performance Report February 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report FEB 2014 DOE/RL-2009-113 Rev 53 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report FEB 2014 DOE/RL-2009-113 Rev 53 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  15. Monthly Performance Report

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

    2 Monthly Performance Report January 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JAN 2014 DOE/RL-2009-113 Rev 52 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report JAN 2014 DOE/RL-2009-113 Rev 52 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  16. Monthly Performance Report

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

    8 Monthly Performance Report July 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JUL 2014 DOE/RL-2009-113 Rev 58 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report JUL 2014 DOE/RL-2009-113 Rev 58 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  17. Monthly Performance Report

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

    6 Monthly Performance Report May 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report MAY 2014 DOE/RL-2009-113 Rev 56 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report MAY 2014 DOE/RL-2009-113 Rev 56 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  18. Monthly Performance Report

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

    0 Monthly Performance Report November 2013 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report NOV 2013 DOE/RL-2009-113 Rev 50 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report NOV 2013 DOE/RL-2009-113 Rev 50 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  19. Monthly Performance Report

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

    60 Monthly Performance Report September 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report SEP 2014 DOE/RL-2009-113 Rev 60 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report SEP 2014 DOE/RL-2009-113 Rev 60 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  20. Monthly Performance Report

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

    3 Monthly Performance Report December 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report DEC 2014 DOE/RL-2009-113 Rev 63 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report DEC 2014 DOE/RL-2009-113 Rev 63 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  1. Monthly Performance Report

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

    4 Monthly Performance Report January 2015 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JAN 2015 DOE/RL-2009-113 Rev 64 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report JAN 2015 DOE/RL-2009-113 Rev 64 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  2. Monthly Performance Report

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

    9 Monthly Performance Report June 2015 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JUN 2015 DOE/RL-2009-113 Rev 69 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report JUN 2015 DOE/RL-2009-113 Rev 69 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  3. Monthly Performance Report

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

    8 Monthly Performance Report May 2015 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report MAY 2015 DOE/RL-2009-113 Rev 68 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report MAY 2015 DOE/RL-2009-113 Rev 68 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  4. Monthly Performance Report

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

    2 Monthly Performance Report November 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report NOV 2014 DOE/RL-2009-113 Rev 62 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report NOV 2014 DOE/RL-2009-113 Rev 62 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  5. Monthly Performance Report

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

    9 Monthly Performance Report April 2016 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report APR 2016 DOE/RL-2009-113 Rev 79 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report APR 2016 DOE/RL-2009-113 Rev 79 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  6. Monthly Performance Report

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

    7 Monthly Performance Report February 2016 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report FEB 2016 DOE/RL-2009-113 Rev 77 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report FEB 2016 DOE/RL-2009-113 Rev 77 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. Monthly Performance Report

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

    81 Monthly Performance Report June 2016 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JUN 2016 DOE/RL-2009-113 Rev 81 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report JUN 2016 DOE/RL-2009-113 Rev 81 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  9. Monthly Performance Report

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

    8 Monthly Performance Report March 2016 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report MAR 2016 DOE/RL-2009-113 Rev 78 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report MAR 2016 DOE/RL-2009-113 Rev 78 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  10. Monthly Performance Report

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

    0 Monthly Performance Report May 2016 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report MAY 2016 DOE/RL-2009-113 Rev 80 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report MAY 2016 DOE/RL-2009-113 Rev 80 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  11. Monthly Performance Report

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

    3 Monthly Performance Report October 2015 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report OCT 2015 DOE/RL-2009-113 Rev 73 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report OCT 2015 DOE/RL-2009-113 Rev 73 iii CONTENTS EXECUTIVE 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)

    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

  13. MSC Monthly Performance Report

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

    3 Monthly Performance 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/RL-2009-113 REV 3 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report December 2009 DOE/RL-2009-113 REV 3 iii CONTENTS OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  14. MSC Monthly Performance Report

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

    4 Monthly Performance 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/RL-2009-113 REV 4 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report January 2010 DOE/RL-2009-113 REV 4 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)

    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

  16. 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

  17. 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

  18. 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

  19. Electricity Monthly Update

    Gasoline and Diesel Fuel Update (EIA)

    Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy

  20. Centralized and Decentralized Control for Demand Response

    SciTech Connect (OSTI)

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

    2011-04-29

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

  1. 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,...

  2. 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:...

  3. 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.

  4. 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,...

  5. 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...

  6. 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....

  7. 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.

  8. 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.

  9. 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 ...

  10. 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...

  11. 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...

  12. 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 September 2016

  13. 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 September 2016

  14. 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 September 20

  15. Petroleum Marketing Monthly

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

    Year month Alaska North Slope California Kern River California Midway-Sunset Heavy Louisiana Sweet Louisiana Light Sweet Mars Blend West Texas Intermediate West Texas Sour Wyoming ...

  16. 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 ...

  17. Monthly Performance Report

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

    5 Monthly Performance Report February 2015 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 This page intentionally left blank. MSC Monthly Performance Report FEB 2015 DOE/RL-2009-113 Rev 65 ii CONTENTS CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  18. Monthly Performance Report

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

    6 Monthly Performance Report March 2015 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 This page intentionally left blank. MSC Monthly Performance Report MAR 2015 DOE/RL-2009-113 Rev 66 ii CONTENTS CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  19. Monthly Performance Report

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

    1 Monthly Performance Report October 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 This page intentionally left blank. MSC Monthly Performance Report OCT 2014 DOE/RL-2009-113 Rev 61 ii CONTENTS CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  20. 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

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

    National Nuclear Security Administration (NNSA)

    | (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

  2. 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...

  3. 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...

  4. 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.

  5. 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)

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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 ...

  13. 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%...

  14. 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...

  15. Monthly Performance Report

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

    ......... EST-I SITE INFRASTRUCTURE & UTILITIES ... SIU EST FO 3 Month Project Rates TRC 0.00 1.00 2.00 3.00 4.00 Sep-09 Oct-09 Nov-09 Dec-09 ...

  16. 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.

  17. 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.

  18. 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 ...

  19. Petroleum Marketing Monthly

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

    and propane (consumer grade) by PAD District and state thousand gallons per day Geographic area month Avia on gasoline Kerosene-type jet fuel Kerosene No. 1 dis llate Propane ...

  20. 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...

  1. 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.

  2. Women's History Month | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Women's History Month

  3. 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.

  4. 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

  5. Monthly Biodiesel Production Report

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

    Monthly Biodiesel Production Report With data for June 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 August 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

  6. travel-demand-modeling

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

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

  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

  8. 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.

  9. Petroleum Supply Monthly

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

    Supply Monthly with data for June 2016 August 2016 www.eia.gov U.S. Department of Energy Washington, DC 20585 Energy Information Administration/Petroleum Supply Monthly, ii June 2016 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 employee of the United States Government. The views in this report

  10. 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.

  11. 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.

  12. National Cybersecurity Awareness Month

    Office of Energy Efficiency and Renewable Energy (EERE)

    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.

  13. 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.

  14. 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.

  15. 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...

  16. 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

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. Petroleum Marketing Monthly

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

    U.S. Refi ner residual fuel oil prices and volumes Source: U.S. Energy Information Administration, Form EIA-782A, "Refi ners'/Gas Plant Operators' Monthly Petroleum Product Sales Report." Source: U.S. Energy Information Administration, Form EIA-782A, "Refi ners'/Gas Plant Operators' Monthly Petroleum Product Sales Re Re Re Re Re R Re R Re e Re Re Re Re Re Re Re Re R R Re R Re e Re Re Re Re R Re R R R R Re R R Re Re R Re R Re e e R R R Re e e ep po po po po p po p po po o po o p

  3. Petroleum Supply 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 1996 average 18.46 19.32 20.31 20.77 20.64 20.71 1997 average 17.23 16.94 18.11 19.61 18.53 19.04 1998 average 10.87 10.76 11.84 13.18 12.04 12.52 1999 average 15.56 16.47 17.23

  4. Monthly Report 2015

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

    6 Monthly Report for the Reporting Period ending December 31, 2015 as required by NMED Administrative Orders dated February 27, 2014 and May 12, 2014, as Amended by NMED Directives dated August 29, 2014, December 9, 2014, and July 15, 2015 Waste Isolation Pilot Plant Hazardous Waste Facility Permit Number: NM4890139088-TSDF Todd Shrader/CBFO and Philip J. Breidenbach/NWP dated January 29, 2016

  5. Electric Power Monthly

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

    2015 U.S. Energy Information Administration | Electric Power Monthly Appendix C Technical notes This appendix describes how the U. S. Energy Information Administration (EIA) collects, estimates, and reports electric power data in the EPM. Data quality The EPM is prepared by the Office of Electricity, Renewables & Uranium Statistics (ERUS), Energy Information Administration (EIA), U. S. Department of Energy. Quality statistics begin with the collection of the correct data. To assure this,

  6. Petroleum Supply Monthly

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

    Marketing Monthly September 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

  7. Petroleum Supply Monthly

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

    8 June 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

  8. 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. Energy Information Administration (EIA), U.S. Department of Energy. Editorial Lead: Chris Cassar (christopher.cassar@eia.gov) Senior Adviser: Bill Booth Core Team: Paul McCardle, Glenn McGrath, Stephen Scott, Tim Shear, April Lee

  9. U. S. monthly coal production

    Gasoline and Diesel Fuel Update (EIA)

    Confidential Presentation to: April 7, 2008 Middle East oil demand and Lehman Brothers oil price outlook Adam Robinson Middle East oil demand u Three pillars of Middle East oil demand - Petrodollar reinvestment - Purchasing power rise - Power sector constraints u Natural gas shortages for power generation mean balance of risks to any Middle East oil demand forecast are firmly to the upside, adding to summer upside seasonality u Lehman Brothers has pegged 3Q08 as the tightest quarter of the

  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