National Library of Energy BETA

Sample records for megawatthour gigawatt hours

  1. Property:PotentialBiopowerGaseousGeneration | Open Energy Information

    Open Energy Info (EERE)

    Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialBiopowerGaseousGeneration" Showing 25...

  2. Sales to Ultimate Customers (Megawatthours) by State by Sector by Provider, 1990

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

    Sales to Ultimate Customers (Megawatthours) by State by Sector by Provider, 1990-2014" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2014,"AK","Total Electric Industry",2043614,2761518,1359680,0,"NA",6164812 2014,"AL","Total Electric

  3. Gigawatts of Geothermal: JASON Study Highlights Huge Potential for EGS |

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

    Department of Energy Gigawatts of Geothermal: JASON Study Highlights Huge Potential for EGS Gigawatts of Geothermal: JASON Study Highlights Huge Potential for EGS February 21, 2014 - 3:46pm Addthis JASON study members take in the landscape at Sugarloaf, an 86,000-year-old rhyolite dome in eastern California, and among the youngest dated volcanoes in the field. Andy Sabin (right), director of the Navy Geothermal Program Office, led the field trip to the Coso geothermal field, where the Navy

  4. On a QUEST to Save Oakland 8.4 Gigawatt Hours

    Broader source: Energy.gov [DOE]

    Local businessman works to make Oakland's downtown one of the greenest, making buildings as highly energy efficient as possible along the way.

  5. Study Finds 54 Gigawatts of Offshore Wind Capacity Technically Possible by 2030

    Broader source: Energy.gov [DOE]

    DOE recently funded a study that finds the deployment of at least 54 gigawatts of offshore wind power to be technically possible by 2030. The National Offshore Wind Energy Grid Interconnection Study (NOWEGIS), which focused on two DOE objectives in reducing barriers to deployment of offshore wind, cost of energy and timeline of deployment.

  6. Museum Hours

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

    Museum Hours Museum Hours The Museum is open to the public every day except Thanksgiving, Christmas, and New Year's. Contact Us thumbnail of Bradbury Science Museum 505 667-4444 Email Hours Open every day except Thanksgiving, Christmas, and New Year's. Tuesday-Saturday: 10 am-5 pm Sunday & Monday: 1-5 pm FREE ADMISSION Download our brochure for more information (pdf) Weather conditions Call ahead during snow storms: (505) 667-6622 or (877) 723-4101. We follow Los Alamos National Laboratory's

  7. Lidar sensing of the atmosphere with gigawatt laser pulses of femtosecond duration

    SciTech Connect (OSTI)

    Bukin, O A; Golik, S S; Il'in, A A; Kulchin, Yu N; Lisitsa, V V; Shmirko, K A; Babii, M Yu; Kolesnikov, A V; Kabanov, A M; Matvienko, G G; Oshlakov, V K

    2014-06-30

    We present the results of sensing of the atmosphere in the condition of a transition 'continent – ocean' zone by means of gigawatt femtosecond pulses of the fundamental and second harmonics of a Ti : sapphire laser. In the regime of multi-frequency sensing (supercontinuum from the fundamental harmonic) the emission lines of the first positive system of the nitrogen molecule B{sup 3}Π{sub g} – A{sup 3}Σ{sub u}{sup +} have been recorded, while the sensing using of the second harmonic have revealed the possibility of detecting the lines of Raman scattering of nitrogen (λ = 441 nm). The intensity ratio of the line of Raman scattering of nitrogen and the line of elastic scattering at the wavelength of λ = 400 nm amounts to 5.6 × 10{sup -4}. (extreme light fields and their applications)

  8. 2014 Total Electric Industry- Sales (Megawatthours

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

    and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",47211525,53107038,19107433,557463,119983459 "Connecticut",12777579,12893531,3...

  9. Ombuds Office Location & Hours

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

    Ombuds Office Location & Hours Ombuds Office Location & Hours Committed to the fair and equitable treatment of all employees, contractors, and persons doing business with the...

  10. Franklin Hours Used

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

    Franklin Hours Used Franklin Hours Used 2011 Franklin Usage in Hours 2011 Franklin Usage in Hours 2010 2010 Franklin Usage in Hours 2009 2009 Franklin Usage in Hours 2007-2008 2008 Franklin Usage in Hours 2008 Franklin Usage in Hours Date Hours Used (in thousands) Percentage of Maximum Possible (24 hours/day) 04/28/2012 0.00 0.00 04/27/2012 272.62 29.40 04/26/2012 692.81 74.71 04/25/2012 841.60 90.75 04/24/2012 53.86 5.81 04/23/2012 432.01 46.59 04/22/2012 823.23 88.77 04/21/2012 473.95 51.11

  11. Contacts / Hours - Hanford Site

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

    Contacts / Hours Hanford Meteorological Station Real Time Met Data from Around the Site Current and Past 48 Hours HMS Observations Daily HMS Extremes in Met Data Met and Climate Data Summary Products Contacts / Hours Current NWS Forecast for the Tri-Cities NWS Windchill Chart Contacts / Hours Email Email Page | Print Print Page |Text Increase Font Size Decrease Font Size Note: Using the telephone is the ONLY way to get up to the minute information. On duty Forecaster (509) 373-2716 Current

  12. Proposal of a gigawatt-class L/Ku dual-band magnetically insulated transmission line oscillator

    SciTech Connect (OSTI)

    Ju, J.-C. Fan, Y.-W.; Shu, T.; Zhong, H.-H.

    2014-10-15

    We present a gigawatt (GW)-class magnetically insulated transmission line oscillator (MILO) which is capable of generating dual-band high power microwaves (HPMs). The proposed device, deriving from previously studied complex MILO and dual-frequency MILO, is designed to produce two HPMs in L-band and Ku-band, respectively. It is found in particle-in-cell (PIC) simulation that when the diode voltage is 610?kV, HPMs with frequencies of 1.72 GHz and 14.6?GHz can be achieved with powers of 3.3?GW and 2.4?GW, respectively. The corresponding total power conversion efficiency is approximately 12.8%. Power difference of the two generated HPMs is approximately 1.4?dB, and frequency difference of them reaches a level as high as ?10?dB.

  13. Allocation of Flight Hours

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

    Allocation of Flight Hours for G-1 Pattern Number Name/Description Hours per flight Number of Flights Total # of Hours Fraction of Allotment (60hrs) Likely Start Time Weather Conditions 1 Stack Pattern 1 (Instrument testing) 3.5 1 3.5 6% 10:00-12:00 Shallow clouds, Cu Hu- Cu Me, Ci are okay 2 Stack Pattern 2 Basic OKC Cloudy Air Flight Plan (some in coordination with ER-2) 3.5 5 17.5 30% 10:00-12:00 Shallow clouds, Cu Hu- Cu Me, Ci are okay 3 Stack Pattern 3 Basic OKC Clear Air Flight Plan 3.5 5

  14. Edison Hours Used

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

    Hours Used Edison Hours Used 2015 Edison Usage Chart Edison Usage Chart 2014 Edison Usage Chart Edison Usage Chart 2013 Edison Usage Chart Edison Usage Chart 2015 Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 11/02/2015 3.018 94.0 11/01/2015 2.993 93.2 11/01/2015 3.016 93.9 10/31/2015 2.946 91.7 10/30/2015 2.820 87.8 10/29/2015 3.039 94.6 10/28/2015 3.028 94.3 10/27/2015 2.947 91.8 10/26/2015 2.776 86.4 10/25/2015 2.951 91.9 10/24/2015 2.733 85.1 10/23/2015 3.071 95.6

  15. Carver Hours Used

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

    Carver Hours Used Carver Hours Used Hopper Usage Chart Hopper Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 12/15/2014 161.25 84.75 12/14/2014 162.32 85.31 12/13/2014 165.95 87.22 12/12/2014 172.69 90.76 12/11/2014 174.45 91.69 12/10/2014 170.09 89.39 12/09/2014 166.50 87.50 12/08/2014 169.20 88.92 12/07/2014 167.44 88.00 12/06/2014 172.83 90.83 12/05/2014 176.73 92.89 12/04/2014 174.69 91.81 12/03/2014 178.77 93.96 12/02/2014 172.30 90.55 12/01/2014 176.12

  16. Solar Hot Water Hourly Simulation

    Energy Science and Technology Software Center (OSTI)

    2009-12-31

    The Software consists of a spreadsheet written in Microsoft Excel which provides an hourly simulation of a solar hot water heating system (including solar geometry, solar collector efficiency as a function of temperature, energy balance on storage tank and lifecycle cost analysis).

  17. Edison Phase I Hours Used

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

    Edison Phase I Hours Used Edison Phase I Hours Used Edison Usage Chart Edison Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 06/23/2013 0.226 88.6 06/22/2013 0.239 93.9 06/21/2013 0.248 97.1 06/20/2013 0.240 94.0 06/19/2013 0.233 91.3 06/18/2013 0.245 96.0 06/17/2013 0.251 98.4 06/16/2013 0.243 95.3 06/15/2013 0.245 95.9 06/14/2013 0.246 96.5 06/13/2013 0.240 94.1 06/12/2013 0.128 50.4 06/11/2013 0.215 84.5 06/10/2013 0.225 88.4 06/09/2013 0.228 89.6

  18. Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water...

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

    Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production Hour-by-Hour Cost ... Download the presentation slides from the U.S. Department of Energy Fuel ...

  19. Labor Standards/Wage and Hour Laws

    Broader source: Energy.gov [DOE]

    Labor Standards and Wage/Hour laws establish minimum wage, overtime pay, recordkeeping, and minimum leave requirements:

  20. Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water...

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

    Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production Genevieve Saur (PI), Chris Ainscough (Presenter), Kevin Harrison, Todd Ramsden National ...

  1. Happy Birthday Unmet Hours! | Department of Energy

    Energy Savers [EERE]

    Happy Birthday Unmet Hours! Happy Birthday Unmet Hours! September 3, 2015 - 1:43pm Addthis Unmet Hours is a question-and-answer resource for the building energy modeling community. Unmet Hours is a question-and-answer resource for the building energy modeling community. Amir Roth, Ph.D. Amir Roth, Ph.D. Technology Manager, Building Technologies Office A year ago this week, a star was born. Working with IBPSA-USA, the US chapter of the International Building Performance Simulation Association,

  2. Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water

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

    Electrolysis Production | Department of Energy Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production Download the presentation slides from the U.S. Department of Energy Fuel Cell Technologies Office webinar, "Wind-to-Hydrogen Cost Modeling and Project Findings," held on January 17, 2013. PDF icon Wind-to-Hydrogen Cost Modeling and Project Findings Webinar

  3. Fermilab | Visit Fermilab | Hours, Maps and Directions

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

    Site Access, Hours and Directions Check the Fermilab home page for our latest news and a calendar of events, which also includes days that our main building and exhibits are closed. Hours Fermilab's site is open to the public every day of the week from 8 a.m. to 6 p.m. from November to March and from 8 a.m. to 8 p.m. the rest of the year. A map of Fermilab's public areas is available online. Fermilab visitors are allowed to visit two buildings on their own: Wilson Hall and the Leon Lederman

  4. Hour of Code | Argonne National Laboratory

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

    Learning Experiences School Competitions Teacher Programs Classroom Resources Undergraduates Graduates Faculty Partners News & Events About Us Staff Directory About Us Staff Directory Argonne National Laboratory Educational Programs Developing the Next Generation of Scientists & Engineers Home Learning Center Undergraduates Graduates Faculty Partners News & Events Learning Center Community Outreach Hour of Code Introduce a Girl to Engineering Science Careers in Search of Women

  5. Team Surpasses 1 Million Hours Safety Milestone

    Broader source: Energy.gov [DOE]

    NISKAYUNA, N.Y. – Vigilance and dedication to safety led the EM program’s disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours — over two-and-a-half-years — without injury or illness resulting in time away from work.

  6. Household Energy Consumption Segmentation Using Hourly Data

    SciTech Connect (OSTI)

    Kwac, J; Flora, J; Rajagopal, R

    2014-01-01

    The increasing US deployment of residential advanced metering infrastructure (AMI) has made hourly energy consumption data widely available. Using CA smart meter data, we investigate a household electricity segmentation methodology that uses an encoding system with a pre-processed load shape dictionary. Structured approaches using features derived from the encoded data drive five sample program and policy relevant energy lifestyle segmentation strategies. We also ensure that the methodologies developed scale to large data sets.

  7. Green Machine Florida Canyon Hourly Data

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

    Vanderhoff, Alex

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 6/1/13 to 6/30/13

  8. Green Machine Florida Canyon Hourly Data 20130731

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

    Vanderhoff, Alex

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 7/1/13 to 7/31/13.

  9. 20130416_Green Machine Florida Canyon Hourly Data

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

    Vanderhoff, Alex

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 4/16/13.

  10. 20140430_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 April to 30 April 2014.

  11. 20140430_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    2014-05-05

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 April to 30 April 2014.

  12. 20130416_Green Machine Florida Canyon Hourly Data

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

    Vanderhoff, Alex

    2013-04-24

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 4/16/13.

  13. Green Machine Florida Canyon Hourly Data

    SciTech Connect (OSTI)

    Vanderhoff, Alex

    2013-07-15

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 6/1/13 to 6/30/13

  14. Green Machine Florida Canyon Hourly Data 20130731

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

    Vanderhoff, Alex

    2013-08-30

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 7/1/13 to 7/31/13.

  15. Energy Savings Performance Contracting 14-hour Agency Onsite...

    Energy Savers [EERE]

    Energy Savings Performance Contracting 14-hour Agency Onsite Workshop Energy Savings Performance Contracting 14-hour Agency Onsite Workshop January 20, 2016 8:30AM PST to January...

  16. NREL: Education Center - Hours, Directions, and Contact Information

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

    Hours, Directions, and Contact Information An aerial photo of a tan Education Center. NREL's Education Center Credit: NREL 18591 Hours The Education Center is open Monday through...

  17. BioenergizeME Office Hours Webinar: Integrating Bioenergy into...

    Office of Environmental Management (EM)

    Office Hours Webinar: Integrating Bioenergy into the 9th-12th Grade Classroom BioenergizeME Office Hours Webinar: Integrating Bioenergy into the 9th-12th Grade Classroom PDF icon...

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

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

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

  19. 1999 Commercial Buildings Characteristics--Off-Hour Equipment...

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

    such programs (Figure 1). About the same amount of floorspace had either heating system or cooling system off-hour reduction. Off-hour reduction was least for office...

  20. DOE's Office of Science Awards 18 Million Hours of Supercomputing...

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

    DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing DOE's Office of Science Awards 18 Million Hours of...

  1. Current and Past 48 Hours HMS Observations - Hanford Site

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

    Hanford Meteorological Station Current and Past 48 Hours HMS Observations Hanford Meteorological Station Real Time Met Data from Around the Site Current and Past 48 Hours HMS Observations Daily HMS Extremes in Met Data Met and Climate Data Summary Products Contacts / Hours Current NWS Forecast for the Tri-Cities NWS Windchill Chart Current and Past 48 Hours HMS Observations Email Email Page | Print Print Page |Text Increase Font Size Decrease Font Size Date Ceiling (ft) Visibility (miles) Liquid

  2. BioenergizeME Office Hours Webinar: Integrating Bioenergy into the

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

    9th-12th Grade Classroom | Department of Energy Office Hours Webinar: Integrating Bioenergy into the 9th-12th Grade Classroom BioenergizeME Office Hours Webinar: Integrating Bioenergy into the 9th-12th Grade Classroom PDF icon bioenergize_me_ngss_20151210.pdf More Documents & Publications Webinar: BioenergizeME Office Hours Webinar: Biomass Basics Webinar: BioenergizeME Office Hours Webinar: Guide to the 2016 BioenergizeME Infographic Challenge BioenergizeME Infographic Challenge Toolkit

  3. Identifying and Overcoming Critical Barriers to Widespread Second...

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

    ... U.S. Energy Information Administration EPRI Electric Power Research Institute ESS energy storage system EV electric vehicle GW gigawatt GWh gigawatt-hour kW kilowatt kWh ...

  4. Hour of Code sparks interest in computer science

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

    STEM skills Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:Mar. 2016 all issues All Issues » submit Hour of Code sparks interest in computer science Taking the mystery out of programming February 1, 2016 Hour of Code participants work their way through fun computer programming tutorials. Hour of Code participants work their way through fun computer programming tutorials. Contacts Community Programs Director Kathy Keith Email Editor

  5. DOE Awards Over a Billion Supercomputing Hours to Address Scientific

    Energy Savers [EERE]

    Challenges | Department of Energy Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program.

  6. Department of Energy's Paducah Site Reaches Million-Hour Safety...

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

    environmental risk. The LATA Environmental Services of Kentucky Team, the Department's prime cleanup contractor, in October reached a milestone of 1 million hours without a lost...

  7. Delayed Start or Cancellation of Business Hours | Argonne National

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

    Laboratory Delayed Start or Cancellation of Business Hours When start of regular business hours is delayed The laboratory may delay the start of regular business hours because of weather conditions. Personnel who have been explicitly designated as essential by their line management or whose assigned shift starts or ends outside the hours of 6:30 a.m. to 6:30 p.m. should report to work as usual. Employees who do not feel that they can safely drive to the laboratory because of weather or road

  8. Pay and Leave Administration and Hours of Duty

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1996-09-30

    The order establishes policy, requirements and responsibilities for the management of pay, including overtime and compensatory time, leave administration, and hours of duty.

  9. Reformulated Gasoline Use Under the 8-Hour Ozone Rule

    Reports and Publications (EIA)

    2002-01-01

    This paper focuses on the impact on gasoline price and supply when additional ozone non-attainment areas come under the new 8-hour ozone standard.

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Unit of Measure Equivalents Unit Equivalent Kilowatt (kW) 1,000 (One Thousand) Watts Megawatt (MW) 1,000,000 (One Million) Watts Gigawatt (GW) 1,000,000,000 (One Billion) Watts Terawatt (TW) 1,000,000,000,000 (One Trillion) Watts Gigawatt 1,000,000 (One Million) Kilowatts Thousand Gigawatts 1,000,000,000 (One Billion) Kilowatts Kilowatthours (kWh) 1,000 (One Thousand) Watthours Megawatthours (MWh) 1,000,000 (One Million) Watthours Gigawatthours (GWh) 1,000,000,000 (One Billion) Watthours

  11. Gate Hours & Services | Stanford Synchrotron Radiation Lightsource

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

    Gate Hours & Services Sand Hill Road Main Gate Open 24 hours a day, 7 days a week 650-926-2551 Alert URA or User Check-In Coordinator Jackie Kerlegan before traveling to SLAC. SLAC has proximity card readers at the entrances from Sand Hill Road and Alpine Road as well as at Security Gate 17 and Sector 30. If you do not have an ID badge with proximity access issued by Security after October 2014, stop first at the SLAC Security Office Building 235 during office hours which are 7 am-12 noon

  12. Commercial and Residential Hourly Load Data Question | OpenEI...

    Open Energy Info (EERE)

    Commercial and Residential Hourly Load Data Question Home Hi, I saw that you were actively replying to the questions on that page, so thought I'd contact you to ask about the data...

  13. Balancing Authority Cooperation Concepts - Intra-Hour Scheduling

    SciTech Connect (OSTI)

    Hunsaker, Matthew; Samaan, Nader; Milligan, Michael; Guo, Tao; Liu, Guangjuan; Toolson, Jacob

    2013-03-29

    The overall objective of this study was to understand, on an Interconnection-wide basis, the effects intra-hour scheduling compared to hourly scheduling. Moreover, the study sought to understand how the benefits of intra-hour scheduling would change by altering the input assumptions in different scenarios. This report describes results of three separate scenarios with differing key assumptions and comparing the production costs between hourly scheduling and 10-minute scheduling performance. The different scenarios were chosen to provide insight into how the estimated benefits might change by altering input assumptions. Several key assumptions were different in the three scenarios, however most assumptions were similar and/or unchanged among the scenarios.

  14. DOE ZERH Virtual Office Hours (1 of 4)

    Broader source: Energy.gov [DOE]

    TitleZERH Virtual Office Hours: Get the Answers You Need Quickly & EfficientlyDescriptionWhether you’re new to DOE Zero Energy Ready Home or have been involved for a few years, our partners...

  15. DOE ZERH Virtual Office Hours (3 of 4)

    Broader source: Energy.gov [DOE]

    TitleZERH Virtual Office Hours: Get the Answers You Need Quickly & EfficientlyDescriptionWhether you’re new to DOE Zero Energy Ready Home or have been involved for a few years, our partners...

  16. DOE ZERH Virtual Office Hours (4 of 4)

    Broader source: Energy.gov [DOE]

    TitleZERH Virtual Office Hours: Get the Answers You Need Quickly & EfficientlyDescriptionWhether you’re new to DOE Zero Energy Ready Home or have been involved for a few years, our partners...

  17. DOE ZERH Virtual Office Hours (2 of 4)

    Broader source: Energy.gov [DOE]

    TitleZERH Virtual Office Hours: Get the Answers You Need Quickly & EfficientlyDescriptionWhether you’re new to DOE Zero Energy Ready Home or have been involved for a few years, our partners...

  18. Pay and Leave Administration and Hours of Duty

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-01-19

    The order establishes requirements and responsibilities for the management of pay, including overtime pay and compensatory time, leave administration, time and attendance reporting, and hours of duty. Cancels DOE O 322.1B and DOE O 535.1

  19. Pay and Leave Administration and Hours of Duty

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2005-01-14

    This Order establishes requirements and responsibilities for the management of pay, including overtime and compensatory time, leave administration, and hours of duty. Cancels DOE O 322.1A. Canceled by DOE O 322.1C.

  20. Oak Ridge: Approaching 4 Million Safe Work Hours

    Broader source: Energy.gov [DOE]

    Workers at URS | CH2M Oak Ridge (UCOR), the prime contractor for EM’s Oak Ridge cleanup, are approaching a milestone of 4 million safe work hours without a lost time away incident.

  1. Intra-Hour Dispatch and Automatic Generator Control Demonstration...

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

    INNOVATIONS OUTCOMES Journal Publications H.T.C. Pedro and C.F.M. Coimbra (2015) "Nearest-Neighbor Methodology for Prediction of Intra-Hour Global Horizontal and Direct Normal ...

  2. Ames Laboratory Scientists Receive Hours through DOE's INCITE Program | The

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

    Ames Laboratory Ames Laboratory Scientists Receive Hours through DOE's INCITE Program Scientist Mark Gordon was awarded 200 million processor hours through the INCITE program to work on a research project utilizing Argonne National Laboratory's supercomputer. Gordon and his co-investigators will study the behaviors of liquids and their solutes specifically water and ionic liquids. For more information about the team's work with INCITE visit Argonne Leadership Computing Facility

  3. Jefferson Lab Groups Encourage Digital Literacy Through Worldwide 'Hour

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

    of Code' Campaign | Jefferson Lab Groups Encourage Digital Literacy Through Worldwide 'Hour of Code' Campaign Jefferson Lab Groups Encourage Digital Literacy Through Worldwide 'Hour of Code' Campaign Dana Cochran, Jefferson Lab staff member, helps students as they participate in a coding activity. To raise awareness of the need for digital literacy and a basic understanding of computer science, Jefferson Lab's Information Technology Division and Science Education staff are encouraging

  4. INCITE Program Doles Out Hours on Supercomputers | Department of Energy

    Office of Environmental Management (EM)

    INCITE Program Doles Out Hours on Supercomputers INCITE Program Doles Out Hours on Supercomputers November 5, 2012 - 1:30pm Addthis Mira, the 10-petaflop IBM Blue Gene/Q system at Argonne National Laboratory, is capable of carrying out 10 quadrillion calculations per second. Each year researchers apply to the INCITE program to get to use this machine's incredible computing power. | Photo courtesy of Argonne National Lab. Mira, the 10-petaflop IBM Blue Gene/Q system at Argonne National

  5. 100,000 hour design life of turbo compressor packages

    SciTech Connect (OSTI)

    1998-05-20

    Many turbomachinery manufacturers and operators typically quote 100,000 hours as a design limit for service life of turbo compressor components. The Pipeline Research Committee initiated this study to review the life limiting criteria for certain critical components and determine if the design target of 100,000 hours can be safely and reliably met or extended with special component management practices. The first phase of the project was to select the turbomachinery components that would be included in the review. Committee members were surveyed with a detailed questionnaire designed to identify critical components based on: high hours (e.g. at or approaching 100,000 hours) the most common engine types operated by the member organizations, and the components of greatest concern from a risk and expense point of view. The selection made covers a wide range of engine types that are of interest to most of the committee companies. This selection represents some 78% of the high hour units operated by the committee and includes components from GE Frame 3 and Frame 5, Solar Saturn, Rolls Royce Avon, and Cooper RT56 engines. The report goes into detail regarding the various damage mechanism which can be the main life limiting factor of the component; creep, fatigue, environmental attack, wear and microstructure instability. For each of the component types selected, the study identifies the life limiting criteria and outlines how the components may be managed for extended life. Many of the selected components can be reliably operated beyond 100,000 hours by following the management practices set out in the report.

  6. BioenergizeME Office Hours Webinar: Integrating Bioenergy into the

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

    9th-12th Grade Classroom | Department of Energy BioenergizeME Office Hours Webinar: Integrating Bioenergy into the 9th-12th Grade Classroom BioenergizeME Office Hours Webinar: Integrating Bioenergy into the 9th-12th Grade Classroom December 10, 2015 4:00PM to 4:45PM EST Online Biofuel is the only viable substitute for petroleum-based liquid transportation fuel in the near term. It is, therefore, increasingly relevant to enhance conceptual knowledge of biofuels and other types of bioenergy in

  7. Energy Savings Performance Contracting 14-hour Agency Onsite Workshop |

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

    Department of Energy Energy Savings Performance Contracting 14-hour Agency Onsite Workshop Energy Savings Performance Contracting 14-hour Agency Onsite Workshop January 20, 2016 8:30AM PST to January 21, 2016 3:00PM PST This two-day workshop in San Francisco at General Services Administration Region 9 educates students about how to implement energy and water projects through an energy savings performance contract (ESPC). This workshop is composed of a basic introduction to the U.S.

  8. Pay and Leave Administration and Hours of Duty

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-01-19

    The order establishes requirements and responsibilities for the management of pay, including overtime pay and compensatory time, leave administration, time and attendance reporting, and hours of duty. Admin Chg 1, dated 5-10-12, supersedes DOE O 322.1C.

  9. Hospital Triage in First Hours After Nuclear or Radiological Disaster

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

    Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Medical professionals with the Radiation Emergency Assistance Center/Training Site (REAC/TS) at the Oak Ridge Institute for Science and Education (ORISE) authored an article that addresses the problems emergency physicians would likely face in the event of a nuclear or radiological catastrophe. The article specifically covers actions that would need to occur so that reasonable decisions are made during the critical

  10. SSLS Coffee/Dessert Hour Calendar of Topics

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

    Coffee/Dessert Hour Calendar of Topics - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management

  11. BioenergizeME Office Hours Webinar: Integrating Bioenergy into the

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

    9th-12th Grade Classroom | Department of Energy December 10, 2015 4:00PM to 4:45PM EST Online The U.S. Department of Energy's Bioenergy Technologies Office is hosting the next BioenergizeME Office Hours Webinar entitled "Integrating Bioenergy into the 9th-12th Grade Classroom" on Thursday, December 10, from 4:00 p.m.-4:45 p.m. Eastern Standard Time. This webinar is designed to assist 9th-12th grade educators and administrators integrate bioenergy with the core scientific principles

  12. 20140501-0531_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 May to 31 May 2014.

  13. 20140101-0131_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Jan to 31 Jan 2014.

  14. 20130501-20130531_Green Machine Florida Canyon Hourly Data

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

    Vanderhoff, Alex

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from May 2013

  15. 20130901-0930_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 1 September 2013 to 30 September 2013.

  16. 20131001-1031_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 1 Oct 2013 to 31 Oct 2013.

  17. 20140301-0331_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Mar to 31 Mar 2014.

  18. 20131201-1231_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Dec to 31 Dec 2013.

  19. 20140701-0731_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 July to 31 July 2014.

  20. 20130801-0831_Green Machine Florida Canyon Hourly Data

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

    Vanderhoff, Alex

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 8/1/13 to 8/31/13.

  1. 20140201-0228_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Feb to 28 Feb 2014.

  2. 20140601-0630_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 June to 30 June 2014.

  3. 20131101-1130_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Nov to 30 Nov 2013.

  4. 20140301-0331_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    2014-04-07

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Mar to 31 Mar 2014.

  5. 20131201-1231_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    2014-01-08

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Dec to 31 Dec 2013.

  6. 20140101-0131_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    2014-02-03

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Jan to 31 Jan 2014.

  7. 20140501-0531_Green Machine Florida Canyon Hourly Data

    SciTech Connect (OSTI)

    Thibedeau, Joe

    2014-06-02

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 May to 31 May 2014.

  8. 20130501-20130531_Green Machine Florida Canyon Hourly Data

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

    Vanderhoff, Alex

    2013-06-18

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from May 2013

  9. 20140701-0731_Green Machine Florida Canyon Hourly Data

    SciTech Connect (OSTI)

    Thibedeau, Joe

    2014-07-31

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 July to 31 July 2014.

  10. 20140201-0228_Green Machine Florida Canyon Hourly Data

    SciTech Connect (OSTI)

    Thibedeau, Joe

    2014-03-03

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Feb to 28 Feb 2014.

  11. 20140601-0630_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    2014-06-30

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 June to 30 June 2014.

  12. 20131101-1130_Green Machine Florida Canyon Hourly Data

    SciTech Connect (OSTI)

    Thibedeau, Joe

    2013-12-02

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Nov to 30 Nov 2013.

  13. 20130801-0831_Green Machine Florida Canyon Hourly Data

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

    Vanderhoff, Alex

    2013-09-10

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 8/1/13 to 8/31/13.

  14. 20131001-1031_Green Machine Florida Canyon Hourly Data

    SciTech Connect (OSTI)

    Thibedeau, Joe

    2013-11-05

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 1 Oct 2013 to 31 Oct 2013.

  15. 20130901-0930_Green Machine Florida Canyon Hourly Data

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

    Thibedeau, Joe

    2013-10-25

    Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 1 September 2013 to 30 September 2013.

  16. Analysis of clear hour solar irradiation for seven Canadian stations

    SciTech Connect (OSTI)

    Garrison, J.; Sahami, K.

    1995-12-31

    Hourly global and diffuse irradiation and corresponding surface meteorological data have been analyzed for the seven Canadian stations at Edmonton, Goose Bay, Montreal, Port Hardy, Resolute, Toronto, and Winnipeg. The variation of the most probable clear hour values of clearness index k{sub t}, diffuse index k{sub d}, direct beam index k{sub b}, and Angstrom turbidity coefficient {beta} with solar elevation, atmospheric precipitable water, and snow depth are obtained. Values of these quantities are presented which are consistent with the attenuation and scattering of solar radiation by the atmosphere which is expected. The most probable values of {beta} tend to be lower than the average values of {beta} recently reported by Gueymard. The data indicate a drift in the calibration of the instruments used for measurements of the irradiation data for the stations at Goose Bay and Resolute. The data for the other five stations indicate that the instrument calibration is maintained over the years of the data. 4 refs., 8 figs., 5 tabs.

  17. BioenergizeME Office Hours Webinar: Biomass Basics

    Broader source: Energy.gov [DOE]

    Many students haven’t thought much about biomass as an option for generating electricity, transportation fuels, and other products. The Biomass Basics Webinar provides general information about bioenergy, its creation, and its potential uses, and is designed to assist teams competing in the 2016 BioenergizeME Infographic Challenge. This challenge, hosted by the U.S. Department of Energy’s Bioenergy Technologies Office (BETO), is a competition for high school students to learn about bioenergy, create infographics to present what they have learned, and share their infographics on social media. This webinar is part of the BioenergizeME Office Hours webinar series developed by BETO in conjunction with the 2016 BioenergizeME Infographic Challenge.

  18. Webinar: BioenergizeME Office Hours Webinar: Biomass Basics

    Broader source: Energy.gov [DOE]

    Many students haven’t thought much about biomass as an option for generating electricity, transportation fuels, and other products. The Biomass Basics Webinar provides general information about bioenergy, its creation, and its potential uses, and is designed to assist teams competing in the 2016 BioenergizeME Infographic Challenge. This challenge, hosted by the U.S. Department of Energy’s Bioenergy Technologies Office (BETO), is a competition for high school students to learn about bioenergy, create infographics to present what they have learned, and share their infographics on social media. This webinar is part of the BioenergizeME Office Hours webinar series developed by BETO in conjunction with the 2016 BioenergizeME Infographic Challenge.

  19. Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and...

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

    Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours Docket No....

  20. Scalable Tuning of Building Models to Hourly Data

    SciTech Connect (OSTI)

    Garrett, Aaron; New, Joshua Ryan

    2015-01-01

    Energy models of existing buildings are unreliable unless calibrated so they correlate well with actual energy usage. Manual tuning requires a skilled professional, is prohibitively expensive for small projects, imperfect, non-repeatable, non-transferable, and not scalable to the dozens of sensor channels that smart meters, smart appliances, and cheap/ubiquitous sensors are beginning to make available today. A scalable, automated methodology is needed to quickly and intelligently calibrate building energy models to all available data, increase the usefulness of those models, and facilitate speed-and-scale penetration of simulation-based capabilities into the marketplace for actualized energy savings. The ``Autotune'' project is a novel, model-agnostic methodology which leverages supercomputing, large simulation ensembles, and big data mining with multiple machine learning algorithms to allow automatic calibration of simulations that match measured experimental data in a way that is deployable on commodity hardware. This paper shares several methodologies employed to reduce the combinatorial complexity to a computationally tractable search problem for hundreds of input parameters. Accuracy metrics are provided which quantify model error to measured data for either monthly or hourly electrical usage from a highly-instrumented, emulated-occupancy research home.

  1. Tax Credits, Rebates & Savings | Department of Energy

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

    of solar generation, bundled in minimum denominations of one megawatt-hour (MWh) of production. The legislation... Eligibility: Commercial, Industrial, Local Government,...

  2. Solar Renewable Energy Certificates Program (SRECs)

    Broader source: Energy.gov [DOE]

    Solar Renewable Energy Certificates (SRECs) represent the renewable attributes of solar generation, bundled in minimum denominations of one megawatt-hour (MWh) of production. The legislation...

  3. Tax Credits, Rebates & Savings | Department of Energy

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

    per megawatt-hour (MWh) of electric generation. Electric suppliers must provide this information to customers twice annually in a standardized, uniform format. The Michigan Public...

  4. NREL Highlights 2010 Utility Green Power Leaders - News Releases...

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

    utility programs exceeded 6 million megawatt-hours (MWh) in 2010. Wind energy now represents more than three-fourths of electricity generated for green energy programs nationwide. ...

  5. Workers at Paducah Site Exceed 1.5 Million Hours Without Lost...

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

    at Paducah Site Exceed 1.5 Million Hours Without Lost-Time Injury, Illness Workers at Paducah Site Exceed 1.5 Million Hours Without Lost-Time Injury, Illness October 30, 2014 -...

  6. Is the hourly data I get from NREL's PV Watts program adjusted...

    Open Energy Info (EERE)

    Is the hourly data I get from NREL's PV Watts program adjusted for daylight savings time. Home I take the hourly AC output numbers and apply them to a program I built that assigns...

  7. Derivation of 24-Hour Average SO2, Background for the Update...

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

    Derivation of 24-Hour Average SO2, Background for the Update 1 Report Derivation of 24-Hour Average SO2, Background for the Update 1 Report Docket No. EO-05-01. As supporting...

  8. EPA ENERGY STAR Webcast: Portfolio Manager Office Hours, Focus Topic: Sharing Forward and Transfer Ownership

    Broader source: Energy.gov [DOE]

    Portfolio Manager "Office Hours" is a live webinar that gives all users an opportunity to ask their questions directly to EPA in an open forum. In 2014, Office Hours will be held once a month. We...

  9. Kenya Hourly DNI, GHI and Diffuse Solar Data - Datasets - OpenEI...

    Open Energy Info (EERE)

    Kenya Hourly DNI, GHI and Diffuse Solar Data Abstract Each data file is a set of hourly values of solar radiation (DNI, GHI and diffuse) and meteorological elements for a 1-year...

  10. BioenergizeME Office Hours Webinar: Must-Know Tips for the 2016...

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

    BioenergizeME Office Hours Webinar: Must-Know Tips for the 2016 BioenergizeME Infographic Challenge BioenergizeME Office Hours Webinar: Must-Know Tips for the 2016 BioenergizeME ...

  11. EIA-930 Hourly and Daily Balancing Authority Operations Reports - Instructions Page

    Gasoline and Diesel Fuel Update (EIA)

    930 Hourly and Daily Balancing Authority Operations Reports - Instructions Page 1 of 3 You must have an EIA Data xChange account to use these instructions HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT DATA XCHANGE TRANSMITTAL INSTRUCTIONS EIA-930 ............................................................................................................................................................................................................................................

  12. EPA ENERGY STAR Webcast- Portfolio Manager Office Hours, Focus Topic: Weather Data and Metrics

    Broader source: Energy.gov [DOE]

    Portfolio Manager "Office Hours" is a live webinar that gives all users an opportunity to ask their questions directly to EPA in an open forum. In 2014, Office Hours will be held once a month. We...

  13. Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor | Department of Energy

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

    Ambient 24 Hour SO2 Values: Model vs Monitor Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Docket No. EO-05-01: Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor, March 2002 to November 2004, showing the model overprediction PDF icon Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor More Documents & Publications Comments on Department of Energy's Emergency Order To Resume Limited Operation at Mirant's Potomac River Generating Station and Proposed Mirant Compliance Plan

  14. Study Finds 54 Gigawatts of Offshore Wind Capacity Technically...

    Office of Environmental Management (EM)

    According to a new study funded by DOE, the United States has sufficient offshore wind energy ... the national annual electricity production costs by approximately 7.68 ...

  15. Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours

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

    in VolunteerMatch Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours in VolunteerMatch Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:Mar. 2016 all issues All Issues » submit Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours in VolunteerMatch Lab employees and retirees should log their VolunteerMatch hours to benefit local nonprofits. March 1, 2013 Volunteers help fill sandbags

  16. DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading

    Energy Savers [EERE]

    Scientific Research Projects | Department of Energy 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects January 17, 2008 - 10:38am Addthis WASHINGTON, DC -The U.S. Department of Energy's (DOE) Office of Science today announced that 265 million processor-hours were awarded to 55 scientific projects, the largest amount of supercomputing resource awards

  17. Join the Call: One Million Hours of STEM Volunteer Service | Department of

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

    Energy Call: One Million Hours of STEM Volunteer Service Join the Call: One Million Hours of STEM Volunteer Service June 30, 2015 - 10:19am Addthis Join the Call: One Million Hours of STEM Volunteer Service America's ability to meet the demands of its energy future depends on having a trained, dedicated science, technology, engineering, and mathematics (STEM) workforce. To answer this call, the Energy Department has an obligation to do all that is possible to attract, engage, educate, and

  18. SolOPT: PV and Solar Hot Water Hourly Simulation Software Tool...

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

    SolOPT: PV and Solar Hot Water Hourly Simulation Software Tool National Renewable Energy Laboratory Contact NREL About This Technology Publications: PDF Document Publication...

  19. BioenergizeME Office Hours Webinar: Guide to the 2016 BioenergizeME...

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

    researching their selected topics, developing their infographics, and designing effective social media campaigns. This webinar is part of the BioenergizeME Office Hours webinar...

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

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

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

  1. DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to

    Energy Savers [EERE]

    15 Teams for Large-Scale Scientific Computing | Department of Energy 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing February 1, 2006 - 11:14am Addthis WASHINGTON, D.C. - Secretary of Energy Samuel W. Bodman announced today that DOE's Office of Science has awarded a total of 18.2 million hours of computing time on some of the world's

  2. DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to

    Energy Savers [EERE]

    Advance Research in Science, Academia and Industry | Department of Energy 95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry January 8, 2007 - 9:59am Addthis WASHINGTON, D.C. - The U.S. Department of Energy's (DOE) Office of Science announced today that 45 projects were awarded a total of 95 million hours of computing time on

  3. Pilot Plant Completes Two 1,000-Hour Ethanol Performance Runs | Department

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

    of Energy Pilot Plant Completes Two 1,000-Hour Ethanol Performance Runs Pilot Plant Completes Two 1,000-Hour Ethanol Performance Runs October 19, 2015 - 12:38pm Addthis ICM Inc. announced successful completion of two 1,000-hour performance runs of its patent-pending Generation 2.0 Co-Located Cellulosic Ethanol process at its cellulosic ethanol pilot plant in St. Joseph, Missouri. This is an important step toward the commercialization of cellulosic ethanol from switchgrass and energy sorghum.

  4. SunShot Announces 24-Hour Solar Data Hackathon | Department of Energy

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

    Announces 24-Hour Solar Data Hackathon SunShot Announces 24-Hour Solar Data Hackathon May 8, 2014 - 11:45am Addthis SunShot will host a 24-hour solar data hackathon at the 2014 SunShot Grand Challenge Summit. Learn more over at the EERE blog and register here. Addthis Related Articles Douglas Hitching (left), CEO of Silicon Solar Solutions and Henry Chung, LG, talk during a one-on-one networking session at the National Renewable Energy Laboratory's Industry Growth Forum in 2012. The SunShot

  5. Hourly Wage and Fringe Benefit Rates FY16 WAGE SUPPLEMENT Issued 10-01-15

    National Nuclear Security Administration (NNSA)

    Supplement to PLAs Hourly Wage and Fringe Benefit Rates FY16 WAGE SUPPLEMENT Issued 10-01-15 Craft Agmt. Type Classification (Alphabetical) BN Job Code Current Hourly Wage Rates (Use most recent 04/01/15 Re- Allocation (increase HW emploee portion) (letter dated 5/1/15 states for April hours) 10/01/15 (Allocation $1.00 wages) $0.00 $1.00 MEE Maintenance Engineer I (ME-I) 037502 28.26 29.26 MEE Maintenance Engineer II (ME-II) 037503 32.40 33.40 MEE Lead Maintenance Engineer (LME) $1.50 over ME-II

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

    Office of Environmental Management (EM)

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

  7. EERE Success Story-Pilot Plant Completes Two 1,000-Hour Ethanol

    Office of Environmental Management (EM)

    Performance Runs | Department of Energy Pilot Plant Completes Two 1,000-Hour Ethanol Performance Runs EERE Success Story-Pilot Plant Completes Two 1,000-Hour Ethanol Performance Runs January 22, 2016 - 11:01am Addthis ICM Inc. announced successful completion of two 1,000-hour performance runs of its patent-pending Generation 2.0 Co-Located Cellulosic Ethanol process at its cellulosic ethanol pilot plant in St. Joseph, Missouri. This is an important step toward the commercialization of

  8. Webinar: BioenergizeME Office Hours Webinar: Guide to the 2016...

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

    Guide to the 2016 BioenergizeME Infographic Challenge Webinar: BioenergizeME Office Hours Webinar: Guide to the 2016 BioenergizeME Infographic Challenge Webinar: BioenergizeME ...

  9. Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.41

    Broader source: Energy.gov [DOE]

    Provides required documentation that Hourly Analysis Program (HAP) version 4.41 meets Internal Revenue Code §179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.

  10. Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.40

    Broader source: Energy.gov [DOE]

    Provides required documentation that Hourly Analysis Program (HAP) version 4.40 meets Internal Revenue Code §179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.

  11. Pilot Plant Completes Two 1,000-Hour Ethanol Performance Runs...

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

    1,000-hour performance runs of its patent-pending Generation 2.0 Co-Located Cellulosic Ethanol process at its cellulosic ethanol pilot plant in St. Joseph, Missouri. This is an...

  12. Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.34

    Broader source: Energy.gov [DOE]

    Provides required documentation that Hourly Analysis Program (HAP) version 4.34 meets Internal Revenue Code 179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

  13. Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.31

    Broader source: Energy.gov [DOE]

    Provides required documentation that Hourly Analysis Program (HAP) version 4.31 meets Internal Revenue Code 179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

  14. EPA ENERGY STAR Webcast- Portfolio Manager® Office Hours, Focus Topic: Portfolio Manager 2015 Priorities

    Broader source: Energy.gov [DOE]

    Portfolio Manager "Office Hours" is a live webinar that gives all users an opportunity to ask their questions directly to EPA in an open forum. We will plan to spend the first 20-30 minutes of each...

  15. Y-12 Construction hits one million-hour mark without a lost-time...

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

    Construction hits one ... Y-12 Construction hits one million-hour mark without a lost-time accident Posted: August 30, 2012 - 5:30pm The B&W Y-12 Direct-Hire Construction team has...

  16. WIPP Workers Reach Two Million Man-Hours Without a Lost-Time...

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

    Workers Reach Two Million Man-Hours Without a Lost-Time Accident CARLSBAD, N.M., February 22, 2001 - Workers at the U.S. Department of Energy's (DOE) Waste Isolation Pilot Plant...

  17. Pilot Plant Completes Two 1,000-Hour Ethanol Performance Runs

    Broader source: Energy.gov [DOE]

    ICM Inc. announced successful completion of two 1,000-hour performance runs of its patent-pending Generation 2.0 Co-Located Cellulosic Ethanol process at its cellulosic ethanol pilot plant in St....

  18. Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.50

    Broader source: Energy.gov [DOE]

    Provides required documentation that Hourly Analysis Program (HAP) version 4.50 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

  19. Department of Energy’s Paducah Site Reaches Million-Hour Safety Milestone

    Broader source: Energy.gov [DOE]

    PADUCAH, KY – The U.S. Department of Energy’s Paducah Site has reached a million hours of safe work toward completing cleanup objectives to reduce environmental risk.

  20. Paducah Site Exceeds 2.5 Million Hours Without Lost Workdays

    Broader source: Energy.gov [DOE]

    This month, EM’s cleanup contractor at the Paducah site celebrated surpassing 2.5 million work hours without lost workdays resulting from job-related injury or illness.

  1. Workers at Paducah Site Exceed 1.5 Million Hours Without Lost-Time Injury, Illness

    Broader source: Energy.gov [DOE]

    PADUCAH, Ky. – Workers with Paducah site infrastructure contractor Swift & Staley, Inc. recently exceeded 1.5 million hours without lost time away from work due to injury or illness, representing nine years of safe performance.

  2. EPA ENERGY STAR Webinar: Portfolio Manager Office Hours, Focus Topic: Understanding Energy Metrics

    Broader source: Energy.gov [DOE]

    Portfolio Manager "Office Hours" is a live webinar that gives all users an opportunity to ask their questions directly to EPA in an open forum. We will plan to spend the first 20-30 minutes of each...

  3. EPA ENERGY STAR Webcast: Portfolio Manager Office Hours, Focus Topic: Responding to a Data Request

    Broader source: Energy.gov [DOE]

    Portfolio Manager "Office Hours" is a live webinar that gives all users an opportunity to ask their questions directly to EPA in an open forum. We will plan to spend the first 20-30 minutes of each...

  4. Computer Code Gives Astrophysicists First Full Simulation of Star's Final Hours

    ScienceCinema (OSTI)

    Andy Nonaka

    2010-01-08

    The precise conditions inside a white dwarf star in the hours leading up to its explosive end as a Type Ia supernova are one of the mysteries confronting astrophysicists studying these massive stellar explosions. But now, a team of researchers, composed of three applied mathematicians at the U.S. Department of Energy's (DOE) Lawrence Berkeley National Laboratory and two astrophysicists, has created the first full-star simulation of the hours preceding the largest thermonuclear explosions in the universe.

  5. Webinar: BioenergizeME Office Hours Webinar: Guide to the 2016

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

    BioenergizeME Infographic Challenge | Department of Energy Guide to the 2016 BioenergizeME Infographic Challenge Webinar: BioenergizeME Office Hours Webinar: Guide to the 2016 BioenergizeME Infographic Challenge Webinar: BioenergizeME Office Hours Webinar: Guide to the 2016 BioenergizeME Infographic Challenge PDF icon bioenergizeme_challenge_guide_20151015.pdf More Documents & Publications BioenergizeME Infographic Challenge Rubric BioenergizeME Infographic Challenge Toolkit Webinar:

  6. Use of annual profiles of hourly data for analyzing DOE-2 building simulation program results

    SciTech Connect (OSTI)

    Haberl, J.; MacDonald, M.; Eden, A.

    1987-06-01

    This paper presents an approach for improving potential building energy analyses using the DOE-2 computer program. The approach makes use of the ability to generate hour-by-hour data results from DOE-2 simulations, and uses a plotting package to generate 3-dimensional annual profiles of the hour-by-hour data for specific quantities of interest. The annual profiles of hourly data provide a graphical check of voluminous data in a condensed form allowing several different types of data to be plotted over a year. These profiles provide the user the opportunity to: check simulation results, check potential problems with simulations, provide graphs to customers who may want a simpler presentation, visualize interactions in simulations, and understand where weak areas may exist in simulations. Future analysis, using such profiles, may allow methods to be developed to check consistency between simulations, check for potential errors in modeling buildings, and better understand how simulations compared with data from real buildings. 14 refs., 24 figs.

  7. Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis: Preprint

    SciTech Connect (OSTI)

    Hummon, M.; Ibanez, E.; Brinkman, G.; Lew, D.

    2012-12-01

    High penetration renewable integration studies need high quality solar power data with spatial-temporal correlations that are representative of a real system. This paper will summarize the research relating sequential point-source sub-hour global horizontal irradiance (GHI) values to static, spatially distributed GHI values. This research led to the development of an algorithm for generating coherent sub-hour datasets that span distances ranging from 10 km to 4,000 km. The algorithm, in brief, generates synthetic GHI values at an interval of one-minute, for a specific location, using SUNY/Clean Power Research, satellite-derived, hourly irradiance values for the nearest grid cell to that location and grid cells within 40 km.

  8. Y-12 Construction hits one million-hour mark without a lost-time accident |

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

    Y-12 National Security Complex Construction hits one ... Y-12 Construction hits one million-hour mark without a lost-time accident Posted: August 30, 2012 - 5:30pm The B&W Y-12 Direct-Hire Construction team has worked one million hours, covering a 633-day period, without a lost-time injury. Some 285 people including building trade crafts, non-manual staff and escorts worked without a lost-time accident during this period. The Construction team's last lost workday was in September 2010. A

  9. NREL Finds Up to 6-cent per Kilowatt-Hour Extra Value with Concentrated

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

    Solar Power - News Releases | NREL Finds Up to 6-cent per Kilowatt-Hour Extra Value with Concentrated Solar Power The greater the penetration of renewables in California, the greater the value of CSP with thermal storage capacity June 9, 2014 Concentrating Solar Power (CSP) projects would add additional value of 5 or 6 cents per kilowatt hour to utility-scale solar energy in California where 33 percent renewables will be mandated in six years, a new report by the Energy Department's National

  10. Jefferson Lab Group Gets 10 Million Hours of Supercomputer Time | Jefferson

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

    Lab Group Gets 10 Million Hours of Supercomputer Time January 25, 2007 XT3 The Cray XT3 at DOE's Oak Ridge National Laboratory. Newport News, Va. - A project led by the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility's Theory Center has been allotted 10 million hours of processing time by DOE's 2007 INCITE program on the Cray XT3 located at Oak Ridge National Laboratory. According to Jefferson Lab Theory Center member and the project's Principal Investigator,

  11. DOE Publishes 20K Hour Testing Results for 2008 GATEWAY Bridge Installation

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

    | Department of Energy 20K Hour Testing Results for 2008 GATEWAY Bridge Installation DOE Publishes 20K Hour Testing Results for 2008 GATEWAY Bridge Installation October 9, 2014 - 12:00pm Addthis The U.S. Department of Energy has released a report on the longer-term performance of an LED lighting system that was installed on the I-35W Bridge in Minneapolis in September 2008 and represents one of the country's oldest continuously operated exterior LED lighting installations. The report is a

  12. Moab Project Safely Logs 2 Million Work Hours | Department of Energy

    Energy Savers [EERE]

    Safely Logs 2 Million Work Hours Moab Project Safely Logs 2 Million Work Hours March 12, 2014 - 12:00pm Addthis Empty containers on haul trucks are being loaded with mill tailings. Empty containers on haul trucks are being loaded with mill tailings. Media Contacts Donald Metzler, Moab Federal Project Director, (970) 257-2115 Wendee Ryan, S&K Aerospace Public Affairs Manager, (970) 257-2145 (Grand Junction, CO) - The number 1,584 may not mean much to most people, but for the workers on the

  13. Computer Code Gives Astrophysicists First Full Simulation of Star's Final Hours

    ScienceCinema (OSTI)

    Applin, Bradford

    2013-05-29

    The precise conditions inside a white dwarf star in the hours leading up to its explosive end as a Type Ia supernova are one of the mysteries confronting astrophysicists studying these massive stellar explosions. But now, a team of researchers, composed of three applied mathematicians at the U.S. Department of Energy's (DOE) Lawrence Berkeley National Laboratory and two astrophysicists, has created the first full-star simulation of the hours preceding the largest thermonuclear explosions in the universe. http://www.lbl.gov/cs/Archive/news091509.html

  14. Hacking Away at Soft Costs: 24-Hour Coding Event Focuses on Expanding Solar

    Office of Environmental Management (EM)

    Market | Department of Energy Hacking Away at Soft Costs: 24-Hour Coding Event Focuses on Expanding Solar Market Hacking Away at Soft Costs: 24-Hour Coding Event Focuses on Expanding Solar Market May 7, 2014 - 2:45pm Addthis Douglas Hitching (left), CEO of Silicon Solar Solutions and Henry Chung, LG, talk during a one-on-one networking session at the National Renewable Energy Laboratory's Industry Growth Forum in 2012. The SunShot Initiative and the National Renewable Energy Laboratory are

  15. BioenergizeME Office Hours Webinar: Must-Know Tips for the 2016

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

    BioenergizeME Infographic Challenge | Department of Energy BioenergizeME Office Hours Webinar: Must-Know Tips for the 2016 BioenergizeME Infographic Challenge BioenergizeME Office Hours Webinar: Must-Know Tips for the 2016 BioenergizeME Infographic Challenge January 21, 2016 4:00PM to 4:45PM EST Online Infographics are a useful visual tool for explaining complex information, numbers, or data quickly and effectively. However, you do not need to be an experienced graphic designer to make an

  16. Tax Deduction Qualified Software: Hourly Analysis Program Version 4.91

    Broader source: Energy.gov [DOE]

    Provides required documentation that the Hourly Analysis Program (HAP) version 4.91 meets Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements.

  17. Tax Deduction Qualified Software: Hourly Analysis Program Version 4.90

    Broader source: Energy.gov [DOE]

    Provides required documentation that the Hourly Analysis Program (HAP) version 4.90 meets Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements.

  18. Six- and three-hourly meteorological observations from 223 USSR stations

    SciTech Connect (OSTI)

    Razuvaev, V.N.; Apasova, E.B.; Martuganov, R.A.; Kaiser, D.P.

    1995-04-01

    This document describes a database containing 6- and 3-hourly meteorological observations from a 223-station network of the former Soviet Union. These data have been made available through cooperation between the two principal climate data centers of the United States and Russia: the National Climatic Data Center (NCDC), in Asheville, North Carolina, and the All-Russian Research Institute of Hydrometeorological Information -- World Data Centre (RIHMI-WDC) in Obninsk. Station records consist of 6- and 3-hourly observations of some 24 meteorological variables including temperature, weather type, precipitation amount, cloud amount and type, sea level pressure, relative humidity, and wind direction and speed. The 6-hourly observations extend from 1936 to 1965; the 3-hourly observations extend from 1966 through the mid-1980s (1983, 1984, 1985, or 1986; depending on the station). These data have undergone extensive quality assurance checks by RIHMI-WDC, NCDC, and the Carbon Dioxide Information Analysis Center (CDIAC). The database represents a wealth of meteorological information for a large and climatologically important portion of the earth`s land area, and should prove extremely useful for a wide variety of regional climate change studies. These data are available free of charge as a numeric data package (NDP) from CDIAC. The NDP consists of this document and 40 data files that are available via the Internet or on 8mm tape. The total size of the database is {approximately}2.6 gigabytes.

  19. Electric rate that shifts hourly may foretell spot-market kWh

    SciTech Connect (OSTI)

    Springer, N.

    1985-11-25

    Four California industrial plants have cut their electricity bills up to 16% by shifting from the traditional time-of-use rates to an experimental real-time program (RTP) that varies prices hourly. The users receive a price schedule reflecting changing generating costs one day in advance to encourage them to increase power consumption during the cheapest time periods. Savings during the pilot program range between $11,000 and $32,000 per customer. The hourly cost breakdown encourages consumption during the night and early morning. The signalling system could be expanded to cogenerators and independent small power producers. If an electricity spot market develops, forecasters think a place on the stock exchanges for future-delivery contracts could develop in the future.

  20. Job Code Description Hourly Wage TR-I Job Code TR I Wage TR-II

    National Nuclear Security Administration (NNSA)

    17 031007 Firefighter/CIC/EMT $33.13 Engineer/CIC/EMT $19.76 Engineer/CIC/EMT $35.99 Chiefs Aide/CIC/EMT $19.76 Chiefs Aide/CIC/EMT $35.99 Lieutenant/CIC/EMT $20.99 Lieutenant/CIC/EMT $38.21 Captain/CIC/EMT $22.23 Captain/CIC/EMT $40.44 Assistant Chief/CIC/EMT $25.42 Assistant Chief/CIC/EMT $46.18 FP Tech/CIC/EMT $21.13 031019 FP Tech/CIC/EMT $38.47 031049 FP Captain/CIC/EMT $23.60 FP Captain/CIC/EMT $42.91 56-HOUR EMT & HAZ $1.11 10-HOUR EMT & HAZ $2.00 031047 Firefighter/CIC/EMT/HAZ

  1. Job Code Description Hourly Wage TR-I Job Code TR I Wage TR-II

    National Nuclear Security Administration (NNSA)

    71 031007 Firefighter/CIC/EMT $33.67 Engineer/CIC/EMT $20.30 Engineer/CIC/EMT $36.53 Chiefs Aide/CIC/EMT $20.30 Chiefs Aide/CIC/EMT $36.53 Lieutenant/CIC/EMT $21.53 Lieutenant/CIC/EMT $38.75 Captain/CIC/EMT $22.77 Captain/CIC/EMT $40.98 Assistant Chief/CIC/EMT $25.96 Assistant Chief/CIC/EMT $46.72 FP Tech/CIC/EMT $21.67 031019 FP Tech/CIC/EMT $39.01 031049 FP Captain/CIC/EMT $24.14 FP Captain/CIC/EMT $43.45 56-HOUR EMT & HAZ $1.11 10-HOUR EMT & HAZ $2.00 031047 Firefighter/CIC/EMT/HAZ

  2. BioenergizeME Office Hours Webinar: Integrating Bioenergy into the 9th-12th Grade Classroom

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

    December 10, 2015 BioenergizeME Office Hours Integrating Bioenergy into the 9 th__ 12 th Grade Classroom Alexis Martin Knauss Fellow Bioenergy Technologies Office U.S. Department of Energy Shannon Zaret Contractor, The Hannon Group Bioenergy Technologies Office U.S. Department of Energy 2 | Bioenergy Technologies Office Agenda 1. Overview Of Energy Literacy 2. Overview of Next Generation Science Standards 3. Bioenergy Basics 5. Incorporation of Bioenergy into the Classroom 4. 2016 BioenergizeME

  3. BioenergizeME Office Hours: Guide to the 2016 BioenergizeME Infographic Challenge

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

    October 15, 2015 BioenergizeME Office Hours Guide to the 2016 BioenergizeME Infographic Challenge Shannon Zaret Communications Specialist, The Hannon Group Contractor to the U.S. Department of Energy's Bioenergy Technologies Office 2 | Bioenergy Technologies Office | Bioenergy Technologies Office Agenda * Overview * Research Topic Areas And Prompts * Research Resources * Infographic Resources * Rubric * Social Media Campaign * Awards * Registration * Resources for Educators * Questions 3 |

  4. Question/comment: An estimate of the direct productive labor hours (DPLH) per l

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

    Question/comment: An estimate of the direct productive labor hours (DPLH) per labor category is not provided in the Request for Proposal for DE-SOL-0005388. Will the Government provide such information so that Offerors may develop a responsive proposal? Response: Historical data reflecting full time equivalent (FTE) support personnel by labor category is provided in Section J.9, Attachment D of the RFP in the table titled Position Qualifications. Each Offeror is expected to propose the labor

  5. PPPL team wins 80 million processor hours on nation's fastest supercomputer

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

    | Princeton Plasma Physics Lab team wins 80 million processor hours on nation's fastest supercomputer By John Greenwald January 26, 2016 Tweet Widget Google Plus One Share on Facebook Model of colliding magnetic fields before magnetic reconnection. (Model by Will Fox courtesy of Physical Review Letters 113, 105003 2014) Model of colliding magnetic fields before magnetic reconnection. (Model by Will Fox courtesy of Physical Review Letters 113, 105003 2014) The U.S Department of Energy (DOE)

  6. Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster

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

    Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Berger, ME; Leonard, RB; Ricks, RC; Wiley, AL; Lowry, PC; Flynn, DF Abstract: This article addresses the problems emergency physicians would face in the event of a nuclear or radiological catastrophe. It presents information about what needs to be done so that useful information will be gathered and reasonable decisions made in the all important triage period. A brief introductory explanation of radiation injury is

  7. PPPL team wins 80 million processor hours on nation's fastest supercomputer

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

    | Princeton Plasma Physics Lab team wins 80 million processor hours on nation's fastest supercomputer By John Greenwald January 26, 2016 Tweet Widget Google Plus One Share on Facebook Model of colliding magnetic fields before magnetic reconnection. (Model by Will Fox courtesy of Physical Review Letters 113, 105003 2014) Model of colliding magnetic fields before magnetic reconnection. (Model by Will Fox courtesy of Physical Review Letters 113, 105003 2014) The U.S Department of Energy (DOE)

  8. Optimizing hourly hydro operations at the Salt Lake City Area integrated projects

    SciTech Connect (OSTI)

    Veselka, T.D.; Hamilton, S.; McCoy, J.

    1995-06-01

    The Salt Lake City Area (SLCA) office of the Western Area Power Administration (Western) is responsible for marketing the capacity and energy generated by the Colorado Storage, Collbran, and Rio Grande hydropower projects. These federal resources are collectively called the Salt Lake City Area Integrated Projects (SLCA/IP). In recent years, stringent operational limitations have been placed on several of these hydropower plants including the Glen Canyon Dam, which accounts for approximately 80% of the SLCA/IP resources. Operational limitations on SLCA/IP hydropower plants continue to evolve as a result of decisions currently being made in the Glen Canyon Dam Environmental Impact Statement (EIS) and the Power Marketing EIS. To analyze a broad range of issues associated with many possible future operational restrictions, Argonne National Laboratory (ANL), with technical assistance from Western has developed the Hydro LP (Linear Program) Model. This model simulates hourly operations at SLCA/IP hydropower plants for weekly periods with the objective of maximizing Western`s net revenues. The model considers hydropower operations for the purpose of serving SLCA firm loads, loads for special projects, Inland Power Pool (IPP) spinning reserve requirements, and Western`s purchasing programs. The model estimates hourly SLCA/IP generation and spot market activities. For this paper, hourly SLCA/IP hydropower plant generation is simulated under three operational scenarios and three hydropower conditions. For each scenario an estimate of Western`s net revenue is computed.

  9. Optimizing hourly hydro operations at the Salt Lake City Area Integrated Projects

    SciTech Connect (OSTI)

    Veselka, T.D.; Hamilton, S.; McCoy, J.

    1995-10-01

    The Salt Lake City Area (SLCA) office of the Western Area Power Administration (Western) is responsible for marketing the capacity and energy generated by the Colorado River Storage, Collbran, and Rio Grande hydropower projects. These federal resources are collectively called the Salt Lake City Area Integrated Projects (SLCA/IP). In recent years, stringent operational limitations have been placed on several of these hydropower plants including the Glen Canyon Dam, which accounts for approximately 80% of the SLCA/IP resources. Operational limitations on SLCA/IP hydropower plants continue to evolve as a result of decisions currently being made in the Glen Canyon Dam Environmental Impact Statement (EIS) and the Power Marketing EIS. The Hydro LP (Linear Program) model, which was developed by Argonne National Laboratory (ANL), was used to analyze a broad range of issues associated with many possible future operational restrictions at SLCA/IP power plants. With technical assistance from Western, the Hydro LP model was configured to simulate hourly power plant operations for weekly periods with the objective of maximizing Western`s net revenues. The model considers hydropower operations for the purpose of serving SLCA firm loads, loads for special projects, Inland Power Pool (IPP) operating reserve requirements, and Western`s purchasing programs. The model estimates hourly SLCA/IP generation and spot market activities. For this paper, hourly SLCA/IP hydropower plant generation was simulated under three operational scenarios and three hydropower conditions. For each scenario an estimate of Western`s net revenue was computed.

  10. Identifying Challenging Operating Hours for Solar Intergration in the NV Energy System

    SciTech Connect (OSTI)

    Etingov, Pavel V.; Lu, Shuai; Guo, Xinxin; Ma, Jian; Makarov, Yuri V.; Chadliev, Vladimir; Salgo, Richard

    2012-05-09

    Abstract-- In this paper, the ability of the Nevada (NV) Energy generation fleet to meet its system balancing requirements under different solar energy penetration scenarios is studied. System balancing requirements include capacity, ramp rate, and ramp duration requirements for load following and regulation. If, during some operating hours, system capability is insufficient to meet these requirements, there is certain probability that the balancing authoritys control and reliability performance can be compromised. These operating hours are considered as challenging hours. Five different solar energy integration scenarios have been studied. Simulations have shown that the NV Energy system will be potentially able to accommodate up to 942 MW of solar photovoltaic (PV) generation. However, the existing generation scheduling procedure should be adjusted to make it happen. Fast-responsive peaker units need to be used more frequently to meet the increasing ramping requirements. Thus, the NV Energy system operational cost can increase. Index TermsSolar Generation, Renewables Integration, Balancing Process, Load Following, Regulation.

  11. Coso Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Power LLC. Since 1987, the field has produced more than 26,000 gigawatt hours (GWh) of electricity. The US Navy is the Surface Management Entity for four power plants at Coso:...

  12. 20K Hour GATEWAY Testing Results for I-35W Bridge Webinar

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy released a GATEWAY Demonstration report on the longer-term performance of an LED lighting system that was installed on the I-35W Bridge in Minneapolis in September 2008 and represents one of the country’s oldest continuously operated exterior LED lighting installations. Prior to installation, two of the LED luminaires were tested, along with a third luminaire that was not installed on the bridge but was tested for 6,000 hours in a laboratory for comparison purposes.

  13. Sub-Hourly Impacts of High Solar Penetrations in the Western United States: Preprint

    SciTech Connect (OSTI)

    Lew, D.; Brinkman, G.; Ibanez, E.; Hummon, M.; Hodge, B. M.; Heaney, M.; King, J.

    2012-09-01

    This paper presents results of analysis on the sub-hourly impacts of high solar penetrations from the Western Wind and Solar Integration Study Phase 2. Extreme event analysis showed that most large ramps were due to sunrise and sunset events, which have a significant predictability component. Variability in general was much higher in the high-solar versus high-wind scenario. Reserve methodologies that had already been developed for wind were therefore modified to take into account the predictability component of solar variability.

  14. Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing

    SciTech Connect (OSTI)

    Goldman, Chuck; Hopper, Nicole; Bharvirkar, Ranjit; Neenan,Bernie; Boisvert, Dick; Cappers, Peter; Pratt, Donna; Butkins, Kim

    2005-08-25

    Real-time pricing (RTP) has been advocated as an economically efficient means to send price signals to customers to promote demand response (DR) (Borenstein 2002, Borenstein 2005, Ruff 2002). However, limited information exists that can be used to judge how effectively RTP actually induces DR, particularly in the context of restructured electricity markets. This report describes the second phase of a study of how large, non-residential customers' adapted to default-service day-ahead hourly pricing. The customers are located in upstate New York and served under Niagara Mohawk, A National Grid Company (NMPC)'s SC-3A rate class. The SC-3A tariff is a type of RTP that provides firm, day-ahead notice of hourly varying prices indexed to New York Independent System Operator (NYISO) day-ahead market prices. The study was funded by the California Energy Commission (CEC)'s PIER program through the Demand Response Research Center (DRRC). NMPC's is the first and longest-running default-service RTP tariff implemented in the context of retail competition. The mix of NMPC's large customers exposed to day-ahead hourly prices is roughly 30% industrial, 25% commercial and 45% institutional. They have faced periods of high prices during the study period (2000-2004), thereby providing an opportunity to assess their response to volatile hourly prices. The nature of the SC-3A default service attracted competitive retailers offering a wide array of pricing and hedging options, and customers could also participate in demand response programs implemented by NYISO. The first phase of this study examined SC-3A customers' satisfaction, hedging choices and price response through in-depth customer market research and a Constant Elasticity of Substitution (CES) demand model (Goldman et al. 2004). This second phase was undertaken to answer questions that remained unresolved and to quantify price response to a higher level of granularity. We accomplished these objectives with a second customer survey and interview effort, which resulted in a higher, 76% response rate, and the adoption of the more flexible Generalized Leontief (GL) demand model, which allows us to analyze customer response under a range of conditions (e.g. at different nominal prices) and to determine the distribution of individual customers' response.

  15. SeizAlert could give patients 4.5 hour warning of seizure

    ScienceCinema (OSTI)

    Dr. Lee Hively and Kara Kruse

    2010-01-08

    One percent of Americans, 3 million people, suffer from epilepsy. And their lives are about to be dramatically changed by scientists at Oak Ridge National Laboratory. For 15 years, Dr. Lee Hively has been working on "SeizAlert", a seizure-detecting device that resembles a common PDA. "It allows us to analyze scalp brain waves and give us up to 4.5 hours' forewarning of that event," he said. With the help of partner Kara Kruse, he's now able to help patients predict the previously unpredictable.

  16. Webinar: 20K Hour GATEWAY Testing Results for I-35W Bridge | Department of

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

    Energy The U.S. Department of Energy has released a GATEWAY Demonstration report on the longer-term performance of an LED lighting system that was installed on the I-35W Bridge in Minneapolis in September 2008 and represents one of the country's oldest continuously operated exterior LED lighting installations. Prior to installation, two of the LED luminaires were tested, along with a third luminaire that was not installed on the bridge but was tested for 6,000 hours in a laboratory for

  17. Daily/Hourly Hydrosystem Operation : How the Columbia River System Responds to Short-Term Needs.

    SciTech Connect (OSTI)

    Columbia River System Operation Review

    1994-02-01

    The System Operation Review, being conducted by the Bonneville Power Administration, the US Army Corps of Engineers, and the US Bureau of Reclamation, is analyzing current and potential future operations of the Columbia River System. One goal of the System Operations Review is to develop a new System Operation Strategy. The strategy will be designed to balance the many regionally and nationally important uses of the Columbia River system. Short-term operations address the dynamics that affect the Northwest hydro system and its multiple uses. Demands for electrical power and natural streamflows change constantly and thus are not precisely predictable. Other uses of the hydro system have constantly changing needs, too, many of which can interfere with other uses. Project operators must address various river needs, physical limitations, weather, and streamflow conditions while maintaining the stability of the electric system and keeping your lights on. It takes staffing around the clock to manage the hour-to-hour changes that occur and the challenges that face project operators all the time.

  18. An overview of 3-D graphical analysis using DOE-2 hourly simulation data

    SciTech Connect (OSTI)

    Haberl, J.S.; MacDonald, M.; Eden, A.

    1988-01-01

    This paper presents an overview of a 3-D graphical approach for improving the potential of building energy analyses using the DOE-2 computer program. The approach produces 3-D annual profiles from hourly data generated by DOE-2 simulations using a statistical plotting package for specific quantities of interest. The annual profiles of hourly data provide a useful graphical check of voluminous data in a condensed form, allowing several different types of data to be plotted over a year. These profiles provide the user with the opportunity to check simulation results, check for potential problems with user input, provide graphs to customers who may want a simpler presentation, visualize interactions in simulations, and understand where inappropriate modeling conditions may exist in simulations. Future analysis, using such profiles, may allow methods to be developed to check consistency between simulations, check for potential hidden errors in modeling buildings, and better understand how simulations compare with data from real buildings. 22 refs., 23 figs., 1 tab.

  19. NV Energy Large-Scale Photovoltaic Integration Study: Intra-Hour Dispatch and AGC Simulation

    SciTech Connect (OSTI)

    Lu, Shuai; Etingov, Pavel V.; Meng, Da; Guo, Xinxin; Jin, Chunlian; Samaan, Nader A.

    2013-01-02

    The uncertainty and variability with photovoltaic (PV) generation make it very challenging to balance power system generation and load, especially under high penetration cases. Higher reserve requirements and more cycling of conventional generators are generally anticipated for large-scale PV integration. However, whether the existing generation fleet is flexible enough to handle the variations and how well the system can maintain its control performance are difficult to predict. The goal of this project is to develop a software program that can perform intra-hour dispatch and automatic generation control (AGC) simulation, by which the balancing operations of a system can be simulated to answer the questions posed above. The simulator, named Electric System Intra-Hour Operation Simulator (ESIOS), uses the NV Energy southern system as a study case, and models the systems generator configurations, AGC functions, and operator actions to balance system generation and load. Actual dispatch of AGC generators and control performance under various PV penetration levels can be predicted by running ESIOS. With data about the load, generation, and generator characteristics, ESIOS can perform similar simulations and assess variable generation integration impacts for other systems as well. This report describes the design of the simulator and presents the study results showing the PV impacts on NV Energy real-time operations.

  20. renewable energy certificates | OpenEI Community

    Open Energy Info (EERE)

    for Proposals rfp Deadline - July 31, 2014 The Defense Logistics Agency (DLA) RFP (Sol. SPE600-14-R-0415) seeking up to 830,843 megawatt-hours of renewable energy...

  1. REC | OpenEI Community

    Open Energy Info (EERE)

    for Proposals rfp Deadline - July 31, 2014 The Defense Logistics Agency (DLA) RFP (Sol. SPE600-14-R-0415) seeking up to 830,843 megawatt-hours of renewable energy...

  2. The Defense Logistics Agency (DLA) RFP - Deadline - July 31,...

    Open Energy Info (EERE)

    for Proposals rfp Deadline - July 31, 2014 The Defense Logistics Agency (DLA) RFP (Sol. SPE600-14-R-0415) seeking up to 830,843 megawatt-hours of renewable energy...

  3. rfp | OpenEI Community

    Open Energy Info (EERE)

    for Proposals rfp Deadline - July 31, 2014 The Defense Logistics Agency (DLA) RFP (Sol. SPE600-14-R-0415) seeking up to 830,843 megawatt-hours of renewable energy...

  4. OpenEI Community - rfp

    Open Energy Info (EERE)

    rel"nofollow">The Defense Logistics Agency (DLA) RFP (Sol. SPE600-14-R-0415) seeking up to 830,843 megawatt-hours of renewable energy...

  5. Jleyshon's blog | OpenEI Community

    Open Energy Info (EERE)

    for Proposals rfp Deadline - July 31, 2014 The Defense Logistics Agency (DLA) RFP (Sol. SPE600-14-R-0415) seeking up to 830,843 megawatt-hours of renewable energy...

  6. Request for Proposals | OpenEI Community

    Open Energy Info (EERE)

    for Proposals rfp Deadline - July 31, 2014 The Defense Logistics Agency (DLA) RFP (Sol. SPE600-14-R-0415) seeking up to 830,843 megawatt-hours of renewable energy...

  7. Performance of Blackglas{trademark} composites in 4000-hour oxidation study

    SciTech Connect (OSTI)

    Campbell, S.; Gonczy, S.; McNallan, M.; Cox, A.

    1996-12-31

    The effect of long term (4000 hour) oxidation on the mechanical properties of Blackglas{trademark}-Nitrided Nextel{trademark}312 Ceramic Matrix Composites in the temperature range of 500{degrees} - 700{degrees}C was investigated. Flexure specimens of the title composites prepared using three different pyrolysis processes were subjected to oxidation in flowing dry air at 500{degrees}, 600{degrees}C, and 700{degrees}C. Samples were removed at several different time intervals for 3-point flexure analysis. Results indicate that processing conditions had very little effect on the oxidation resistance of this system. At 600{degrees} and 700{degrees}C the mechanical properties degrade continuously to a steady value about half the original flexure strength. At 500{degrees}C, material properties initially improve then begin to slowly degrade. Optical microscopy indicates that oxidation of the matrix begins at the matrix/fiber interface and microcracks and proceeds into the bulk of the matrix.

  8. Table 7.7 Coal Mining Productivity, 1949-2011 (Short Tons per Employee Hour )

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

    Coal Mining Productivity, 1949-2011 (Short Tons per Employee Hour 1) Year Mining Method Location Total 2 Underground Surface 2 East of the Mississippi West of the Mississippi Underground Surface 2 Total 2 Underground Surface 2 Total 2 1949 0.68 [3] 1.92 [3] NA NA NA NA NA NA 0.72 1950 .72 [3] 1.96 [3] NA NA NA NA NA NA .76 1951 .76 [3] 2.00 [3] NA NA NA NA NA NA .80 1952 .80 [3] 2.10 [3] NA NA NA NA NA NA .84 1953 .88 [3] 2.22 [3] NA NA NA NA NA NA .93 1954 1.00 [3] 2.48 [3] NA NA NA NA NA NA

  9. BioenergizeME Office Hours Webinar: Guide to the 2016 BioenergizeME Infographic Challenge

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) BioenergizeME Infographic Challenge is an engaging way for students to explore topics in bioenergy and share what they have learned with others across the nation. In this challenge, high school-aged teams (grades 9–12) will use technology to research, interpret, apply, and then design an infographic that responds to one of four cross-curricular bioenergy topics. To make the challenge easier and more effective, this webinar is designed to guide interested students, teachers, and other educators through the submission process and highlight the resources that are available on the BioenergizeME Infographic Challenge website. These resources will assist students with researching their selected topics, developing their infographics, and designing effective social media campaigns. This webinar is part of the BioenergizeME Office Hours webinar series developed by the DOE Bioenergy Technologies Office.

  10. Three-Stage Production Cost Modeling Approach for Evaluating the Benefits of Intra-Hour Scheduling between Balancing Authorities

    SciTech Connect (OSTI)

    Samaan, Nader A.; Milligan, Michael; Hunsaker, Matthew; Guo, Tao

    2015-07-30

    This paper introduces a Production Cost Modeling (PCM) approach to evaluate the benefits of intra-hour scheduling between Balancing Authorities (BAs). The system operation is modeled in a three-stage sequential manner: day ahead (DA)-hour ahead (HA)-real time (RT). In addition to contingency reserve, each BA will need to carry out “up” and “down” load following and regulation reserve capacity requirements in the DA and HA time frames. In the real-time simulation, only contingency and regulation reserves are carried out as load following is deployed. To model current real-time operation with hourly schedules, a new constraint was introduced to force each BA net exchange schedule deviation from HA schedules to be within NERC ACE limits. Case studies that investigate the benefits of moving from hourly exchange schedules between WECC BAs into 10-min exchange schedules under two different levels of wind and solar penetration (11% and 33%) are presented.

  11. Workers at EM’s West Valley Site Surpass 1 Million Hours without Lost-Time Accident

    Broader source: Energy.gov [DOE]

    WEST VALLEY, N.Y. – EM’s cleanup contractor at the West Valley Demonstration Project (WVDP) recently marked 1 million work hours without a lost-time accident or illness.

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

    SciTech Connect (OSTI)

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

    2014-03-25

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

  13. ISDAC - NRC Convair-580 Flight Hours Date Flight From To Start

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

    - NRC Convair-580 Flight Hours Date Flight From To Start End hrs 03/21/08 F01-Test-01 Ottawa Ottawa 16:15Z 18:15Z 2.2 03/22/08 F02-Test-02 Ottawa Ottawa 12:45Z 15:50Z 3.3 03/28/08 F03-Transit-01 Ottawa, ON Kenora, ON 12:23Z 15:44Z 3.6 03/28/08 F04-Transit-02 Kenora, ON Calgary, AB 16:30Z 19:36Z 3.3 03/28/08 F05-Transit-03 Calgary, AB Comox, BC 20:24Z 22:17Z 2.1 03/29/08 F06-Transit-04 Comox, BC Whitehorse, YK 17:43Z 20:50Z 3.3 03/29/08 F07-Transit-05 Whitehorse, YK Fairbanks 21:51Z 23:42Z 2.1

  14. Job Code Description Hourly Wage TR-I Job Code TR I Wage TR-II Job

    National Nuclear Security Administration (NNSA)

    Wage TR-I Job Code TR I Wage TR-II Job Code TR II Wage TR-III Job Code TR III Wage Job Code Description Hourly Wage TR-I Job Code TR I Wage TR-II Job Code TR II Wage TR-III Job Code TR III Wage 56-HOUR TOUR Hourly Premiums TR-I 0.25 TR-II $0.50 TR-III $0.75 10-HOUR SHIFT Hourly Premiums TR-I $0.45 TR-II $0.90 TR-III $1.35 CIC $0.60 CIC $1.08 HAZ $0.81 HAZ $1.46 UD/BA $0.25 UD/BA $0.45 ELF $0.30 ELF $0.54 TR-I $0.25 TR-I $0.45 TR-II $0.50 TR-II $0.90 TR-III $0.75 TR-III $1.35 021450 Entry-Level

  15. PDSF Office Hours 1/23/14 from 2:30 to 4:00 pm at LBNL

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

    /23/14 from 2:30 to 4:00 pm at LBNL PDSF Office Hours 1/23/14 from 2:30 to 4:00 pm at LBNL January 22, 2014 PDSF office hours will be from 2:30 to 4:00 pm in 50B-2222 tomorrow. Subscribe via RSS Subscribe Browse by Date February 2014 January 2014 November 2013 October 2013 September 2013 August 2013 March 2012 February 2012 January 2012 October 2011 July 2011 May 2011 April 2011 March 2011 February 2011 January 2011 December 2010 Last edited: 2014-01-22 16:33:02

  16. Fluidized-bed combustion 1000-hour test program. Volume IV. Engineering details and post-test inspections

    SciTech Connect (OSTI)

    Roberts, A. G.; Barker, S. N.; Phillips, R. N.; Pillai, K. K.; Raven, P.; Wood, P.

    1981-09-01

    Volume IV of the report on the 1000 hour programme consists of three appendices giving details of the enginmering/construction aspects of the plant and reports from Stal-Laval Turbin A.B. Appendix N has been entered individually. (LTN)

  17. PDSF Office Hours 10/17/13 from 2:00 to 4:00 pm at LBNL

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

    0/17/13 from 2:00 to 4:00 pm at LBNL PDSF Office Hours 10/17/13 from 2:00 to 4:00 pm at LBNL October 7, 2013 I have biweekly office hours on Thursdays at LBNL. The next one is Thursday 10/17/13 from 2:00 - 4:00 pm in the NERSC drop in office at 050A-0143A (in the basement by the bus offices). Please feel free to stop by if you have any questions or want some hands on help with PDSF issues. Subscribe via RSS Subscribe Browse by Date February 2014 January 2014 November 2013 October 2013 September

  18. Hours of Duty

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

    Finance & Rates Involvement & Outreach Expand Involvement & Outreach Doing Business Expand Doing Business Skip navigation links Careers Find & Apply Benefits & New...

  19. Hours Available FY

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

    800 FY2016 1944 2016 2256 FY2017 3168 2017 3144 FY2018 3168 2018 3144 FY2019 3168 2019 3144 FY20120 3168 Turn on Outage Outage w/ IPF production Run Cycle Warm Stand by Sep Oct Nov Dec Proposed LANSCE Operating Schedule During Risk Mitigation Project 8-Jul-15 Jan Feb Mar Apr May Jun Jul Aug LANSCE-RM 201 RF Replacement Module 2 Sectors A/J HVAC LANSCE-RM 201 RF Replacement Module 3 LANSCE-RM 201 RF Replacement Module 4 Routine Maintenance BGS 7/8/2015 LA-UR-15-25395

  20. Intra-Hour Scheduling

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

    Expand Finance & Rates Involvement & Outreach Expand Involvement & Outreach Doing Business Expand Doing Business Skip navigation links Initiatives Columbia River Treaty Non...

  1. Hours Available FY

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

    992 FY2016 2784 2016 2232 FY2017 3600 2017 3720 FY2018 3744 2018 3720 FY2019 3744 2019 3720 FY20120 3744 Turn on Outage Outage w/ IPF production Run Cycle Warm Stand by Sep Oct Nov Dec Long Range LANSCE Operating Schedule 15-Dec-15 Jan Feb Mar Apr May Jun Jul Aug LANSCE-RM 201 RF Replacement Module 2 Sectors A/J HVAC LANSCE-RM 201 RF Replacement Module 3 LANSCE-RM 201 RF Replacement Module 4 Routine Maintenance BGS 12/23/2015 LA-UR-15-29688

  2. Hopper Hours Used

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

    90.2 06302015 3.446 93.6 06292015 3.399 92.3 06282015 3.406 92.5 06272015 3.403 92.4 06262015 3.359 91.2 06252015 3.402 92.4 06242015 3.463 94.1 06232015 3.484...

  3. Observed Temperature Effects on Hourly Residential Electric LoadReduction in Response to an Experimental Critical Peak PricingTariff

    SciTech Connect (OSTI)

    Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

    2005-11-14

    The goal of this investigation was to characterize themanual and automated response of residential customers to high-price"critical" events dispatched under critical peak pricing tariffs testedin the 2003-2004 California Statewide Pricing Pilot. The 15-monthexperimental tariff gave customers a discounted two-price time-of-userate on 430 days in exchange for 27 critical days, during which the peakperiod price (2 p.m. to 7 p.m.) was increased to about three times thenormal time-of-use peak price. We calculated response by five-degreetemperature bins as the difference between peak usage on normal andcritical weekdays. Results indicatedthat manual response to criticalperiods reached -0.23 kW per home (-13 percent) in hot weather(95-104.9oF), -0.03 kW per home (-4 percent) in mild weather (60-94.9oF),and -0.07 kW per home (-9 percent) during cold weather (50-59.9oF).Separately, we analyzed response enhanced by programmable communicatingthermostats in high-use homes with air-conditioning. Between 90oF and94.9oF, the response of this group reached -0.56 kW per home (-25percent) for five-hour critical periods and -0.89 kW/home (-41 percent)for two-hour critical periods.

  4. An Integrated Risk Framework for Gigawatt-scale Deployments of Renewable Energy: The U.S. Wind Energy Case

    SciTech Connect (OSTI)

    Ram, B.

    2010-04-01

    Assessing the potential environmental and human effects of deploying renewable wind energy requires a new way of evaluating potential environmental and human impacts. This paper explores an integrated risk framework for renewable wind energy siting decisionmaking.

  5. Integrated Risk Framework for Gigawatt-Scale Deployments of Renewable Energy: The U.S. Wind Energy Case; October 2009

    SciTech Connect (OSTI)

    Ram, B.

    2010-04-01

    Assessing the potential environmental and human effects of deploying renewable energy on private and public lands, along our coasts, on the Outer Continental Shelf (OCS), and in the Great Lakes requires a new way of evaluating potential environmental and human impacts. The author argues that deployment of renewables requires a framework risk paradigm that underpins effective future siting decisions and public policies.

  6. Simulation of a gigawatt level Ku-band overmoded Cerenkov type oscillator operated at low guiding magnetic field

    SciTech Connect (OSTI)

    Zhang, Hua; Shu, Ting Ju, Jinchuan; Wu, Dapeng

    2014-03-15

    We present the simulation results of a Ku-band overmoded Cerenkov type high power microwave oscillator. A guiding magnetic field as low as 0.6?T has been operated in the device. Overmoded slow wave structures with gradually tapered vanes are used in order to increase power capacity and the efficiency of beam-wave interaction. The drift cavity is adopted to enhance the beam-wave interaction of the device. After numerical optimization, the designed generator with an output microwave power of 1.2?GW, a frequency of 13.8 GHz, and a power conversion efficiency as high as 38% can be achieved, when the diode voltage and current are, respectively, 540?kV and 5.8?kA. The power compositions of TM{sub 0n} modes of the output microwave have been analyzed, the results of which show that TM{sub 01} mode takes over almost 95% of the power proportion.

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

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

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

  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

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

  9. ,"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"

  10. ,"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"

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

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

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

  12. Metabolic Engineering of Light and Dark Biochemical Pathways in Wild-Type and Mutant Strains of Synechocystis PCC 6803 for Maximal, 24-Hour Production of Hydrogen Gas

    SciTech Connect (OSTI)

    Ely, Roger L.; Chaplen, Frank W.R.

    2014-03-11

    This project used the cyanobacterial species Synechocystis PCC 6803 to pursue two lines of inquiry, with each line addressing one of the two main factors affecting hydrogen (H2) production in Synechocystis PCC 6803: NADPH availability and O2 sensitivity. H2 production in Synechocystis PCC 6803 requires a very high NADPH:NADP+ ratio, that is, the NADP pool must be highly reduced, which can be problematic because several metabolic pathways potentially can act to raise or lower NADPH levels. Also, though the [NiFe]-hydrogenase in PCC 6803 is constitutively expressed, it is reversibly inactivated at very low O2 concentrations. Largely because of this O2 sensitivity and the requirement for high NADPH levels, a major portion of overall H2 production occurs under anoxic conditions in the dark, supported by breakdown of glycogen or other organic substrates accumulated during photosynthesis. Also, other factors, such as N or S limitation, pH changes, presence of other substances, or deletion of particular respiratory components, can affect light or dark H2 production. Therefore, in the first line of inquiry, under a number of culture conditions with wild type (WT) Synechocystis PCC 6803 cells and a mutant with impaired type I NADPH-dehydrogenase (NDH-1) function, we used H2 production profiling and metabolic flux analysis, with and without specific inhibitors, to examine systematically the pathways involved in light and dark H2 production. Results from this work provided rational bases for metabolic engineering to maximize photobiological H2 production on a 24-hour basis. In the second line of inquiry, we used site-directed mutagenesis to create mutants with hydrogenase enzymes exhibiting greater O2 tolerance. The research addressed the following four tasks: 1. Evaluate the effects of various culture conditions (N, S, or P limitation; light/dark; pH; exogenous organic carbon) on H2 production profiles of WT cells and an NDH-1 mutant; 2. Conduct metabolic flux analyses for enhanced H2 production profiles using selected culture conditions and inhibitors of specific pathways in WT cells and an NDH-1 mutant; 3. Create Synechocystis PCC 6803 mutant strains with modified hydrogenases exhibiting increased O2 tolerance and greater H2 production; and 4. Integrate enhanced hydrogenase mutants and culture and metabolic factor studies to maximize 24-hour H2 production.

  13. Respiratory effects of two-hour exposure with intermittent exercise to ozone, sulfur dioxide and nitrogen dioxide alone and in combination in normal subjects

    SciTech Connect (OSTI)

    Kagawa, J.

    1983-01-01

    Seven adult male healthy volunteer subjects were exposed to 0.15 ppm each of O/sub 3/, SO/sub 2/ and NO/sub 2/ alone and in combination, with intermittent light exercise for two hours. Three of the 7 subjects developed cough during deep inspiration and one subject had chest pain during exposure to O/sub 3/ alone. Among the various indices of pulmonary function tests, specific airway conductane (G/sub aw//V/sub tg/) was the most sensitive index to examine the changes produced by the exposure to O/sub 3/ and other pollutants. Significant decrease of G/sub aw//V/sub tg/ in comparison with control measurements was observed in 6 of 7 subjects during exposure to O/sub 3/ alone, and in all subjects during exposures to the mixture of O/sub 3/ and other pollutants. However, no significant enhancement of effect was observed in the mixture of O/sub 3/ and other pollutants, although a slightly greater decrease of airway resistance/volume of thoracic gas (G/sub aw//V/sub tg/) was observed for the mixture of O/sub 3/ and other pollutants than for O/sub 3/ alone.

  14. U.S. Renewable Energy Technical Potentials. A GIS-Based Analysis

    SciTech Connect (OSTI)

    Lopez, Anthony; Roberts, Billy; Heimiller, Donna; Blair, Nate; Porro, Gian

    2012-07-01

    This report presents the state-level results of a spatial analysis effort calculating energy technical potential, reported in square kilometers of available land, megawatts of capacity, and gigawatt-hours of generation, for six different renewable technologies. For this analysis, the system specific power density (or equivalent), efficiency (capacity factor), and land-use constraints were identified for each technology using independent research, published research, and professional contacts. This report also presents technical potential findings from previous reports.

  15. U.S. Renewable Energy Technical Potentials: A GIS-Based Analysis

    SciTech Connect (OSTI)

    Lopez, A.; Roberts, B.; Heimiller, D.; Blair, N.; Porro, G.

    2012-07-01

    This report presents the state-level results of a spatial analysis effort calculating energy technical potential, reported in square kilometers of available land, megawatts of capacity, and gigawatt-hours of generation, for six different renewable technologies. For this analysis, the system specific power density (or equivalent), efficiency (capacity factor), and land-use constraints were identified for each technology using independent research, published research, and professional contacts. This report also presents technical potential findings from previous reports.

  16. Advanced Petroleum-Based Fuels - Diesel Emissions Project (APBF-DEC): 2,000-Hour Performance of a NOx Adsorber Catalyst and Diesel Particle Filter System for a Medium-Duty, Pick-Up Diesel Engine Platform; Final Report

    SciTech Connect (OSTI)

    Not Available

    2007-03-01

    Presents the results of a 2,000-hour test of an emissions control system consisting of a nitrogen oxides adsorber catalyst in combination with a diesel particle filter, advanced fuels, and advanced engine controls in an SUV/pick-up truck vehicle platform.

  17. Lithium-Polysulfide Flow Battery Demonstration

    SciTech Connect (OSTI)

    Zheng, Wesley

    2014-06-30

    In this video, Stanford graduate student Wesley Zheng demonstrates the new low-cost, long-lived flow battery he helped create. The researchers created this miniature system using simple glassware. Adding a lithium polysulfide solution to the flask immediately produces electricity that lights an LED. A utility version of the new battery would be scaled up to store many megawatt-hours of energy.

  18. PowerPoint Presentation

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

    Programs & Project Management Division Tulsa District 14 June 2011 Webbers Falls and Ozark Powerhouse Major Rehabilitation Briefing for 2011 Southwestern Federal Hydropower Conference BUILDING STRONG ® 2 McClellan-Kerr Navigation Project Webbers Falls BUILDING STRONG ® * Run of River Plants * Webbers - 69 MW from three inclined axis units (23 MW each) which were placed in service in 1973. Average annual energy production is 213,000 Megawatt-hours. * Ozark - 115 MW from five inclined axis

  19. Lithium-Polysulfide Flow Battery Demonstration

    ScienceCinema (OSTI)

    Zheng, Wesley

    2014-07-16

    In this video, Stanford graduate student Wesley Zheng demonstrates the new low-cost, long-lived flow battery he helped create. The researchers created this miniature system using simple glassware. Adding a lithium polysulfide solution to the flask immediately produces electricity that lights an LED. A utility version of the new battery would be scaled up to store many megawatt-hours of energy.

  20. Two-gigawatt burst-mode operation of the intense microwave prototype (IMP) free-electron laser (FEL) for the microwave tokamak experiment (MTX)

    SciTech Connect (OSTI)

    Felker, B.; Allen, S.; Bell, H.

    1993-10-06

    The MTX explored the plasma heating effects of 140 GHz microwaves from both Gyrotrons and from the IMP FEL wiggler. The Gyrotron was long pulse length (0.5 seconds maximum) and the FEL produced short-pulse length, high-peak power, single and burst modes of 140 GHZ microwaves. Full-power operations of the IMP FEL wiggler were commenced in April of 1992 and continued into October of 1992. The Experimental Test Accelerator H (ETA-II) provided a 50-nanosecond, 6-MeV, 2--3 kAmp electron beam that was introduced co-linear into the IMP FEL with a 140 GHz Gyrotron master oscillator (MO). The FEL was able to amplify the MO signal from approximately 7 kW to peaks consistently in the range of 1--2 GW. This microwave pulse was transmitted into the MTX and allowed the exploration of the linear and non-linear effects of short pulse, intense power in the MTX plasma. Single pulses were used to explore and gain operating experience in the parameter space of the IMP FEL, and finally evaluate transmission and absorption in the MTX. Single-pulse operations were repeatable. After the MTX was shut down burst-mode operations were successful at 2 kHz. This paper will describe the IMP FEL, Microwave Transmission System to MTX, the diagnostics used for calorimetric measurements, and the operations of the entire Microwave system. A discussion of correlated and uncorrelated errors that affect FEL performance will be made Linear and non-linear absorption data of the microwaves in the MTX plasma will be presented.

  1. LED Solutions for the Dark Hours

    Energy Savers [EERE]

    technologies 5 LEDs for Street and Roadway Lighting Portland, OR Philadelphia, PA New York, NY Kansas City, MO 6 Boston Las Vegas Seattle Number of LED Replacements to Date (4...

  2. Property:OperatingHours | Open Energy Information

    Open Energy Info (EERE)

    B Blundell 1 Geothermal Facility + 8,587 + Blundell 2 Geothermal Facility + 7,883 + R Raft River Geothermal Facility + 8,338 + Retrieved from "http:en.openei.orgw...

  3. Bradbury Science Museum announces winter opening hours

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

    These include research in such areas as clean energy and energy security, climate change, supercomputing, nuclear non-proliferation, pandemic modeling, environmental...

  4. Final Scientific/Technical Report to the U.S. Department of Energy on NOVA's Einstein's Big Idea (Project title: E-mc2, A Two-Hour Television Program on NOVA)

    SciTech Connect (OSTI)

    Susanne Simpson

    2007-05-07

    Executive Summary A woman in the early 1700s who became one of Europes leading interpreters of mathematics and a poor bookbinder who became one of the giants of nineteenth-century science are just two of the pioneers whose stories NOVA explored in Einsteins Big Idea. This two-hour documentary premiered on PBS in October 2005 and is based on the best-selling book by David Bodanis, E=mc2: A Biography of the Worlds Most Famous Equation. The film and book chronicle the scientific challenges and discoveries leading up to Einsteins startling conclusion that mass and energy are one, related by the formula E = mc2.

  5. International Voluntary Renewable Energy Markets (Presentation)

    SciTech Connect (OSTI)

    Heeter, J.

    2012-06-01

    This presentation provides an overview of international voluntary renewable energy markets, with a focus on the United States and Europe. The voluntary renewable energy market is the market in which consumers and institutions purchase renewable energy to match their electricity needs on a voluntary basis. In 2010, the U.S. voluntary market was estimated at 35 terawatt-hours (TWh) compared to 300 TWh in the European market, though key differences exist. On a customer basis, Australia has historically had the largest number of customers, pricing for voluntary certificates remains low, at less than $1 megawatt-hour, though prices depend on technology.

  6. Designing an ultrasupercritical steam turbine

    SciTech Connect (OSTI)

    Klotz, H.; Davis, K.; Pickering, E.

    2009-07-15

    Carbon emissions produced by the combustion of coal may be collected and stored in the future, but a better approach is to reduce the carbon produced through efficient combustion technologies. Increasing the efficiency of new plants using ultrasupercritical (USC) technology will net less carbon released per megawatt-hour using the world's abundant coal reserves while producing electricity at the lowest possible cost. The article shows how increasing the steam turbine operating conditions for a new USC project in the USA and quantify the potential CO{sub 2} reduction this advanced design makes possible. 7 figs., 3 tabs.

  7. Nellis Air Force Base solar array provides model for renewable projects

    Broader source: Energy.gov [DOE]

    A public-private partnership has helped one Air Force base reduce its energy costs and convert to 25 percent renewable energy. Nellis Air Force Base, just north of Las Vegas, took a big step in 2007 when it installed a 14.2-megawatt, 70,000-panel photovoltaic solar array that reduced carbon dioxide emissions by 24,000 tons a year. Built partly on a landfill, the field of solar panels takes advantage of two resources plentiful in Nevada: sunshine and empty land. At its unveiling in December of 2007, the Nellis array was the largest solar panel installation in North America. The project was originally expected to produce about 30,000 megawatt-hours of electricity per year, but Steven Dumont, Air Combat Command Energy Manager, says its actually producing closer to 32,000 megawatt-hours, which is about 8 percent above expectations. Despite this success, Dumont said he nearly didnt pursue the project.

  8. Technology disrupted

    SciTech Connect (OSTI)

    Papatheodorou, Y.

    2007-02-15

    Three years ago, the author presented a report on power generation technologies which in summary said 'no technology available today has the potential of becoming transformational or disruptive in the next five to ten years'. In 2006 the company completed another strategic view research report covering the electric power, oil, gas and unconventional energy industries and manufacturing industry. This article summarises the strategic view findings and then revisits some of the scenarios presented in 2003. The cost per megawatt-hour of the alternatives is given for plants ordered in 2005 and then in 2025. The issue of greenhouse gas regulation is dealt with through carbon sequestration and carbon allowances or an equivalent carbon tax. Results reveal substantial variability through nuclear power, hydro, wind, geothermal and biomass remain competitive through every scenario. Greenhouse gas scenario analysis shows coal still be viable, albeit less competitive against nuclear and renewable technologies. A carbon tax or allowance at $24 per metric ton has the same effect on IGCC cost as a sequestration mandate. However, the latter would hurt gas plants much more than a tax or allowance. Sequestering CO{sub 2} from a gas plant is almost as costly per megawatt-hour as for coal. 5 refs., 5 figs., 5 tabs.

  9. DOE Awards Over a Billion Supercomputing Hours to Address Scientific...

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

    devices Climate change, featuring projects to improve climate models, understand global warming, study the effects of turbulence in oceans, and simulate clouds on a global...

  10. DOE's Office of Science Awards 95 Million Hours of Supercomputing...

    Energy Savers [EERE]

    ... cars, improving commercial aircraft design, advancing fusion energy, studying ... Laboratory in California, and the Molecular Science Computing Facility at Pacific ...

  11. DOE's Office of Science Awards 18 Million Hours of Supercomputing...

    Office of Environmental Management (EM)

    Projects to be supported by INCITE in the coming year include: the design of more efficient aircraft and engines learning more about the molecular basis of Parkinson's Disease ...

  12. DOE Awards 265 Million Hours of Supercomputing Time to Advance...

    Office of Environmental Management (EM)

    Laboratory in California, and the Molecular Science Computing Facility at Pacific ... and simulating combustion chemistry to design cleaner, more efficient energy systems. ...

  13. Oak Ridge: Approaching 4 Million Safe Work Hours | Department...

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

    can safely complete their tasks Mike Tidwell performs a leak check and inspection on propane tanks Inspections ensure hoisting and rigging equipment performs correctly so...

  14. 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.

  15. DOE Awards Over a Billion Supercomputing Hours to Address Scientific...

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

    in oceans, and simulate clouds on a global scale Biology, including understanding protein membranes to improve drug discovery, diagnostics and better treatment of diseases. ...

  16. Commercial and Residential Hourly Load Profiles for all TMY3...

    Open Energy Info (EERE)

    Software Sectors Buildings washarvested true Package Relationships Relationship Dataset License CC0 1.0 Open Data Author Office of Energy Efficiency & Renewable Energy (EERE)...

  17. Calibrating hourly rainfall-runoff models with daily forcings...

    Office of Scientific and Technical Information (OSTI)

    Cite: Chicago Format Close Bibtex Cite: Bibtex Format Close Export Metadata EndNote Excel CSV XML Save Share this Record Send to Email Send to Email Email address:...

  18. Pay and Leave Administration and Hours of Duty

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2012-05-10

    Proposed revision to one paragraph of the Order to satisfy an action item in the Office of the Inspector General's FY 11 Audit Report of DOE's Consolidated Financial Statements.

  19. Commercial and Residential Hourly Load Data Now Available on...

    Open Energy Info (EERE)

    Login to post comments Russmach32 Russmach321 year 8 weeks ago Validation of dataset Hello, in the description of this dataset it states that these load profiles are simulated....

  20. BioenergizeME Office Hours Webinar: Integrating Bioenergy into...

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

    0, 2015 4:00PM to 4:45PM EST Online Biofuel is the only viable substitute for petroleum-based liquid transportation fuel in the near term. It is, therefore, increasingly relevant ...

  1. 2015 Hour of Code Video | Argonne National Laboratory

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

    --Photosynthesis & biomimetics -Materials science --Complex oxides --Nanoscience --Materials simulation & theory --Surface & interface studies --Tribology -Mathematics,...

  2. Center for Nanophase Materials Sciences (CNMS) - Hours & Scheduling

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

    made in advance. 2016 ORNL Holiday Schedule New Year's Day Friday, January 1 Martin Luther King Jr.'s Birthday Monday, January 18 Good Friday (Easter) Friday, March 25 Memorial...

  3. Sandia Energy - SSLS Coffee/Dessert Hour Calendar of Topics

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

    Aoril 13, 2011 Jeff Tsao PCN Colloquium: Sandia's Energy Frontier Research Center for Solid-State Lighting Science April 21, 2011 Randy Creighton and Greg Nielson 2:00-3:30p...

  4. After-hours, weekend changes through East Jemez road vehicle...

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

    bicyclists must stop at the center lane guard post and proceed only upon verbal or hand-signal direction from a LANL protective force officer. Orange traffic safety cones will be...

  5. Potential for Photovoltaic Solar Installation in Non-Irrigated Corners of Center Pivot Irrigation Fields in the State of Colorado

    SciTech Connect (OSTI)

    Roberts, B.

    2011-07-01

    The State of Colorado expressed an interest in assessing the potential for photovoltaic (PV) solar installations on non-irrigated corners of center-pivot irrigation (CPI) fields throughout the state. Using aerial imagery and irrigated land data available from the Colorado Water Conservation Board, an assessment of potentially suitable sites was produced. Productivity estimates were calculated from that assessment. The total area of non-irrigated corners of CPI fields in Colorado was estimated to be 314,674 acres, which could yield 223,418 acres of installed PV panels assuming 71% coverage in triangular plots. The total potential annual electricity production for the state was estimated to be 56,821 gigawatt hours (GWH), with an average of 1.3 GWH per available plot.

  6. Hawaii Clean Energy Initiative Existing Building Energy Efficiency Analysis: November 17, 2009 - June 30, 2010

    SciTech Connect (OSTI)

    Finch, P.; Potes, A.

    2010-06-01

    In June 2009, the State of Hawaii enacted an Energy Efficiency Portfolio Standard (EEPS) with a target of 4,300 gigawatt hours (GWh) by 2030 (Hawaii 2009). Upon setting this goal, the Hawaii Clean Energy Initiative, Booz Allen Hamilton (BAH), and the National Renewable Energy Laboratory (NREL), working with select local stakeholders, partnered to execute the first key step toward attaining the EEPS goal: the creation of a high-resolution roadmap outlining key areas of potential electricity savings. This roadmap was divided into two core elements: savings from new construction and savings from existing buildings. BAH focused primarily on the existing building analysis, while NREL focused on new construction forecasting. This report presents the results of the Booz Allen Hamilton study on the existing building stock of Hawaii, along with conclusions on the key drivers of potential energy efficiency savings and on the steps necessary to attain them.

  7. Status and Trends in the U.S. Voluntary Green Power Market (2013 Data)

    SciTech Connect (OSTI)

    Heeter, J.; Belyeu, K.; Kuskova-Burns, K.

    2014-11-01

    Voluntary green power markets are those in which consumers and institutions voluntarily purchase renewable energy to match their electricity needs. This report surveys utilities, competitive suppliers, renewable energy certificate (REC) marketers, and, for the first time, the community choice aggregation market. This report finds that the voluntary market totaled 62 million megawatt-hours in 2013. Approximately 5.4 million customers are purchasing green power. This report presents data and analysis on voluntary market sales and customer participation, products and premiums, green pricing marketing, and administrative expenses. The report also details trends in REC tracking systems, REC pricing in voluntary and compliance markets, community and crowd-funded solar, and interest in renewable energy by the information and communication technologies sector.

  8. Energy Department Announces $3 Million to Identify New Geothermal...

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

    in geothermal energy projects and significantly lower the costs of geothermal energy. The U.S. Geological Survey estimates that 30 gigawatts of undiscovered hydrothermal energy...

  9. SMR LTS Program Studies and Analyses and Outcomes/Results | Department...

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

    ... with correspondingly smaller dose to workers and the public. ... investment decisions, informing government loan-guarantee ... significant transfer of knowledge from the gigawatt ...

  10. U.S. Energy Information Administration

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

    capacity and net electricity generation from nuclear power. ... Information Administration (EIA) an additional 11 gigawatts (GW) of wind projects with expected completion dates in 2015...

  11. Annual Energy Outlook 2015 - Appendix A

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

    20 Reference case Table A9. Electricity generating capacity (gigawatts) Energy Information Administration Annual Energy Outlook 2015 Table A9. Electricity generating capacity ...

  12. Proposed Rule To Implement the 1997 8-Hour Ozone National Ambient Air Quality Standard: Revision on Subpart 1 Area Reclassification and Anti-Backsliding Provisions Under Former 1-Hour Ozone Standard; Proposed Deletion of Obsolete 1-Hour Ozone Standard Provision

    National Nuclear Security Administration (NNSA)

    VerDate Nov<24>2008 16:08 Feb 11, 2009 Jkt 217001 PO 00000 Frm 00026 Fmt 4702 Sfmt 4702 E:\FR\FM\12FEP1.SGM 12FEP1 mstockstill on PROD1PC66 with PROPOSALS Federal Register / Vol. 74, No. 28 / Thursday, February 12, 2009 / Proposed Rules 7027 section will be closed to all vessels whenever environmental conditions exceed the operational limitations of the relevant Coast Guard search and rescue resources as determined by the COTP. When a bar is closed, the operation of any vessel in the

  13. ,"Net Energy For Load (Annual)",,"Contiguous U.S. ","Eastern...

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

    b. Historical Net Energy For Load, Actual by North American Electric Reliability Corporation Region, 2005 through 2009. " ,"(Thousands of Megawatthours)" ,"Net Energy For Load ...

  14. SAS Output

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

    1. Electric Power Industry - Electricity Purchases, 2003 through 2013 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers Combined...

  15. SAS Output

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

    2. Electric Power Industry - Electricity Sales for Resale, 2003 through 2013 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers...

  16. SAS Output

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

    8. Net Generation from Petroleum Liquids by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities...

  17. SAS Output

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

    7. Net Generation from Coal by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent...

  18. SAS Output

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

    1. Net Generation from Other Gases by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities...

  19. SAS Output

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

    9. Net Generation from Petroleum Coke by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities...

  20. SAS Output

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

    0. Net Generation from Natural Gas by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities...

  1. Table 3. Top five retailers of electricity, with end use sectors...

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

    Maine" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"NextEra Energy Power Marketing","Investor-owned",19844...

  2. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    . Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2009 and Projected 2010 through 2014" ,"(Thousands of Megawatthours and...

  3. net_energy_load_1990_2004.xls

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

    for this table format Table 1a . Historical Net Energy For Load, Actual by North American Electric Reliability Council Region, 1990 through 2004. (Thousands of Megawatthours)...

  4. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2008 through 2012 " ,"(Thousands of Megawatthours and...

  5. Alertness, performance and off-duty sleep on 8-hour and 12-hour night shifts in a simulated continuous operations control room setting

    SciTech Connect (OSTI)

    Baker, T.L.

    1995-04-01

    A growing number of nuclear power plants in the United States have adopted routine 12-hr shift schedules. Because of the potential impact that extended work shifts could have on safe and efficient power plant operation, the U.S. Nuclear Regulatory Commission funded research on 8-hr and 12-hr shifts at the Human Alertness Research Center (HARC) in Boston, Massachusetts. This report describes the research undertaken: a study of simulated 8-hr and 12-hr work shifts that compares alertness, speed, and accuracy at responding to simulator alarms, and relative cognitive performance, self-rated mood and vigor, and sleep-wake patterns of 8-hr versus 12-hr shift workers.

  6. Hourly Simulation of Grid-Connected PV Systems Using Realistic Building Loads (Preprint)

    SciTech Connect (OSTI)

    Balcomb, J.D.; Hayter, S.J.; Weaver, N.L.

    2001-02-27

    This is one of two companion papers that describe the ENERGY-10 PV design tool computer simulation program. The other paper is titled ''ENERGY-10 Photovoltaics: A New Capability.'' Whereas this paper focuses on the PV aspects of the program, the companion paper focuses on the implementation method. The case study in this paper is a commercial building application, whereas the case study in the companion paper is a residential application with an entirely different building load characteristic. Together they provide a balanced view.

  7. 100 Hour test of the pressurized woodchip-fired gravel bed combustor

    SciTech Connect (OSTI)

    Ragland, K.W.; Aerts, D.J.

    1994-08-01

    Combustion of wood chips in a packed bed combustor for a gas turbine cogeneration system is described. A discussion on flue gas emissions and mass balances is included.

  8. 100 Hour test of the pressurized woodchip-fired gravel bed combustor

    SciTech Connect (OSTI)

    Ragland, K.W.; Aerts, D.J.

    1992-08-01

    In this project a downdraft, packed bed combustor for a gas turbine cogeneration system using woodchips is being developed. The combustor is designed to promote intense combustion in a thin reaction zone and to control particulate growth by using high excess air. The combustor contains a magnesia and alumina gravel bed on top of which woodchips are fed. The following test objectives were established for the 100 hr test: (a) demonstrate preliminary durability of the combustor; (b) demonstrate steady operation of the system; (c) investigate combustor pressure drop; (d) investigate bed ash cake buildup; (e) expose metal alloy coupons for corrosion examination; (f) obtain closure within 10% on mass and energy balances; and (g) obtain emissions data. The plan for the 100 hr test was to operate the combustor at the following conditions: day 1, 4 atm (absolute) pressure and 700--800 C outlet temperature; day 2, 4 atm pressure and 800--900 C outlet temperature; day 3, 5 atm pressure and 800--900 C outlet temperature; days 4 and 5, repeat day 3. The inlet air was not preheated. The paper gives test results and discusses fuel characterization, combustor performance, mass and energy balance, emissions, composition of ash and deposits, and metal coupons representing turbine blade material.

  9. Use of DAC-Hours for Radiation Work Permit Suspension Guides...

    Office of Scientific and Technical Information (OSTI)

    on Intake) that would result in defined estimated dose to a worker, knowing only the DAC value does not allow a worker's potential dose to be determined. Recently, the Savannah...

  10. Hourly Wage and Fringe Benefit Rates FY16 WAGE SUPPLEMENT Issued...

    National Nuclear Security Administration (NNSA)

    795.49 Employee) (previous employee portion 617.41, 416.15, 430.82, 270.22) Pension 7.00 7.00 Vacation 0.00 0.00 ApprenticeTraining 0.31 0.31 MONTHLY UNION DUES: 2 x...

  11. Job Code Description Hourly Wage TR-I Job Code TR I Wage TR-II

    National Nuclear Security Administration (NNSA)

    Senior Fire Inspector 47.21 Fringe Benefits H&W (Co - 425, Emp - 615) 1040 month Pension 6.50hr Firefighter Wages - Effective 120115 Tech Rescue Wages Firefighter Wages -...

  12. Job Code Description Hourly Wage TR-I Job Code TR I Wage TR-II

    National Nuclear Security Administration (NNSA)

    Senior Fire Inspector 47.75 Fringe Benefits H&W (Co - 425, Emp - 565) 990.00 mo Pension 5.96hr Firefighter Wages - Effective 100115 Tech Rescue Wages Firefighter Wages -...

  13. Development of a simple 5-15 litre per hour LNG refueling system

    SciTech Connect (OSTI)

    Corless, A.J.; Sarangi, S.; Hall, J.L.; Barclay, J.A.

    1994-12-31

    A variable capacity, small-scale liquefied natural gas (LNG) refueling system has been designed, built, and tested at the Cryofuel Systems` Laboratory, University of Victoria, Canada. The system, designed to continuously liquefy between 5 and 15 litres of NG, utilizes liquid nitrogen (LN{sub 2}) as its cold source and contains most of the components found in a typical commercial refueling system; i.e. purification system, liquefier, LNG storage, automatic control and monitoring system. This paper describes the design of the system as well as the results of a set of LNG production trials. The performance of the system exceeded expected LNG production rates, but at levels of efficiency somewhat less than predicted. Cryofuel Systems expects to use this system to implement an LNG vehicle demonstration program and to gain experience in the integration of LNG refueling systems which exploit advanced liquefaction technology such as magnetic refrigeration.

  14. Solar Reserve Methodology for Renewable Energy Integration Studies Based on Sub-Hourly Variability Analysis: Preprint

    SciTech Connect (OSTI)

    Ibanez, E.; Brinkman, G.; Hummon, M.; Lew, D.

    2012-08-01

    Increasing penetrations of wind a solar energy are raising concerns among electric system operators because of the variability and uncertainty associated with power sources. Previous work focused on the quantification of reserves for systems with wind power. This paper presents a new methodology that allows the determination of necessary reserves for high penetrations of photovoltaic (PV) power and compares it to the wind-based methodology. The solar reserve methodology is applied to Phase 2 of the Western Wind and Solar Integration Study. A summary of the results is included.

  15. Moab Project Logs 2 Million Work Hours Without Lost-Time Injury...

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

    Remedial Action Project, it represents the number of days without a work-related, lost-time injury or illness, as defined by the Occupational Safety and Health Administration....

  16. Fuel Cell Stacks Still Going Strong After 5,000 Hours | Department...

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

    ... today's average U.S.-based coal-fired power plant--while separating at least 90 percent ... improvement in cell design and materials for better performance and reduction of cost. ...

  17. Workers at EM's West Valley Site Surpass 1 Million Hours without...

    Office of Environmental Management (EM)

    years without a lost-time accident. Portsmouth Site Plant Surpasses Five Years Without Lost-Time Accident Workers load an overpack container into a vertical storage cask. EM's...

  18. Hacking Away at Soft Costs: 24-Hour Coding Event Focuses on Expanding...

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

    solar energy. | Photo by Dennis Schroeder, National Renewable Energy Laboratory Minh Le Minh Le Deputy Director, Solar Energy Technologies Office Since the launch of the SunShot ...

  19. Is the hourly data from the NREL PV Watts program adjusted for...

    Open Energy Info (EERE)

    it is stated, "No adjustments are made for leap years or daylight savings time." Hope this helps. Pgray on 1 July, 2014 - 07:04 Points: 0 Thank you. I appreciate the help....

  20. Use of DAC-Hours for Radiation Work Permit Suspension Guides...

    Office of Scientific and Technical Information (OSTI)

    Conversely, if the task consisted of several small or ongoing releases, such as with welding or grinding, to where the air activity was just under the suspension guide until 2...

  1. DOE Publishes 20K Hour Testing Results for 2008 GATEWAY Bridge...

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

    an LED lighting system that was installed on the I-35W Bridge in Minneapolis in September 2008 and represents one of the country's oldest continuously operated exterior LED ...

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

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

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

  3. Moab Project Logs 2 Million Work Hours Without Lost-Time Injury or Illness

    Broader source: Energy.gov [DOE]

    GRAND JUNCTION, Colo. – The number 1,584 may not mean much to most people, but for the workers on EM’s Moab Uranium Mill Tailings Remedial Action Project, it represents the number of days without a work-related, lost-time injury or illness, as defined by the Occupational Safety and Health Administration.

  4. Intra-Hour Dispatch and Automatic Generator Control Demonstration with Solar Forecasting

    Broader source: Energy.gov [DOE]

    The University of California at San Diego (UCSD) is leading a project that will reduce power system operation cost by providing a prediction of the generation fleet's behavior in real time for...

  5. BioenergizeME Office Hours Webinar: Guide to the 2016 BioenergizeME Infographic Challenge

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy's Bioenergy Technologies Office (BETO) is hosting the Guide to the 2016 BioenergizeME Infographic Challenge webinar on Oct. 15, 2015, from 4 p.m. to 4:45 p.m. Eastern...

  6. Microsoft PowerPoint - 2_THOMAS_MORELLO_NMMSS_2014_Powerpoint_hour.ppt [Compatibility Mode]

    National Nuclear Security Administration (NNSA)

    Details on the SFAQ submission to the NRC, the SFAQ process and expected future actions involving the SFAQ submission Thomas Morello Exelon SFAQ  During the 2012 NMMSS meeting, several issues were presented by the licensees. They were: -Inspection/Inspector consistency -"All" versus "reportable quantity" 2 SFAQ  First Step... - Meeting held with Paul Peduzzi (NRC), Ron Albert (NRC), Andrew Mauer (NEI) and Tom Morello ( then CENG) in October of 2012. - The issues from

  7. Slide 1

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

    Estimated amount of power for an exascale system using today's x86 processors, equivalent to the maximum output of the Hoover Dam. DATA: U.S. Dept. of Energy 2 GIGAWATTS GPU <200 ...

  8. Enhanced Geothermal Systems (EGS)- the Future of Geothermal Energy

    Office of Energy Efficiency and Renewable Energy (EERE)

    While the amount of conventional hydrothermal power worldwide has reached nearly 12 gigawatts, exponentially more geothermal resources can be accessed through next-generation technologies known as enhanced geothermal systems (EGS).

  9. New Stream-Reach Hydropower Development (NSD) Fact Sheet

    SciTech Connect (OSTI)

    2014-04-25

    This fact sheet explores the more than 65 gigawatts (GW) of sustainable hydropower potential in U.S. stream-reaches, according to the hydropower resource assessment funded by DOE and executed by Oak Ridge National Laboratory.

  10. FORGE, 2015 Peer Review Plenary | Department of Energy

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

    this effort with five years could be market-ready advances in large-scale, reproducible EGS systems generating on the order of 100 - 500 gigawatts of electricity. download the...

  11. Huge Potential for Hydropower: Assessment Highlights New Possible Clean Energy Sources

    Broader source: Energy.gov [DOE]

    The Energy Department’s New Stream-reach Development Assessment, conducted by Oak Ridge National Laboratory, has identified more than 65 gigawatts of untapped sustainable hydropower potential in U.S. rivers and streams.

  12. Quiz: Test Your Wind Energy IQ | Department of Energy

    Energy Savers [EERE]

    wind capacity in the U.S. is nearing 1 gigawatt. | Energy Department photo. 13. How many offshore wind farms are there in the U.S.? 5 2 12 0 The Energy Department's Wind Program...

  13. Secretary Moniz's Remarks at the 2014 White House Solar Summit...

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

    to government period, that I certainly am very bullish on the future of solar. We can talk about numbers, like nearly 5 gigawatts total of solar technologies installation in...

  14. Benjamin Phillips | Department of Energy

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

    Benjamin Phillips About Us Benjamin Phillips - SRA International Most Recent Q&A: FORGE-ing Ahead to Clean, Low-Cost Geothermal Energy July 17 Gigawatts of Geothermal: JASON Study Highlights Huge Potential for EGS February 21

  15. Electricity Generation | Department of Energy

    Office of Environmental Management (EM)

    Electricity Generation Electricity Generation The United States of America continues to generate the most geothermal electricity in the world: more than 3.5 gigawatts, predominantly from the western United States. That's enough to power about three and half million homes! Pictured above, the Raft River geothermal plant is located in Idaho. Source: Geothermal Resources Council The United States of America continues to generate the most geothermal electricity in the world: more than 3.5 gigawatts,

  16. Energy-Efficiency and Air-Pollutant Emissions-Reduction Opportunities for the Ammonia Industry in China

    SciTech Connect (OSTI)

    Ma, Ding; Hasanbeigi, Ali; Chen, Wenying

    2015-06-01

    As one of the most energy-intensive and polluting industries, ammonia production is responsible for significant carbon dioxide (CO2) and air-pollutant emissions. Although many energy-efficiency measures have been proposed by the Chinese government to mitigate greenhouse gas emissions and improve air quality, lack of understanding of the cost-effectiveness of such improvements has been a barrier to implementing these measures. Assessing the costs, benefits, and cost-effectiveness of different energy-efficiency measures is essential to advancing this understanding. In this study, a bottom-up energy conservation supply curve model is developed to estimate the potential for energy savings and emissions reductions from 26 energy-efficiency measures that could be applied in China’s ammonia industry. Cost-effective implementation of these measures saves a potential 271.5 petajoules/year for fuel and 5,443 gigawatt-hours/year for electricity, equal to 14% of fuel and 14% of electricity consumed in China’s ammonia industry in 2012. These reductions could mitigate 26.7 million tonnes of CO2 emissions. This study also quantifies the co-benefits of reducing air-pollutant emissions and water use that would result from saving energy in China’s ammonia industry. This quantitative analysis advances our understanding of the cost-effectiveness of energy-efficiency measures and can be used to augment efforts to reduce energy use and environmental impacts.

  17. Variability of Power from Large-Scale Solar Photovoltaic Scenarios in the State of Gujarat: Preprint

    SciTech Connect (OSTI)

    Parsons, B.; Hummon, M.; Cochran, J.; Stoltenberg, B.; Batra, P.; Mehta, B.; Patel, D.

    2014-04-01

    India has ambitious goals for high utilization of variable renewable power from wind and solar, and deployment has been proceeding at a rapid pace. The western state of Gujarat currently has the largest amount of solar generation of any Indian state, with over 855 Megawatts direct current (MWDC). Combined with over 3,240 MW of wind, variable generation renewables comprise nearly 18% of the electric-generating capacity in the state. A new historic 10-kilometer (km) gridded solar radiation data set capturing hourly insolation values for 2002-2011 is available for India. We apply an established method for downscaling hourly irradiance data to one-minute irradiance data at potential PV power production locations for one year, 2006. The objective of this report is to characterize the intra-hour variability of existing and planned photovoltaic solar power generation in the state of Gujarat (a total of 1.9 gigawatts direct current (GWDC)), and of five possible expansion scenarios of solar generation that reflect a range of geographic diversity (each scenario totals 500-1,000 MW of additional solar capacity). The report statistically analyzes one year's worth of power variability data, applied to both the baseline and expansion scenarios, to evaluate diurnal and seasonal power fluctuations, different timescales of variability (e.g., from one to 15 minutes), the magnitude of variability (both total megawatts and relative to installed solar capacity), and the extent to which the variability can be anticipated in advance. The paper also examines how Gujarat Energy Transmission Corporation (GETCO) and the Gujarat State Load Dispatch Centre (SLDC) could make use of the solar variability profiles in grid operations and planning.

  18. Variability of Power from Large-Scale Solar Photovoltaic Scenarios in the State of Gujarat (Presentation)

    SciTech Connect (OSTI)

    Parsons, B.; Hummon, M.; Cochran, J.; Stoltenberg, B.; Batra, P.; Mehta, B.; Patel, D.

    2014-04-01

    India has ambitious goals for high utilization of variable renewable power from wind and solar, and deployment has been proceeding at a rapid pace. The western state of Gujarat currently has the largest amount of solar generation of any Indian state, with over 855 Megawatts direct current (MWDC). Combined with over 3,240 MW of wind, variable generation renewables comprise nearly 18% of the electric-generating capacity in the state. A new historic 10-kilometer (km) gridded solar radiation data set capturing hourly insolation values for 2002-2011 is available for India. We apply an established method for downscaling hourly irradiance data to one-minute irradiance data at potential PV power production locations for one year, 2006. The objective of this report is to characterize the intra-hour variability of existing and planned photovoltaic solar power generation in the state of Gujarat (a total of 1.9 gigawatts direct current (GWDC)), and of five possible expansion scenarios of solar generation that reflect a range of geographic diversity (each scenario totals 500-1,000 MW of additional solar capacity). The report statistically analyzes one year's worth of power variability data, applied to both the baseline and expansion scenarios, to evaluate diurnal and seasonal power fluctuations, different timescales of variability (e.g., from one to 15 minutes), the magnitude of variability (both total megawatts and relative to installed solar capacity), and the extent to which the variability can be anticipated in advance. The paper also examines how Gujarat Energy Transmission Corporation (GETCO) and the Gujarat State Load Dispatch Centre (SLDC) could make use of the solar variability profiles in grid operations and planning.

  19. Variability of Photovoltaic Power in the State of Gujarat Using High Resolution Solar Data

    SciTech Connect (OSTI)

    Hummon, M.; Cochran, J.; Weekley, A.; Lopez, A.; Zhang, J.; Stoltenberg, B.; Parsons, B.; Batra, P.; Mehta, B.; Patel, D.

    2014-03-01

    India has ambitious goals for high utilization of variable renewable power from wind and solar, and deployment has been proceeding at a rapid pace. The western state of Gujarat currently has the largest amount of solar generation of any Indian state, with over 855 Megawatts direct current (MWDC). Combined with over 3,240 MW of wind, variable generation renewables comprise nearly 18% of the electric-generating capacity in the state. A new historic 10-kilometer (km) gridded solar radiation data set capturing hourly insolation values for 2002-2011 is available for India. We apply an established method for downscaling hourly irradiance data to one-minute irradiance data at potential PV power production locations for one year, 2006. The objective of this report is to characterize the intra-hour variability of existing and planned photovoltaic solar power generation in the state of Gujarat (a total of 1.9 gigawatts direct current (GWDC)), and of five possible expansion scenarios of solar generation that reflect a range of geographic diversity (each scenario totals 500-1,000 MW of additional solar capacity). The report statistically analyzes one year's worth of power variability data, applied to both the baseline and expansion scenarios, to evaluate diurnal and seasonal power fluctuations, different timescales of variability (e.g., from one to 15 minutes), the magnitude of variability (both total megawatts and relative to installed solar capacity), and the extent to which the variability can be anticipated in advance. The paper also examines how Gujarat Energy Transmission Corporation (GETCO) and the Gujarat State Load Dispatch Centre (SLDC) could make use of the solar variability profiles in grid operations and planning.

  20. 2014 Utility Bundled Retail Sales- Transportation

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

    Entity State Ownership Customers (Count) Sales (Megawatthours) Revenues (Thousands Dollars) Average Price (centskWh) City of North Little Rock - (AR) AR Municipal 1 345 40.0 11.59 ...

  1. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    3 and Projected 2004 through 2008 " ,"(Thousands of Megawatthours and 2003 Base Year)" ,"Net Energy For Load (Annual)",,"Contiguous U.S. ","Eastern Power Grid",,,"Texas Power...

  2. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    4 and Projected 2005 through 2009 " ,"(Thousands of Megawatthours and 2004 Base Year)" ,"Net Energy For Load (Annual)",,"Contiguous U.S. ","Eastern Power Grid",,,"Texas Power...

  3. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    2005 and Projected 2006 through 2010 " ,"(Thousands of Megawatthours and 2005 Base Year)" ,"Net Energy For Load (Annual)",,"Contiguous U.S. ","Eastern Power Grid",,,,,,"Texas Power...

  4. Can Deployment of Renewable Energy and Energy Efficiency PutDownward Pressure on Natural Gas Prices

    SciTech Connect (OSTI)

    Wiser, Ryan; Bolinger, Mark

    2005-06-01

    High and volatile natural gas prices have increasingly led to calls for investments in renewable energy and energy efficiency. One line of argument is that deployment of these resources may lead to reductions in the demand for and price of natural gas. Many recent U.S.-based modeling studies have demonstrated that this effect could provide significant consumer savings. In this article we evaluate these studies, and benchmark their findings against economic theory, other modeling results, and a limited empirical literature. We find that many uncertainties remain regarding the absolute magnitude of this effect, and that the reduction in natural gas prices may not represent an increase in aggregate economic wealth. Nonetheless, we conclude that many of the studies of the impact of renewable energy and energy efficiency on natural gas prices appear to have represented this effect within reason, given current knowledge. These studies specifically suggest that a 1% reduction in U.S. natural gas demand could lead to long-term average wellhead price reductions of 0.8% to 2%, and that each megawatt-hour of renewable energy and energy efficiency may benefit natural gas consumers to the tune of at least $7.5 to $20.

  5. Brighter Future: A Study on Solar in U.S. Schools

    Office of Energy Efficiency and Renewable Energy (EERE)

    In a first-of-its-kind report tracking the use of solar energy at K-12 schools in the United States, The Solar Foundation has developed the most comprehensive understanding to date of how schools are using and financing solar energy and the potential for still more schools to benefit from the technology. According to the report, there are currently 3,752 K-12 schools with solar installations, meaning nearly 2.7 million students attend schools with solar energy systems. These PV systems have a combined capacity of 490 megawatts (MW), and generate roughly 642,000 megawatt-hours (MWh) of electricity each year, equivalent to $77.8 million worth of utility bills and enough clean, renewable energy to offset 50 million gallons of gasoline. Solar potential on schools remains largely untapped. Of the 125,000 K-12 schools in the country, up to 72,000 schools (60%) can "go solar" cost-effectively. Approximately 450 individual schools districts have the potential to save more than $1 million over 30 years by installing a solar PV system.

  6. 24-hour human urine and serum profiles of Bisphenol A following ingestion in soup: Individual pharmacokinetic data and emographics

    SciTech Connect (OSTI)

    Teeguarden, Justin G.; Twaddle, Nathan C.; Churchwell, Mona I.; Yang, Xiaoxia; Fisher, Jeffrey W.; Seryak, Liesel M.; Doerge, Daniel R.

    2015-09-01

    Here we present data to evaluate potential absorption of Bisphenol A through non-metabolizing tissues of the upper digestive tract. Concurrent serum and urine concentrations of d6-BPA, and its glucuronide and sulfate conjugates, were measured over a 24 h period in 10 adult male volunteers following ingestion of 30 ?g d6-BPA/kg body weight in soup. The pharmacokinetic behavior of BPA and its metabolites in this cohort (rapid absorption, complete elimination, evidence against sublingual absorption) was reported. This Data in Brief article contains the corresponding individual pharmacokinetic data, reports the demographics of the cohort and provides additional details related to the analytical methods employed and is related to [4].

  7. 24-hour human urine and serum profiles of Bisphenol A following ingestion in soup: Individual pharmacokinetic data and emographics

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

    Teeguarden, Justin G.; Twaddle, Nathan C.; Churchwell, Mona I.; Yang, Xiaoxia; Fisher, Jeffrey W.; Seryak, Liesel M.; Doerge, Daniel R.

    2015-09-01

    Here we present data to evaluate potential absorption of Bisphenol A through non-metabolizing tissues of the upper digestive tract. Concurrent serum and urine concentrations of d6-BPA, and its glucuronide and sulfate conjugates, were measured over a 24 h period in 10 adult male volunteers following ingestion of 30 μg d6-BPA/kg body weight in soup. The pharmacokinetic behavior of BPA and its metabolites in this cohort (rapid absorption, complete elimination, evidence against sublingual absorption) was reported. This Data in Brief article contains the corresponding individual pharmacokinetic data, reports the demographics of the cohort and provides additional details related to the analyticalmore » methods employed and is related to [4].« less

  8. Pain Levels Within 24 Hours After UFE: A Comparison of Morphine and Fentanyl Patient-Controlled Analgesia

    SciTech Connect (OSTI)

    Kim, Hyun S. Czuczman, Gregory J.; Nicholson, Wanda K.; Pham, Luu D.; Richman, Jeffrey M.

    2008-11-15

    The purpose of this study was to assess the presence and severity of pain levels during 24 h after uterine fibroid embolization (UFE) for symptomatic leiomyomata and compare the effectiveness and adverse effects of morphine patient-controlled analgesia (PCA) versus fentanyl PCA. We carried out a prospective, nonrandomized study of 200 consecutive women who received UFE and morphine or fentanyl PCA after UFE. Pain perception levels were obtained on a 0-10 scale for the 24-h period after UFE. Linear regression methods were used to determine pain trends and differences in pain trends between two groups and the association between pain scores and patient covariates. One hundred eighty-five patients (92.5%) reported greater-than-baseline pain after UFE, and 198 patients (99%) required IV opioid PCA. One hundred thirty-six patients (68.0%) developed nausea during the 24-h period. Seventy-two patients (36%) received morphine PCA and 128 (64%) received fentanyl PCA, without demographic differences. The mean dose of morphine used was 33.8 {+-} 26.7 mg, while the mean dose of fentanyl was 698.7 {+-} 537.4 {mu}g. Using this regimen, patients who received morphine PCA had significantly lower pain levels than those who received fentanyl PCA (p < 0.0001). We conclude that patients develop pain requiring IV opioid PCA within 24 h after UFE. Morphine PCA is more effective in reducing post-uterine artery embolization pain than fentanyl PCA. Nausea is a significant adverse effect from opioid PCA.

  9. Pulmonary function and symptom responses after 6. 6-hour exposure to 0. 12-ppm ozone with moderate exercise (journal version)

    SciTech Connect (OSTI)

    Folinsbee, L.J.; Horstman, D.H.; McDonnell, W.F.

    1988-01-01

    Episodes occasionally occur when ambient ozone (O/sub 3/) levels remain at or near 0.12 ppm for more than 6 h. The hypothesis that prolonged exposure to 0.12 ppm O/sub 3/ would result in progressively larger changes in respiratory function and symptoms over time was tested. Ten nonsmoking males (18-35 yr) were exposed once to clear air (CA) and once to 0.12 pp, O/sub 3/ for 6.75 h. Exposures consisted of six 50-min exercise periods, each followed by 10-min rest and measurement; a 45-min lunch period followed the third exercise period. Exercise ventilation averaged approximately 40 1/min. Forced expiratory and inspiratory spirometry and respiratory symptoms were measured prior to exposure and after each exercise. Increases in the symptom ratings of cough and pain on deep inspiration were observed with O/sub 3/ exposure but not with CA. Airway reactivity to methacholine was approximately doubled following O/sub 3/ exposure. Spirometry results indicate that prolonged exposure to 0.12 ppm O/sub 3/ results in a marked increase in non-specific airway reactivity and progressive changes in respiratory function.

  10. Pulmonary function and symptom responses after 6. 6-hour exposure to 0. 12 ppm ozone with moderate exercise

    SciTech Connect (OSTI)

    Folinsbee, L.J.; McDonnell, W.F.; Horstman, D.H.

    1988-01-01

    Episodes occasionally occur when ambient ozone (O/sub 3/) levels remain at or near 0.12 ppm for more than 6 h. Small decrements in lung function have been reported following 2-h exposures to 0.12 ppm O/sub 3/. For short exposures to higher O/sub 3/ concentrations, lung function decrements are a function of exposure duration. Thus, we investigated the hypothesis that prolonged exposure to 0.12 ppm O/sub 3/ would result in progressively larger changes in respiratory function and symptoms over time. Ten nonsmoking males were exposed once to clean air and once to 0.12 ppm O/sub 3/ for 6.6 h. Exposures consisted of six 50-min exercise periods, each followed by 10-min rest and measurement; a 35-min lunch period followed by the third exercise period. Exercise ventilation averaged approximately 40 L/min. Forced expiratory and inspiratory spirometry and respiratory symptoms were measured prior to exposure and after each exercise. Airway reactivity to methacholine was determined after each exposure. After correcting for the air exposures, FEV 1.0 was found to decrease linearly during the O/sub 3/ exposure and was decreased by an average of 13.0 percent at the end of exposure. Decreases in FVC and FEF24-75% were also linear and averaged 8.3 and 17.4 percent, respectively, at the end of exposure. On forced inspiratory tests, the FIVC and FIV05 were decreased 12.6 and 20.7 percent, respectively. Increases in the symptom ratings of cough and pain on deep inspiration were observed with O/sub 3/ exposure but not with clean air. Airway reactivity to methacholine was approximately doubled following O/sub 3/ exposure.

  11. ENERGY STAR Webinar: Ask the Expert: Office Hours on Mid-Year Review of Portfolio Manager Enhancement

    Broader source: Energy.gov [DOE]

    Hosted by the U.S. Environmental Protection Agency's (EPA's) ENERGY STAR, this webinar gives all users an opportunity to ask questions directly to EPA experts in an open forum. There will be an...

  12. Water Power for a Clean Energy Future (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-03-01

    This fact sheet provides an overview of the U.S. Department of Energy's Wind and Water Power Program's water power research activities. Water power is the nation's largest source of clean, domestic, renewable energy. Harnessing energy from rivers, manmade waterways, and oceans to generate electricity for the nation's homes and businesses can help secure America's energy future. Water power technologies fall into two broad categories: conventional hydropower and marine and hydrokinetic technologies. Conventional hydropower facilities include run-of-the-river, storage, and pumped storage. Most conventional hydropower plants use a diversion structure, such as a dam, to capture water's potential energy via a turbine for electricity generation. Marine and hydrokinetic technologies obtain energy from waves, tides, ocean currents, free-flowing rivers, streams and ocean thermal gradients to generate electricity. The United States has abundant water power resources, enough to meet a large portion of the nation's electricity demand. Conventional hydropower generated 257 million megawatt-hours (MWh) of electricity in 2010 and provides 6-7% of all electricity in the United States. According to preliminary estimates from the Electric Power Resource Institute (EPRI), the United States has additional water power resource potential of more than 85,000 megawatts (MW). This resource potential includes making efficiency upgrades to existing hydroelectric facilities, developing new low-impact facilities, and using abundant marine and hydrokinetic energy resources. EPRI research suggests that ocean wave and in-stream tidal energy production potential is equal to about 10% of present U.S. electricity consumption (about 400 terrawatt-hours per year). The greatest of these resources is wave energy, with the most potential in Hawaii, Alaska, and the Pacific Northwest. The Department of Energy's (DOE's) Water Power Program works with industry, universities, other federal agencies, and DOE's national laboratories to promote the development and deployment of technologies capable of generating environmentally sustainable and cost-effective electricity from the nation's water resources.

  13. Sensitivity Analysis of Offshore Wind Cost of Energy (Poster)

    SciTech Connect (OSTI)

    Dykes, K.; Ning, A.; Graf, P.; Scott, G.; Damiami, R.; Hand, M.; Meadows, R.; Musial, W.; Moriarty, P.; Veers, P.

    2012-10-01

    No matter the source, offshore wind energy plant cost estimates are significantly higher than for land-based projects. For instance, a National Renewable Energy Laboratory (NREL) review on the 2010 cost of wind energy found baseline cost estimates for onshore wind energy systems to be 71 dollars per megawatt-hour ($/MWh), versus 225 $/MWh for offshore systems. There are many ways that innovation can be used to reduce the high costs of offshore wind energy. However, the use of such innovation impacts the cost of energy because of the highly coupled nature of the system. For example, the deployment of multimegawatt turbines can reduce the number of turbines, thereby reducing the operation and maintenance (O&M) costs associated with vessel acquisition and use. On the other hand, larger turbines may require more specialized vessels and infrastructure to perform the same operations, which could result in higher costs. To better understand the full impact of a design decision on offshore wind energy system performance and cost, a system analysis approach is needed. In 2011-2012, NREL began development of a wind energy systems engineering software tool to support offshore wind energy system analysis. The tool combines engineering and cost models to represent an entire offshore wind energy plant and to perform system cost sensitivity analysis and optimization. Initial results were collected by applying the tool to conduct a sensitivity analysis on a baseline offshore wind energy system using 5-MW and 6-MW NREL reference turbines. Results included information on rotor diameter, hub height, power rating, and maximum allowable tip speeds.

  14. Fuel Sulfur Effects on a Medium-Duty Diesel Pick-Up with a NOx Adsorber, Diesel Particle Filter Emissions Control System: 2000-Hour Aging Results

    SciTech Connect (OSTI)

    Thornton, M.; Webb, C. C.; Weber, P. A.; Orban, J.; Slone, E.

    2006-05-01

    Discusses the emission results of a nitrogen oxide adsorber catalyst and a diesel particle filter in a medium-duty, diesel pick-up truck.

  15. More Than 410,000 Hours of Real-World Fuel Cell System Operation Have Been Analyzed by NREL's Technology Validation Team (Fact Sheet)

    SciTech Connect (OSTI)

    Kurtz, J.; Wipke, K.; Sprik, S.; Ramsden, T.

    2011-02-01

    This fact sheet discusses how researchers at the National Renewable Energy Laboratory (NREL) are working to validate hydrogen and fuel cell systems in real-world settings. NREL strives to provide an independent third-party technology assessment that focuses on fuel cell system and hydrogen infrastructure performance, operation, maintenance, and safety.

  16. SunShot’s National Laboratory Projects Target Grid Integration Challenges

    Broader source: Energy.gov [DOE]

    National Laboratories are tackling systems integration challenges through the SunShot National Laboratory Multiyear Partnership (SuNLaMP) funding program. These research and development projects will enable hundreds of gigawatts of solar energy to be integrated reliably and cost-effectively onto the U.S. electric power grid.

  17. Combined Heat and Power: A Clean Energy Solution, August 2012

    SciTech Connect (OSTI)

    2012-08-30

    This paper provides a foundation for national discussions on effective ways to reach the 40 gigawatts (GW) target, and includes an overview of the key issues currently impacting CHP deployment and the factors that need to be considered by stakeholders participating in the dialogue.

  18. Utilities Bringing More Solar Energy to Families and Businesses

    Broader source: Energy.gov [DOE]

    The SunShot Initiative works with utilities to help generate, integrate, and distribute solar energy. EERE recently announced $18 million in funding for projects with utilities, potentially allowing hundreds of gigawatts of solar energy to be added to the grid.

  19. How old are U.S. power plants?

    Reports and Publications (EIA)

    2011-01-01

    The current fleet of electric power generators has a wide range of ages. About 530 gigawatts, or 51% of all generating capacity, were at least 30 years old at the end of 2010. Trends in generating capacity additions vary by fuel type, for coal, hydropower, natural gas, nuclear, petroleum, and wind.

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Net Generation from Renewable Sources: Total (All Sectors), 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Net Generation from Renewable Sources: Electric Utilities, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3.B. Net Generation from Renewable Sources: Independent Power Producers, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. Net Generation by Energy Source: Commercial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric and Solar Hydroelectric Pumped Storage Other Total Generation at Utility Scale Facilities Estimated Distributed Solar

  4. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. Net Generation by Energy Source: Industrial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric and Solar Hydroelectric Pumped Storage Other Total Generation at Utility Scale Facilities Estimated Distributed Solar

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Net Generation from Renewable Sources: Industrial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  6. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Alabama" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  7. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Arkansas" "megawatthours" "item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  8. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Alaska" " megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  9. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Arizona" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  10. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    California" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  11. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Colorado" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  12. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Connecticut" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  13. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Florida" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  14. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Georgia" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  15. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Hawaii" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  16. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Idaho" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  17. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Illinois" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  18. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Indiana" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  19. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Iowa" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  20. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Kansas" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  1. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Kentucky" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  2. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Louisiana" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  3. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Massachusetts" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  4. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Michigan" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  5. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Minnesota" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  6. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Mississippi" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  7. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Missouri" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  8. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Montana" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  9. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Nebraska" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  10. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Nevada" " megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  11. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Hampshire" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  12. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Jersey" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  13. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Mexico" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  14. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    York" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  15. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Carolina" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  16. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Dakota" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  17. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Ohio" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  18. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Oklahoma" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  19. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Oregon" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  20. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Pennsylvania" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  1. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Carolina" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  2. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Dakota" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  3. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Tennessee" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  4. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Texas" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  5. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Utah" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  6. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Vermont" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  7. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Virginia" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  8. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Washington" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  9. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    West Virginia" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  10. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Wisconsin" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  11. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    Wyoming" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  12. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    United States" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Supply",,,,,,,,,,,,,,,,,,,,,,,, "Generation",,,,,,,,,,,,,,,,,,,,,,,, " Electric

  13. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Alaska" "megawatthours" "item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  14. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Arizona" "megawatthours" "item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  15. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    California" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  16. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Colorado" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  17. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Connecticut" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  18. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Delaware" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  19. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Florida" "megawatthours" "item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  20. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Georgia" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  1. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Hawaii" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  2. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Idaho" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  3. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Illinois" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  4. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Indiana" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  5. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Iowa" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  6. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Kansas" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  7. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Kentucky" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  8. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Louisiana" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  9. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Maryland" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  10. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Massachusetts" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  11. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Michigan" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  12. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Minnesota" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  13. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Mississippi" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  14. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Missouri" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  15. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Montana" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  16. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Nebraska" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  17. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Nevada" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  18. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Hampshire" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  19. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Jersey" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  20. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Mexico" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  1. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    York" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  2. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Carolina" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  3. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Dakota" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  4. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Ohio" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  5. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Oklahoma" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  6. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Oregon" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  7. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Pennsylvania" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  8. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Carolina" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  9. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Dakota" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  10. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Tennessee" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  11. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Texas" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  12. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Utah" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  13. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Vermont" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  14. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Viriginia" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  15. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Washington" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  16. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    West Virginia" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  17. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Wisconsin" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  18. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    Wyoming" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  19. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    United States" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2013" "Electric

  20. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through

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

    Mexico" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail Sales (megawatthours)",,,,,,,,,,,,,,,,,,,,,,,,," "," "," "

  1. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Alaska" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  2. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Arizona" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  3. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    California" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  4. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Colorado" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  5. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Connecticut" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  6. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Delaware" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  7. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    District of Columbia" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  8. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Florida" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  9. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Georgia" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  10. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Hawaii" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  11. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Idaho" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  12. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Illinois" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  13. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Indiana" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  14. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Iowa" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  15. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Kansas" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  16. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Kentucky" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  17. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Louisiana" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  18. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Maine" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  19. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Maryland" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  20. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Massachusetts" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  1. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Michigan" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  2. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Minnesota" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  3. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Mississippi" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  4. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Missouri" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  5. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Montana" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  6. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Nebraska" "Sector",, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  7. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Nevada" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  8. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Hampshire" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  9. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Jersey" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  10. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    York" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  11. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Carolina" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  12. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Dakota" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  13. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Ohio" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  14. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Oklahoma" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  15. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Oregon" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  16. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Pennsylvania" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  17. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Rhode Island" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  18. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Carolina" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  19. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Dakota" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  20. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Tennessee" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  1. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Texas" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  2. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Utah" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  3. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Vermont" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  4. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Virginia" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  5. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Washington" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  6. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    West Virginia" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  7. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Wisconsin" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  8. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    Wyoming" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  9. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    United States" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  10. Analysis of Energy-Efficiency Opportunities for the Cement Industry in Shandong Province, China

    SciTech Connect (OSTI)

    Price, Lynn; Hasanbeigi, Ali; Lu, Hongyou; Wang, Lan

    2009-10-01

    China's cement industry, which produced 1,388 million metric tons (Mt) of cement in 2008, accounts for almost half of the world's total cement production. Nearly 40% of China's cement production is from relatively obsolete vertical shaft kiln (VSK) cement plants, with the remainder from more modern rotary kiln cement plants, including plants equipped with new suspension pre-heater and pre-calciner (NSP) kilns. Shandong Province is the largest cement-producing Province in China, producing 10% of China's total cement output in 2008. This report documents an analysis of the potential to improve the energy efficiency of NSP kiln cement plants in Shandong Province. Sixteen NSP kiln cement plants were surveyed regarding their cement production, energy consumption, and current adoption of 34 energy-efficient technologies and measures. Plant energy use was compared to both domestic (Chinese) and international best practice using the Benchmarking and Energy Saving Tool for Cement (BEST-Cement). This benchmarking exercise indicated an average technical potential primary energy savings of 12% would be possible if the surveyed plants operated at domestic best practice levels in terms of energy use per ton of cement produced. Average technical potential primary energy savings of 23% would be realized if the plants operated at international best practice levels. Energy conservation supply curves for both fuel and electricity savings were then constructed for the 16 surveyed plants. Using the bottom-up electricity conservation supply curve model, the cost-effective electricity efficiency potential for the studied cement plants in 2008 is estimated to be 373 gigawatt hours (GWh), which accounts for 16% of total electricity use in the 16 surveyed cement plants in 2008. Total technical electricity-saving potential is 915 GWh, which accounts for 40% of total electricity use in the studied plants in 2008. The fuel conservation supply curve model shows the total technical fuel efficiency potential equal to 7,949 terajoules (TJ), accounting for 8% of total fuel used in the studied cement plants in 2008. All the fuel efficiency potential is shown to be cost effective. Carbon dioxide (CO{sub 2}) emission reduction potential associated with cost-effective electricity saving is 383 kiloton (kt) CO{sub 2}, while total technical potential for CO{sub 2} emission reduction from electricity-saving is 940 ktCO{sub 2}. The CO{sub 2} emission reduction potentials associated with fuel-saving potentials is 950 ktCO{sub 2}.

  11. 20% Wind Energy - Diversifying Our Energy Portfolio and Addressing Climate Change (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2008-05-01

    This brochure describes the R&D efforts needed for wind energy to meet 20% of the U.S. electrical demand by 2030. In May 2008, DOE published its report, 20% Wind Energy by 2030, which presents an in-depth analysis of the potential for wind energy in the United States and outlines a potential scenario to boost wind electric generation from its current production of 16.8 gigawatts (GW) to 304 GW by 2030. According to the report, achieving 20% wind energy by 2030 could help address climate change by reducing electric sector carbon dioxide (CO2) emissions by 825 million metric tons (20% of the electric utility sector CO2 emissions if no new wind is installed by 2030), and it will enhance our nation's energy security by diversifying our electricity portfolio as wind energy is an indigenous energy source with stable prices not subject to fuel volatility. According to the report, increasing our nation's wind generation could also boost local rural economies and contribute to significant growth in manufacturing and the industry supply chain. Rural economies will benefit from a substantial increase in land use payments, tax benefits and the number of well-paying jobs created by the wind energy manufacturing, construction, and maintenance industries. Although the initial capital costs of implementing the 20% wind scenario would be higher than other generation sources, according to the report, wind energy offers lower ongoing energy costs than conventional generation power plants for operations, maintenance, and fuel. The 20% scenario could require an incremental investment of as little as $43 billion (net present value) more than a base-case no new wind scenario. This would represent less than 0.06 cent (6 one-hundredths of 1 cent) per kilowatt-hour of total generation by 2030, or roughly 50 cents per month per household. The report concludes that while achieving the 20% wind scenario is technically achievable, it will require enhanced transmission infrastructure, streamlined siting and permitting regimes, improved reliability and operability of wind systems, and increased U.S. wind manufacturing capacity. To meet these challenges, the DOE Wind Energy Program will continue to work with industry partners to increase wind energy system reliability and operability and improve manufacturing processes. The program also conducts research to address transmission and grid integration issues, to better understand wind resources, to mitigate siting and environmental issues, to provide information to industry stakeholders and policy makers, and to educate the future generations.

  12. Southwest Region Experiment Station - Final Technical Report

    SciTech Connect (OSTI)

    Rosenthal, A

    2011-08-19

    Southwest Technology Development Institute (SWTDI), an independent, university-based research institute, has been the operator of the Southwest Region Photovoltaic Experiment Station (SWRES) for almost 30 years. The overarching mission of SWTDI is to position PV systems and solar technologies to become cost-effective, major sources of energy for the United States. Embedded in SWTDI's general mission has been the more-focused mission of the SWRES: to provide value added technical support to the DOE Solar Energy Technologies Program (SETP) to effectively and efficiently meet the R&D needs and targets specified in the SETP Multi-Year Technical Plan. : The DOE/SETP goals of growing U.S. PV manufacturing into giga-watt capacities and seeing tera-watt-hours of solar energy production in the U.S. require an infrastructure that is under development. The staff of the SWRES has supported DOE/SETP through a coherent, integrated program to address infrastructural needs inhibiting wide-scale PV deployment in three major technical categories: specialized engineering services, workforce development, and deployment facilitation. The SWRES contract underwent three major revisions during its five year period-of- performance, but all tasks and deliverables fell within the following task areas: Task 1: PV Systems Assistance Center 1. Develop a Comprehensive multi-year plan 2. Provide technical workforce development materials and workshops for PV stakeholder groups including university, professional installers, inspectors, state energy offices, Federal agencies 3. Serve on the NABCEP exam committee 4. Provide on-demand technical PV system design reviews for U.S. PV stakeholders 5. Provide PV system field testing and instrumentation, technical outreach (including extensive support for the DOE Market Transformation program) Task 2: Design-for-Manufacture PV Systems 1. Develop and install 18 kW parking carport (cost share) and PV-thermal carport (Albuquerque) deriving and publishing lessons learned Task 3: PV Codes and Standards 1. Serve as the national lead for development and preparation of all proposals (related to PV) to the National Electrical Code 2. Participate in the Standards Technical Panels for modules (UL1703) and inverters (UL1741) Task 4: Assess Inverter Long Term Reliability 1. Install and monitor identical inverters at SWRES and SERES 2. Operate and monitor all inverters for 5 years, characterizing all failures and performance trends Task 5: Test and Evaluation Support for Solar America Initiative 1. Provide test and evaluation services to the National Laboratories for stage gate and progress measurements of SAI TPP winners

  13. TMCC WIND RESOURCE ASSESSMENT

    SciTech Connect (OSTI)

    Turtle Mountain Community College

    2003-12-30

    North Dakota has an outstanding resource--providing more available wind for development than any other state. According to U.S. Department of Energy (DOE) studies, North Dakota alone has enough energy from good wind areas, those of wind power Class 4 and higher, to supply 36% of the 1990 electricity consumption of the entire lower 48 states. At present, no more than a handful of wind turbines in the 60- to 100-kilowatt (kW) range are operating in the state. The first two utility-scale turbines were installed in North Dakota as part of a green pricing program, one in early 2002 and the second in July 2002. Both turbines are 900-kW wind turbines. Two more wind turbines are scheduled for installation by another utility later in 2002. Several reasons are evident for the lack of wind development. One primary reason is that North Dakota has more lignite coal than any other state. A number of relatively new minemouth power plants are operating in the state, resulting in an abundance of low-cost electricity. In 1998, North Dakota generated approximately 8.2 million megawatt-hours (MWh) of electricity, largely from coal-fired plants. Sales to North Dakota consumers totaled only 4.5 million MWh. In addition, the average retail cost of electricity in North Dakota was 5.7 cents per kWh in 1998. As a result of this surplus and the relatively low retail cost of service, North Dakota is a net exporter of electricity, selling approximately 50% to 60% of the electricity produced in North Dakota to markets outside the state. Keeping in mind that new electrical generation will be considered an export commodity to be sold outside the state, the transmission grid that serves to export electricity from North Dakota is at or close to its ability to serve new capacity. The markets for these resources are outside the state, and transmission access to the markets is a necessary condition for any large project. At the present time, technical assessments of the transmission network indicate that the ability to add and carry wind capacity outside of the state is limited. Identifying markets, securing long-term contracts, and obtaining a transmission path to export the power are all major steps that must be taken to develop new projects in North Dakota.

  14. Orimulsion conversion boosts prospects of `fourth` fossil fuel

    SciTech Connect (OSTI)

    1995-04-01

    This article describes how, by retrofitting a 100-MW oil-fired and a 215-MW coal-fired unit, one utility turned a plant destined for peaking service into a base-load asset with a predictable fuel bill and manageable emissions-even in environmentally sensitive Atlantic Canada. Six years ago, New Brunswick Power Corp (NB Power) found itself on the horns of a dilemma. For years, the utility had been searching for a powerplant fuel with a more stable price than oil, which at the time was fueling one-third of its generating capacity. Buying and burning more domestic coal-even at twice the price of offshore supplies-was the preferred option, because that would also help keep New Brunswick`s coal mines open. But by 1989, federal and provincial legislation had begun to plan for stringent limits on SO{sub 2} emissions that would take the local-coal card out of NB Power`s hand. Containing up to 8% sulfur, New Brunswick coal would be too dirty to burn by itself; emissions from a 200-MW unit would alone use up nearly half of the utility`s system-wide annual quota for SO{sub 2} emissions schedules for imposition in 1994. Enter Bitor America Corp, the Boca Raton (Fla) marketing subsidiary of the world`s third-largest oil company, Petroleos de Venezuela SA (PdVSA). Looking to further the fortunes of Orimulsion, a liquid emulsion of bitumen and water from the Orinoco region of Venezuela, Bitor funded and provided technical support for the first large-scale test burn of the fuel in the 100-MW Unit 1 of NB Power`s Dalhousie station in northern New Brunswick. After making the required modifications, NB Power burned Orimulsion in Unit 1 for two years. By 1991, the utility had cleanly converted more than a million barrels of the fuel to nearly half a million megawatt-hours of electricity-in the process finding few reasons not to commit to permanently converting Dalhousie`s Unit 1, as well as coal fired 215-MW Unit 2, to burn Orimulsion.

  15. Large Scale Wind and Solar Integration in Germany

    SciTech Connect (OSTI)

    Ernst, Bernhard; Schreirer, Uwe; Berster, Frank; Pease, John; Scholz, Cristian; Erbring, Hans-Peter; Schlunke, Stephan; Makarov, Yuri V.

    2010-02-28

    This report provides key information concerning the German experience with integrating of 25 gigawatts of wind and 7 gigawatts of solar power capacity and mitigating its impacts on the electric power system. The report has been prepared based on information provided by the Amprion GmbH and 50Hertz Transmission GmbH managers and engineers to the Bonneville Power Administration (BPA) and Pacific Northwest National Laboratory representatives during their visit to Germany in October 2009. The trip and this report have been sponsored by the BPA Technology Innovation office. Learning from the German experience could help the Bonneville Power Administration engineers to compare and evaluate potential new solutions for managing higher penetrations of wind energy resources in their control area. A broader dissemination of this experience will benefit wind and solar resource integration efforts in the United States.

  16. Accelerating Geothermal Research (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-05-01

    Geothermal research at the National Renewable Energy Laboratory (NREL) is advancing geothermal technologies to increase renewable power production. Continuous and not dependent on weather, the geothermal resource has the potential to jump to more than 500 gigawatts in electricity production, which is equivalent to roughly half of the current U.S. capacity. Enhanced geothermal systems have a broad regional distribution in the United States, allowing the potential for development in many locations across the country.

  17. CHP: Enabling Resilient Energy Infrastructure - Presentations from April

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

    2013 Webinar | Department of Energy - Presentations from April 2013 Webinar CHP: Enabling Resilient Energy Infrastructure - Presentations from April 2013 Webinar Recognizing the benefits of combined heat and power (CHP) and its current underutilization as an energy resource in the United States, the Obama Administration is supporting a National goal to achieve 40 gigawatts (GW) of new, cost-effective CHP by 2020. This set of presentations from an April 2013 webinar discusses the role for CHP

  18. HIGH ENERGY PULSED POWER SYSTEM FOR AGS SUPER NEUTRINO FOCUSING HORN.

    SciTech Connect (OSTI)

    ZHANG, S.Y.; SANDBERG, J.; WENG, W.-T.

    2005-05-16

    This paper present a preliminary design of a 300 kA, 2.5 Hz pulsed power system. This system will drive the focusing horn of proposed Brookhaven AGS Neutrino Super Beam Facility for Very Long Baseline Neutrino Oscillation Experiment. The peak output power of the horn pulsed power system will reach Giga-watts, and the upgraded AGS will be capable of delivering 1 MW in beam power.

  19. New Stream-reach Development (NSD) Fact Sheet | Department of Energy

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

    Fact Sheet New Stream-reach Development (NSD) Fact Sheet This fact sheet explores the more than 65 gigawatts (GW) of sustainable hydropower potential in U.S. stream-reaches, according to the hydropower resource assessment funded by DOE and executed by Oak Ridge National Laboratory. PDF icon newstreamreachfactsheet.pdf More Documents & Publications New Stream-reach Development (NSD) Fact Sheet New Stream-Reach Hydropower Development Fact Sheet New Stream-reach Development (NSD) Final Report

  20. U.S. Offshore Wind Port Readiness | Department of Energy

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

    Port Readiness U.S. Offshore Wind Port Readiness Report that reviews the current capability of U.S. ports to support offshore wind project development and assesses the challenges and opportunities related to upgrading this capability to support as much as 54 gigawatts of offshore wind by 2030. PDF icon Assessment of Ports for Offshore Wind Development in the United States.pdf More Documents & Publications Wind Offshore Port Readiness Assessment of Vessel Requirements for the U.S. Offshore

  1. NREL Releases Estimate of National Offshore Wind Energy Potential - News

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

    Releases | NREL Releases Estimate of National Offshore Wind Energy Potential September 10, 2010 The U.S. Department of Energy's National Renewable Energy Laboratory (NREL) announces the release of a new report that assesses the electricity generating potential of offshore wind resources in the United States. According to the Assessment of Offshore Wind Energy Resources for the United States, 4,150 gigawatts of potential wind turbine nameplate capacity (maximum turbine capacity) from offshore

  2. Wind Development on the Rosebud

    Energy Savers [EERE]

    Turbine Placement The proposed Sioux Wind project, announced last year at a Clinton Global Initiative summit, brings eight South Dakota tribes together with the hope of producing between 1 and 2- gigawatts of power collectively on several South Dakota reservations. Six SD Sioux Tribes Announce Wind Power Initiative Levi Rickert, editor-in-chief in Native Currents. Posted June 17, 2013 CHICAGO - Six tribal leaders of the South Dakota Sioux Nation were on hand at the Clinton Global Initiative to

  3. PROJECT PROFILE: Combined PV/Battery Grid Integration with High Frequency Magnetics Enabled Power Electronics (SuNLaMP)

    Broader source: Energy.gov [DOE]

    This project will develop new power electronics devices, systems, and materials to address power electronic and dispatchability challenges that result from connecting hundreds of gigawatts of solar energy onto the electricity grid. These devices will incorporate advanced high-frequency (HF) magnetics along with the latest wide bandgap silicon carbide (SiC) switches. This design enables cost-effective grid integration of PV while increasing its dispatchability.

  4. U.S. Department of Energy Subsurface Technology and Engineering RD&D Crosscutting Team

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

    Control for a Safe and Effective Energy Future U.S. Department of Energy Subsurface Technology and Engineering RD&D Crosscutting Team Introduction While subsurface sources constitute the Nation's primary source of energy (providing more than 80 percent of total U.S. energy needs today), they are also critical to the Nation's low-carbon and secure energy future. Next generation advances in subsurface technologies will enable access to more than 100 gigawatt-electric (GWe) of clean, renewable

  5. Technical Roadmaps for Public Comment | Department of Energy

    Energy Savers [EERE]

    Technical Roadmaps for Public Comment Technical Roadmaps for Public Comment Two technical roadmaps for leading geothermal technology sectors are open for review by the geothermal community and posted below for your feedback. Exploration Technical Roadmap A Roadmap for Strategic Development of Geothermal Exploration Technologies Characterizing productive geothermal systems is challenging yet critical to identify and develop an estimated 30 gigawatts electric (GWe) of undiscovered hydrothermal

  6. Thanks to Energy Department Funding, Safer Access to Offshore Wind Turbine

    Energy Savers [EERE]

    Platforms is Demonstrated | Department of Energy Thanks to Energy Department Funding, Safer Access to Offshore Wind Turbine Platforms is Demonstrated Thanks to Energy Department Funding, Safer Access to Offshore Wind Turbine Platforms is Demonstrated August 17, 2015 - 10:04am Addthis Thanks to Energy Department Funding, Safer Access to Offshore Wind Turbine Platforms is Demonstrated Alana Duerr Alana Duerr Ph.D., Ocean Engineer (New West Technologies) More than 4,000 gigawatts of estimated

  7. Small Modular Reactors - Key to Future Nuclear Power Generation in the U.S.

    Energy Savers [EERE]

    | Department of Energy Reactors - Key to Future Nuclear Power Generation in the U.S. Small Modular Reactors - Key to Future Nuclear Power Generation in the U.S. This report presents the results of an extensive analysis of the economics of both gigawatt-scale and small modular reactors. Topics covered include the safety case, economics, the business case, and a business plan, government incentives, licensing, design and engineering, and future research. PDF icon Small Modular Reactors - Key

  8. Biopower Basics | Department of Energy

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

    Biopower Basics Biopower Basics August 14, 2013 - 12:35pm Addthis Biopower is the production of electricity or heat from biomass resources. With 10 gigawatts of installed capacity, biopower technologies are proven options in the United States today. Biopower technologies include direct combustion, co-firing, and anaerobic digestion. Direct Combustion Most electricity generated from biomass is produced by direct combustion using conventional boilers. These boilers primarily burn waste wood

  9. EM Historical Timeline | Department of Energy

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

    EM Historical Timeline EM Historical Timeline July 7, 2014 - 2:42pm Addthis Addthis Related Articles Study Finds 54 Gigawatts of Offshore Wind Capacity Technically Possible by 2030 Umatilla Tribes Department of Science and Engineering Director Stuart Harris, far right, explains the purpose of the Tribes' greenhouses to Senior Advisor for Environmental Management David Huizenga, center, and Richland Operations Office Manager Matt McCormick. Helping STEM Take Root: EM Tribal Partnership Looks To

  10. Play Fairway Analysis | Department of Energy

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

    Play Fairway Analysis Play Fairway Analysis Energy Department investments in adapting play fairway analysis to geothermal exploration could yield a potential 30 gigawatts of additional power from energy hidden deep in the Earth. In this poster, the University of Nevada at Reno illustrates the discovery of blind geothermal systems in the Great Basin Region, which spans 5 western states. source: James Faulds, Nevada Bureau of Mines and Geology Energy Department investments in adapting play fairway

  11. High Burnup Dry Storage Cask Research and Development Project: Final Test

    Office of Environmental Management (EM)

    Plan | Department of Energy High Burnup Dry Storage Cask Research and Development Project: Final Test Plan High Burnup Dry Storage Cask Research and Development Project: Final Test Plan The potential need to store Spent Nuclear Fuel (SNF) for many decades will have a near-term and potentially significant impact on nuclear plant licensing and operations. While dry storage of lower burnup SNF [less than 45 gigawatt days per metric ton uranium (GWD / MTU)] has occurred since 1986, dry storage

  12. Wind Vision Chapter 2: Wind Power in the United States

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

    2 2 Chapter 2 | Summary 3 Chapter 2 | Summary 2 Wind Power in the United States: Recent Progress, Status Today, and Emerging Trends Summary With more than 61 gigawatts (GW) installed across 39 states at the end of 2013, wind power has confirmed its credibility as a scalable, reliable and environmentally sound energy technology, and a cost-effective source of low emissions power generation in those regions of the United States in which substantial wind potential exists. The United States has more

  13. track 2: hydrothermal | geothermal 2015 peer review | Department of Energy

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

    Inability to accurately predict temperature and permeability of the geothermal reservoir from the surface is a major cost and exploration risk for geothermal systems. While the majority of known geothermal resources across America have been identified, the USGS predicts that more than 30 gigawatts of geothermal energy potential - enough to power about 30 million homes - resides deep in the earth in "blind" geothermal systems, without any manifestation on the surface. Research

  14. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Net Generation by Energy Source: Residential Sector, 2014 (Thousand Megawatthours) Distributed Generation Period Estimated Distributed Solar Photovoltaic Generation Annual Totals 2014 4,243 Year 2014 January 226 February 238 March 328 April 361 May 402 June 410 July 431 August 431 September 404 October 382 November 319 December 311 See Glossary for definitions. Values are final. See Technical Notes for a discussion of the sample design for the Form EIA-923 and predecessor forms. Totals may

  15. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Utility Scale Facility Net Generation from Other Gases by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year

  16. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Utility Scale Facility Net Generation from Nuclear Energy by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change

  17. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Utility Scale Facility Net Generation from Hydroelectric (Conventional) Power by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013

  18. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Utility Scale Facility Net Generation from Renewable Sources Excluding Hydroelectric by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year

  19. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Utility Scale Facility Net Generation from Hydroelectric (Pumped Storage) Power by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    7. Utility Scale Facility Net Generation from Other Energy Sources by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage