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Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

On a QUEST to Save Oakland 8.4 Gigawatt Hours | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

On a QUEST to Save Oakland 8.4 Gigawatt Hours On a QUEST to Save Oakland 8.4 Gigawatt Hours On a QUEST to Save Oakland 8.4 Gigawatt Hours August 13, 2010 - 3:38pm Addthis Lorelei Laird Writer, Energy Empowers Derrick Rebello wants to make the downtown corridor of Oakland, California, one of the greenest in the nation. Through the new Downtown Oakland Targeted Measure Saturation Project, he and his company, Quantum Energy Services and Technologies (QUEST), are targeting the city's 120-block business district to make as many buildings as possible highly energy efficient. "The goal is to really leave no stone unturned," said Rebello, president of QUEST. "We are trying to achieve 80 percent participation. And of those participating buildings, we are focusing on getting a 20 percent reduction

2

Figure 34. Ratio of average per megawatthour fuel costs ...  

U.S. Energy Information Administration (EIA)

Title: Figure 34. Ratio of average per megawatthour fuel costs for natural gas combined-cycle plants to coal-fired steam turbines in the RFC west ...

3

Figure 33. Ratio of average per megawatthour fuel costs for ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 33. Ratio of average per megawatthour fuel costs for natural gas combined-cycle plants to coal-fired steam turbines in the SERC southeast ...

4

Figure 27. Ratio of average per megawatthour fuel costs for ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 27. Ratio of average per megawatthour fuel costs for natural gas combined-cycle plants to coal-fired steam turbines in five cases, 2008-2040

5

"2012 Total Electric Industry- Sales (Thousand Megawatthours)"  

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

Sales (Thousand Megawatthours)" Sales (Thousand Megawatthours)" "(Data from forms EIA-861- schedules 4A, 4B, 4D, EIA-861S and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",47207.696,44864.227,27817.984,566.173,120456.08 "Connecticut",12757.633,12976.05,3565.944,192.711,29492.338 "Maine",4480.736,4053.188,3027.135,0,11561.059 "Massachusetts",20313.469,17722.811,16927.205,349.839,55313.324 "New Hampshire",4439.208,4478.42,1952.633,0,10870.261 "Rhode Island",3121.367,3639.866,923.478,23.623,7708.334 "Vermont",2095.283,1993.892,1421.589,0,5510.764 "Middle Atlantic",132230.522,157278.208,69506.519,3910.06,362925.309

6

Retail Sales of Electricity (Megawatthours) by State by Sector by Provider, 1990  

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

Retail Sales of Electricity (Megawatthours) by State by Sector by Provider, 1990-2012" Retail Sales of Electricity (Megawatthours) by State by Sector by Provider, 1990-2012" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2012,"AK","Total Electric Industry",2160196,2875038,1381177,0,"NA",6416411 2012,"AL","Total Electric Industry",30632261,21799181,33751106,0,"NA",86182548 2012,"AR","Total Electric Industry",17909301,12102048,16847755,463,"NA",46859567 2012,"AZ","Total Electric Industry",32922970,29692256,12448117,0,"NA",75063343 2012,"CA","Total Electric Industry",90109995,121791536,46951714,684793,"NA",259538038

7

Avoided Gigawatts Through Utility Capital Recovery Fees  

E-Print Network (OSTI)

Electric rate structures can be used to provide customers with the proper pricing signals as well as provide economic incentives for increased market penetration for energy efficient new buildings. An innovative, marginal (replacement cost) rate structure is possible through the use of capital recovery fees for new electric meter hookups similar to those commonly used for new water and wastewater hookups where the developer/owner is required to capitalize the marginal cost of new demand. By giving credit for the more efficient loads placed on an electric utility system, a utility could rapidly advance the market penetration of commercially available, highly efficient building systems and equipment resulting in potential gigawatts of conserved energy. Simultaneously, the capital costs of new generating plants could be shifted to the end-user from the already debt-burdened electric utility industry. This paper will explore this pricing option and analyze its potential on future electric load growth and the design of efficient new buildings.

Frosenfeld, A. N.; Verdict, M. E.

1985-01-01T23:59:59.000Z

8

Economic Development from Gigawatt-Scale Wind Deployment in Wyoming (Presentation)  

DOE Green Energy (OSTI)

This presentation provides an overview of economic development in Wyoming from gigawatt-scale wind development and includes a discussion of project context, definitions and caveats, a deployment scenario, modeling inputs, results, and conclusions.

Lantz, E.

2011-05-23T23:59:59.000Z

9

Impact of Wind Energy on Hourly Load Following Requirements: An Hourly and Seasonal Analysis; Preprint  

Science Conference Proceedings (OSTI)

The impacts of wind energy on the power system grid can be decomposed into several time scales that include regulation, load following, and unit commitment. Techniques for evaluating the impacts on these time scales are still evolving, and as wind energy becomes a larger part of the electricity supply, valuable experience will be gained that will help refine these methods. Studies that estimated the impact of wind in the load following time scale found differing results and costs, ranging from near zero to approximately $2.50/megawatt-hour (MWh). Part of the reason for these differences is the different interpretation of the impacts that would be allocated to this ancillary service. Because of the low correlation between changes in load and wind, long-term analyses of the load following impact of wind may find low impacts. During the daily load cycle, there is a tremendous variability in load following requirements in systems without wind. When significant levels of wind generation are added to the resource mix, relatively small changes in wind output can complicate the task of balancing the system during periods of large load swings. This paper analyzes the load following impacts of wind by segregating these critical time periods of the day and separating the analysis by season. The analysis compares wind generation at geographically dispersed sites to wind generation based primarily at a single site, and for a large penetration of wind (more than 20% wind capacity to peak load).

Krich, A.; Milligan, M.

2005-05-01T23:59:59.000Z

10

Storing hydroelectricity to meet peak-hour demand  

Science Conference Proceedings (OSTI)

This paper reports on pumped storage plants which have become an effective way for some utility companies that derive power from hydroelectric facilities to economically store baseload energy during off-peak hours for use during peak hourly demands. According to the Electric Power Research Institute (EPRI) in Palo Alto, Calif., 36 of these plants provide approximately 20 gigawatts, or about 3 percent of U.S. generating capacity. During peak-demand periods, utilities are often stretched beyond their capacity to provide power and must therefore purchase it from neighboring utilities. Building new baseload power plants, typically nuclear or coal-fired facilities that run 24 hours per day seven days a week, is expensive, about $1500 per kilowatt, according to Robert Schainker, program manager for energy storage at the EPRI. Schainker the that building peaking plants at $400 per kilowatt, which run a few hours a day on gas or oil fuel, is less costly than building baseload plants. Operating them, however, is more expensive because peaking plants are less efficient that baseload plants.

Valenti, M.

1992-04-01T23:59:59.000Z

11

hourly | OpenEI  

Open Energy Info (EERE)

hourly hourly Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (7 months ago) Date Updated July 02nd, 2013 (5 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

12

Property:PotentialCSPGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialCSPGeneration PotentialCSPGeneration Jump to: navigation, search Property Name PotentialCSPGeneration Property Type Quantity Description The estimated potential energy generation from CSP for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialCSPGeneration" Showing 25 pages using this property. (previous 25) (next 25)

13

Property:PotentialBiopowerSolidGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerSolidGeneration PotentialBiopowerSolidGeneration Jump to: navigation, search Property Name PotentialBiopowerSolidGeneration Property Type Quantity Description The estimated potential energy generation from solid biopower for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialBiopowerSolidGeneration" Showing 25 pages using this property. (previous 25) (next 25)

14

Property:PotentialHydropowerGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialHydropowerGeneration PotentialHydropowerGeneration Jump to: navigation, search Property Name PotentialHydropowerGeneration Property Type Quantity Description The estimated potential energy generation from Hydropower for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialHydropowerGeneration" Showing 25 pages using this property. (previous 25) (next 25)

15

Property:PotentialGeothermalHydrothermalGeneration | Open Energy  

Open Energy Info (EERE)

PotentialGeothermalHydrothermalGeneration PotentialGeothermalHydrothermalGeneration Jump to: navigation, search Property Name PotentialGeothermalHydrothermalGeneration Property Type Quantity Description The estimated potential energy generation from Geothermal Hydrothermal for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialGeothermalHydrothermalGeneration"

16

Property:PotentialRuralUtilityScalePVGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialRuralUtilityScalePVGeneration PotentialRuralUtilityScalePVGeneration Jump to: navigation, search Property Name PotentialRuralUtilityScalePVGeneration Property Type Quantity Description The estimated potential energy generation from utility-scale PV in rural areas of a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialRuralUtilityScalePVGeneration"

17

Property:PotentialUrbanUtilityScalePVGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialUrbanUtilityScalePVGeneration PotentialUrbanUtilityScalePVGeneration Jump to: navigation, search Property Name PotentialUrbanUtilityScalePVGeneration Property Type Quantity Description The estimated potential energy generation from utility-scale PV in urban areas of a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialUrbanUtilityScalePVGeneration"

18

Property:PotentialEGSGeothermalGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialEGSGeothermalGeneration PotentialEGSGeothermalGeneration Jump to: navigation, search Property Name PotentialEGSGeothermalGeneration Property Type Quantity Description The estimated potential energy generation from EGS Geothermal for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialEGSGeothermalGeneration" Showing 25 pages using this property. (previous 25) (next 25)

19

Property:PotentialOnshoreWindGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialOnshoreWindGeneration PotentialOnshoreWindGeneration Jump to: navigation, search Property Name PotentialOnshoreWindGeneration Property Type Quantity Description The area of potential onshore wind in a place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialOnshoreWindGeneration" Showing 25 pages using this property. (previous 25) (next 25)

20

Property:PotentialRooftopPVGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialRooftopPVGeneration PotentialRooftopPVGeneration Jump to: navigation, search Property Name PotentialRooftopPVGeneration Property Type Quantity Description The estimated potential energy generation from Rooftop PV for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialRooftopPVGeneration" Showing 25 pages using this property. (previous 25) (next 25)

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Property:PotentialOffshoreWindGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialOffshoreWindGeneration PotentialOffshoreWindGeneration Jump to: navigation, search Property Name PotentialOffshoreWindGeneration Property Type Quantity Description The estimated potential energy generation from Offshore Wind for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialOffshoreWindGeneration" Showing 25 pages using this property. (previous 25) (next 25)

22

Property:PotentialBiopowerGaseousGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerGaseousGeneration PotentialBiopowerGaseousGeneration Jump to: navigation, search Property Name PotentialBiopowerGaseousGeneration Property Type Quantity Description The estimated potential energy generation from gaseous biopower for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialBiopowerGaseousGeneration" Showing 25 pages using this property. (previous 25) (next 25)

23

NERSC Edison Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Edison Hours Used Edison Hours Used Edison Usage Chart Edison Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hoursday) 10142013 1.852 61.8 10132013...

24

OpenEI - hourly data  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4980 en Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and diffuse) data for selected stations in Sri Lanka from...

25

Transitioning to 12-hour shifts  

Science Conference Proceedings (OSTI)

In 1989, Yankee Rowe nuclear power station successfully implemented a 12-hour shift schedule for all shiftworkers (control room personnel, auxiliary operators, and radiation protection shift technicians) with many positive effects on morale, motivation, and performance. The transition from an 8-hour to a 12-hour shift schedule was initiated, organized, and promoted by the shiftworkers themselves after they had identified numerous inadequacies in the 8-hour shift schedule. Preliminary and final implementation required several steps: (a) a survey of needs, (b) research of potential schedules, (c) cost/benefit analysis, (d) resolution of any union contract conflicts, (e) management approval, and (f) trial shift schedule periods.

Suter, P.S.; Cervassi, S.M.

1993-03-01T23:59:59.000Z

26

NERSC Franklin Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Franklin Hours Used 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 04/20/2012 173.75 18.74 04/19/2012 449.22 48.44 04/18/2012 816.23 88.02 04/17/2012 754.35 81.34 04/16/2012 648.89 69.97 04/15/2012 812.25 87.59 04/14/2012 843.46 90.95 04/13/2012 737.46 79.52 04/12/2012 711.97 76.77 04/11/2012 734.65 79.22 04/10/2012 815.65 87.95 04/09/2012 897.25 96.75

27

Teach Yourself in 24 Hours  

E-Print Network (OSTI)

"ations .................................................. 302 Reclaiming Memory with the kill Command .................................. 303 Getting System Load in a retrieval system, or transmitted by any means, electronic, mechanical, photo- copying, recording 1 Hour 1 Preparing to Install Linux 3 2 Installing Linux 11 3 Configuring the X Window System 31

Eckmiller, Rolf

28

NERSC Carver Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Carver Hours Carver Hours Used Carver Hours Used Hopper Usage Chart Hopper Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 01/05/2014 170.00 89.35 01/04/2014 174.38 91.65 01/03/2014 174.15 91.53 01/02/2014 179.72 94.45 01/01/2014 173.76 91.32 12/31/2013 172.25 90.53 12/30/2013 169.62 89.14 12/29/2013 164.72 86.57 12/28/2013 177.92 93.51 12/27/2013 171.61 90.19 12/26/2013 172.74 90.79 12/25/2013 172.13 90.46 12/24/2013 173.48 91.18 12/23/2013 174.92 91.93 12/22/2013 175.26 92.11 12/21/2013 173.58 91.23 12/20/2013 174.50 91.71 12/19/2013 170.02 89.36 12/18/2013 178.25 93.68 12/17/2013 176.17 92.59 12/16/2013 162.03 85.16 12/15/2013 157.09 82.56 12/14/2013 173.40 91.13 12/13/2013 185.02 97.24 12/12/2013 150.91 79.31 12/11/2013 31.67 16.64 12/10/2013 92.44 48.58

29

hourly data | OpenEI  

Open Energy Info (EERE)

data data Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. Source U.S. National Renewable Energy Laboratory (NREL) Date Released May 03rd, 2005 (9 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DNI GHI hourly data NREL solar Sri Lanka SWERA TILT TMY UNEP Data application/zip icon Download TMY data (zip, 67.5 MiB)

30

Predicting hourly building energy usage  

SciTech Connect

This article presents the results of an evaluation to identify the most accurate method for making hourly energy use predictions. The prediction of energy usage by HVAC systems is important for the purposes of HVAC diagnostics, system control, parameter and system identification, optimization and energy management. Many new techniques are now being applied to the analysis problems involved with predicting the future behavior of HVAC systems and deducing properties of these systems. Similar problems arise in most observational disciplines, including physics, biology and economics.

Kreider, J.F. (Univ. of Colorado, Boulder, CO (United States). Dept. of Civil, Environmental and Architectural Engineering); Haberl, J.S. (Texas A and M Univ., College Station, TX (United States). Mechanical Engineering Dept.)

1994-06-01T23:59:59.000Z

31

Estimation of Daily Degree-hours  

Science Conference Proceedings (OSTI)

Degree-hours have many applications in fields such as agriculture, architecture, and power generation. Since daily mean temperatures are more readily available than hourly temperatures, the difference between mean daily degree-hours computed from ...

Nathaniel B. Guttman; Richard L. Lehman

1992-07-01T23:59:59.000Z

32

www.eia.gov  

U.S. Energy Information Administration (EIA)

1,000,000 (One Million) Kilowatts Thousand Gigawatts 1,000,000,000 (One Billion) Kilowatts Kilowatthours (kWh) 1,000 (One Thousand) Watthours Megawatthours (MWh)

33

EIA - Electricity Data  

U.S. Energy Information Administration (EIA)

1,000,000 (One Million) Kilowatts: Thousand Gigawatts: 1,000,000,000 (One Billion) Kilowatts : Kilowatthours (kWh) 1,000 (One Thousand) Watthours: Megawatthours (MWh)

34

Definition: Kilowatt-hour | Open Energy Information  

Open Energy Info (EERE)

Kilowatt-hour Kilowatt-hour Jump to: navigation, search Dictionary.png Kilowatt-hour A unit of measure for energy, typically applied to electricity usage; equal to the amount of energy used at a rate of 1,000 watts over the course of one hour. One kWh is equivalent to 3,412 Btu, or 3,600 kJ.[1][2] View on Wikipedia Wikipedia Definition The kilowatt hour, or kilowatt-hour, (symbol kW·h, kW h or kWh) is a unit of energy equal to 1000 watt hours or 3.6 megajoules. For constant power, energy in watt hours is the product of power in watts and time in hours. The kilowatt hour is most commonly known as a billing unit for energy delivered to consumers by electric utilities. Also Known As kWh Related Terms British thermal unit, Electricity, Energy, Kilowatt, energy, electricity generation

35

The Autocorrelation of Hourly Wind Speed Observations  

Science Conference Proceedings (OSTI)

The autocorrelation of hourly wind speed observations is estimated for seven stations on the west coast of Canada at selected lags ranging from one hour to two months. The estimated autocorrelation function is fitted by a model that includes a ...

Arthur C. Brett; Stanton E. Tuller

1991-06-01T23:59:59.000Z

36

Virtualizing office hours in CS 50  

Science Conference Proceedings (OSTI)

In Fall 2007, we introduced "virtual office hours" into Harvard College's introductory computer science course, CS 50, so that students could meet with teaching fellows (TFs) online to discuss problem sets at any hour from anywhere. Our goals were to ... Keywords: CSCW, collaboration, distance education, virtual office hours

David J. Malan

2009-07-01T23:59:59.000Z

37

OpenEI - hourly emission factors  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4640 en Hourly Energy Emission Factors for Electricity Generation in the United States http:en.openei.orgdatasetsnode488...

38

Bradbury Science Museum announces winter opening hours  

NLE Websites -- All DOE Office Websites (Extended Search)

Bradbury Science Museum winter hours Bradbury Science Museum winter hours Bradbury Science Museum announces winter opening hours Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). December 21, 2010 Bradbury Science Museum Bradbury Science Museum Contact Communications Office (505) 667-7000 Often called "a window to the Laboratory," the museum annually attracts thousands of visitors from all over the world. LOS ALAMOS, New Mexico, December 21, 2010-Los Alamos National Laboratory's Bradbury Science Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). On all other days, the museum will observe regular opening hours: from 10 a.m. to 5 p.m. Tuesdays to Saturdays, and from 1 to 5 p.m. Sundays and Mondays. Often called "a window to the Laboratory," the museum annually attracts

39

hourly solar radiation | OpenEI  

Open Energy Info (EERE)

solar radiation solar radiation Dataset Summary Description (Abstract): A need for predicting hourly global radiation exists for many locations particularly in Bangladesh for which measured values are not available and daily values have to be estimated from sunshine data. The CPRG model has been used to predict values of hourly Gh for Dhaka (23.770N, 90.380E), Chittagong (22.270N, 91.820E) and Bogra (24.850N, 89.370E) for = ±7.50, ±22.50, ±37.50, ±52.50, ±67.50, ±82.50 and ±97.50 i.e., for ±1/2, ±3/2, ±5/2, ±7/2, ±9/2, ±11/2, ±13/2 hours before and after solar noon and the computed values for Source Renewable Energy Research Centre Date Released October 22nd, 2003 (11 years ago) Date Updated Unknown Keywords Bangladesh documentation hourly solar radiation SWERA

40

Life of a Six-Hour Hurricane  

Science Conference Proceedings (OSTI)

Hurricane Claudette developed from a weak vortex in 6 h as deep convection shifted from downshear into the vortex center, despite ambient vertical wind shear exceeding 10 m s?1. Six hours later it weakened to a tropical storm, and 12 h after the ...

Kay L. Shelton; John Molinari

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

NERSC Edison Phase I Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Edison Phase I Hours Used 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 06/08/2013 0.225 88.3 06/07/2013 0.121 47.5 06/06/2013 0.223 87.4 06/05/2013 0.250 98.0 06/04/2013 0.234 91.6 06/03/2013 0.218 85.5 06/02/2013 0.246 96.4 06/01/2013 0.230 90.0 05/31/2013 0.215 84.5 05/30/2013 0.212 83.1 05/29/2013 0.223 87.3 05/28/2013 0.237 93.0 05/27/2013 0.226 88.5 05/26/2013 0.229 89.9

42

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production  

NLE Websites -- All DOE Office Websites (Extended Search)

Hour-by-Hour Cost Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production Genevieve Saur (PI), Chris Ainscough (Presenter), Kevin Harrison, Todd Ramsden National Renewable Energy Laboratory January 17 th , 2013 This presentation does not contain any proprietary, confidential, or otherwise restricted information 2 Acknowledgements * This work was made possible by support from the U.S. Department of Energy's Fuel Cell Technologies Office within the Office of Energy Efficiency and Renewable Energy (EERE). http://www.eere.energy.gov/topics/hydrogen_fuel_cells.html * NREL would like to thank our DOE Technology Development Managers for this project, Sara Dillich, Eric Miller, Erika Sutherland, and David Peterson. * NREL would also like to acknowledge the indirect

43

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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...

44

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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...

45

hourly emission factors | OpenEI  

Open Energy Info (EERE)

60 60 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278660 Varnish cache server hourly emission factors Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago)

46

BNL | Center for Functional Nanomaterials Hours of Operation  

NLE Websites -- All DOE Office Websites (Extended Search)

CFN Hours of Operation CFN Hours of Operation Normal working hours at the CFN are 8 a.m. to 6 p.m. Working Outside of Normal Hours CFN scientific and technical personnel, as well as external users, may need to work outside of normal operating hours, during which time support is limited and many colleagues may not be around. Therefore, working outside the 8 a.m. to 6 p.m. envelope on weekdays, or anytime on weekends and holidays, requires special precautions, especially if working in a laboratory. CFN users are expected to work at the CFN during normal working hours. Users with extensive experience working at the CFN may be granted permission by the appropriate facility leader and ES&H Coordinator to work after hours. Users first must complete the Request to Work After-Hours at

47

Results of the 1000 Hour Rotary Microfilter Endurance Test  

Stellite on Nitronic 60. 8 SRNL-L3100-2010-00229 Rotary Microfilter 1000 Hour Test Flux Data for 1000 Hour Test 0 1 2 3 4 5 6 0 100 200 300 400 500 ...

48

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

NLE Websites -- All DOE Office Websites (Extended Search)

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Medical professionals with the Radiation Emergency Assistance CenterTraining Site (REACTS) at the...

49

Does EIA publish data on peak or hourly electricity ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial ... load (or demand) data in our Electric Power Annual ... hourly load/demand profiles for some Independent ...

50

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

NLE Websites -- All DOE Office Websites (Extended Search)

Twitter Delayed Start or Cancellation of Business Hours Winter Road Closings Winter Weather FAQs Westgate Alternate Routes Reporting IllegalUnethical Activity Working Remotely...

51

Report of 1,000 Hour Catalyst Longevity Evaluation  

DOE Green Energy (OSTI)

This report presents the results of a 1,000 hour, high-pressure, catalyst longevity test for the decomposition of concentrated sulfuric acid. The reaction is used for both the sulfur-iodine (S-I) cycle and hybrid sulfur cycle. By the time of the delivery date of April 17, 2009, for project milestone no. 2NIN07TC050114, the 1% Pt/TiO2 catalyst had been in the reaction environment for 658 hours. During the first 480 hours of testing, the catalyst activity provided stable, near-equilibrium yields of 46.8% SO2 and 22.8% O2. However, product yields declined at sample exposure times >480 hours. At 658 hours of operation, catalyst activity (based on oxygen yield) declined to 57% relative to the stable period of catalyst activity. Thus, as of April 17, this catalyst did not provide the desired stability level of <10% degradation per 1,000 hours. The experiment was terminated on April 27, after 792 hours, when a fitting failed and the catalyst was displaced from the reactor such that the sample could not be recovered. Oxygen conversion at the end of the experiment was 12.5% and declining, suggesting that at that point, catalyst activity had decreased to 54% of the initial level.

Daniel M. Ginosar

2009-06-01T23:59:59.000Z

52

Development of an Hourly Optimization Tool for Renewable Energy Systems  

SciTech Connect

An hourly optimization tool is developed to select and size renewable energy (RE) systems to meet the energy needs for various federal facilities. The optimization is based on life cost analysis of various RE technologies including wind and PV systems. The developed hourly optimization tool is used to evaluate the cost-effectiveness of RE technologies using complex energy and demand charges such time-of-use (TOU) rates. The paper compares results obtained using hourly analysis instead of annual based calculations to optimize the sizing of RE systems for residential, commercial, and industrial facilities in three representative US climates.

Lee, C.; Walker, A.; Krarti, M.

2010-01-01T23:59:59.000Z

53

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone October 30, 2013 - 12:00pm Addthis The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. 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.

54

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone October 30, 2013 - 12:00pm Addthis The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. 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.

55

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Over a Billion Supercomputing Hours to Address 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. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life sciences, and materials science.

56

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Awards Over a Billion Supercomputing Hours to Address DOE Awards 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. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life

57

A Quality Assurance System for Canadian Hourly Pressure Data  

Science Conference Proceedings (OSTI)

In this study a comprehensive quality assurance (QA) system, which includes the hydrostatic check combined with a statistical homogeneity test, is designed and applied to hourly pressure records (for 19532002) from 761 Canadian stations, to ...

Hui Wan; Xiaolan L. Wang; Val R. Swail

2007-11-01T23:59:59.000Z

58

Complex Quality Assurance of Historical Hourly Surface Airways Meteorological Data  

Science Conference Proceedings (OSTI)

A new complex quality assurance (QA) procedure is developed for historical hourly surface airways meteorological data, recently digitized in a U.S. governmentsponsored effort that extends the digital period of record back as early as the late ...

Daniel Y. Graybeal; Arthur T. DeGaetano; Keith L. Eggleston

2004-08-01T23:59:59.000Z

59

Global Solar Radiation Estimation from Relative Sunshine Hours in Italy  

Science Conference Proceedings (OSTI)

We examine the existing measurements of global solar radiation and sunshine duration for Italy, and evaluate the errors made in estimating global solar radiation from sunshine hours measurements. We find that the ngstromBlack linear relation in ...

A. Andretta; B. Bartoli; B. Coluzzi; V. Cuomo; M. Francesca; C. Serio

1982-10-01T23:59:59.000Z

60

Airport quotas and peak hour pricing : theory and practice  

E-Print Network (OSTI)

This report examines the leading theoretical studies not only of airport peak-hour pricing but also of the congestion costs associated with airport delays and presents a consistent formulation of both. The report also ...

Odoni, Amedeo R.

1976-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

An Hourly AssimilationForecast Cycle: The RUC  

Science Conference Proceedings (OSTI)

The Rapid Update Cycle (RUC), an operational regional analysisforecast system among the suite of models at the National Centers for Environmental Prediction (NCEP), is distinctive in two primary aspects: its hourly assimilation cycle and its use ...

Stanley G. Benjamin; Dezs Dvnyi; Stephen S. Weygandt; Kevin J. Brundage; John M. Brown; Georg A. Grell; Dongsoo Kim; Barry E. Schwartz; Tatiana G. Smirnova; Tracy Lorraine Smith; Geoffrey S. Manikin

2004-02-01T23:59:59.000Z

62

Hourly Energy Emission Factors for Electricity Generation in...  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United States

Emissions from energy use in buildings are usually estimated on an annual...

63

Form EIA-930 HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT  

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

930 930 HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT INSTRUCTIONS Due Date: mm/dd/yyyy Approved: OMB No. 1905-0129 Approval Expires: 10/31/2016 Burden: 0.19 hours Page 1 Draft for Discussion only PURPOSE Form EIA-930 requires Internet posting of hourly balancing authority operating data. The posted data are used to monitor the current status and trends of the electric power industry, and to support enhancement of electric system operations. REQUIRED RESPONDENTS For the contiguous United States: all entities that are listed in NERC's Compliance Registry as a balancing authority must post balancing authority operating information required by this survey. Other than the Midwest ISO (MISO), registered balancing authorities that are parties

64

Hourly Energy Emission Factors for Electricity Generation in the United  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United Hourly Energy Emission Factors for Electricity Generation in the United States Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the eGRID subregions in the continental United States. These factors took into account electricity imports and exports

65

INCITE Program Doles Out Hours on Supercomputers | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

INCITE Program Doles Out Hours on Supercomputers 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 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. Charles Rousseaux Charles Rousseaux Senior Writer, Office of Science

66

Renewable Energies program (6 credit hour) Option A: 11  

E-Print Network (OSTI)

Renewable Energies program (6 credit hour) Option A: 11 Option B: The program is organized by t Spanish Institute and the Asso program on renewable energy will provide students with advanced knowledge. opportunities: option A- two renewable energies; option B include on-site visits to renewable energy generation

Simaan, Nabil

67

A Quality-Control Routine for Hourly Wind Observations  

Science Conference Proceedings (OSTI)

The quality of hourly wind speed and direction observations from 41 northeastern U.S. first-order weather stations is evaluated with regard to the recognition of individual observations that are either obviously in error or of suspect quality. An ...

Arthur T. DeGaetano

1997-04-01T23:59:59.000Z

68

Global nuclear generation capacity totaled more than 370 gigawatts ...  

U.S. Energy Information Administration (EIA)

Chinawhere plans for large increases in nuclear capacity had been announcedinstituted a temporary moratorium on new approvals for nuclear power ...

69

Amp-hour counting control for PV hybrid power systems  

SciTech Connect

The performance of an amp-hour (Ah) counting battery charge control algorithm has been defined and tested using the Digital Solar Technologies MPR-9400 microprocessor based PV hybrid charge controller. This work included extensive field testing of the charge algorithm on flooded lead-antimony and valve regulated lead-acid (VRLA) batteries. The test results after one-year have demonstrated that PV charge utilization, battery charge control, and battery state of charge (SOC) has been significantly improved by providing maximum charge to the batteries while limiting battery overcharge to manufacturers specifications during variable solar resource and load periods.

Hund, T.D. [Sandia National Labs., Albuquerque, NM (United States); Thompson, B. [Biri Systems, Ithaca, NY (United States)

1997-06-01T23:59:59.000Z

70

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

71

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

72

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

73

Folding Proteins at 500 ns/hour with Work Queue  

E-Print Network (OSTI)

AbstractMolecular modeling is a field that traditionally has large computational costs. Until recently, most simulation techniques relied on long trajectories, which inherently have poor scalability. A new class of methods is proposed that requires only a large number of short calculations, and for which minimal communication between computer nodes is required. We considered one of the more accurate variants called Accelerated Weighted Ensemble Dynamics (AWE) and for which distributed computing can be made efficient. We implemented AWE using the Work Queue framework for task management and applied it to an all atom protein model (Fip35 WW domain). We can run with excellent scalability by simultaneously utilizing heterogeneous resources from multiple computing platforms such as clouds (Amazon EC2, Microsoft Azure), dedicated clusters, grids, on multiple architectures (CPU/GPU, 32/64bit), and in a dynamic environment in which processes are regularly added or removed from the pool. This has allowed us to achieve an aggregate sampling rate of over 500 ns/hour. As a comparison, a single process typically achieves 0.1 ns/hour. I.

Badi Abdul-wahid; Li Yu; Dinesh Rajan

2012-01-01T23:59:59.000Z

74

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Cuba from NREL Cuba from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

75

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Bangladesh stations from NREL Bangladesh stations from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

76

UNITED STATES OF AMERICA FEDERAL ENERGY REGULATORY COMMISSION  

NLE Websites -- All DOE Office Websites (Extended Search)

Service GRP Glass Reinforced Plastic GWh gigawatt-hour HDD horizontal directional drilling vii HIRA Hazard Identification and Risk Assessment Hz hertz IHA incidental...

77

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Honduras from SUNY Honduras from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

78

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

79

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Nicaragua from SUNY Nicaragua from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

80

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Central America from NREL Central America from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Guatemala from SUNY Guatemala from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

82

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Cuba sites from SUNY Cuba sites from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

83

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

84

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

85

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

El Salvador sites from SUNY El Salvador sites from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

86

What do hourly performance data on a building tell us  

DOE Green Energy (OSTI)

Hourly performance data on a building contain valuable information on the dynamics of the building and of the HVAC systems. Quantities such as the building loss coefficient, solar gains, and the net effect of thermal masses and their couplings are all contained in the data. The building element vector analysis (BEVA) method has been applied to a multizone residential passive solar building monitored under the SERI Class B program. Using short-term data (approximately one week), the building parameters were regressed. With these as inputs, the subsequent performance of the building was well predicted. Using performance data for the period February 3-9, 1982, the building vectors were obtained by regression. The resulting best fit for the zone temperature is given. These parameters were used to predict the temperature for the period February 10-14. The resulting values are also plotted along with the outdoor temperature, solar radiation on a south vertical surface, and auxiliary energy for these periods.

Subbarao, K.

1984-11-01T23:59:59.000Z

87

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

88

Utility green pricing programs: A statistical analysis of program effectiveness  

E-Print Network (OSTI)

Total renewable energy purchases of residential program participants in megawatt-hours divided by total eligible residential electrical usage.Total renewable energy purchases of non-residential program participants in megawatt-hours divided by total eligible non- residential electrical usage.

Wiser, Ryan; Olson, Scott; Bird, Lori; Swezey, Blair

2004-01-01T23:59:59.000Z

89

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate...  

NLE Websites -- All DOE Office Websites (Extended Search)

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008...

90

Estimating Hourly All-Sky Solar Irradiation Components from Meteorological Data  

Science Conference Proceedings (OSTI)

A new method to calculate hourly direct beam and diffuse irradiation on a horizontal surface using 3-h standard meteorological data is described. Comparisons of computed and observed irradiations are made with hourly data obtained in Carpentras ...

F. Kermel

1988-02-01T23:59:59.000Z

91

Seasonal Variations in the Diurnal Characteristics of Heavy Hourly precipitation across the United States  

Science Conference Proceedings (OSTI)

Hourly precipitation data from 1967 to 1983 for the coterminous, United States were harmonically analyzed in order to document the diurnal variability of several categories of heavy hourly precipitation during winter, spring, summer, and autumn. ...

Julie A. Winkler; Brent R. Skeeter; Paul D. Yamamoto

1988-08-01T23:59:59.000Z

92

Question of the Week: How Are You Observing Earth Hour? | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Are You Observing Earth Hour? Are You Observing Earth Hour? Question of the Week: How Are You Observing Earth Hour? March 26, 2009 - 12:16pm Addthis This Saturday, March 28th, people around the world will observe Earth Hour at 8:30 p.m. local time-whatever the local time zone happens to be-by switching off their lights for one hour. While many people are taking part by simply shutting off their lights and lighting some candles, some communities are hosting gatherings or events around Earth Hour. How are you observing Earth Hour? Each Thursday, you have the chance to share your thoughts on a topic related to energy efficiency or renewable energy for consumers. Please e-mail your responses to the Energy Saver team at consumer.webmaster@nrel.gov. Addthis Related Articles Question of the Week: How Will You Save Energy this Spring?

93

SAS Output  

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

5. Unit of Measure Equivalents 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 Terawatthours (TWh) 1,000,000,000,000 (One Trillion) Watthours Gigawatthours 1,000,000 (One Million) Kilowatthours Thousand Gigawatthours 1,000,000,000(One Billion Kilowatthours U.S. Dollar 1,000 (One Thousand) Mills U.S. Cent 10 (Ten) Mills Barrel of Oil 42 Gallons

94

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time March 27, 2009 - 6:00am Addthis John Lippert The city of Greenbelt, Maryland, where I live, is living up to its "green" name by participating in Earth Hour. This global event asks everyone to "go dark" for an hour to make a powerful statement of concern about climate change. The city will be turning off all non-essential lights in municipal buildings. Residents are requested to turn off their lights (and other energy-consuming appliances). The Greenbelt Advisory Committee on Environmental Sustainability, which advises the mayor and city council and which I chair, will be sponsoring a flashlight walk around Old Greenbelt during Earth Hour. My wife and I will

95

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time March 27, 2009 - 6:00am Addthis John Lippert The city of Greenbelt, Maryland, where I live, is living up to its "green" name by participating in Earth Hour. This global event asks everyone to "go dark" for an hour to make a powerful statement of concern about climate change. The city will be turning off all non-essential lights in municipal buildings. Residents are requested to turn off their lights (and other energy-consuming appliances). The Greenbelt Advisory Committee on Environmental Sustainability, which advises the mayor and city council and which I chair, will be sponsoring a flashlight walk around Old Greenbelt during Earth Hour. My wife and I will

96

National Renewable Energy Laboratory  

E-Print Network (OSTI)

Wh kilowatt-hour LED light emitting diode MECO Maui Electric Company MWh megawatt-hour NAECA National-generation technologies, such as seawater air-conditioning (SWAC) and Light-emitting diodes (LEDs), as an addendum

97

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

next days hourly electricity prices? ( CHECK ONLY ONE ) 1.to Real Time Electricity Prices, Unpublished Manuscript atahead Wholesale Market Electricity Prices: Case Study of RTP

2005-01-01T23:59:59.000Z

98

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

facilities that receive electricity service from Niagaraperiods is your facilitys electricity use highest? ( CHECKthe next days hourly electricity prices? ( CHECK ONLY ONE )

2005-01-01T23:59:59.000Z

99

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size: Preprint  

DOE Green Energy (OSTI)

In this paper, we analyze sub-hourly ramping requirements and the benefit of combining Balancing Authority operations with significant wind penetrations.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

100

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

nature of electric service and usage, defining the hoursElectric. 12 The resulting evaluation report estimated elasticities and found measurable reductions in energy usage

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Intra-hour Direct Normal Irradiance solar forecasting using genetic programming  

E-Print Network (OSTI)

UNIVERSITY OF CALIFORNIA, SAN DIEGO Intra-hour Direct NormalChair University of California, San Diego iii TABLE OFRPS, Technical report, California Independent System

Queener, Benjamin Daniel

2012-01-01T23:59:59.000Z

102

Quantification of Variability and Uncertainty in Hourly NOx Emissions from Coal-Fired Power Plants  

E-Print Network (OSTI)

1 Quantification of Variability and Uncertainty in Hourly NOx Emissions from Coal-Fired Power to quantify variability and uncertainty for NOx emissions from coal-fired power plants. Data for hourly NOx Uncertainty, Variability, Emission Factors, Coal-Fired Power Plants, NOx emissions, Regression Models

Frey, H. Christopher

103

Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices  

E-Print Network (OSTI)

1 Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices Sumit Mitra Ignacio;2 Motivation of this work · Deregulation of the electricity markets caused electricity prices to be highly? (retrofit) · Challenge: Multi-scale nature of the problem! Hourly varying electricity prices vs. 10-15 years

Grossmann, Ignacio E.

104

Cloudy Sky Version of Bird's Broadband Hourly Clear Sky Model (Presentation)  

DOE Green Energy (OSTI)

Presentation on Bird's Broadband Hourly Clear Sky Model given by NREL's Daryl Myers at SOLAR 2006. The objective of this report is to produce ''all sky'' modeled hourly solar radiation. This is based on observed cloud cover data using a SIMPLE model.

Myers, D.

2006-08-01T23:59:59.000Z

105

Multi-hour network planning based on domination between sets of traffic matrices  

Science Conference Proceedings (OSTI)

In multi-hour network design, periodic traffic variations along time are considered in the dimensioning process. Then, the non coincidence of traffic peaks along the day or the week can be exploited. This paper investigates the application of the traffic ... Keywords: Multi-hour traffic, Network planning, Traffic domination

P. Pavon-Marino; B. Garcia-Manrubia; R. Aparicio-Pardo

2011-02-01T23:59:59.000Z

106

Derivation of 24-Hour Average SO2, Background for the Update 1 Report |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Derivation of 24-Hour Average SO2, Background for the Update 1 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 documentation for "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Unit 1 Emissions in a Cycling Mode" this memo documents the fact that the observed 24-hour SO2 background concentrations during periods when meteorological conditions produce the highest impacts from Unit 1. Derivation of 24-Hour Average SO2, Background for the Update 1 Report More Documents & Publications Review of the ENSR Report Titled "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant"

107

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Mirant: 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 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 Answer of Potomac Electric Power Company and PJM lnterconnection, L.L.C. to the October 6, 2005 motion filed by the Virginia Department of Environmental Quality Special Environmental Analysis For Actions Taken under U.S. Department of Energy Emergency Orders Regarding Operation of the Potomac River Generating

108

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" ,,"Choke","Average","Average","Fluid","Methanol","Water","Oil","Gas","Hyd. Eq.","Gas" ,"Choke","Setting","Upstream","Upstream","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery" "Date and Time","Setting","Duration","Pressure","Temp.","Rate","Rate","Rate","Rate","Rate","Rate","Portion" "dd-mmm-yy","(64ths)","(hours)","(psia)","(degF)","(bfpd)","(bfpd)","(bwpd)","(bopd)","(mmcfpd)","(boepd)","(%)"

109

DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

265 Million Hours of Supercomputing Time to Advance 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 donated in the Department's history and three times that of last year's award. The projects-with applications from aeronautics to astrophysics, and from climate change to combustion research-were chosen based on their potential breakthroughs in the science and engineering research and their suitability of the project for using supercomputers. These awards will

110

Commercial and Residential Hourly Load Data Now Available on OpenEI! |  

Open Energy Info (EERE)

Commercial and Residential Hourly Load Data Now Available on OpenEI! Commercial and Residential Hourly Load Data Now Available on OpenEI! Home > Groups > Utility Rate Sfomail's picture Submitted by Sfomail(48) Member 17 May, 2013 - 12:03 building load building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL I am pleased to announce that simulated hourly residential and commercial building load datasets are now available on OpenEI. These datasets are available for all TMY3 locations in the United States. They contain hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). In addition to various

111

Oak Ridge: Approaching 4 Million Safe Work Hours | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Ridge: Approaching 4 Million Safe Work Hours Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours March 11, 2013 - 12:03pm Addthis Safety inspections are a key element in a nuclear cleanup environment with large pieces of cleanup equipment. Inspections are essential to continuing safety success and reaching new milestones.| Photo courtesy of Oak Ridge Safety inspections are a key element in a nuclear cleanup environment with large pieces of cleanup equipment. Inspections are essential to continuing safety success and reaching new milestones.| Photo courtesy of Oak Ridge David Sheeley Editor/Writer for Environmental Management's Office of External Affairs 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

112

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Ethiopia from DLR Ethiopia from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Ethiopia. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GHI hourly data solar SWERA TILT UNEP Data application/zip icon Download data (zip, 2.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

113

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

NLE Websites -- All DOE Office Websites (Extended Search)

Workers Reach Two Million Man-Hours 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 (WIPP) reached a safety milestone Feb. 19 by working two million man-hours without a lost-time accident. According to the National Safety Council, facilities with the same industry code as WIPP lose an average of 20.6 workdays (or 164.8 man-hours) a year to accidents. "Safety is at the core of all WIPP operations," said Dr. Inés Triay, Manager of DOE's Carlsbad Field Office. "We are particularly pleased that WIPP workers reached the two million mark during the time in which they mined a new panel and increased shift work." "To make safety a number one priority means more than creating a safe

114

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Kenya. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GHI hourly data Kenya solar SWERA TILT UNEP Data application/zip icon Download data (zip, 3.9 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

115

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

95 Million Hours of Supercomputing 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 some of the world's most powerful supercomputers as part of its 2007 Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. DOE's Under Secretary for Science Dr. Raymond Orbach presented the awards at the Council on Competitiveness in Washington, DC. Supercomputers are playing an increasingly important role in scientific

116

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

NLE Websites -- All DOE Office Websites (Extended Search)

Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours in VolunteerMatch Community Connections: Our link to Northern New Mexico Communities Latest Issue:Dec. 2013 - Jan. 2014 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 during flood season Volunteers help in many different roles including in healthcare. Contacts Editor Linda Anderman Email Community Programs Office Kurt Steinhaus Email So far, employees and retirees have volunteered more than 1.2 million volunteer hours. If you are a nonprofit organization that has Lab employees or retirees as

117

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Nepal. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GHI hourly data Nepal NREL solar SWERA TILT UNEP Data application/zip icon Download data (zip, 1.2 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

118

DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Awards 265 Million Hours of Supercomputing Time to Advance DOE Awards 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 donated in the Department's history and three times that of last year's award. The projects-with applications from aeronautics to astrophysics, and from climate change to combustion research-were chosen based on their potential breakthroughs in the science and engineering research and their suitability of the project for using supercomputers. These awards will

119

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Office of Science Awards 18 Million Hours of Supercomputing 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 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 most powerful supercomputers to help researchers in government labs, universities, and industry working on projects ranging from designing more efficient engines to better understanding Parkinson's disease. The allocations of computing time are made under DOE's Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program, now in its

120

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Sri Lanka sites from DLR Sri Lanka sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Sri Lanka. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GHI hourly data solar Sri Lanka SWERA TILT UNEP Data application/zip icon Download data (zip, 368.2 KiB) Quality Metrics Level of Review Some Review Comment

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Ghana. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI Ghana GHI hourly data solar SWERA TILT TMY UNEP Data application/zip icon ghanaDLRtimeseries_103.zip (zip, 2.7 MiB) Quality Metrics Level of Review Some Review Comment

122

Commercial and Residential Hourly Load Profiles for all TMY3 Locations in  

Open Energy Info (EERE)

and Residential Hourly Load Profiles for all TMY3 Locations in and Residential Hourly Load Profiles for all TMY3 Locations in the United States Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Hourly load profiles are available for over all TMY3 locations in the United States here. Browse files in this dataset, accessible as individual files and as commercial and residential downloadable ZIP files. This dataset is approximately 4.8GiB compressed or 19GiB uncompressed. July 2nd, 2013 update: Residential High and Low load files have been updated from 366 days in a year for leap years to the more general 365 days in a normal year.

123

Spatial and Temporal Characteristics of Heavy Hourly Rainfall in the United States  

Science Conference Proceedings (OSTI)

The climatology of heavy rain events from hourly precipitation observations by Brooks and Stensrud is revisited in this study using two high-resolution precipitation datasets that incorporate both gauge observations and radar estimates. Analyses ...

Nathan M. Hitchens; Harold E. Brooks; Russ S. Schumacher

2013-12-01T23:59:59.000Z

124

Determination of Semivariogram Models to Krige Hourly and Daily Solar Irradiance in Western Nebraska  

Science Conference Proceedings (OSTI)

In this paper, linear and spherical semivariogram models were determined for use in kriging hourly and daily solar irradiation for every season of the year. The data used to generate the models were from 18 weather stations in western Nebraska. ...

G. G. Merino; D. Jones; D. E. Stooksbury; K. G. Hubbard

2001-06-01T23:59:59.000Z

125

The Relationships between Network Lightning Surface and Hourly Observations of Thunderstorms  

Science Conference Proceedings (OSTI)

Relationships were established between lightning location data and surface hourly observations of thunderstorms for 132 stations in the northeastern United States. The relationships are based on statistics derived from 2 2 contingency tables ...

Ronald M. Reap; Richard E. Orville

1990-01-01T23:59:59.000Z

126

A simple method to downscale daily wind statistics to hourly wind data  

E-Print Network (OSTI)

Wind is the principal driver in the wind erosion models. The hourly wind speed data were generally required for precisely wind erosion modeling. In this study, a simple method to generate hourly wind speed data from daily wind statistics (daily average and maximum wind speeds together or daily average wind speed only) was established. A typical windy location with 3285 days (9 years) measured hourly wind speed data were used to validate the downscaling method. The results showed that the overall agreement between observed and simulated cumulative wind speed probability distributions appears excellent, especially for the wind speeds greater than 5 m s-1 range (erosive wind speed). The results further revealed that the values of daily average erosive wind power density (AWPD) calculated from generated wind speeds fit the counterparts computed from measured wind speeds well with high models' efficiency (Nash-Sutcliffe coefficient). So that the hourly wind speed data can be predicted from daily average and maximu...

Guo, Zhongling

2013-01-01T23:59:59.000Z

127

Improved Quality Assurance for Historical Hourly Temperature and Humidity: Development and Application to Environmental Analysis  

Science Conference Proceedings (OSTI)

Historical hourly surface synoptic (airways) meteorological reports from around the United States have been digitized as part of the NOAA Climate Database Modernization Program. An important component is improvement of quality assurance ...

Daniel Y. Graybeal; Arthur T. DeGaetano; Keith L. Eggleston

2004-11-01T23:59:59.000Z

128

How much carbon dioxide (CO 2 ) is produced per kilowatt-hour ...  

U.S. Energy Information Administration (EIA)

How much carbon dioxide (CO 2) is produced per kilowatt-hour when generating electricity with fossil fuels? You can calculate the amount of CO2 produced per kWh for ...

129

NREL Develops Sub-Hour Solar Power Data Set (Fact Sheet), NREL...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sub-Hour Solar Power Data Set NREL data will help utilities incorporate solar energy into their electric power systems. Large-scale deployment of solar energy requires a favorable...

130

A novel 2-D model approach for the prediction of hourly solar radiation  

Science Conference Proceedings (OSTI)

In this work, a two-dimensional (2-D) representation of the hourly solar radiation data is proposed. The model enables accurate forecasting using image prediction methods. One year solar radiation data that is acquired and collected between August 1, ...

F. Onur Hocaoglu; Nezih Gerek; Mehmet Kurban

2007-06-01T23:59:59.000Z

131

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size (Poster)  

DOE Green Energy (OSTI)

WindPower 2008 conference sponsored by AWEA held in Houston, TX on June 1-4 2008. This poster illustrates the data collected for an analysis of sub-hourly ramping impacts of wind energy and balancing area size.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

132

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

Energy.gov (U.S. Department of Energy (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.

133

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

Energy.gov (U.S. Department of Energy (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.

134

Cluster Analysis of Hourly Wind Measurements to Reveal Synoptic Regimes Affecting Air Quality  

Science Conference Proceedings (OSTI)

A clustering algorithm is developed to study hourly, ground-level wind measurements obtained from a network of monitoring stations positioned throughout the San Francisco Bay Area of California. A statistical model based on principal components ...

Scott Beaver; Ahmet Palazoglu

2006-12-01T23:59:59.000Z

135

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

Energy.gov (U.S. Department of Energy (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.

136

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

Energy.gov (U.S. Department of Energy (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.

137

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

Energy.gov (U.S. Department of Energy (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.

138

Hourly Rainfall Changes in Response to Surface Air Temperature over Eastern Contiguous China  

Science Conference Proceedings (OSTI)

In this study, late-summer rainfall over eastern contiguous China is classified according to hourly intensity and the changes of moderate, intense, and extreme precipitation in response to variation of surface air temperature are analyzed. The e-...

Rucong Yu; Jian Li

2012-10-01T23:59:59.000Z

139

6-Hour to 1-Year Variance of Five Global Precipitation Sets  

Science Conference Proceedings (OSTI)

Three-hourly time series of precipitation from three high-resolution precipitation products [Tropical Rainfall Measuring Mission (TRMM) algorithm 3B-42, the Climate Prediction Centers morphing method (CMORPH), and the Precipitation Estimation ...

Alex C. Ruane; John O. Roads

2007-08-01T23:59:59.000Z

140

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Bangladesh sites from DLR Bangladesh sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Bangladesh. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords Bangladesh DLR DNI GHI hourly data solar SWERA UNEP Data application/zip icon Download Data (zip, 1.2 MiB) Quality Metrics Level of Review Some Review Comment

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Pantex celebrates three million hours without a lost time injury | National  

NLE Websites -- All DOE Office Websites (Extended Search)

three million hours without a lost time injury | National three million hours without a lost time injury | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Pantex celebrates three million hours without a ... Pantex celebrates three million hours without a lost time injury Posted By Office of Public Affairs NNSA Blog NNSA Blog

142

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production - DOE Hydrogen and Fuel Cells Program FY 2012 Annual Progress Report  

NLE Websites -- All DOE Office Websites (Extended Search)

3 3 FY 2012 Annual Progress Report DOE Hydrogen and Fuel Cells Program Genevieve Saur (Primary Contact), Chris Ainscough. National Renewable Energy Laboratory (NREL) 15013 Denver West Parkway Golden, CO 80401-3305 Phone: (303) 275-3783 Email: genevieve.saur@nrel.gov DOE Manager HQ: Erika Sutherland Phone: (202) 586-3152 Email: Erika.Sutherland@ee.doe.gov Project Start Date: October 1, 2010 Project End Date: Project continuation and direction determined annually by DOE Fiscal Year (FY) 2012 Objectives Corroborate recent wind electrolysis cost studies using a * more detailed hour-by-hour analysis. Examine consequences of different system configuration * and operation for four scenarios, at 42 sites in five

143

Prediction of clock time hourly global radiation from daily values over  

Open Energy Info (EERE)

Prediction of clock time hourly global radiation from daily values over Prediction of clock time hourly global radiation from daily values over Bangladesh Dataset Summary Description (Abstract): A need for predicting hourly global radiation exists for many locations particularly in Bangladesh for which measured values are not available and daily values have to be estimated from sunshine data. The CPRG model has been used to predict values of hourly Gh for Dhaka (23.770N, 90.380E), Chittagong (22.270N, 91.820E) and Bogra (24.850N, 89.370E) for = ±7.50, ±22.50, ±37.50, ±52.50, ±67.50, ±82.50 and ±97.50 i.e., for ±1/2, ±3/2, ±5/2, ±7/2, ±9/2, ±11/2, ±13/2 hours before and after solar noon and the computed values for different months are symmetrical about solar noon whereas for many months experimental data show a clear asymmetry. To obtain improved

144

Oak Ridge: Approaching 4 Million Safe Work Hours | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Oak Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours February 27, 2013 - 12:00pm Addthis Mike Tidwell performs a leak check and inspection on propane tanks Mike Tidwell performs a leak check and inspection on propane tanks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks Inspections ensure hoisting and rigging equipment performs correctly so employees 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 employees can safely complete their tasks OAK RIDGE, Tenn. - Workers at URS | CH2M Oak Ridge (UCOR), the prime contractor for EM's Oak Ridge cleanup, are approaching a milestone of 4

145

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change  

NLE Websites -- All DOE Office Websites (Extended Search)

NOAA Awarded 2.6 NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008 WASHINGTON, DC - The U.S. Department of Energy's (DOE) Office of Science will make available more than 10 million hours of computing time for the U.S. Commerce Department's National Oceanic and Atmospheric Administration (NOAA) to explore advanced climate change models at three of DOE's national laboratories as part of a three-year memorandum of understanding on collaborative climate research signed today by the two agencies. NOAA will work with climate change models as well as perform near real-time high-impact (non-production) weather prediction research using computing time on DOE Office of Science resources including two of the world's top

146

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

China sites from DLR China sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in China. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords China DLR DNI GEF GHI solar SWERA UNEP Data application/zip icon Download Data (zip, 953.6 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

147

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

Science Conference Proceedings (OSTI)

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.

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

2012-12-01T23:59:59.000Z

148

Developing hourly weather data for locations having only daily weather data  

Science Conference Proceedings (OSTI)

A methodology was developed to modify an hourly TMY weather tape to be representative of a location for which only average daily weather parameters were avilable. Typical hourly and daily variations in solar flux, and other parameters, were needed to properly exercise a computer model to predict the transient performance of a solar controlled greenhouse being designed for Riyadh, Saudi Arabia. The starting point was a TMY tape for Yuma, Arizona, since the design temperatures for summer and winter are nearly identical for Yuma and Riyadh. After comparing six of the most important weather variables, the hourly values on the Yuma tape were individually adjusted to give the same overall daily average conditions as existed in the long-term Riyadh data. Finally, a statistical analysis was used to confirm quantitatively that the daily variations between the long term average values for Riyadh and the modified TMY weather tape for Yuma matched satisfactorily.

Talbert, S.G.; Herold, K.E.; Jakob, F.E.; Lundstrom, D.K.

1983-06-01T23:59:59.000Z

149

Amp-hour counting charge control for photovoltaic hybrid power systems  

SciTech Connect

An amp-hour counting battery charge control algorithm has been defined and tested using the Digital Solar Technologies MPR-9400 microprocessor based photovoltaic hybrid charge controller. This work included extensive laboratory and field testing of the charge algorithm on vented lead-antimony and valve regulated lead-acid batteries. The test results have shown that with proper setup amp-hour counting charge control is more effective than conventional voltage regulated sub-array shedding in returning the lead-acid battery to a high state of charge.

Hund, T.D. [Sandia National Labs., Albuquerque, NM (United States); Thompson, B. [Biri Systems, Ithaca, NY (United States)

1997-10-01T23:59:59.000Z

150

NETL: News Release - DOE Awards Local Researcher with 3 Million Hours on  

NLE Websites -- All DOE Office Websites (Extended Search)

8, 2008 8, 2008 DOE Awards Local Researcher with 3 Million Hours on Premier Supercomputer Morgantown, W.Va.-The U.S. Department of Energy's (DOE) Office of Science announced today that a scientist at DOE's National Energy Technology Laboratory (NETL) has been awarded 3 million hours of processor time to conduct advanced research on fossil fuel power plants on one of the world's most powerful supercomputers. http://energy.gov/news/5849.htm The Office of Science awarded the supercomputer hours to Madhava Syamlal, a scientist at NETL, as one of 55 nationwide recipients who received a total of 265 million processor hours. Syamlal, along with his team of co-investigators, will use the powerful Cray XT4 supercomputer at ORNL to vastly increase the speed of coal gasifier simulations to aid in the design and optimization of the power plants. His team is composed of Thomas O'Brien (NETL), Chris Guenther (NETL), Sreekanth Pannala (ORNL), Ramanan Sankaran (ORNL), and Aytekin Gel (Aeolus Research Inc.).

151

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

SciTech Connect

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.

Razuvaev, V.N.; Apasova, E.B.; Martuganov, R.A. [All-Russian Research Inst. of Hydrometeorologicl Information, Obninsk (Russia). World Data Centre; Kaiser, D.P. [Oak Ridge National Lab., TN (United States)

1995-04-01T23:59:59.000Z

152

Thirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago  

E-Print Network (OSTI)

than 30 countries signed a deal on Tuesday to build the world's most advanced nuclear fusion reactor nuclear reactors, but critics argue it could be at least 50 years before a commercially viable reactorThirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago Representatives of more

153

NREL RSF Weather Data 2011 A csv containing hourly weather data...  

Open Energy Info (EERE)

NREL RSF Weather Data 2011 A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011. 2013-02-12T18:36:26Z 2013-02-12T18:36:26Z I am submitting...

154

REDCap 102 Training Session This two-hour session presented by Heather Kim  

E-Print Network (OSTI)

at Vanderbilt. This version of REDCap is main- tained by the UIC Design and Analysis Core, and is offeredREDCap 102 Training Session This two-hour session presented by Heather Kim will explore some Capture) is a secure, web- based application for building and managing online databases for the collection

Illinois at Chicago, University of

155

REDCap 102 Training Session This two-hour session presented by John O'Keefe  

E-Print Network (OSTI)

REDCap team at Vanderbilt. This version of REDCap is main- tained by the UIC Design and Analysis CoreREDCap 102 Training Session This two-hour session presented by John O'Keefe will explore some Data Capture) is a secure, web- based application for building and managing online databases

Illinois at Chicago, University of

156

Sams Teach Yourself Paint Shop Pro 6 in 24 Hours, 1st edition  

Science Conference Proceedings (OSTI)

From the Publisher:This easily accessible tutorial uses a friendly, conversational approach to teach you the basics of Paint Shop Pro 6. With its careful, step-by-step approach, Sams Teach Yourself Paint Shop Pro 6 in 24 Hours makes it easy even for ...

T. Michael Clark; Michael Clark / Kris Tufto

1999-11-01T23:59:59.000Z

157

Climatology of Heavy Rain Events in the United States from Hourly Precipitation Observations  

Science Conference Proceedings (OSTI)

Flash flooding is frequently associated with heavy precipitation (defined here as ?1 in. h?1) occurring over a short period of time. To begin a study of flash floodproducing rain events, the Hourly Precipitation Dataset (HPD) is used to develop ...

Harold E. Brooks; David J. Stensrud

2000-04-01T23:59:59.000Z

158

From the Big Bang to the Higgs Boson in Less Than an Hour  

E-Print Network (OSTI)

From the Big Bang to the Higgs Boson in Less Than an Hour Jeffrey D H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum expectation value Strong) photon Z boson W bosons H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum

Fygenson, Deborah Kuchnir

159

From the Big Bang to the Higgs Boson in Less Than an Hour  

E-Print Network (OSTI)

From the Big Bang to the Higgs Boson in Less Than an Hour Jeffrey D neutrino Z0 W + W -g gluon (8) photon Z boson W bosons Quarks Leptons H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum expectation value Strong force EM force Weak force #12;Par7cles

Fygenson, Deborah Kuchnir

160

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

E-Print Network (OSTI)

(e.g., HVAC) for a specific building, optimizing control systems and strategies for a buildingPredicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study Richard building energy modeling suffers from several factors, in- cluding the large number of inputs required

Tennessee, University of

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Fuel Cell Stacks Still Going Strong After 5,000 Hours  

Energy.gov (U.S. Department of Energy (DOE))

Two fuel cell stacks developed by FuelCell Energy in partnership with Versa Power Systems achieved 5,000 hours of service in February, meeting a goal of the U.S. Department of Energy's Solid State Energy Conversion Alliance.

162

EMERGENCY CONTACTS for DOWNER LAB Contact Phone After Hours Purpose/Additional Info  

E-Print Network (OSTI)

EMERGENCY CONTACTS for DOWNER LAB Contact Phone After Hours Purpose/Additional Info UT Police.utexas.edu/facilities/services for further information and non-emergency service request forms) Environmental Health & Safety 471-3511 911 emergencies, call 911 or go to a local hospital emergency room. (see healthyhorns.utexas.edu/emergencies

Shvets, Gennady

163

Development of global hourly 0.5-degree land surface air temperature datasets  

Science Conference Proceedings (OSTI)

Land surface air temperature (SAT) is one of the most important variables in weather and climate studies, and its diurnal cycle and day-to-day variation are also needed for a variety of applications. Global long-term hourly SAT observational data, ...

Aihui Wang; Xubin Zeng

164

Development of Global Hourly 0.5 Land Surface Air Temperature Datasets  

Science Conference Proceedings (OSTI)

Land surface air temperature (SAT) is one of the most important variables in weather and climate studies, and its diurnal cycle is also needed for a variety of applications. Global long-term hourly SAT observational data, however, do not exist. ...

Aihui Wang; Xubin Zeng

2013-10-01T23:59:59.000Z

165

TEAM Initiative Renewabloe Energy Projects Take Shape  

NLE Websites -- All DOE Office Websites (Extended Search)

an estimated 1,200 megawatt-hours (MWh) of clean, renewable electric power annually from solar energy. It is expected to be completed by Fall 2008. Phase 2 projects include a 1.1...

166

Renewable Portfolio Standards in the United States - A Status Report with Data Through 2007  

E-Print Network (OSTI)

LSE MISO M-RETS MSW MW MWh PJM POU PRC PSC PUC PV REC RPSelectric service provider PJM Generation Attributes Trackingwaste megawatt megawatt-hour PJM Interconnection publicly

Wiser, Ryan

2008-01-01T23:59:59.000Z

167

FEMP Focus: Fall 2003 Issue  

NLE Websites -- All DOE Office Websites (Extended Search)

event of utility interruptions, and will provide 68 percent (56,402 megawatt-hours per year) of the Base's electricity requirement. FEMP Focus: As a FEMP constituent, how do you...

168

Fuel Mix and Emissions Disclosure  

Energy.gov (U.S. Department of Energy (DOE))

Iowa adopted regulations in 2003 that generally require rate-regulated electric utilities to disclose to customers the fuel mix and estimated emissions, in pounds per megawatt-hour (MWh), of...

169

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

NLE Websites -- All DOE Office Websites (Extended Search)

Construction hits one ... 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 celebration was held today to mark the safety milestone. Senior leaders from National Nuclear Security Administration Production Office (NPO) and B&W Y-12 were on hand to congratulate the workers. Jim Haynes, B&W Y-12 senior vice president and deputy general manager for projects, said, "Congratulations are due the men and women of

170

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

NLE Websites -- All DOE Office Websites (Extended Search)

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster 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 followed by practical guides for managing the focused history, physical exam, laboratory tests, initial treatment, and disposition of victims of acute radiation syndrome and combined injury. The guides are not intended to serve as a hospital's "emergency

171

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hourly Analysis Program (HAP) version 4.40.0.61 Hourly Analysis Program (HAP) version 4.40.0.61 On this page you'll find information about the HAP version 4.40.0.61 qualified computer software (buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings. Date Documentation Received by DOE: 10 April 2009 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements. (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221

172

Effects of electric utility residential conservation programs on hourly load profiles  

SciTech Connect

This paper discusses the potential of using hourly energy simulation models to determine load shape changes resulting from energy conservation activities. It is determined that shifts in the time and the day of the monthly peak demand may occur as the level of conservation increases. The shifting of the peak was from weather-sensitive periods to less-weather-sensitive periods. Seasonal load profile changes resulting from energy conservation were demonstrated. A statistically significant quadratic relationship was identified between the annual percent reduction and annual percent energy conserved for the different distribution systems examined. The relationships are examined between different levels of residential energy conservation from weatherization and heat pumps on the hourly load profiles of different power distribution systems within the TVA power service area.

Harper, J.P.; Sieber, R.E.

1983-01-01T23:59:59.000Z

173

Hourly analysis of a very large topically categorized web query log  

E-Print Network (OSTI)

We review a query log of hundreds of millions of queries that constitute the total query traffic for an entire week of a generalpurpose commercial web search service. Previously, query logs have been studied from a single, cumulative view. In contrast, our analysis shows changes in popularity and uniqueness of topically categorized queries across the hours of the day. We examine query traffic on an hourly basis by matching it against lists of queries that have been topically pre-categorized by human editors. This represents 13 % of the query traffic. We show that query traffic from particular topical categories differs both from the query stream as a whole and from other categories. This analysis provides valuable insight for improving retrieval effectiveness and efficiency. It is also relevant to the development of enhanced query disambiguation, routing, and caching algorithms.

Steven M. Beitzel; Eric C. Jensen; Abdur Chowdhury; David Grossman; Ophir Frieder

2004-01-01T23:59:59.000Z

174

Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R.  

NLE Websites -- All DOE Office Websites (Extended Search)

Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R. Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R. Stations (NDP-048) DOI: 10.3334/CDIAC/cli.ndp048 image PDF image Data image Previous Data (data through 1990, published in 1998) image Investigators Contributed by V. N. Razuvaev, E. B. Apasova, R. A. Martuganov All-Russian Research Institute of Hydrometeorological Information-World Data Centre Obninsk, Russia Prepared by D. P. Kaiser and G. P. Marino (contact: kaiserdp@ornl.gov) Carbon Dioxide Information Analysis Center Oak Ridge National Laboratory Oak Ridge, Tennessee Date Published: November 2007

175

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hourly Analysis Program (HAP) version 4.41.0.6 Hourly Analysis Program (HAP) version 4.41.0.6 On this page you'll find information about the HAP version 4.41.0.6 qualified computer software (buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings. Date Documentation Received by DOE: 10 April 2009 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements. (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221

176

Day-Ahead/Hour-Ahead Forecasting for Demand Trading: A Guidebook  

Science Conference Proceedings (OSTI)

Demand trading can be an effective hedge against wholesale power price spikes during times of constraint. However, it also can be a high-risk venture. Profitability depends on reliable demand forecasting. Short-term load forecasting (STLF) can minimize the risks of day-ahead purchasing by providing better predictions at the system level. Additionally, STLF can reduce hour-ahead spot market risks and directly support demand trading by providing more accurate assessments of incremental load reductions from...

2001-12-20T23:59:59.000Z

177

Day-Ahead/Hour-Ahead Forecasting for Demand Trading: A Guidebook  

Science Conference Proceedings (OSTI)

Download report 1006016 for FREE. Demand trading can be an effective hedge against wholesale power price spikes during times of constraint. However, it also can be a high-risk venture. Profitability depends on reliable demand forecasting. Short-term load forecasting (STLF) can minimize the risks of day-ahead purchasing by providing better predictions at the system level. Additionally, STLF can reduce hour-ahead spot market risks and directly support demand trading by providing more accurate assessments o...

2001-12-20T23:59:59.000Z

178

An Hourly-Based Performance Comparison of an Integrated Micro-Structural  

NLE Websites -- All DOE Office Websites (Extended Search)

An Hourly-Based Performance Comparison of an Integrated Micro-Structural An Hourly-Based Performance Comparison of an Integrated Micro-Structural Perforated Shading Screen with Standard Shading Systems Title An Hourly-Based Performance Comparison of an Integrated Micro-Structural Perforated Shading Screen with Standard Shading Systems Publication Type Journal Article LBNL Report Number LBNL-5521E Year of Publication 2012 Authors Appelfeld, David, Andrew McNeil, and Svend Svendsen Journal Energy and Buildings Volume 50 Issue July 2012 Keywords building performance modelling, complex fenestration system, daylight, shading, solar gains Abstract This article evaluates the performance of an integrated micro structural perforated shading screen (MSPSS). Such a system maintains a visual connection with the outdoors while imitating the shading functionality of a venetian blind. Building energy consumption is strongly influenced by the solar gains and heat transfer through the transparent parts of the fenestration systems. MSPSS is angular-dependent shading device that provides an effective strategy in the control of daylight, solar gains and overheating through windows. The study focuses on using direct experimental methods to determine bi-directional transmittance properties of shading systems that are not included as standard shading options in readily available building performance simulation tools. The impact on the indoor environment, particularly temperature and daylight were investigated and compared to three other static complex fenestration systems. The bi-directional description of the systems was used throughout the article. The simulations were validated against outdoor measurements of solar and light transmittance.

179

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

Science Conference Proceedings (OSTI)

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.

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

2012-05-09T23:59:59.000Z

180

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

DOE Green Energy (OSTI)

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.

Veselka, T.D.; Hamilton, S. [Argonne National Lab., IL (United States); McCoy, J. [Western Area Power Administration, Salt Lake City, UT (United States)

1995-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Reliability analysis of solar photovoltaic system using hourly mean solar radiation data  

Science Conference Proceedings (OSTI)

This paper presents the hourly mean solar radiation and standard deviation as inputs to simulate the solar radiation over a year. Monte Carlo simulation (MCS) technique is applied and MATLAB program is developed for reliability analysis of small isolated power system using solar photovoltaic (SPV). This paper is distributed in two parts. Firstly various solar radiation prediction methods along with hourly mean solar radiation (HMSR) method are compared. The comparison is carried on the basis of predicted electrical power generation with actual power generated by SPV system. Estimation of solar photovoltaic power using HMSR method is close to the actual power generated by SPV system. The deviation in monsoon months is due to the cloud cover. In later part of the paper various reliability indices are obtained by HMSR method using MCS technique. Load model used is IEEE-RTS. Reliability indices, additional load hours (ALH) and additional power (AP) reduces exponentially with increase in load indicates that a SPV source will offset maximum fuel when all of its generated energy is utilized. Fuel saving calculation is also investigated. Case studies are presented for Sagardeep Island in West Bengal state of India. (author)

Moharil, Ravindra M. [Department of Electrical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra (India); Kulkarni, Prakash S. [Department of Electrical Engineering, Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur 440011, Maharashtra (India)

2010-04-15T23:59:59.000Z

182

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Mirant: 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. EO-05-01. Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours. Arial photograph showing plant and location of predicted SO2 violations, predicted in 2000. Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours More Documents & Publications Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 3, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 4, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by

183

Observed Temperature Effects on Hourly Residential Electric Load Reduction in Response to an Experimental Critical Peak Pricing Tariff  

E-Print Network (OSTI)

changes to retail electricity rates on an hourly or dailyweekdays 2004 [6] Most electricity rates in use today arerates with control technologies use 30- 40% less electricity

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

2005-01-01T23:59:59.000Z

184

Fault Detection of Hourly Measurements in District Heat and Electricity Consumption; Feldetektion av Timinsamlade Mtvrden i Fjrrvrme- och Elfrbrukning.  

E-Print Network (OSTI)

?? Within the next years, the amount of consumption data will increase rapidly as old meters will be exchanged in favor of meters with hourly (more)

Johansson, Andreas

2005-01-01T23:59:59.000Z

185

Public Interest Energy Research (PIER) Program Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)  

E-Print Network (OSTI)

level 4.4.3.1 National Energy Consumption per Raw-milkor final energy consumption on national or plant levels, andConsumption, or Energy Use Intensity (EUI) Greenhouse Gas Gigawatt Hours Lawrence Berkeley National

Xu, Tengfang

2013-01-01T23:59:59.000Z

186

Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)  

E-Print Network (OSTI)

level 4.4.3.1 National Energy Consumption per Raw-milkor final energy consumption on national or plant levels, andConsumption, or Energy Use Intensity (EUI) Greenhouse Gas Gigawatt Hours Lawrence Berkeley National

Xu, Tengfang

2013-01-01T23:59:59.000Z

187

FEMP Focus: Winter/Spring 2005 Issue  

NLE Websites -- All DOE Office Websites (Extended Search)

agencies reported purchasing almost 552 gigawatt-hours of green power, enough renewable electricity to service more than 54,000 average households a year. * More than 150 federal...

188

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

DOE Green Energy (OSTI)

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.

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

2012-09-01T23:59:59.000Z

189

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

Science Conference Proceedings (OSTI)

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.

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

2005-08-25T23:59:59.000Z

190

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

SciTech Connect

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.

Columbia River System Operation Review (U.S.)

1994-02-01T23:59:59.000Z

191

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

SciTech Connect

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.

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

2013-01-02T23:59:59.000Z

192

Small scale ethanol production: design manual. [10 to 15 gallons per hour  

DOE Green Energy (OSTI)

The purpose of the project was to design, fabricate, and evaluate a small scale continuous ethanol plant. The scope of the study was to satisfy four specific objectives. The first objective was to design a small scale continuous distillation unit capable of producing 10 to 15 gallons per hour of 170 to 190 proof ethanol. A second objective was to economically fabricate the distillation unit. A third objective was to thoroughly evaluate the unit with emphasis on production potential, operation considerations, and energy balance. The fourth objective was to work with the Farm Bureau in identifying an organization that would place the unit in a production environment. The results of the study indicate that the distillation unit is capable of producing and average of 9 to 14 gallons per hour (based on alcohol percent in beer) of 174 proof ethanol. The energy ratio for distillation is a positive 3:1. Once the unit has reached steady state very little operator attention is required with the exception of periodically refluxing. Material cost of the plate column is approximately $5000. The unit could be built by an individual provided he is trained in welding and has the necessary shop equipment. 39 figures, 12 tables.

Adcock, L.E. II; Eley, M.H.; Schroer, B.J.

1981-09-01T23:59:59.000Z

193

A 25-yr Climatology of Large-Amplitude Hourly Surface Pressure Changes over the Conterminous United States  

Science Conference Proceedings (OSTI)

Hourly surface pressure observations for a 25-yr period (194963; 198493) for the conterminous United States have been used to map the distribution of large hourly pressure changes defined as falls or rises in excess of 4.25 hPa. Initially, 8431 ...

Lorna L. Koppel; Lance F. Bosart; Daniel Keyser

2000-01-01T23:59:59.000Z

194

27 gigawatts of coal-fired capacity to retire over next five years ...  

U.S. Energy Information Administration (EIA)

Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. ... Availability of the combined-cycle plant fleet.

195

27 gigawatts of coal-fired capacity to retire over next five years ...  

U.S. Energy Information Administration (EIA)

Availability of the combined-cycle plant fleet. The availability of highly efficient natural gas combined-cycle power plants that are currently not fully utilized.

196

SF 6432-TM Standard Terms and Conditions for Time and Materials Labor Hour Contracts  

NLE Websites -- All DOE Office Websites (Extended Search)

TM (04-95) TM (04-95) Sections II & III SECTION II STANDARD TERMS AND CONDITIONS FOR TIME AND MATERIAL OR LABOR HOURS CONTRACTS INDEX OF CLAUSES THE FOLLOWING CLAUSES APPLY TO THIS CONTRACT AS INDICATED UNLESS SPECIFICALLY DELETED, OR EXCEPT TO THE EXTENT THEY ARE SPECIFICALLY SUPPLEMENTED OR AMENDED IN WRITING IN THE SIGNATURE PAGE OR SECTION I. No. Title Page "A" Clauses apply to Requests for Quotation and Contracts at any value A10 Definitions 2 A11 Unclassified Contract 2 A12 Assignment 2 *A13 Releases Void 2 *A14 Notice of Labor Disputes 2 *A16 Contractor's Information 2 A17 Delegated Representatives 2 *A18 Defense Priority and Allocation System 2 A19 Terms and Conditions 3 *A20 Permits 3 *A23 Applicable Law 3 *A24 Contractor Records Retention 3 A25 Commerce in Explosives, Firearms and

197

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1 1 On this page you'll find information about the Hourly Analysis Program (HAP) version 4.31 qualified computer software (www.buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings (www.buildings.energy.gov/commercial/). Date Documentation Received by DOE: 17 August 2006 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221 (2) The name, email address, and

198

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4 4 On this page you'll find information about the Hourly Analysis Program (HAP) version 4.34 qualified computer software (www.buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings (www.buildings.energy.gov/commercial/). Date Documentation Received by DOE: 10 August 2007 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221 (2) The name, email address, and

199

High Temperature Solid-Oxide Electrolyzer 2500 Hour Test Results At The Idaho National Laboratory  

DOE Green Energy (OSTI)

The Idaho National Laboratory (INL) has been developing the concept of using solid oxide fuel cells as electrolyzers for large-scale, high-temperature (efficient), hydrogen production. This program is sponsored by the U.S. Department of Energy under the Nuclear Hydrogen Initiative. Utilizing a fuel cell as an electrolyzer introduces some inherent differences in cell operating conditions. In particular, the performance of fuel cells operated as electrolyzers degrades with time faster. This issue of electrolyzer cell and stack performance degradation over time has been identified as a major barrier to technology development. Consequently, the INL has been working together with Ceramatec, Inc. (Salt Lake City, Utah) to improve the long-term performance of high temperature electrolyzers. As part of this research partnership, the INL conducted a 2500 hour test of a Ceramatec designed and produced stack operated in the electrolysis mode. This paper will provide a summary of experimental results to date for this ongoing test.

Carl Stoots; James O'Brien; Stephen Herring; Keith Condie; Lisa Moore-McAteer; Joseph J. Hartvigsen; Dennis Larsen

2009-11-01T23:59:59.000Z

200

2500-Hour High Temperature Solid-Oxide Electrolyzer Long Duration Test  

DOE Green Energy (OSTI)

The Idaho National Laboratory (INL) has been developing the concept of using solid oxide fuel cells as electrolyzers for large-scale, high-temperature (efficient), hydrogen production. This program is sponsored by the U.S. Department of Energy under the Nuclear Hydrogen Initiative. Utilizing a fuel cell as an electrolyzer introduces some inherent differences in cell operating conditions. In particular, the performance of fuel cells operated as electrolyzers degrades with time faster. This issue of electrolyzer cell and stack performance degradation over time has been identified as a major barrier to technology development. Consequently, the INL has been working together with Ceramatec, Inc. (Salt Lake City, Utah) to improve the long-term performance of high temperature electrolyzers. As part of this research partnership, the INL conducted a 2500 hour test of a Ceramatec designed and produced stack operated in the electrolysis mode. This report will provide a summary of experimental results for this long duration test.

C. M. Stoots; J. E. O'Brien; K. G. Condie; L. Moore-McAteer; J. J. Hartvigsen; D. Larsen

2009-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

(Project title: E-mc2, A Two-Hour Television Program on NOVA)  

DOE Green Energy (OSTI)

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.

Susanne Simpson

2007-05-07T23:59:59.000Z

202

Meteorological Patterns Associated with Maximum 3-Hour Average Concentrations Predicted by the CRSTER Model for a Tall Stack Source  

Science Conference Proceedings (OSTI)

Regional meteorological patterns associated with maximum 3-hour average concentrations predicted by the U.S. EPA CRSTER model for emissions from a tall stack were examined for a limited sample. Causes of predicted peaks were the movements of weak ...

Paul N. Derezotes

1984-11-01T23:59:59.000Z

203

Wind Power Plants and System Operation in the Hourly Time Domain: Preprint  

DOE Green Energy (OSTI)

Because wind is an intermittent power source, the variability may have significant impacts on system operation. Part of the difficulty of analyzing the load following impact of wind is the inadequacy of most modeling frameworks to accurately treat wind plants and the difficulty of untangling causal impacts of wind plants from other dynamic phenomena. This paper presents a simple analysis of an hourly load-following requirement that can be performed without extensive computer modeling. The approach is therefore useful as a first step to quantifying these impacts when extensive modeling and data sets are not available. The variability that wind plants add to the electricity supply must be analyzed in the context of overall system variability. The approach used in this paper does just that. The results show that wind plants do have an impact on load following, but when calculated as a percentage of the installed wind plant capacity, this impact is not large. Another issue is the extent to which wind forecast errors add to imbalance. The relative statistical independence of wind forecast errors and load forecast errors can be used to help quantify the extent to which wind forecast errors impact overall system imbalances.

Milligan, M.

2003-05-01T23:59:59.000Z

204

After-hours Power Status of Office Equipment in the USA  

SciTech Connect

Office equipment is expected to be the fastest-growingsegment of commercial energy use over the next 20 years, yet many aspectsof office equipment energy use are poorly understood. User behavior, suchas turning off devices at night or enabling power management, influencesenergy use to a great extent. The computing environment also plays a roleboth in influencing user behavior and in the success of power management.Information about turn-off rates and power management rates for officeequipment was collected through a series of after-hours audits incommercial buildings. Sixteen businesses were recruited, includingoffices (small, medium and large offices in a variety of industries),schools, and medical buildings in California, Georgia, and Pennsylvania.The types and power states of office equipment found in these buildingswere recorded and analyzed. This article presents these data forcomputers, monitors, printers, copiers, fax machines, scanners andmulti-function devices. These data can be used to improve estimates ofboth energy consumption for these devices and savings from energyconservation efforts.

Webber, Carrie A.; Roberson, Judy A.; McWhinney, Marla C.; Brown,Richard E.; Pinckard, Margaret J.; Busch, John F.

2005-10-13T23:59:59.000Z

205

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

Science Conference Proceedings (OSTI)

Whole building input models for energy simulation programs are frequently created in order to evaluate specific energy savings potentials. They are also often utilized to maximize cost-effective retrofits for existing buildings as well as to estimate the impact of policy changes toward meeting energy savings goals. Traditional energy modeling suffers from several factors, including the large number of inputs required to characterize the building, the specificity required to accurately model building materials and components, simplifying assumptions made by underlying simulation algorithms, and the gap between the as-designed and as-built building. Prior works have attempted to mitigate these concerns by using sensor-based machine learning approaches to model energy consumption. However, a majority of these prior works focus only on commercial buildings. The works that focus on modeling residential buildings primarily predict monthly electrical consumption, while commercial models predict hourly consumption. This means there is not a clear indicator of which techniques best model residential consumption, since these methods are only evaluated using low-resolution data. We address this issue by testing seven different machine learning algorithms on a unique residential data set, which contains 140 different sensors measurements, collected every 15 minutes. In addition, we validate each learner's correctness on the ASHRAE Great Energy Prediction Shootout, using the original competition metrics. Our validation results confirm existing conclusions that Neural Network-based methods perform best on commercial buildings. However, the results from testing our residential data set show that Feed Forward Neural Networks, Support Vector Regression (SVR), and Linear Regression methods perform poorly, and that Hierarchical Mixture of Experts (HME) with Least Squares Support Vector Machines (LS-SVM) performs best - a technique not previously applied to this domain.

Edwards, Richard E [ORNL; New, Joshua Ryan [ORNL; Parker, Lynne Edwards [ORNL

2012-01-01T23:59:59.000Z

206

After-hours Power Status of Office Equipment and Inventory of Miscellaneous Plug-load Equipment  

Science Conference Proceedings (OSTI)

This research was conducted in support of two branches of the EPA ENERGY STAR program, whose overall goal is to reduce, through voluntary market-based means, the amount of carbon dioxide emitted in the U.S. The primary objective was to collect data for the ENERGY STAR Office Equipment program on the after-hours power state of computers, monitors, printers, copiers, scanners, fax machines, and multi-function devices. We also collected data for the ENERGY STAR Commercial Buildings branch on the types and amounts of ''miscellaneous'' plug-load equipment, a significant and growing end use that is not usually accounted for by building energy managers. This data set is the first of its kind that we know of, and is an important first step in characterizing miscellaneous plug loads in commercial buildings. The main purpose of this study is to supplement and update previous data we collected on the extent to which electronic office equipment is turned off or automatically enters a low power state when not in active use. In addition, it provides data on numbers and types of office equipment, and helps identify trends in office equipment usage patterns. These data improve our estimates of typical unit energy consumption and savings for each equipment type, and enables the ENERGY STAR Office Equipment program to focus future effort on products with the highest energy savings potential. This study expands our previous sample of office buildings in California and Washington DC to include education and health care facilities, and buildings in other states. We report data from twelve commercial buildings in California, Georgia, and Pennsylvania: two health care buildings, two large offices (> 500 employees each), three medium offices (50-500 employees), four education buildings, and one ''small office'' that is actually an aggregate of five small businesses. Two buildings are in the San Francisco Bay area of California, five are in Pittsburgh, Pennsylvania, and five are in Atlanta, Georgia.

Roberson, Judy A.; Webber, Carrie A.; McWhinney, Marla C.; Brown, Richard E.; Pinckard, Margaret J.; Busch, John F.

2004-01-22T23:59:59.000Z

207

Instructor's Name Email Address Office Hours Allen, Chris christopherallen@pdx.edu W 3:00-4:00pm CH 366  

E-Print Network (OSTI)

Instructor's Name Email Address Office Hours Office Location Allen, Chris christopherallen CH 361 Fall 2011 Instructor Office Hours #12;Pickett-Cooper, Patty pickettp@pdx.edu F 11:30-1:30pm CH

208

[14] DIRECT TRANSFER ELECTROPHORESIS 187 which usually takes less than an hour. The database should be monitored  

E-Print Network (OSTI)

[14] DIRECT TRANSFER ELECTROPHORESIS 187 which usually takes less than an hour. The database should MemorialScholarship, and M.S.C. by AppliedBiosystems. [14] DNA Sequencing with Direct Transfer are preparative electrophoresis methods and direct transfer electro- phoresis. ~°In direct transfer

Church, George M.

209

Energy savings can be communicated in terms of kilowatt hours (energy), carbon (climate change) or pounds (cost).  

E-Print Network (OSTI)

AIM Energy savings can be communicated in terms of kilowatt hours (energy), carbon (climate change for saving energy and impact subsequent perceptions and behaviour. A particular focus here is behaviour beyond immediate energy consumption behaviour, i.e., more general environmental behaviours. SOCIAL VALUES

McAuley, Derek

210

Evaluation of Cold-Season Precipitation Forecasts Generated by the Hourly Updating High-Resolution Rapid Refresh Model  

Science Conference Proceedings (OSTI)

The hourly updating High-Resolution Rapid Refresh (HRRR) model is evaluated with regard to its ability to predict the areal extent of cold-season precipitation and accurately depict the timing and location of regions of snow, rain, and mixed-phase ...

Kyoko Ikeda; Matthias Steiner; James Pinto; Curtis Alexander

2013-08-01T23:59:59.000Z

211

An improved procedure for developing a calibrated hourly simulation model of an electrically heated and cooled commercial building  

E-Print Network (OSTI)

With the increased use of building energy simulation programs, calibration of simulated data to measured data has been recognized as an important factor in substantiating how well the model fits a real building. Model calibration to measured monthly utility data has been utilized for many years. Recently, efforts have reported calibrated models at the hourly level. Most of the previous methods have relied on very simple comparisons including bar charts, monthly percent difference time-series graphs, and x-y scatter plots. A few advanced methods have been proposed as well which include carpet plots and comparative 3-D time-series plots. Unfortunately, at hourly levels of calibration, many of the traditional graphical calibration techniques become overwhelmed with data and suffer from data overlap. In order to improve upon previously established techniques, this thesis presents new calibration methods including temperature binned box-whisker-mean analysis to improve x-y scatter plots, 24-hour weather-daytype box-whisker-mean graphs to show hourly temperature-dependent energy use profiles, and 52-week box-whisker-mean plots to display long-term trends. In addition to the graphical calibration techniques, other methods are also used including indoor temperature calibration to improve thermostat schedules and architectural rendering as a means of verifying the building envelope dimensions and shading placement. Several statistical methods are also reviewed for their appropriateness including percent difference, mean bias error (MBE), and the coefficient of variation of the root mean squared error. Results are presented using a case study building located in Washington, D.C. In the case study building, nine months of hourly whole-building electricity data and site-specific weather data were measured and used with the DOE-2. 1D building simulation program to test the new techniques. Use of the new calibration procedures were able to produce a MBE of-0.7% and a CV(RMSE) of 23. 1 % which compare favorably with the most accurate hourly neural network models.

Bou-Saada, Tarek Edmond

1994-01-01T23:59:59.000Z

212

Handbook of solar energy data for south-facing surfaces in the United States. Volume II. Average hourly and total daily insolation data for 235 localities (Alaska - Montana)  

DOE Green Energy (OSTI)

Average hourly and daily total insolaion estimates are given for 235 US sites at a variety of array tilt angles. (MHR)

Smith, J.H.

1980-01-15T23:59:59.000Z

213

A Study on How the Electricity Market as a Whole and Consumers in Particular Could Benefit if More Consumers were to buy Electricity on Hourly Metering.  

E-Print Network (OSTI)

?? When consumers are able to buy electricity on an hourly instead of monthly basis, the demand side flexibility is likely to increase. One way (more)

Lundstrm, Fredrik

2010-01-01T23:59:59.000Z

214

OpenEI - hourly  

Open Energy Info (EERE)

are given by a location defined by the Typical Meteorological Year (TMY) for which the weather data was collected. Commercial load data is sorted by the (TMY) site as a...

215

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

NLE Websites -- All DOE Office Websites (Extended Search)

10/17/13 from 10/17/13 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 (0 Comments) 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. Post your comment You cannot post comments until you have logged in. Login Here. Comments No one has commented on this page yet. RSS feed for comments on this page | RSS feed for all comments User Announcements Email announcement archive Subscribe via RSS Subscribe Browse by Date November 2013 October 2013 September 2013 August 2013 March 2012 February 2012 January 2012

216

PDSF Office Hours 9/5/13 from 2:00 to 4:00 pm at LBNL  

NLE Websites -- All DOE Office Websites (Extended Search)

9/5/13 from 9/5/13 from 2:00 to 4:00 pm at LBNL PDSF Office Hours 9/5/13 from 2:00 to 4:00 pm at LBNL September 5, 2013 (0 Comments) I have biweekly office hours on Thursdays at LBNL. The next one is Thursday 9/5/13 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. Post your comment You cannot post comments until you have logged in. Login Here. Comments No one has commented on this page yet. RSS feed for comments on this page | RSS feed for all comments User Announcements Email announcement archive Subscribe via RSS Subscribe Browse by Date November 2013 October 2013 September 2013 August 2013 March 2012 February 2012 January 2012

217

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

SciTech Connect

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.

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

2005-11-14T23:59:59.000Z

218

The distribution of cloud cover over the former USSR as derived from the RIHMI 223-Station 3-hourly meteorological database  

SciTech Connect

In recent years a great deal of meteorological and climatological data has been exchanged between the two principal climate data centers of the United States and the former Soviet Union: the National Climatic Data Center (NCDC), in Asheville, North Carolina, and the Research Institute of Hydrometeorological Information (RIHMI) in Obninsk, Russia. This was accomplished via Working Group VIB (Influence of Environmental Changes on Climate) of the bilateral initiative known as the Agreement on Protection of the Environment, established on May 23, 1972 by the United States and the USSR. One of the key datasets compiled by RIHMI includes 3-hourly meteorological observations from 223 USSR stations for the period 1966-83. RIHMI has chosen to use daily and hourly data from these stations as the basis for considerable climate research efforts. These data (hereafter referred to as the RIHMI database) will soon be made available by both NCDC and the Department of Energy`s Carbon Dioxide Information Analysis Center (CDIAC) in Oak Ridge, Tennessee. The data have undergone extensive quality assurance checks at RIHMI, NCDC, and CDIAC. The data contain observations of some 22 meteorological variables, including near-surface air temperature, sea level pressure, precipitation amount, weather type, and total cloud cover. This study uses the RIHMI database to examine the spatial distribution of total cloud cover over the former USSR (hereafter referred to as the USSR). In this initial assessment, we focus on comparing our results with total cloud cover data presented in the atlas: Global Distribution of Total Cloud Cover and Cloud Type Amounts Over Land for the common data period 1971-81.

Kaiser, D.P.; Vose, R.S. [Oak Ridge National Lab., TN (United States); Karl, T.R. [National Climatic Data Center, Asheville, NC (United States); Razuvaev, V.N. [Research Institute of Hydrometeorological Information, Obninsk (Russian Federation)

1995-02-01T23:59:59.000Z

219

Forecasting Techniques The Use of Hourly Model-Generated Soundings to Forecast Mesoscale Phenomena. Part I: Initial Assessment in Forecasting Warm-Season Phenomena  

Science Conference Proceedings (OSTI)

Since late 1995, NCEP has made available to forecasters hourly model guidance at selected sites in the form of vertical profiles of various forecast fields. These profiles provide forecasters with increased temporal resolution and greater ...

Robert E. Hart; Gregory S. Forbes; Richard H. Grumm

1998-12-01T23:59:59.000Z

220

NREL Triples Previous Estimates of U.S. Wind Power Potential (Fact Sheet)  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) recently released new estimates of the U.S. potential for wind-generated electricity, using advanced wind mapping and validation techniques to triple previous estimates of the size of the nation's wind resources. The new study, conducted by NREL and AWS TruePower, finds that the contiguous 48 states have the potential to generate up to 37 million gigawatt-hours annually. In comparison, the total U.S. electricity generation from all sources was roughly 4 million gigawatt-hours in 2009.

Not Available

2011-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

After-hours power status of office equipment and energy use of miscellaneous plug-load equipment  

Science Conference Proceedings (OSTI)

This research was conducted in support of two branches of the EPA ENERGY STAR program, whose overall goal is to reduce, through voluntary market-based means, the amount of carbon dioxide emitted in the U.S. The primary objective was to collect data for the ENERGY STAR Office Equipment program on the after-hours power state of computers, monitors, printers, copiers, scanners, fax machines, and multi-function devices. We also collected data for the ENERGY STAR Commercial Buildings branch on the types and amounts of miscellaneous plug-load equipment, a significant and growing end use that is not usually accounted for by building energy managers. For most types of miscellaneous equipment, we also estimated typical unit energy consumption in order to estimate total energy consumption of the miscellaneous devices within our sample. This data set is the first of its kind that we know of, and is an important first step in characterizing miscellaneous plug loads in commercial buildings. The main purpose of this study is to supplement and update previous data we collected on the extent to which electronic office equipment is turned off or automatically enters a low power state when not in active use. In addition, it provides data on numbers and types of office equipment, and helps identify trends in office equipment usage patterns. These data improve our estimates of typical unit energy consumption and savings for each equipment type, and enables the ENERGY STAR Office Equipment program to focus future effort on products with the highest energy savings potential. This study expands our previous sample of office buildings in California and Washington DC to include education and health care facilities, and buildings in other states. We report data from sixteen commercial buildings in California, Georgia, and Pennsylvania: four education buildings, two medical buildings, two large offices (> 500 employees each), three medium offices (50-500 employees each), and five small business offices (< 50 employees each). Two buildings are in the San Francisco Bay are a of California, nine (including the five small businesses) are in Pittsburgh, Pennsylvania, and five are in Atlanta, Georgia.

Roberson, Judy A.; Webber, Carrie A.; McWhinney, Marla C.; Brown, Richard E.; Pinckard, Marageret J.; Busch, John F.

2004-05-27T23:59:59.000Z

222

Campus Crusade for Christ sponsors the nationally-financed PORN NATION, a one-hour multimedia event of faith-based testimony by  

E-Print Network (OSTI)

Campus Crusade for Christ sponsors the nationally-financed PORN NATION, a one-hour multimedia event of the American media. Leahy supplements this PORN NATION show with lectures at Baptist churches on the "maintenance of sexual purity and integrity." PORN and the Chris ian NATION Wedge Is sex inherently SINFUL

Gleeson, Joseph G.

223

The Influence of Variations in Surface Treatment on 24-Hour Forecasts with a Limited Area Model, Including a Comparison of Modeled and Satellite-Measured Surface Temperatures  

Science Conference Proceedings (OSTI)

The effect of variations in surface parameters on 24-hour limited area forecasts has been examined on a day in July 1981. The vehicle for the study is a ten-level primitive equation model covering most of the continental United States. Variations ...

George Diak; Stacey Heikkinen; John Rates

1986-01-01T23:59:59.000Z

224

Stat 503-1 Lecture 1 Mon. Aug. 22, 2011 Course Information and Policies [go over, office hours and midterm dates  

E-Print Network (OSTI)

.1.6) Study the relationships of body size and energy expenditure. Researchers measured fat-free body mass and 24-hour energy expenditure (repeated twice) for seven men. #12;2 Subject Energy- expenditure (in Kcal consumption and cholesterol levels (mg/dl). #12;3 - Study 2: Match subjects with gender, similar age

Xie, Jun

225

Instructor's Name Email Address Office Hours Alvarado, Jimena jimena@pdx.edu W 9:00-10:00am CH 368  

E-Print Network (OSTI)

:00-5:30pm CH 366 Olmsted, John (TA - Chris Harper) olmstedj@pdx.edu M 4:30-5:30pm CH 311 Spring 2011 Instructor Office Hours #12;Patka, Mazna (TA - Colleen Kidney) mpatka@pdx.edu TR 10:00-11:00am CH 367 Pickett

226

A Neural NetworksBased Fusion Technique to Estimate Half-Hourly Rainfall Estimates at 0.1 Resolution from Satellite Passive Microwave and Infrared Data  

Science Conference Proceedings (OSTI)

The purpose of this paper is to evaluate a new operational procedure to produce half-hourly rainfall estimates at 0.1 spatial resolution. Rainfall is estimated using a neural networks (NN)based approach utilizing passive microwave (PMW) and ...

Francisco J. Tapiador; Chris Kidd; Vincenzo Levizzani; Frank S. Marzano

2004-04-01T23:59:59.000Z

227

The InterHourly-Variability (IHV) Index of Geomagnetic Activity and its Use in Deriving the Long-term Variation of Solar Wind Speed  

E-Print Network (OSTI)

We describe the derivation of the InterHourly Variability (IHV) index of geomagnetic activity. The IHV-index for a geomagnetic element is mechanically derived from hourly values as the sum of the unsigned differences between adjacent hours over a seven-hour interval centered on local midnight. The index is derived separately for stations in both hemispheres within six longitude sectors using only local night hours. It is intended as a long-term index. Available data allows derivation of the index back well into the 19th century. On a time scale of a 27-day Bartels rotation, IHV averages for stations with corrected geomagnetic latitude less than 55 degrees are strongly correlated with midlatitude range indices. Assuming a constant calibration of the aa-index we find that observed yearly values of aa before the year 1957 are 2.9 nT too small compared to values calculated from IHV using the regression constants based on 1980-2004. We interpret this discrepancy as an indication that the calibration of the aa index is in error before 1957. There is no such problem with the ap index. Rotation averages of IHV are also strongly correlated with solar wind parameters (BV^2). On a time scale of a year combining the IHV-index and the recently-developed Inter-Diurnal Variability (IDV) index (giving B) allows determination of solar wind speed, V, from 1890-present. Over the ~120-year series, the yearly mean solar wind speed varied from a low of 303 km/s in 1902 to a high value of 545 km/s in 2003. The calculated yearly values of the product BV using B and V separately derived from IDV and IHV agree quantitatively with (completely independent) BV derived from the amplitude of the diurnal variation of the H component in the polar caps since 1926 and sporadically beyond.

Leif Svalgaard; Edward W. Cliver

2007-06-07T23:59:59.000Z

228

Handbook of solar energy data for south-facing surfaces in the United States. Volume III. Average hourly and total daily insolation data for 235 localities (North Carolina - Wyoming)  

DOE Green Energy (OSTI)

Average hourly and daily total insolation estimates are given for 235 US sites at a variety of array tilt angles. (MHR)

Smith, J.H.

1980-01-15T23:59:59.000Z

229

NERSC Hopper Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

72.3 04012013 3.520 95.6 03312013 3.613 98.1 03302013 3.242 88.1 03292013 3.456 93.9 03282013 3.562 96.7 03272013 3.519 95.6 03262013 3.449 93.7 03252013 3.370...

230

Regional load-curve models: QUERI's model long-run forecasts and sensitivity analysis. Volume 4. Final report. [Hourly demand in 32 US regions  

SciTech Connect

This report presents detailed forecasts of the hourly demand for electricity in 32 regions of the US through the year 2000. The forecasts are generated by a load curve model estimated by QUERI and described in Volume II of this report. Two primary sets of input assumptions for this model are utilized: one based on DRI's macro, regional and sectoral models is called the Baseline Scenario while the other, which is a projection of historical trends, is the Extrapolation Scenario. Under both assumptions, the growth rates of electricity are forecast to slow from historical levels. Load factors are generally projected to continue to decline; most regions are forecast to remain Summer peaking but this is rather sensitive to the choice of scenario. By considering other scenarios which are small perturbations of the Baseline assumptions, elasticities of average, peak and hourly loads are calculated. Different weather assumptions are also examined for the sensitivity of the load shapes to changes in the weather.

Engle, R.F.; Granger, C.W.J.; Ramanathan, R.

1981-09-01T23:59:59.000Z

231

Nuclear Energy for Simultaneous Low-Carbon Heavy-Oil Recovery and Gigawatt-Year Heat Storage for Peak Electricity Production  

E-Print Network (OSTI)

In a carbon-constrained world or a world of high natural gas prices, the use of fossil-fueled power

Forsberg, Charles W.

232

Comparison of Average Heart Rates Determined by Surface ECG and 24-Hour Ambulatory ECG (Holter) in Dogs with Spontaneous Atrial Fibrillation  

E-Print Network (OSTI)

The purpose of this study was to compare the heart rates of dogs presenting with spontaneous atrial fibrillation (AF) by a surface electrocardiogram (ECG) and a 24 hour ambulatory ECG (Holter recording) in order to determine if there was a difference between these two diagnostic tests. Seven dogs with clinically stable, spontaneous AF were evaluated with a 6 lead surface ECG (MAC 5000, GE Milwaukee) and a Holter monitor (Monitor device: LifecardCE Delmar Reynolds Medical, Holter analysis:Aria Holter software). Statistical analyses, including t-tests and linear regression models, were performed using Stata data-analysis and statistical software. When heart rates (bpm) determined by both diagnostic testing methods were compared individually and among all of the dogs, no statistically significant differences were found. Complete data for analysis were available in 4 of the 7 dogs. This study demonstrates that despite the potential superiority of Holter monitoring relative to the surface ECG for the diagnosis of cardiac arrhythmias, average heart rates were not statistically different in these 4 dogs with controlled AF. Therefore, the average HR determined by surface ECG in the hospital may be as reliable as the average HR determined by Holter monitoring in dogs with well controlled spontaneous AF.

Perea Lugo, Adriana

2010-12-01T23:59:59.000Z

233

Amine Scrubbing for CO{sub 2} Capture  

Science Conference Proceedings (OSTI)

Amine scrubbing has been used to separate carbon dioxide (CO{sub 2}) from natural gas and hydrogen since 1930. It is a robust technology and is ready to be tested and used on a larger scale for CO{sub 2} capture from coal-fired power plants. The minimum work requirement to separate CO{sub 2} from coal-fired flue gas and compress CO{sub 2} to 150 bar is 0.11 megawatt-hours per metric ton of CO{sub 2}. Process and solvent improvements should reduce the energy consumption to 0.2 megawatt-hour per ton of CO{sub 2}. Other advanced technologies will not provide energy-efficient or timely solutions to CO{sub 2} emission from conventional coal-fired power plants.

Rochelle, G.T. [University of Texas at Austin, Austin, TX (United States). Dept. of Chemical Engineering

2009-09-15T23:59:59.000Z

234

Strategic Intelligence Update  

Science Conference Proceedings (OSTI)

Distributed generation and energy storage technologies add value to a wide range of applications within the electric utility enterprise. Energy storage at megawatt-hour scales can be used to enable generators to better follow load and stabilize transmission voltage and frequency. Both distributed generation and energy storage systems can help utilities shift and manage peak loads within the distribution system, improve reliability, and potentially help defer infrastructure upgrades. Bulk energy storage e...

2008-07-31T23:59:59.000Z

235

DG & ES Strategic Intelligence Update newsletters 1 - 4  

Science Conference Proceedings (OSTI)

Distributed generation and energy storage technologies add value to a wide range of applications within the electric utility enterprise. Energy storage at megawatt-hour scales can be used to enable generators to better follow load and stabilize transmission voltage and frequency. Both distributed generation and energy storage systems can help utilities shift and manage peak loads within the distribution system, improve reliability, and potentially help defer infrastructure upgrades. Bulk energy storage e...

2009-01-01T23:59:59.000Z

236

Strategic Intelligence Update: Energy Storage & Distributed Generation  

Science Conference Proceedings (OSTI)

Distributed generation and energy storage technologies add value to a wide range of applications within the electric utility enterprise. Energy storage at megawatt-hour scales can be used to enable generators to better follow load and stabilize transmission voltage and frequency. Both distributed generation and energy storage systems can help utilities shift and manage peak loads within the distribution system, improve reliability, and potentially help defer infrastructure upgrades. Bulk energy storage e...

2009-08-07T23:59:59.000Z

237

Strategic Intelligence Update: Distributed Generation & Energy Storage  

Science Conference Proceedings (OSTI)

Distributed generation and energy storage technologies add value to a wide range of applications within the electric utility enterprise. Energy storage at megawatt-hour scales can be used to enable generators to better follow load and stabilize transmission voltage and frequency. Both distributed generation and energy storage systems can help utilities shift and manage peak loads within the distribution system, improve reliability, and potentially help defer infrastructure upgrades. Bulk energy storage e...

2009-12-17T23:59:59.000Z

238

Strategic Intelligence Update: Energy Storage & Distributed Generation  

Science Conference Proceedings (OSTI)

Distributed generation and energy storage technologies add value to a wide range of applications within the electric utility enterprise. Energy storage at megawatt-hour scales can be used to enable generators to better follow load and stabilize transmission voltage and frequency. Both distributed generation and energy storage systems can help utilities shift and manage peak loads within the distribution system, improve reliability, and potentially help defer infrastructure upgrades. Bulk energy storage e...

2009-06-22T23:59:59.000Z

239

Strategic Intelligence Update: Distributed Generation & Energy Storage, 1st Newsletter  

Science Conference Proceedings (OSTI)

Distributed generation and energy storage technologies add value to a wide range of applications within the electric utility enterprise. Energy storage at megawatt-hour scales can be used to enable generators to better follow load and stabilize transmission voltage and frequency. Both distributed generation and energy storage systems can help utilities shift and manage peak loads within the distribution system, improve reliability, and potentially help defer infrastructure upgrades. Bulk energy storage e...

2008-06-11T23:59:59.000Z

240

Strategic Intelligence Update  

Science Conference Proceedings (OSTI)

Distributed generation and energy storage technologies add value to a wide range of applications within the electric utility enterprise. Energy storage at megawatt-hour scales can be used to enable generators to better follow load and stabilize transmission voltage and frequency. Both distributed generation and energy storage systems can help utilities shift and manage peak loads within the distribution system, improve reliability, and potentially help defer infrastructure upgrades. Bulk energy storage e...

2008-10-16T23:59:59.000Z

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Strategic Intelligence Update: Distributed Generation & Energy Storage  

Science Conference Proceedings (OSTI)

Distributed generation and energy storage technologies add value to a wide range of applications within the electric utility enterprise. Energy storage at megawatt-hour scales can be used to enable generators to better follow load and stabilize transmission voltage and frequency. Both distributed generation and energy storage systems can help utilities shift and manage peak loads within the distribution system, improve reliability, and potentially help defer infrastructure upgrades. Bulk energy storage e...

2009-10-08T23:59:59.000Z

242

Compressed Air Energy Storage State-of-Science  

Science Conference Proceedings (OSTI)

Reliable and cost-effective bulk energy storage (BES) will become an important part of the electricity grid. In the form of compressed air energy storage (CAES), BES is a cost-effective option for applications requiring hundreds of megawatt-hours of energy storage. Experience in Alabama and Germany has shown that an optimized CAES plant design can further improve plant capital costs, economics, and performance. Advanced CAES technologies can defer expensive upgrades and capital purchases for transmission...

2009-10-27T23:59:59.000Z

243

Strategic Intelligence Update: Distributed Generation & Energy Storage, December 2008  

Science Conference Proceedings (OSTI)

Distributed generation and energy storage technologies add value to a wide range of applications within the electric utility enterprise. Energy storage at megawatt-hour scales can be used to enable generators to better follow load and stabilize transmission voltage and frequency. Both distributed generation and energy storage systems can help utilities shift and manage peak loads within the distribution system, improve reliability, and potentially help defer infrastructure upgrades. Bulk energy storage e...

2008-12-12T23:59:59.000Z

244

Strategic Intelligence Update  

Science Conference Proceedings (OSTI)

Distributed generation and energy storage technologies add value to a wide range of applications within the electric utility enterprise. Energy storage at megawatt-hour scales can be used to enable generators to better follow load and stabilize transmission voltage and frequency. Both distributed generation and energy storage systems can help utilities shift and manage peak loads within the distribution system, improve reliability, and potentially help defer infrastructure upgrades. Bulk energy storage e...

2009-04-20T23:59:59.000Z

245

NREL Triples Previous Estimates of U.S. Wind Power Potential (Fact Sheet), The Spectrum of Clean Energy Innovation, NREL (National Renewable Energy Laboratory)  

NLE Websites -- All DOE Office Websites (Extended Search)

Triples Previous Estimates of Triples Previous Estimates of U.S. Wind Power Potential The National Renewable Energy Laboratory (NREL) recently released new estimates of the U.S. potential for wind-generated electricity, using advanced wind mapping and validation techniques that triple previous estimates of the size of the nation's wind resources. The new study, conducted by NREL and AWS TruePower, finds that the contiguous 48 states have the potential to generate up to 37 million gigawatt-hours annually. In comparison, the total U.S. electricity generation from all sources was roughly 4 million gigawatt-hours in 2009. Detailed state-by-state estimates of wind energy potential for the United States show the estimated average wind speeds at an 80-meter height. The wind resource maps and estimates

246

Please cite this article in press as: R.E. Edwards, et al., Predicting future hourly residential electrical consumption: A machine learning case study, Energy Buildings (2012), doi:10.1016/j.enbuild.2012.03.010  

E-Print Network (OSTI)

-offs in the building design process, sizing components (e.g., HVAC) for a specific building, optimizing control systemsPlease cite this article in press as: R.E. Edwards, et al., Predicting future hourly residential.03.010 ARTICLE IN PRESSG Model ENB-3661; No.of Pages13 Energy and Buildings xxx (2012) xxx­xxx Contents lists

Parker, Lynne E.

247

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  

Science Conference Proceedings (OSTI)

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.

Not Available

2007-03-01T23:59:59.000Z

248

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

SciTech Connect

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.

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

2012-07-01T23:59:59.000Z

249

More Than 410,000 Hours of Real-World Fuel Cell System Operation Have Been Analyzed by NRELs Technology Validation Team (Fact Sheet), Hydrogen and Fuel Cell Technical Highlights (HFCTH), NREL (National Renewable Energy Laboratory)  

NLE Websites -- All DOE Office Websites (Extended Search)

0362 * February 2011 0362 * February 2011 More Than 410,000 Hours of Real-World Fuel Cell System Operation Have Been Analyzed by NREL's Technology Validation Team Team: Jennifer Kurtz, Keith Wipke, Sam Sprik, and Todd Ramsden Accomplishment: NREL analyzed more than 410,000 hours of real-world fuel cell operation from more than 470 government-funded demonstrations in light-duty vehicle, bus, material handling, and backup power markets. Context: NREL's analyses validates the technology in real-world applications, reports on the technology status, and facilitates the development of fuel cell technologies, manufacturing, and operations in strategic markets-material handling equipment, backup power, and stationary power-where fuel cells can compete with conventional technologies.

250

Validation of technetium-99m stannous pyrophosphate myocardial scintigraphy for diagnosing acute myocardial infarction more than 48 hours old when serum creatine kinase-MB has returned to normal  

SciTech Connect

Determination of lactic dehydrogenase (LDH) isoenzymes is the current method of choice for diagnosing acute myocardial infarction (AMI) greater than 48 hours old. However, other causes of enzyme elevation make the availability of an alternate method of diagnosis worthwhile. Accordingly, serial technetium-99m pyrophosphate scintigrams were obtained in 61 patients with transmural AMI and in 46 patients with subendocardial AMI. Imaging was performed in all 107 patients at the time creatine kinase isoenzyme (CK-MB) was present 37 +/- 18 hours (range 12 to 72) after the onset of AMI, and at the time CK-MB was absent 106 +/- 34 hours (range 48 to 168) after the onset of AMI. At the time CK-MB was absent, the sensitivity using either a regional or a diffuse positive scintigram was 95% (58 of 61 patients) for transmural AMI and 65% (30 of 46 patients) for subendocardial AMI. The sensitivity using a regional positive scintigram was 82% (50 of 61 patients) for transmural AMI and 37% (17 of 46 patients) for subendocardial AMI. The sensitivity using a high-grade regional positive scintigram was 36% (22 of 61 patients) for transmural AMI and 11% (5 of 46 patients) for subendocardial AMI. The specificity was 70% (143 of 204 patients) for either a regional or a diffuse abnormality, 92% (187 of 204 patients) for a regional abnormality, and 100% (204 of 204 patients) for a high-grade regional abnormality. Thus, pyrophosphate scintigraphy is useful in confirming the diagnosis of AMI, particularly transmural, greater than 48 hours old and when CK-MB has returned to normal. A positive scintigram with a high-grade regional abnormality is specific for a recent AMI and may be contributory in establishing the diagnoses when LDH isoenzymes are inconclusive.

Olson, H.G.; Lyons, K.P.; Butman, S.; Piters, K.M.

1983-08-01T23:59:59.000Z

251

Microsoft Word - delaware.doc  

Annual Energy Outlook 2012 (EIA)

... 55 48 Independent Power Producers & Combined Heat and Power ... 3,334 29 Net Generation (megawatthours)...

252

International Voluntary Renewable Energy Markets (Presentation)  

Science Conference Proceedings (OSTI)

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.

Heeter, J.

2012-06-01T23:59:59.000Z

253

Definition: Clock Hour | Open Energy Information  

Open Energy Info (EERE)

unless specifically noted.1 References Glossary of Terms Used in Reliability Standards An i LikeLike UnlikeLike You like this.Sign Up to see what your friends like. nline...

254

Symposium Hours, Posters, and Exhibitor Directory  

Science Conference Proceedings (OSTI)

... 1. Analysis of a Fatal Wind-Driven Fire in a ... Evident 739 Brooks Mill Road Union Hall, VA ... University 100 Campus Circle Owings Mills, MD 21117 ...

2012-11-28T23:59:59.000Z

255

EIA Reporting Proposal: Balancinggy Authorit y Hourly ...  

U.S. Energy Information Administration (EIA)

EIA Mission and Authority Mission The U.S. Energy Information Administration (EIA) is the statistical and analytical agency within the U.S. Department

256

Gate Hours & Services | Stanford Synchrotron Radiation Lightsource  

NLE Websites -- All DOE Office Websites (Extended Search)

from sunset to 6 am and on all shifts during weekends and holidays. Directions and Maps: Directions and maps are available from Security or the web. Emergency Assistance: In...

257

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)  

Science Conference Proceedings (OSTI)

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.

Susanne Simpson

2007-05-07T23:59:59.000Z

258

Dirty kilowatts: America's most polluting power plants  

SciTech Connect

In 2006, the US EPA tracked more than 1,400 fossil-fired power plants of varying sizes through its Acid Rain Program. This report ranks each of the 378 largest plants (generating at least 2 million megawatt-hours in 2006) for which both the most recent EPA emissions data and Energy Information Administration (EIA) electric generation data are available. The report ranks each plant based on emission rates, or pounds of pollutant for each megawatt-hour (or million megawatt-hours, in the case of mercury) the plant produced. It ranks the top fifty power plants polluters for sulfur dioxide, nitrogen oxides, carbon dioxide, and mercury. A complete listing of all 378 plants is included as Appendix A. Appendix B contains overheads of an NETL presentation: Tracking new coal-fired power plants - coal's resurgence in electric power generation, 24 January 2007. The 12 states with the heaviest concentrations of the dirtiest power plants, in terms of total tons of carbon dioxide emitted, are: Texas (five, including two of the top 10 dirtiest plants); Pennsylvania (four); Indiana (four, including two of the top 10 dirtiest plants); Alabama (three); Georgia (three, including two of the top three dirtiest plants); North Carolina (three); Ohio (three); West Virginia (three); Wyoming (two); Florida (two); Kentucky (two); and New Mexico (two). Carbon dioxide emissions from power plants are now at roughly 2.5 billion tons per year. Power plants are responsible for about 30%-40% of all man-made CO{sub 2} emissions in the USA. Power plants, especially those that burn coal, are by far the largest single contributor of SO{sub 2} pollution in the United States. Power plant mercury emissions remain steady as compared to previous years. A searchable database ranking 378 U.S. power plants on carbon dioxide, sulfur dioxide, nitrogen oxide and mercury pollution is available online at http://www.dirtykilowatts.org. 22 refs., 8 tabs., 2 apps.

NONE

2007-07-15T23:59:59.000Z

259

Developing and Financing Renewable Energy Projects in Indian Country  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Presenter: Presenter: Robert Springer, National Renewable Energy Laboratory (NREL) RES2012 CONFERENCE LAS VEGAS, NEVADA MARCH 1, 2012 Context Technically, Indian lands have enough renewable energy resource to produce:  1 billion megawatt-hours (MWh) of wind (about 148,000 homes)  7 billion MWh of solar photovoltaics (PV)  4 trillion MWh of biomass There are a number of barriers constraining this potential including: * Infrastructure and transmission; * Project development capacity; * Project financing options; * Permitting barriers; * Expertise; * Other Project Development & Finance Project Development & Project Finance Finance? "and then" Finance Or? Hey that doesn't make sense!

260

Designing an ultrasupercritical steam turbine  

Science Conference Proceedings (OSTI)

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.

Klotz, H.; Davis, K.; Pickering, E. [Alstom (Germany)

2009-07-15T23:59:59.000Z

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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261

Quality of Service, Efficiency and Scale in Network Industries: An analysis of European electricity distribution  

E-Print Network (OSTI)

supplied measured in Gigawatt-hours (GWh). The two out- put variables also reflect the structure of a two-part tariff, i.e. a fixed charge per cus- tomer as well as a variable part dependent on consumed energy. In addition, economies of scope between... and transformers), economies of scale in electricity supply, and economies of scope between the major services in electricity distribution, namely customer connection and energy delivery.3 In economic theory, a natural monopoly is described as a market...

Growitsch, Christian; Jamasb, Tooraj; Pollitt, Michael G.

2006-03-14T23:59:59.000Z

262

Microsoft Word - west_virginia.doc  

Gasoline and Diesel Fuel Update (EIA)

... 11,719 21 Independent Power Producers & Combined Heat and Power ... 4,775 19 Net Generation (megawatthours)...

263

Microsoft Word - new_hampshire.doc  

Annual Energy Outlook 2012 (EIA)

... 1,132 41 Independent Power Producers & Combined Heat and Power ... 3,048 32 Net Generation (megawatthours)...

264

Microsoft Word - nevada.doc  

Annual Energy Outlook 2012 (EIA)

... 8,713 29 Independent Power Producers & Combined Heat and Power ... 2,708 33 Net Generation (megawatthours)...

265

Microsoft Word - wisconsin.doc  

Annual Energy Outlook 2012 (EIA)

... 13,098 19 Independent Power Producers & Combined Heat and Power ... 4,738 20 Net Generation (megawatthours)...

266

Microsoft Word - ohio.doc  

Gasoline and Diesel Fuel Update (EIA)

... 20,179 13 Independent Power Producers & Combined Heat and Power ... 12,892 7 Net Generation (megawatthours)...

267

Electric Power Annual - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Electric Power Industry - Electricity Purchases, 2002 through 2011 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers

268

Electric Power Annual - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Table 3.13. Net Generation from Hydroelectric (Conventional) Power: by State, by Sector, 2011 and 2010 (Thousand Megawatthours)

269

Technology disrupted  

SciTech Connect

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.

Papatheodorou, Y. [CH2M Hill (United States)

2007-02-15T23:59:59.000Z

270

The Search for Sustainable Legitimacy: Environmental Law and Bureaucracy in China  

E-Print Network (OSTI)

gigawatts of small thermal-power plant capacity nationwide.391 GW overall of thermal-fired power plant capacity. Jing

Wang, Alex

2013-01-01T23:59:59.000Z

271

Fact Sheet: Sodium-Beta Batteries (October 2012)  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Sodium-Beta Batteries Sodium-Beta Batteries Improving the performance and reducing the cost of sodium-beta batteries for large-scale energy storage Sodium-beta batteries (Na-beta batteries or NBBs) use a solid beta-alumina (ß˝-Al 2 O 3 ) electrolyte membrane that selectively allows sodium ion transport between a positive electrode (e.g., a metal halide) and a negative sodium electrode. NBBs typically operate at temperatures near 350˚C. They are increasingly used in renewable storage and utility applications due to their high round-trip efficiency, high energy densities, and energy storage capacities ranging from a few kilowatt-hours to multiple megawatt-hours. In fact, U.S. utilities

272

Definition: Gross generation | Open Energy Information  

Open Energy Info (EERE)

Definition Definition Edit with form History Facebook icon Twitter icon » Definition: Gross generation Jump to: navigation, search Dictionary.png Gross generation The total amount of electric energy produced by generating units (e.g. power plants) and measured at the generating terminal in kilowatt-hours (kWh) or megawatt-hours (MWh).[1] View on Wikipedia Wikipedia Definition Related Terms Electricity generation, Net generation, power References ↑ http://205.254.135.24/tools/glossary/index.cfm?id=G#gross_gen Retri Like Like You like this.Sign Up to see what your friends like. eved from "http://en.openei.org/w/index.php?title=Definition:Gross_generation&oldid=480543" Category: Definitions What links here Related changes Special pages Printable version Permanent link

273

Definition: Electricity generation | Open Energy Information  

Open Energy Info (EERE)

Electricity generation Electricity generation Jump to: navigation, search Dictionary.png Electricity generation The process of producing electric energy or the amount of electric energy produced by transforming other forms of energy into electrical energy; commonly expressed in kilowatt-hours (kWh) or megawatt-hours (MWh).[1][2] View on Wikipedia Wikipedia Definition Electricity generation is the process of generating electrical power from other sources of primary energy. The fundamental principles of electricity generation were discovered during the 1820s and early 1830s by the British scientist Michael Faraday. His basic method is still used today: electricity is generated by the movement of a loop of wire, or disc of copper between the poles of a magnet. For electric utilities, it is the

274

PowerPoint Presentation  

NLE Websites -- All DOE Office Websites (Extended Search)

US Army Corps of Engineers US Army Corps of Engineers BUILDING STRONG ® ® Dan Brueggenjohann - Project Manager 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 units (23 MW each) which were placed in service in 1974. Average annual energy production is 429,000 Megawatt -hours. Background BUILDING STRONG ® * Project Scope: Rehabilitation of the Webbers

275

Form EIA-861S ANNUAL ELECTRIC POWER INDUSTRY REPORT (SHORT FORM)  

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

INDUSTRY REPORT (SHORT FORM) INSTRUCTIONS OMB No. 1905-0129 Approval Expires: 12/31/2016 Burden: 2.01 Hours Page 1 Draft for Discussion only PURPOSE Form EIA-861S collects information on the status of selected electric power industry participants involved in the sale, and distribution of electric energy in the United States. The data collected on this form are used to monitor the current status and trends of the electric power industry and to evaluate the future of the industry. REQUIRED RESPONDENTS The Form EIA-861S is to be completed by all electric utilities with annual retail sales in the prior year of 100,000 megawatt-hours or less, with the following exceptions: 1. A respondent has retail sales of unbundled service; 2. A full set of data is required from the respondent to ensure that statistical estimates

276

untitled  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

BREA POWER II, LLC'S BREA POWER II, LLC'S OLINDA COMBINED CYCLE ELECTRIC GENERATING PLANT FUELED BY WASTE LANDFILL GAS, BREA, CALIFORNIA U.S. Department of Energy National Energy Technology Laboratory October 2010 DOE/EA-1744 ACRONYMS AND ABBREVIATIONS CEQA California Environmental Quality Act CFR Code of Federal Regulations CHP combined heat and power CO carbon monoxide dBA A-weighted decibel DOE U.S. Department of Energy (also called the Department) EA environmental assessment EPA U.S. Environmental Protection Agency kWh kilowatt-hour mmscfd million standard cubic feet of landfill gas per day MW megawatt MWh megawatt-hour NAAQS National Ambient Air Quality Standards NEPA National Environmental Policy Act, as amended NO 2 nitrogen dioxide

277

Chemistry 119 (3 credit hours) Honors General Chemistry Lecture  

E-Print Network (OSTI)

. Possible topics could be fracking, photovoltaics, water splitting, hydrogen technology, biofuels, biodiesel

Doyle, Robert

278

Transition to 12-hour shifts - The process and the product  

Science Conference Proceedings (OSTI)

This paper examines Yankee Atomic Electric Company's (YAEC's) transition to a 12-h shift schedule for the operations department staff. It presents the approach to implementation, reactions of both shift workers and management to the new schedule (including perceived benefits and shortcomings), and provides recommendations to others considering this change. Experience demonstrates the ease of any transition when the desire for change originates with the individuals directly affected. Close cooperation with any union representation is also vital to its success. When all parties are in apparent agreement (e.g., that a 12-h rotation should commence), this allows for a trial period (in this case of at least two shift cycles) in order to evaluate and refine the program, thus leaving the option open to revert back to the previous condition if things prove unsatisfactory. At all costs, mutual respect must be maintained for all parties.

Suter, P. (Yankee Atomic Electric Co., Rowe, MA (United States))

1992-01-01T23:59:59.000Z

279

BIOLOGY 650 (credit 2 hours) Animal Physiology LABORATORY  

E-Print Network (OSTI)

-neuron communication through electrical and chemical synapses will be examined in live preparations. The historical will have their point total for the course pro-rated. Unexcused absences from an exam will result in a score

Cooper, Robin L.

280

Form EIA-861S Year: 2013 0129 Burden: .75 Hours  

U.S. Energy Information Administration (EIA)

electric power industry and to evaluate the future of the industry . ... tariff arrangements permit a facility, generating electricity from a renewable resource,

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

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

Energy.gov (U.S. Department of Energy (DOE)) 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...

282

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

They review several hundred compressed gas cylinders, personal protective equipment, safety harnesses, lifts and liners. Cranes, forklifts, and portable eyewash stations are...

283

308 BILLION TON-HOURS OF REFUSE POWER EXPERIENCE  

E-Print Network (OSTI)

the special tarrif al ready granted by the utility to its large energy users. The output data are grouped

Columbia University

285

Pantex celebrates three million hours without a lost time injury...  

National Nuclear Security Administration (NNSA)

all of our activities at Pantex," he said. The hard work of the members of the division led to Pantex being named the High Explosives Center of Excellence for High Explosives...

286

Climate Reference Network Hourly02 Product | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Michael.Palecki@noaa.gov Unique Identifier DOC-2663 Public Access Level public Data Dictionary ftp:ftp.ncdc.noaa.govpubdatauscrnproductshourly02README.txt Data Download...

287

Controlling hour-long power of wind farms.  

E-Print Network (OSTI)

??In attempting to control the power output of a wind farm, it is first necessary to smooth the power fluctuations due to wind turbulence. This (more)

Li, Pei, 1981-

2007-01-01T23:59:59.000Z

288

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

NLE Websites -- All DOE Office Websites (Extended Search)

your right past NREL's entrance sign. (Map) Getting Here by Bus NREL is accessible via RTD route 20 from Aurora and Denver. Route 20 travels along 20th Avenue and ends at the...

289

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

in Illinois, as well as at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory in California, and the Molecular Science...

290

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

research agencies other than the Department of Energy. In the first year of INCITE at NERSC, scientists from the University of Chicago and Argonne National Lab studying...

291

EGGS Held above 41 F for over 2 hours  

E-Print Network (OSTI)

, Romano Safe Processed Cheeses Safe Shredded Cheeses Discard Low-fat Cheeses Discard Grated, or seafood; soy meat substitutes Discard Thawing meat or poultry Discard Meat, tuna, shrimp,chicken

Liskiewicz, Maciej

292

LOOP ROUTE UCSC CAMPUS SHUTTLES Saturday Service Hours  

E-Print Network (OSTI)

Way Social Sciences 2 ChinquapinRoad MERRILL COLLEGE McLaughlin Drive East Field House Hagar Drive, Hagar Drive, McLaughlin Drive, Heller Drive, and Empire Grade/High Street. Barn Theater Loop Science & Engineering Library Steinhart W ay Social Sciences 2 ChinquapinRoad MERRILL COLLEGE McLaughlin

California at Santa Cruz, University of

293

Material characterization of the clay bonded silicon carbide candle filters and ash formations in the W-APF system after 500 hours of hot gas filtration at AEP. Appendix to Advanced Particle Filter: Technical progress report No. 11, January--March 1993  

SciTech Connect

(1) After 500 hours of operation in the pressurized fluidized-bed combustion gas environment, the fibrous outer membrane along the clay bonded silicon carbide Schumacher Dia Schumalith candles remained intact. The fibrous outer membrane did not permit penetration of fines through the filter wall. (2) An approximate 10-15% loss of material strength occurred within the intact candle clay bonded silicon carbide matrix after 500 hours of exposure to the PFBC gas environment. A relatively uniform strength change resulted within the intact candles throughout the vessel (i.e., top to bottom plenums), as well as within the various cluster ring positions (i.e., outer versus inner ring candle filters). A somewhat higher loss of material strength, i.e., 25% was detected in fractured candle segments removed from the W-APF ash hopper. (3) Sulfur which is present in the pressurized fluidized-bed combustion gas system induced phase changes along the surface of the binder which coats the silicon carbide grains in the Schumacher Dia Schumalith candle filter matrix.

Alvin, M.A.

1993-04-05T23:59:59.000Z

294

Mesa Top Photovoltaic Array, NREL (Fact Sheet)  

NLE Websites -- All DOE Office Websites (Extended Search)

Mesa Top Photovoltaic Array Mesa Top Photovoltaic Array System Specifications System size: 720 kilowatts (kW) DC Characteristics: Single axis tracker photovoltaic, ground mounted Annual output: 1.2 gigawatt hours (GWh) Location: Top of South Table Mountain, Golden, Colorado Start of operation: December 2008 Financial Terms System ownership: SunEdison financed, built, owns, operates and maintains the system Solar Power and Services Agreement (SPSA): SunEdison and the Western Area Power Administration (WAPA) entered into a 20-year SPSA to provide Solar Energy Services to the Department of Energy (DOE) for use at the National Renewable Energy Laboratory (NREL) Cost to DOE/NREL: There are no up-front costs to DOE or NREL * The price per kilowatt hour (kWh) for the power purchased from the

295

Mesa Top Photovoltaic Array, NREL (Fact Sheet)  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Mesa Top Photovoltaic Array Mesa Top Photovoltaic Array System Specifications System size: 720 kilowatts (kW) DC Characteristics: Single axis tracker photovoltaic, ground mounted Annual output: 1.2 gigawatt hours (GWh) Location: Top of South Table Mountain, Golden, Colorado Start of operation: December 2008 Financial Terms System ownership: SunEdison financed, built, owns, operates and maintains the system Solar Power and Services Agreement (SPSA): SunEdison and the Western Area Power Administration (WAPA) entered into a 20-year SPSA to provide Solar Energy Services to the Department of Energy (DOE) for use at the National Renewable Energy Laboratory (NREL) Cost to DOE/NREL: There are no up-front costs to DOE or NREL * The price per kilowatt hour (kWh) for the power purchased from the

296

College Fights Energy Rate Hikes with 'Grid Positive' Plan | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

College Fights Energy Rate Hikes with 'Grid Positive' Plan College Fights Energy Rate Hikes with 'Grid Positive' Plan College Fights Energy Rate Hikes with 'Grid Positive' Plan August 26, 2010 - 4:11pm Addthis Butte College's solar panels are helping it make more energy than it uses, providing it financial as well environmental benefits. | Photo courtesy of Butte College | Butte College's solar panels are helping it make more energy than it uses, providing it financial as well environmental benefits. | Photo courtesy of Butte College | Lorelei Laird Writer, Energy Empowers What does this mean for me? Community college campus will have 25,000 solar panels after latest installation and will generate 6,381 megawatt-hours of solar energy annually. $12.65 million in Clean Renewable Energy Bonds helped fund final 15,000 panels.

297

CX-005992: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

92: Categorical Exclusion Determination 92: Categorical Exclusion Determination CX-005992: Categorical Exclusion Determination American Recovery and Reinvestment Act/State Energy Program - State of Louisiana Community Church Unitarian CX(s) Applied: B5.1 Date: 05/23/2011 Location(s): New Orleans, Louisiana Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The Louisiana State Energy Office through the Louisiana Department of Natural Resources proposes to provide $51,213 of State Energy Program funds for the Community Church Unitarian Universalist at 316 38th Street in New Orleans, Louisiana to purchase and install a solar photovoltaic system on the church's roof. The system would provided 18.8 megawatt-hours of electrical generation per year. DOCUMENT(S) AVAILABLE FOR DOWNLOAD

298

Renewable and Recycled Energy Objective | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Renewable and Recycled Energy Objective Renewable and Recycled Energy Objective Renewable and Recycled Energy Objective < Back Eligibility Investor-Owned Utility Municipal Utility Rural Electric Cooperative Savings Category Bioenergy Buying & Making Electricity Water Alternative Fuel Vehicles Hydrogen & Fuel Cells Solar Wind Program Info State North Dakota Program Type Renewables Portfolio Standard Provider North Dakota Public Service Commission In March 2007, the North Dakota enacted legislation (H.B. 1506) establishing an ''objective'' that 10% of all retail electricity sold in the state be obtained from renewable energy and recycled energy by 2015. The objective must be measured by qualifying megawatt-hours (MWh) delivered at retail, or by credits purchased and retired to offset non-qualifying

299

Notices  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

72 Federal Register 72 Federal Register / Vol. 76, No. 112 / Friday, June 10, 2011 / Notices module would contain 2 generating units with a total combined capacity of 2.2 megawatts (MW); (5) a new switchyard containing a transformer; (6) a proposed 300-feet-long, 13-kilovolt (kV) transmission line to an existing distribution line. The proposed project would have an average annual generation of 10.6 megawatt-hours (MWh), which would be sold to a local utility. Applicant Contact: Mr. Wayne Krouse, Hydro Green Energy LLC, 5090 Richmond Avenue #390, Houston, TX 77056; phone (877) 556-6566 x709. FERC Contact: Michael Spencer, (202) 502-6093. Deadline for filing comments, motions to intervene, competing applications (without notices of intent), or notices of intent to file competing applications: 60

300

EA-1754: Final Environmental Assessment | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Final Environmental Assessment Final Environmental Assessment EA-1754: Final Environmental Assessment Public Service Company Of New Mexico Photovoltaic Plus Battery For Simultaneous Voltage Smoothing And Peak Shifting Project, Bernalillo County, New Mexico DOE prepared this EA to evaluate the potential environmental impacts of providing a financial assistance grant under the American Recovery and Reinvestment Act of 2009 (Recovery Act) in a cooperative agreement with the Public Service Company of New Mexico (PNM) as part of the Smart Grid Demonstrations Program. If PNM received the funding, the company would install a 2- to 4-megawatt-hour advanced absorbed valve-regulated lead acid battery, an access road, a parking lot, and a 3,000-foot underground electrical tie-in to the existing power distribution system (the proposed

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Solar Trough Performance Evaluation: Cooperative Research and Development Final Report, CRADA Number CRD-08-00289  

DOE Green Energy (OSTI)

New HCEs were installed on the hot sides of the thermal loops at SEGS VIII and IX from mid-2007 to mid-2008. Due to significant increases in plant performance, an interest in a further increase performance by installing new HCEs on the cold portions of the loop developed. Although it was assumed that the plant performance would increase, the exact amount was unknown. The objective of this project was to estimate the performance improvements with new HCEs installed on the cold sides of the loop, with performance being evaluated as potential increases in electrical power production (megawatt-hours). A comparison of performance prior to and post installation of new HCEs on the hot sides of the loops was done. For completeness, an estimate of performance losses - such as the optical efficiency, mirror reflectivity, and optical accuracy - was also included in this analysis. National Renewable Energy Laboratory's (NREL's) HCE Survey System was used to determine if the HCEs were hot or cold.

Gray, A.

2011-05-01T23:59:59.000Z

302

Water watch  

Science Conference Proceedings (OSTI)

The Hydropower Generation Report provides generation figures for the largest hydropower producers in each of six regions in the US. The report compares, for each month, the amount of hydroelectricity generated (in thousands of megawatt-hours) by each producers in the last two years to the ten-year average for that month. This database is used to figure long-term generation averages and percent of averages. The producers regularly provide current generation data to update the database. This issue of [open quotes]Water Watch[close quotes] focuses on winter snow conditions across the US as of mid-January. In addition, the department provides an outlook of spring flood potential. The information presented is based on data from the US Geological Survey, the National Weather Service, and the Soil Conservation Service.

Not Available

1991-02-01T23:59:59.000Z

303

The design and testing of a molten salt steam generator for solar application  

SciTech Connect

This paper describes the design and testing of the Steam Generator Subsystem (SGS) for the Molten Salt Electric Experiment at Sandia Laboratories in Albuquerque, New Mexico. The Molten Salt Electric Experiment (MSEE) has been established to demonstrate the feasibility of the molten salt central receiver concept. The experiment is capable of generating 0.75 megawatts of electric power from solar energy, with the capability of storing seven megawatt-hours of thermal energy. The steam generator subsystem transfers sensible heat from the solar-heated molten nitrate salt to produce steam to drive a conventional turbine. This paper discusses the design requirements dictated by the steam generator application and also reviews the process conditions. Details of each of the SGS components are given, featuring the aspects of the design and performance unique to the solar application. The paper concludes with a summary of the test results confirming the overall design of the subsystem.

Allman, W.A.; Smith, D.C.; Kakarala, C.R.

1988-02-01T23:59:59.000Z

304

Fuel Mix and Emissions Disclosure | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

You are here You are here Home » Fuel Mix and Emissions Disclosure Fuel Mix and Emissions Disclosure < Back Eligibility Utility Program Info State Maryland Program Type Generation Disclosure Provider Maryland Public Service Commission Maryland's 1999 electric utility restructuring legislation requires all electric companies and electricity suppliers to provide customers with details regarding the fuel mix and emissions of electric generation. Emissions data must be expressed in terms of pounds per megawatt-hour (MWh). This information must be provided to customers every six months and annually to the Maryland Public Service Commission (PSC). Past reports are available in Case No. 8738 through the [http://webapp.psc.state.md.us/Intranet/Casenum/caseform_new.cfm? PSC's

305

Fuel Mix and Emissions Disclosure | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Fuel Mix and Emissions Disclosure Fuel Mix and Emissions Disclosure Fuel Mix and Emissions Disclosure < Back Eligibility Utility Program Info State Michigan Program Type Generation Disclosure Provider Michigan Public Service Commission Michigan's Customer Choice and Electric Reliability Act of 2000 (P.A. 141) requires electric suppliers to disclose to customers details related to the fuel mix and emissions, in pounds 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 Service Commission (MPSC) staff must calculate the regional electricity generation and environmental characteristics and make it available to be used by the state's generation providers. The web site above describes the

306

Page not found | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

71 - 20480 of 31,917 results. 71 - 20480 of 31,917 results. Article Nellis Air Force Base solar array provides model for renewable projects 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,

307

EIA - Electricity Data - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Table 1.12.A. Net Generation from Nuclear Energy: by State, by Sector, August 2013 and 2012 (Thousand Megawatthours)

308

EIA - Electricity Data - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Table 1.16.A. Net Generation from Other Energy Sources: by State, by Sector, October 2013 and 2012 (Thousand Megawatthours) Electric Power Sector ; ...

309

EIA - Electricity Data - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Table 1.16.B. Net Generation from Other Energy Sources: by State, by Sector, Year-to-Date through November 2013 and 2012 (Thousand Megawatthours) ...

310

Figure 38. Levelized costs of nuclear electricity generation in ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 38. Levelized costs of nuclear electricity generation in two cases, 2025 (2011 dollars per megawatthour) Reference Small Modular Reactor

311

Electric Power Annual  

Annual Energy Outlook 2012 (EIA)

7. Net Generation from Wind by State, by Sector, 2011 and 2010 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent...

312

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "New Jersey" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,...

313

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Illinois" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,19...

314

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Virginia" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,19...

315

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Texas" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,...

316

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Washington" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,...

317

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Montana" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,199...

318

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Maine" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,...

319

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "South Dakota" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,199...

320

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Kansas" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999...

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "West Virginia" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,19...

322

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Louisiana" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1...

323

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "New Hampshire" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,19...

324

Electric Power Annual  

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

for Load by North American Electric Reliability Corporation Assessment Area, 2011 Actual, 2012-2016 Projected Net Energy (Thousands of Megawatthours) Eastern Interconnection ERCOT...

325

www.eia.gov  

U.S. Energy Information Administration (EIA)

SEPT09OH Number of Entities NA Number of Retail Customers Retail Sales (thousand megawatthours) Percentage of Retail Sales Revenue from Retail Sales (million dollars)

326

Electric Power Annual  

Gasoline and Diesel Fuel Update (EIA)

Table 3.19. Net Generation from Geothermal by State, by Sector, 2011 and 2010 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric...

327

Table 1. 2010 Summary Statistics  

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

Capacity (megawatts)",4430,42 " Electric Utilities",19,49 " Independent Power Producers & Combined Heat and Power",4410,25 "Net Generation (megawatthours)",17018660,43 " Electric...

328

Table 1. 2010 Summary Statistics  

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

(megawatts)",15981,25 " Electric Utilities",11488,23 " Independent Power Producers & Combined Heat and Power",4493,24 "Net Generation (megawatthours)",61000185,25 " Electric...

329

Table 1. 2010 Summary Statistics  

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

(megawatts)",39357,6 " Electric Utilities",11032,25 " Independent Power Producers & Combined Heat and Power",28325,5 "Net Generation (megawatthours)",136961654,9 " Electric...

330

Table 1. 2010 Summary Statistics  

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

Capacity (megawatts)",7497,39 " Electric Utilities",6648,32 " Independent Power Producers & Combined Heat and Power",849,44 "Net Generation (megawatthours)",42249355,35 " Electric...

331

Table 1. 2010 Summary Statistics  

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

(megawatts)",13777,30 " Electric Utilities",9114,28 " Independent Power Producers & Combined Heat and Power",4662,22 "Net Generation (megawatthours)",50720792,30 " Electric...

332

Table 1. 2010 Summary Statistics  

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

Capacity (megawatts)",12516,33 " Electric Utilities",80,47 " Independent Power Producers & Combined Heat and Power",12436,9 "Net Generation (megawatthours)",43607264,33 " Electric...

333

Table 1. 2010 Summary Statistics  

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

Capacity (megawatts)",67328,2 " Electric Utilities",28689,2 " Independent Power Producers & Combined Heat and Power",38639,4 "Net Generation (megawatthours)",204125596,4 " Electric...

334

Table 1. 2010 Summary Statistics  

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

(megawatts)",30478,10 " Electric Utilities",26498,5 " Independent Power Producers & Combined Heat and Power",3979,26 "Net Generation (megawatthours)",103472729,15 " Electric...

335

Table 1. 2010 Summary Statistics  

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

(megawatts)",15691,26 " Electric Utilities",10858,26 " Independent Power Producers & Combined Heat and Power",4833,18 "Net Generation (megawatthours)",54487260,28 " Electric...

336

EIA - Electricity Data - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Table 1.6.A. Net Generation: by State, by Sector, September 2013 and 2012 (Thousand Megawatthours) Electric Power Sector ; Census Division and State ...

337

www.eia.gov  

U.S. Energy Information Administration (EIA)

Table 1.6.A. Net Generation by State, by Sector, September 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All ...

338

Electric Power Monthly May 2012 - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Table 1.6.A. Net Generation by State by Sector, March 2012 and 2011 (Thousand Megawatthours) Census Division and State Total (All Sectors) Electric ...

339

Electric Power Monthly August 2011  

U.S. Energy Information Administration (EIA)

Table 1.6.A. Net Generation by State by Sector, May 2011 and 2010 (Thousand Megawatthours) Census Division and State Total (All Sectors) Electric ...

340

EIA - Electricity Data - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Table 1.6.A. Net Generation: by State, by Sector, August 2013 and 2012 (Thousand Megawatthours) Electric Power Sector ; Census Division and State All ...

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

U.S. Energy Information Administration - EIA - Independent ...  

U.S. Energy Information Administration (EIA)

Average site electricity consumption in California homes is among the lowest in the nation (6.9 megawatthours per year), according to EIA's Residential Energy ...

342

Today in Energy - Seasonal hydroelectric output drives down ...  

U.S. Energy Information Administration (EIA)

Increased hydroelectric output in the Pacific Northwest drove daily, on-peak prices of electricity below $10 per megawatthour in late April (see chart above) at the ...

343

EIA - Electricity Data - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Table 1.13.A. Net Generation from Hydroelectric (Conventional) Power: by State, by Sector, September 2013 and 2012 (Thousand Megawatthours) Electric ...

344

Federal Government Increases Renewable Energy Use Over 1000 Percent since  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Federal Government Increases Renewable Energy Use Over 1000 Percent Federal Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal Federal Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal November 3, 2005 - 12:35pm Addthis WASHINGTON, DC - The Department of Energy (DOE) announced today that the federal government has exceeded its goal of obtaining 2.5 percent of its electricity needs from renewable energy sources by September 30, 2005. The largest energy consumer in the nation, the federal government now uses 2375 Gigawatt hours (GWh) of renewable energy -- enough to power 225,000 homes or a city the size of El Paso, Texas, for a year. "Particularly in light of tight oil and gas supplies caused by Hurricanes Katrina and Rita, it is important that all Americans - including the

345

Federal Government Increases Renewable Energy Use Over 1000 Percent since  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Federal Government Increases Renewable Energy Use Over 1000 Percent Federal Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal Federal Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal November 3, 2005 - 12:35pm Addthis WASHINGTON, DC - The Department of Energy (DOE) announced today that the federal government has exceeded its goal of obtaining 2.5 percent of its electricity needs from renewable energy sources by September 30, 2005. The largest energy consumer in the nation, the federal government now uses 2375 Gigawatt hours (GWh) of renewable energy -- enough to power 225,000 homes or a city the size of El Paso, Texas, for a year. "Particularly in light of tight oil and gas supplies caused by Hurricanes Katrina and Rita, it is important that all Americans - including the

346

Finding of No Significant Impacts  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE/EA 1916 DOE/EA 1916 Finding of No Significant Impacts Page 2 of 6 system; and (6) appurtenant facilities for navigation safety and operation. The project is estimated to have an annual generation of 1.25 gigawatt-hours (GWh) after the completion of Phase 2. Because the project would be connected to the existing electrical grid, on September 1, 2011, ORPC Maine applied to the Federal Energy Regulatory Commission (FERC) for an 8-year pilot project license to construct, operate, and maintain the proposed Cobscook Bay project (FERC Project No. 12711), This application required FERC to conduct a review of the potential environmental impacts of the project in accordance with the National Environmental Policy Act (NEPA). Since DOE was considering providing financial assistance for the project, DOE

347

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

DOE Green Energy (OSTI)

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.

Roberts, B.

2011-07-01T23:59:59.000Z

348

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

SciTech Connect

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.

Finch, P.; Potes, A.

2010-06-01T23:59:59.000Z

349

Property:PotentialUrbanUtilityScalePVCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialUrbanUtilityScalePVCapacity PotentialUrbanUtilityScalePVCapacity Jump to: navigation, search Property Name PotentialUrbanUtilityScalePVCapacity Property Type Quantity Description The nameplate capacity technical potential from utility-scale PV in urban areas of a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

350

Property:Capacity | Open Energy Information  

Open Energy Info (EERE)

Capacity Capacity Jump to: navigation, search Property Name Capacity Property Type Quantity Description Potential electric energy generation, default units of megawatts. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS 0.000001 TW,terawatt,terawatts,Terawatt,Terawatts,TeraWatt,TeraWatts,TERAWATT,TERAWATTS

351

Property:PotentialEGSGeothermalCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialEGSGeothermalCapacity PotentialEGSGeothermalCapacity Jump to: navigation, search Property Name PotentialEGSGeothermalCapacity Property Type Quantity Description The nameplate capacity technical potential from EGS Geothermal for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

352

Property:GeneratingCapacity | Open Energy Information  

Open Energy Info (EERE)

GeneratingCapacity GeneratingCapacity Jump to: navigation, search Property Name GeneratingCapacity Property Type Quantity Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS 0.000001 TW,terawatt,terawatts,Terawatt,Terawatts,TeraWatt,TeraWatts,TERAWATT,TERAWATTS

353

Property:PotentialCSPCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialCSPCapacity PotentialCSPCapacity Jump to: navigation, search Property Name PotentialCSPCapacity Property Type Quantity Description The nameplate capacity technical potential from CSP for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

354

Property:PlannedCapacity | Open Energy Information  

Open Energy Info (EERE)

PlannedCapacity PlannedCapacity Jump to: navigation, search Property Name PlannedCapacity Property Type Quantity Description The total planned capacity for a given area, region or project. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS 0.000001 TW,terawatt,terawatts,Terawatt,Terawatts,TeraWatt,TeraWatts,TERAWATT,TERAWATTS

355

Property:PotentialOffshoreWindCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialOffshoreWindCapacity PotentialOffshoreWindCapacity Jump to: navigation, search Property Name PotentialOffshoreWindCapacity Property Type Quantity Description The nameplate capacity technical potential from Offshore Wind for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

356

Property:PotentialGeothermalHydrothermalCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialGeothermalHydrothermalCapacity PotentialGeothermalHydrothermalCapacity Jump to: navigation, search Property Name PotentialGeothermalHydrothermalCapacity Property Type Quantity Description The nameplate capacity technical potential from Geothermal Hydrothermal for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

357

Property:PotentialHydropowerCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialHydropowerCapacity PotentialHydropowerCapacity Jump to: navigation, search Property Name PotentialHydropowerCapacity Property Type Quantity Description The nameplate capacity technical potential from Hydropower for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

358

Property:PotentialBiopowerGaseousCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerGaseousCapacity PotentialBiopowerGaseousCapacity Jump to: navigation, search Property Name PotentialBiopowerGaseousCapacity Property Type Quantity Description The nameplate capacity technical potential from gaseous biopower for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

359

Property:InstalledCapacity | Open Energy Information  

Open Energy Info (EERE)

InstalledCapacity InstalledCapacity Jump to: navigation, search Property Name InstalledCapacity Property Type Quantity Description Installed Capacity (MW) or also known as Total Generator Nameplate Capacity (Rated Power) Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

360

Property:PotentialOnshoreWindCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialOnshoreWindCapacity PotentialOnshoreWindCapacity Jump to: navigation, search Property Name PotentialOnshoreWindCapacity Property Type Quantity Description The nameplate capacity technical potential from Onshore Wind for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Property:PotentialRooftopPVCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialRooftopPVCapacity PotentialRooftopPVCapacity Jump to: navigation, search Property Name PotentialRooftopPVCapacity Property Type Quantity Description The nameplate capacity technical potential from Rooftop PV for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

362

Property:MeanCapacity | Open Energy Information  

Open Energy Info (EERE)

MeanCapacity MeanCapacity Jump to: navigation, search Property Name MeanCapacity Property Type Quantity Description Mean capacity potential at location based on the USGS 2008 Geothermal Resource Assessment if the United States Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

363

Property:PotentialBiopowerSolidCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerSolidCapacity PotentialBiopowerSolidCapacity Jump to: navigation, search Property Name PotentialBiopowerSolidCapacity Property Type Quantity Description The nameplate capacity technical potential from solid biopower for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

364

Property:PotentialRuralUtilityScalePVCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialRuralUtilityScalePVCapacity PotentialRuralUtilityScalePVCapacity Jump to: navigation, search Property Name PotentialRuralUtilityScalePVCapacity Property Type Quantity Description The nameplate capacity technical potential from rural utility-scale PV for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

365

U.S. Energy Information Administration (EIA) - Sector  

U.S. Energy Information Administration (EIA)

... including 0.9 gigawatts with carbon sequestration capability. Additional coal is consumed in the CTL process and to produce heat and power ...

366

Annual Energy Outlook 2012  

Annual Energy Outlook 2012 (EIA)

A9. Electricity generating capacity (gigawatts) Net summer capacity 1 Reference case Annual growth 2010-2035 (percent) 2009 2010 2015 2020 2025 2030 2035 Electric power sector...

367

Figure 58. Residential sector adoption of renewable energy ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 58. Residential sector adoption of renewable energy technologies in two cases, 2005-2040 PV and wind (gigawatts) Heat pump ...

368

EERE News: Secretary Chu Announces New Investments in Pioneering...  

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

gigawatts of clean, domestic electricity potential, four times the nation's current total generation capacity. According to a new report commissioned by the Energy Department, a...

369

EERE News: Energy Department Announces New Investments in Pioneering...  

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

gigawatts of clean, domestic electricity potential, four times the nation's current total generation capacity. According to a new report commissioned by the Energy Department, a...

370

Natural gas-fired combustion turbines are generally used to meet ...  

U.S. Energy Information Administration (EIA)

In 2012, there were 121 gigawatts of operating natural gas combustion turbines that contributed about 3% of overall electricity generation. The average capacity ...

371

Power Technologies Energy Data Book: Fourth Edition, Chapter...  

NLE Websites -- All DOE Office Websites (Extended Search)

143 Table 4.1 - Projections of Renewable Electricity Net Capacity (Gigawatts) Data Sources Projections Renewable Energy 2006 2010 2015 2020 2025 2030 Geothermal AEO2006 -...

372

Distributed generation capabilities of the national energy modeling system  

E-Print Network (OSTI)

Energy Information Administration Electricity Market Module of NEMS Geographic Information System(s) 10 9 (giga)watt 10 3 (kilo)watt Market Analysis

LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Marnay, Chris

2003-01-01T23:59:59.000Z

373

ATP Project Brief - 00-00-7221  

Science Conference Proceedings (OSTI)

... Superhydrophobic surfaces for turbines and condensers could result in substantial ... could save as much as seven gigawatts of electricity capacity for ...

374

Equilibrium pricing in electricity markets with wind power.  

E-Print Network (OSTI)

?? Estimates from the World Wind Energy Association assert that world total wind power installed capacity climbed from 18 Gigawatt (GW) to 152 GW from (more)

Rubin, Ofir David

2010-01-01T23:59:59.000Z

375

Equilibrium pricing in electricity markets with wind power.  

E-Print Network (OSTI)

??Estimates from the World Wind Energy Association assert that world total wind power installed capacity climbed from 18 Gigawatt (GW) to 152 GW from 2000 (more)

Rubin, Ofir David

2010-01-01T23:59:59.000Z

376

AEO2011: Electricity Generating Capacity This dataset comes from...  

Open Energy Info (EERE)

case. The dataset uses gigawatts. The data is broken down into power only, combined heat and power,cumulativeplanned additions, cumulative unplanned conditions,...

377

Figure 77. Electricity generation capacity additions by fuel type ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 77. Electricity generation capacity additions by fuel type, including combined heat and power, 2012-2040 (gigawatts) Coal

378

2008-2010 Research Summary: Analysis of Demand Response Opportunities in California Industry  

E-Print Network (OSTI)

534 megawatts (MW) of peak demand reduction and 1 gigawatt (power generators during peak demand periods. Onsite powerit can be used during peak-demand periods. Implementing load

Goli, Sasank

2013-01-01T23:59:59.000Z

379

Biopower  

Energy.gov (U.S. Department of Energy (DOE))

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.

380

International Energy Outlook  

Annual Energy Outlook 2012 (EIA)

capacity additions are expected to be in Asia, where China, India, Japan, and South Korea are projected to add a combined total of approximately 45 gigawatts of nuclear...

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

www.eia.gov  

U.S. Energy Information Administration (EIA)

"Capacity of electric power plants by cooling system type and fuel, 2010",,,,, gigawatts,,,,, system type,Coal,Natural Gas Combined Cycle,Other Natural Gas,Nuclear ...

382

ARCHITECT-ENGINEER QUALIFICATIONS Public reporting burden for this collection of information is estimated to average a total of 29 hours per response (25 hours for Part 1 and 4 hours  

E-Print Network (OSTI)

; innate immunity; stress; cadmium; infection; P-glycoprotein INTRODUCTION In the soil, Caenorhabditis fluorescence related to pgp-5 induction with the COPAS worm sorter (Supplemental Fig 2D). pgp-5 expression resistance in the soil nematode Caenorhabditis elegans. Embo J 1996;15:6132­43. [PubMed: 8947035] Kurz et al

Kemner, Ken

383

Why the June price spike was not a fluke  

Science Conference Proceedings (OSTI)

Generation and capacity shortages are being exacerbated by the slowness of the deregulation process. Most at risk are companies that are not well structured to function in the wholesale power industry or who have mistaken apparent regulatory inaction for an indication of the low risk of shortages and high prices. There are many who would like to believe that the high wholesale power prices that were seen in the Midwest in June 1998 were one-time occurrences, but this is not likely to be the case. Regulators and others often find this truth so difficult to accept that they choose a combination of hope for reasonable weather and outright denial. One measure of the shortage is that the reported 1998 peak price of $7,000 per megawatt-hour (MWh) was so high that, were it to prevail even for 48 hours, a new combustion turbine could be fully paid off. In other words, any net revenues during the remaining 8,712 hours of the first year that the combustion turbine comes on line and of the rest of the plant`s multidecade life would be pure profit. Another measure is that many parts of the country are poised to join Colorado and Alberta in the rolling blackout-due-to-capacity-shortfall club.

Rose, J.L. [ICF Kaiser International Inc., Fairfax, VA (United States)

1998-11-01T23:59:59.000Z

384

HEALTH FEE/STUDENT HEALTH INSURANCE BENEFIT SUMMARY University policy requires all students registered for six or more credit hours (three hours for each  

E-Print Network (OSTI)

fee. The health fee supports all services at Redfern Health Center and includes: Professional services of primary health care providers, psychologists, and health educators; Reduced costs on over the counter pharmaceuticals, laboratory, and X-ray services; $500 urgent care EXCESS benefit for after

Stuart, Steven J.

385

Energy, the Environment, and What Mathematicians Can Do  

E-Print Network (OSTI)

. This requires multiplying existing wind power by 50! Solar: Replace 700 gigawatts of coal power by solar power plants by wind power. This requires multiplying existing wind power by 50! Solar: Replace 700 gigawatts of coal power by solar power. This requires multiplying existing solar power by 700! #12;Some examples

Baez, John

386

Characteristics of Reprocessed Hydrometeorological Automated Data System (HADS) Hourly Precipitation Data  

Science Conference Proceedings (OSTI)

The Hydrometeorological Automated Data System (HADS) is a real-time data acquisition, processing, and distribution system operated by the Office of Hydrologic Development (OHD) of NOAAs National Weather Service (NWS). The initial reprocessing of ...

Dongsoo Kim; Brian Nelson; Dong-Jun Seo

2009-10-01T23:59:59.000Z

387

Australian Nuclear Science & Technology Organization (ANSTO) Interdicted Samples 24-Hour Report  

Science Conference Proceedings (OSTI)

Categorization is complete. Samples 11-3-1 (NSR-F-270409-01) and 11-3-2 (NSR-F-270409-02) are depleted uranium powders of moderate purity ({approx}65-80 % U). The uranium feed stocks for 11-3-1 and 11-3-2 have both experienced a neutron flux (as demonstrated by the presence of {sup 232}U). Sample 11-3-3 is indistinguishable from a natural uranium ore concentrate of moderate purity ({approx}70-80% U). Two anomalous objects (11-3-1-4 and 11-3-2-5) were found in the material during aliquoting. These objects might be valuable for route attribution.

Kristo, M J; Hutcheon, I D; Grant, P M; Borg, L E; Sharp, M A; Moody, K J; Conrado, C L; Wooddy, P T

2011-01-27T23:59:59.000Z

388

Statistical Properties of Three-Hour Prediction Errors Derived from the Mesoscale Analysis and Prediction System  

Science Conference Proceedings (OSTI)

Statistical properties of observed residuals from the Mesoscale Analysis and Prediction System (MAPS), a real-time data assimilation system, were investigated. Observed residuals are defined as differences between rawinsonde observations ...

Dezs? Dvnyi; Thomas W. Schlatter

1994-06-01T23:59:59.000Z

389

The Variability in Skill of 72-hour Global-Scale NMC Forecasts  

Science Conference Proceedings (OSTI)

The variability in skill of NMC 72-h 500 mb forecasts during recent winter is examined. Root-mean-square error, anomaly correlation, and the Fisher z-transformation of the anomaly correlation are used as measures of skill. This latter score is ...

Grant Branstator

1986-12-01T23:59:59.000Z

390

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

Research Energy Systems Integration What follows is one ofcontributes to the Energy Systems Integration Program. For

2005-01-01T23:59:59.000Z

391

MATH 180 Hour Exam II Radford 04/07/06 (Solution Included)  

E-Print Network (OSTI)

foot $10 per foot $15 per foot a) Find the total cost of the plants C in terms of the side length x to and (very expensive) plants are to border the other three sides with costs as indicated. WALL y x x $32 per) A rectangular garden covering 200 square feet is constructed as follows: one side is against a straight wall

Radford, David E.

392

SolOPT: PV and Solar Hot Water Hourly Simulation Software Tool  

In order to increase the speed and scale of Renewable Energy (RE) solar project deployment on buildings, energy savings analysis and a strong business ...

393

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

they reach their maximum demand, this effect is relativelyj customers' daily % of maximum demand THI* > 85 degrees on3A customers summer maximum demands range from about 2 MW

2005-01-01T23:59:59.000Z

394

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

of-Use Prices and Electricity Demand: Allowing for Selectionthe theory of customer electricity demand and the specificfor in evaluating electricity demand and price response. Hot

2005-01-01T23:59:59.000Z

395

Hourly analysis of a very large topically categorized web query log  

Science Conference Proceedings (OSTI)

We review a query log of hundreds of millions of queries that constitute the total query traffic for an entire week of a general-purpose commercial web search service. Previously, query logs have been studied from a single, cumulative view. In contrast, ... Keywords: query log analysis, web search

Steven M. Beitzel; Eric C. Jensen; Abdur Chowdhury; David Grossman; Ophir Frieder

2004-07-01T23:59:59.000Z

396

Restart of 300kA Potlines after 5 Hours Power Failure  

Science Conference Proceedings (OSTI)

Retrofit of a Combined Breaker Feeder with a Chisel Bath Contact Detection System to Reduce Anode Effect Frequency in a Potroom Simulating Traffic in a...

397

Public Parking is available at an hourly rate at the University Square car park.  

E-Print Network (OSTI)

for generalization beyond what was trained. 11 #12;Figure 5: Checkers Substrate. The substrate (at left) contains of checkers. Each approach is trained against the same hand-engineered deterministic opponent (Fierz, 2002 (jgauci@eecs.ucf.edu ) Kenneth O. Stanley (kstanley@eecs.ucf.edu) School of Electrical Engineering

Heiser, Gernot

398

Stability of supply function equilibria: Implications for daily versus hourly bids  

E-Print Network (OSTI)

market. Ross Baldick Department of Electrical and Computer Engineering The University of Texas at Austin an electricity market where generating rms bid to supply energy, Analyze the e ect of requiring that the bid

Baldick, Ross

399

Stability of supply function equilibria: Implications for daily versus hourly bids  

E-Print Network (OSTI)

market Ross Baldick Department of Electrical and Computer Engineering The University of Texas at Austin bid to supply energy and we analyze the e ect of requiring that the bid remains xed throughout a time

Baldick, Ross

400

100 million hours of audiovisual content: digital preservation and access in the PrestoPRIME project  

Science Conference Proceedings (OSTI)

We report preliminary results of PrestoPRIME, an EU FP7 integrated project, including audiovisual (AV) archives, academics and industrial partners, focused on long-term digital preservation of AV media objects and on improving access by integrating media ... Keywords: audiovisual archives, broadcast, digital preservation, long-term preservation framework

Matthew Addis; Walter Allasia; Werner Bailer; Laurent Boch; Francesco Gallo; Richard Wright

2010-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Leveraging temporal and spatial separations with the 24-hour knowledge factory paradigm  

Science Conference Proceedings (OSTI)

The 24-H Knowledge Factory facilitates collaboration between geographically and temporally distributed teams. The teams themselves form a strategic partnership whose joint efforts contribute to the completion of a project. Project-related tasks are likewise ... Keywords: Data management, Global software development, Knowledge representation, Offshoring

Amar Gupta; Igor Crk; Rajdeep Bondade

2011-07-01T23:59:59.000Z

402

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

2003). An Evaluation of Demand Response in New York Statewas coordinated by the Demand Response Research Center and2001, RTP Customer Demand Response Empirical Evidence on

2005-01-01T23:59:59.000Z

403

One Hundred Inches in One Hundred Hours: Evolution of a Wasatch Mountain Winter Storm Cycle  

Science Conference Proceedings (OSTI)

Synoptic, orographic, and lake-effect precipitation processes during a major winter storm cycle over the Wasatch Mountains of northern Utah are examined using radar imagery, high-density surface data, and precipitation observations from Alta Ski ...

W. James Steenburgh

2003-12-01T23:59:59.000Z

404

Demand Response from Day-Ahead Hourly Pricing for Large Customers  

SciTech Connect

Day-ahead default-service RTP for large customers not only improves the linkage between wholesale and retail markets, but also promotes the development of retail competition. The default service sets a standard for competitive alternatives and its structure shapes the types of retail market products that develop. (author)

Hopper, Nicole; Goldman, Charles; Neenan, Bernie

2006-04-15T23:59:59.000Z

405

The Estimation of Hourly Global Solar Radiation Using a Cloud Cover Model Developed at Blytheville, Arkansas  

Science Conference Proceedings (OSTI)

The lack of a comprehensive solar radiation monitoring network throughout the United States has led to extensive modeling. Some of the models use a measured component, usually the global solar radiation, to predict the other components, direct ...

W. D. Turner; Abdulaziz Mujahid

1984-05-01T23:59:59.000Z

406

Learning Object-Oriented Programming in Six hours: an experience with school students  

E-Print Network (OSTI)

Hussey,A. Leadbetter,D. Purchase,H.C. Proceedings of the Second Australasian Conference on Computer Science Education, Hurst, J.(ed). ACM Press

Hussey, A.; Leadbetter, D.; Purchase, H.C.

407

Modelling peak-hour urban freight movements with limited data availability  

Science Conference Proceedings (OSTI)

Modelling the complexity of urban freight transport requires large amounts of data related to supply chain management, delivery practices, tour configuration, time windows, etc., but when all this detailed data is not available local authorities still ... Keywords: City logistics, Entropy maximisation, Origin-destination matrix, Simulated annealing, Urban freight

Jess Muuzuri; Pablo Corts; Luis Onieva; Jos Guadix

2010-08-01T23:59:59.000Z

408

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

DOE Green Energy (OSTI)

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.

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

2012-08-01T23:59:59.000Z

409

Intra-hour Direct Normal Irradiance solar forecasting using genetic programming  

E-Print Network (OSTI)

E. Ruano, Prediction of the solar radiation evolution usingComputation of beam solar radiation at normal incidencein estimating global solar radiation, Solar Energy, vol.

Queener, Benjamin Daniel

2012-01-01T23:59:59.000Z

410

After-hours Power Status of Office Equipment in the USA  

E-Print Network (OSTI)

devices left on at night, is energy consumption being reduced through powerPower management refers to a set of strategies used to reduce energy consumption of devicespower, or off. These are a simplified representation of a devices energy consumption

Webber, Carrie A.; Roberson, Judy A.; McWhinney, Marla C.; Brown, Richard E.; Pinckard, Margaret J.; Busch, John F.

2005-01-01T23:59:59.000Z

411

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

DOE Green Energy (OSTI)

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.

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

1994-08-01T23:59:59.000Z

412

1894 APW19980923.1395 1 hours, JPL said. After five more ...  

Science Conference Proceedings (OSTI)

... In addition, deposits of coal, oil shale 2016 XIE19960311.0179 -1 One of China's major coal producers, the region turned out a record of 14 million ...

2003-10-01T23:59:59.000Z

413

Mathematical simulation of air pollution in Tbilisi streets for rush hours  

Science Conference Proceedings (OSTI)

Using mathematical simulation, distribution of concentration of harmful substances NOx at the crossroad of Agmashenebeli and King Tamar Avenue, where traffic is congested, and for the whole territory adjoined to the crossroad have been studied. ... Keywords: air pollution, influences of traffic-lights, mathematical simulation

Teimuraz Davitashvili

2009-06-01T23:59:59.000Z

414

Help when you need it: 24 hours a day! That's Online Tutoring: Anywhere, Anytime  

E-Print Network (OSTI)

.smarthinking.com Troubleshooting Tips: Make sure that your browser is set up to allow cookies and pop-up windows. SMARTHINKING

District of Columbia, University of the

415

Highlights of a new ground-based, hourly global lightning climatology  

Science Conference Proceedings (OSTI)

The seasonally and diurnally-varying frequency of lightning flashes provides a measure of the frequency of occurrence of intense convection and, as such, is useful in describing the Earth's climate. Here we present a few highlights of a global lightning ...

Katrina S. Virts; John M. Wallace; Michael L. Hutchins; Robert H. Holzworth

416

On the Relative Accuracy of Satellite and Raingage Rainfall Measurements over Middle Latitudes during Daylight Hours  

Science Conference Proceedings (OSTI)

Empirical relationships between visible and/or IR data and rainfall rate are derived by comparing gage-calibrated radar data with colocated satellite information over Montreal, Canada. The accuracy of 1739 point gage-satellite measurements from ...

A. Bellon; G. L. Austin

1986-11-01T23:59:59.000Z

417

Geographical extrapolation of typical hourly weather data for energy calculation in buildings  

E-Print Network (OSTI)

differences between New York and Albany caused poorthe net- work (New York, Albany, Lakehurst, Philadelphia).for the stations New York, Albany, Philadelphia, and

Arens, Edward A; Flynn, Larry E; Nall, Daniel N; Ruberg, Kalev

1980-01-01T23:59:59.000Z

418

Experimental and cost analyses of a one kilowatt-hour/day domestic refrigerator-freezer  

SciTech Connect

Over the past ten years, government regulations for energy standards, coupled with the utility industry`s promotion of energy-efficient appliances, have prompted appliance manufacturers to reduce energy consumption in refrigerator-freezers by approximately 40%. Global concerns over ozone depletion have also required the appliance industry to eliminate CFC-12 and CFC-11 while concurrently improving energy efficiency to reduce greenhouse emissions. In response to expected future regulations that will be more stringent, several design options were investigated for improving the energy efficiency of a conventionally designed, domestic refrigerator-freezer. The options, such as cabinet and door insulation improvements and a high-efficiency compressor were incorporated into a prototype refrigerator-freezer cabinet and refrigeration system. Baseline energy consumption of the original 1996 production refrigerator-freezer, along with cabinet heat load and compressor calorimeter test results, were extensively documented to provide a firm basis for experimentally measured energy savings. The goal for the project was to achieve an energy consumption that is 50% below in 1993 National Appliance Energy Conservation Act (NAECA) standard for 20 ft{sup 3} (570 l) units. Based on discussions with manufacturers to determine the most promising energy-saving options, a laboratory prototype was fabricated and tested to experimentally verify the energy consumption of a unit with vacuum insulation around the freezer, increased door thicknesses, a high-efficiency compressor, a low wattage condenser fan, a larger counterflow evaporator, and adaptive defrost control.

Vineyard, E.A.; Sand, J.R.

1997-05-01T23:59:59.000Z

419

UR Self-Service Hours of Operation Available 24/7, except for daily updates  

E-Print Network (OSTI)

5) Choose the Term 6) Search for courses by subject, and narrow down your search by course number for Classes 4) Select a Term To Add a Course 1) Scroll down to Add Class Worksheet 2) Enter your CRN 2) Class Schedules 3) Class Sections Requiring Staff Registration 4) Select a term 5) Search

Argerami, Martin

420

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

Response to Electricity Real-Time Prices: Short Run and LongResponse to Electricity Real-Time Prices: Short Run and LongResponse to Real Time Electricity Prices, Unpublished

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Highlights of a New Ground-Based, Hourly Global Lightning Climatology  

Science Conference Proceedings (OSTI)

The seasonally and diurnally varying frequency of lightning flashes provides a measure of the frequency of occurrence of intense convection and, as such, is useful in describing the Earth's climate. Here we present a few highlights of a global lightning ...

Katrina S. Virts; John M. Wallace; Michael L. Hutchins; Robert H. Holzworth

2013-09-01T23:59:59.000Z

422

Short Term Hourly Load Forecasting Using Abductive Networks R. E. Abdel-Aal  

E-Print Network (OSTI)

--Congestion forecasting, price forecasting, wholesale power market, locational marginal price, load partitioning, convex for system planning.1 Many studies have focused on electricity price forecasting based on statistical tools distributed loads and DC-OPF system variable solutions was identified and applied to forecast congestion

Abdel-Aal, Radwan E.

423

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

2. To reduce overall electricity bills 3. To reduce peak-8 2. To reduce overall electricity bills 3. To reduce peak-2. To reduce overall electricity bills 3. To reduce peak-

2005-01-01T23:59:59.000Z

424

A System for the Hourly Assimilation of Surface Observations in Mountainous and Flat Terrain  

Science Conference Proceedings (OSTI)

An assimilation system is presented that was designed to provide timely, detailed, and coherent analyses of surface data, even when the data are collected in rough terrain where station elevations differ widely and observations are often subject ...

Patricia A. Miller; Stanley G. Benjamin

1992-10-01T23:59:59.000Z

425

SCHOOL OF MATHEMATICS AND STATISTICS Spring Semester Time Series 2 hours  

E-Print Network (OSTI)

to University regulations. There are 99 marks available on the paper. Please leave this exam paper on your desk time series and their relationship, using suitable technical terms and adding approximate quanti series model Xt = 1 3 Xt-1 + t + 1 2 t-1 - 1 4 t-2, where t is white noise with variance 4. (i) Explain

Oakley, Jeremy

426

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

bills 3. To reduce peak-demand charges 4. Facility/processbills 3. To reduce peak-demand charges 4. Facility/processbills 3. To reduce peak-demand charges 4. Emergency backup /

2005-01-01T23:59:59.000Z

427

Detecting an infrared Photon within an Hour -- Transition-Edge Detector at ALPS-II  

E-Print Network (OSTI)

An essential design requirement of the ALPS-II experiment is the efficient detection of single photons with a very low instrumental background of 10 {\\mu}Hz. In 2011 the ALPS collaboration started to set up a TES detector (Transition-Edge Sensor) for ALPS-II, the second phase of the experiment. Since mid of 2013 the setup is ready for characterization in the ALPS laboratory: an ADR cryostat (Adiabatic Demagnetization Refrigerator) as millikelvin environment, a low noise SQUID (Superconducting Quantum Interference Device) with electronics for read-out and a fiber-coupled high-efficient TES for near-infrared photons as sensor. First measurements have shown a good discrimination between noise and 1064 nm signals.

Jan Dreyling-Eschweiler; Dieter Horns; Friederike Januschek; Axel Lindner; for the ALPS-II collaboration

2013-09-19T23:59:59.000Z

428

Detecting an infrared Photon within an Hour -- Transition-Edge Detector at ALPS-II  

E-Print Network (OSTI)

An essential design requirement of the ALPS-II experiment is the efficient detection of single photons with a very low instrumental background of 10 {\\mu}Hz. In 2011 the ALPS collaboration started to set up a TES detector (Transition-Edge Sensor) for ALPS-II, the second phase of the experiment. Since mid of 2013 the setup is ready for characterization in the ALPS laboratory: an ADR cryostat (Adiabatic Demagnetization Refrigerator) as millikelvin environment, a low noise SQUID (Superconducting Quantum Interference Device) with electronics for read-out and a fiber-coupled high-efficient TES for near-infrared photons as sensor. First measurements have shown a good discrimination between noise and 1064 nm signals.

Dreyling-Eschweiler, Jan

2013-01-01T23:59:59.000Z

429

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

National Nuclear Security Administration (NNSA)

version Facebook Twitter Youtube Flickr NNSA Blog October 2013 (1) September 2013 (18) August 2013 (17) July 2013 (20) June 2013 (19) May 2013 (25) April 2013 (17) March 2013...

430

Energy Use per Worker-Hour: Evaluating the Contribution of Labor to Manufacturing Energy Use  

E-Print Network (OSTI)

to primary energy supply for industry is representative ofenergy supply, which includes all primary energy except that supplied to industry,energy supply for the country. Countries with industries

Zhang, Teresa; Dornfeld, David

2007-01-01T23:59:59.000Z

431

Here is your MEDEX Identification Card WORLDWIDE 24-HOURS A DAY  

E-Print Network (OSTI)

of Medical Records Continuous Updates to Family, Employer and Home Physician Hotel Arrangements 1977, MEDEX has been assisting travelers worldwide by utilizing highly trained, multilingual

Quigg, Chris

432

Analysis of the California Labor and Workforce Development Agency's Enforcement of Wage and Hour Laws  

E-Print Network (OSTI)

California Labor Market Information Division. Sacramento:Labor Agencys Labor Market Information Division (LMID) andfrom the Labor Market Information Division, Employment

Ong, Paul M.; Rickles, Jordan

2004-01-01T23:59:59.000Z

433

24 Hour Day-Ahead Reactive Power Forecasting and Optimal Scheduling  

Science Conference Proceedings (OSTI)

Reactive power management affects not only the system voltage profiles but also system efficiencies. Changes in the flow of reactive power have an influence on system losses. Reactive power forecasting and optimal scheduling of power system control elements can be conducted to efficiently and reliably transfer power across the system. The tool discussed in this report optimizes the power system to produce a security-constrained case, reduce losses, increase reactive reserve, and securely maintain ...

2013-12-29T23:59:59.000Z

434

Fridge of the future: Designing a one-kilowatt-hour/day domestic refrigerator-freezer  

SciTech Connect

An industry/government Cooperative Research and Development Agreement (CRADA) was established to evaluate and test design concepts for a domestic refrigerator-freezer unit that represents approximately 60% of the US market. The goal of the CRADA was to demonstrate advanced technologies which reduce, by 50 percent, the 1993 NAECA standard energy consumption for a 20 ft{sup 3} (570 I) top-mount, automatic-defrost, refrigerator-freezer. For a unit this size, the goal translated to an energy consumption of 1.003 kWh/d. The general objective of the research was to facilitate the introduction of cost-efficient technologies by demonstrating design changes that can be effectively incorporated into new products. A 1996 model refrigerator-freezer was selected as the baseline unit for testing. Since the unit was required to meet the 1993 NAECA standards, the energy consumption was quite low (1.676 kWh/d), thus making further reductions in energy consumption very challenging. Among the energy saving features incorporated into the original design of the baseline unit were a low-wattage evaporator fan, increased insulation thicknesses, and liquid line flange heaters.

Vineyard, E.A.; Sand, J.R.

1998-03-01T23:59:59.000Z

435

Typically, hotel bathroom lights are left on between five to eight hours per occupied  

E-Print Network (OSTI)

, receptions, coffee breaks, ground transportation, and conference materials. You are responsible for all hotel costs. CONFERENCE HOTELS Crown Plaza Cabana 4290 El Camino Real Palo Alto, CA 94306 Do not call the hotel directly for reservations. All reservations will be handled through The DANI Group once your

436

Bathroom lights generally operate between five to eight hours per occupied  

E-Print Network (OSTI)

Symposium on the Global Energy Future October 1 ­ 5, 2010 Financial Policy & Travel Reimbursement reimbursement procedures for University Partner visitors attending the Symposium on the Global Energy Future to $5000 for travel related expenses to St. Louis in addition to providing one (1) hotel room at the Ritz

437

Linear Regime Duration: Is 24 Hours a Long Time in Synoptic Weather Forecasting?  

Science Conference Proceedings (OSTI)

Day-to-day variations in the growth of uncertainty in the current state of the atmosphere have led to operational ensemble weather predictions in which an ensemble of different initial conditions, each perturbed from the best estimate of the ...

Isla Gilmour; Leonard A. Smith; Roberto Buizza

2001-11-01T23:59:59.000Z

438

The GEOS-3 Retrospective Data Assimilation System: The 6-Hour Lag Case  

Science Conference Proceedings (OSTI)

The fixed-lag Kalman smoother (FLKS) has been proposed as a framework to construct data assimilation procedures capable of producing high-quality climate research datasets. FLKS-based systems, referred to as retrospective data assimilation ...

Yanqiu Zhu; Ricardo Todling; Jing Guo; Stephen E. Cohn; I. Michael Navon; Yan Yang

2003-09-01T23:59:59.000Z

439

Climatic-related Evaluations of the Summer Peak-Hours' Electric Load in Israel  

Science Conference Proceedings (OSTI)

The interrelationship between the Summer peak electric load in Israel and pertinent meteorological parameters, including the commonly used outdoor biometeorological comfort index, is evaluated conceptually and statistically. Linear regression ...

M. Segal; H. Shafir; M. Mandel; P. Alpert; Y. Balmor

1992-12-01T23:59:59.000Z

440

Spring 2013 www.ecu.edu/services Proceeds from the three-hour  

E-Print Network (OSTI)

of candy, fresh baked brownies, pizza slices, 2 liter drinks, and water guns, to ECU t-shirts, Dowdy gift Services, left, and Cristin Winslow, Coke ECU sales manager. #12;Cathy Laney Business Services names, Surplus Property and Cash /Sales Store, University Printing & Graphics, University Property, and Vending

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Geographical extrapolation of typical hourly weather data for energy calculation in buildings  

E-Print Network (OSTI)

FOR REAL 1951 YEARS PASSIVE HOUSES DAILY LOADS FOR REAL 1951Requirements for Real Year Passive Houses DAILY LOADS FORranch house of 112 m^ (1,200 ft^), a more massive passive

Arens, Edward A; Flynn, Larry E; Nall, Daniel N; Ruberg, Kalev

1980-01-01T23:59:59.000Z

442

Application of soft computing models to hourly weather analysis in southern Saskatchewan, Canada  

Science Conference Proceedings (OSTI)

Accurate weather forecasts are necessary for planning our day-to-day activities. However, dynamic behavior of weather makes the forecasting a formidable challenge. This study presents a soft computing model based on a radial basis function network (RBFN) ... Keywords: Artificial neural networks, Decision support, Forecasting, Modeling, Simulation, Soft computing, Weather

Imran Maqsood; Muhammad Riaz Khan; Guo H. Huang; Rifaat Abdalla

2005-02-01T23:59:59.000Z

443

Third Generation Flywheels for electric storage  

Science Conference Proceedings (OSTI)

Electricity is critical to our economy, but growth in demand has saturated the power grid causing instability and blackouts. The economic penalty due to lost productivity in the US exceeds $100 billion per year. Opposition to new transmission lines and power plants, environmental restrictions, and an expected $100 billion grid upgrade cost have slowed system improvements. Flywheel electricity storage could provide a more economical, environmentally benign alternative and slash economic losses if units could be scaled up in a cost effective manner to much larger power and capacity than the present maximum of a few hundred kW and a few kWh per flywheel. The goal of this project is to design, construct, and demonstrate a small-scale third generation electricity storage flywheel using a revolutionary architecture scalable to megawatt-hours per unit. First generation flywheels are built from bulk materials such as steel and provide inertia to smooth the motion of mechanical devices such as engines. They can be scaled up to tens of tons or more, but have relatively low energy storage density. Second generation flywheels use similar designs but are fabricated with composite materials such as carbon fiber and epoxy. They are capable of much higher energy storage density but cannot economically be built larger than a few kWh of storage capacity due to structural and stability limitations. LaunchPoint is developing a third generation flywheel the "Power Ring" with energy densities as high or higher than second generation flywheels and a totally new architecture scalable to enormous sizes. Electricity storage capacities exceeding 5 megawatt-hours per unit appear both technically feasible and economically attractive. Our design uses a new class of magnetic bearing a radial gap shear-force levitator that we discovered and patented, and a thin-walled composite hoop rotated at high speed to store kinetic energy. One immediate application is power grid frequency regulation, where Power Rings could cut costs, reduce fuel consumption, eliminate emissions, and reduce the need for new power plants. Other applications include hybrid diesel-electric locomotives, grid power quality, support for renewable energy, spinning reserve, energy management, and facility deferral. Decreased need for new generation and transmission alone could save the nation $2.5 billion per year. Improved grid reliability could cut economic losses due to poor power quality by tens of billions of dollars per year. A large export market for this technology could also develop. Power Ring technology will directly support the EERE mission, and the goals of the Distributed Energy Technologies Subprogram in particular, by helping to reduce blackouts, brownouts, electricity costs, and emissions, by relieving transmission bottlenecks, and by greatly improving grid power quality.

Ricci, Michael, R.; Fiske, O. James

2008-02-29T23:59:59.000Z

444

Table 1. 2010 Summary Statistics  

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

District of Columbia" District of Columbia" "NERC Region(s)",,"RFC" "Primary Energy Source",,"Petroleum" "Net Summer Capacity (megawatts)",790,51 " Independent Power Producers & Combined Heat and Power",790,46 "Net Generation (megawatthours)",199858,51 " Independent Power Producers & Combined Heat and Power",199858,51 "Emissions (thousand metric tons)" " Sulfur Dioxide",1,49 " Nitrogen Oxide","*",51 " Carbon Dioxide",191,50 " Sulfur Dioxide (lbs/MWh)",8.8,2 " Nitrogen Oxide (lbs/MWh)",4,3 " Carbon Dioxide (lbs/MWh)",2104,1 "Total Retail Sales (megawatthours)",11876995,43 " Full Service Provider Sales (megawatthours)",3388490,50

445

EIA - State Electricity Profiles  

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

Maine Electricity Profile 2010 Maine profile Maine Electricity Profile 2010 Maine profile Table 1. 2010 Summary Statistics (Maine) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 4,430 42 Electric Utilities 19 49 Independent Power Producers & Combined Heat and Power 4,410 25 Net Generation (megawatthours) 17,018,660 43 Electric Utilities 1,759 49 Independent Power Producers & Combined Heat and Power 17,016,901 22 Emissions (thousand metric tons) Sulfur Dioxide 12 42 Nitrogen Oxide 8 44 Carbon Dioxide 4,948 44 Sulfur Dioxide (lbs/MWh) 1.6 36 Nitrogen Oxide (lbs/MWh) 1.1 33 Carbon Dioxide (lbs/MWh) 641 44 Total Retail Sales (megawatthours) 11,531,568 45 Full Service Provider Sales (megawatthours) 151,588 51 Energy-Only Provider Sales (megawatthours) 11,379,980 10

446

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Vermont Electricity Profile 2010 Vermont profile Vermont Electricity Profile 2010 Vermont profile Table 1. 2010 Summary Statistics (Vermont) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 1,128 50 Electric Utilities 260 45 Independent Power Producers & Combined Heat and Power 868 43 Net Generation (megawatthours) 6,619,990 49 Electric Utilities 720,853 44 Independent Power Producers & Combined Heat and Power 5,899,137 35 Emissions (thousand metric tons) Sulfur Dioxide * 51 Nitrogen Oxide 1 50 Carbon Dioxide 8 51 Sulfur Dioxide (lbs/MWh) * 51 Nitrogen Oxide (lbs/MWh) 0.2 51 Carbon Dioxide (lbs/MWh) 3 51 Total Retail Sales (megawatthours) 5,594,833 51 Full Service Provider Sales (megawatthours) 5,594,833 48 Direct Use (megawatthours) 19,806 47

447

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Maine Electricity Profile 2010 Maine profile Maine Electricity Profile 2010 Maine profile Table 1. 2010 Summary Statistics (Maine) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 4,430 42 Electric Utilities 19 49 Independent Power Producers & Combined Heat and Power 4,410 25 Net Generation (megawatthours) 17,018,660 43 Electric Utilities 1,759 49 Independent Power Producers & Combined Heat and Power 17,016,901 22 Emissions (thousand metric tons) Sulfur Dioxide 12 42 Nitrogen Oxide 8 44 Carbon Dioxide 4,948 44 Sulfur Dioxide (lbs/MWh) 1.6 36 Nitrogen Oxide (lbs/MWh) 1.1 33 Carbon Dioxide (lbs/MWh) 641 44 Total Retail Sales (megawatthours) 11,531,568 45 Full Service Provider Sales (megawatthours) 151,588 51 Energy-Only Provider Sales (megawatthours) 11,379,980 10

448

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

District of Columbia Electricity Profile 2010 District of Columbia profile District of Columbia Electricity Profile 2010 District of Columbia profile Table 1. 2010 Summary Statistics (District of Columbia) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Petroleum Net Summer Capacity (megawatts) 790 51 Independent Power Producers & Combined Heat and Power 790 46 Net Generation (megawatthours) 199,858 51 Independent Power Producers & Combined Heat and Power 199,858 51 Emissions (thousand metric tons) Sulfur Dioxide 1 49 Nitrogen Oxide * 51 Carbon Dioxide 191 50 Sulfur Dioxide (lbs/MWh) 8.8 2 Nitrogen Oxide (lbs/MWh) 4.0 3 Carbon Dioxide (lbs/MWh) 2,104 1 Total Retail Sales (megawatthours) 11,876,995 43 Full Service Provider Sales (megawatthours) 3,388,490 50 Energy-Only Provider Sales (megawatthours) 8,488,505 12

449

Definition: Electrical Energy | Open Energy Information  

Open Energy Info (EERE)

Energy The generation or use of electric power by a device over a period of time, expressed in kilowatthours (kWh), megawatthours (MWh), or gigawatthours (GWh).1 Related Terms...

450

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Utah" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2...

451

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Iowa" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2...

452

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Ohio" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2...

453

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "New York" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,19...

454

Electric Power Annual  

Gasoline and Diesel Fuel Update (EIA)

3. Electric Power Industry - U.S. Electricity Imports from and Electricity Exports to Canada and Mexico, 2001-2011 (Megawatthours) Canada Mexico U.S. Total Year Imports from...

455

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Capacity (megawatts) 27,638 13 Electric Utilities 23,008 8 Independent Power Producers & Combined Heat and Power 4,630 23 Net Generation (megawatthours) 125,180,739 11 Electric...

456

EIA - State Electricity Profiles  

Annual Energy Outlook 2012 (EIA)

Capacity (megawatts) 44,127 5 Electric Utilities 4,800 35 Independent Power Producers & Combined Heat and Power 39,327 3 Net Generation (megawatthours) 201,351,872 5 Electric...

457

EIA - State Electricity Profiles  

Annual Energy Outlook 2012 (EIA)

Capacity (megawatts) 26,392 15 Electric Utilities 20,115 14 Independent Power Producers & Combined Heat and Power 6,277 16 Net Generation (megawatthours) 111,750,957 12 Electric...

458

EIA - State Electricity Profiles  

Annual Energy Outlook 2012 (EIA)

Capacity (megawatts) 36,636 7 Electric Utilities 26,639 3 Independent Power Producers & Combined Heat and Power 9,998 11 Net Generation (megawatthours) 137,576,941 8 Electric...

459

Entity State  

Gasoline and Diesel Fuel Update (EIA)

Consumers Sales (megawatthours) Revenue (thousand dollars) Average Retail Price (centskWh) 3 Phases Renewables CA Power Marketer 119 1,122 65 5.79 Commerce Energy, Inc. CA Power...

460

Entity State  

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

Consumers Sales (megawatthours) Revenue (thousand dollars) Average Retail Price (centskWh) 3 Phases Renewables CA Power Marketer 153 35,958 1,999 5.56 Calpine Power America LLC...

Note: This page contains sample records for the topic "megawatthour gigawatt hours" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",6871,179,"NA",657,6,3177,"NA",10890 "Percentage of Retail Sales",63.1,1.64,"NA",6.03,0.05,29.17,"NA",100 "Revenue from Retail Sales...

462

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",48953,1204,"NA",155,170,28697,"NA",79179 "Percentage of Retail Sales",61.83,1.52,"NA",0.2,0.21,36.24,"NA",100 "Revenue from Retail Sales...

463

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",6495,17,422,3870,"NA",2620,"NA",13423 "Percentage of Retail Sales",48.38,0.12,3.14,28.83,"NA",19.52,"NA",100 "Revenue from Retail...

464

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",4451,1869,"NA",1262,"NA",4023,"NA",11606 "Percentage of Retail Sales",38.35,16.11,"NA",10.88,"NA",34.67,"NA",100 "Revenue from Retail...

465

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",30357,46998,6787,3975,"NA",2263,"NA",90380 "Percentage of Retail Sales",33.59,52,7.51,4.4,"NA",2.5,"NA",100 "Revenue from Retail Sales...

466

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",55060,23624,"NA",204,233,65504,"NA",144624 "Percentage of Retail Sales",38.07,16.33,"NA",0.14,0.16,45.29,"NA",100 "Revenue from Retail...

467

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",87335,10029,"NA",7813,153,48816,"NA",154145 "Percentage of Retail Sales",56.66,6.51,"NA",5.07,0.1,31.67,"NA",100 "Revenue from Retail Sales...

468

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",11724,1952,"NA","NA",39,16677,"NA",30392 "Percentage of Retail Sales",38.58,6.42,"NA","NA",0.13,54.87,"NA",100 "Revenue from Retail Sales...

469

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",30754,762,"NA",4566,"NA",29253,"NA",65335 "Percentage of Retail Sales",47.07,1.17,"NA",6.99,"NA",44.77,"NA",100 "Revenue from Retail Sales...

470

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",30115,8791,108,13703,201,"NA","NA",52918 "Percentage of Retail Sales",56.91,16.61,0.2,25.89,0.38,"NA","NA",100 "Revenue from Retail Sales...

471

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",101256,16457,6,18696,"NA","NA","NA",136415 "Percentage of Retail Sales",74.23,12.06,"*",13.71,"NA","NA","NA",100 "Revenue from Retail Sales...

472

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

Sales (thousand megawatthours)",177437,59446,2326,290,1449,17577,"NA",258525 "Percentage of Retail Sales",68.63,22.99,0.9,0.11,0.56,6.8,"NA",100 "Revenue from Retail Sales...

473

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",43321,9562,57,14095,765,"NA","NA",67800 "Percentage of Retail Sales",63.9,14.1,0.08,20.79,1.13,"NA","NA",100 "Revenue from Retail Sales...

474

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",5730,1503,317,3807,"NA","NA","NA",11356 "Percentage of Retail Sales",50.46,13.23,2.79,33.53,"NA","NA","NA",100 "Revenue from Retail...

475

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

(thousand megawatthours)",2351888,557452,43710,411939,10219,379277,"NA",3754486 "Percentage of Retail Sales",62.64,14.85,1.16,10.97,0.27,10.1,"NA",100 "Revenue from Retail...

476

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",175247,36079,"NA",19883,1,"NA","NA",231210 "Percentage of Retail Sales",75.8,15.6,"NA",8.6,"*","NA","NA",100 "Revenue from Retail Sales...

477

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",64250,6888,"NA",6288,465,66870,"NA",144761 "Percentage of Retail Sales",44.38,4.76,"NA",4.34,0.32,46.19,"NA",100 "Revenue from Retail Sales...

478

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",31029,8939,4,4554,"NA",1500,"NA",46026 "Percentage of Retail Sales",67.42,19.42,0.01,9.89,"NA",3.26,"NA",100 "Revenue from Retail Sales...

479

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",2240,71159,6832,23183,107,"NA","NA",103522 "Percentage of Retail Sales",2.16,68.74,6.6,22.39,0.1,"NA","NA",100 "Revenue from Retail Sales...

480

Analysis of the tradeoff between irrigated agriculure and hydroelectric power in the Pacific Northwest. [Base-line estimate of the effects of agricultural irrigation on the hydroelectric power generating potential projected for the year 2020  

DOE Green Energy (OSTI)

Hydrogeneration and irrigated agriculture are major competing users of the waters of the Columbia River and its tributaries. Irrigated agriculture requires the diversion of large amounts of water from the rivers, only part of which returns. As a result, streamflow is reduced and the generation potential of dams located downstream from points of irrigation diversion is reduced. In addition, irrigated agriculture involves the direct consumption of electricity to pump irrigation water and to apply it to crops in the field. The purpose of this report is to make a baseline estimate of the impact on the electrical generation system in the region of the level of irrigation development projected for year 2020 by the states of Oregon, Washington, and Idaho. This baseline estimate reflects the assumption that current conditions will prevail in the future. The results, therefore, provide a standard against which the impacts of changes in current conditions can be measured. It is estimated that the projected development level of 11.4 million acres of irrigated agriculture in Oregon, Washington, and Idaho by year 2020 would result in foregone hydroelectric generation potential of approximately 17.8 million megawatt-hours (MWh) annually and direct consumption of electric power for pumping and application of approximately 10.3 million MWh's annually. Thus, a total of 28.1 million MWh's of electric power generation will have to be traded off each year if irrigated agriculture is to be conducted on the projected scale. (ERB)

Davis, A. E.

1979-01-01T23:59:59.000Z

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481

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

SciTech Connect

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.

Wiser, Ryan; Bolinger, Mark

2005-06-01T23:59:59.000Z

482

EPA Clean Energy-Environment Technical Forum Renewable Energy Certificates: Background & Resources  

E-Print Network (OSTI)

Renewable energy certificates (RECs) are transferable commodities that represent the environmental and other non-power attributes of renewable energy. RECs are used to demonstrate compliance with state renewable portfolio standards (RPS) which are designed to increase development and production of energy from renewable resources by imposing mandated targets for retail sales of renewable generation. RECS are also used in the voluntary green power market which allows individual purchasers to voluntarily purchase a REC and then claim an environmental benefit associated with that purchase. This background paper describes the importance of RECs and how state RPS policies and tracking systems influence REC availability, cost of compliance and price differences in REC markets from state to state. Resources for additional information about these topics are also provided. I. What is a REC? Renewable Energy Certificates (RECs) represent the environmental and other non-power attributes of renewable electricity. RECs are measured in megawatt-hours (MWh) and are created at the point of generation, as the electricity is introduced into the electricity grid. RECs are numbered, paper certificates that represent each MWh of renewable energy sold and provide

unknown authors

2008-01-01T23:59:59.000Z

483

eGRID2007 Version 1.1 - All Files | OpenEI  

Open Energy Info (EERE)

eGRID2007 Version 1.1 - All Files eGRID2007 Version 1.1 - All Files Dataset Summary Description The Emissions & Generation Resource Integrated Database (eGRID) is a comprehensive inventory of environmental attributes of electric power systems. The preeminent source of air emissions data for the electric power sector, eGRID is based on available plant-specific data for all U.S. electricity generating plants that provide power to the electric grid and report data to the U.S. government. eGRID integrates many different federal data sources on power plants and power companies, from three different federal agencies: EPA, the Energy Information Administration (EIA), and the Federal Energy Regulatory Commission (FERC). Emissions data from EPA are carefully integrated with generation data from EIA to produce useful values like pounds per megawatt-hour (lb/MWh) of emissions, which allows direct comparison of the environmental attributes of electricity generation. eGRID also provides aggregated data by state, U.S. total, company, and by three different sets of electric grid boundaries.This particular distribution consists of a single zip file that contains all available eGrid 2007 spreadsheet files, state import-export files, Technical Support Documents, Summary Tables, GHG output emission rates, the EUEC2010 paper, and graphical representations of eGRID subregions and NERC regions maps.

484

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

Nuclear Nuclear On This Page EPACT2005 tax credits... EPACT2005 tax credits stimulate some nuclear builds In the AEO2011 Reference case, nuclear power capacity increases from 101.0 gigawatts in 2009 to 110.5 gigawatts in 2035 (Figure 82), including 3.8 gigawatts of expansion at existing plants and 6.3 gigawatts of new capacity. The new capacity includes completion of a second unit at the Watts Bar site, where construction on a partially completed plant has resumed. Increases in the estimated costs for new nuclear plants make new investments in nuclear power uncertain. Four new nuclear power plants are completed in the Reference case, all of which are brought on line by 2020 to take advantage of Federal financial incentives. High construction costs for nuclear plants, especially relative to natural-gas-fired plants, make

485

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

Renewable Renewable Wind dominates renewable capacity growth, but solar and biomass gain market share figure data From 2010 to 2035, total nonhydropower renewable generating capacity more than doubles in the AEO2012 Reference case (Figure 100). Wind accounts for the largest share of that new capacity, increasing from 39 gigawatts in 2010 to 70 gigawatts in 2035. Both solar capacity and biomass capacity grow at faster rates than wind capacity, but they start from smaller levels. Excluding new projects already under construction, PV accounts for nearly all solar capacity additions both in the end-use sectors (where 11 gigawatts of PV capacity is added from 2010 to 2035) and in the electric power sector (8 gigawatts added from 2010 to 2035). While end-use solar capacity grows throughout the projection, the growth of solar capacity in

486

Nuclear | Open Energy Information  

Open Energy Info (EERE)

Nuclear Nuclear Jump to: navigation, search Click to return to AEO2011 page AEO2011 Data From AEO2011 report Full figure data for Figure 82. Reference Case Tables Table 1. Total Energy Supply, Disposition, and Price Summary Table 9. Electricy Generating Capacity Table 96. Electricity Generation by Electricity Market Module Region and Source Table 97. Electricity Generation Capacity by Electricity Market Module Region and Source Market Trends In the AEO2011 Reference case, nuclear power capacity increases from 101.0 gigawatts in 2009 to 110.5 gigawatts in 2035 (Figure 82), including 3.8 gigawatts of expansion at existing plants and 6.3 gigawatts of new capacity. The new capacity includes completion of a second unit at the Watts Bar site, where construction on a partially completed plant has

487

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

Nuclear Nuclear power plant capacity grows slowly through uprates and new builds figure data In the AEO2012 Reference case, nuclear power capacity increases from 101.2 gigawatts in...

488

Effects of self, induced and cross phase modulations on the generation of picosecond and femtosecond white light supercontinua  

E-Print Network (OSTI)

Spectroscopy and Lasers, and Photonics Application Laboratory, Departments of Electrical Engineering rates, gigawatt output peak powers, and femtosecond pulse durations. Ultrafast supercontinuum pulses materials [17-32]. A brief historical background of continuum gener- ation is displayed in figure 1

Paris-Sud XI, Université de

489

Power Technologies Energy Data Book: Fourth Edition, Chapter...  

NLE Websites -- All DOE Office Websites (Extended Search)

Table 6.5 - Electric-Generator Cumulative Additions and Retirements (Gigawatts) 1 2010 2015 2020 2025 2030 Cumulative Planned Additions Coal Steam 8.3 9.3 9.3 9.3 9.3 Other Fossil...

490

--No Title--  

NLE Websites -- All DOE Office Websites (Extended Search)

The solar cell market is growing at an astounding rate; since 2011 over 50 gigawatts of solar panels have been installed globally equating to an 80 billion dollar annual market....

491

APRIL 2011 NNSA News Viewable.pmd  

National Nuclear Security Administration (NNSA)

amount of CO2 that is emitted from four 1-gigawatt power plants every year. At Los Alamos National Laboratory, a new virtualized data center was created to improve information...

492

The Political Economy of Wind Power in China  

E-Print Network (OSTI)

woes hamper China wind farms push for profitability. ?18.9 gigawatts (GW) of new wind farms and overtook the US togrid companies to connect wind farms to the grid. The policy

Swanson, Ryan Landon

2011-01-01T23:59:59.000Z

493

Greenhouse Warming and Efficient Climate Protection Policy, with discussion of Regulation by Price or by Quantity  

E-Print Network (OSTI)

are a domestic coal-fired plant costing $800 per kilowatt,gigawatt plant nuclear or renewable rather than coal-fired.plant in China nuclear/renewable rather than coal fired, all

Lydon, Peter

2002-01-01T23:59:59.000Z

494

NETL: News Release - Department of Energy Tracks Resurgence of...  

NLE Websites -- All DOE Office Websites (Extended Search)

August 2, 2006 Department of Energy Tracks Resurgence of Coal-Fired Power Plants Updated Database Shows 153 New Plants, 93 Gigawatts of Capacity Proposed by 2025 WASHINGTON, DC- As...

495

NETL: News Release - Department of Energy Tracks Resurgence of...  

NLE Websites -- All DOE Office Websites (Extended Search)

October 31, 2005 Department of Energy Tracks Resurgence of Coal-Fired Power Plants Updated Database Shows 129 New Plants, 77 Gigawatts of Capacity Proposed by 2025 WASHINGTON, D.C....

496

Chapter 8: RD&D 159 Chapter 8: Analysis,Research,Development  

E-Print Network (OSTI)

gigawatts (GW) of wind capacity and requires 72 GW of additional natural gas power plant capacity-thirds of the fuel consumed by conventional natural gas power plants is used to power the air compressors to create

Reuter, Martin

497

How old are U.S. power plants? - FAQ - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

How old are U.S. power plants? About 540 gigawatts, nearly 51% of all generating capacity, were at least 30 years old at the end of 2012. Most ...

498

Design and evaluation of seasonal storage hydrogen peak electricity supply system  

E-Print Network (OSTI)

The seasonal storage hydrogen peak electricity supply system (SSHPESS) is a gigawatt-year hydrogen storage system which stores excess electricity produced as hydrogen during off-peak periods and consumes the stored hydrogen ...

Oloyede, Isaiah Olanrewaju

2011-01-01T23:59:59.000Z

499

U.S. Energy Information Administration (EIA) - Source  

Gasoline and Diesel Fuel Update (EIA)

market trends icon Nuclear market trends icon Nuclear Mkt trends Market Trends In the AEO2011 Reference case, nuclear power capacity increases from 101.0 gigawatts in 2009 to 110.5 gigawatts in 2035 (Figure 82), including 3.8 gigawatts of expansion at existing plants and 6.3 gigawatts of new capacity. The new capacity includes completion of a second unit at the Watts Bar site, where construction on a partially completed plant has resumed. Increases in the estimated costs for new nuclear plants make new investments in nuclear power uncertain. Four new nuclear power plants are completed in the Reference case, all of which are brought on line by 2020 to take advantage of Federal financial incentives. High construction costs for nuclear plants, especially relative to natural-gas-fired plants, make

500

U.S. State Wind Resource Potential | OpenEI  

Open Energy Info (EERE)

State Wind Resource Potential State Wind Resource Potential Dataset Summary Description Estimates for each of the 50 states and the entire United States showing the windy land area with a gross capacity factor (without losses) of 30% and greater at 80-m height above ground and the wind energy potential from development of the "available" windy land area after exclusions. The "Installed Capacity" shows the potential megawatts (MW) of rated capacity that could be installed on the available windy land area, and the "Annual Generation" shows annual wind energy generation in gigawatt-hours (GWh) that could be produced from the installed capacity. AWS Truewind, LLC developed the wind resource data for windNavigator® with a spatial resolution of 200 m. NREL produced the estimates of windy land area and windy energy potential, including filtering the estimates to exclude areas unlikely to be developed such as wilderness areas, parks, urban areas, and water features (see the "Wind Resource Exclusion Table" sheet within the Excel file for more detail).