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Note: This page contains sample records for the topic "dni gef ghi" 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

DNI GHI | OpenEI  

Open Energy Info (EERE)

DNI GHI DNI GHI 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 Source Richard Perez Date Released June 30th, 2004 (10 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords DNI GHI hourly data Nicaragua solar SUNY SWERA TILT UNEP Data application/zip icon Download Data (zip, 3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 01/01/1998 - 12/31/2002 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote

2

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

3

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

4

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

5

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

6

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

7

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

8

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

9

GHI | OpenEI  

Open Energy Info (EERE)

GHI GHI Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA TILT Turkey

10

DNI | OpenEI  

Open Energy Info (EERE)

DNI DNI Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA TILT Turkey

11

GEF | OpenEI  

Open Energy Info (EERE)

GEF GEF Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. Source NREL Date Released April 12th, 2005 (9 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords China GEF GHI GIS NREL solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 629.4 KiB) text/csv icon Download Data (csv, 779.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 01/01/1985 - 12/31/1991 License License Open Data Commons Public Domain Dedication and Licence (PDDL)

12

NREL GEF | OpenEI  

Open Energy Info (EERE)

GEF GEF Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. Source NREL Date Released July 31st, 2006 (8 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords atmospheric water vapor Carribean Islands Central America DNI GIS Mexico NREL GEF solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 247.8 KiB) text/csv icon Download Data (csv, 370.6 KiB) Quality Metrics Level of Review Some Review

13

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

14

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

15

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

16

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

17

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.

18

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

19

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.

20

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

Note: This page contains sample records for the topic "dni gef ghi" 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

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

22

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

23

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.

24

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

25

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.

26

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

27

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.

28

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Ethiopia from DLR Ethiopia from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Ethiopia for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 Ethiopia GEF GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 2.8 MiB) text/csv icon Download Data (csv, 5.6 MiB)

29

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Nepal for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GEF GHI GIS Nepal solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 593.8 KiB) text/csv icon Download Data (csv, 1.2 MiB)

30

Solar: monthly global horizontal (GHI) GIS data at 10km resolution for  

Open Energy Info (EERE)

Bangladesh from DLR Bangladesh from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Bangladesh for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GEF GHI GIS solar SWERA UNEP Data text/csv icon Download Data (csv, 916.5 KiB) application/zip icon Download Shapefile (zip, 479.3 KiB)

31

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Kenya for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GEF GHI GIS Kenya NREL solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 1.3 MiB) text/csv icon Download Data (csv, 2.5 MiB)

32

Solar: monthly direct normal (DNI) GIS data at 10km resolution for  

Open Energy Info (EERE)

for for Bangladesh from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Bangladesh for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Bangladesh DLR DNI GEF solar SWERA UNEP Data text/csv icon Download Data (csv, 915.2 KiB) application/zip icon Download Shapefile (zip, 488 KiB)

33

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Kenya for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GIS Kenya solar SWERA UNEP Data text/csv icon Download Data (csv, 2.5 MiB) application/zip icon Download Shapefile (zip, 1.3 MiB)

34

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

China from DLR China from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for China for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 CRED CREIA DLR DNI GEF GIS solar SWERA UNEP Data text/csv icon Download Data (csv, 8.8 MiB) application/zip icon Download Shapefile (zip, 4.4 MiB)

35

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Sri Lanka from DLR Sri Lanka from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Sri Lanka for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GIS solar Sri Lanka SWERA UNEP Data application/zip icon Download Shapefile (zip, 155.1 KiB) text/csv icon Download Data (csv, 295.7 KiB)

36

Kenya-GEF Projects | Open Energy Information  

Open Energy Info (EERE)

GEF Projects GEF Projects Jump to: navigation, search Name Kenya-GEF Projects Agency/Company /Organization Global Environment Facility Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy, Forestry, Agriculture Topics Background analysis Country Kenya Eastern Africa References GEF Project database[1] GEF Climate Projects in Kenya 1780 Kenya Joint Geophysical Imaging (JGI) Methodology for Geothermal Reservoir Assessment Climate Change UNEP Medium Size Project, GEF Grant-979,059.000, Co-financing total-1,754,264.0 IA Approved 2870 Kenya Market Transformation for Efficient Biomass Stoves for Institutions and Small and Medium-Scale Enterprises Climate Change UNDP Medium Size Project GEF Grant-975,000.000 Co-financing total-5,646,467.0 IA Approved 3249 Kenya Adaptation to Climate Change in Arid Lands (KACCAL)

37

Global Environment Fund GEF | Open Energy Information  

Open Energy Info (EERE)

Environment Fund GEF Environment Fund GEF Jump to: navigation, search Name Global Environment Fund (GEF) Place Chevy Chase, Maryland Zip 20815 Product International investment management firm with around USD 800m under management. Invests in companies that make positive contributions to environmental quality, human health and sustainable management of resources. References Global Environment Fund (GEF)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Global Environment Fund (GEF) is a company located in Chevy Chase, Maryland . References ↑ "Global Environment Fund (GEF)" Retrieved from "http://en.openei.org/w/index.php?title=Global_Environment_Fund_GEF&oldid=345910"

38

GEF-Knowledge Management Initiative | Open Energy Information  

Open Energy Info (EERE)

Knowledge Management Initiative Knowledge Management Initiative Jump to: navigation, search Name GEF Knowledge Management Initiative: Strategic Framework and Work-Plan for GEF-5 Agency/Company /Organization Global Environment Facility (GEF) Resource Type Dataset, Lessons learned/best practices Website http://www.thegef.org/gef/site Program Start 2010 References GEF Knowledge Management[1] GEF Knowledge Management Initiative: Strategic Framework and Work-Plan for GEF-5 Screenshot " In December 2010, the Secretariat launched the KMI with the goal of ensuring that GEF knowledge, information and data are identified, captured, and shared in their entirety and developed as a strategic asset in a coherent and comprehensive manner." References ↑ "GEF Knowledge Management"

39

Solar: annual and seasonal average global horizontal (GHI) GIS data  

Open Energy Info (EERE)

global horizontal (GHI) GIS data global horizontal (GHI) GIS data (contours) for Brazil from INPE and LABSOLAR Dataset Summary Description (Abstract): Annual and seasonal mean of Global Horizontal Solar Radiation in kWh/m2/day based on data from 1995 to 2002 (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders (Supplemental Information): The cross-calibration process worked with data from 3 ground stations: Caicó (located in the Northeast of Brazil), Florianópolis (located in the South) and Balbina (located in Amazonia). These data have been used for validation and comparison of radiation transfer models operated in SWERA to estimate the incidence of solar radiation on the surface of the country from satellite images

40

GEF. latitude tilt | OpenEI  

Open Energy Info (EERE)

GEF. latitude tilt GEF. latitude tilt Dataset Summary Description (Abstract): Latitude tilted solar radiation in kWh/m2/day for 1 year organized into cells with 40km x 40km (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders Source INPE (National Institute for Spatial Research) and LABSOLAR (Laboratory of Solar Energy/Federal University of Santa Catarina) - Brazil Date Released August 08th, 2009 (5 years ago) Date Updated August 08th, 2009 (5 years ago) Keywords Brazil GEF. latitude tilt INPE LABSOLAR solar SWERA TILT UNEP Data application/zip icon Download Shapefile (zip, 706.1 KiB) text/csv icon Download Data (csv, 999.1 KiB) Quality Metrics Level of Review Some Review

Note: This page contains sample records for the topic "dni gef ghi" 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

UNEP-GEF Renewable Energy Project Financial Risk Management in...  

Open Energy Info (EERE)

Developing Countries Jump to: navigation, search Name UNEP-GEF Renewable Energy Project Financial Risk Management in Developing Countries AgencyCompany Organization United...

42

UNDP/GEF-Cambodia-Sustainable Forest Management | Open Energy Information  

Open Energy Info (EERE)

UNDP/GEF-Cambodia-Sustainable Forest Management UNDP/GEF-Cambodia-Sustainable Forest Management Jump to: navigation, search Logo: UNDP/GEF-Cambodia-Sustainable Forest Management Name UNDP/GEF-Cambodia-Sustainable Forest Management Agency/Company /Organization United Nations Development Programme, Global Environment Facility Sector Land Focus Area Forestry Website http://www.un.org.kh/undp/pres Program Start 2011 Country Cambodia UN Region South-Eastern Asia References UNDP Cambodia: Environment and Energy [1] UNDP/GEF-Cambodia-Sustainable Forest Management Screenshot "UNDP and Global Environment Facility on Monday launched a new project worth over US$3.8 million to help Cambodia preserve its forests to benefit the rural poor as well as to contribute to reducing emission of green house gases into atmosphere.

43

GEF-Colombia-Geothermal Energy Grant | Open Energy Information  

Open Energy Info (EERE)

Colombia-Geothermal Energy Grant Colombia-Geothermal Energy Grant Jump to: navigation, search Name GEF-Colombia-Geothermal Energy Grant Agency/Company /Organization Global Environment Facility (GEF), Inter-American Development Bank (IDB) Sector Energy Focus Area Geothermal Topics Finance, Implementation, Background analysis Website http://www.iadb.org/en/news/ne Program Start 2011 Country Colombia UN Region South America References Colombia promotes geothermal energy with IDB support[1] GEF-Colombia-Geothermal Energy Grant Screenshot "Colombia will promote investment in non-conventional renewable energy sources and lay the groundwork for its first geothermal project with a $2.7 million grant from the Global Environment Facility (GEF) administered by the Inter-American Development Bank (IDB). "

44

Microsoft Word - Ghana_10km_solar_country_report.doc  

Open Energy Info (EERE)

Assessment (SWERA) Assessment (SWERA) High Resolution Solar Radiation Assessment for Ghana Final country report prepared by Christoph Schillings 1 Richard Meyer 2 Franz Trieb 1 1 Deutsches Zentrum für Luft- und Raumfahrt, DLR-Stuttgart, Institut für Technische Thermodynamik, Pfaffenwaldring 38-40, D-70569 Stuttgart, Germany 2 Deutsches Zentrum für Luft- und Raumfahrt, DLR-Oberpfaffenhofen, Institut für Physik der Atmosphäre, D-82234 Weßling, Germany submitted to UNEP / GEF October 2004 Content 1. Method description (satellite data, GHI-method, DNI-method) 2. Model output (GHI, DNI) 3. Comparison with ground measurements (if available) 4. References Notice This report was prepared as an account of work within the SWERA project funded by GEF / UNEP.

45

Microsoft Word - China_10km_solar_documentation.doc  

Open Energy Info (EERE)

China China Final Report for a Country Assessment prepared by Christoph Schillings 1 Richard Meyer 2 Franz Trieb 1 1 Deutsches Zentrum für Luft- und Raumfahrt, DLR-Stuttgart Institut für Technische Thermodynamik, Pfaffenwaldring 38-40, D-70569 Stuttgart, Germany 2 Deutsches Zentrum für Luft- und Raumfahrt, DLR-Oberpfaffenhofen Institut für Physik der Atmosphäre, D-82234 Weßling, Germany submitted to UNEP / GEF October 2004 Content 1. Method description (satellite data, GHI-method, DNI-method) 2. Model output (GHI, DNI) 3. Comparison with ground measurements (if available) 4. References Notice This report was prepared for the SWERA project funded by GEF / UNEP. The results presented here were produced by state-of-the-art methods with best-known data. The DLR (Deutsches Zentrum für

46

Microsoft Word - Ethiopia_10km_solar_country_report.doc  

Open Energy Info (EERE)

Ethiopia Ethiopia Final country report prepared by Christoph Schillings 1 Richard Meyer 2 Franz Trieb 1 1 Deutsches Zentrum für Luft- und Raumfahrt, DLR-Stuttgart, Institut für Technische Thermodynamik, Pfaffenwaldring 38-40, D-70569 Stuttgart, Germany 2 Deutsches Zentrum für Luft- und Raumfahrt, DLR-Oberpfaffenhofen, Institut für Physik der Atmosphäre, D-82234 Weßling, Germany submitted to UNEP / GEF October 2004 Content 1. Method description (satellite data, GHI-method, DNI-method) 2. Model output (GHI, DNI) 3. Comparison with ground measurements (if available) 4. References Notice This report was prepared as an account of work within the SWERA project funded by GEF / UNEP. The results presented here were produced by state-of-the-art methods with best-known data. The

47

Microsoft Word - Nepal_10km_solar_country_report.doc  

Open Energy Info (EERE)

Nepal Nepal Final country report prepared by Christoph Schillings 1 Richard Meyer 2 Franz Trieb 1 1 Deutsches Zentrum für Luft- und Raumfahrt, DLR-Stuttgart, Institut für Technische Thermodynamik, Pfaffenwaldring 38-40, D-70569 Stuttgart, Germany 2 Deutsches Zentrum für Luft- und Raumfahrt, DLR-Oberpfaffenhofen, Institut für Physik der Atmosphäre, D-82234 Weßling, Germany submitted to UNEP / GEF October 2004 Content 1. Method description (satellite data, GHI-method, DNI-method) 2. Model output (GHI, DNI) 3. Comparison with ground measurements (if available) 4. References Notice This report was prepared as an account of work within the SWERA project funded by GEF / UNEP. The results presented here were produced by state-of-the-art methods with best-known data. The

48

Microsoft Word - Kenya_10km_solar_country_report.doc  

Open Energy Info (EERE)

Kenya Kenya Final country report prepared by Christoph Schillings 1 Richard Meyer 2 Franz Trieb 1 1 Deutsches Zentrum für Luft- und Raumfahrt, DLR-Stuttgart, Institut für Technische Thermodynamik, Pfaffenwaldring 38-40, D-70569 Stuttgart, Germany 2 Deutsches Zentrum für Luft- und Raumfahrt, DLR-Oberpfaffenhofen, Institut für Physik der Atmosphäre, D-82234 Weßling, Germany submitted to UNEP / GEF October 2004 Content 1. Method description (satellite data, GHI-method, DNI-method) 2. Model output (GHI, DNI) 3. Comparison with ground measurements (if available) 4. References Notice This report was prepared as an account of work within the SWERA project funded by GEF / UNEP. The results presented here were produced by state-of-the-art methods with best-known data. The

49

Microsoft Word - Sri_Lanka_10km_solar_country_report.doc  

Open Energy Info (EERE)

Lanka Lanka Final country report prepared by Christoph Schillings 1 Richard Meyer 2 Franz Trieb 1 1 Deutsches Zentrum für Luft- und Raumfahrt, DLR-Stuttgart, Institut für Technische Thermodynamik, Pfaffenwaldring 38-40, D-70569 Stuttgart, Germany 2 Deutsches Zentrum für Luft- und Raumfahrt, DLR-Oberpfaffenhofen, Institut für Physik der Atmosphäre, D-82234 Weßling, Germany submitted to UNEP / GEF October 2004 Content 1. Method description (satellite data, DNI-method, GHI-method) 2. Model output (GHI, DNI) 3. Comparison with ground measurements (if available) 4. References Notice This report was prepared as an account of work within the SWERA project funded by GEF / UNEP. The results presented here were produced by state-of-the-art methods with best-known data. The

50

File:NREL-bhutan-10kmsolar-ghi.pdf | Open Energy Information  

Open Energy Info (EERE)

ghi.pdf ghi.pdf Jump to: navigation, search File File history File usage Bhutan - Annual Global Horizontal Solar Radiation Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 306 KB, MIME type: application/pdf) Title Bhutan - Annual Global Horizontal Solar Radiation Description Bhutan - Annual Global Horizontal Solar Radiation Sources National Renewable Energy Laboratory Authors Donna Heimiller Related Technologies Solar, Solar-GHI, Solar-10km Creation Date 2008-12-08 Extent International Countries Bhutan UN Region Southern Asia File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:51, 14 December 2010 Thumbnail for version as of 15:51, 14 December 2010 1,650 × 1,275 (306 KB) MapBot (Talk | contribs) Automated upload from NREL's "mapsearch" data

51

Wedge test data for three new explosives: LAX112, 2,4-DNI, and TNAZ  

SciTech Connect

High pressure Pop-plots and inert Hugoniot curves have been measured for three new explosives: LAX112 (3,6-diamino-1,2,4,5-tetrazine-1,4-dioxide), 2,4-DNI (2,4-dinitroimidazole), and TNAZ (1,3,3-trinitroazetidine). LAX112 and 2,4-DNI are of interest because of their insensitivity, while TNAZ is useful for its performance and castability. The shock sensitivity of LAX112 and 2,4-DNI fall between that of pressed TNT and PBX9502, LAX112 being the less sensitive. The shock sensitivity of TNAZ falls between that of pressed PETN and PBX9501. The inert Hugoniots for all three materials are comparable to those of other explosives. {copyright} {ital 1996 American Institute of Physics.}

Hill, L.G.; Seitz, W.L.; Kramer, J.F.; Murk, D.M.; Medina, R.S. [Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States)

1996-05-01T23:59:59.000Z

52

Wedge test data for three new explosives: LAX112, 2,4-DNI, and TNAZ  

SciTech Connect

High pressure Pop-plots and inert Hugoniot curves have been measured for three new explosives: LAX112 (3,6-diamino-1,2,4,5-tetrazine-1,4-dioxide), 2,4-DNI (2,4-dinitroimidazole), and TNAZ (1,3,3-trinitroazetidine). LAX112 and 2,4-DNI are of interest because of their insensitivity, while TNAZ is useful for its performance and castability. The shock sensitivity of LAX112 and 2,4-DNI fall between that of pressed TNT and PBX9502, LAX112 being the less sensitive. The shock sensitivity of TNAZ falls between that of pressed PETN and PBX9501. The Pop-plot and Hugoniot data for TNAZ matches well with the lower pressure gas-gun data of Sheffield, Gustavsen, and Alcon. The inert Hugoniots for all three materials are comparable to those of other explosives.

Hill, L.G.; Seitz, W.L.; Kramer, J.F.; Murk, D.M.; Medina, R.S.

1995-09-01T23:59:59.000Z

53

UNDP-GEF Fuel Cell Bus Programme: Update | Open Energy Information  

Open Energy Info (EERE)

UNDP-GEF Fuel Cell Bus Programme: Update UNDP-GEF Fuel Cell Bus Programme: Update Jump to: navigation, search Tool Summary Name: UNDP-GEF Fuel Cell Bus Programme: Update Agency/Company /Organization: United Nations Development Programme, Global Environment Facility Focus Area: Fuels & Efficiency Topics: Best Practices Website: www.thegef.org/gef/sites/thegef.org/files/documents/GEF.C.28.Inf_.12.p The Global Environment Facility (GEF) and the United Nations Development Programme launched a fuel cell bus deployment program to support commercial demonstrations of buses and fueling infrastructure in large bus markets in developing countries. The program's objective was to reduce the long-term greenhouse gas emissions from the transport sector in GEF program countries. How to Use This Tool This tool is most helpful when using these strategies:

54

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

West China from DLR West China from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for China for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 CRED CREIA DLR GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 4.4 MiB) text/csv icon Download Data (csv, 8.9 MiB)

55

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Ghana for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 Ghana GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 504 KiB) text/csv icon Download Data (csv, 1 MiB)

56

Solar: monthly and annual average global horizontal (GHI) GIS data at 10km  

Open Energy Info (EERE)

Sri Lanka from DLR Sri Lanka from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Sri Lanka for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GHI GIS solar Sri Lanka SWERA UNEP Data text/csv icon Download Data (csv, 296.1 KiB) application/zip icon Download Shapefile (zip, 153.7 KiB)

57

File:NREL-bhutan-10kmsolar-dni.pdf | Open Energy Information  

Open Energy Info (EERE)

bhutan-10kmsolar-dni.pdf bhutan-10kmsolar-dni.pdf Jump to: navigation, search File File history File usage Bhutan - Annual Direct Normal Solar Radiation Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 307 KB, MIME type: application/pdf) Title Bhutan - Annual Direct Normal Solar Radiation Description Bhutan - Annual Direct Normal Solar Radiation Sources National Renewable Energy Laboratory Authors Donna Heimiller Related Technologies Solar, Solar-CSP, Solar-10km Creation Date 2008-12-08 Extent International Countries Bhutan UN Region Southern Asia File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:50, 14 December 2010 Thumbnail for version as of 15:50, 14 December 2010 1,650 × 1,275 (307 KB) MapBot (Talk | contribs) Automated upload from NREL's "mapsearch" data

58

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Ghana for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 solar SWERA UNEP Data text/csv icon Download Data (csv, 1 MiB) application/zip icon Download Shapefile (zip, 519.6 KiB)

59

Solar: annual and seasonal average direct normal (DNI) GIS data (contours)  

Open Energy Info (EERE)

direct normal (DNI) GIS data (contours) direct normal (DNI) GIS data (contours) for Brazil from INPE and LABSOLAR Dataset Summary Description (Abstract): Annual and seasonal mean of Direct Normal Solar Radiation in kWh/m2/day based on data from 1995 to 2002 (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders (Supplemental Information): The cross-calibration process worked with data from 3 ground stations: Caicó (located in the Northeast of Brazil), Florianópolis (located in the South) and Balbina (located in Amazonia). These data have been used for validation and comparison of radiation transfer models operated in SWERA to estimate the incidence of solar radiation on the surface of the country from satellite images obtained from 1995 to 2002

60

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Nepal for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GIS Nepal solar SWERA UNEP Data text/csv icon Download Data (csv, 1.2 MiB) application/zip icon Download Shapefile (zip, 600.4 KiB)

Note: This page contains sample records for the topic "dni gef ghi" 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

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

601 601 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142256601 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 10km resolution for Ethiopia from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Ethiopia for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country.

62

CRED | OpenEI  

Open Energy Info (EERE)

CRED CRED Dataset Summary Description (Abstract): Documentation of the satellite-based high resolution solar resource assessment for China provided by DLR. The high resolution solar data (10kmx10km) provide country maps of the annual and monthly sums of hourly global horizontal and direct normal irradiance (GHI and DNI) for the year 2000, 2002 and 2003. Additionally, for selected sites hourly values of GHI and DNI are provided. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 08th, 2004 (10 years ago) Keywords China CRED CREIA DLR documentation GEF solar SWERA UNEP Data application/pdf icon Download Report (pdf, 6.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

63

CREIA | OpenEI  

Open Energy Info (EERE)

CREIA CREIA Dataset Summary Description (Abstract): Documentation of the satellite-based high resolution solar resource assessment for China provided by DLR. The high resolution solar data (10kmx10km) provide country maps of the annual and monthly sums of hourly global horizontal and direct normal irradiance (GHI and DNI) for the year 2000, 2002 and 2003. Additionally, for selected sites hourly values of GHI and DNI are provided. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 08th, 2004 (10 years ago) Keywords China CRED CREIA DLR documentation GEF solar SWERA UNEP Data application/pdf icon Download Report (pdf, 6.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

64

Solar: annual average global horizontal (GHI) GIS data at 10km resolution  

Open Energy Info (EERE)

global horizontal (GHI) GIS data at 10km resolution global horizontal (GHI) GIS data at 10km resolution for Cuba from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate solar collectors for Cuba (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a horizontal flat-plate solar collector, such as a Photovoltaic (PV) solar panel. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model. This model uses information on hourly satellite observed visible irradiance, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total of the normal or beam insolation falling on a tracking concentrator pointed

65

Solar: annual average direct normal (DNI) map at 40km resolution for  

Open Energy Info (EERE)

map at 40km resolution for map at 40km resolution for Central America from NREL Dataset Summary Description (Abstract): A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, aerosol optical depth, precipitable water vapor, albedo, atmospheric pressure and ozone sampled at a 40km resolution. (Purpose): A visual depiction of solar energy resource for concentrating solar power systems. Source NREL Date Released December 11th, 2003 (11 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Central America direct normal DNI map NREL solar SWERA UNEP Data application/pdf icon Download Map (pdf, 67.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency

66

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

22 22 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 40km resolution for Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is

67

UNEP-GEF Renewable Energy Project Financial Risk Management in Developing  

Open Energy Info (EERE)

UNEP-GEF Renewable Energy Project Financial Risk Management in Developing UNEP-GEF Renewable Energy Project Financial Risk Management in Developing Countries Jump to: navigation, search Name UNEP-GEF Renewable Energy Project Financial Risk Management in Developing Countries Agency/Company /Organization United Nations Environment Programme Partner Global Environment Facility Sector Energy Focus Area Renewable Energy Topics Finance, Market analysis Website http://www.unep.fr/energy/acti References UNEP Financial Risk Management [1] "This UNEP/GEF targeted research project aims to catalyse new thinking in the risk management area, examining existing instruments and approaches and suggesting potential modalities for new instruments that could be developed in partnership with private and public sector financial institutions. The

68

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

49031 49031 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 40km resolution for China from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to

69

UNDP-Peru GEF Nationally Appropriate Mitigation Actions in the Energy  

Open Energy Info (EERE)

GEF Nationally Appropriate Mitigation Actions in the Energy GEF Nationally Appropriate Mitigation Actions in the Energy Generation and End-Use Sectors Jump to: navigation, search Name UNDP-Peru GEF Nationally Appropriate Mitigation Actions in the Energy Generation and End-Use Sectors Agency/Company /Organization United Nations Development Programme (UNDP) Sector Climate Focus Area People and Policy Topics Low emission development planning, -LEDS Country Peru South America References UNDP - Latin America & the Caribbean[1] Contents 1 Program Overview 1.1 Program Focus 1.2 Environment and Sustainable Development 2 References Program Overview "Across Latin America and the Caribbean, UNDP helps countries build and share their own solutions to urgent development challenges, supporting coalitions for change and connecting individuals and institutions so they

70

Radiative Heat Transfer Analysis of Fibrous Insulation Materials Using the ZonalGEF Method  

E-Print Network (OSTI)

Radiative Heat Transfer Analysis of Fibrous Insulation Materials Using the Zonal­GEF Method Walter to analyze radiative heat transfer in high porosity insulation materials which have a large scattering for LI900, a material used in the insulation tile for the space shuttle. Comparisons are presented

Yuen, Walter W.

71

The GEF1 Proton-Chloride Exchanger Affects Tombusvirus Replication via Regulation of Copper Metabolism in Yeast  

Science Journals Connector (OSTI)

...In vitro TBSV replication assay based on CFE. Yeast cell-free extracts (CFEs) from...TBSV replication (60). We found that CFE prepared from gef1delta yeast supported...replication by 4-fold less efficiently than CFE from WT yeast (Fig. 5B, lanes 11 and...

Zsuzsanna Sasvari; Nikolay Kovalev; Peter D. Nagy

2012-11-28T23:59:59.000Z

72

Asia | OpenEI  

Open Energy Info (EERE)

10 10 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142281010 Varnish cache server Asia Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. Source NREL Date Released July 31st, 2006 (8 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Asia DNI GEF GHI insolation NREL solar SWERA TILT UNEP Data application/zip icon Download Shapefile and Cell Regions (zip, 20.2 MiB) text/csv icon Download Data (csv, 960.7 KiB)

73

direct normal irradiance | OpenEI  

Open Energy Info (EERE)

normal irradiance normal irradiance Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. Source NREL Date Released July 31st, 2006 (8 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords direct normal irradiance DNI GEF GHI GIS global horizontal irradiance insolation latitutde tilt irradiance NASA NREL South America SWERA TILT UNEP Data application/zip icon Download Shapefile and Cell Maps (zip, 13.9 MiB) text/csv icon Download Data (csv, 3.5 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

74

Africa | OpenEI  

Open Energy Info (EERE)

Africa Africa Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. Source U.S. National Renewable Energy Laboratory (NREL) Date Released July 31st, 2011 (3 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Africa direct normal irradiance DNI GEF GHI GIS global horizontal irradiance latitutde tilt irradiance NASA NREL solar SWERA TILT UNEP Data application/zip icon Download Shapefile and Images (zip, 19.3 MiB) text/csv icon Download Data (csv, 3.4 MiB) Quality Metrics Level of Review Some Review

75

insolation | OpenEI  

Open Energy Info (EERE)

2 2 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278432 Varnish cache server insolation Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. Source NREL Date Released July 31st, 2006 (8 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Asia DNI GEF GHI insolation NREL solar SWERA TILT UNEP Data application/zip icon Download Shapefile and Cell Regions (zip, 20.2 MiB) text/csv icon Download Data (csv, 960.7 KiB)

76

Transforming on-grid renewable energy markets. A review of UNDP-GEF support for feed-in tariffs and related price and market-access instruments  

SciTech Connect

As a Global Environment Facility (GEF) founding implementing agency, UNDP has worked on over 230 GEF-supported clean energy projects in close to 100 developing countries since 1992. About 100 of these projects in 80 countries have focused on renewable energy, supported by approximately US $ 293 million in GEF funds and leveraging US $1.48 billion in associated co-financing from national governments, international organizations, the private sector and non-governmental organizations. As part of UNDP efforts to codify and share lessons learnt from these initiatives, this report addresses how scarce public resources can be used to catalyze larger private financial flows for renewable energy. It provides an overview of UNDP-GEFs extensive work supporting development of national renewable energy policies such as feed-in tariffs. In these activities UNDP-GEF assists developing countries to assess key risks and barriers to technology diffusion and then to identify a mix of policy and financial de-risking measures to remove these barriers and drive investment. This approach is illustrated through three case studies in Uruguay, Mauritius and Kazakhstan. This report is complemented by a companion publication presenting an innovative UNDP financial modeling tool to assist policymakers in appraising different public instruments to promote clean energy.

Glemarec, Yannick; Rickerson, Wilson; Waissbein, Oliver

2012-11-15T23:59:59.000Z

77

Activated RhoA Binds to the Pleckstrin Homology (PH) Domain of PDZ-RhoGEF, a Potential Site for Autoregulation  

SciTech Connect

Guanine nucleotide exchange factors (GEFs) catalyze exchange of GDP for GTP by stabilizing the nucleotide-free state of the small GTPases through their Dbl homology/pleckstrin homology (DH {center_dot} PH) domains. Unconventionally, PDZ-RhoGEF (PRG), a member of the RGS-RhoGEFs, binds tightly to both nucleotide-free and activated RhoA (RhoA {center_dot} GTP). We have characterized the interaction between PRG and activated RhoA and determined the structure of the PRG-DH {center_dot} PH-RhoA {center_dot} GTP{gamma}S (guanosine 5{prime}-O-[{gamma}-thio]triphosphate) complex. The interface bears striking similarity to a GTPase-effector interface and involves the switch regions in RhoA and a hydrophobic patch in PRG-PH that is conserved among all Lbc RhoGEFs. The two surfaces that bind activated and nucleotide-free RhoA on PRG-DH {center_dot} PH do not overlap, and a ternary complex of PRG-DH {center_dot} PH bound to both forms of RhoA can be isolated by size-exclusion chromatography. This novel interaction between activated RhoA and PH could play a key role in regulation of RhoGEF activity in vivo.

Chen, Zhe; Medina, Frank; Liu, Mu-ya; Thomas, Celestine; Sprang, Stephen R.; Sternweis, Paul C. (UTSMC); (Montana)

2010-07-19T23:59:59.000Z

78

Using direct normal irradiance models and utility electrical loading to assess benefit of a concentrating solar power plant  

Science Journals Connector (OSTI)

The objective of this paper was to determine if three different direct normal irradiance (DNI) models were sufficiently accurate to determine if concentrating solar power (CSP) plants could meet the utility electrical load. DNI data were measured at three different laboratories in the United States and compared with DNI calculated by three DNI models. In addition, utility electrical loading data were obtained for all three locations. The DNI models evaluated were: the Direct Insolation Simulation Code (DISC), DIRINT, and DIRINDEX. On an annual solar insolation (e.g. kWh/m2) basis, the accuracy of the DNI models at all three locations was within: 7% (DISC), 5% (DIRINT), and 3% (DIRINDEX). During the three highest electrical loading months at the three locations, the monthly accuracy varied from: 0% to 16% (DISC), 0% to 9% (DIRINT), and 0% to 8% (DIRINDEX). At one location different pyranometers were used to measure GHI, and the most expensive pyranometers did not improve the DNI model monthly accuracy. In lieu of actually measuring DNI, using the DIRINT model was felt to be sufficient for assessing whether to build a CSP plant at one location, but use of either the DIRINT or DIRINDEX models was felt to be marginal for the other two locations due to errors in modeling DNI for utility peak electrical loading days especially for partly cloudy days.

Brian D. Vick; Daryl R. Myers; William E. Boyson

2012-01-01T23:59:59.000Z

79

MUTESHIFTSPEAKERINTERCOM 6MNO5JKL4GHI  

E-Print Network (OSTI)

and registration activities. CERTIFICATION Comdial's Quality Management System Is Certified To The ISO 9001

80

Documentation of high resolution solar resource assessment for Sri Lanka  

Open Energy Info (EERE)

Sri Lanka Sri Lanka provided by DLR Dataset Summary Description (Abstract): Documentation of the satellite-based high resolution solar resource assessment for Sri Lanka provided by DLR. The high resolution solar data (10kmx10km) provide country maps of the annual and monthly sums of hourly global horizontal and direct normal irradiance (GHI and DNI) for the year 2000, 2002 and 2003. Additionally, for selected sites hourly values of GHI and DNI are provided.The Documentation gives an overview about the used input data and used methodology, shows example maps and describes a comparison with ground data (if provided by the country) (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems.

Note: This page contains sample records for the topic "dni gef ghi" 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

Documentation of high resolution solar resource assessment (10km) for Kenya  

Open Energy Info (EERE)

Kenya Kenya provided by DLR Dataset Summary Description (Abstract): Documentation of the satellite-based high resolution solar resource assessment for Kenya provided by DLR. The high resolution solar data (10kmx10km) provide country maps of the annual and monthly sums of hourly global horizontal and direct normal irradiance (GHI and DNI) for the year 2000, 2001 and 2002. Additionally, for selected sites hourly values of GHI and DNI are provided.The Documentation gives an overview about the used input data and used methodology, shows example maps and describes a comparison with ground data (if provided by the country) (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems.

82

Documentation of high resolution solar resource assessment (10km) for Nepal  

Open Energy Info (EERE)

Nepal Nepal provided by DLR Dataset Summary Description (Abstract): Documentation of the satellite-based high resolution solar resource assessment for Nepal provided by DLR. The high resolution solar data (10kmx10km) provide country maps of the annual and monthly sums of hourly global horizontal and direct normal irradiance (GHI and DNI) for the year 2000, 2002 and 2003. Additionally, for selected sites hourly values of GHI and DNI are provided.The Documentation gives an overview about the used input data and used methodology, shows example maps and describes a comparison with ground data (if provided by the country) (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems.

83

Documentation of high resolution solar resource assessment (10km) for  

Open Energy Info (EERE)

for for Ethiopia provided by DLR Dataset Summary Description (Abstract): Documentation of the satellite-based high resolution solar resource assessment for Ethiopia provided by DLR. The high resolution solar data (10kmx10km) provide country maps of the annual and monthly sums of hourly global horizontal and direct normal irradiance (GHI and DNI) for the year 2000, 2001 and 2002. Additionally, for selected sites hourly values of GHI and DNI are provided.The Documentation gives an overview about the used input data and used methodology, shows example maps and describes a comparison with ground data (if provided by the country) (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. For the selected

84

global horizontal | OpenEI  

Open Energy Info (EERE)

87 87 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278787 Varnish cache server global horizontal Dataset Summary Description (Abstract): Documentation of the satellite-based high resolution solar resource assessment for Ghana provided by DLR. The high resolution solar data (10kmx10km) provide country maps of the annual and monthly sums of hourly global horizontal and direct normal irradiance (GHI and DNI) for the year 2000, 2001 and 2002. Additionally, for selected sites hourly values of GHI and DNI are provided.The Documentation gives an overview about the used input data and used methodology, shows example maps and describes a comparison with ground data (if provided by the country)

85

Documentation of high resolution solar resource assessment (10km) for China  

Open Energy Info (EERE)

China China provided by DLR Dataset Summary Description (Abstract): Documentation of the satellite-based high resolution solar resource assessment for China provided by DLR. The high resolution solar data (10kmx10km) provide country maps of the annual and monthly sums of hourly global horizontal and direct normal irradiance (GHI and DNI) for the year 2000, 2002 and 2003. Additionally, for selected sites hourly values of GHI and DNI are provided.The Documentation gives an overview about the used input data and used methodology, shows example maps and describes a comparison with ground data (if provided by the country) (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems.

86

Documentation of high resolution solar resource assessment for Ghana  

Open Energy Info (EERE)

Ghana Ghana provided by DLR Dataset Summary Description (Abstract): Documentation of the satellite-based high resolution solar resource assessment for Ghana provided by DLR. The high resolution solar data (10kmx10km) provide country maps of the annual and monthly sums of hourly global horizontal and direct normal irradiance (GHI and DNI) for the year 2000, 2001 and 2002. Additionally, for selected sites hourly values of GHI and DNI are provided.The Documentation gives an overview about the used input data and used methodology, shows example maps and describes a comparison with ground data (if provided by the country) (Purpose): The data are helpful for the assessment of the solar potential of the country and can give projet developer a first impression of the solar resource of the country. For the selected

87

Evaluating Solar Resource Data Obtained from Multiple Radiometers Deployed at the National Renewable Energy Laboratory: Preprint  

SciTech Connect

Solar radiation resource measurements from radiometers are used to predict and evaluate the performance of photovoltaic and concentrating solar power systems, validate satellite-based models for estimating solar resources, and advance research in solar forecasting and climate change. This study analyzes the performance of various commercially available radiometers used for measuring global horizontal irradiances (GHI) and direct normal irradiances (DNI). These include pyranometers, pyrheliometers, rotating shadowband irradiometers, and a pyranometer with a shading ring deployed at the National Renewable Energy Laboratory's Solar Radiation Research Laboratory (SRRL). The radiometers in this study were deployed for one year (from April 1, 2011, through March 31, 2012) and compared to measurements from radiometers with the lowest values of estimated measurement uncertainties for producing reference GHI and DNI.

Habte, A.; Sengupta, M.; Andreas, A.; Wilcox, S.; Stoffel, T.

2014-09-01T23:59:59.000Z

88

Solar: monthly and annual average global horizontal (GHI) GIS...  

Open Energy Info (EERE)

Facebook icon Twitter icon Home Organizations DLR - Deutsches Zentrum fr ... Solar: monthly and annual ... Dataset Activity Stream Solar: monthly and annual average...

89

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

South America from NREL South America from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

90

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

Central America and the Carribean from NREL Central America and the Carribean from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

91

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

East Asia from NREL East Asia from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

92

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

Africa from NREL Africa from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

93

Surface Radiation from GOES: A Physical Approach; Preprint  

SciTech Connect

Models to compute Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI) have been in development over the last 3 decades. These models can be classified as empirical or physical, based on the approach. Empirical models relate ground based observations with satellite measurements and use these relations to compute surface radiation. Physical models consider the radiation received from the earth at the satellite and create retrievals to estimate surface radiation. While empirical methods have been traditionally used for computing surface radiation for the solar energy industry the advent of faster computing has made operational physical models viable. The Global Solar Insolation Project (GSIP) is an operational physical model from NOAA that computes GHI using the visible and infrared channel measurements from the GOES satellites. GSIP uses a two-stage scheme that first retrieves cloud properties and uses those properties in a radiative transfer model to calculate surface radiation. NREL, University of Wisconsin and NOAA have recently collaborated to adapt GSIP to create a 4 km GHI and DNI product every 30 minutes. This paper presents an outline of the methodology and a comprehensive validation using high quality ground based solar data from the National Oceanic and Atmospheric Administration (NOAA) Surface Radiation (SURFRAD) (http://www.srrb.noaa.gov/surfrad/sitepage.html) and Integrated Surface Insolation Study (ISIS) http://www.srrb.noaa.gov/isis/isissites.html), the Solar Radiation Research Laboratory (SRRL) at National Renewable Energy Laboratory (NREL), and Sun Spot One (SS1) stations.

Habte, A.; Sengupta, M.; Wilcox, S.

2012-09-01T23:59:59.000Z

94

Assessment of SUNY Version 3 Global Horizontal and Direct Normal Solar Irradiance in Canada  

Science Journals Connector (OSTI)

In this paper, hourly, daily and annual solar resource data derived form the latest SUNY solar model (version 3) using visible and infrared satellite data is analysed and compared with ground measured solar data from eighteen northern- latitude locations distributed all across Canada. The statistics of spatial and temporal differences between the two datasets obtained from the two versions of SUNY model, i.e., V1 and V3, are analysed for both global horizontal irradiance (GHI) and direct normal irradiance (DNI). SUNY V3 GHI and DNI data set is also compared to a dataset produced by the MAC3 cloud layer model for ten northern-latitude locations across Canada. The MAC3 model, using ground-based data, is the basis of the weather design input data files referred to in the current Canadian Model National Energy Code. It is also the model used for generating the CWEEDS (Canadian Weather Energy and Engineering Data Sets) long term hourly dataset, which is in turn used to derive the CWEC files (Canadian Weather year for Energy Calculations) also called typical meteorological years. CWEC files are used for design and analysis in various applications, including buildings heating and cooling as well as solar systems. Overall, results show that SUNY V3 has improved slightly compared to SUNY V1 in terms of estimating global and beam irradiance. Comparison of the SUNY V3 beta model with the MAC3 model seems to indicate that SUNY V3 model is resulting in better DNI estimates than those derived by the MAC3 model. Both SUNY V3 and MAC 3 models give similar estimates for GHI.

Reda Djebbar; Robert Morris; Didier Thevenard; Richard Perez; James Schlemmer

2012-01-01T23:59:59.000Z

95

Solar Radiometric Data Quality Assessment of SIRS, SKYRAD and GNDRAD Measurements (Poster)  

SciTech Connect

Solar radiation is the driving force for the earth's weather and climate. Understanding the elements of this dynamic energy balance requires accurate measurements of broadband solar irradiance. Since the mid-1990's the ARM Program has deployed pyrheliometers and pyranometers for the measurement of direct normal irradiance (DNI), global horizontal irradiance (GHI), diffuse horizontal irradiance (DHI), and upwelling shortwave (US) radiation at permanent and mobile field research sites. This poster summarizes the basis for assessing the broadband solar radiation data available from the SIRS, SKYRAD, and GNDRAD measurement systems and provides examples of data inspections.

Habte, A.; Stoffel, T.; Reda, I.; Wilcox, S.; Kutchenreiter, M.; Gotseff, P.; Anderberg, M.

2014-03-01T23:59:59.000Z

96

3 GEfILGlobal Education for Innovation and Leadership  

E-Print Network (OSTI)

1 2 11841 PEAK Basic Energy Engineering 5 1 2 10999 A 5 1 2 11840 mechanics & comma; molecular statistics and thermodynamics. 1 1 2 10341 B 1 1 2 11001 issues in the world/Japan 3 1 2 #12; 10028 W 1 1 2 11011 5 1

Miyashita, Yasushi

97

Investing in Sustainable Transport and Urban Systems: The GEF...  

Open Energy Info (EERE)

expand clean public transportation choices that also have the added benefits of lowering air pollution and reducing traffic congestion. LEDSGP green logo.png This tool is included...

98

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

99

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Nepal. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

100

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

Note: This page contains sample records for the topic "dni gef ghi" 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

Solar: monthly global horizontal (GHI) GIS data at 10km resolution for  

Open Energy Info (EERE)

Central America from SUNY Central America from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate solar collectors for Central America (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a horizontal flat-plate solar collector, such as a Photovoltaic (PV) solar panel. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model.

102

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Brazil. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

103

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Mexico, Central America, and the Caribbean Islands from NREL Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate

104

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Ethiopia. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the

105

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Kenya. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

106

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors, for Sri Lanka (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

107

Solar: monthly global horizontal (GHI) GIS data at 40km resolution for  

Open Energy Info (EERE)

40km resolution for 40km resolution for Bangladesh from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Bangladesh. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

108

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Ethiopia. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

109

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

110

Solar: monthly direct normal (DNI) GIS data at 10km resolution for Central  

Open Energy Info (EERE)

for Central for Central America from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Central America. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model. This

111

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Brazil. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

112

Solar: annual average direct normal (DNI) GIS data at 10km resolution for  

Open Energy Info (EERE)

GIS data at 10km resolution for GIS data at 10km resolution for Cuba from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Cuba (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model. This

113

Solar: monthly and annual average direct normal (DNI) GIS data at 40km for  

Open Energy Info (EERE)

km for km for Sri Lanka from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Sri Lanka (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

114

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Kenya. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

115

Solar: monthly direct normal (DNI) GIS data at 40km resolution for  

Open Energy Info (EERE)

40km resolution for 40km resolution for Bangladesh from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Bangladesh. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

116

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Nepal. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

117

UAE | OpenEI  

Open Energy Info (EERE)

UAE UAE Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (DNI) for United Arab Emirates (UAE). The data are available for monthly and annual sums stored in a ESRI-Shapefile. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released Unknown Date Updated February 19th, 2009 (5 years ago) Keywords DLR GHI GIS solar SWERA UAE UNEP United Arab Emirates Data application/zip icon Download Shapefile (zip, 31.1 MiB) text/csv icon Download Data (csv, 151.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

118

United Arab Emirates | OpenEI  

Open Energy Info (EERE)

Arab Emirates Arab Emirates Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (DNI) for United Arab Emirates (UAE). The data are available for monthly and annual sums stored in a ESRI-Shapefile. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released Unknown Date Updated February 19th, 2009 (5 years ago) Keywords DLR GHI GIS solar SWERA UAE UNEP United Arab Emirates Data application/zip icon Download Shapefile (zip, 31.1 MiB) text/csv icon Download Data (csv, 151.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

119

GeoModel | OpenEI  

Open Energy Info (EERE)

GeoModel GeoModel Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA

120

Turkey | OpenEI  

Open Energy Info (EERE)

Turkey Turkey Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA TILT

Note: This page contains sample records for the topic "dni gef ghi" 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

DLR | OpenEI  

Open Energy Info (EERE)

DLR DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (DNI) for United Arab Emirates (UAE). The data are available for monthly and annual sums stored in a ESRI-Shapefile. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released Unknown Date Updated February 19th, 2009 (5 years ago) Keywords DLR GHI GIS solar SWERA UAE UNEP United Arab Emirates Data application/zip icon Download Shapefile (zip, 31.1 MiB) text/csv icon Download Data (csv, 151.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

122

Production of High Resolution Irradiance Data for Central America and Cuba  

Open Energy Info (EERE)

Production of High Resolution Irradiance Data for Central America and Cuba Production of High Resolution Irradiance Data for Central America and Cuba Dataset Summary Description (Abstract): The main object of the SUNY task for SWERA is to prepare high resolution global irradiance (GHI) and direct irradiance (DNI) data sets for the countries of Cuba, El Salvador, Guatemala, Honduras and Nicaragua.Much of our initial effort focused on building up the satellite data tx_metadatatool, and in strengthening and validating the models capable of converting that data into ground surface irradiances. Three research articles, acknowledging all or partial funding from UNEP & SWERA have been published on this subject. (Purpose): SWERA documentation Source SUNY Albany Date Released July 31st, 2003 (11 years ago) Date Updated August 29th, 2003 (11 years ago)

123

SWERA | OpenEI  

Open Energy Info (EERE)

SWERA SWERA Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA TILT

124

UNEP | OpenEI  

Open Energy Info (EERE)

UNEP UNEP Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA TILT

125

methodology | OpenEI  

Open Energy Info (EERE)

methodology methodology Dataset Summary Description (Abstract): The main object of the SUNY task for SWERA is to prepare high resolution global irradiance (GHI) and direct irradiance (DNI) data sets for the countries of Cuba, El Salvador, Guatemala, Honduras and Nicaragua.Much of our initial effort focused on building up the satellite data tx_metadatatool, and in strengthening and validating the models capable of converting that data into ground surface irradiances. Three research articles, acknowledging all or partial funding from UNEP & SWERA have been published on this subject. Source SUNY Albany Date Released July 31st, 2003 (11 years ago) Date Updated August 29th, 2003 (11 years ago) Keywords Cuba methodology solar SWERA UNEP Data application/pdf icon Download Report (pdf, 2.6 MiB)

126

Satellite-Based Solar Resource Data Sets for India 2002-2012  

SciTech Connect

A new 10-km hourly solar resource product was created for India. This product was created using satellite radiances from the Meteosat series of satellites. The product contains global horizontal irradiances (GHI) and direct normal irradiances (DNI) for the period from 2002 to 2011. An additional solar resource data set covering the period from January 2012 to June 2012 was created solely for validation because this period overlaps ground measurements that were made available from the Indian Ministry of New and Renewable Energy's (MNRE's) National Institute for Solar Energy for five stations that are part of MNRE's solar resource network. These measurements were quality checked using the SERI QC software and used to validate the satellite product. A comparison of the satellite product to the ground measurements for the five stations shows good agreement. This report also presents a comparison of the new version of solar resource data to the previous version, which covered the period from 2002 to 2008.

Sengupta, M.; Perez, R.; Gueymard, C.; Anderberg, M.; Gotseff, P.

2014-02-01T23:59:59.000Z

127

TILT | OpenEI  

Open Energy Info (EERE)

TILT TILT Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA TILT

128

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)

129

Production of high Resoulution Irradiance Data for Central America and Cuba  

Open Energy Info (EERE)

DRAFT REPORT - JULY 2003 DRAFT REPORT - JULY 2003 Production of high Resolution Irradiance Data For Central America and Cuba Prepared by Richard Perez ASRC, the University at Albany (SUNY) For United Nations Environmental Program Solar Energy and Wind Resource Assessment (SWERA) Deliverable for July, 2003 The main objective of the SUNY task for SWERA is to prepare high resolution global irradiance (GHI) and direct irradiance (DNI) data sets for the countries of Cuba, El Salvador, Guatemala, Honduras and Nicaragua. Much of our initial effort focused on building up the satellite data archive, and in strengthening and validating the models capable of converting that data into ground surface irradiances. Three research articles, acknowledging all or partial funding

130

atmospheric water vapor | OpenEI  

Open Energy Info (EERE)

atmospheric water vapor atmospheric water vapor Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. Source NREL Date Released July 31st, 2006 (8 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords atmospheric water vapor Carribean Islands Central America DNI GIS Mexico NREL GEF solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 247.8 KiB) text/csv icon Download Data (csv, 370.6 KiB) Quality Metrics Level of Review Some Review

131

map | OpenEI  

Open Energy Info (EERE)

map map Dataset Summary Description (Abstract): A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, aerosol optical depth, precipitable water vapor, albedo, atmospheric pressure and ozone sampled at a 40km resolution. (Purpose): A visual depiction of solar energy resource for photovoltaic power systems. Source NREL Date Released December 11th, 2003 (11 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Cuba GEF GHI map NREL solar SWERA UNEP Data application/pdf icon Download Maps (pdf, 1.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Attribution License Comment Please cite NREL and UNEP SWERA.

132

Carribean Islands | OpenEI  

Open Energy Info (EERE)

Carribean Islands Carribean Islands Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. Source NREL Date Released January 31st, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Carribean Islands Central America GEF GHI GIS Mexico NREL solar SWERA UNEP Data text/csv icon Download Data (csv, 370.6 KiB) application/zip icon Download Shapefile (zip, 244 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

133

China | OpenEI  

Open Energy Info (EERE)

China China Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. Source NREL Date Released April 12th, 2005 (9 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords China GEF GHI GIS NREL solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 629.4 KiB) text/csv icon Download Data (csv, 779.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 01/01/1985 - 12/31/1991 License License Open Data Commons Public Domain Dedication and Licence (PDDL)

134

Heparanase-Induced GEF-H1 Signaling Regulates the Cytoskeletal Dynamics of Brain Metastatic Breast Cancer Cells  

Science Journals Connector (OSTI)

...Bethesda, MD) and Janet Price (MD Anderson Cancer Center...Laemmli buffer with subsequent heating at 95C for 5 minutes. Eluted...Plan-APOCHROMAT 63 or 100 1.4 oil DIC, software version...31. Minard ME , Kim LS, Price JE, Gallick GE.The role...

Lon D. Ridgway; Michael D. Wetzel; Jason A. Ngo; Anat Erdreich-Epstein; and Dario Marchetti

2012-06-01T23:59:59.000Z

135

NREL GIS Data: Hawaii High Resolution Concentrating Solar Power | OpenEI  

Open Energy Info (EERE)

Concentrating Solar Power Concentrating Solar Power Dataset Summary Description Abstract - Monthly and annual average solar resource potential for the state of Hawaii. Purpose - Provide information on the solar resource potential for the state of Hawaii. The insolation values represent the average solar energy available to a concentrating collector on a 2-axis tracker, such as a dish or a power tower. Supplemental Info - This data provides monthly average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. This data was developed using the State University of New York/Albany satellite radiation model. This model was developed by Dr. Richard Perez and collaborators at the National Renewable Energy Laboratory and other universities for the U.S. Department of Energy. Specific information about this model can be found in Perez, et al. (2002). This model uses hourly radiance images from geostationary weather satellites, daily snow cover data, and monthly averages of atmospheric water vapor, trace gases, and the amount of aerosols in the atmosphere to calculate the hourly total insolation (sun and sky) falling on a horizontal surface. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. A modified Bird model is used to calculate clear sky direct normal (DNI). This is then adjusted as a function of the ratio of clear sky global horizontal (GHI) and the model predicted GHI. Where possible, existing ground measurement stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the model, since some of the input parameters are not avalable at a 10km resolution. As a result, it is believed that the modeled values are accurate to approximately 15% of a true measured value within the grid cell. Due to terrain effects and other microclimate influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

136

Ionospheric HF pump wave triggering of local auroral activation !"#$&%')(&0121 3 '45678!%'9@&%$(A21 B CDEF8!9GHI21 P B 9GQ$RS22  

E-Print Network (OSTI)

magnetic field (IMF) orientation and solar wind pressure) and involves the direct deposition of solar wind energy into the auroral ionosphere and the symmetric ring currents. The storage-release system pertains

137

GPR116, an Adhesion G-ProteinCoupled Receptor, Promotes Breast Cancer Metastasis via the G?q-p63RhoGEF-Rho GTPase Pathway  

Science Journals Connector (OSTI)

...domain of PAK, was used. Briefly, both fusion proteins expressed in BL21 were purified...images were photographed with a confocal laser scanning microscope. White arrows indicate...41912-6. 48. Ridley AJ , Paterson HF, Johnston CL, Diekmann D Hall A.The...

Xiaolong Tang; Rongrong Jin; Guojun Qu; Xiu Wang; Zhenxi Li; Zengjin Yuan; Chen Zhao; Stefan Siwko; Tieliu Shi; Ping Wang; Jianru Xiao; Mingyao Liu; and Jian Luo

2013-10-15T23:59:59.000Z

138

Exclusive 0 production at HERMES  

E-Print Network (OSTI)

internen HERMES Target streute, das mit transversal polarisiertem atomaren Wasserstoff gef¨ullt war. Durch

139

A Process Model of Rho GTP-binding Luca Cardelli 1  

E-Print Network (OSTI)

stimuli and with the help from regulators (GEF, GAP, Effector, GDI), these proteins serve as switches

Gardner, Philippa

140

E-Print Network 3.0 - anillo neurorretiniano por Sample Search...  

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

of Physics, University of Central Florida Collection: Physics 2 Matematica Discreta. Primer examen parcial 251007 Apellidos Nombre DNI Grupo Summary: Matematica Discreta....

Note: This page contains sample records for the topic "dni gef ghi" 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

E-Print Network 3.0 - articular dos dedos Sample Search Results  

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

results for: articular dos dedos Page: << < 1 2 3 4 5 > >> 1 Matematica Discreta. Primer examen parcial 251007 Apellidos Nombre DNI Grupo Summary: un conjunto X de 10...

142

E-Print Network 3.0 - algunos insecticidas para Sample Search...  

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

cotejo, de la tarjeta de selectividad Original... , y fotocopia para su cotejo, del DNI o Pasaporte o NIE q Alumnos procedentes de sistemas educativos Source: Escolano,...

143

NREL: Transmission Grid Integration - Solar Power Data for Integration...  

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

The Sub-Hour Irradiance Algorithm predicts the temporal variability from a spatial "patch" of satellite data points. Global horizontal irradiance (GHI) values are converted to...

144

15 Millionen aus DFG-Programmen  

E-Print Network (OSTI)

Foto zeigt Spuren geladener Teilchen in einer mit flüssigem Wasserstoff gefüllten Blasenkammer. Die

145

PA Nanotechnology 2012 Nanotech's Role in Advancing PA's Economy  

E-Print Network (OSTI)

PA Nanotechnology 2012 Nanotech's Role in Advancing PA's Economy June 5, 2012 Harrisburg University University Drexel Nanotechnology Institute (DNI) Harrisburg Area Community College Harrisburg University of Science and Technology Lehigh University Center for Advanced Materials and Nanotechnology (CAMN) Penn

Gilchrist, James F.

146

Management and exploitation of direct normal irradiance resources for concentrating solar collectors: Algeria as a case study  

Science Journals Connector (OSTI)

The use of concentrating solar collectors which are used in solar thermal power plant and concentrated photovoltaic systems implies that these systems only work with the direct normal irradiance (DNI). Unfortu...

Mohamed Salah Mecibah; Taqiy Eddine Boukelia

2014-11-01T23:59:59.000Z

147

Solar variability of four sites across the state of Colorado  

E-Print Network (OSTI)

Four Sites Across the State of Colorado Matthew Lave and Jansites across the state of Colorado were analyzed. GHI at thesites across the state of Colorado. This choice is motivated

Lave, Matthew; Kleissl, Jan

2010-01-01T23:59:59.000Z

148

C-A/AP/#241 Beam Evolution with Time in Electron Cooling and in  

E-Print Network (OSTI)

aSDYH C` `CUCRWX GQ GHI QDI GHWG HW` aIID S`IE VQX GHI aIWU FXQTGH ESI GQ CDGXWaIWU `YWGGIXCDF QV e id idg e d df dee ed ge d f e fdk me ee f e f e fd ee dd e ef ee d e fd de fd f ed d dk ee ef e id idg e d df dee ed k me ee f e

149

Antonia Pozzi Parole / Worte  

E-Print Network (OSTI)

Schatten gewinnst du schwer das Gefühl deines Gewichts deiner Wärme zurück, und die Nacht hat für deine

De Cindio, Fiorella

150

E-Print Network 3.0 - analysis iba facility Sample Search Results  

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

H Street NW, Washington, DC 20433, USA 6... of the Global Environment Facility (GEF; the financial mechanism of the Convention on Biological Diversity... time frame E:...

151

E-Print Network 3.0 - active transalveolar albumin Sample Search...  

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

adenosine 3,5-monophosphate CCRC cumulative... factor GAP GTPase-activating protein GDI guanine dissociation inhibitor GEF guanine exchange factor GM Source: Groningen,...

152

E-Print Network 3.0 - activator protein-1 activation Sample Search...  

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

AHR airway hyperresponsiveness AP-1 activator... factor GAP GTPase-activating protein GDI guanine dissociation inhibitor GEF guanine exchange factor GM Source: Groningen,...

153

E-Print Network 3.0 - activating factor ddt-insensitive Sample...  

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

of abbreviations List of abbreviations Summary: factor GAP GTPase-activating protein GDI guanine dissociation inhibitor GEF guanine exchange factor GM... List of abbreviations...

154

E-Print Network 3.0 - activating lipocalin-type prostaglandin...  

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

AHR airway hyperresponsiveness AP-1 activator... factor GAP GTPase-activating protein GDI guanine dissociation inhibitor GEF guanine exchange factor GM... activated protein...

155

Collection de tirs part du Prof. Drig (en italique= pas prsent dans les bibliothques genevoises)  

E-Print Network (OSTI)

19 1968 2 Andren, A. Due copie dello Hades di Agorakritos? RPAA 1963 2 Andreae, B. Gefässkörper und

Loewith, Robbie

156

Global Assessments and Guidelines for Sustainable Liquid Biofuel  

E-Print Network (OSTI)

Global Assessments and Guidelines for Sustainable Liquid Biofuel Production in Developing Countries Biofuel Production in Developing Countries FINAL REPORT A GEF Targeted Research Project Organized by Bernd for Sustainable Liquid Biofuels. A GEF Targeted Research Project. Heidelberg/Paris/Utrecht/Darmstadt, 29 February

157

Telsiai Siauliai PanevezysKlaipedaVezaiciai  

E-Print Network (OSTI)

The UNDP/GEF Baltic Wind Atlas Ole Rathmann The UNDP/GEF Regional Baltic Wind Energy Programme Risø In the frame of the Regional Baltic Wind Energy Programme, sponsored by the Global Environment Facility through to primo October 2001. The measured data have been analysed according to the "Wind Atlas Method", implying

158

Definition: Direct normal irradiance | Open Energy Information  

Open Energy Info (EERE)

normal irradiance normal irradiance (Redirected from Definition:DNI) Jump to: navigation, search Dictionary.png Direct normal irradiance the amount of solar radiation received per unit area by a surface perpendicular (normal) to the rays that come in a straight line from the direction of the sun at its current position in the sky.[1] Also Known As DNI Related Terms Solar radiation, Irradiance, Concentrating solar power, Global horizontal irradiance References ↑ http://www.3tier.com/en/support/glossary/#dni Retrie LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ved from "http://en.openei.org/w/index.php?title=Definition:Direct_normal_irradiance&oldid=423379" Category: Definitions What links here Related changes Special pages Printable version Permanent link

159

File:SWERA-276.pdf | Open Energy Information  

Open Energy Info (EERE)

annual average direct normal (DNI) map at 40km resolution for Southern Mexico (Oaxaca, Veracruz, and Chiapas) from NREL annual average direct normal (DNI) map at 40km resolution for Southern Mexico (Oaxaca, Veracruz, and Chiapas) from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 237 KB, MIME type: application/pdf) Title Annual Average Solar Resource for 2-axis tracking concentrating collectors for Southern Mexico Description Solar: annual average direct normal (DNI) map at 40km resolution for Southern Mexico (Oaxaca, Veracruz, and Chiapas) from NREL Sources University at Albany, SUNY Related Technologies Solar Creation Date 2005-09-06 Extent International Countries Mexico UN Region Central America External links http://swera.unep.net/index.php?id=35&idx=276 File history Click on a date/time to view the file as it appeared at that time.

160

File:SWERA-151.pdf | Open Energy Information  

Open Energy Info (EERE)

direct normal (DNI) map at 40km resolution for Cuba from NREL direct normal (DNI) map at 40km resolution for Cuba from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 1.22 MB, MIME type: application/pdf) Title A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, Description Solar: monthly average direct normal (DNI) map at 40km resolution for Cuba from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2003-12-10 Extent International Countries Cuba UN Region Caribbean External links http://swera.unep.net/index.php?id=35&idx=151 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment

Note: This page contains sample records for the topic "dni gef ghi" 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

File:SWERA-246.pdf | Open Energy Information  

Open Energy Info (EERE)

monthly direct normal (DNI) GIS data at 40km resolution for Bangladesh from NREL monthly direct normal (DNI) GIS data at 40km resolution for Bangladesh from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 249 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Bangladesh. Description Solar: monthly direct normal (DNI) GIS data at 40km resolution for Bangladesh from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2005-04-12 Extent International Countries Bangladesh UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=246 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment

162

File:SWERA-159.pdf | Open Energy Information  

Open Energy Info (EERE)

global horizontal (GHI) map at 40km resolution for Cuba from NREL global horizontal (GHI) map at 40km resolution for Cuba from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 1.2 MB, MIME type: application/pdf) Title A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, Description Solar: monthly average global horizontal (GHI) map at 40km resolution for Cuba from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2003-12-11 Extent International Countries Cuba UN Region Caribbean External links http://swera.unep.net/index.php?id=35&idx=159 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment

163

File:SWERA-277.pdf | Open Energy Information  

Open Energy Info (EERE)

annual average global horizontal (GHI) map at 40km resolution for Southern Mexico (Oaxaca, Veracruz, and Chiapas) from NREL annual average global horizontal (GHI) map at 40km resolution for Southern Mexico (Oaxaca, Veracruz, and Chiapas) from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 236 KB, MIME type: application/pdf) Title Annual Average Solar Resource for horizontal flat-plate solar collectors for Southern Mexico. Description Solar: annual average global horizontal (GHI) map at 40km resolution for Southern Mexico (Oaxaca, Veracruz, and Chiapas) from NREL Sources University at Albany, SUNY Related Technologies Solar Creation Date 2005-09-06 Extent International Countries Mexico UN Region Central America External links http://swera.unep.net/index.php?id=35&idx=277 File history Click on a date/time to view the file as it appeared at that time.

164

File:SWERA-202.pdf | Open Energy Information  

Open Energy Info (EERE)

global horizontal (GHI) GIS data at 40km resolution for Sri Lanka from NREL global horizontal (GHI) GIS data at 40km resolution for Sri Lanka from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 863 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for horizontal flat-plate collectors, for Sri Lanka Description Solar: monthly and annual average global horizontal (GHI) GIS data at 40km resolution for Sri Lanka from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2004-07-01 Extent International Countries Sri Lanka UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=202 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment

165

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

SciTech Connect

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

166

File:SWERA-157.pdf | Open Energy Information  

Open Energy Info (EERE)

average global horizontal (GHI) map at 40km resolution for Central America from NREL average global horizontal (GHI) map at 40km resolution for Central America from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 1.33 MB, MIME type: application/pdf) Title A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, Description Solar: monthly average global horizontal (GHI) map at 40km resolution for Central America from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2003-12-11 Extent Regional Regions Central America External links http://swera.unep.net/index.php?id=35&idx=157 File history Click on a date/time to view the file as it appeared at that time.

167

! "#$ %& '( )* +,-./01 2! 3$4 56 789 +,-./0 :; ?  

E-Print Network (OSTI)

"> [?F & S°! G? +,- ./0G "yE'! 1 S°F (" l]m & ± ²2 J"³ STiA $U Viz ¡?+ ) Gw ¡? , -1 #12; ³ P ´G 8H$4°! >?$4 ! c +,- @ABC! 78$ DE 789 ÿJ1 " ./0F 56 1 GHI J"#12;E EU î V :; 1 GHI J" ! STiA $U VE 22¹ ?³ ".$S 3Z #¤ 78 +,- @ABC1 ./01 #12; ¡ª +,-1 Z Sx$U )¤ ³ 3Z STiA $U V 22 '% S°! ö? 7&$U VE p

Kim, Kwangjo

168

Event:Expanded Constituency Workshop for West Africa | Open Energy  

Open Energy Info (EERE)

Expanded Constituency Workshop for West Africa Expanded Constituency Workshop for West Africa Jump to: navigation, search Calendar.png Expanded Constituency Workshop for West Africa: on 2012/09/04 The Global Environment Facility (GEF) is holding an Expanded Constituency Workshop (ECW) for West Africa, as part of the GEF Country Support Programme, including participants from Benin, Cote D'Ivoire, Ghana, Liberia, Nigeria, Sierra leone, Guinea and Togo. The workshop will bring together representatives from civil society, the GEF Secretariat and GEF Agencies, with focal points of the biodiversity, desertification, climate change, and chemicals conventions to discuss activities with global environmental benefits. Civil society organizations are invited to register at the meeting website. Runs September 4 - 6

169

Teilnehmer des deutsch-ukrainisch-polnischen Seminars in Tscherniwzi 2012  

E-Print Network (OSTI)

Teilnehmer des deutsch-ukrainisch-polnischen Seminars in Tscherniwzi 2012 BAYHOST & die Ukraine. Gefördert durch den DAAD veranstaltete BAYHOST zwei Deutsch - Ukrainische Seminare, die sich dem Thema

Schubart, Christoph

170

Climate Change Adaptation: Getting Ahead of the Curve1 Alexis Saba, Michela Biasutti, Michael B. Gerrard,*  

E-Print Network (OSTI)

climate change adaptation in developing countries. Other sources of financing, from multilateral GEF: Global Environment Facility IPCC: Intergovernmental Panel on Climate Change LDCs: Least Developed! 1 ! Climate Change Adaptation: Getting Ahead of the Curve1 Alexis Saba, Michela Biasutti, Michael

Biasutti, Michela

171

Verification of Quantitative Precipitation Reforecasts over the Southeastern United States  

Science Journals Connector (OSTI)

NOAAs second-generation reforecasts are approximately consistent with the operational version of the 2012 NOAA Global Ensemble Forecast System (GEFS). The reforecasts allow verification to be performed across a multidecadal time period using a ...

Martin A. Baxter; Gary M. Lackmann; Kelly M. Mahoney; Thomas E. Workoff; Thomas M. Hamill

2014-10-01T23:59:59.000Z

172

Ensemble Transform with 3D Rescaling Initialization Method  

Science Journals Connector (OSTI)

The ensemble transform with rescaling (ETR) method has been used to produce fast-growing components of analysis error in the NCEP Global Ensemble Forecast System (GEFS). The rescaling mask contained in the ETR method constrains the amplitude of ...

Juhui Ma; Yuejian Zhu; Dingchen Hou; Xiaqiong Zhou; Malaquias Pea

2014-11-01T23:59:59.000Z

173

The effect of efficient lighting on the environment: pilot project in Palestine  

Science Journals Connector (OSTI)

The global environment facility (GEF 1994...) has funded the Mexico high-efficiency project. The main goal of the project is to reduce greenhouse gas emissions as well as local environmental ... through the repla...

Naser Tibi; Ahmad Ramahi

2005-11-01T23:59:59.000Z

174

RhoA, B, and C in cancer : study of statin-induced changes in Rho signaling, and identification of isoform-specific Rho effectors  

E-Print Network (OSTI)

g gram GAP GTPase activating protein GDI guanine nucleotideand treated as indicated. Rho-GDI Immunoprecipitation 1 xto dissociate from Rho-GDI and be activated by Rho-GEFs.

Turner, Stephanie J.

2009-01-01T23:59:59.000Z

175

Spatial and temporal regulation of G-protein signaling elucidated by computational modeling and live cell FRET imaging  

E-Print Network (OSTI)

DP. 2004. Return of the GDI: the GoLoco motif in cell36). Heterotrimeric G, GDI, GEF and RGS proteins have beenguanine dissociation inhibitor (GDI) that binds the inactive

Bornheimer, Scott Joseph

2008-01-01T23:59:59.000Z

176

P.A. Bolley: Pharmazeutische Chemie (1855-1860) J. Gastell: Pharmakognosie + teilweise  

E-Print Network (OSTI)

#12;Asiatische Wasserpfeifen (Hartwich 1911, Tafel 8) Gefä?e zur Aufnahme des beim Betelkauen benutzten Kalkes (Hartwich 1911, Tafel 21) #12;Aus Nachruf von Prof. C. Schröter C. Hartwich, Die

Sandoghdar, Vahid

177

E-Print Network 3.0 - antonio garcia garcia Sample Search Results  

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

45 ORDEN DNI NOMBRE APELLIDO1 APELLIDO2 Diplomado UA Summary: ,25 3 4,25 22 48563427P ESTHER SANCHEZ MARTIN 1,25 3 4,25 23 74087105B ANTONIO GARCIA NAVARRO 1,24 3 4... ANGELA...

178

A NEW HIGH FREQUENCY GLOBAL-TO-DIRECT IRRADIANCE CONVERSION METHODOLOGY  

E-Print Network (OSTI)

, Navarra (Spain) Abstract In order to accurately simulate the behavior of a solar thermal power plant will improve results of solar thermal power plants simulations. Keywords: Direct Normal Irradiance (DNI by knowing this information with accuracy, it will be possible to predict the solar thermal power plant

Paris-Sud XI, Université de

179

TOWARDS SUSTAINABLE LAND MANAGEMENT IN THE DRYLANDS: SCIENTIFIC CONNECTIONS IN MONITORING AND ASSESSING DRYLAND  

E-Print Network (OSTI)

), Potchefstroom, South Africa 13 Secretariat DesertNet International (DNI), c/o Biocentre Klein Flottbek and Innovation, Industry and Investment NSW, PO Box 100, Beecroft, NSW, Australia 3 Unit Transition Energy of synergies, conflicts, trade-offs, interconnections, feedbacks and spillover effects among multiple

Lehmann, Johannes

180

Curriculum vitae Name: SALVADOR CARRANZA  

E-Print Network (OSTI)

1 Curriculum vitae Name: SALVADOR CARRANZA Date: 12-09-2008 #12;2 Personal data Surname: Carranza Name: Salvador Sex: Male DNI: 38510283A Passport number: AD955041 Date of Birth: 20th of April 1968: +34 932309644 Fax: +34 932309555 Email: salvador.carranza@ibe.upf-csic.es Research interests Phylogeny

Carranza, Salvador

Note: This page contains sample records for the topic "dni gef ghi" 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

Gamma-Ray Burst Observations by Pioneer Venus Orbiter  

Science Journals Connector (OSTI)

...observed spectra appear to be consistent with dNI dE-exp [-E(keV)/150] [where...Scientific Laboratory, Los Alamos, New Mexico 87545 R. E. SPALDING Sandia Laboratories, Albuquerque, New Mexico 87115 References and Notes 1. R. W...

W. D. EVANS; J. P. GLORE; R. W. KLEBESADEL; J. G. LAROS; E. R. TECH; R. E. SPALDING

1979-07-06T23:59:59.000Z

182

PA Regional Nanotechnology Conference Collaborating in Today's Economy  

E-Print Network (OSTI)

4/23/2009 Present PA Regional Nanotechnology Conference Collaborating in Today's Economy May 27 of green technologies and alternative energy. The PA Initiative for Nanotechnology (PIN), established organizations - Drexel University's DNI, the LNN of Lehigh University, and The Nanotechnology Institute (NTI

Gilchrist, James F.

183

An alternative methodology to treat solar radiation data for the optical efficiency estimate of different types of collectors  

Science Journals Connector (OSTI)

Abstract An alternative methodology to calculate the yearly optical efficiency of a generic solar power collector/converter for any chosen location is here proposed. The innovation is in considering the yearly direct normal irradiation (DNI) not as a series of temporal data with hourly or minute resolution, but rather, as a map of physical positions assumed by the sun during the year in the sky vault. A MATLAB suite was developed to convert the temporal DNI information, which is usually available for a chosen location, into spatial DNI information. The suite allows creating a yearly direct solar irradiation density map as function of a generic pair of independent angular coordinates (e.g., azimuth and zenith). The yearly DNI density map can then easily be multiplied by the collector efficiency map to obtain its yearly optical efficiency. The main advantages of the proposed approach compared to conventional temporal ones are (i) reduced magnitude of computational effort, and (ii) ease in conducting collector optical optimization. The approach is tested on three casesa generic flat collector and two linear collectorsto show its generality and potentialities. The developed methodology is applied to optimize the yearly optical efficiency of a linear Fresnel collector with different orientations and mirror layouts.

Marco Binotti; Giampaolo Manzolini; Guangdong Zhu

2014-01-01T23:59:59.000Z

184

Direct normal irradiance related definitions and applications: The circumsolar issue  

Science Journals Connector (OSTI)

Abstract The direct irradiance received on a plane normal to the sun, called direct normal irradiance (DNI), is of particular relevance to concentrated solar technologies, including concentrating solar thermal plants and concentrated photovoltaic systems. Following various standards from the International Organization for Standardization (ISO), the DNI definition is related to the irradiance from a small solid angle of the sky, centered on the position of the sun. Half-angle apertures of pyrheliometers measuring DNI have varied over time, up to ?10. The current recommendation of the World Meteorological Organization (WMO) for this half-angle is 2.5. Solar concentrating collectors have an angular acceptance function that can be significantly narrower, especially for technologies with high concentration ratios. The disagreement between the various interpretations of DNI, from the theoretical definition used in atmospheric physics and radiative transfer modeling to practical definitions corresponding to specific measurements or conversion technologies is significant, especially in the presence of cirrus clouds or large concentration of aerosols. Under such sky conditions, the circumsolar radiationi.e. the diffuse radiation coming from the vicinity of the suncontributes significantly to the DNI ground measurement, although some concentrating collectors cannot utilize the bulk of it. These issues have been identified in the EU-funded projects MACC-II (Monitoring Atmospheric Composition and Climate-Interim Implementation) and SFERA (Solar Facilities for the European Research Area), and have been discussed within a panel of international experts in the framework of the Solar Heating and Cooling (SHC) program of the International Energy Agencys (IEAs) Task 46 Solar Resource Assessment and Forecasting. In accordance with these discussions, the terms of reference related to DNI are specified here. The important role of circumsolar radiation is evidenced, and its potential contribution is evaluated for typical atmospheric conditions. For thorough analysis of performance of concentrating solar systems, it is recommended that, in addition to the conventional DNI related to 2.5 half-angle of todays pyrheliometers, solar resource data sets also report the sunshape, the circumsolar contribution or the circumsolar ratio (CSR).

P. Blanc; B. Espinar; N. Geuder; C. Gueymard; R. Meyer; R. Pitz-Paal; B. Reinhardt; D. Renn; M. Sengupta; L. Wald; S. Wilbert

2014-01-01T23:59:59.000Z

185

Gordon Research Conferences  

Science Journals Connector (OSTI)

...prospects for gene control of proliferation...Chemistry Heterocyclic Lasers in Medicine and Compounds...L. Koenig, "LASER-Raman ionosphere...transport in the solar wind"; gram, "Morphology...interactions"; ghi, "Laser photolysis." Faust...leader): G. and control." volved in ion...

Alexander M. Cruickshank

1972-03-10T23:59:59.000Z

186

On the determination of coherent solar microclimates for utility planning and operations  

Science Journals Connector (OSTI)

Abstract This work presents a cluster analysis for the determination of coherent zones of Global Horizontal Irradiance (GHI) for a utility scale territory in California, which is serviced by San Diego Gas & Electric. Knowledge of these coherent zones, or clusters, would allow utilities and power plants to realize cost savings through regional planning and operation activities such as the mitigation of solar power variability through the intelligent placement of solar farms and the optimal placement of radiometric stations. In order to determine such clusters, two years of gridded satellite data were used to describe the evolution of GHI over a portion of Southern California. Step changes of the average daily clear-sky index at each location are used to characterize the fluctuation of GHI. The k-means clustering algorithm is applied in conjunction with a stable initialization method to diminish its dependency to random initial conditions. Two validity indices are then used to define the quality of the cluster partitions as well as the appropriate number of clusters. The clustering algorithm determined an optimal number of 14 coherent spatial clusters of similar GHI variability as the most appropriate segmentation of the service territory map. In addition, 14 cluster centers are selected whose radiometric observations may serve as a proxy for the rest of the cluster. A correlation analysis, within and between the proposed clusters, based both on single-point ground-based and satellite-derived measurements evaluates positively the coherence of the conducted clustering. This method could easily be applied to any other utility scale region and is not dependent on GHI data which shows promise for the application of such clustering methods to load data and/or other renewable resources such as wind.

Athanassios Zagouras; Rich H. Inman; Carlos F.M. Coimbra

2014-01-01T23:59:59.000Z

187

Last-Minute Energy Saving Stocking Stuffers | Department of Energy  

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

Last-Minute Energy Saving Stocking Stuffers Last-Minute Energy Saving Stocking Stuffers Last-Minute Energy Saving Stocking Stuffers December 23, 2013 - 12:13pm Addthis There are all sorts of small energy-efficient presents available for stuffing stockings this year. | Photo courtesy of ©iStockphoto.com/DNY59 There are all sorts of small energy-efficient presents available for stuffing stockings this year. | Photo courtesy of ©iStockphoto.com/DNY59 Christina Stowers Communications Specialist in the Office of Weatherization and Intergovernmental Program How can I participate? Keep an eye out for these small, energy saving gifts as you do your last minute shopping this year. Looking for some last minute stocking stuffers to complement the holiday gifts you've purchased for your loved ones? We covered a few

188

File:SWERA-201.pdf | Open Energy Information  

Open Energy Info (EERE)

pdf pdf Jump to: navigation, search File File history File usage Solar: monthly and annual average direct normal (DNI) GIS data at 40km for Sri Lanka from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 864 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Sri Lanka Description Solar: monthly and annual average direct normal (DNI) GIS data at 40km for Sri Lanka from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2004-07-01 Extent International Countries Sri Lanka UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=201 File history Click on a date/time to view the file as it appeared at that time.

189

File:SWERA-asiaDIRnrel-211.pdf | Open Energy Information  

Open Energy Info (EERE)

asiaDIRnrel-211.pdf asiaDIRnrel-211.pdf Jump to: navigation, search File File history File usage Solar: annual average direct normal (DNI) map at 40km resolution for East Asia from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 3.1 MB, MIME type: application/pdf) Title A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, Description Solar: annual average direct normal (DNI) map at 40km resolution for East Asia from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2006-07-01 Regions Asia, East Asia External links http://swera.unep.net/index.php?id=35&idx=326 File history Click on a date/time to view the file as it appeared at that time.

190

Further Studies on Bacteriophage T4 DNA Synthesis in Sucrose-Plasmolyzed Cells  

Science Journals Connector (OSTI)

...was included as a control. T4 PHAGE DNA SYNTHESIS IN SITU 59 D 0 x z 0 I- 4 W 0 Q. 0 Q z H 0. a F and scrii grob carr mor usec for exp pre WI (i)1 al. con whi DS two gen typ knc of d dNI nizA me 3 , , , phenotypes is correctable in situ, indicating...

Mary E. Stafford; G. Prem Veer Reddy; Christopher K. Mathews

1977-07-01T23:59:59.000Z

191

Evaluating Solar Radiation Attenuation Models to Assess the Effects of Climate and Geographical Location on the Heliostat Field Efficiency in Brazil  

Science Journals Connector (OSTI)

Abstract Most of the solar power plants using a central receiver which are currently in operation are installed in the Sun Belt region, specifically above the Tropic of Cancer. These plants are located in regions characterized by a dry summers and a yearly sum of Direct Normal Irradiation (DNI) of over 2300 kWh/m2. These regions include the Mojave Desert (semi-arid climate) and Andaluca in southern Spain (Mediterranean and semi-arid climate). Potential locations for installing such plants in Brazil, identified in previous studies, are the So Francisco river basin and the Sobradinho area in the Northeast Region of the country. These locations are characterized by high humidity levels and yearly DNI values ranging from 1800 to 2300 kWh/m2, which is in clear contrast with the dry and desert climates where the solar tower projects currently in operation are located. Besides the combined effects of climate and the inter-tropicalization of the site, based on the solar angles and atmospheric attenuation, the potential locations in Brazil provide a small variation between the monthly averages DNI values. In this paper, the effects of these particularities on the performance of a heliostat field are assessed. For instance, the effects of the atmospheric water vapor and aerosol concentration on the optical performance of the heliostat field are analyzed. The results suggest that, for the same DNI level, the heliostat field in Brazil should be 4% larger due to the effect of the water vapor concentration in the atmosphere. This is an important finding, which shows that the current models for calculating the attenuation between the heliostat and the receiver need to be reviewed and compared with experimental observations and validated for the conditions prevailing at potential locations in Brazil.

JM Cardemil; AR Starke; VK Scariot; IL. Grams; S Colle

2014-01-01T23:59:59.000Z

192

File:SWERA-214.pdf | Open Energy Information  

Open Energy Info (EERE)

.pdf .pdf Jump to: navigation, search File File history File usage Solar: annual average global horizontal (GHI) GIS data at 10km resolution for Cuba from SUNY Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 390 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for horizontal flat-plate solar collectors for Cuba Description Solar: annual average global horizontal (GHI) GIS data at 10km resolution for Cuba from SUNY Sources University at Albany, SUNY Related Technologies Solar Creation Date 2004-10-07 Extent International Countries Cuba UN Region Caribbean External links http://swera.unep.net/index.php?id=35&idx=214 File history Click on a date/time to view the file as it appeared at that time.

193

File:SWERA-212.pdf | Open Energy Information  

Open Energy Info (EERE)

.pdf .pdf Jump to: navigation, search File File history File usage Solar: monthly global horizontal (GHI) GIS data at 10km resolution for Central America from SUNY Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 665 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for horizontal flat-plate solar collectors for Central America Description Solar: monthly global horizontal (GHI) GIS data at 10km resolution for Central America from SUNY Sources University at Albany, SUNY Related Technologies Solar Creation Date 2004-10-07 Extent Regional Regions Central America External links http://swera.unep.net/index.php?id=35&idx=212 File history Click on a date/time to view the file as it appeared at that time.

194

Greenbelt Homes Pilot Energy Efficiency Program Phase 1 Summary: Existing Conditions and Baseline Energy Use  

SciTech Connect

A multi-year pilot energy efficiency retrofit project has been undertaken by Greenbelt Homes, Inc, (GHI) a 1,566 co-operative of circa 1930 and '40 homes. The three predominate construction methods of the townhomes in the community are materials common to the area and climate zone including 8" CMU block, wood frame with brick veneer and wood frame with vinyl siding. GHI has established a pilot project that will serve as a basis for decision making for the roll out of a decade-long community upgrade program that will incorporate energy efficiency to the building envelope and equipment with the modernization of other systems like plumbing, mechanical equipment, and cladding.

Wiehagen, J.; Del Bianco, M.; Wood, A.

2013-02-01T23:59:59.000Z

195

Promotion of Wind Energy: Lessons Learned from International Experience and  

Open Energy Info (EERE)

Promotion of Wind Energy: Lessons Learned from International Experience and Promotion of Wind Energy: Lessons Learned from International Experience and United Nations Development Programme Global Environment Facility (UNDP-GEF) Projects Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Promotion of Wind Energy: Lessons Learned from International Experience and United Nations Development Programme Global Environment Facility (UNDP-GEF) Projects Focus Area: Renewable Energy Topics: Opportunity Assessment & Screening Website: www.undp.org/gef/documents/publications/windpower_web.pdf Equivalent URI: cleanenergysolutions.org/content/promotion-wind-energy-lessons-learned Language: English Policies: "Deployment Programs,Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property.

196

Ghana-NREL Rural Electrification | Open Energy Information  

Open Energy Info (EERE)

NREL Rural Electrification NREL Rural Electrification Jump to: navigation, search Logo: Ghana Rural Electrification Name Ghana Rural Electrification Agency/Company /Organization National Renewable Energy Laboratory Partner UNDP and GEF Sector Energy Topics Market analysis, Background analysis Program Start 1996 Program End 2002 Country Ghana Western Africa References NREL International Program Overview [1] Abstract From 1996-2002, NREL supported the development of a rural electrification project in Ghana in cooperation with UNDP and GEF. From 1996-2002, NREL supported the development of a rural electrification project in Ghana in cooperation with UNDP and GEF. NREL also piloted a business model for providing energy services in rural areas of Ghana.[1] References ↑ 1.0 1.1 NREL International Program Overview - Ghana

197

File:SWERA-252.pdf | Open Energy Information  

Open Energy Info (EERE)

direct normal (DNI) GIS data at 40km resolution for Nepal from NREL direct normal (DNI) GIS data at 40km resolution for Nepal from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 243 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Nepal. Description Solar: monthly and annual average direct normal (DNI) GIS data at 40km resolution for Nepal from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2005-04-12 Extent International Countries Nepal UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=252 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:28, 29 December 2010 Thumbnail for version as of 12:28, 29 December 2010 1,650 × 1,275 (243 KB) MapBot (Talk | contribs) Automated bot upload

198

File:SWERA-211.pdf | Open Energy Information  

Open Energy Info (EERE)

direct normal (DNI) GIS data at 10km resolution for Central America from SUNY direct normal (DNI) GIS data at 10km resolution for Central America from SUNY Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 672 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Central America Description Solar: monthly direct normal (DNI) GIS data at 10km resolution for Central America from SUNY Sources University at Albany, SUNY Related Technologies Solar Creation Date 2004-10-07 Extent Regional Regions Central America External links http://swera.unep.net/index.php?id=35&idx=211 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:25, 29 December 2010 Thumbnail for version as of 12:25, 29 December 2010 1,650 × 1,275 (672 KB) MapBot (Talk | contribs) Automated bot upload

199

File:SWERA-213.pdf | Open Energy Information  

Open Energy Info (EERE)

annual average direct normal (DNI) GIS data at 10km resolution for Cuba from SUNY annual average direct normal (DNI) GIS data at 10km resolution for Cuba from SUNY Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 391 KB, MIME type: application/pdf) Title Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Cuba Description Solar: annual average direct normal (DNI) GIS data at 10km resolution for Cuba from SUNY Sources University at Albany, SUNY Related Technologies Solar Creation Date 2004-10-07 Extent International Countries Cuba UN Region Caribbean External links http://swera.unep.net/index.php?id=35&idx=213 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:26, 29 December 2010 Thumbnail for version as of 12:26, 29 December 2010 1,650 × 1,275 (391 KB) MapBot (Talk | contribs) Automated bot upload

200

Potential of Concentrating Solar Power in Canada  

Science Journals Connector (OSTI)

Abstract In this paper, results of an analysis to assess the potential of concentrating solar thermal power applications in Canada are presented. First, a direct normal solar resource (DNI) resource map for Canada is introduced. This map indicates the locations where the DNI is the highest in Canada and is derived from the most recent Perez's SUNY satellite-based solar resource model Version number 3. Second, the methodology and results of a GIS analysis to identify the locations of the most suitable lands for concentrating solar thermal power (CSP) applications in Canada are discussed. The total areas of the CSP-suitable lands are presented in a tabulated and a map formats for each of the Canadian provinces where there is a maximum DNI solar resource. Third and finally, results of a technical economical analysis for two CSP system designs are discussed. The two CSP systems considered include parabolic trough with synthetic oil heat transfer fluid with and without storage, molten salt power tower with and without storage.

R. Djebbar; D. Belanger; D. Boutin; E. Weterings; M. Poirier

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "dni gef ghi" 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

 

Gasoline and Diesel Fuel Update (EIA)

8) 8) June 2010 State Energy Price and Expenditure Estimates 1970 Through 2008 2008 Price and Expenditure Summary Tables Table S1a. Energy Price Estimates by Source, 2008 (Dollars per Million Btu) State Primary Energy Electric Power Sector g,h Retail Electricity Total Energy g,i Coal Natural Gas a Petroleum Nuclear Fuel Biomass Total g,h,i Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and

202

NE Pacific St. NE Pacific St.  

E-Print Network (OSTI)

Lake W ashington Ship Canal NE Pacific St. NE Pacific St. NE Boat St. 15th Ave NE 15thAveNE UniversityWayNE BrooklynAveNE NE Pacific St. MontlakeBlvdNE MontlakeBlvdNE Pacific Place NE University Burke-Gilman Trail METRO NW A CD D EF F GHI H J RR BB CC EE AA Rotunda Cafe Ocean Sciences Hitchcock

203

File:SWERA-247.pdf | Open Energy Information  

Open Energy Info (EERE)

global horizontal (GHI) GIS data at 40km resolution for Bangladesh from NREL global horizontal (GHI) GIS data at 40km resolution for Bangladesh from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 250 KB, MIME type: application/pdf) Title Monthly average solar resource for horizontal flat-plate collectors for Bangladesh. Description Solar: monthly global horizontal (GHI) GIS data at 40km resolution for Bangladesh from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2005-04-12 Extent International Countries Bangladesh UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=247 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:27, 29 December 2010 Thumbnail for version as of 12:27, 29 December 2010 1,650 × 1,275 (250 KB) MapBot (Talk | contribs) Automated bot upload

204

Validation of the NSRDB-SUNY global horizontal irradiance in California  

SciTech Connect

Satellite derived global horizontal solar irradiance (GHI) from the SUNY modeled dataset in the National Solar Radiation Database (NSRDB) was compared to measurements from 27 weather stations in California during the years 1998-2005. The statistics of spatial and temporal differences between the two datasets were analyzed and related to meteorological phenomena. Overall mean bias errors (MBE) of the NSRDB-SUNY indicated a GHI overprediction of 5%, which is smaller than the sensor accuracy of ground stations. However, at coastal sites, year-round systematic positive MBEs in the NSRDB-SUNY data up to 18% were observed and monthly MBEs increased up to 54% in the summer months during the morning. These differences were explained by a tendency for the NSRDB-SUNY model to overestimate GHI under cloudy conditions at the coast during summer mornings. A persistent positive evening MBE which was independent of site location and cloudiness occurred at all stations and was explained by an error in the time-shifting method applied in the NSRDB-SUNY. A correction method was derived for these two errors to improve the accuracy of the NSRDB-SUNY data in California. (author)

Nottrott, Anders; Kleissl, Jan [Mechanical and Aerospace Engineering, University of California, San Diego (United States)

2010-10-15T23:59:59.000Z

205

File:SWERA-253.pdf | Open Energy Information  

Open Energy Info (EERE)

global horizontal (GHI) GIS data at 40km resolution for Nepal from NREL global horizontal (GHI) GIS data at 40km resolution for Nepal from NREL Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 242 KB, MIME type: application/pdf) Title Monthly average solar resource for horizontal flat-plate collectors for Nepal. Description Solar: monthly and annual average global horizontal (GHI) GIS data at 40km resolution for Nepal from NREL Sources National Renewable Energy Laboratory Related Technologies Solar Creation Date 2005-04-12 Extent International Countries Nepal UN Region Southern Asia External links http://swera.unep.net/index.php?id=35&idx=253 File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:28, 29 December 2010 Thumbnail for version as of 12:28, 29 December 2010 1,650 × 1,275 (242 KB) MapBot (Talk | contribs) Automated bot upload

206

National Master Plan for Development of Waste-to-Energy in India 1 The National Master Plan  

E-Print Network (OSTI)

1 National Master Plan for Development of Waste-to-Energy in India 1 The National Master Plan a National Master Plan (NMP) for waste-to-energy as one of the activities under UNDP/GEF assisted project. The NMP provides a framework for waste-to-energy programme for the country besides a means of processing

Columbia University

207

The Rac GTP Exchange Factor TIAM-1 Acts with CDC-42 and the Guidance Receptor UNC-40/DCC in Neuronal Protrusion and Axon Guidance  

E-Print Network (OSTI)

-73 does not control CED-10/Rac downstream of UNC-6/Netrin in attractive axon guidance. Here we show that C. elegans TIAM-1 is a Rac-specific GEF that links CDC-42 and Rac signaling in lamellipodia and filopodia formation downstream of UNC-40/DCC. We...

Demarco, Rafael Senos; Struckhoff, Eric Charles; Lundquist, Erik A.

2012-04-26T23:59:59.000Z

208

Noncanonical G-Protein-Dependent Modulation of Osteoclast Differentiation and Bone Resorption Mediated by Pasteurella multocida Toxin  

Science Journals Connector (OSTI)

...Souchet M , Portales-Casamar E, Mazurais D, Schmidt S, Leger I, Javre JL, Robert P, Berrebi-Bertrand I, Bril A, Gout B, Debant A and Calmels TP. 2002. Human p63RhoGEF, a novel RhoA-specific guanine nucleotide exchange factor, is localized...

Julia Strack; Hannah Heni; Ralf Gilsbach; Lutz Hein; Klaus Aktories; Joachim H. C. Orth

2014-12-01T23:59:59.000Z

209

contact@x-bay.de www.x-bay.de  

E-Print Network (OSTI)

durch ein kleines Loch mit Wasserstoff gefüllt und anschlie?end an- gezündet wird, gibt einen lau- ten Knall von sich. Warum? ,,Sauerstoff und Wasserstoff vermischen sich in der Dose zu Knallgas", erklärte

Schmidt, Matthias

210

A l u m n i C a m p u s N E U E M A T E R I A L I E N Ionen und Autos  

E-Print Network (OSTI)

- fähiger Energiespeicher. WAS DIE MOBILIT?T VON ELEKTROAUTOS MIT DER MOBILIT?T VON LITHIUM wieder ein- schränkt. Selbstverständlich muss der Energiespeicher auch sicher sein. Gut ein Jahr ist nun- zellen hatten dazu geführt, dass in mehreren Flugzeugen der Energiespeicher in Flam- men aufging. Ein

Vollmer, Heribert

211

L E I B N I Z U N I V E R S I T T H A N N O V E RN E U E M A T E R I A L I E N Ionen und Autos  

E-Print Network (OSTI)

Entwicklung leistungs- fähiger Energiespeicher. WAS DIE MOBILIT?T VON ELEKTROAUTOS MIT DER MOBILIT?T VON wieder ein- schränkt. Selbstverständlich muss der Energiespeicher auch sicher sein. Gut ein Jahr ist nun- zellen hatten dazu geführt, dass in mehreren Flugzeugen der Energiespeicher in Flam- men aufging. Ein

Vollmer, Heribert

212

technische universitt Prof. Dr. Katharina Morik  

E-Print Network (OSTI)

-DM Standard ! CRoss Industry Standard Process for Data Mining ! Initiative begann September 1996 ! Gefördert Mining Success Criteria Produce Project Plan Project Plan Initial Asessment of Tools and Techniques Assessment of Data Mining Results w.r.t. Business Success Criteria Approved Models Review Process Review

Morik, Katharina

213

Involvement of Alpha-PAK-Interacting Exchange Factor in the PAK1c-Jun NH2-Terminal Kinase 1 Activation and Apoptosis Induced by Benzo[a]pyrene  

Science Journals Connector (OSTI)

...cigarette smoke and diesel exhaust and are thought...infer that GEFs in general may be closely involved...by PCR (30 and 25 cycles for aPIX and b-actin...Shalloway Cell cycle-dependent activation...products such as diesel exhaust and cigarette...Carcinogens 0 Cell Cycle Proteins 0 DNA...

Shigeto Yoshii; Masamitsu Tanaka; Yoshiro Otsuki; Toshiharu Fujiyama; Hideki Kataoka; Hajime Arai; Hiroyuki Hanai; Haruhiko Sugimura

2001-10-01T23:59:59.000Z

214

The N-Terminal Domains of Vps3 and Vps8 Are Critical for Localization and Function of the CORVET Tethering  

E-Print Network (OSTI)

the membrane and the cytosol, where they are bound to the chaperone GDP-dissociation inhibitor (GDI). Recruitment of Rabs seems to require factors that displace the GDI, termed GDP displacement factor (GDF that their GEF activity is sufficient to displace GDI [5]. For fusion, Rabs interact with effectors

Ungermann, Christian

215

Cellular/Molecular Retinal ON Bipolar Cells Express a New PCP2 Splice Variant  

E-Print Network (OSTI)

nucleotide exchange factor. Key words: PCP2; retina; ON bipolar; GoLoco; GEF; GDI Introduction Heterotrimeric inhibitors (GDIs) inhibit the release of GDP from G (for review, see Siderovski and Willard, 2005). The GDI. An intriguing member of the GDI modulators is Purkinje cell protein-2 (PCP2) (also called L7 or GPSM4), which

Pennsylvania, University of

216

Current Status of Concentrator Photovoltaic (CPV) Technology  

SciTech Connect

This report describes the current status of the market and technology for concentrator photovoltaic (CPV) cells and modules. Significant progress in CPV has been achieved, including record efficiencies for modules (36.7%) and cells (46%), as well as growth of large field installations in recent years. CPV technology may also have the potential to be cost-competitive on a levelized cost of energy (LCOE) basis in regions of high direct normal irradiance (DNI). The study includes an overview of all installations larger than 1 MW, information on companies currently active in the CPV field, efficiency data, and estimates of the LCOE in different scenarios.

Philipps, S. P.; Bett, A. W.; Horowitz, K.; Kurtz, S.

2015-01-01T23:59:59.000Z

217

Comparison of numerical weather prediction solar irradiance forecasts in the US, Canada and Europe  

Science Journals Connector (OSTI)

Abstract This article combines and discusses three independent validations of global horizontal irradiance (GHI) multi-day forecast models that were conducted in the US, Canada and Europe. All forecast models are based directly or indirectly on numerical weather prediction (NWP). Two models are common to the three validation efforts the ECMWF global model and the GFS-driven WRF mesoscale model and allow general observations: (1) the GFS-based WRF- model forecasts do not perform as well as global forecast-based approaches such as ECMWF and (2) the simple averaging of models output tends to perform better than individual models.

Richard Perez; Elke Lorenz; Sophie Pelland; Mark Beauharnois; Glenn Van Knowe; Karl Hemker Jr.; Detlev Heinemann; Jan Remund; Stefan C. Mller; Wolfgang Traunmller; Gerald Steinmauer; David Pozo; Jose A. Ruiz-Arias; Vicente Lara-Fanego; Lourdes Ramirez-Santigosa; Martin Gaston-Romero; Luis M. Pomares

2013-01-01T23:59:59.000Z

218

Data:Aec1b06a-a6cd-4576-9cbd-8e8e5b312352 | Open Energy Information  

Open Energy Info (EERE)

Aec1b06a-a6cd-4576-9cbd-8e8e5b312352 Aec1b06a-a6cd-4576-9cbd-8e8e5b312352 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Dover, Delaware (Utility Company) Effective date: 2008/07/01 End date if known: Rate name: Rate P: Primary Service Sector: Industrial Description: This rate is subject to the Purchase Power Clause. This rate is subject to the "GEF" Rider. Note: The Flat rate Adjustments entered here is the "Delaware Green Energy Fund Charge" located within the Green Energy Fund (GEF) Rider. Source or reference: Rates Binder B Source Parent: Comments Applicability

219

Nepal | OpenEI  

Open Energy Info (EERE)

Nepal Nepal Dataset Summary Description (Abstract): Wind, biomass, bio-gas, photovoltaic and small hydro renewable energy technologies in Nepal (Purpose): SWERA Documentation Source Alternate Energy Promotion Centre Date Released December 02nd, 2003 (11 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords biomass documentation GEF Nepal renewable energy small hydro solar SWERA UNEP wind Data application/pdf icon Download Document (pdf, 1.6 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2002 License License Other or unspecified, see optional comment below Comment Please cite publication as follows: AEPC,2003. Nepal: Applications of Renewable Energy Technologies, Alternate Energy Promotion Centre, Nepal. GEF UNEP SWERA. Available from http://swera.unep.net on 2 December 2003.

220

Nepal: Applications of Renewable Energy Technologies | OpenEI  

Open Energy Info (EERE)

Nepal: Applications of Renewable Energy Technologies Nepal: Applications of Renewable Energy Technologies Dataset Summary Description (Abstract): Wind, biomass, bio-gas, photovoltaic and small hydro renewable energy technologies in Nepal (Purpose): SWERA Documentation Source Alternate Energy Promotion Centre Date Released December 02nd, 2003 (10 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords biomass documentation GEF Nepal renewable energy small hydro solar SWERA UNEP wind Data application/pdf icon Download Document (pdf, 1.6 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2002 License License Other or unspecified, see optional comment below Comment Please cite publication as follows: AEPC,2003. Nepal: Applications of Renewable Energy Technologies, Alternate Energy Promotion Centre, Nepal. GEF UNEP SWERA. Available from http://swera.unep.net on 2 December 2003.

Note: This page contains sample records for the topic "dni gef ghi" 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

Data:Aaedcabd-e823-469d-8442-2de2dd396b69 | Open Energy Information  

Open Energy Info (EERE)

Aaedcabd-e823-469d-8442-2de2dd396b69 Aaedcabd-e823-469d-8442-2de2dd396b69 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Dover, Delaware (Utility Company) Effective date: 2008/07/01 End date if known: Rate name: Rate C: Small Commercial, Single Phase Sector: Commercial Description: This rate is subject to the Purchase Power Clause. This rate is subject to the "GEF" Rider. Note: The Flat rate Adjustments entered here is the "Delaware Green Energy Fund Charge" located within the Green Energy Fund (GEF) Rider. Source or reference: Rates Binder B Source Parent: Comments

222

Data:0ad066b4-df3a-4c24-b70d-b3671d22b56e | Open Energy Information  

Open Energy Info (EERE)

6b4-df3a-4c24-b70d-b3671d22b56e 6b4-df3a-4c24-b70d-b3671d22b56e No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Dover, Delaware (Utility Company) Effective date: 2008/07/01 End date if known: Rate name: Rate R: Residential Sector: Residential Description: This rate is subject to the Purchase Power Clause. This rate is subject to the "GEF" Rider. Note: The Flat rate Adjustments entered here is the "Delaware Green Energy Fund Charge" located within the Green Energy Fund (GEF) Rider. Source or reference: Rates Binder B Source Parent: Comments Applicability Demand (kW)

223

Overview of the United Nations Environment Programme's Solar and Wind  

Open Energy Info (EERE)

Overview of the United Nations Environment Programme's Solar and Wind Overview of the United Nations Environment Programme's Solar and Wind Energy Resource Assessment (SWERA) Project Dataset Summary Description (Abstract): Project overview describing rationale, products and partners of the UNEP/GEF Solar and Wind Energy Resource Assessment project. (Purpose): Project overview for presentation at the Asia regional meeting at the Second International Conference on Renewable Energy Technology for Rural Development (RETRUD-03) in Katmandu on 12-14 October 2003 Source NREL Date Released October 14th, 2003 (11 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords GEF solar SWERA UNEP United Nations wind Data application/zip icon Download Presentation (zip, 5 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

224

Bangladesh | OpenEI  

Open Energy Info (EERE)

Bangladesh Bangladesh Dataset Summary Description (Abstract): Three case studies in (1) Solar market electrification, (2) Wind-solar hybrid system in Kuakata Sea Beach and (3) Micro hydro power plant of Aung Thuwi Khoi. (Purpose): SWERA Documentation Source Renewable Energy Research Centre Date Released December 02nd, 2003 (10 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords Bangladesh case studies documentation GEF renewable energy small hydro solar SWERA UNEP wind Data application/pdf icon Download Document (pdf, 566.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2002 License License Other or unspecified, see optional comment below Comment Please cite publication as follows: RERC,2003. Utilization of Renewables in Bangladesh: Case Studies. Renewable Energy Research Centre, Dhaka University, Bangladesh. GEF UNEP SWERA. Available from http://swera.unep.net on 2 December 2003.

225

Data:0747256b-d157-4269-aa1c-a5cfc88c56fc | Open Energy Information  

Open Energy Info (EERE)

56b-d157-4269-aa1c-a5cfc88c56fc 56b-d157-4269-aa1c-a5cfc88c56fc No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Dover, Delaware (Utility Company) Effective date: 2008/07/01 End date if known: Rate name: Rate C3: Medium Commercial, Three Phase Sector: Commercial Description: This rate is subject to the Purchase Power Clause. This rate is subject to the "GEF" Rider. Note: The Flat rate Adjustments entered here is the "Delaware Green Energy Fund Charge" located within the Green Energy Fund (GEF) Rider. Source or reference: Rates Binder B Source Parent: Comments Applicability

226

Data:Bcb98367-8669-436a-8fa0-605589477d1e | Open Energy Information  

Open Energy Info (EERE)

8367-8669-436a-8fa0-605589477d1e 8367-8669-436a-8fa0-605589477d1e No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Dover, Delaware (Utility Company) Effective date: 2008/07/01 End date if known: Rate name: Rate C5: Large Commercial Sector: Industrial Description: This rate is subject to the Purchase Power Clause. This rate is subject to the "GEF" Rider. Note: The Flat rate Adjustments entered here is the "Delaware Green Energy Fund Charge" located within the Green Energy Fund (GEF) Rider. Source or reference: Rates Binder B Source Parent: Comments Applicability Demand (kW)

227

Republic of Macedonia-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

Macedonia-World Bank Climate Projects Macedonia-World Bank Climate Projects Jump to: navigation, search Name Republic of Macedonia-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy Topics Background analysis Website http://web.worldbank.org/exter Country Republic of Macedonia UN Region Southern Europe References World Bank-Macedonia[1] World Bank Active Climate Projects in the Republic of Macedonia Sustainable Energy GEF Project Sustainable Energy GEF Project "The development objective of the Sustainable Energy Project of the Former Yugoslav Republic of Macedonia is to develop a sustainable market for energy efficiency (EE) and renewable energy (RE) by supporting the development of an enabling framework, institutional capacity, and necessary

228

Data:A8edd33d-cd19-446a-ad48-9d94bcb85a2a | Open Energy Information  

Open Energy Info (EERE)

edd33d-cd19-446a-ad48-9d94bcb85a2a edd33d-cd19-446a-ad48-9d94bcb85a2a No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Dover, Delaware (Utility Company) Effective date: 2008/07/01 End date if known: Rate name: Rate C1: Small Commercial, Three Phase Sector: Commercial Description: This rate is subject to the Purchase Power Clause. This rate is subject to the "GEF" Rider. Note: The Flat rate Adjustments entered here is the "Delaware Green Energy Fund Charge" located within the Green Energy Fund (GEF) Rider. Source or reference: Rates Binder B Source Parent: Comments

229

Utilization of Renewables in Bangladesh: Case Studies | OpenEI  

Open Energy Info (EERE)

Utilization of Renewables in Bangladesh: Case Studies Utilization of Renewables in Bangladesh: Case Studies Dataset Summary Description (Abstract): Three case studies in (1) Solar market electrification, (2) Wind-solar hybrid system in Kuakata Sea Beach and (3) Micro hydro power plant of Aung Thuwi Khoi. (Purpose): SWERA Documentation Source Renewable Energy Research Centre Date Released December 02nd, 2003 (11 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords Bangladesh case studies documentation GEF renewable energy small hydro solar SWERA UNEP wind Data application/pdf icon Download Document (pdf, 566.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2002 License License Other or unspecified, see optional comment below Comment Please cite publication as follows: RERC,2003. Utilization of Renewables in Bangladesh: Case Studies. Renewable Energy Research Centre, Dhaka University, Bangladesh. GEF UNEP SWERA. Available from http://swera.unep.net on 2 December 2003.

230

United Nations | OpenEI  

Open Energy Info (EERE)

Nations Nations Dataset Summary Description (Abstract): Project overview describing rationale, products and partners of the UNEP/GEF Solar and Wind Energy Resource Assessment project. (Purpose): Project overview for presentation at the Asia regional meeting at the Second International Conference on Renewable Energy Technology for Rural Development (RETRUD-03) in Katmandu on 12-14 October 2003 Source NREL Date Released October 14th, 2003 (11 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords GEF solar SWERA UNEP United Nations wind Data application/zip icon Download Presentation (zip, 5 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 1997 License License Other or unspecified, see optional comment below

231

Data:0179f33c-f67a-4acb-8b07-0db043d2b527 | Open Energy Information  

Open Energy Info (EERE)

f33c-f67a-4acb-8b07-0db043d2b527 f33c-f67a-4acb-8b07-0db043d2b527 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Dover, Delaware (Utility Company) Effective date: 2008/07/01 End date if known: Rate name: Rate OL: Outdoor Development Lighting Sector: Lighting Description: This rate is subject to the Purchase Power Clause. This rate is subject to the "GEF" Rider. Note: The Flat rate Adjustments entered here is the "Delaware Green Energy Fund Charge" located within the Green Energy Fund (GEF) Rider. Source or reference: Rates Binder B Source Parent: Comments Applicability

232

Armenia-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

World Bank Climate Projects World Bank Climate Projects Jump to: navigation, search Name Armenia-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy, Geothermal Topics Background analysis Website http://web.worldbank.org/exter Country Armenia Western Asia References World Bank-Armenia [1] Contents 1 World Bank Active Climate Projects in Armenia 1.1 GEOFUND 2: Armenia Geothermal Project 1.2 Renewable Energy Project 1.3 Renewable Energy GEF Project 2 References World Bank Active Climate Projects in Armenia GEOFUND 2: Armenia Geothermal Project Renewable Energy Project Renewable Energy GEF Project GEOFUND 2: Armenia Geothermal Project "The objective of the Second GeoFund Geothermal Project for Armenia is to

233

case studies | OpenEI  

Open Energy Info (EERE)

case studies case studies Dataset Summary Description (Abstract): Three case studies in (1) Solar market electrification, (2) Wind-solar hybrid system in Kuakata Sea Beach and (3) Micro hydro power plant of Aung Thuwi Khoi. (Purpose): SWERA Documentation Source Renewable Energy Research Centre Date Released December 02nd, 2003 (10 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords Bangladesh case studies documentation GEF renewable energy small hydro solar SWERA UNEP wind Data application/pdf icon Download Document (pdf, 566.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2002 License License Other or unspecified, see optional comment below Comment Please cite publication as follows: RERC,2003. Utilization of Renewables in Bangladesh: Case Studies. Renewable Energy Research Centre, Dhaka University, Bangladesh. GEF UNEP SWERA. Available from http://swera.unep.net on 2 December 2003.

234

Data:D5841140-4628-41fc-806b-c7fac01d4edd | Open Energy Information  

Open Energy Info (EERE)

41140-4628-41fc-806b-c7fac01d4edd 41140-4628-41fc-806b-c7fac01d4edd No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Dover, Delaware (Utility Company) Effective date: 2008/07/01 End date if known: Rate name: Rate C2: Medium Commercial, Single Phase Sector: Commercial Description: This rate is subject to the Purchase Power Clause. This rate is subject to the "GEF" Rider. Note: The Flat rate Adjustments entered here is the "Delaware Green Energy Fund Charge" located within the Green Energy Fund (GEF) Rider. Source or reference: Rates Binder B Source Parent: Comments

235

insert 52005.indd  

Open Energy Info (EERE)

Solar and Wind Energy Solar and Wind Energy Resource Assessment (SWERA) is a US$ 9.3 million Project, co-financed with US$6.8 million from the Global Environment Facility (GEF) and more than 25 institutions around the world. A s energy planners seek cleaner energy solutions using renewable energy technologies, the availability of reliable, accurate, and accessible solar and wind energy information

236

Signal Recognition Particle (SRP) and SRP Receptor: A New Paradigm for Multistate Regulatory GTPases  

Science Journals Connector (OSTI)

Signal Recognition Particle (SRP) and SRP Receptor: A New Paradigm for Multistate Regulatory GTPases ... Abbreviations: GTP, guanosine 5?-triphosphate; GDP, guanosine 5?-diphosphate; SRP, signal recognition particle; SR, signal recognition particle receptor; GEF, guanine nucleotide exchange factor; GAP, GTPase activating protein; IBD, insertion box domain; CME, clathrin-mediated endocytosis; CCP, clathrin-coated pit; CCV, clathrin-coated vesicle; PRD, proline/arginine rich domain. ... Comparison between the classic GTPase switch and the SRP and SR GTPases. ...

Shu-ou Shan; Sandra L. Schmid; Xin Zhang

2009-05-26T23:59:59.000Z

237

Multiple symbol decoding of differential space-time codes  

E-Print Network (OSTI)

2 A 4 ( 1 p2 e|2 kM ; k = 0;1; ;M 1 ) : a2i+1 = a2i: (2.1) De ne the following matrices: A0 4 2 66 4 a0 a1 a 1 a 0 3 77 5 ; Ai 4 2 66 4 a2i a2i+1 a 2i+1 a 2i 3 77 5 ; for i 1; (2.2) Gi 4 AiAH0 : (2.3) 5 It is easy to see that Ai and Gi... are both orthogonal matrices, i.e., AiAHi = AHi Ai = GiGHi = GHi Gi = I2. Hence, given Gi, Ai can be obtained by Ai = GiA0: (2.4) Also, Gi is always an element of a nite set G. Gi 2 G 4 8> >>: 2 66 4 g 0 0 g 3 77 5 ; 2 66 4 0 g g 0 3 77 5 9...

Singhal, Rohit

2004-09-30T23:59:59.000Z

238

Global horizontal irradiance clear sky models : implementation and analysis.  

SciTech Connect

Clear sky models estimate the terrestrial solar radiation under a cloudless sky as a function of the solar elevation angle, site altitude, aerosol concentration, water vapor, and various atmospheric conditions. This report provides an overview of a number of global horizontal irradiance (GHI) clear sky models from very simple to complex. Validation of clear-sky models requires comparison of model results to measured irradiance during clear-sky periods. To facilitate validation, we present a new algorithm for automatically identifying clear-sky periods in a time series of GHI measurements. We evaluate the performance of selected clear-sky models using measured data from 30 different sites, totaling about 300 site-years of data. We analyze the variation of these errors across time and location. In terms of error averaged over all locations and times, we found that complex models that correctly account for all the atmospheric parameters are slightly more accurate than other models, but, primarily at low elevations, comparable accuracy can be obtained from some simpler models. However, simpler models often exhibit errors that vary with time of day and season, whereas the errors for complex models vary less over time.

Stein, Joshua S.; Hansen, Clifford W.; Reno, Matthew J.

2012-03-01T23:59:59.000Z

239

Solar and Wind Energy Resource Assessment (SWERA)  

Open Energy Info (EERE)

Wiki Page Wiki Page Solar and Wind Energy Resource Assessment A United Nations Environment Programme facilitated effort. Getting Started Data Sets Analysis Tools About SWERA Loading.. Country Name Analyze Layer Data in OpenCarto View Country Profile in OpenEI Latitude Longitude Homer XML Get HOMER Data What am I seeing? This visualization shows international solar DNI, wind and climate resources. Click on one of the layer buttons below to view the resource layer. For more detailed information on each country, select the country by clicking it on the map below and then select 'View in OpenCarto' or 'View Country Page in OpenEI' to explore more data for that country. For HOMER, select a point to populate the latitude/longitude or provide your own, then press the button to send this information to HOMER.

240

direct normal | OpenEI  

Open Energy Info (EERE)

normal normal Dataset Summary Description (Abstract): A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, aerosol optical depth, precipitable water vapor, albedo, atmospheric pressure and ozone sampled at a 40km resolution. (Purpose): A visual depiction of solar energy resource for concentrating solar power systems. Source NREL Date Released December 11th, 2003 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Central America direct normal DNI map NREL solar SWERA UNEP Data application/pdf icon Download Map (pdf, 67.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Other or unspecified, see optional comment below

Note: This page contains sample records for the topic "dni gef ghi" 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

WASH-  

Office of Legacy Management (LM)

rcc.p,anc. 01 thts arf~cle. tha rcc.p,anc. 01 thts arf~cle. tha yubl~rhe, "r ~u~~iunl riknouu~adqnS the U.S. C;ov.rnmmnf' s rayhr (0 retam l nOn*aClulive.roy~ltV (r-0 ltconso In ma IO Dny Copvrlqhl WASH- covrrm~ the wtvdo. ISADIOLOGICAL SURVEY OF THE SEAWAY INDUSTRIAL PARK W . D. Cottrell, R. W . Leggett and H. W . Dickson Health Physics Division, Oak Ridge National Laboratory Oak Ridge, Tennessee 37830 December 1976 CONTENTS l&t of Tab1 es - . . . List of Illustrations . . Abstract . . . . . . Introduction . . . . ............ ............ ............ ............ Radiological Survey Techniques . . . . . . 1 . . Measurement of External Gamma and Beta-Gamma Radiation Levels . . . . . . . . . . . . Measurement of Radium in the Soil . . . . . . Measurement of Radioactivity in Surface Water

242

PowerPoint Presentation  

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

Association Association S.2900 Reducing the Electric Power Carbon Footprint October 20, 2010 Richard S. Tuthill, Chair Board of Directors Gas Turbine Association 2 * Alstom Power * Florida Turbine Technologies * General Electric * Rolls Royce * Siemens Energy * Solar Turbines * Strategic Power Systems * United Technologies * Vibro Meter Gas Turbine Association 3 S.2900 * Introduced By Senator Kirsten Gillibrand (D-NY) * Prime Objective is to Fund Ground Power Gas Turbine Technologies - Raise Natural Gas Fired Gas Turbine Efficiencies ○ Phase One - Combined Cycle > 62%, Simple Cycle > 47% ○ Phase Two - Combined Cycle > 65%, Simple Cycle > 50% - Authorizes $340M Over Four Years ($85M per Year) - Combined Cycle, Simple Cycle, CHP, All Engine Sizes * Similar Bill Has Passed the US House (Under Suspension of Rules)

243

Potential of Concentrated Solar Power (CSP) in Zimbabwe  

Science Journals Connector (OSTI)

Abstract This study seeks to assess the potential of utilizing Concentrated Solar Power for electricity generation in Zimbabwe. Data from 26 meteorological stations which are widely distributed around the country was used to map the distribution of solar radiation. Geographic information systems were employed to locate sites with potential for installing concentrating solar power plants. Areas with good potential were identified by using the following assessment factors: direct normal irradiance (DNI), proximity to transmission lines and water bodies, flatness of the area and the vulnerability of vegetation and wild life. After considering all the assessment factors, a total area of 250000km2 was found to be suitable. If only 10% of the suitable land area is used and the technology with the least efficiency (810%) is adopted, about 71.4GW can be generated. The projected power generation is about thirty times the current power demand of the country.

S. Ziuku; L. Seyitini; B. Mapurisa; D. Chikodzi; Koen van Kuijk

2014-01-01T23:59:59.000Z

244

City of Medicine Hat Concentrating Solar Thermal Demonstration Project, Alberta, Canada  

Science Journals Connector (OSTI)

Abstract Following a 2007 conceptual feasibility study on a demonstration project to use renewable energy to supplement the production of electricity in their municipal utility, the city council of Medicine Hat approved and identified funding sources to design and construct a commercially Integrated Solar Combined Cycle demonstration with a capacity of 1 MWe. The demonstration project was undertaken as a step to reduce green house gas emissions, explore the viability of concentrating solar thermal technology under local conditions, and introduce concentrated solar power electricity generation in Alberta, which enjoys the highest solar resource of direct normal irradiance (DNI) in the country. The 203 \\{MWe\\} municipal power plant consists of four combustion turbine (CT)/heat recovery steam generator (HRSG) units feeding superheated steam to two steam turbines. The project is located at a latitude of 50 N. Based on recent satellite evaluations of the DNI resource in Canada, a Typical Meteorological Year was established for project design. The solar field consists of eight SkyTrough (SkyFuel, Arvada, CO) collector assemblies located approximately 400m south of the power plant at a slightly lower elevation. Hot HTF exiting from the solar field is piped down to the power plant, where a solar steam generator (SSG) produces saturated steam for injection into the superheater section of the HRSG of a single CT unit. Permitting, preliminary and detailed design, and procurement tasks are complete. The short construction period started in April 2013 to be completed early Fall 2013 or Spring 2014, followed by commissioning, solar field acceptance testing, and initial operation.

K. MacKenzie; R. Bowers; D. Wacker; R. Drever; A. Jyoti; D. Kearney

2014-01-01T23:59:59.000Z

245

File:NREL-afg-10km-glo.pdf | Open Energy Information  

Open Energy Info (EERE)

glo.pdf glo.pdf Jump to: navigation, search File File history File usage Afghanistan - Annual Global Horizontal Solar Radiation Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 469 KB, MIME type: application/pdf) Title Afghanistan - Annual Global Horizontal Solar Radiation Description Afghanistan - Annual Global Horizontal Solar Radiation Sources National Renewable Energy Laboratory Authors Donna Heimiller Related Technologies Solar, Solar-GHI, Solar-10km Creation Date 2007-06-01 Extent International Countries Afghanistan UN Region Southern Asia File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:30, 14 December 2010 Thumbnail for version as of 15:30, 14 December 2010 1,650 × 1,275 (469 KB) MapBot (Talk | contribs) Automated upload from NREL's "mapsearch" data

246

File:NREL-asia-glo.pdf | Open Energy Information  

Open Energy Info (EERE)

asia-glo.pdf asia-glo.pdf Jump to: navigation, search File File history File usage Selected Asian Countries - Annual Global Horizontal Solar Radiation Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 3.03 MB, MIME type: application/pdf) Title Selected Asian Countries - Annual Global Horizontal Solar Radiation Description Selected Asian Countries - Annual Global Horizontal Solar Radiation Sources National Renewable Energy Laboratory Authors Donna Heimiller Related Technologies Solar, Solar-GHI, Solar-40km Creation Date 2006-07-13 Extent International Countries Bhutan, China, Nepal, Mongolia, India, North Korea, South Korea, Vietnam, Laos, Thailand, Cambodia, Philippines, Bangladesh UN Region Southern Asia, Eastern Asia, South-Eastern Asia

247

Energy Challenge Three: The Greenbelt Green Neighborhood Challenge |  

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

Energy Challenge Three: The Greenbelt Green Neighborhood Challenge Energy Challenge Three: The Greenbelt Green Neighborhood Challenge Energy Challenge Three: The Greenbelt Green Neighborhood Challenge June 21, 2010 - 5:52pm Addthis John Lippert Lore Rosenthal, a principal leader behind the Greenbelt Climate Action Network, attended a meeting in Greenbelt, Maryland, on an energy purchasing cooperative more than a year ago. Also attending the meeting was Lore's neighbor, Sylvia Lewis, on the board of both the Greenbelt Community Foundation (GCF) and Greenbelt Homes, Inc. (GHI). The energy purchasing co-op spokesperson was offering electricity at a lower rate than that offered by PEPCO, our local utility. Lore longed for a similar arrangement-a bulk electricity purchase but with wind energy. She spoke to Sylvia, who thought it was a good idea. Lore

248

global horizontal irradiance | OpenEI  

Open Energy Info (EERE)

horizontal irradiance horizontal irradiance Dataset Summary Description (Abstract): Global Horizontal IrradianceNASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Insolation Incident On A Horizontal Surface (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Note 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords GHI GIS global horizontal irradiance NASA solar

249

File:NREL-brazil-glo.pdf | Open Energy Information  

Open Energy Info (EERE)

glo.pdf glo.pdf Jump to: navigation, search File File history File usage Brazil - Annual Global Horizontal Solar Radiation Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 2.02 MB, MIME type: application/pdf) Title Brazil - Annual Global Horizontal Solar Radiation Description Brazil - Annual Global Horizontal Solar Radiation Sources National Renewable Energy Laboratory Authors Donna Heimiller Related Technologies Solar, Solar-GHI, Solar-10km Creation Date 2006-07-14 Extent International Countries Brazil UN Region South America File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:52, 14 December 2010 Thumbnail for version as of 15:52, 14 December 2010 1,650 × 1,275 (2.02 MB) MapBot (Talk | contribs) Automated upload from NREL's "mapsearch" data

250

Energy Challenge Three: The Greenbelt Green Neighborhood Challenge |  

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

Three: The Greenbelt Green Neighborhood Challenge Three: The Greenbelt Green Neighborhood Challenge Energy Challenge Three: The Greenbelt Green Neighborhood Challenge June 21, 2010 - 5:52pm Addthis John Lippert Lore Rosenthal, a principal leader behind the Greenbelt Climate Action Network, attended a meeting in Greenbelt, Maryland, on an energy purchasing cooperative more than a year ago. Also attending the meeting was Lore's neighbor, Sylvia Lewis, on the board of both the Greenbelt Community Foundation (GCF) and Greenbelt Homes, Inc. (GHI). The energy purchasing co-op spokesperson was offering electricity at a lower rate than that offered by PEPCO, our local utility. Lore longed for a similar arrangement-a bulk electricity purchase but with wind energy. She spoke to Sylvia, who thought it was a good idea. Lore

251

Ethiopia-Facilitating Implementation and Readiness for Mitigation (FIRM) |  

Open Energy Info (EERE)

Ethiopia-Facilitating Implementation and Readiness for Mitigation (FIRM) Ethiopia-Facilitating Implementation and Readiness for Mitigation (FIRM) Jump to: navigation, search Logo: Ethiopia-Facilitating Implementation and Readiness for Mitigation (FIRM) Name Ethiopia-Facilitating Implementation and Readiness for Mitigation (FIRM) Agency/Company /Organization United Nations Environment Programme (UNEP) Partner Global Environment Facility (GEF), Government of Denmark Sector Climate, Energy, Land Topics Adaptation, Co-benefits assessment, - Environmental and Biodiversity, Finance, Implementation, Low emission development planning Website http://www.unep.org/climatecha Program Start 2011 Program End 2013 Country Ethiopia UN Region Central America References Facilitating Implementation and Readiness for Mitigation (FIRM)[1]

252

UNEP-Facilitating Implementation and Readiness for Mitigation (FIRM) | Open  

Open Energy Info (EERE)

UNEP-Facilitating Implementation and Readiness for Mitigation (FIRM) UNEP-Facilitating Implementation and Readiness for Mitigation (FIRM) Jump to: navigation, search Logo: UNEP-Facilitating Implementation and Readiness for Mitigation (FIRM) Name UNEP-Facilitating Implementation and Readiness for Mitigation (FIRM) Agency/Company /Organization United Nations Environment Programme (UNEP) Partner Global Environment Facility (GEF), Government of Denmark Sector Climate, Energy, Land Topics Adaptation, Co-benefits assessment, - Environmental and Biodiversity, Finance, Implementation, Low emission development planning Website http://www.unep.org/climatecha Program Start 2011 References Facilitating Implementation and Readiness for Mitigation (FIRM)[1] "The Government of Denmark will provide US$6 million to the new programme

253

Solar and Wind Energy Resource Assessment (SWERA) | Open Energy Information  

Open Energy Info (EERE)

Energy Resource Assessment (SWERA) Energy Resource Assessment (SWERA) Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Tool Summary LAUNCH TOOL Name: Solar and Wind Energy Resource Assessment Agency/Company /Organization: United Nations Environment Programme Partner: National Renewable Energy Laboratory, German Aerospace Center (DLR), Risoe National Laboratory for Sustainable Energy, Brazil's National Institute for Space Research (INPE), State University of New York (SUNY), Technical University of Denmark (DTU), United Nations Environment Programme (UNEP), National Aeronautics and Space Administration, Global Environment Facility (GEF) Sector: Energy Focus Area: Solar, Wind

254

Facilitating Implementation and Readiness for Mitigation (FIRM) | Open  

Open Energy Info (EERE)

Facilitating Implementation and Readiness for Mitigation (FIRM) Facilitating Implementation and Readiness for Mitigation (FIRM) Jump to: navigation, search Logo: UNEP-Facilitating Implementation and Readiness for Mitigation (FIRM) Name UNEP-Facilitating Implementation and Readiness for Mitigation (FIRM) Agency/Company /Organization United Nations Environment Programme (UNEP) Partner Global Environment Facility (GEF), Government of Denmark Sector Climate, Energy, Land Topics Adaptation, Co-benefits assessment, - Environmental and Biodiversity, Finance, Implementation, Low emission development planning Website http://www.unep.org/climatecha Program Start 2011 Program End 2013 Country Costa Rica, Ethiopia, Ghana, Indonesia, Mexico, Morocco, Senegal, South Africa, Vietnam UN Region Central America References Facilitating Implementation and Readiness for Mitigation (FIRM)[1]

255

DEMEC - Green Energy Fund | Department of Energy  

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

DEMEC - Green Energy Fund DEMEC - Green Energy Fund DEMEC - Green Energy Fund < Back Eligibility Commercial Industrial Municipal Utility Residential Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Solar Buying & Making Electricity Heating & Cooling Commercial Heating & Cooling Heating Water Heating Wind Program Info State Delaware Program Type Public Benefits Fund Provider Delaware Department of Natural Resources and Environmental Control '''''Note: The Green Energy Fund regulations are currently under revision to improve program function and meet the requirements of the Delaware Energy Act. The Delaware Division of Energy and Climate [http://www.dnrec.delaware.gov/energy/services/GreenEnergy/Pages/GEF_Regu... webpage] will provide details about relevant public meetings and workshops,

256

Green Energy Fund | Department of Energy  

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

Green Energy Fund Green Energy Fund Green Energy Fund < Back Eligibility Commercial Industrial Institutional Residential Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Solar Buying & Making Electricity Heating & Cooling Commercial Heating & Cooling Heating Water Heating Wind Program Info State Delaware Program Type Public Benefits Fund Provider Delaware Department of Natural Resources and Environmental Control '''''Note: The Green Energy Fund regulations are currently under revision to improve program function and meet the requirements of the Delaware Energy Act. The Delaware Division of Energy and Climate [http://www.dnrec.delaware.gov/energy/services/GreenEnergy/Pages/GEF_Regu... webpage] will provide details about relevant public meetings and workshops,

257

Costa Rica-Facilitating Implementation and Readiness for Mitigation (FIRM)  

Open Energy Info (EERE)

Costa Rica-Facilitating Implementation and Readiness for Mitigation (FIRM) Costa Rica-Facilitating Implementation and Readiness for Mitigation (FIRM) Jump to: navigation, search Logo: Costa Rica-Facilitating Implementation and Readiness for Mitigation (FIRM) Name Costa Rica-Facilitating Implementation and Readiness for Mitigation (FIRM) Agency/Company /Organization United Nations Environment Programme (UNEP) Partner Global Environment Facility (GEF), Government of Denmark Sector Climate, Energy, Land Topics Adaptation, Co-benefits assessment, - Environmental and Biodiversity, Finance, Implementation, Low emission development planning Website http://www.unep.org/climatecha Program Start 2011 Program End 2013 Country Costa Rica UN Region Central America References Facilitating Implementation and Readiness for Mitigation (FIRM)[1]

258

Microsoft Word - Full report_cover page_colour pages.doc  

Open Energy Info (EERE)

Final Report of Final Report of Solar and Wind Energy Resource Assessment (SWERA) - Bangladesh Supported by: United Nations Environment Programme (UNEP) Global Environment Facility (GEF) Country Partner: Renewable Energy Research Centre (RERC) University of Dhaka Bangladesh Final Report of Solar and Wind Energy Resource Assessment (SWERA) - Bangladesh February 2007 Prepared by - Prof. (retd) Muhtasham Hussain Chief Consultant Solar and Wind Energy Resource Assessment - Bangladesh Renewable Energy Research Centre University of Dhaka & President Bangladesh Solar Energy Society Dhaka, Bangladesh Email: rercdu@yahoo.com Md. Shafiuzzaman Khan Khadem Lecturer, Electronics & Telecommunication Engineering Dept,

259

Hausaufgabe 6: Aufgabe 3-20: Ein 0,12 m-Tank enthlt gesttigtes R-134a bei 800 kPa. Zu Beginn sind  

E-Print Network (OSTI)

Hausaufgabe 6: Aufgabe 3-20: Ein 0,12 m³-Tank enthält gesättigtes R-134a bei 800 kPa. Zu Beginn sind 25% des Tanks mit flüssigem R-134a gefüllt. Der Rest mit gasförmigem R-134a. Ein Ventil am Boden des Tanks wird geöffnet und flüssiges Kühlmittel tritt aus. Von au?en wird dem Kühlmittel Wärme

Peters, Norbert

260

South Africa-Facilitating Implementation and Readiness for Mitigation  

Open Energy Info (EERE)

South Africa-Facilitating Implementation and Readiness for Mitigation South Africa-Facilitating Implementation and Readiness for Mitigation (FIRM) Jump to: navigation, search Logo: South Africa-Facilitating Implementation and Readiness for Mitigation (FIRM) Name South Africa-Facilitating Implementation and Readiness for Mitigation (FIRM) Agency/Company /Organization United Nations Environment Programme (UNEP) Partner Global Environment Facility (GEF), Government of Denmark Sector Climate, Energy, Land Topics Adaptation, Co-benefits assessment, - Environmental and Biodiversity, Finance, Implementation, Low emission development planning Website http://www.unep.org/climatecha Program Start 2011 Program End 2013 Country South Africa UN Region Central America References Facilitating Implementation and Readiness for Mitigation (FIRM)[1]

Note: This page contains sample records for the topic "dni gef ghi" 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.


261

Data:F4b645a6-6f4f-4b62-b093-52279db1b59f | Open Energy Information  

Open Energy Info (EERE)

b645a6-6f4f-4b62-b093-52279db1b59f b645a6-6f4f-4b62-b093-52279db1b59f No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Dover, Delaware (Utility Company) Effective date: End date if known: Rate name: Rate: FP, Water Pump Service Sector: Commercial Description: "AVAILABILITY: This rate is available throughout the City of Dover electric service area for water pumps used for emergency fire fighting purposes and related equipment." This rate is subject to the Purchase Power Clause. This rate is subject to the "GEF" Rider. Note: The Flat rate Adjustments entered here is the "Delaware Green Energy Fund Charge" located within the Green Energy Fund (GEF) Rider.

262

SWERA/About | Open Energy Information  

Open Energy Info (EERE)

About About < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) About SWERAPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA About SWERA History The Solar and Wind Energy Resource Assessment (SWERA) started in 2001 to advance the large scale use of renewable energy technologies by increasing the availability and accessibility of high quality solar and wind resource information. SWERA began as a pilot project with funding from the Global Environment Facility (GEF) and managed by the United Nations Environment Programme's (UNEP) Division of Technology, Industry and Economics (DTIE) in collaboration with more than 25 partners around the world. With the success of the project in 13 pilot countries SWERA expanded in 2006 into a

263

Sri Lanka | OpenEI  

Open Energy Info (EERE)

Sri Lanka Sri Lanka Dataset Summary Description (Abstract): 50 m wind power density (W/m2) maps of Sri Lanka (Purpose): To provide information on the wind resource potential within Sri Lanka, with supplemental information on political boundaries, transmission lines, roads, and terrain relief. Source NREL Date Released June 30th, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS maps NREL Sri Lanka SWERA UNEP wind Data application/zip icon Download Maps (zip, 799.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

264

maps | OpenEI  

Open Energy Info (EERE)

maps maps Dataset Summary Description (Abstract): 50 m wind power density (W/m2) maps of Sri Lanka (Purpose): To provide information on the wind resource potential within Sri Lanka, with supplemental information on political boundaries, transmission lines, roads, and terrain relief. Source NREL Date Released June 30th, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS maps NREL Sri Lanka SWERA UNEP wind Data application/zip icon Download Maps (zip, 799.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

265

Morocco-Facilitating Implementation and Readiness for Mitigation (FIRM) |  

Open Energy Info (EERE)

Morocco-Facilitating Implementation and Readiness for Mitigation (FIRM) Morocco-Facilitating Implementation and Readiness for Mitigation (FIRM) Jump to: navigation, search Logo: Morocco-Facilitating Implementation and Readiness for Mitigation (FIRM) Name Morocco-Facilitating Implementation and Readiness for Mitigation (FIRM) Agency/Company /Organization United Nations Environment Programme (UNEP) Partner Global Environment Facility (GEF), Government of Denmark Sector Climate, Energy, Land Topics Adaptation, Co-benefits assessment, - Environmental and Biodiversity, Finance, Implementation, Low emission development planning Website http://www.unep.org/climatecha Program Start 2011 Program End 2013 Country Morocco UN Region Central America References Facilitating Implementation and Readiness for Mitigation (FIRM)[1] "The Government of Denmark will provide US$6 million to the new programme

266

solar radiation | OpenEI  

Open Energy Info (EERE)

radiation radiation Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Source NREL Date Released January 31st, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords atmospheric water vapor Carribean Central America GEF. latitude tilt GIS Mexico NREL solar solar radiation SWERA TILT UNEP Data application/zip icon Download Shapefile (zip, 241.3 KiB)

267

Technical Report - Central America Wind Energy Resource Assessment | OpenEI  

Open Energy Info (EERE)

Central America Wind Energy Resource Assessment Central America Wind Energy Resource Assessment Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for the region of Central America that includes the countries of Belize, El Salvador, Guatemala, Honduras, and Nicaragua. (Purpose): To provide information on the wind resource potential within the following countries in Central America: Belize, El Salvador, Guatemala, Honduras, and Nicaragua. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords Central America documentation GEF NREL SWERA UNEP wind Data application/pdf icon Download Report (pdf, 60.9 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

268

Hydrogen & Fuel Cells | Department of Energy  

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

Green Energy Fund Green Energy Fund '''''Note: The Green Energy Fund regulations are currently under revision to improve program function and meet the requirements of the Delaware Energy Act. The Delaware Division of Energy and Climate [http://www.dnrec.delaware.gov/energy/services/GreenEnergy/Pages/GEF_Regu... webpage] will provide details about relevant public meetings and workshops, proposed draft regulations, and other documents during the regulatory revision process.''''' October 16, 2013 Green Energy Act (Ontario, Canada) The Green Energy Act was created to expand Ontario's production of renewable energy, encourage energy conservation and promote the creation of clean-energy green jobs. The act aims to expand Ontario's renewable energy production and create clean-energy jobs by:

269

Print  

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

Fungi play key roles in DOE- Fungi play key roles in DOE- relevant missions of bioenergy production, bioremediation and carbon cycling. In bioenergy proj- ects alone, for example, fungal genome data have been used not only to ensure the health of crops that serve as biomass feedstocks but also provide enzymes that can break down the biomass as well as help convert it to transportation fuel. The DOE JGI has developed a Fungal Genomics Program headed by Igor Grigoriev. The program's first project, launched October 1, is the Genome Encyclopedia of Fungi (GEF). The program aims to explore fungi's ecological diversity and breadth across the Tree of Life for DOE-relevant science and applications. DOE JGI pioneered sequenc- ing and analysis of several fungi important for lignocellu- lose degradation, enzyme pro-

270

small hydro | OpenEI  

Open Energy Info (EERE)

03 03 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278803 Varnish cache server small hydro Dataset Summary Description (Abstract): Three case studies in (1) Solar market electrification, (2) Wind-solar hybrid system in Kuakata Sea Beach and (3) Micro hydro power plant of Aung Thuwi Khoi. (Purpose): SWERA Documentation Source Renewable Energy Research Centre Date Released December 02nd, 2003 (11 years ago) Date Updated October 20th, 2007 (7 years ago) Keywords Bangladesh case studies documentation GEF renewable energy small hydro solar SWERA UNEP wind Data application/pdf icon Download Document (pdf, 566.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

271

Wind: wind speed and wind power density maps at 10m and 50m above surface  

Open Energy Info (EERE)

maps at 10m and 50m above surface maps at 10m and 50m above surface and 0.25 degree resolution for global oceans from NREL Dataset Summary Description (Abstract): Raster GIS ASCII data files of wind speed and wind power density at 10 and 50 m heights. Global data of offshore wind resource as generated by NASA's QuikSCAT SeaWinds scatterometer. (Purpose): To provide information on the wind resource potential of offshore areas. Source NREL Date Released December 31st, 2005 (9 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS NASA NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 36.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2000 - 2004 License License Other or unspecified, see optional comment below

272

latitutde tilt irradiance | OpenEI  

Open Energy Info (EERE)

latitutde tilt irradiance latitutde tilt irradiance Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for Bangladesh. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Source NREL Date Released April 12th, 2005 (9 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords atmospheric water vapor GEF GIS latitutde tilt irradiance NREL solar SWERA TILT UNEP Data text/csv icon Download Data (csv, 35.5 KiB) application/zip icon Download Shapefile (zip, 26.7 KiB) Quality Metrics

273

Mexico-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

World Bank Climate Projects World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy Focus Area Energy Efficiency, Renewable Energy, Transportation Topics Market analysis, Background analysis Resource Type Dataset Country Mexico Central America References World Bank Project Database - Mexico [1] Contents 1 Active World Bank climate projects in Mexico including 1.1 Urban Transport Transformation 1.2 Efficient Lighting and Appliances 1.3 Sustainable Transport and Air Quality 1.4 Sustainable Rural - IBRD 1.5 Sustainable Rural Development - GEF 1.6 Mexico Framework for Green Growth Development Policy Loan 1.7 Mexico Environmental Sustainability Development Policy Loan 2 References Active World Bank climate projects in Mexico including Urban Transport Transformation (180M Pipeline)

274

Event:Lighting Our Path: The Philips Experience in Promoting Advanced  

Open Energy Info (EERE)

Path: The Philips Experience in Promoting Advanced Path: The Philips Experience in Promoting Advanced Lighting Technologies Jump to: navigation, search Calendar.png Lighting Our Path: The Philips Experience in Promoting Advanced Lighting Technologies: 12:30-2:00 Eastern Time on 2011/05/11 David Rodgers of the Global Environment Facility (GEF) would like to make you all aware of the event below titled Lighting Our Path: The Philips Experience in Promoting Advanced Lighting Technologies to be held next Weds. May 11. Event Details Name Lighting Our Path: The Philips Experience in Promoting Advanced Lighting Technologies Date 2011/05/11 Time 12:30-2:00 Eastern Time Location Washington, District of Columbia Organizer Global Environment Facility Tags CLEAN, LEDS Website Event Website Ret LikeLike UnlikeLike You like this.Sign Up to see what your friends like.

275

Nicaragua | OpenEI  

Open Energy Info (EERE)

Nicaragua Nicaragua Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. Source NREL Date Released October 31st, 2005 (9 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords CNE GEF Geospatial Toolkit GIS Nicaragua NREL SUNY SWERA UNEP Data application/zip icon Download Executable Toolkit & Documentation (zip, 42.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2005 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote

276

Carribean | OpenEI  

Open Energy Info (EERE)

Carribean Carribean Dataset Summary Description (Abstract): Monthly Average Diffuse Solar Resource for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar radiation for the data domain. The insolation values represent the average solar energy available at a shaded location. This can be of value for day-lighting or other building applications. The data can be combined with other data (global horizontal, direct normal) to estimate the global radiation on different surfaces. Source NREL Date Released January 31st, 2004 (10 years ago) Date Updated November 30th, 2007 (7 years ago) Keywords Carribean Central America diffuse radiation GEF GIS Mexico NREL solar SWERA Data application/zip icon Download Shapefile (zip, 245.7 KiB)

277

Grid Renewable Energy-Legal Documents | Open Energy Information  

Open Energy Info (EERE)

Grid Renewable Energy-Legal Documents Grid Renewable Energy-Legal Documents Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Grid Renewable Energy-Legal Documents Agency/Company /Organization: World Bank Sector: Energy Focus Area: Renewable Energy Topics: Policies/deployment programs Website: web.worldbank.org/WBSITE/EXTERNAL/TOPICS/EXTENERGY2/EXTRENENERGYTK/0,, References: Grid Renewable Energy-Legal Documents[1] Resources Legal and Regulatory Framework for Wind Power in Russia, Final Report, Executive Summary, ZAO Lidesm, Princeton Energy Resource International, LLC, CMT Consulting, LLC, and Morse Associates, Inc. Legal and Regulatory Framework for Windpower in Russia, Global Environment Facility and International Finance Corporation (GEF/IFC), Wind Power Tariffs, ZAO Lidesm, Princeton Energy Resource International, LLC,

278

Wind: wind power density maps at 50 m above ground and 1km resolution for  

Open Energy Info (EERE)

Cuba from NREL Cuba from NREL Dataset Summary Description (Abstract): Raster GIS data, 50 m wind power density for Cuba. (Purpose): To provide information on the wind resource potential in Cuba. Source NREL Date Released September 02nd, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Cuba GEF GIS maps NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 839.7 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments

279

Cuba | OpenEI  

Open Energy Info (EERE)

Cuba Cuba Dataset Summary Description (Abstract): Raster GIS data, 50 m wind power density for Cuba. (Purpose): To provide information on the wind resource potential in Cuba. Source NREL Date Released September 02nd, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Cuba GEF GIS maps NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 839.7 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments

280

Wind: wind power density maps at 50m above ground and 1km resolution for  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Raster GIS data, 50 m wind power density for Ghana. (Purpose): To provide information on the wind resource potential in Ghana. Source NREL Date Released September 02nd, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF Ghana GIS maps NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 661.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote

Note: This page contains sample records for the topic "dni gef ghi" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
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281

ESCO Industry in China  

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

ESCO Development in ESCO Development in China China-America EE Forum 2011.5.6, S.F Contents Fast development 1 Great potential 2 Opportunities & Challenges 3 Function of EMCA 4 China Energy Conservation project  Officially started in 1998;  It is a key international cooperation project in the field of energy conservation by Chinese government and World Bank/GEF;  The main purpose of the project is to promote Energy Performance Contracting (EPC) mechanism and develop ESCO industry in China Project progress-1 st phase 3 pilot ESCOs: Beijing Liaoning Shandong Phase I EC information Dissemination Center(ECIDC) Project progress-2 nd phase EMCA Phase II I& G New and Potential ESCOs Technical support Financial support Project Progress- 2 nd Phase EMCA---provide practical technical

282

Brazil-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

Brazil-World Bank Climate Projects Brazil-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy, Transportation Topics Finance, Background analysis Website http://web.worldbank.org/exter Country Brazil UN Region Latin America and the Caribbean References World Bank Project Database-Brazil[1] Contents 1 World Bank Active Climate Projects in Brazil 1.1 Sao Paulo Metro Line 5 Project 1.2 BR-GEF Sustainable Transport and Air Quality Project (STAQ) 1.3 First Programmatic Development Policy Loan for Sustainable Environmental Management 1.4 BR Nova Gerar Carbon Finance and Solid Waste Management Project II 1.5 BR Lages Woodwaste Cogeneration 1.6 PCF Sugar Bagasse Cogeneration Project 1.7 Nova Gerar Landfill Rio de Janeiro

283

Ghana | OpenEI  

Open Energy Info (EERE)

Ghana Ghana Dataset Summary Description (Abstract): Raster GIS data, 50 m wind power density for Ghana. (Purpose): To provide information on the wind resource potential in Ghana. Source NREL Date Released September 02nd, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF Ghana GIS maps NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 661.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments

284

infosheet  

Open Energy Info (EERE)

Overview Overview As energy planners seek cleaner energy solutions using renewable energy technologies, the availability of reliable, accurate, and easily accessible solar and wind energy resource data is critical and can greatly accelerate the deployment of these technologies. The Solar and Wind Energy Resource Assessment (SWERA) is a pilot project designed to compile such data in 13 developing countries and to facilitate investments in solar and wind energy projects. With a US$9.3 million investment including US$6.8 million from the Global Environment Facility (GEF), SWERA is developing new informational tools for energy planners and project developers. These tools include regional and national maps of solar and wind energy resources and a geographical information system (GIS)

285

Vietnam-Facilitating Implementation and Readiness for Mitigation (FIRM) |  

Open Energy Info (EERE)

Vietnam-Facilitating Implementation and Readiness for Mitigation (FIRM) Vietnam-Facilitating Implementation and Readiness for Mitigation (FIRM) Jump to: navigation, search Logo: Vietnam-Facilitating Implementation and Readiness for Mitigation (FIRM) Name Vietnam-Facilitating Implementation and Readiness for Mitigation (FIRM) Agency/Company /Organization United Nations Environment Programme (UNEP) Partner Global Environment Facility (GEF), Government of Denmark Sector Climate, Energy, Land Topics Adaptation, Co-benefits assessment, - Environmental and Biodiversity, Finance, Implementation, Low emission development planning Website http://www.unep.org/climatecha Program Start 2011 Program End 2013 Country Vietnam UN Region Central America References Facilitating Implementation and Readiness for Mitigation (FIRM)[1] "The Government of Denmark will provide US$6 million to the new programme

286

Solar and Wind Energy Resource Assessment (SWERA) | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » Solar and Wind Energy Resource Assessment (SWERA) (Redirected from SWERA) Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Tool Summary LAUNCH TOOL Name: Solar and Wind Energy Resource Assessment Agency/Company /Organization: United Nations Environment Programme Partner: National Renewable Energy Laboratory, German Aerospace Center (DLR), Risoe National Laboratory for Sustainable Energy, Brazil's National Institute for Space Research (INPE), State University of New York (SUNY), Technical University of Denmark (DTU), United Nations Environment Programme (UNEP), National Aeronautics and Space Administration, Global Environment Facility (GEF)

287

El Salvador | OpenEI  

Open Energy Info (EERE)

El Salvador El Salvador Dataset Summary Description (Abstract): Methodology utilizes historical ground data that was digitized from analogue strip charts. The spatial distribution was modeled using vegetation type. (Purpose): Historical records have been revived and a ground based method elaborated. (Supplemental Information): Please contact Ismael Sanchez at Universidad Centroamericana (UCA) regarding the report and analysis. Source UCA Date Released August 31st, 2005 (9 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords América Latina documentation El Salvador GEF solar SWERA UNEP Data application/pdf icon Download Report (pdf, 13.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2005 License

288

India-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

India-World Bank Climate Projects India-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy Topics Background analysis Country India Southern Asia References World Bank project database[1] Contents 1 World Bank Active Climate Projects in India 1.1 INDIA - Financing Energy Efficiency at SMEs 1.2 Karnataka Wind 1.3 Street Lighting Energy Efficiency 1.4 Sustainable Urban Transport Project 1.5 Karnataka Municipal Water Energy Efficiency Project 1.6 Sustainable Rural Livelihoods and Security through Innovations in Land and Ecosystem Mgmt /Additional GEF financing to India NAIP 1.7 Chiller Energy Efficiency 1.8 INDIA Chiller Energy Effiency Carbon Finance Operation 1.9 Coal-Fired Generation Rehabilitation 1.10 India - Chiller Energy Efficiency Project - MP Component

289

Honduras | OpenEI  

Open Energy Info (EERE)

Honduras Honduras Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. Source NREL Date Released October 31st, 2005 (9 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords GEF Geospatial Toolkit Honduras NREL SUNY SWERA UNEP Data application/zip icon Download Executable Toolkit & Documentation (zip, 63.8 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2005 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote

290

meteorologic | OpenEI  

Open Energy Info (EERE)

meteorologic meteorologic Dataset Summary Description (Abstract): A data set of hourly values of solar radiation and meteorological elements for a 1-year period. (Purpose): Simulations Source NREL Date Released August 02nd, 2004 (10 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords GEF meteorologic NREL Sri Lanka SWERA TMY UNEP Data application/zip icon Download Data (zip, 2.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 1973 - 2002 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote

291

Determinación del potencial solar y eólico en El Salvador | OpenEI  

Open Energy Info (EERE)

Determinación del potencial solar y eólico en El Salvador Determinación del potencial solar y eólico en El Salvador Dataset Summary Description (Abstract): Methodology utilizes historical ground data that was digitized from analogue strip charts. The spatial distribution was modeled using vegetation type. (Purpose): Historical records have been revived and a ground based method elaborated. (Supplemental Information): Please contact Ismael Sanchez at Universidad Centroamericana (UCA) regarding the report and analysis. Source UCA Date Released August 31st, 2005 (9 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords América Latina documentation El Salvador GEF solar SWERA UNEP Data application/pdf icon Download Report (pdf, 13.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

292

RISO DTU | OpenEI  

Open Energy Info (EERE)

RISO DTU RISO DTU Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. Source NREL Date Released October 31st, 2005 (9 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords Bangladesh DLR GEF Geospatial Toolkit GIS NREL RISO DTU SWERA UNEP Data application/zip icon Download Executable Toolkit & Documentation (zip, 20.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2005 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote

293

SWERA Information Sheet | OpenEI  

Open Energy Info (EERE)

Information Sheet Information Sheet Dataset Summary Description (Abstract): Project Overview As energy planners seek cleaner energy solutions using renewable energy technologies, the availability of reliable, accurate, and easily accessible solar and wind energy resource data is critical and can greatly accelerate the deployment of these technologies. The Solar and Wind Energy Resource Assessment (SWERA) is a pilot project designed to compile such data in 13 developing countries and to facilitate investments in solar and wind energy projects.With a US$9.3 million investment including US$6.8 million from the Global Environment Facility (GEF), SWERA is developing new informational tools for energy planners and project developers. These tools include regional and national maps of solar and wind energyresources and a geographical information system (GIS) that will allow easy access to the detailed information contained in these maps (see box right). These information tools can then be used to screen projects at their pre-investment planning stage.

294

Chile-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

World Bank Climate Projects World Bank Climate Projects Jump to: navigation, search Name Chile-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy Topics Background analysis Resource Type Dataset Country Chile South America References World Bank Project Database - Chile[1] Contents 1 World Bank Active Climate Projects in Chile 1.1 CL Securitization and Carbon Sinks Project 1.2 Chile Santiago Composting Project 1.3 Chile Quilleco Hydropower Project 1.4 Chile Hornitos Project (Chacabuquito II) 1.5 Sustainable Transport and Air Quality for Santiago (GEF) 1.6 Chile Sustainable Land Management Project 2 References World Bank Active Climate Projects in Chile CL Securitization and Carbon Sinks Project Chile Santiago Composting Project Chile Quilleco Hydropower Project

295

Puerto Rico - Green Energy Fund (Puerto Rico) | Department of Energy  

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

Puerto Rico - Green Energy Fund (Puerto Rico) Puerto Rico - Green Energy Fund (Puerto Rico) Puerto Rico - Green Energy Fund (Puerto Rico) < Back Eligibility Commercial General Public/Consumer Industrial Institutional Residential Utility Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Home Weatherization Wind Program Info Program Type Public Benefits Fund Provider Energy Affairs Administration In July 2010, Puerto Rico enacted two important laws aimed at accelerating Puerto Rico's adaptation of renewable energy and to reduce the island's reliance on fossil fuels. This is especially significant since 70% of the island's electricity comes from oil, according to the government of Puerto Rico. Act 83 created the Green Energy Fund (GEF), creating for the first time a

296

QuikScat | OpenEI  

Open Energy Info (EERE)

QuikScat QuikScat Dataset Summary Description (Abstract): Raster GIS ASCII data files of wind speed and wind power density at 10 and 50 m heights. Global data of offshore wind resource as generated by NASA's QuikScat SeaWinds scatterometer. (Purpose): To provide information on the wind resource potential of offshore areas. Source NREL Date Released December 31st, 2005 (8 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS NASA NREL ocean offshore QuikScat SWERA UNEP wind Data application/msword icon Download Documentation (doc, 53.8 KiB) application/zip icon Download Data (zip, 41 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 01/01/2000 - 12/31/2004 License License Open Data Commons Public Domain Dedication and Licence (PDDL)

297

Ghana-Facilitating Implementation and Readiness for Mitigation (FIRM) |  

Open Energy Info (EERE)

Ghana-Facilitating Implementation and Readiness for Mitigation (FIRM) Ghana-Facilitating Implementation and Readiness for Mitigation (FIRM) Jump to: navigation, search Logo: Ghana-Facilitating Implementation and Readiness for Mitigation (FIRM) Name Ghana-Facilitating Implementation and Readiness for Mitigation (FIRM) Agency/Company /Organization United Nations Environment Programme (UNEP) Partner Global Environment Facility (GEF), Government of Denmark Sector Climate, Energy, Land Topics Adaptation, Co-benefits assessment, - Environmental and Biodiversity, Finance, Implementation, Low emission development planning Website http://www.unep.org/climatecha Program Start 2011 Program End 2013 Country Ghana UN Region Central America References Facilitating Implementation and Readiness for Mitigation (FIRM)[1] "The Government of Denmark will provide US$6 million to the new programme

298

Wind: wind speed and wind power density GIS data at 10m and 50m above  

Open Energy Info (EERE)

10m and 50m above 10m and 50m above surface and 0.25 degree resolution for global oceans from NREL Dataset Summary Description (Abstract): Raster GIS ASCII data files of wind speed and wind power density at 10 and 50 m heights. Global data of offshore wind resource as generated by NASA's QuikScat SeaWinds scatterometer. (Purpose): To provide information on the wind resource potential of offshore areas. Source NREL Date Released December 31st, 2005 (9 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS NASA NREL ocean offshore QuikScat SWERA UNEP wind Data application/msword icon Download Documentation (doc, 53.8 KiB) application/zip icon Download Data (zip, 41 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 01/01/2000 - 12/31/2004

299

coalbed methane | OpenEI  

Open Energy Info (EERE)

coalbed methane coalbed methane Dataset Summary Description (Abstract): Each TMY is a data 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. The container file contains one TMY file for each selected station in the region, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations Source NREL Date Released April 30th, 2005 (9 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords coalbed methane GEF Kenya NREL SWERA TMY UNEP Data application/zip icon Download Data (zip, 5.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

300

Quantitative evaluation of ammonium hydrosulfide reagent for precipitation of group II cations at 1.0 molar hydrogen ion concentration and for separation of group II and group III cations  

E-Print Network (OSTI)

, . 9 melen by~@en ion oenoen4xatien when eeyanaClen ef 1i yLtatmg a Grid XX ea4Xen, ne 4' evlfMe, e4 X. O ? CXt &44k O@KLCGXAX'8. '49. GB 8%6. l)p' pX'4IQigi484~ S 6M'gp XXX - ed%. ee @+~&9. 8e xi@@ ed, MXg ~eniermX ee1u41ea. Ree~qMee ' eX' 8k@ ~i...~es--'ljx'emefex'xe@ Co e $09 @1? Be'DexGGotp f ' -T sekima'&XameChate AzemJo, . (XXX) . Dlengaxwtee (XI) . Gep@rnexomt . , %'ice. exeemlomp yxldte, ewxyle i eea:4keaqgve@ e45h. ; . %+8 . 8@Xggi@@' Wee '48gef Q$Xg 5894?elkee8 bp' @g'gp@@S! ~N$'45' 1 @f"8" eLL~ -?OS...

Ramsey, Jerry Warren

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "dni gef ghi" 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
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301

Comparative Evaluation of Chemical and Environmental Online and CD-ROM Databases  

Science Journals Connector (OSTI)

This paper presents a comparative evaluation of datasources of online databases and databases on CD-ROM (called CD-ROMs in this paper) in the field of environmental chemicals. ... Analyzing the five object sets for CD-ROMs (ICD?5CD), the situation is as follows:? The CD-ROM versions of large online databases, e.g., BIOSIS (BIOSIS Previews CD-ROM), RTECS (Registry of Toxic Effects of Chemical Substances), and TOX (Toxicology Literature Online CD-ROM), are maximum objects in our Hasse diagrams. ... Striking is the fact that the German CD-ROMs like GEF (Gefahrgut CD-ROM), GIF (Giftliste, krebserregende, gesundheitsschdliche und reizende Stoffe), and SIG (Siemens Gefahrstoff-Datenbank CD-ROM) are in low ranking positions. ...

Kristina Voigt; Johann Gasteiger; Rainer Brggemann

1999-11-23T23:59:59.000Z

302

Jordan-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

World Bank Climate Projects World Bank Climate Projects Jump to: navigation, search Name Jordan-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy Focus Area Energy Efficiency, Renewable Energy, Biomass, Wind Topics Background analysis Country Jordan Western Asia References World Bank project database[1] Contents 1 World Bank Active Climate Projects in Jordan 1.1 Jordan Energy Efficiency 1.2 Promotion of a Wind Power Market 1.3 JO-Amman Landfill Gas Recovery 1.4 Integrated Ecosystems in the Jordan Rift Valley 2 References World Bank Active Climate Projects in Jordan Jordan Energy Efficiency (1M) GEF Medium Sized Program Promotion of a Wind Power Market (6M) Global Environment Project JO-Amman Landfill Gas Recovery (15M) Carbon Offset Integrated Ecosystems in the Jordan Rift Valley (6.15M) Global

303

Mexico-Facilitating Implementation and Readiness for Mitigation (FIRM) |  

Open Energy Info (EERE)

Mexico-Facilitating Implementation and Readiness for Mitigation (FIRM) Mexico-Facilitating Implementation and Readiness for Mitigation (FIRM) Jump to: navigation, search Logo: Mexico-Facilitating Implementation and Readiness for Mitigation (FIRM) Name Mexico-Facilitating Implementation and Readiness for Mitigation (FIRM) Agency/Company /Organization United Nations Environment Programme (UNEP) Partner Global Environment Facility (GEF), Government of Denmark Sector Climate, Energy, Land Topics Adaptation, Co-benefits assessment, - Environmental and Biodiversity, Finance, Implementation, Low emission development planning Website http://www.unep.org/climatecha Program Start 2011 Program End 2013 Country Mexico UN Region Central America References Facilitating Implementation and Readiness for Mitigation (FIRM)[1] "The Government of Denmark will provide US$6 million to the new programme

304

contours | OpenEI  

Open Energy Info (EERE)

contours contours Dataset Summary Description (Abstract): Annual and seasonal mean of Latitude Tilt Solar Radiation in kWh/m2/day based on data from 1995 to 2002 (Purpose): To provide a set of consistent, reliable, verifiable, and accessible global data sets for international and in-country investors and other stakeholders Source INPE (National Institute for Spatial Research) and LABSOLAR (Laboratory of Solar Energy/Federal University of Santa Catarina) - Brazil Date Released August 11th, 2005 (9 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords Brazil contours GEF GIS INPE LABSOLAR latitude tilt solar SWERA TILT UNEP Data application/zip icon Download Data (zip, 2.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency

305

Wind: wind power density maps at 50 m above ground and 400m resolution for  

Open Energy Info (EERE)

400m resolution for 400m resolution for Sri Lanka from NREL Dataset Summary Description (Abstract): 50 m wind power density (W/m2) maps of Sri Lanka (Purpose): To provide information on the wind resource potential within Sri Lanka, with supplemental information on political boundaries, transmission lines, roads, and terrain relief. Source NREL Date Released June 30th, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS maps NREL Sri Lanka SWERA UNEP wind Data application/zip icon Download Maps (zip, 799.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote

306

CNE | OpenEI  

Open Energy Info (EERE)

5 5 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278295 Varnish cache server CNE Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. Source NREL Date Released October 31st, 2005 (9 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords CNE GEF Geospatial Toolkit GIS Nicaragua NREL SUNY SWERA UNEP Data application/zip icon Download Executable Toolkit & Documentation (zip, 42.4 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

307

atmoshperic water vapor | OpenEI  

Open Energy Info (EERE)

atmoshperic water vapor atmoshperic water vapor Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for China. Source NREL Date Released April 12th, 2005 (9 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords atmoshperic water vapor China GEF GIS NREL solar SWERA TILT UNEP Data application/zip icon Download Shapefile (zip, 625.6 KiB) text/csv icon Download Data (csv, 704.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 01/01/1985 - 12/31/1991 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access

308

Sustainable Transport and Air Quality Conference for Latin America and the  

Open Energy Info (EERE)

and Air Quality Conference for Latin America and the and Air Quality Conference for Latin America and the Caribbean 2011 Jump to: navigation, search Calendar.png Sustainable Transport and Air Quality Conference for Latin America and the Caribbean 2011: on 2011/05/09 "This Conference is co-sponsored by the Clean Air Institute (CAI), the Global Environment Facility (GEF), the Inter-American Development Bank (IDB), the World Bank, the World Mayors Council on Climate Change, GIZ and the Governments of Argentina, Mexico and Spain. Participants will discuss "How to Achieve Sustainable Urban Transport?" Among other things, the Conference will examine health and environmental benefits of improving urban transport, emissions inventories and monitoring, use of alternative fuels, carbon financing to improve urban transport, and regional

309

MEM | OpenEI  

Open Energy Info (EERE)

MEM MEM Dataset Summary Description (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. Source NREL Date Released October 31st, 2005 (9 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords GEF Geospatial Toolkit GIS Guatemala MEM NREL SWERA UNEP Data application/zip icon Download Executable Toolkit & Documentation (zip, 31.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2005 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote

310

Mexico | OpenEI  

Open Energy Info (EERE)

Mexico Mexico Dataset Summary Description (Abstract): Monthly Average Diffuse Solar Resource for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar radiation for the data domain. The insolation values represent the average solar energy available at a shaded location. This can be of value for day-lighting or other building applications. The data can be combined with other data (global horizontal, direct normal) to estimate the global radiation on different surfaces. Source NREL Date Released January 31st, 2004 (10 years ago) Date Updated November 30th, 2007 (7 years ago) Keywords Carribean Central America diffuse radiation GEF GIS Mexico NREL solar SWERA Data application/zip icon Download Shapefile (zip, 245.7 KiB) text/csv icon Download Data (csv, 380.6 KiB)

311

Photovoltaic concentrator module improvements study  

SciTech Connect

This report presents results of a project to design and fabricate an improved photovoltaic concentrator module. Using previous work as a baseline, this study conducted analyses and testing to select major module components and design features. The lens parquet and concentrator solar cell were selected from the highest performing, available components. A single 185X point-focus module was fabricated by the project team and tested at Sandia. Major module characteristics include a 6 by 4 compression-molded acrylic lens parquet (0.737 m{sup 2} area), twenty-four 0.2 ohms-cm, FZ, p-Si solar cells (1.56 cm{sup 2} area) soldered to ceramic substrates and copper heat spreaders, and an aluminized steel housing with corrugated bottom. This project marked the first attempt to use prismatic covers on solar cells in a high-concentration, point-focus application. Cells with 15 percent metallization were obtained, but problems with the fabrication and placement of prismatic covers on these cells lead to the decision not to use covers in the prototype module. Cell assembly fabrication, module fabrication, and module optical design activities are presented here. Test results are also presented for bare cells, cell assemblies, and module. At operating conditions of 981 watts/m{sup 2} DNI and an estimated cell temperature of 65{degrees}C, the module demonstrated an efficiency of 13.9 percent prior to stressed environmental exposure. 12 refs., 56 figs., 7 tabs.

Levy, S.L.; Kerschen, K.A. (Black and Veatch, Kansas City, MO (United States)); Hutchison, G. (Solar Kinetics, Inc., Dallas, TX (United States)); Nowlan, M.J. (Spire Corp., Bedford, MA (United States))

1991-08-01T23:59:59.000Z

312

Solar Resource Assessment for Sri Lanka and Maldives  

SciTech Connect

The countries of Sri Lanka and the Maldives lie within the equatorial belt, a region where substantial solar energy resources exist throughout much of the year in adequate quantities for many applications, including solar water heating, solar electricity, and desalination. The extent of solar resources in Sri Lanka has been estimated in the past based on a study of the daily total direct sunshine hours recorded at a number of weather and agricultural stations throughout the country. These data have been applied to the well-known Angstrom relationship in order to obtain an estimate of the distribution of monthly average daily total solar resources at these stations. This study is an effort in improve on these estimates in two ways: (1) to apply a gridded cloud cover database at a 40-km resolution to produce updated monthly average daily total estimates of all solar resources (global horizontal, DNI, and diffuse) for the country, and (2) to input hourly or three-hourly cloud cover observations made at nine weather stations in Sri Lanka and two in the Maldives into a solar model that produces estimates of hourly solar radiation values of the direct normal, global, and diffuse resource covering the length of the observational period. Details and results of these studies are summarized in this report.

Renne, D.; George, R.; Marion, B.; Heimiller, D.; Gueymard, C.

2003-08-01T23:59:59.000Z

313

Relationships between soils and vegetation on four range plant communities on the Welder Wildlife Refuge in South Texas  

E-Print Network (OSTI)

Dissertation By THADIS W f BOX LBBWDVGF UC MD CMXiG UsF eDsMGsM rXt EGUsDa AGBUWMoGsM LnunCM bmdm LhclHOfgAxgpglRI RqYC BUBGW 1UC oUFG BDCCYriG MqWDnuq MqG qGiB Da oUsX BGDBiG UsF YM 1DniF rG YoBDCCYriG MD YssnoGWUMG Uii MqDCG 1qD eDsMWYrnMGF MD YMC BWGB...FGWCMUsFYsu5 UsF sGVGW GsFYsu GseDnWUuGoGsM MqWDnuqDnM MqG CMnFX UsF aDW qGW qGiB Ys MqG BWGBUWUMYDs Da MqG oUsnCeWYBMN RLSfg H) hHlRglRI H S w g h R T : g I NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNN 3 (g:TgO H) f...

Box, Thadis W.

1959-01-01T23:59:59.000Z

314

All Price Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

1) 1) June 2013 State Energy Price and Expenditure Estimates 1970 Through 2011 2011 Price and Expenditure Summary Tables Table E1. Primary Energy, Electricity, and Total Energy Price Estimates, 2011 (Dollars per Million Btu) State Primary Energy Electric Power Sector g,h Retail Electricity Total Energy g,i Coal Natural Gas a Petroleum Nuclear Fuel Biomass Total g,h,i Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste f Alabama 3.09 5.66 26.37 22.77 25.54 27.12 13.18 19.42 25.90 0.61 3.01 8.75 2.56 27.08 19.85 Alaska 3.64 6.70 29.33 23.12 29.76 31.60 20.07 34.62 26.61 - 14.42 20.85 6.36 47.13 25.17 Arizona 1.99 7.07 27.73 22.84 31.95 26.97 17.00 17.23 26.71 0.75 6.31 10.79 2.16 28.46 25.23 Arkansas 1.93 6.94 26.37 22.45 26.66 27.35 17.35 33.22

315

 

Gasoline and Diesel Fuel Update (EIA)

9) 9) June 2011 State Energy Price and Expenditure Estimates 1970 Through 2009 2009 Price and Expenditure Summary Tables Table E1. Primary Energy, Electricity, and Total Energy Price Estimates, 2009 (Dollars per Million Btu) State Primary Energy Electric Power Sector g,h Retail Electricity Total Energy g,i Coal Natural Gas a Petroleum Nuclear Fuel Biomass Total g,h,i Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste f Alabama 2.81 6.63 16.38 12.88 21.25 17.63 9.62 13.88 16.73 0.55 2.82 6.88 2.24 26.23 16.18 Alaska 2.81 6.39 20.85 13.24 26.28 22.73 10.74 24.01 17.57 - 9.57 14.30 4.26 44.29 18.23 Arizona 1.83 6.38 16.14 12.50 27.59 18.28 - 11.60 17.18 0.59 7.83 7.67 2.04 28.01 19.66 Arkansas 1.73 7.82 16.07 12.42 20.51 17.40 6.65 21.59 17.08 0.66

316

Determination of polynuclear aromatic hydrocarbons in seafood by liquid chromatography with fluorescence detection  

SciTech Connect

Modification of a previously published method for determination of polynuclear aromatic hydrocarbons (PAHs) produces very clean seafood extracts in less than half the time. After alkaline digestion of the seafood, PAHs were partitioned into 1,2,3-trichlorotrifluoroethane. The resulting extract was cleaned up by solid-phase extraction on alumina, silica, and C{sub 18} adsorbents and then analyzed by gradient reversed-phase liquid chromatography with programmable fluorescence detection. Average recoveries of 12 PAHs [acenaphthene, anthracene, fluoranthene, pyrene, benz(a)anthracene, chrysene, benzo(b)fluoranthene, benzo(k)-fluoranthene, benzo(k)-fluoranthene, benzo(a)pyrene, dibenz(a,h)anthracene, benzo(ghi)perylene, and indeno(1,2,3-cd)pyrene] from 5 different matrixes (mussels, oysters, clams, crabmeat, and salmon)spiked at low parts-per-billion levels ranged from 76 to 94%. Estimated limits of quantitation ranged from 0.01 to 0.6 ppb PAHs in extracts that were free of matrix interferences. Results of analyses of a mussels standard reference material obtained from the National Institute of Standards and Technology were in good agreement with the certified values. 16 refs., 3 figs., 4 tabs.

Perfetti, G.A.; Nyman, P.J.; Fisher, S.; Joe, F.L. Jr.; Diachenko, G.W. [Food and Drug Administration, Washington, DC (United States)

1992-09-01T23:59:59.000Z

317

All Price Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

. Primary Energy, Electricity, and Total Energy Price Estimates, 2011 . Primary Energy, Electricity, and Total Energy Price Estimates, 2011 (Dollars per Million Btu) State Primary Energy Electric Power Sector g,h Retail Electricity Total Energy g,i Coal Natural Gas a Petroleum Nuclear Fuel Biomass Total g,h,i Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste f Alabama 3.09 5.66 26.37 22.77 25.54 27.12 13.18 19.42 25.90 0.61 3.01 8.75 2.56 27.08 19.85 Alaska 3.64 6.70 29.33 23.12 29.76 31.60 20.07 34.62 26.61 - 14.42 20.85 6.36 47.13 25.17 Arizona 1.99 7.07 27.73 22.84 31.95 26.97 17.00 17.23 26.71 0.75 6.31 10.79 2.16 28.46 25.23 Arkansas 1.93 6.94 26.37 22.45 26.66 27.35 17.35 33.22 27.02 0.64 3.31 10.54 2.13 22.02 19.63 California 3.13 7.08 27.34 22.51 31.21 30.02 20.92 21.45 27.51 0.71 4.88 17.99 3.32 38.35 24.14 Colorado 1.73 6.79 26.86 22.41 26.35

318

High Resolution Solar Energy Resource Assessment within the UNEP Project  

Open Energy Info (EERE)

High Resolution Solar Energy Resource Assessment within the UNEP Project High Resolution Solar Energy Resource Assessment within the UNEP Project SWERA Dataset Summary Description (Abstract): To expand the world wide use of renewable energy a consistent, reliable, verifiable, and easily accessible database of solar energy resources is needed. Within the UNEP (United Nations Environment Programme) Project SWERA (Solar and Wind Energy Resource Assessment, http://swera.unep.net), funded by GEF (Global Environment Facility), a global database of solar and wind energy resources will be set up. SWERA will provide, beside the wind products, global horizontal irradiance, which is mostly used to plan photovoltaic systems, and direct normal irradiance, which is needed for solar concentrating systems. For selected countries throughout the world, additionally high resolution data will be produced which is required to plan solar energy systems in detail. Within SWERA, the partners DLR, SUNY and INPE calculate solar irradiance with high temporal resolution of 1 hour and with a spatial resolution of 10km x 10km. By processing data from geostationary satellites we provide solar irradiance data for Cuba, El Salvador, Honduras, Nicaragua, Guatemala, Brazil, Ghana, Ethiopia, Kenya, China, Sri Lanka, Nepal, and Bangladesh. In this paper we describe the ongoing work of developing this high resolution solar irradiance tx_metadatatool and cross-checking of the used solar irradiance algorithms for various satellite data.

319

SWERA borrador051110  

Open Energy Info (EERE)

informe nacional informe nacional GEF MEM DGE Preparado por: Ing. Norbert Bons Borrador 14-11-05 SWERA borrador 14-11-2005 1 2 MEM DGE - Fundación Solar Contenido Prefacio 5 Resumen ejecutivo 6 Introducción 7 Datos socioeconómicos 7 Geografía y clima de Guatemala 7 Las energías renovables en Guatemala 9 La situación energética del país 13 Balance de energía de Guatemala 13 Marco institucional del sub-sector eléctrico 14 Ministerio de Energía y Minas 14 Comisión Nacional de Energía 15 Administrador del Mercado Mayorista 15 Autoridad designada para los créditos de carbono 16 Marco regulatorio del sub-sector eléctrico 16 Ley general de electricidad 17 Ley de incentivos para el desarrollo de proyectos de energía renovable 17 Sistema eléctrico 17 Generación 17 Transporte 18 Distribución 19 Mercado eléctrico

320

UNITED NATIONS ENVIRONMENT PROGRAMME PROJECT DOCUMENT SUMMARY  

Open Energy Info (EERE)

UNITED NATIONS ENVIRONMENT PROGRAMME UNITED NATIONS ENVIRONMENT PROGRAMME PROJECT DOCUMENT SUMMARY 1.1 Title of Sub-Programme: Climate Change 1.2 Title of Project: Solar and Wind Energy Resource Assessment 1.3 Project number: GF/ 1.4 Geographical Scope: Global (10) 1.5 Implementation: Internal DTIE with 20 supporting agencies 1.6 Duration of the Project: 36 months Commencing: June 2001 Completion: July 2004 1.7 Cost of Project: (Expressed in thousands of US dollars, excluding PDF grant) 2001 2002 2003 2004 Total % GEF Trust Fund 1,430 1,742 1,613 1,013 6,512 73 Collaborating Agencies (in kind) 418 836 836 418 2,508 28 3,849 4,580 4,452 3,435 9,020 100 1.8 Project Summary This project will provide solar and wind resource data and geographic information assessment tools to public and private sector executives who are involved in energy market development. It

Note: This page contains sample records for the topic "dni gef ghi" 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

Solar and Wind Energy Resource Assessment (SWERA) Data from the National Renewable Energy Library and the United Nations Environment Program (UNEP)  

DOE Data Explorer (OSTI)

The SWERA Programme provides easy access to credible renewable energy data to stimulate investment in, and development of, renewable energy technologies. The Solar and Wind Energy Resource Assessment (SWERA) started in 2001 to advance the large-scale use of renewable energy technologies by increasing the availability and accessibility of high-quality solar and wind resource information. SWERA began as a pilot project with funding from the Global Environment Facility (GEF) and managed by the United Nations Environment Programme's (UNEP) Division of Technology, Industry and Economics (DTIE) in collaboration with more than 25 partners around the world. With the success of the project in 13 pilot countries SWERA expanded in 2006 into a full programme. Its expanded mission is to provide high quality information on renewable energy resources for countries and regions around the world, along with the tools needed to apply these data in ways that facilitate renewable energy policies and investments.[from the SWERA Guide at http://swera.unep.net/index.php?id=sweraguide_chp1] DOE and, in particular, the National Renewable Energy Laboratory, has been a functioning partner from the beginning. NREL was part of the original technical team involved in mapping, database, and GIS activities. Solar, wind, and meteorological data for selected countries can be accessed through a variety of different tools and interfaces.

322

Brayton-Cycle Baseload Power Tower CSP System  

SciTech Connect

The primary objectives of Phase 2 of this Project were: 1. Engineer, fabricate, and conduct preliminary testing on a low-pressure, air-heating solar receiver capable of powering a microturbine system to produce 300kWe while the sun is shining while simultaneously storing enough energy thermally to power the system for up to 13 hours thereafter. 2. Cycle-test a high-temperature super alloy, Haynes HR214, to determine its efficacy for the systems high-temperature heat exchanger. 3. Engineer the thermal energy storage system This Phase 2 followed Wilsons Phase 1, which primarily was an engineering feasibility study to determine a practical and innovative approach to a full Brayton-cycle system configuration that could meet DOEs targets. Below is a summary table of the DOE targets with Wilsons Phase 1 Project results. The results showed that a Brayton system with an innovative (low pressure) solar receiver with ~13 hours of dry (i.e., not phase change materials or molten salts but rather firebrick, stone, or ceramics) has the potential to meet or exceed DOE targets. Such systems would consist of pre-engineered, standardized, factory-produced modules to minimize on-site costs while driving down costs through mass production. System sizes most carefully analyzed were in the range of 300 kWe to 2 MWe. Such systems would also use off-the-shelf towers, blowers, piping, microturbine packages, and heliostats. Per DOEs instructions, LCOEs are based on the elevation and DNI levels of Daggett, CA, for a 100 MWe power plant following 2 GWe of factory production of the various system components. Success criteria DOE targets Wilson system LCOE DOEs gas price $6.75/MBtu 9 cents/kWh 7.7 cents/kWh LCOE Current gas price $4.71/MBtu NA 6.9 cents/kWh Capacity factor 75% (6500hr) 75-100% Solar fraction 85% (5585hr) >5585hr Receiver cost $170/kWe $50/kWe Thermal storage cost $20/kWhth $13/kWhth Heliostat cost $120/m2 $89.8/m2

Anderson, Bruce

2013-12-31T23:59:59.000Z

323

Table ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States  

Gasoline and Diesel Fuel Update (EIA)

ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States Year Primary Energy Electric Power Sector h,j Retail Electricity Total Energy g,h,i Coal Coal Coke Natural Gas a Petroleum Nuclear Fuel Biomass Total g,h,i,j Coking Coal Steam Coal Total Exports Imports Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste f,g Prices in Dollars per Million Btu 1970 0.45 0.36 0.38 1.27 0.93 0.59 1.16 0.73 1.43 2.85 0.42 1.38 1.71 0.18 1.29 1.08 0.32 4.98 1.65 1975 1.65 0.90 1.03 2.37 3.47 1.18 2.60 2.05 2.96 4.65 1.93 2.94 3.35 0.24 1.50 2.19 0.97 8.61 3.33 1980 2.10 1.38 1.46 2.54 3.19 2.86 6.70 6.36 5.64 9.84 3.88 7.04 7.40 0.43 2.26 4.57 1.77 13.95 6.89 1985 2.03 1.67 1.69 2.76 2.99 4.61 7.22 5.91 6.63 9.01 4.30 R 7.62 R 7.64 0.71 2.47 4.93 1.91 19.05

324

Exergoeconomic analysis of high concentration photovoltaic thermal co-generation system for space cooling  

Science Journals Connector (OSTI)

Abstract This paper provides an exergetic analysis of a 10MW high concentration photovoltaic thermal (HCPVT) power plant case study located in Hammam Bou Hadjar, Algeria. The novel HCPVT multi-energy carrier plant converts 25% of the direct normal irradiance (DNI) into electrical energy and 62.5% to low grade heat for a combined efficiency of 87.5%. The HCPVT system employs a point focus dish concentrator with a cooled PV receiver module. The novel hot-water cooling approach is used for energy reuse purposes and is enabled by our state-of-the-art substrate integrated micro-cooling technology. The high performance cooler of the receiver with a thermal resistance of <0.12cm2K/W enables the receiver module to handle concentrations of up to 5000suns. In the present study, a concentration of 2000suns allows using coolant fluid temperatures of up to 80C. This key innovation ensures reliable operation of the triple junction PV (3JPV) cells used and also allows heat recovery for utilization in other thermal applications such as space cooling, heating, and desalination. Within this context, an exergoeconomics analysis of photovoltaic thermal co-generation for space cooling is presented in this manuscript. The valuation method presented here for the HCPVT multi-energy carrier plant comprises both the technical and economic perspectives. The proposed model determines how the cost structure is evolving in four different scenarios by quantifying the potential thermal energy demand in Hammam Bou Hadjar. The model pins down the influence of technical details such as the exergetic efficiency to the economic value of the otherwise wasted heat. The thermal energy reuse boosts the power station?s overall yield, reduces total average costs and optimizes power supply as fixed capital is deployed more efficiently. It is observed that even though potential cooling demand can be substantial (19,490MWh per household), prices for cooling should be 3 times lower than those of electricity in Algeria (18USD/MWh) to be competitive. This implies a need to reach economies of scale in the production of individual key components of the HCPVT system. The net present value (NPV) is calculated taking growth rates and the system?s modular efficiencies into account, discounted over 25 years. Scenario 1 shows that even though Algeria currently has no market for thermal energy, a break-even quantity (49,728MWh) can be deduced by taking into account the relation between fixed costs and the marginal profit. Scenario 2 focuses on the national growth rate needed to break even, i.e. +10.92%. Scenario 3 illustrates thermal price variations given an increase in the Coefficient of Performance (COP) of a thermally driven adsorption chiller after year 10. In this case, the price for cooling will decrease from 18USD/MWh to 14USD/MWh. Finally, scenario 4 depicts Hammam Bou Hadjar?s potential cooling demand per household and the growth rate needed to break even if a market for heat would exist.

Veronica Garcia-Heller; Stephan Paredes; Chin Lee Ong; Patrick Ruch; Bruno Michel

2014-01-01T23:59:59.000Z

325

Solar and Wind Energy Resource Assessment (SWERA) - Bangladesh | OpenEI  

Open Energy Info (EERE)

(SWERA) - Bangladesh (SWERA) - Bangladesh Dataset Summary Description Reduction of global greenhouse gas emission to arrest global warming requires minimizing the use of fossil fuels. To achieve this a large scale use of renewable energies must be made over the globe for production of electrical and thermal energy. Success of wind and solar energy projects require detailed and precise information on the resources. For most developing countries adequate information on the resources are not available.UNEP supported by GEF has started a program to assess solar and wind resources for a number of countries including Bangladesh, China, Brazil, Nepal and Sri Lanka in the initial program.World resources of oil, gas and coal are limited and there is a global concern about this but for Bangladesh the situation appears to be extremely unhappy as per capita reserve of fossil fuels is only 1/50th to 1/100th of world per capita. A close look at Bangladesh energy scenario is presented before going to an overview of the results of resource assessments for wind and solar energy under the SWERA Program carried out for Bangladesh withRERC as the local partner. Data and maps for Bangladesh are available in the SWERA website. Details of assessment techniques and results will be presented in the following sections together with the possible applications of the resources.A spin-off from the SWERA Project is development of manpower trained at home and abroad in WAsP techniques, RETScreen and HOMER analyses and the capability development for using GIS Toolkit.NREL, RISOE and DLR produced modeled maps and data sets for Bangladesh and NREL developed the GIS Toolkit. RERC measured and collected ground data and standardized the maps and data sets.Mr. Tom Hamlin of UNEP who has been the project manager for SWERA activities always extended his helping hands to RERC which enabled the completion of the project.TERI has played a vital role as the Regional Coordinator.

326

The Malacca Straits  

Science Journals Connector (OSTI)

The Malacca Straits have long been an important trade route linking the Indian Ocean to the South China Sea and Pacific Ocean. From the seventh to the eleventh century, the Srivijaya empire controlled them, followed in the fifteenth century by the port kingdom of Malacca. Western maritime powers also recognized the strategic importance of the Straits, and in 1511, the Portuguese captured Malacca. In 1641, the Dutch occupied what is now known as Jakarta, and from the seventeenth to the eighteenth century, the Dutch East India company controlled the trade in the Straits (Ross et al., 1995). The British also recognized the need to control the Straits to ensure the safe passage of British merchant ships on their way to China, and in 1819 established a colony in Singapore. In 1824, the British and the Dutch ended their rivalry with a treaty whereby Britain agreed to `safeguard the Straits and keep them open for other friendly nations' (Chia, 1998). In recent years, the Straits have become a very important trade route. In 1993 and 1995, over 100000 oil and cargo vessels traversed it each year, carrying 3.23 million barrels of crude oil through the Straits each day (Sakura Institute of Research, 1998). Shipping accidents have occurred more frequently, recently, which is attributed to heavy traffic in the Straits with shallow, narrow channels and shoals. Despite these hazards, economic efficiency dictates that vessels continue to use the Straits. The Straits are also rich in renewable and non-renewable resources, including productive coastal ecosystems, extensive capture fisheries, aquaculture, coastal tourism, mining and valuable natural gas reserves. This chapter looks at the natural environmental conditions and the status of the coastal resources, the sustainability of existing activities, critical environmental problems and management. It is based on the Malacca Straits Environmental Profile (Chua et al., 1997) and other studies undertaken by the GEF/UNDP/IMO Regional Programme for Marine Pollution Prevention and Management in the East Asian Seas, referred to as the Regional Programme in this document.

Chua Thia-Eng; Ingrid R.L Gorre; S Adrian Ross; Stella Regina Bernad; Bresilda Gervacio; M Corazon Ebarvia

2000-01-01T23:59:59.000Z

327

Maldives | OpenEI  

Open Energy Info (EERE)

Maldives Maldives Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for Sri Lanka and the Maldives. (Purpose): To provide information on the wind resource potential within Sri Lanka and the Maldives. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords documentation GEF GIS Maldives NREL Sri Lanka SWERA UNEP wind Data application/pdf icon Download Report (pdf, 30.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Restrictions to use (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

328

NASA | OpenEI  

Open Energy Info (EERE)

NASA NASA Dataset Summary Description (Abstract): Raster GIS ASCII data files of wind speed and wind power density at 10 and 50 m heights. Global data of offshore wind resource as generated by NASA's QuikSCAT SeaWinds scatterometer. (Purpose): To provide information on the wind resource potential of offshore areas. Source NREL Date Released December 31st, 2005 (8 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS NASA NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 36.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2000 - 2004 License License Other or unspecified, see optional comment below Comment (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

329

BIL | OpenEI  

Open Energy Info (EERE)

3 3 Varnish cache server BIL Dataset Summary Description (Abstract): Raster GIS data, exported as BIL file, 50 m wind power density for Cuba. Note: BIL files can be converted to raster data in ArcInfo using the IMAGEGRID command. (Purpose): To provide information on the wind resource potential in Cuba. Values range from 0 to 547. (Supplemental Information): Source NREL Date Released September 02nd, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords BIL Cuba GEF GIS NREL SWERA UNEP wind Data application/zip icon Download Data (zip, 235.2 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2004 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Restrictions to use (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

330

Technical Report - Ghana Wind Energy Resource Assessment | OpenEI  

Open Energy Info (EERE)

Ghana Wind Energy Resource Assessment Ghana Wind Energy Resource Assessment Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for Ghana. (Purpose): To provide information on the wind resource potential within Ghana. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords documentation GEF Ghana GIS NREL SWERA UNEP wind Data application/pdf icon Download Report (pdf, 54.3 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Restrictions to use (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

331

Technical Report - Sri Lanka and the Maldives Wind Energy Resource  

Open Energy Info (EERE)

Sri Lanka and the Maldives Wind Energy Resource Sri Lanka and the Maldives Wind Energy Resource Assessment Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for Sri Lanka and the Maldives. (Purpose): To provide information on the wind resource potential within Sri Lanka and the Maldives. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords documentation GEF GIS Maldives NREL Sri Lanka SWERA UNEP wind Data application/pdf icon Download Report (pdf, 30.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Restrictions to use (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.