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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)

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

3

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

4

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

5

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

6

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

7

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

8

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

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)

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

14

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

15

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.

16

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

17

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.

18

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

19

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.

20

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

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)

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

22

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

23

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

24

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.

25

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

26

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.

27

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

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 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)

33

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)

34

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)

35

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)

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

Turkmenistan-GEF Projects | Open Energy Information  

Open Energy Info (EERE)

search Name Turkmenistan-GEF Projects AgencyCompany Organization Global Environment Facility Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy Topics...

39

Global Environment Facility (GEF) | Open Energy Information  

Open Energy Info (EERE)

Edit with form History Share this page on Facebook icon Twitter icon Global Environment Facility (GEF) Jump to: navigation, search Name Global Environment Facility Address...

40

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"

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

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

42

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

43

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.

44

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

45

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). "

46

UNDP-Peru GEF Nationally Appropriate Mitigation Actions in the...  

Open Energy Info (EERE)

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...

47

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

48

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.

49

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

50

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

51

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

52

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

53

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)

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

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:

57

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.

58

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

59

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)

60

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

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)

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)

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

TO: Mr. Mohamed El-Ashry, CEO/Chairman, GEF  

E-Print Network (OSTI)

project for review by the Secretariat staff prior to circulation to the Council and your final endorsement. 2. The program remains fully consistent with the objectives and scope of the proposal that was approved by the Council on March 8, 2000. Unfortunately due to the fluid political situation in Indonesia, it has taken approximately one year longer than foreseen to deliver the project. The appraisal was carried out in November/December 2000; negotiations are scheduled for April 18-20, and Board presentation is set for May 31, 2001. The lending instrument remains an APL in three tranches. Evolution of Project and Program since Intersessional Work Program Review 3. WJEMPs GEF Objectives. The program supports the GEF objective of reducing methane generation and therefore greenhouse gas (GHG) emissions. This will be accomplished by supporting increased composting of the organic fraction of municipal solid waste instead of dumping it into landfills. Composting will reduce GHG emissions by (a) avoiding the production of methane gas from anaerobic decomposition of organic waste; and (b) producing a useful agricultural input that reduces the need for synthetic

unknown authors

2001-01-01T23:59:59.000Z

66

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

67

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

68

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

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

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

71

OpenEI - hourly data  

Open Energy Info (EERE)

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

72

Synthesis of anti-and syn-Diol Epoxides of trans-3,4-Dihydroxy-3,4-dihydrobenzo[ghi]fluoranthene  

E-Print Network (OSTI)

, England, 1991. (2) Szeliga, J.; Dipple. A. Chem. Res. Toxicol. 1998, 11, 1-11. (3) Dipple, A.; Khan, Q. A the preparation of anti- and syn-3,4-dihydroxy-5,5a-epoxy-3,4,5,5a-tetrahydrobenzo- [ghi]fluoranthene (2 and 3-region PAHs but are general to those derived from other nonplanar PAHs, such as 7,12-dimethylbenz[a

Cho, Bongsup P.

73

GEF-H1 Mediated Control of NOD1 Dependent NF-kB Activation by Shigella Effectors  

E-Print Network (OSTI)

Shigella flexneri has evolved the ability to modify host cell function with intracellular active effectors to overcome the intestinal barrier. The detection of these microbial effectors and the initiation of innate immune responses are critical for rapid mucosal defense activation. The guanine nucleotide exchange factor H1 (GEF-H1) mediates RhoA activation required for cell invasion by the enteroinvasive pathogen Shigella flexneri. Surprisingly, GEF-H1 is requisite for NF-kB activation in response to Shigella infection. GEF-H1 interacts with NOD1 and is required for RIP2 dependent NF-kB activation by H-Ala-DcGlu-DAP (cTriDAP). GEF-H1 is essential for NF-kB activation by the Shigella effectors IpgB2 and OspB, which were found to signal in a NOD1 and RhoA Kinase (ROCK) dependent manner. Our results demonstrate that GEF-H1 is a critical component of cellular defenses forming an intracellular sensing system with NOD1 for the detection of microbial effectors during cell

Atsuko Fukazawa; Carmen Alonso; Kiyotaka Kurachi; Sonal Gupta; Cammie F. Lesser; Beth Ann; Hans-christian Reinecker

2008-01-01T23:59:59.000Z

74

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)

75

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)

76

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

77

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

78

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

Science Conference Proceedings (OSTI)

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

79

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Solar Data  

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

Last Updated Metadata KMZ Files Lower 48 and Hawaii DNI 10km Resolution 1998 to 2009 (Zip 9.6 MB) 09122012 Direct Normal.xml Direct Normal.kmz Lower 48 and Hawaii GHI 10km...

80

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

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 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.

82

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.

83

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.

84

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

85

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)

86

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.

87

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

Open Energy Info (EERE)

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...

88

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

89

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

90

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.

91

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.

93

Doktorandske dny '11 Ustav informatiky AV CR, v. v. i.  

E-Print Network (OSTI)

Copula-Based Estimation of Distribution Algorithms 6 Radim Demut: Different Measures of Reliability in Regression 13 Tom´as Dzetkulic: Incremental Computation of Succinct Abstractions for Hybrid Systems 19 Jana F¨urstov´a: Competing Risks of CML-Related Death and Death from Other Causes 20 Martin Hor´acek: Traditional Measures

Tebbens, Jurjen Duintjer

94

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

Open Energy Info (EERE)

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...

95

Solar: monthly and annual average direct normal (DNI) GIS data...  

Open Energy Info (EERE)

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...

96

Surface Radiation from GOES: A Physical Approach; Preprint  

DOE Green Energy (OSTI)

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

97

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

Open Energy Info (EERE)

Global Environment Facility Sector Energy Focus Area Renewable Energy Topics Finance, Market analysis Website http:www.unep.frenergyacti References UNEP Financial Risk...

98

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.

99

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

100

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

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 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

102

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

103

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

104

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

105

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.

106

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

107

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

108

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

Open Energy Info (EERE)

Central America from SUNY

(Abstract):Monthly Average Solar Resource for horizontal flat-plate solar collectors for Central America
<...

109

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

Open Energy Info (EERE)

at 10km resolution for Cuba from SUNY

(Abstract):Monthly Average Solar Resource for horizontal flat-plate solar collectors for Cuba

(Purpose):<...

110

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

Open Energy Info (EERE)

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...

111

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

112

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

113

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

114

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

115

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

116

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

117

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

118

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

119

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

120

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

Open Energy Info (EERE)

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...

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

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

Open Energy Info (EERE)

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...

122

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

Open Energy Info (EERE)

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...

123

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)

124

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

125

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

126

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)

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

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

131

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

132

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

133

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

134

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

135

Definition: Global horizontal irradiance | Open Energy Information  

Open Energy Info (EERE)

Normal Irradiance (DNI) and Diffuse Horizontal Irradiance (DIF).1 Related Terms DNI, Solar radiation, Concentrating solar power, Photovoltaics References http:...

136

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.

137

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

138

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)

139

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

140

WB/GEF Renewable Energy Development Project: Renewable Energy in China  

DOE Green Energy (OSTI)

Fact sheet describes China's Renewable Energy Development Project to supply electricity to rural households and institutions with wind energy and solar power (photovoltaics). World Bank and Global Environmental Facility fund the project.

Not Available

2004-04-01T23:59:59.000Z

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.


141

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.

142

Comparison of Direct Normal Irradiance Derived from Silicon and Thermopile Global Hemispherical Radiation Detectors: Preprint  

DOE Green Energy (OSTI)

Concentrating solar applications utilize direct normal irradiance (DNI) radiation, a measurement rarely available. The solar concentrator industry has begun to deploy numerous measurement stations to prospect for suitable system deployment sites. Rotating shadowband radiometers (RSR) using silicon photodiodes as detectors are typically deployed. This paper compares direct beam estimates from RSR to a total hemispherical measuring radiometer (SPN1) multiple fast thermopiles. These detectors simultaneously measure total and diffuse radiation from which DNI can be computed. Both the SPN1 and RSR-derived DNI are compared to DNI measured with thermopile pyrheliometers. Our comparison shows that the SPN1 radiometer DNI estimated uncertainty is somewhat greater than, and on the same order as, the RSR DNI estimates for DNI magnitudes useful to concentrator technologies.

Myers, D. R.

2010-01-01T23:59:59.000Z

143

ORIGINALIA 321 Elektrophysiologische Analyse  

E-Print Network (OSTI)

/ Senatsverwaltung für Stadtentwicklung (Hrsg.): Rote Listen der gefährdeten Pflanzen und Tiere von Berlin. CD Landschaftspflege / Senatsverwaltung für Stadtentwicklung (Hrsg): Rote Listen der gefährdeten Pflanzen und Tiere von

Kutas, Marta

144

Help:Energy Hackathon Resources | Open Energy Information  

Open Energy Info (EERE)

that estimates the performance of hypothetical residential and small commercial PV installations Solar DNI layer from NREL's Solar Prospector. Apps for Energy Examples...

145

2007 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim 1617-9437/07/0101-31 Physik Journal 6 (2007) Nr. 1 31 Plastikkgelchen (,,Staub"), die in Plasmaentladungen  

E-Print Network (OSTI)

gefördert. Literatur [1] G. J. Kalman und K. Blagoev (Hrsg.), Strongly Coupled Cou- lomb Systems (Springer

Greifswald, Ernst-Moritz-Arndt-Universität

146

OpenEI - China  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm2720 en Solar: monthly and annual average global horizontal (GHI) GIS data at 40km resolution for China from NREL http:en.openei.org...

147

Energy-Efficiency Labels and Standards: A Guidebook for Appliances, Equipment, and Lighting - 2nd Edition  

E-Print Network (OSTI)

Development Bank International Energy Agency IEC IEE IEEEWorld Bank. 2004. World Bank GEF Energy Efficiency Portfoliomultilateral banks are increasingly recognizing that energy-

Wiel, Stephen; McMahon, James E.

2005-01-01T23:59:59.000Z

148

Journal of Research Volume 2  

Science Conference Proceedings (OSTI)

... jres.002.016. The analysis of fluorspar, p. 671 Lundell, GEF; Hoffman, JI http://dx.doi.org/10.6028/jres.002.017. An interference ...

2012-11-13T23:59:59.000Z

149

Promotion of Wind Energy: Lessons Learned from International...  

Open Energy Info (EERE)

from International Experience and United Nations Development Programme Global Environment Facility (UNDP-GEF) Projects Jump to: navigation, search Tool Summary LAUNCH TOOL...

150

Maryland's 8th congressional district: Energy Resources | Open...  

Open Energy Info (EERE)

in Maryland's 8th congressional district Arborview Capital Clean Currents Global Environment Fund GEF National Interest Security Company NISC Formerly Technology Management...

151

Gateway:Coordinated Low Emissions Assistance Network (CLEAN)...  

Open Energy Info (EERE)

Knowledge Products and E-Learning IEA Policies and Measures Database GEF-Knowledge Management Initiative REN21 Renewables Interactive Map Reegle Search Engine for Renewable...

152

Science DMZ National Oceanic and Atmospheric Administration  

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

historical weather forecasts with the same current version of NOAA's Global Ensemble Forecast System (GEFS). Among the advantages associated with a long reforecast dataset is that...

153

Journal of Research Volume 15  

Science Conference Proceedings (OSTI)

... Atomic weight of gallium, p. 409 Lundell, GEF; Hoffman, JI http://dx ... Design and construction of an experimental diffusion battery, p. 441 Proffitt, MJ ...

2012-10-04T23:59:59.000Z

154

Pages that link to "Fuels & Efficiency" | Open Energy Information  

Open Energy Info (EERE)

Cars: Case Study of Stockholm and Sweden ( links) The BEST Experiences with Bioethanol Buses ( links) UNDP-GEF Fuel Cell Bus Programme: Update ( links) View...

155

Impact of Aerosols on Atmospheric Attenuation Loss in Central Receiver Systems: Preprint  

Science Conference Proceedings (OSTI)

Atmospheric attenuation loss between the heliostat field and receiver has been recognized as a significant source of loss in Central Receiver Systems. In clear sky situations, extinction of Direct Normal Irradiance (DNI) is primarily by aerosols in the atmosphere. When aerosol loading is high close to the surface the attenuation loss between heliostat and receivers is significantly influenced by the amount of aerosols present on a particular day. This study relates measured DNI to aerosol optical depths close to the surface of the earth. The model developed in the paper uses only measured DNI to estimate the attenuation between heliostat and receiver in a central receiver system. The requirement that only a DNI measurement is available potentially makes the model a candidate for widespread use.

Sengupta, M.; Wagner, M. J.

2011-08-01T23:59:59.000Z

156

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

157

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.

158

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

159

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.

160

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

Science Conference Proceedings (OSTI)

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

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

2012-12-01T23:59:59.000Z

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-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

162

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

163

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

164

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.

165

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

166

NOAA's Second-Generation Global Medium-Range Ensemble Reforecast Dataset  

Science Conference Proceedings (OSTI)

A multidecadal ensemble reforecast database is now available that is approximately consistent with the operational 0000 UTC cycle of the 2012 NOAA Global Ensemble Forecast System (GEFS). The reforecast dataset consists of an 11-member ensemble run once ...

Thomas M. Hamill; Gary T. Bates; Jeffrey S. Whitaker; Donald R. Murray; Michael Fiorino; Thomas J. Galarneau Jr.; Yuejian Zhu; William Lapenta

2013-10-01T23:59:59.000Z

167

Alternative Energy Development and China's Energy Future  

E-Print Network (OSTI)

GoC/World Bank/GEF China Renewable Energy Scale-up Programleading investor in renewable energy, China also surpassedEric, 2011, Renewable Energy in China. Available online:

Zheng, Nina

2012-01-01T23:59:59.000Z

168

Nr. 170 / 2013 // 24. Juni 2013 KinderUni am 26. Juni: Du lgst doch!  

E-Print Network (OSTI)

-Botanischen Garten" sprechen wird. Die Vielfalt an Pflanzenarten und das kleinräumige Mosaik unterschiedlicher Lebensräume im ?kologisch-Botanischen Garten haben dazu geführt, dass sich hier eine Vielzahl von Tierarten

Ott, Albrecht

169

Nr. 169 / 2013 // 24. Juni 2013 KinderUni mit Professor Kannowski bei  

E-Print Network (OSTI)

beobachten im ?kologisch-Botanischen Garten" referieren. Die Vielfalt an Pflanzenarten und das kleinräumige Mosaik unterschiedlicher Lebensräume im ?kologisch-Botanischen Garten haben dazu geführt, dass sich hier

Ott, Albrecht

170

Nr. 174 / 2013 // 25. Juni 2013 KinderUni am 26. Juni: Du lgst doch!  

E-Print Network (OSTI)

: Tiere beobachten im ?kologisch- Botanischen Garten" sprechen wird. Die Vielfalt an Pflanzenarten und das kleinräumige Mosaik unterschiedlicher Lebensräume im ?kologisch-Botanischen Garten hat dazu geführt, dass sich

Ott, Albrecht

171

Notiz Nr. 18 / 2011 // 13. Mai 2011 Notizen aus der Universitt Bayreuth  

E-Print Network (OSTI)

Garten im Rahmen einer Botanische Mittagspause. Jeden Mittwoch im Mai und Juni wird bei einem ?kologisch-Botanischen Garten der Universität Bayreuth geführt. Treffpunkt ist der Eingang des Gartens

Ullmann, G. Matthias

172

Prsente l'UFR de Sciences de l'Universit de CAEN pour obtenir le titre de  

E-Print Network (OSTI)

comme par exemple la r´eaction 253 Es(, n)256 Md qui formera l'´el´ement Mend´el´evium Z = 101 [Ghi55b . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 2.5.2 Position X . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 2.5.3 Position

173

992.ps  

E-Print Network (OSTI)

Ui(x, t)2/2 + ghi(x, t)] = 0. In terms of the functions Ui and hi, the quasilinear system can be written as ..... characteristic curves that enter the nodes. To obtain these ...... search (that is an approximate onedimensional minimization) is performed.

174

ADVANCE COPY FOR DISCUSSION The India State Hunger Index: Comparisons Of Hunger Across States  

E-Print Network (OSTI)

Indias GHI 2008 score is 23.7, which ranks it 66 th out of 88 countries. This indicates continued poor performance at reducing hunger in India. The India State Hunger Index (ISHI) 2008 was constructed in a similar fashion as the GHI 2008 to enable comparisons of states within India, and to compare Indian states to GHI 2008 scores and ranks for other countries. The ISHI 2008 score was estimated for 17 major states in India, covering more than 95 percent of the population of India. ISHI 2008 scores for Indian states range from 13.6 for Punjab to 30.9 for Madhya Pradesh, indicating substantial variability among states in India. Punjab is ranked 34 th when compared to the GHI 2008 country rankings, while Madhya Pradesh is ranked 82 nd. All 17 states have ISHI scores that are well above the low and moderate hunger categories. Twelve of the 17 states fall into the alarming category, and one ? ? Madhya Pradesh into the extremely alarming category. ISHI scores are closely aligned with poverty, but there is little association with state

Purnima Menon; Anil Deolalikar; Anjor Bhaskar

2008-01-01T23:59:59.000Z

175

SOLAR MONITORING, FORECASTING, AND VARIABILITY ASSESSMENT AT SMUD NEO Virtus Engineering Inc.  

E-Print Network (OSTI)

horizontal irradiance (DHI) data. These data are compared with the 1km and 10 km grid satellite DNI on the distribution network. SMUD's grant partners and subcontractors on the project include Hawaiian Electric Company variability relationships as well as satellite based irradiance datasets. The data cleanup methods

Perez, Richard R.

176

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

177

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.

178

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.

179

 

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

180

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

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

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.

182

Development of Concentrating Solar Thermal Power  

E-Print Network (OSTI)

(Draft under Consideration by the World Bank) In May 2004, the World Bank submitted a status report on the GEF co-financed solar thermal portfolio to the GEF Council. In response to Council comments, the Bank subsequently commissioned an external assessment of the World Bank/GEFs strategy for the market development of concentrating solar thermal power. The consultant was selected through a competitive procurement process, following World Bank procedures. The selected consortium, the Global Research Alliance, is led by CSIR-South Africa, and includes the Fraunhofer Institute for Systems and Innovation Research, Fraunhofer Institute for Solar Energy Systems, and CSIRO-Australia. The reports findings and recommendations are now under consideration by the World Bank. Council Members are invited to comment on the report, by July 15, 2005.

Gef Council; Concentrating Solar; Thermal Power; Copied To Mr. Rohit Khanna; Senior Operations Officer; Steve Szewczuk; Csir South Africa; Thomas Engelmann; Michael Geyer; Juan Granados; Andreas Haeberle; Haeussermann Tewfik Hasni; David Kearney; Ludger Lorych; Thomas Mancini; Abdellah Mdarhri; Paul Nava; Joachim Nick-leptin; Hani El Nokrashy; Robert Pitz; Klaus-peter Pischke; Hank Price; Jrgen Ratzinger; Thomas Rueckert; David Saul; Franz Trieb; Christine Woerlen

2005-01-01T23:59:59.000Z

183

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

184

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

185

Validation of the NSRDB-SUNY global horizontal irradiance in California  

Science Conference Proceedings (OSTI)

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

186

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.

187

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.

188

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

189

Concentrating Photovoltaics  

Science Conference Proceedings (OSTI)

Concentrating photovoltaics (CPV) are a promising alternative to flat-plate photovoltaics in high direct normal irradiance (DNI) environments. The technologys basic operating characteristics offer significant upside compared with other solar technologies: higher system efficiencies of upwards of 30%+; higher capacity factors, generated through two-axis tracking, exceeding 30% in ideal locations; lower cellular degradation from heat compared to flat-plate PV; lower water requirements; and reduced footpri...

2010-11-19T23:59:59.000Z

190

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

191

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

192

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

193

Sonja Deppisch (Hrsg.) Transdisziplinre Impulse  

E-Print Network (OSTI)

Jahresverlauf hervorra- gend - aufgrund von regeltechnischen Pro- blemen werden aber zunehmend Wind- kraftwerke Wind- kraftwerke abgeschaltet. Wertvolle Energie wird so nicht genutzt. Gefördert vom Bund und Land- schaftlichen Geräte (Beispiel: Kosten für ein studentenmikroskop ca. 1000 eur), konnten durch dieses re-Investitions

von Storch, Hans

194

STUDIEREN AN DER FRIEDRICH-ALEXANDER-UNIVERSITT ERLANGEN-NRNBERG 11September  

E-Print Network (OSTI)

Jahresverlauf hervorra- gend - aufgrund von regeltechnischen Pro- blemen werden aber zunehmend Wind- kraftwerke Wind- kraftwerke abgeschaltet. Wertvolle Energie wird so nicht genutzt. Gefördert vom Bund und Land- schaftlichen Geräte (Beispiel: Kosten für ein studentenmikroskop ca. 1000 eur), konnten durch dieses re-Investitions

Sanderson, Yasmine

195

D-BAUGDepartement Bau, Umwelt und Geomatik [ Department of Civil, Environmental and Geomatic Engineering  

E-Print Network (OSTI)

Jahresverlauf hervorra- gend - aufgrund von regeltechnischen Pro- blemen werden aber zunehmend Wind- kraftwerke Wind- kraftwerke abgeschaltet. Wertvolle Energie wird so nicht genutzt. Gefördert vom Bund und Land- schaftlichen Geräte (Beispiel: Kosten für ein studentenmikroskop ca. 1000 eur), konnten durch dieses re-Investitions

196

Modulhandbuch Wirtschaftsingenieurwesen (M.Sc.)  

E-Print Network (OSTI)

geführt, dass man für eine bestimmte Investitions- summe im Laufe der Zeit immer mehr Rechen- leistung- Investition von 2 Mio EUR Gesamtkosten in Höhe von 5,5 Mio EUR impliziert. Die Kostenaufteilung ist betrachtet wird (,,HPC as a Service") wird die Investition vor dem Hintergrund der hohen Fixkosten sinnvoll

Stein, Oliver

197

s p e c t r u m ...das Magazin der TU Kaiserslautern  

E-Print Network (OSTI)

Jahresverlauf hervorra- gend - aufgrund von regeltechnischen Pro- blemen werden aber zunehmend Wind- kraftwerke Wind- kraftwerke abgeschaltet. Wertvolle Energie wird so nicht genutzt. Gefördert vom Bund und Land- schaftlichen Geräte (Beispiel: Kosten für ein studentenmikroskop ca. 1000 eur), konnten durch dieses re-Investitions

Madlener, Klaus

198

DGF-Graduiertenkollegs mit Beteiligung der Universitt Potsdam Schriftbildlichkeit: ber Materialitt, Wahrnehmbarkeit und  

E-Print Network (OSTI)

gefördert durch die Deutsch-Französische Hochschule) (Romanistik) International Doctorate for Experimental Biochemie und Biologie Institut für Chemie Institut für Ernährungswissenschaft Institut für Geographie -prüfung (BAM) Deutsches Elektronen-Synchrotron ­ DESY Hamburg Deutsches Elektronen-Synchrotron ­ DESY

Potsdam, Universität

199

Energieleitbild Neben dem direkten Energieeinsatz fr den Betrieb der eige-  

E-Print Network (OSTI)

erneuerbare Energie an der ETH» eingeladen, an der Erneuerung des Energieleitbilds mit- zuarbeiten. Diese-Präsident Ralph Eichler die Mitglieder der Studierenden- gruppe «Arbeitsgruppe für erneuerbare Energie an der ETH- parent gefällt und kommuniziert werden.» Claudio Beretta, Gruppe «Arbeitsgruppe für erneuerbare Energie

200

EINBLICKE Nr. 32 / Herbst 2000 Carl von Ossietzky Universitt Oldenburg  

E-Print Network (OSTI)

Energieerträge kompensiert. Wie bei der Windenergie- nutzung an Land wird ein Erfolg der Offshore-Nutzung jedoch Windenergie Von Detlev Heinemann und Hans-Peter Waldl Nur wenige neue Technologien haben in derart kurzer Zeit geführt wie die Nutzung der Windenergie. Dieser Beitrag will den aktuellen Stand sowie die zukünftige

Heinemann, Detlev

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201

COOPERATIVE INSTITUTE FOR RESEARCH IN ENVIRONMENTAL SCIENCES Coverimage:IcecrystalsformingonawindowduringacoldJanuarymorning  

E-Print Network (OSTI)

Energieerträge kompensiert. Wie bei der Windenergie- nutzung an Land wird ein Erfolg der Offshore-Nutzung jedoch Windenergie Von Detlev Heinemann und Hans-Peter Waldl Nur wenige neue Technologien haben in derart kurzer Zeit geführt wie die Nutzung der Windenergie. Dieser Beitrag will den aktuellen Stand sowie die zukünftige

Colorado at Boulder, University of

202

OPERATION OF MODERN DISTRIBUTION POWER SYSTEMS IN COMPETITIVE  

E-Print Network (OSTI)

Energieerträge kompensiert. Wie bei der Windenergie- nutzung an Land wird ein Erfolg der Offshore-Nutzung jedoch Windenergie Von Detlev Heinemann und Hans-Peter Waldl Nur wenige neue Technologien haben in derart kurzer Zeit geführt wie die Nutzung der Windenergie. Dieser Beitrag will den aktuellen Stand sowie die zukünftige

Hu, Weihao

203

Neue Studiengnge TUM: Agenda Lehre  

E-Print Network (OSTI)

Energieerträge kompensiert. Wie bei der Windenergie- nutzung an Land wird ein Erfolg der Offshore-Nutzung jedoch Windenergie Von Detlev Heinemann und Hans-Peter Waldl Nur wenige neue Technologien haben in derart kurzer Zeit geführt wie die Nutzung der Windenergie. Dieser Beitrag will den aktuellen Stand sowie die zukünftige

Kemper, Gregor

204

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

205

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.

206

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

207

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

208

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

209

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.

210

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

211

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

212

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.

213

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.

214

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

215

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)

216

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

217

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.

218

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

219

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)

220

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

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

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

222

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

223

DFG-Graduiertenkollegs Integriertes GRK des SFB 632 ,,Informationsstruktur: Die sprachlichen  

E-Print Network (OSTI)

Gefördert von der Deutsch-Französischen Hochschule EDI ­ Ecole Doctorale Internationale "Culturale Education-Naturwissenschaftliche Fakultät Institut für Biochemie und Biologie Institut für Chemie Institut für Ernährungswissenschaft-Wegener-Institut für Polar- und Meeresforschung, Forschungsstelle Potsdam (AWI) Deutsches Elektronen-Synchrotron ­ DESY

Potsdam, Universität

224

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

225

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

226

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

227

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

228

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

229

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

230

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]

231

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,

232

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]

233

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]

234

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

235

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

236

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]

237

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,

238

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,

239

Preliminary Analysis of Energy Storage Options for Hydrogen Fuel Cell Buses for Urban Transport  

Science Conference Proceedings (OSTI)

The United Nations Development Program/Global Environment Facility (UNDP/GEF) Fuel Cell Bus Project will develop a fuel cell transit bus by combining two Ballard automotive fuel cells with an energy storage system. The battery system will be an important component of the bus and will assist the fuel cell systems (FC-S) to store regenerative baking energy in the hybrid system. The battery also has the potential to increase fuel cell system performance, efficiency, and durability by reducing FC-S transient...

2010-01-18T23:59:59.000Z

240

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)

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

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.

242

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

243

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

244

Correlations in Characteristic Data of Concentrator Photovoltaics (Poster)  

SciTech Connect

This study is motivated by a reported 1-2% infant mortality rate in concentrator photovoltaic cell assemblies. Approximately 650 bare III-V multi-junction PV cells were initially characterized via electroluminescence imaging and both light and dark current-voltage responses were recorded. The cells were then packaged into receivers and their IV response again evaluated both before and after an outdoor high concentration exposure of at least four hours above 750 DNI. Correlations exist between the initial dark IV characteristic and artifacts found in the EL image. Initial results also suggest that artifacts observed in the bare cell may serve as an indicator for early on-sun degradation, though may not be able to predict the infant mortality population.

Sweet, C.; Bosco, N.; Kurtz, S.

2011-02-01T23:59:59.000Z

245

Direct imaging of neural currents using ultra-low field magnetic resonance techniques  

DOE Patents (OSTI)

Using resonant interactions to directly and tomographically image neural activity in the human brain using magnetic resonance imaging (MRI) techniques at ultra-low field (ULF), the present inventors have established an approach that is sensitive to magnetic field distributions local to the spin population in cortex at the Larmor frequency of the measurement field. Because the Larmor frequency can be readily manipulated (through varying B.sub.m), one can also envision using ULF-DNI to image the frequency distribution of the local fields in cortex. Such information, taken together with simultaneous acquisition of MEG and ULF-NMR signals, enables non-invasive exploration of the correlation between local fields induced by neural activity in cortex and more `distant` measures of brain activity such as MEG and EEG.

Volegov, Petr L. (Los Alamos, NM); Matlashov, Andrei N. (Los Alamos, NM); Mosher, John C. (Los Alamos, NM); Espy, Michelle A. (Los Alamos, NM); Kraus, Jr., Robert H. (Los Alamos, NM)

2009-08-11T23:59:59.000Z

246

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.

247

Spatial Mapping of the Neurite and Soma Proteomes Reveals a Functional Cdc42/Rac Regulatory Network  

SciTech Connect

Neurite extension and growth cone navigation are guided by extracellular cues that control cytoskeletal rearrangements. However, understanding the complex signaling mechanisms that mediate neuritogenesis has been limited by the inability to biochemically separate the neurite and soma for spatial proteomic and bioinformatic analyses. Here, we apply global proteome profiling in combination with a novel neurite purification methodology for comparative analysis of the soma and neurite proteomes of neuroblastoma cells. The spatial relationship of 4855 proteins were mapped revealing networks of signaling proteins that control integrins, the actin cytoskeleton, and axonal guidance in the extending neurite. Bioinformatics and functional analyses revealed a spatially compartmentalized Rac/Cdc42 signaling network that operates in conjunction with multiple GEFs and GAPs to control neurite formation. Interestingly, RNA interference experiments revealed that the different GEFs and GAPs regulate specialized functions during neurite formation including neurite growth and retraction kinetics, cytoskeletal organization, and cell polarity. Our findings provide insight into the spatial organization of signaling networks that enable neuritogenesis and provide a comprehensive system-wide profile of proteins that mediate this process including those that control Rac and Cdc42 signaling.

Pertz, Olivier C.; Wang, Yingchun; Yang, Feng; Wang, Wei; gay, laurie J.; Gritsenko, Marina A.; Clauss, Therese RW; Anderson, David J.; Liu, Tao; Auberry, Kenneth J.; Camp, David G.; Smith, Richard D.; Klemke, Richard L.

2008-02-12T23:59:59.000Z

248

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

249

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

250

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

251

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.

252

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

253

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

254

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)

255

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

256

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

257

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

258

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

259

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

260

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

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

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

262

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

263

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

264

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

265

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

266

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)

267

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

268

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

269

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

270

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

271

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)

272

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

273

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:

274

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-

275

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

276

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

277

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

278

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)

279

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.

280

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

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.


281

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)

282

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,

283

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

284

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

285

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

286

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

287

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

288

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

289

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)

290

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

291

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)

292

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

293

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

294

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

295

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

296

 

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

297

A survey on polycyclic aromatic hydrocarbon concentrations in soil in Chiang-Mai, Thailand  

Science Conference Proceedings (OSTI)

Soil samples were collected at 30 sampling sites along roadsides in the city of Chiang-Mai, Thailand, in February 1996, and concentrations of 16 polycyclic aromatic hydrocarbons (PAHs) were determined. The distribution of PAH concentration in the soil samples was almost log-normal for all PAHs. Concentrations of pyrene (Py) and fluoranthene (Fluor) were the highest, followed by those of benzo[ghi]perylene and coronene (Cor). Since PAH concentrations were highest on the roadside where the traffic density was high, vehicles were the main determinants of PAH concentration in soil in Chiang-Mai. Significant correlations among PAH concentrations were found for almost all PAHs. PAH profiles in the air were different from those in the soil. For example, relative benzo[a]pyrene (BaP) concentration in the soil was significantly lower than that in the air. Relative concentrations of Fluor, Py, chrysene, and Cor in the soil were considerably higher than those in the air, due presumably to their difference in photochemical reactivities and in sources. The sampling of soil has advantages relative to that of air: (1) collection of soil is easy; (2) it needs no special equipment and electricity; (3) it takes little time; and (4) it can be collected anywhere. Therefore PAH analysis in soil was useful as a proxy-screening tool for air pollution levels with consideration of compositional differences between soil and air samples.

Amagai, Takashi; Takahashi, Yukari; Matsushita, Hidetsuru [Univ. of Shizuoka (Japan); Morknoy, D.; Sukasem, P.; Taucanon, M. [Technopolis, Pathumthani (Thailand). Environmental Research and Training Center

1999-07-01T23:59:59.000Z

298

Assessment of fission product yields data needs in nuclear reactor applications  

Science Conference Proceedings (OSTI)

Studies on the build-up of fission products in fast reactors have been performed, with particular emphasis on the effects related to the physics of the nuclear fission process. Fission product yields, which are required for burn-up calculations, depend on the proton and neutron number of the target nucleus as well as on the incident neutron energy. Evaluated nuclear data on fission product yields are available for all relevant target nuclides in reactor applications. However, the description of their energy dependence in evaluated data is still rather rudimentary, which is due to the lack of experimental fast fission data and reliable physical models. Additionally, physics studies of evaluated JEFF-3.1.1 fission yields data have shown potential improvements, especially for various fast fission data sets of this evaluation. In recent years, important progress in the understanding of the fission process has been made, and advanced model codes are currently being developed. This paper deals with the semi-empirical approach to the description of the fission process, which is used in the GEF code being developed by K.-H. Schmidt and B. Jurado on behalf of the OECD Nuclear Energy Agency, and with results from the corresponding author's diploma thesis. An extended version of the GEF code, supporting the calculation of spectrum weighted fission product yields, has been developed. It has been applied to the calculation of fission product yields in the fission rate spectra of a MOX fuelled sodium-cooled fast reactor. Important results are compared to JEFF-3.1.1 data and discussed in this paper. (authors)

Kern, K.; Becker, M.; Broeders, C. [Institut fuer Neutronenphysik und Reaktortechnik, KIT Campus Nord, Hermann-von-Helmholtz-Platz 1, 76344 Leopoldshafen (Germany)

2012-07-01T23:59:59.000Z

299

Photovoltaic concentrator module improvements study  

DOE Green Energy (OSTI)

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

300

Solar Resource Assessment for Sri Lanka and Maldives  

DOE Green Energy (OSTI)

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

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.


301

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

302

Recovery of semi-volatile organic compounds during sample preparation: Compilation for characterization of airborne particulate matter  

DOE Green Energy (OSTI)

Semi-volatile compounds present special analytical challenges not met by conventional methods for analysis of ambient particulate matter (PM). Accurate quantification of PM-associated organic compounds requires validation of the laboratory procedures for recovery over a wide volatility and polarity range. To meet these challenges, solutions of n-alkanes (nC{sub 12} to nC{sub 40}) and polycyclic aromatic hydrocarbons PAHs (naphthalene to benzo[ghi]perylene) were reduced in volume from a solvent mixture (equal volumes of hexane, dichloromethane and methanol), to examine recovery after reduction in volume. When the extract solution volume reached 0.5 mL the solvent was entirely methanol, and the recovery averaged 60% for n-alkanes nC{sub 12} to nC{sub 25} and PAHs from naphthalene to chrysene. Recovery of higher MW compounds decreased with MW, because of their insolubility in methanol. When the walls of the flasks were washed with 1 mL of equal parts hexane and dichloromethane (to reconstruct the original solvent composition), the recovery of nC{sub 18} and higher MW compounds increased dramatically, up to 100% for nC{sub 22}-nC{sub 32} and then slowly decreasing with MW due to insolubility. To examine recovery during extraction of the components of the High Capacity Integrated Gas and Particle Sampler, the same standards were used to spike its denuders and filters. For XAD-4 coated denuders and filters, normalized recovery was > 95% after two extractions. Recovery from spiked quartz filters matched the recovery from the coated surfaces for alkanes nC{sub 18} and larger, and for fluoranthene and larger PAHs. Lower MW compounds evaporated from the quartz filter with the spiking solvent. This careful approach allowed quantification of organics by correcting for volatility- and solubility-related sample preparation losses. This method is illustrated for an ambient sample collected with this sampler during the Texas Air Quality Study 2000.

Swartz, Erick; Stockburger, Leonard; Gundel, Lara

2002-05-01T23:59:59.000Z

303

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

304

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.

305

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

306

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.

307

Genetic Variation in DNA of Coho Salmon from the Lower Columbia River : Final Report 1993.  

DOE Green Energy (OSTI)

The goal of this project was to develop techniques to provide the information needed to determine if Lower Columbia River coho salmon represent a 'species' under the Endangered Species Act. Our report features two new nuclear DNA approaches to the improved detection of genetic variation: (1) Studies of DNA-level genetic variation for two nuclear growth hormone genes; (2) Use of arbitrary DNA primers (randomly amplified polymorphic DNA, or 'RAPD' primers) to detect variation at large numbers of nuclear genes. We used the polymerase chain reaction (PCR) to amplify variable sections (introns) of two growth hormone genes (GH-I and G/f-Z) in several salmonid species. Coho salmon had three DNA length variants for G/-I intron C. Restriction analysis and sequencing provided valuable information about the mode of evolution of these DNA sequences. We tested segregation of the variants in captive broods of coho salmon, and demonstrated that they are alleles at a single Mendelian locus. Population studies using the GH-1 alleles showed highly significant frequency differences between Lower Columbia River and Oregon Coast coho salmon, and marginal differences among stocks within these regions. These new markers are adequately defined and tested to use in coho salmon population studies of any size. The nature of the variation at GH-1 (Variable Number Tandem Repeats, or 'VNTRs') suggests that more genetic variants will be found in coho salmon from other areas. GH-2 intron C also showed length variation in coho salmon, and this variation was found to be sex-linked. Because PCR methods require minute amounts of tissue, this discovery provides a technique to determine the gender of immature coho salmon without killing them. Chinook salmon had restriction patterns and sequence divergences similar to coho salmon. Thus, we expect that sex linkage of GH-2 alleles predates the evolutionary divergence of Pacific salmon species, and that gender testing with this system will work on the entire group. Rainbow trout do not show this sex-linked variation. Genetic markers detected by DNA amplification using arbitrary 10-basepair primers (Randomly Amplified Polymorphic DNA, or 'RAPD' markers), are the newest and most promising method of assessing variation at large numbers of genetic loci. We have demonstrated the inheritance of these markers in rainbow trout, and we have found multiple variable genetic markers in coho salmon. Feasibility studies on the use of RAPDs on large salmon collections are described.

Fobes, Stephen; Knudsen, Kathy; Allendorf, Fred

1993-04-01T23:59:59.000Z

308

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

309

Identification of Pseudomonas aeruginosa via a poplar tree model  

E-Print Network (OSTI)

Differential gene expression of P. aeruginosa in a rhizosphere biofilm on poplar tree roots was examined in order to identify new virulence factors from this human pathogen. Changes in gene expression for poplar trees contacted with P. aeruginosa was examined as well to identify the response of poplar roots to P. aeruginosa infection. This is the first study of the whole-transcriptome analysis of P. aeruginosa on a plant tree root. The 20 most highly-induced genes of P. aeruginosa were examined for their role in biofilm formation, rhizosphere colonization, barley germination, and poplar tree killing assays. Seven previously uncharacterized virulence genes (PA1385, PA2146, PA2462, PA2463, PA2663, PA4150, and PA4295) were identified. The role of PA2663, a hypothetical protein discovered in the microarrays of P. aeruginosa while killing poplar trees, was examined in further detail. Expression of PA2663 protein increases biofilm formation in P. aeruginosa PAO1 drastically. By complementing the PA2663 mutation in trans and by studying with DNA microarrays and RT-PCR the PA2663 mutant vs. the wild-type strain, PA2663 was confirmed to be related to biofilm formation and was found that it is the first protein to control the psl operon in P. aeruginosa PAO1. Furthermore, PA2663 protein increases pyoverdine synthesis and quorum sensing (QS)- regulated phenotypes. A biofilm formation-related hypothetical protein, PA0939, was identified in this study. The effects of indole and 7-hydroxyindole on P. aeruginosa virulence factors were also examined for the first time. Indole and 7HI repressed expression of mexGHI-opmD multidrug efflux pump genes and genes involved in synthesis of QS-regulated virulence factors (pyocyanin, rhamnolipid, PQS, and pyoverdine production). In addition, the effects of an anti-cancer uracil analog, 5-fluorouracil (5-FU) on P. aeruginosa virulence factors and E. coli K-12 biofilm formation were examined. 5-FU repressed biofilm formation, abolished quorum-sensing phenotypes, and reduced virulence in P. aeruginosa. DNA microarray and biofilm studies with 5-FU in E. coli revealed that 5-FU controls biofilm formation through the AriR protein in E. coli K-12 strain. The effects of lsrR and lsrK mutations on E. coli biofilm formation were also examined by flow cell experiments.

Attila, Can

2008-12-01T23:59:59.000Z

310

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.

311

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.

312

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.

313

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.

314

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.

315

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.