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Solar Resources by Class and Country

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These estimates are derived from the best available solar resource data available to NREL. Resources are organized by class and country. Resolution varies spatially from 1 km to 1 degree (approximately 100 km) depending on the data source. High spatial resolution datasets (1 km to 40 km cells) were modeled to support country or regional projects. Where high resolution datasets were not available, data from NASA?s Surface Meteorology and Solar Energy (SSE) version 6 database were used.

The data represent total potential solar energy per year as a function of land area per solar class (`KWh/m/day`). Each solar class correlates to a specific `0.5 kWh/m/day` range. Energy is calculated by multiplying the productive land by the class, conversion efficiency and number of days per year. In this case, a standard calendar year of 365 days was used. The conversion efficiency rate applied was 10%.

`E = Productive Land * kWh/m/day * 365 days * 10% efficiency`

The solar data has been derived from solar data measured or modeled between 1961 and 2008, depending on the dataset.

Citation Formats

National Renewable Energy Laboratory. (2014). Solar Resources by Class and Country [data set]. Retrieved from https://data.openei.org/submissions/421.
Export Citation to RIS
Heimiller, Donna, Laboratory, National Renewable Energy. Solar Resources by Class and Country. United States: N.p., 25 Nov, 2014. Web. https://data.openei.org/submissions/421.
Heimiller, Donna, Laboratory, National Renewable Energy. Solar Resources by Class and Country. United States. https://data.openei.org/submissions/421
Heimiller, Donna, Laboratory, National Renewable Energy. 2014. "Solar Resources by Class and Country". United States. https://data.openei.org/submissions/421.
@div{oedi_421, title = {Solar Resources by Class and Country}, author = {Heimiller, Donna, Laboratory, National Renewable Energy.}, abstractNote = {These estimates are derived from the best available solar resource data available to NREL. Resources are organized by class and country. Resolution varies spatially from 1 km to 1 degree (approximately 100 km) depending on the data source. High spatial resolution datasets (1 km to 40 km cells) were modeled to support country or regional projects. Where high resolution datasets were not available, data from NASA?s Surface Meteorology and Solar Energy (SSE) version 6 database were used.

The data represent total potential solar energy per year as a function of land area per solar class (`KWh/m/day`). Each solar class correlates to a specific `0.5 kWh/m/day` range. Energy is calculated by multiplying the productive land by the class, conversion efficiency and number of days per year. In this case, a standard calendar year of 365 days was used. The conversion efficiency rate applied was 10%.

`E = Productive Land * kWh/m/day * 365 days * 10% efficiency`

The solar data has been derived from solar data measured or modeled between 1961 and 2008, depending on the dataset.}, doi = {}, url = {https://data.openei.org/submissions/421}, journal = {}, number = , volume = , place = {United States}, year = {2014}, month = {11}}

Details

Data from Nov 25, 2014

Last updated Nov 25, 2014

Submitted Nov 25, 2014

Organization

National Renewable Energy Laboratory

Contact

Donna Heimiller

Authors

Donna Heimiller

National Renewable Energy Laboratory

National Renewable Energy Laboratory

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