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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/m²/day`). Each solar class correlates to a specific `0.5 kWh/m²/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/m²/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

TY - DATA AB - 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/m²/day`). Each solar class correlates to a specific `0.5 kWh/m²/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/m²/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. AU - Heimiller, Donna A2 - Laboratory, National Renewable Energy DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - KW - DNI KW - NASA KW - NREL KW - SSE KW - clean energy KW - energy KW - international KW - lat KW - resource assessment KW - solar KW - solar energy KW - solar per country KW - solar potential KW - solar power KW - solar resource KW - tilt LA - English DA - 2014/11/25 PY - 2014 PB - National Renewable Energy Laboratory T1 - Solar Resources by Class and Country UR - https://data.openei.org/submissions/421 ER -
Export Citation to RIS
Heimiller, Donna, and National Renewable Energy Laboratory. Solar Resources by Class and Country. National Renewable Energy Laboratory, 25 November, 2014, Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/421.
Heimiller, D., & Laboratory, N. (2014). Solar Resources by Class and Country. [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Laboratory. https://data.openei.org/submissions/421
Heimiller, Donna and National Renewable Energy Laboratory. Solar Resources by Class and Country. National Renewable Energy Laboratory, November, 25, 2014. Distributed by Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/421
@misc{OEDI_Dataset_421, title = {Solar Resources by Class and Country}, author = {Heimiller, Donna and 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/m²/day`). Each solar class correlates to a specific `0.5 kWh/m²/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/m²/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.}, url = {https://data.openei.org/submissions/421}, year = {2014}, howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Laboratory, https://data.openei.org/submissions/421}, note = {Accessed: 2025-05-10} }

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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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