SWERA/Data

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Solar and Wind Energy Resource Assessment (SWERA)

Data Sets Used in SWERAPowered by OpenEI

GIS Data

The underlying renewable energy information SWERA database is available to a user as GIS data. These data are distributed as shape file and image formats. Most open source and commercial GIS, internet mapping and image processing software can read these formats.


The available data includes two sources of information:

  1. The underlying data from which the maps are comprised, which may also include information on seasonal and diurnal resource characteristics. These data can be incorporated directly into standard GIS software, and into many analytical tools that require resource data to simulate technology performance; and
  2. Relevant geospatial data for each country, which can include terrain and land use information, road and railway networks, locations of population centers, energy facilities, ports, and location of transmission lines.

Solar Tilt

Solar Resource Information


Expand the categories to view the available Solar Tilt data and maps.

 
Solar Tilt Data

 
Solar Tilt Maps


Solar DNI

Solar Resource Information


Expand the categories to view the available Solar DNI data and maps.

 
Solar DNI Data

 
Solar DNI Maps


Solar GHI

Solar Resource Information


Expand the categories to view the available Solar GHI data and maps.

 
Solar GHI Data

 
Solar GHI Maps


Wind

Wind Resource Information


Expand the categories to view the available Wind data and maps.

 
Wind Maps


Climate

Climate Layers Information


Expand the categories to view the available Climate data.


Typical Meteorological Year

TMY Resource Information


Expand the categories to view the available TMY data and maps.

 
TMY Maps


Geospatial Toolkit

Click here for more information on the GsT.


Expand the categories to view the available GsT data and tools.

Documentation and Methodology

Expand the categories to view the available data documentation. The documents accessed here provide documentation on the analysis methodology and tools employed by data providers to estimate the solar and wind resources.