The SARI/Energy Solar & Wind Resource Data focuses on promoting clean energy development through removal of resource information barriers in participating SARI/E countries.
SARI/Energy has developed high-resolution wind and solar resource maps and data products for Sri Lanka, Afghanistan, Pakistan, and the Maldives. The data were output in Geographic Information Systems (GIS) format and incorporated into a Geospatial Toolkit (GsT) for Sri Lanka, Afghanistan and Pakistan. The GsT allows the user to examine the resource data in a geospatial context along with other key information relevant to renewable energy development, such as transportation networks, transmission corridors, existing power facilities, load centers, terrain conditions, and land use.
To generate reliable, accurate wind and solar resource data and maps, NREL researchers developed advanced techniques that make use of meteorological and satellite data, models, custom computer software, and state-of-the-art geographic information system methods. Planners can use this data and maps to identify the best sites for wind, solar, and hybrid renewable energy systems, and to estimate the resources available at any site where renewable applications are contemplated. The resource maps can be combined with geographical, demographic and economic data to identify appropriate technologies and assist planners and developers on deployment options.
The high-resolution (1-km) annual wind power maps were developed using a numerical modeling approach along with NREL's empirical validation methodology. The high-resolution (10-km) annual and seasonal solar resource maps were developed using weather satellite data incorporated into a site-time specific solar mapping approach developed at the U.S. State University of New York at Albany. Data products from the wind and solar maps have been output in a GIS format and incorporated into the GsTs. Working within the GsT, the user can also incorporate location-specific data directly into NREL's Micropower Optimization Model, HOMER, to design least-cost hybrid renewable power systems to meet electric-load requirements at the village level.