Abstract
Satellite-Based Solar Energy Mapping Using GIS Track: Modeling Author(s): David Colville, Vladimir Kostylev, Steven Bird, Alexandre Pavlovski Provincial and municipal governments, policy makers, landowners, and developers as well as companies interested in the production of energy from renewable energy sources can greatly benefit from solar energy resource maps. Such maps have proven useful for planning power system diversification and reliability. We have developed an ArcGIS-based solution for calculating solar irradiation by processing imagery obtained by NASA GOES satellites. A regional level (Atlantic Canada) assessment and mapping of solar energy was then conducted. ArcGIS was used to calculate solar irradiation maps from pixel values adjusted by dynamic pixel range obtained from the long-term climatology. This methodology resulted in a spatially explicit map of solar energy for a time span from hours to decades. The modeling results have been compared to existing pyranometer data. The satellite-based approach to solar energy resource mapping used here can predict solar radiation in the region to a spatial resolution of 1 km. David Colville AGRG-COGS-NSCC Geomatics 50 Elliott Road Lawrencetown , Nova Scotia B0S 1M0 CA Phone: 902-825-5476 Fax: 902-825-5479 E-mail: David.Colville@nscc.ca Vladimir Kostylev Green Power Labs Inc. One Research Drive Dartmouth , Nova Scotia B2Y 4M9 CA Phone: 902-466-6475 E-mail: vlko.greenpowerlabs.com Steven Bird Applied Geomatics Research Group, COGS, NSCC 50 Elliott Road Lawrencetown , Nova Scotia B0S 1M0 CA Phone: 902-825-5478 E-mail: Steven.Bird@nscc.ca Alexandre Pavlovski Green Power Labs Inc. One Research Drive Dartmouth , Nova Scotia B2Y 4M9 CA Phone: 902-466-6475 E-mail: ampavlovski@greenpowerlabs.com |
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