Abstract

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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