Multicriteria-GIS建模的风能和太阳能农场在科罗拉多州.pdfVIP

Renewable Energy 35 (2010) 2228e2234 Contents lists available at ScienceDirect Renewable Energy journal homepage: /locate/renene Multicriteria GIS modeling of wind and solar farms in Colorado Jason R. Janke * Metropolitan State College of Denver, Department of Earth and Atmospheric Sciences, CB 22 P.O. Box 173362-22, Denver, CO 80217-3362, United States a r t i c l e i n f o a b s t r a c t Article history: The majority of electricity and heat in Colorado comes from coal and natural gas; however, renewable Received 23 March 2009 energy sources will play an integral role in the state’s energy future. Colorado is the 11th windiest state Accepted 14 March 2010 and has more than 250 sunny days per year. The objectives of this research are to: 1) determine which Available online 8 April 2010 landcover classes are affiliated with high wind and solar potential; and 2) identify areas that are suitable for wind and solar farms using multicriteria GIS modelling techniques. Renewable potential (NREL wind Keywords: speed measurements at 50 m above the ground and NREL annual insolation data), landcover, population Solar and wind farms density, federal lands, and distance to roads, transmission lines, and cities were reclassified according to Colorado GIS their suitability. Each was assigned weights based on their relative importance to one