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Delineating Optimal Solar Sites in Atlanta Using GIS and Remote Sensing

Appiah, Sam Yaw
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Abstract

Increasing global energy demand presents the challenge of insufficient supply of energy in cities and an ever-increasing carbon footprint. Out of the plethora of renewable energy options, solar energy presents the most viable option as it is geographically unconstrained. Implementation of a solar project requires solar resource assessment and consideration of limiting factors such as slope aspect, temperature and GHI. Multi-criteria selection method is often used in delineating optimal site for the establishment of solar farms. The purpose of this study was to determine solar index of optimal site selection for solar farms by using satellite images, GIS and AHP in the study area. The final composite index yielded the three categorizations of least suitable, moderately suitable, and most suitable areas. The resulting size and percentage of the study area optimal for solar panels was 3% and 234.96 sq km respectively.

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Date
2021-12-14
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Research Projects
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Keywords
Solar Resource Assessment, Heliosat, AHP, GIS, Remote Sensing
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