Date of Award

Fall 12-14-2021

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Geosciences

First Advisor

Lawrence Kiage

Second Advisor

Dajun Dai

Third Advisor

Ricardo Nogueira

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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