Advanced Geospatial Analysis for Solar Energy Siting

Authors: Abrar Almalki*,
Topics: Geographic Information Science and Systems, Geographic Information Science and Systems
Keywords: GIS, Solar Siting, Renewable Energy, USA, NC, North Carolina, AHP.
Session Type: Poster
Day: 4/4/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: Download



Abstract:
The world is shifting to more sustainable development. One of the most important energy sources of the renewable energy sources provides power with less effects on the environment. One of the sustainable sources ,Solar Energy, is one of the most clean sources with a promising demand in future, high payback cost, provide independence, and have unlimited stock. The siting of renewable energy is determined by a spatially and temporally complex relationship of engineering requirements, as well as environmental, economic, social, and public health considerations.. This research investigates siting of solar energy plants in North Carolina using multicriteria decision method Analytical Hierarchy Process (AHP) to select alternative and preferred siting locations in NC. This method allow for multiple scenarios and has the ability to weigh and rank input variables to capture and analyze the business-decision requirements. The results of this method will provide decision makers with an alternative siting locations for solar generators in minimal cost and effects.

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