DocumentCode
121582
Title
GIS based analysis for photovoltaic deployment in the Southeast US
Author
Tisza, Kata ; Brame, Scott ; Anctil, Annick
Author_Institution
Dept. of Environ. Eng. & Earth Sci., Clemson Univ., Clemson, SC, USA
fYear
2014
fDate
8-13 June 2014
Firstpage
1001
Lastpage
1004
Abstract
The photovoltaic (PV) market development in the Southeast US has been experiencing a much slower growth compared to the Southwest, mainly due to low electricity costs and lack of solar incentives. However, the Southeast has probably significant potential to grow. In this work, a GIS based site-suitability analysis is performed to assess the feasible areas for a utility-scale PV deployment in four states with high population growth and good solar insolation. Besides the feasible areas, technical potential and capacity factors are also calculated. The results, together with newly established criteria, are used in a multi-criteria decision analysis (MCDA) established for a PV power plant. The MCDA is conducted to have a better understanding on how to prioritize development based on natural resource potential, technical feasibility but also economic factors such as solar incentives and installation costs.
Keywords
geographic information systems; photovoltaic power systems; power engineering computing; GIS-based site-suitability analysis; MCDA; PV market development; PV power plant; Southeast US; capacity factors; economic factors; electricity cost; geographic information systems; installation costs; multicriteria decision analysis; natural resource potential; photovoltaic deployment; solar incentives; solar insolation; technical potential; utility-scale PV deployment; Economics; Electric potential; Electricity; Photovoltaic systems; Renewable energy sources; Sociology; GIS; multi-criteria decision analysis; solar electricity; solar potential;
fLanguage
English
Publisher
ieee
Conference_Titel
Photovoltaic Specialist Conference (PVSC), 2014 IEEE 40th
Conference_Location
Denver, CO
Type
conf
DOI
10.1109/PVSC.2014.6925083
Filename
6925083
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