Fossil fuels and non-renewable resources are being replaced with, as modern day society has coined the term, green energy. This movement towards green energy creates a demand for renewable energy resources, such as solar photovoltaic (PV) systems. This study used Geographic Information Systems (GIS) in conjunction with Remote Sensing (RS) practices and two weighting systems the Analytical Hierarchy Process (AHP) and Rank-Order methods for PV site selection. Six multi-criteria models were developed using spatial factors and constraining images to locate potential photovoltaic power plant sites for three settings of fixed axis PV arrays. This analysis was performed at a macro regional scale and further analysis is encouraged for micro site selection.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hig-15859 |
| Date | January 2011 |
| Creators | Bartel, Kyle |
| Publisher | Högskolan i Gävle, Akademin för teknik och miljö |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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