Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran

Selection of suitable sites for solar power plants requires spatial evaluation taking technical, economic, and environmental considerations into account. This research has applied a fuzzy logic model to carry out spatial site selection for solar power plants in Markazi Province of Iran. Geographical...

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Bibliographic Details
Published inEnergies (Basel) Vol. 11; no. 7; p. 1648
Main Authors Yousefi, Hossein, Hafeznia, Hamed, Yousefi-Sahzabi, Amin
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 2018
Subjects
Boolean algebra
Case studies
Energy utilization
fuzzy
Fuzzy logic
Geographic information systems
GIS
Iran
Power plants
Site selection
Solar energy
Solar power
Spatial analysis
Iran
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Summary:Selection of suitable sites for solar power plants requires spatial evaluation taking technical, economic, and environmental considerations into account. This research has applied a fuzzy logic model to carry out spatial site selection for solar power plants in Markazi Province of Iran. Geographical Information System (GIS) capabilities have been used for spatial analysis and visualization of the research results. The suitable areas for solar power plants installation were identified by employing Boolean logic and defining a range of selection criteria all of which were evaluated by fuzzy functions. The raster layers of Boolean and fuzzy logic have been combined to come up with suitable sites with solar energy potential. The results identified some areas in the vicinity of Mahalat and Zarandineh cities as suitable for solar energy utilization. The research also validated the employed combined method as a suitable site selection approach for solar power plants.
ISSN:1996-1073
1996-1073
DOI:10.3390/en11071648