Locate solar panels using climate indices and GIS (Case study: Khuzestan)

Subject Areas : Renewable Energy

Mokhtar Karami ¹ , Rasol Sarvestan ²

1 - Department of Geography, Hakim Sabzevari University, Sabzevar, Iran.
2 - PhD of Urban Climatology. Hakim Sabzevari University, Sabzevar, Iran* (Corresponding Author)

Received: 2017-05-30 Accepted : 2017-12-13 Published : 2022-04-21

Keywords: Mapping, Khuzestan, Fuzzy TOPSIS, solar panels, GIS,

Abstract :

Background and Objective: In this research, it is tried to find the location of solar panels using climate and geographic information systems in the province of Khuzestan. Material and Methodology: At first, climatic data (total annual precipitation, annual average, sunshine and number of days of dust) related to 21 meteorological stations and elevation, slope, tilt, fault, fault, land use and road layers as the most important climatic factors, Topography, environment and human environment, which were influenced by the amount of solar panels in GIS, were generated using the IDW method, then weighed according to the FTOPSIS model, and these layers were combined through the overlapping method and the layer layers To establish solar panels in the province was provided. Findings: After creating the layered layers, they were finally placed in the GIS environment by combining different layers of information and determining the weight of each information layer. The classification of the map of the solar panels in 5 highly desirable categories with (2.020-3.020- 3.050), in the desirable range (1.540-2.090), moderate (1.220-1.530), in the unfavorable range (941-1.210) and very unfavorable (512-940). Discussion and Conclusion: The study showed that, by combining different information layers and applying limitations and potentials, the eastern boundary zones including the cities of Dahdz and Izeh have the highest degree of utility in the construction of solar panels. The results also showed that the GIS as a decision support system and fuzzy overhead analysis process (FTOPSIS) is a flexible model for locating data in the selection of suitable solar panels.

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