Document Type : Original Article
Authors
1
MSc student,, Department of Industrial Engineering, Faculty of engineering, Urmia University, Urmia, Iran.
2
Associate Professor, Department of Industrial Engineering, Faculty of engineering, Urmia University, Urmia, Iran.
3
Assistant professor, Department of Industrial Engineering, Faculty of Engineering. University of Kashan,. Kashan, Iran
Abstract
Following the recent development trend in the struggle to clean the environment, solar energy is considered as a clean energy, one of the most desirable alternatives to non-renewable resources. This paper presents an integrated approach to face the challenge of PV power plant site selection using analytical hierarchy process (AHP) and geographic information systems (GIS). The contribution of this research is in the development of an applicable approach for decision makers, in guiding the selection of the location of PV parks to achieve optimal performance and minimize costs, time and environmental effects. The important advantage of this research is the flexibility of the criteria's weight in the direction of the decision maker's goals. In this way, after determining the weight of the effective criteria, removing restrictions from the area and overlapping the weighted layers, an index called the Land Suitability Index (LSI) is defined. Based on this index, heavier areas are more favorable for building PV plants. Finally, the land suitability was grouped into five categories using the equal distance classification method. For further comparison, we tested two paths under the title of greater non-ecological weight and equal weight. The results showed that, like the basic approach, 22% of the area is ready to receive PV panels. However, the degree of suitability of some points in each approach had slight differences, which shows the flexibility of the chosen method. The decision maker can choose the appropriate path based on his goals.
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