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Solar power plant location using geographic information system (GIS) and density-based clustering algorithm (DBSCAN) (case study: Hormozgan province)
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Majedeh Daghbolandan   , Shahla Paslar * , Mohsen Dadras |
| Bandar Abbas Islamic Azad University |
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Abstract: (675 Views) |
| The purpose of the current research is to measure the potential of Hormozgan province in order to build a solar power plant by using geographic information system (GIS), multi-criteria decision making (MCDM) and clustering algorithm as a suitable combination tool. In this research, first, the effective factors in the location of the solar power plant including the main criteria of climate, natural and environmental resources, infrastructure and physics were identified using the previous studies and the Delphi method, and then the importance of each criterion was determined by using the opinion of the experts and the best-worst fuzzy Hesitant method (HFBWM). The map of all criteria and sub-criteria was prepared and compiled using GIS software. By superimposing the weighted maps, a map of the areas which were susceptible to the construction of a solar power plant was created and the areas were classified. Finally, by using ARC GIS PRO software, the extremely suitable areas, which include 5% of all the areas, were clustered using DBSCAN clustering method and OPTICS technique. The results showed that 11 sites in the cities of Bandar Abbas, Bestak, Bandarlange, Jask, Hajiabad, Rodan and Qeshm are extremely suitable areas for the construction of solar power plants. |
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| Keywords: Solar power plant, Site selection, best-worst fuzzy Hesitant (HFBWM), geographic information system (GIS), density-based clustering (DBSCAN) |
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Full-Text [PDF 2773 kb]
(147 Downloads)
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Type of Study: Applicable |
Subject:
GIS
Received: 2024/07/22 | Accepted: 2025/03/2 | ePublished ahead of print: 2025/03/4 | Published: 2025/03/17
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