TR
EN
Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey
Öz
The global demand for energy continues to rise, driving the need for sustainable and efficient energy solutions. This study presents a comprehensive framework that combines the fuzzy best-worst method (BWM) with geographic information systems (GIS) to optimize solar power plant site selection. Eight criteria, including solar irradiation, slope, aspect, and proximity to infrastructure and water resources, were evaluated using the fuzzy BWM approach. These weighted criteria were integrated into GIS to create a suitability map, categorized into five levels of potential. The proposed framework was applied to Konya, Türkiye, a region with abundant solar energy resources, and highly suitable sites for solar photovoltaic (PV) power plant development were successfully identified. Furthermore, a sensitivity analysis was conducted to validate the robustness of the results. The findings demonstrate the framework’s potential as a reliable decision-support tool for energy planners and policymakers, offering a replicable model for regions with similar characteristics.
Anahtar Kelimeler
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Çok Ölçütlü Karar Verme
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
26 Mart 2025
Gönderilme Tarihi
22 Kasım 2024
Kabul Tarihi
4 Şubat 2025
Yayımlandığı Sayı
Yıl 2025 Cilt: 21 Sayı: 1
APA
Öztaş, Ö., & Ervural, B. (2025). Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey. Celal Bayar University Journal of Science, 21(1), 75-89. https://doi.org/10.18466/cbayarfbe.1589809
AMA
1.Öztaş Ö, Ervural B. Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey. Celal Bayar University Journal of Science. 2025;21(1):75-89. doi:10.18466/cbayarfbe.1589809
Chicago
Öztaş, Ömer, ve Bilal Ervural. 2025. “Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey”. Celal Bayar University Journal of Science 21 (1): 75-89. https://doi.org/10.18466/cbayarfbe.1589809.
EndNote
Öztaş Ö, Ervural B (01 Mart 2025) Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey. Celal Bayar University Journal of Science 21 1 75–89.
IEEE
[1]Ö. Öztaş ve B. Ervural, “Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey”, Celal Bayar University Journal of Science, c. 21, sy 1, ss. 75–89, Mar. 2025, doi: 10.18466/cbayarfbe.1589809.
ISNAD
Öztaş, Ömer - Ervural, Bilal. “Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey”. Celal Bayar University Journal of Science 21/1 (01 Mart 2025): 75-89. https://doi.org/10.18466/cbayarfbe.1589809.
JAMA
1.Öztaş Ö, Ervural B. Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey. Celal Bayar University Journal of Science. 2025;21:75–89.
MLA
Öztaş, Ömer, ve Bilal Ervural. “Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey”. Celal Bayar University Journal of Science, c. 21, sy 1, Mart 2025, ss. 75-89, doi:10.18466/cbayarfbe.1589809.
Vancouver
1.Ömer Öztaş, Bilal Ervural. Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey. Celal Bayar University Journal of Science. 01 Mart 2025;21(1):75-89. doi:10.18466/cbayarfbe.1589809