Exponential development of solar photovoltaic projects during the past decades has vastly relied on findings from location identification analyses. This article draws upon the most important site selection factors in order to identify optimum locations for development of solar plants in Turkey from a subset of thirty selected Turkish cities. This study applies CCR, BCC, stochastic frontier analysis (SFA) and Kourosh and Arash Model (KAM) methods in decision-making. KAM method is a new powerful technique in measuring efficiency of firms (DMUs) and has obtained an important role in economy and managements. It also benefits from the novelty of using copula technique in the SFA methods which has been only recently presented to the literature.
Exponential development of solar photovoltaic projects during the past decades has vastly relied on findings from location identification analyses. This article draws upon the most important site selection factors in order to identify optimum locations for development of solar plants in Turkey from a subset of thirty selected Turkish cities. This study applies CCR, BCC, stochastic frontier analysis (SFA) and Kourosh and Arash Model (KAM) methods in decision-making. KAM method is a new powerful technique in measuring efficiency of firms (DMUs) and has obtained an important role in economy and managements. It also benefits from the novelty of using copula technique in the SFA methods which has been only recently presented to the literature.
| Birincil Dil | İngilizce |
|---|---|
| Konular | Mühendislik |
| Bölüm | Araştırma Makalesi |
| Yazarlar | |
| Gönderilme Tarihi | 10 Ağustos 2019 |
| Yayımlanma Tarihi | 1 Aralık 2020 |
| DOI | https://doi.org/10.2339/politeknik.605026 |
| IZ | https://izlik.org/JA49KY36HA |
| Yayımlandığı Sayı | Yıl 2020 Cilt: 23 Sayı: 4 |
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