Browsing by Author "Yilmaz, Kutay"

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A novel method for the site selection of large-scale PV farms by using AHP and GIS: A case study in İzmir, Türkiye
(PERGAMON-ELSEVIER SCIENCE LTD, 2023) Demir, Abdullah; Dincer, Ali Ersin; Yilmaz, Kutay; 0000-0002-6392-648X; 0000-0002-4662-894X; AGÜ, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü; Demir, Abdullah; Dincer, Ali Ersin
Effective and sustainable climate-friendly policies to reduce carbon dioxide emissions in line with the 2020 European Green Deal are necessary. Accordingly, renewable energies assumed a critical role, rendering the site selection of these systems very crucial. The present study proposes a novel approach to the site selection of largescale photovoltaic (PV) plants using a combination of analytic hierarchy process (AHP) and geographic information system (GIS). In the study, the weights of criteria used for selecting solar PV panels are adjusted according to the installed capacity of the PV plant. The land of cost is included as a criterion in the AHP for the first time in PV plant site selection. Besides, a novel method called optimality-based site growing (OBSG) is introduced to further analyze the suitable sites obtained from GIS simulations and to determine the most suitable locations of PV farms. The proposed method is demonstrated with a case study of Türkiye, and the results show that the method effectively determines the most suitable locations for large-scale PV plants.
A Novel Procedure for the AHP Method for the Site Selection of Solar PV Farms
(Wiley-Hindawi, 2024) Demir, Abdullah; Dinçer, Ali Ersin; Yilmaz, Kutay; 0000-0002-6392-648X; 0000-0002-4662-894X; AGÜ, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü; Demir, Abdullah; Dinçer, Ali Ersin
This study proposes a novel approach to enhance the analytic hierarchy process (AHP) for the selection of suitable sites for solar photovoltaic (PV) farms. This approach is particularly beneficial when it is possible to establish a predefined objective relation in the final weights of the AHP method. The methodology focuses on achieving this predefined relation introducing a systematic revision of the constants of related constraints. In this study, the costs of constructing a unit transmission line and road in the Kayseri Province are objectively related, and the initial constant matrix of the AHP method is iteratively revised until the relation of the final weights converges to the predefined one. The suitability of solar PV farm locations is classified into five classes, revealing approximately 28% (40-100% of suitability) of the province as favorably suitable and designating about 67% as restricted zones. The findings reveal notable distinctions between the revised weights and those derived from the conventional AHP method. The disparity in weights for various constraints varies from 13.5% to 7.2%. Consequently, the alterations in the area of suitability regions range from 3.4% to 50%. The revision of AHP weights results in a reduction in higher-suitability areas, coupled with a significant expansion in the region exhibiting lower suitability. Notably, the extent of change in the suitability map increases when the difference in ratios between two criteria obtained from the AHP and the predefined objective relation is high. The proposed method demonstrates its applicability in regions like Kayseri where an objective relation between criteria can be established. Given the inherent subjectivity of the AHP method, the proposed procedure becomes essential to attain more objective weights. Since the methodology objectively adjusts weights based on known ratios, it increases the accuracy and reliability of site selection studies.