WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394

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Publisher: search.filters.publisher.Pergamon-Elsevier Science LtdSubject: search.filters.subject.Site Selection

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  • Article
    Citation - WoS: 17
    Citation - Scopus: 19
    Enhancing Wind Turbine Site Selection Through a Novel Wake Penalty Criterion
    (Pergamon-Elsevier Science Ltd, 2023-11) Dincer, A. . Ersin; Demir, A.; Yilmaz, K.
    In this study, a novel approach that incorporates the wake effect as a penalty criterion within the Analytical Hierarchy Process (AHP) method is proposed. The research introduces the wake penalty criterion for the first time, considering both existing and newly located turbines. The results demonstrate the impact of the wake effect and identify areas with varying wake penalties. A comprehensive suitability analysis is conducted using AHP and Geographic Information System (GIS) techniques, resulting in a suitability map for wind turbine site selection. The analysis considers seven criteria, including the novel wake penalty criterion. The suitability map reveals a distribution of suitability ranges, with 73.8% of the total area excluded due to various constraints. Additionally, a comparative analysis is performed by excluding the wake penalty criterion, highlighting the contrasting effects of wake on turbine placement. Case studies in the Karaburun and ces,me regions of Izmir further illustrate the influence of wake on turbine clusters and their alignment with prevailing wind directions. The findings indicate that the inclusion of wake effects provides a more precise and realistic depiction of viable wind turbine site selection. This is evident in the reduction of 55.5% and 18.6% in the most suitable region (80-100% suitability) and highly suitable region (60-80% suitability), respectively.
  • Article
    Citation - WoS: 62
    Citation - Scopus: 63
    A Novel Method for the Site Selection of Large-Scale PV Farms by Using AHP and GIS: A Case Study in Izmir, Turkiye
    (Pergamon-Elsevier Science Ltd, 2023-07) Demir, Abdullah; Dincer, Ali Ersin; Yilmaz, Kutay
    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 large-scale photovoltaic (PV) plants using a combination of analytic hierarchy process (AHP) and geographic infor-mation 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 Turkiye, and the results show that the method effectively determines the most suitable locations for large-scale PV plants.