WoS İndeksli Yayınlar Koleksiyonu

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

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Has files: YesSubject: search.filters.subject.Analytical Hierarchy Process (AHP)

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  • Article
    Citation - WoS: 23
    Citation - Scopus: 28
    Exploring Flood and Erosion Risk Indices for Optimal Solar PV Site Selection and Assessing the Influence of Topographic Resolution
    (Pergamon-Elsevier Science Ltd, 2023-11) Yilmaz, Kutay; Dincer, Ali Ersin; Ayhan, Elif N.
    This study explores the suitability of Mentes,e Region in Turkiye for the installation of solar PV farms, given the significant increase in energy demand in the country and the need to reduce reliance on fossil fuels. The Analytical Hierarchy Process (AHP) method, which has been widely used in previous studies, is employed to identify the most influential criteria for site selection, including environmental, economic, and social factors. However, this study introduces two new factors, flood hazard and erosion indices, to the analysis, which are crucial in areas susceptible to these hazards. The results show that approximately 7.5% of the study surface area is suitable for solar PV production. The study reveals that flood hazard and erosion indices have an effect on the suitable sites despite their relatively lower weights in the AHP. In addition, the study illustrates that site selection can be carried out using topographic data of lower resolution, as long as the data is resampled to match the resolution of land use data. The study is novel in its integration of flood and erosion risk indices in the decision process and its investigation of the influence of topographic resolution on site selection for solar PV panels.
  • 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.