Yazar "Karipoglu, Fatih" seçeneğine göre listele

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    A GIS-based FAHP and FEDAS analysis framework for suitable site selection of a hybrid offshore wind and solar power plant
    (Elsevier, 2023) Karipoglu, Fatih; Ozturk, Samet; Efe, Burak
    This study presents a Geographic Information System (GIS) based suitable site selection methodology for a hybrid system that includes offshore wind and solar PV. The methodology utilizes open source databases about decision criteria and applies this data using GIS to determine suitable sites for offshore wind and solar PV systems. For the assessment of multi-criteria which affect the potential hybrid energy power plants and the determination of the best suitable areas, Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy Evaluation based on Distance Average Solution (FEDAS) are used in the study. Results show that technical criteria has the priority weight of 0.60 while the weight of social criteria is about 0.07. Among sub-criteria, the wind speed has the highest priority weight while distance to port and visibility are the highest criteria of priority weight under economic and social main criteria, respectively. Among the alternatives, Area 2 (A-2) is determined as the best alternative for hybrid offshore power plants in the study area. This proposed methodology can be utilized by decision-makers to determine the best suitable locations for hybrid offshore wind and solar PV systems at any location. This paper suggests a new approach integrating GIS, fuzzy setbased AHP and EDAS as a novelty.
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    A Novel Approach by Combining Fuzzy AHP and a Simulation Model to Analyze Suitability of Ports for Offshore Wind Farms
    (Int Soc Offshore Polar Engineers, 2025) Ozturk, Samet; Karipoglu, Fatih; Efe, Burak
    This study presents a comprehensive suitability analysis for assessing the serviceability of existing container ports for offshore wind farms (OWFs) in Turkey, utilizing a combination of fuzzy analytical hierarchy process with Arena simulation modeling. This study is the first comprehensive analysis of offshore wind port infrastructure that integrates a multi-criteria decision making process with an Arena simulation model tailored specifically for existing container ports. The results indicate that technical criteria are deemed most critical, carrying the highest weight (0.563), with expansion potential identified as the most impactful criterion within the technical category. In addition, the study employs the Arena simulation software to forecast the operational workload on the most suitable ports following potential OWF installations.
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    Investigation of the best possible methods for wind turbine blade waste management by using GIS and FAHP: Turkey case
    (Springer Heidelberg, 2023) Ozturk, Samet; Karipoglu, Fatih
    The aim of this study is to present the status and projections of wind turbine blade retirement in Turkey; to investigate the number of retiring WT blades in the regional, manufacturer, and material aspects; and to discuss the management methods for retired WT blades. To determine the best possible wind turbine blade waste management methods for Turkey, a combined application of Geographical Information Systems (GIS) and the Fuzzy Analytical Hierarchy Process (FAHP) is used in this study. It is found that around nine thousand WT blades will become waste between 2020 and 2039 in Turkey, corresponding to around 80,500 tons of waste. On average, 52,325 tons of glass/carbon and 28,175 tons of polymers will be accumulated between 2020 and 2039 from wind turbine blades. More than half of the WT blade waste will come from two WT manufacturers, namely, Enercon and Nordex. Aegean and Marmara regions will provide 74% of the blade waste, where 33% of them will be 2 MW and 2.5 MW sizes of WT blades. Furthermore, a case study is applied to Izmir city to demonstrate the results of FAHP for finding the best available method to dispose of WT blades. The results show that using blade waste as filling material is the best alternative, while waste-to-energy is the last favorable option for blade waste management. Finally, sensitivity analyses are applied to demonstrate the robustness of the results for the inclusion of new alternatives and the bias of experts' judgments.