Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article Citation - WoS: 17Citation - Scopus: 24A Gis-Based Fahp and Fedas Analysis Framework for Suitable Site Selection of a Hybrid Offshore Wind and Solar Power Plant(Elsevier B.V., 2023) Karipoğlu, Fatih; Ozturk, S.; Efe, B.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. © 2023 International Energy InitiativeArticle Citation - WoS: 11Citation - Scopus: 12Investigation of the Best Possible Methods for Wind Turbine Blade Waste Management by Using Gis and Fahp: Turkey Case(Springer, 2022) Öztürk, Samet; Karipoğlu, FatihThe 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.Article Citation - WoS: 50Citation - Scopus: 56Gis-Based Optimal Site Selection for the Solar-Powered Hydrogen Fuel Charge Stations(Elsevier, 2022) Karipoğlu, Fatih; Genç, Mustafa Serdar; Akarsu, BeyhanEnergy consumption which is the most critical input in daily life is increasing constantly because of the growth of the world population and development of the devices. The transportation industry which is responsible for almost half of all worldwide emissions is switching to innovative devices run on renewable energy. Renewable-powered charging stations are important for reducing the environmental impact of vehicles. The objective of the study was to determine the best hydrogen charge station locations and rates which are supplied by coupled solar power plants. The GIS-based assessment was carried out with proper data from data sources such as Copernicus Land Monitoring (CLC 2018), and Global Solar Atlas (GSA). For the determination of suitable regions for solar power plants, eight sub-criteria were assessed under technical (C1), accessibility (C2), and environmental (C3) main criteria. Afterward, the obtained result map layer and suitability of the six determined water bodies, located in the study region, were investigated by assuming the buffer zone value. Results showed that the study area had suitable regions of 38.1 km2 indicating that %22.4 of it was convenient for the solar power plant investments. While Cihanbeyli Lake does not have the highest suitable region, the biggest suitable area inside the buffer zone of lakes was determined as the Ağcaşayar Dam. The maximum annual solar production level is obtained as 1,919 MWh/year in the Ağcaşayar Dam, with a hydrogen production of 34,933 tons/year. Consequently, the Ağcaşayar Dam is the best suitable destination for a hydrogen fuel station in Kayseri.Article Citation - WoS: 67Citation - Scopus: 74Suitable Site Selection for Offshore Wind Farms in Turkey’s Seas: Gis-Mcdm Based Approach(Springer, 2021) Genç, Mustafa Serdar; Karipoğlu, Fatih; Koca, Kemal; Azgın, Şükrü TanerOffshore wind energy resources are not fully exploited renewable energy resources until now and could play a crucial role in mitigating the impacts of climate change by the generation of renewable electricity. Planning processes such as technical, social, environmental, various agents, and political concerns are necessary for the development of offshore wind energy projects. The objective of this study was to assess the comprehensive feasibility of a desired offshore wind power plant applying Geographical Information Systems (GIS) and Multi-Criteria Decision-Making (MCDM) guidance for the coastal area of Turkey. Furthermore, EMODnet (the European Marine Observation and Data Network) was employed for data acquisition to unlock fragmented and hidden marine data resources and to facilitate investment in sustainable coastal and offshore activities. For the determination of potential site with Multi-Criteria Decision Maker Method, 3 main criteria Technical (C1), Environmental (C2), and Social (C3), and 13 sub-criteria were determined. Based on these criteria, the suitability map was created by using all criteria map layers with their buffer zones. The final map indicated that %1.38 (3294.8 km(2)) of Turkey Seas was suitable for offshore wind farms. The most suitable region was determined in the Marmara Sea with 1194 km(2). The Aegean Sea, the Black Sea, and the Mediterranean Sea were following the Marmara Sea in terms of the huge suitable regions respectively. It was apparent that the growth of offshore wind farms in Turkey would increase if the supporting mechanism and the necessary legislation were ensured.