Energy Systems Engineering / Enerji Sistemleri Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/4752

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  • Article
    Citation - WoS: 17
    Citation - Scopus: 24
    A 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 Initiative
  • Article
    Citation - Scopus: 40
    Determination of the Most Appropriate Site Selection of Wind Power Plants Based Geographic Information System and Multi-Criteria Decision-Making Approach in Develi, Turkey
    (Aalborg University Press, 2021) Karipoğlu, Fatih; Genç, Mustafa Serdar; Koca, Kemal
    Wind power has major benefits including providing for an increasing energy demand while tackling climate change problems. Detailed planning processes such as technical, social, environmental, various agents, and political concerns are essential for the development of wind energy projects. The objective of the present study is to develop a visualization that combines Geographic Information System (GIS) and Multi-Criteria Decision Making (MCDM) and implementation for Kayseri, Develi in Turkey as a case study. For the analyzes, CORINE CLC 2000 and other data sources were employed for data acquisition to unlock fragmented and hidden onshore data resources and to facilitate investment in sustainable coastal and inland activities. Several factors were determined in the wind power plant installations such as wind potential, roads, water sources, and these factors were analyzed based on their buffer zones. After detailed analyses, sites near the Havadan (7.87 MW) and Kulpak (9.22 MW) villages were found to be the most suitable locations for the installation of a potential onshore wind farm. The method suggested in this study can be used to analyze the suitability of any region at the regional level for onshore wind power plant and the results of the study can be used to develop based on public perception, renewable energy policies, energy political rules. © 2021, Aalborg University press. All rights reserved.