Browsing by Author "Kayalica, M. Ozgur"

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    Merging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approach
    (Springer international Publishing Ag, 2024) Al-Eryani, Omar Khaled Fadhl Ali; Kayakutlu, Gulgun; Bektas, Zeynep; Kayalica, M. Ozgur
    This study explores how grid technology can help improve oil fields' power distribution using a fuzzy multi-criteria decision-making approach. The study compares different grid technologies based on multiple criteria, such as technical feasibility, economic viability, environmental impact, social acceptance, and regulatory compliance. The fuzzy TOPSIS method is used because it can effectively handle both crisp and fuzzy data, as well as linguistic and numerical values. After obtaining a ranking of alternatives, the study also conducts a sensitivity analysis and a robustness check to validate the results. The results show that the hybrid grid is the most preferred option for oil fields' power distribution, followed by the smart grid, themicrogrid, the nano grid, and the conventional grid. This implies that integrating different grid technologies can provide more benefits and advantages than using a single grid technology. The study provides some implications and recommendations for oil fields to adopt or integrate different grid technologies to enhance their power systems and operations.