Merging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approach

dc.authorid Kayalica, M. Ozgur/0000-0001-9828-7385
dc.authorscopusid 58867762300
dc.authorscopusid 15765186400
dc.authorscopusid 37861019800
dc.authorscopusid 57200238980
dc.authorwosid Kayakutlu, Gulgun/E-1168-2014
dc.authorwosid Kayalica, M./B-2734-2018
dc.contributor.author Al-Eryani, Omar Khaled Fadhl Ali
dc.contributor.author Bektaş, Zeynep
dc.contributor.author Kayakutlu, Gulgun
dc.contributor.author Bektas, Zeynep
dc.contributor.author Kayalica, M. Ozgur
dc.contributor.other Industrial Engineering
dc.date.accessioned 2024-06-23T21:39:29Z
dc.date.available 2024-06-23T21:39:29Z
dc.date.issued 2024
dc.department Kadir Has University en_US
dc.department-temp [Al-Eryani, Omar Khaled Fadhl Ali] Bahcesehir Univ, Istanbul, Turkiye; [Kayakutlu, Gulgun; Kayalica, M. Ozgur] Istanbul Tech Univ, Istanbul, Turkiye; [Bektas, Zeynep] Kadir Has Univ, Istanbul, Turkiye en_US
dc.description Kayalica, M. Ozgur/0000-0001-9828-7385 en_US
dc.description.abstract 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. en_US
dc.description.woscitationindex Conference Proceedings Citation Index - Science
dc.identifier.citationcount 0
dc.identifier.doi 10.1007/978-3-031-50485-3_18
dc.identifier.endpage 193 en_US
dc.identifier.isbn 9783031504846
dc.identifier.isbn 9783031504853
dc.identifier.issn 1865-0929
dc.identifier.issn 1865-0937
dc.identifier.scopus 2-s2.0-85184294053
dc.identifier.scopusquality Q4
dc.identifier.startpage 187 en_US
dc.identifier.uri https://doi.org/10.1007/978-3-031-50485-3_18
dc.identifier.volume 1948 en_US
dc.identifier.wos WOS:001259355800018
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.publisher Springer international Publishing Ag en_US
dc.relation.ispartof 26th European Conference on Artificial Intelligence (ECAI) -- SEP 30-OCT 04, 2023 -- Krakow, POLAND en_US
dc.relation.ispartofseries Communications in Computer and Information Science
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Oil Fields en_US
dc.subject Power Grid en_US
dc.subject Power Distribution en_US
dc.subject Fuzzy TOPSIS en_US
dc.subject Fuzzy Decision-Making en_US
dc.title Merging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approach en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication
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