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

dc.authoridKayalica, M. Ozgur/0000-0001-9828-7385
dc.authorscopusid58867762300
dc.authorscopusid15765186400
dc.authorscopusid37861019800
dc.authorscopusid57200238980
dc.authorwosidKayakutlu, Gulgun/E-1168-2014
dc.authorwosidKayalica, M./B-2734-2018
dc.contributor.authorAl-Eryani, Omar Khaled Fadhl Ali
dc.contributor.authorBektaş, Zeynep
dc.contributor.authorKayakutlu, Gulgun
dc.contributor.authorBektas, Zeynep
dc.contributor.authorKayalica, M. Ozgur
dc.date.accessioned2024-06-23T21:39:29Z
dc.date.available2024-06-23T21:39:29Z
dc.date.issued2024
dc.departmentKadir Has Universityen_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, Turkiyeen_US
dc.descriptionKayalica, M. Ozgur/0000-0001-9828-7385en_US
dc.description.abstractThis 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.woscitationindexConference Proceedings Citation Index - Science
dc.identifier.citation0
dc.identifier.doi10.1007/978-3-031-50485-3_18
dc.identifier.endpage193en_US
dc.identifier.isbn9783031504846
dc.identifier.isbn9783031504853
dc.identifier.issn1865-0929
dc.identifier.issn1865-0937
dc.identifier.scopus2-s2.0-85184294053
dc.identifier.scopusqualityQ4
dc.identifier.startpage187en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-50485-3_18
dc.identifier.volume1948en_US
dc.identifier.wosWOS:001259355800018
dc.identifier.wosqualityN/A
dc.language.isoenen_US
dc.publisherSpringer international Publishing Agen_US
dc.relation.ispartof26th European Conference on Artificial Intelligence (ECAI) -- SEP 30-OCT 04, 2023 -- Krakow, POLANDen_US
dc.relation.ispartofseriesCommunications in Computer and Information Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOil Fieldsen_US
dc.subjectPower Griden_US
dc.subjectPower Distributionen_US
dc.subjectFuzzy TOPSISen_US
dc.subjectFuzzy Decision-Makingen_US
dc.titleMerging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approachen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication236eadb2-4b1b-488e-9866-2c2c57b646ac
relation.isAuthorOfPublication.latestForDiscovery236eadb2-4b1b-488e-9866-2c2c57b646ac

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