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

dc.authorscopusid58867762300
dc.authorscopusid15765186400
dc.authorscopusid37861019800
dc.authorscopusid57200238980
dc.contributor.authorBektaş, Zeynep
dc.contributor.authorKayakutlu,G.
dc.contributor.authorBektas,Z.
dc.contributor.authorKayalica,M.Ö.
dc.date.accessioned2024-06-23T21:39:29Z
dc.date.available2024-06-23T21:39:29Z
dc.date.issued2024
dc.departmentKadir Has Universityen_US
dc.department-tempAl-Eryani O.K.F.A., Bahcesehir University, Istanbul, Turkey; Kayakutlu G., Istanbul Technical University, Istanbul, Turkey; Bektas Z., Kadir Has University, Istanbul, Turkey; Kayalica M.Ö., Istanbul Technical University, Istanbul, Turkeyen_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, the microgrid, 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. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.en_US
dc.identifier.citation0
dc.identifier.doi10.1007/978-3-031-50485-3_18
dc.identifier.endpage193en_US
dc.identifier.isbn978-303150484-6
dc.identifier.issn1865-0929
dc.identifier.scopus2-s2.0-85184294053
dc.identifier.scopusqualityN/A
dc.identifier.startpage187en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-50485-3_18
dc.identifier.urihttps://hdl.handle.net/20.500.12469/5888
dc.identifier.volume1948 CCISen_US
dc.identifier.wosqualityN/A
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofCommunications in Computer and Information Science -- International Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023 -- 30 September 2023 through 4 October 2023 -- Kraków -- 306969en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzy Decision-Makingen_US
dc.subjectFuzzy TOPSISen_US
dc.subjectOil Fieldsen_US
dc.subjectPower Distributionen_US
dc.subjectPower Griden_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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