Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/4766
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dc.contributor.authorSarucan, A.-
dc.contributor.authorBaysal, M.E.-
dc.contributor.authorEngin, O.-
dc.date.accessioned2023-11-11T09:03:39Z-
dc.date.available2023-11-11T09:03:39Z-
dc.date.issued2023-
dc.identifier.isbn9783031397738-
dc.identifier.issn2367-3370-
dc.identifier.urihttps://doi.org/10.1007/978-3-031-39774-5_72-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/4766-
dc.descriptionIntelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference -- 22 August 2023 through 24 August 2023 -- -- 299549en_US
dc.description.abstractClean energy sources are becoming increasingly important as traditional energy sources are rapidly depleted around the world. The energy produced must be stored to make this orientation more meaningful. One of the very different storage technologies used is mechanical energy storage. Mechanical energy makes up a large percentage of the energy storage capacity in the world. Keeping track of current mechanical energy storage technology developments is a key task for policymakers. From this point of view, it is necessary to have an evaluation of different mechanical energy storage techniques under certain criteria and in consideration of the opinions of decision makers. Therefore, a fuzzy multi-criteria decision-making model is proposed. In the case study, 3 different mechanical energy storage techniques, pumped hydro, compressed air, and flywheel energy storage alternatives were evaluated with the fuzzy grey relation analysis for common criteria, power capacity, lifetime, energy density, efficiency, response time of these alternatives. Growing use of energy storage in every aspect of life, from electric vehicles to mobile applications, from smart buildings to cities, makes these studies relevant. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Networks and Systemsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzy Environmenten_US
dc.subjectMechanical Energy Storageen_US
dc.subjectMulti-Criteria Decision-Makingen_US
dc.subjectDecision makingen_US
dc.subjectEnergy storageen_US
dc.subjectHydro energyen_US
dc.subjectPumped storage power plantsen_US
dc.subjectClean energy sourcesen_US
dc.subjectEnergyen_US
dc.subjectEnergy sourceen_US
dc.subjectEnergy storage technologiesen_US
dc.subjectFuzzy environmentsen_US
dc.subjectMechanical energy storagesen_US
dc.subjectMulti criteria decision-makingen_US
dc.subjectMulticriteria decision-makingen_US
dc.subjectMulticriterion decision makingsen_US
dc.subjectStorage techniqueen_US
dc.subjectCompressed airen_US
dc.titleEvaluation of Mechanical Energy Storage Technologies in the Context of a Fuzzy Environmenten_US
dc.typeConference Objecten_US
dc.identifier.doi10.1007/978-3-031-39774-5_72-
dc.identifier.scopus2-s2.0-85172008142en_US
dc.departmentKTÜNen_US
dc.identifier.volume758 LNNSen_US
dc.identifier.startpage652en_US
dc.identifier.endpage659en_US
dc.institutionauthor-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorscopusid54405086400-
dc.authorscopusid56007700700-
dc.authorscopusid55948252100-
dc.identifier.scopusqualityQ4-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Object-
crisitem.author.dept02.09. Department of Industrial Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
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