Evaluation of Mechanical Energy Storage Technologies in the Context of a Fuzzy Environment

dc.contributor.author Sarucan, A.
dc.contributor.author Baysal, M.E.
dc.contributor.author Engin, O.
dc.date.accessioned 2023-11-11T09:03:39Z
dc.date.available 2023-11-11T09:03:39Z
dc.date.issued 2023
dc.description Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference -- 22 August 2023 through 24 August 2023 -- -- 299549 en_US
dc.description.abstract Clean 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.identifier.doi 10.1007/978-3-031-39774-5_72
dc.identifier.isbn 9783031397738
dc.identifier.issn 2367-3370
dc.identifier.scopus 2-s2.0-85172008142
dc.identifier.uri https://doi.org/10.1007/978-3-031-39774-5_72
dc.identifier.uri https://hdl.handle.net/20.500.13091/4766
dc.language.iso en en_US
dc.publisher Springer Science and Business Media Deutschland GmbH en_US
dc.relation.ispartof Lecture Notes in Networks and Systems en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Fuzzy Environment en_US
dc.subject Mechanical Energy Storage en_US
dc.subject Multi-Criteria Decision-Making en_US
dc.subject Decision making en_US
dc.subject Energy storage en_US
dc.subject Hydro energy en_US
dc.subject Pumped storage power plants en_US
dc.subject Clean energy sources en_US
dc.subject Energy en_US
dc.subject Energy source en_US
dc.subject Energy storage technologies en_US
dc.subject Fuzzy environments en_US
dc.subject Mechanical energy storages en_US
dc.subject Multi criteria decision-making en_US
dc.subject Multicriteria decision-making en_US
dc.subject Multicriterion decision makings en_US
dc.subject Storage technique en_US
dc.subject Compressed air en_US
dc.title Evaluation of Mechanical Energy Storage Technologies in the Context of a Fuzzy Environment en_US
dc.type Conference Object en_US
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gdc.description.department KTÜN en_US
gdc.description.departmenttemp Sarucan, A., Industrial Engineering Department, Konya Technical University, Konya, Turkey; Baysal, M.E., Industrial Engineering Department, Konya Technical University, Konya, Turkey; Engin, O., Industrial Engineering Department, Konya Technical University, Konya, Turkey en_US
gdc.description.endpage 659 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q4
gdc.description.startpage 652 en_US
gdc.description.volume 758 LNNS en_US
gdc.description.wosquality N/A
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gdc.virtual.author Engin, Orhan
gdc.virtual.author Sarucan, Ahmet
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