Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/4766
Title: Evaluation of Mechanical Energy Storage Technologies in the Context of a Fuzzy Environment
Authors: Sarucan, A.
Baysal, M.E.
Engin, O.
Keywords: Fuzzy Environment
Mechanical Energy Storage
Multi-Criteria Decision-Making
Decision making
Energy storage
Hydro energy
Pumped storage power plants
Clean energy sources
Energy
Energy source
Energy storage technologies
Fuzzy environments
Mechanical energy storages
Multi criteria decision-making
Multicriteria decision-making
Multicriterion decision makings
Storage technique
Compressed air
Publisher: Springer Science and Business Media Deutschland GmbH
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.
Description: Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference -- 22 August 2023 through 24 August 2023 -- -- 299549
URI: https://doi.org/10.1007/978-3-031-39774-5_72
https://hdl.handle.net/20.500.13091/4766
ISBN: 9783031397738
ISSN: 2367-3370
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections

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