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dc.contributor.authorEltaweel, Mahmoud
dc.contributor.authorHerfatmanesh, Mohammad Reza
dc.date.accessioned2023-11-01T11:45:01Z
dc.date.available2023-11-01T11:45:01Z
dc.date.issued2023-09-29
dc.identifier.citationEltaweel , M & Herfatmanesh , M R 2023 , ' Analysis of Standby Power in an Enclosed High-Speed Flywheel Energy Storage System Using the CFD-ANOVA Approach ' , Paper presented at JSAE/SAE Powertrains, Energy and Lubricants International Meeting 2023 , Kyoto , Japan , 28/08/23 . < https://saemobilus-sae-org.ezproxy.herts.ac.uk/content/2023-32-0069/ >
dc.identifier.citationconference
dc.identifier.otherORCID: /0000-0001-7150-2006/work/145926702
dc.identifier.urihttp://hdl.handle.net/2299/27043
dc.description© 2023 SAE International. This is the accepted manuscript version of an article which has been published in final form at https://saemobilus-sae-org.ezproxy.herts.ac.uk/content/2023-32-0069/
dc.description.abstractDuring urban driving, a significant amount of energy is lost due to continuous braking, which can be recovered and stored. The flywheel energy storage system (FESS) can efficiently recover and store the vehicle's kinetic energy during deceleration. However, standby losses in FESS, primarily due to aerodynamic drag, can affect its overall efficiency. To address this issue, the flywheel rotor is typically housed in a dedicated housing maintained at a low pressure using a vacuum pump. Standby power is known as the total power used by the auxiliary systems and the power needed to overcome drag and keep the flywheel rotor at a specific state of charge. The Analysis of Variance (ANOVA) technique was combined with the computational fluid dynamics (CFD) technique in this study to determine the optimal flywheel design parameters and investigate their impact on standby power. The study's results demonstrated the optimal combination of the airgap size and the rotor's pressure cavity to achieve the lowest standby power.en
dc.format.extent8
dc.format.extent584923
dc.language.isoeng
dc.titleAnalysis of Standby Power in an Enclosed High-Speed Flywheel Energy Storage System Using the CFD-ANOVA Approachen
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionEnergy and Sustainable Design Research Group
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Engineering and Technology
dc.contributor.institutionCentre for Climate Change Research (C3R)
dc.description.statusPeer reviewed
dc.date.embargoedUntil2024-03-29
dc.identifier.urlhttps://saemobilus-sae-org.ezproxy.herts.ac.uk/content/2023-32-0069/
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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