Publication:
Optimal Sizing of Renewable Energy-Based Charging Infrastructure for Electric Vehicles

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dc.contributor.authorAhmed O.M.A.en_US
dc.contributor.authorWali S.B.en_US
dc.contributor.authorHannanl M.A.en_US
dc.contributor.authorKer P.J.en_US
dc.contributor.authorManser M.en_US
dc.contributor.authorMuttaqi K.M.en_US
dc.contributor.authorid57209781792en_US
dc.contributor.authorid56402940200en_US
dc.contributor.authorid57984662700en_US
dc.contributor.authorid37461740800en_US
dc.contributor.authorid57985014400en_US
dc.contributor.authorid55582332500en_US
dc.date.accessioned2023-05-29T09:39:06Z
dc.date.available2023-05-29T09:39:06Z
dc.date.issued2022
dc.descriptionCharging (batteries); Costs; Electric power transmission networks; Electric vehicles; Gas emissions; Greenhouse gases; Secondary batteries; Vehicle-to-grid; Battery energy storage systems; Charging station; Cost of energies; Electric vehicle charging; Electric vehicle charging station; Energy-based; Greenhouse gas emissions; Hybrid energy storage systems; Net present cost; Renewable energies; Renewable energy resourcesen_US
dc.description.abstractThe availability of electric vehicle (EV) charging facilities is crucial to the EV application, which is a promising solution to minimize fossil oil consumption and greenhouse gas (GHG) emissions. Nevertheless, satisfying EV charging requests through the electric grid might result in grid destabilization owing to a rapid spike in load profile. The effective implementation of an optimized renewable energy (RE)-based hybrid energy storage system (HESS) can reduce the sudden impact of EV charging on the grid, can diminish the increased power demand from the utility grid, and reduce the GHG emission. This article has proposed an optimal solution for HESS-integrated EV charging stations (CSs) in Riyadh, Saudi Arabia. Three different HESS configurations such as; grid-dependent system, off-grid PV-wind-battery energy storage system (BESS)-based system, and grid-connected PV-wind-BESS-based system for EV charging stations are designed and investigated. The simulation results are analyzed considering three different factors such as electrical, environmental, and economic factors. The optimal configuration includes a grid-connected single wind turbine (WT), 11 batteries, and a 413kW converter. Moreover, the net present cost (NPC) and cost of energy (COE) are 1.63M and 0.0407/kWh respectively with a CO2 emission of 190,541 kg/year which is 81.02% less than the grid-only configuration. � 2022 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/IAS54023.2022.9939902
dc.identifier.scopus2-s2.0-85142851130
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85142851130&doi=10.1109%2fIAS54023.2022.9939902&partnerID=40&md5=5b47924b1b1118233a90d35b2fa3b11d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27056
dc.identifier.volume2022-October
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
dc.titleOptimal Sizing of Renewable Energy-Based Charging Infrastructure for Electric Vehiclesen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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