Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/59635

Optimum Network of Battery Storage to Support Electric Vehicle Charging Infrastructure in Smart Cities

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Title:Optimum Network of Battery Storage to Support Electric Vehicle Charging Infrastructure in Smart Cities
Authors:Zhao, Dong
Thakur, Navwant
Chen, Jiayu
Keywords:Smart City Digital Twins
Decision Analytics, Mobile Services, and Service Science
Battery storage
Charging station
Construction management
show 2 moreInfrastructure
Simulation
show less
Date Issued:08 Jan 2019
Abstract:Smart mobility and transportation is a critical component of smart cities. One barrier to the smart transportation is a lack of charging stations that can empower a huge amount of electric vehicles, especially the autonomous one. Battery storage technology provides an opportunity; however, how battery storage can serve a crucial role in enabling fast-charging stations to fulfill customer demand and providing a profit for charging station operators is unclear. This paper reports a discrete event simulation (DES) model to determine the optimum network of battery storage system considering costs and charging stations. A case study of Detroit Area in the State of Michigan is provided to demonstrate the usage of the model. Results show that lithium-ion batteries cost the most whereas zinc-air batteries cost the least. Findings suggest that a highly condensed charging station network provide higher benefit and result in lower total cost through battery units connected to a microgrid.
Pages/Duration:8 pages
URI/DOI:http://hdl.handle.net/10125/59635
ISBN:978-0-9981331-2-6
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Smart City Digital Twins


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