Planning charging stations for 2050 to support flexible electric vehicle demand considering individual mobility patterns
dc.contributor.author
Wu, Jiaman
dc.contributor.author
Powell, Siobhan Jocelyn Larissa
dc.contributor.author
Xu, Yanyan
dc.contributor.author
Rajagopal, Ram
dc.contributor.author
González, Marta C.
dc.date.accessioned
2024-02-20T08:07:16Z
dc.date.available
2024-01-19T09:18:41Z
dc.date.available
2024-02-20T08:07:16Z
dc.date.issued
2024-01-26
dc.identifier.issn
2949-7906
dc.identifier.other
10.1016/j.crsus.2023.100006
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/653937
dc.identifier.doi
10.3929/ethz-b-000653937
dc.description.abstract
With the widespread adoption of electric vehicles (EVs), it is crucial to plan for charging in a way that considers both EV driver behavior and the electricity grid’s demand. Here, we integrate detailed mobility data with empirical charging preferences to estimate charging demand and demonstrate the power of personalized shifting recommendations to move individual EV drivers’ demand on the grid out of peak hours. We find an unbalanced geographical distribution of charging demand in the San Francisco Bay Area, with temporal peaks in both grid off-peak hours in the morning and on-peak hours in the evening. Aligning with mobility patterns, our strategy effectively shifts demand to off-peak times. With the 2050 target of 90% EVs, this shifting reduces total on-peak charging demand by 61%, which could require over ∼18,000 additional level 3 chargers. We recommend building more charging stations and implementing shifting recommendations for EV grid integration.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Cell Press
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
electric vehicles
en_US
dc.subject
mobility pattern
en_US
dc.subject
charging demand
en_US
dc.subject
charging demand management
en_US
dc.subject
electric vehicle charging station
en_US
dc.title
Planning charging stations for 2050 to support flexible electric vehicle demand considering individual mobility patterns
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
dc.date.published
2024-01-08
ethz.journal.title
Cell Reports Sustainability
ethz.journal.volume
1
en_US
ethz.journal.issue
1
en_US
ethz.pages.start
100006
en_US
ethz.size
15 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03695 - Hoffmann, Volker / Hoffmann, Volker
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03695 - Hoffmann, Volker / Hoffmann, Volker
en_US
ethz.date.deposited
2024-01-19T09:18:41Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2024-02-20T08:07:17Z
ethz.rosetta.lastUpdated
2024-02-20T08:07:17Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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