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dc.contributor.author
Kittner, Noah
dc.contributor.author
Tsiropoulos, Ioannis
dc.contributor.author
Tarvydas, Dalius
dc.contributor.author
Schmidt, Oliver
dc.contributor.author
Staffell, Iain
dc.contributor.author
Kammen, Daniel M.
dc.contributor.editor
Junginger, Martin
dc.contributor.editor
Louwen, Atse
dc.date.accessioned
2021-03-05T08:42:05Z
dc.date.available
2021-02-05T04:08:41Z
dc.date.available
2021-02-18T12:27:24Z
dc.date.available
2021-03-05T08:42:05Z
dc.date.issued
2020
dc.identifier.isbn
978-0-12-818762-3
en_US
dc.identifier.isbn
978-0-12-818763-0
en_US
dc.identifier.other
10.1016/B978-0-12-818762-3.00009-1
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/467897
dc.description.abstract
Electric vehicles will play a dominant role in the transition to a low-carbon transportation system. As we track and forecast this evolution, learning rates help to quantify the historical rate and pace of change for emerging transportation options, the interaction of technology-specific and system-wide changes, and the economics of different policy options. In this chapter, we review the leading issues related to determining learning rates for electric vehicles and the potential scale-up for battery electric vehicles worldwide. Globally, electric vehicle deployment has increased rapidly over the past decade. Continued growth over the coming decade remains critical to achieve the level of ambition necessary to decarbonize the transportation sector. Therefore further data on learning rates and studies on innovation in battery electric vehicles are needed to enable and benefit from their decarbonization potential. In addition, research on incentives to develop appropriate technologies and policies to integrate electric vehicles into the existing electric grid infrastructure and transportation systems will inform further policy options and cost-reduction targets.
en_US
dc.language.iso
en
en_US
dc.publisher
Academic Press
en_US
dc.title
Electric vehicles
en_US
dc.type
Book Chapter
dc.date.published
2019-11-22
ethz.book.title
Technological Learning in the Transition to a Low-Carbon Energy System. Conceptual Issues, Empirical Findings, and Use in Energy Modeling
en_US
ethz.pages.start
145
en_US
ethz.pages.end
163
en_US
ethz.identifier.wos
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.relation.isPartOf
https://doi.org/10.1016/C2018-0-04547-8
ethz.date.deposited
2021-02-05T04:09:11Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-02-18T12:27:36Z
ethz.rosetta.lastUpdated
2022-03-29T05:38:02Z
ethz.rosetta.versionExported
true
ethz.COinS
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