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Empirical carbon dioxide emissions of electric vehicles in a French-German commuter fleet test

Ensslen, Axel; Schücking, Maximilian; Jochem, Patrick; Steffens, Henning; Fichtner, Wolf; Wollersheim, Olaf; Stella, Kevin

According to many governments electric vehicles are an efficient mean to mitigate carbon dioxide emissions in the transport sector. However, the energy charged causes carbon dioxide emissions in the energy sector. This study demonstrates results from measuring time-dependent electricity consumption of electric vehicles during driving and charging. The electric vehicles were used in a French-German commuter scenario between March 2013 and August 2013. The electric vehicles travelled a total distance of 38,365 kilometers. 639 individual charging events were recorded. Vehicle specific data on electricity consumption are matched to disaggregated electricity generation data with time dependent national electricity generation mixes and corresponding carbon dioxide emissions with an hourly time resolution. Carbon dioxide emission reduction potentials of different charging strategies are identified. As carbon dioxide emission intensities change over time according to the electric power systems, specific smart charging services are a convincing strategy to reduce electric vehicle specific carbon dioxide emissions. Our results indicate that charging in France causes only about ten percent of the carbon dioxide emissions compared to Germany, where the carbon intensity is more diverse.

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Postprint §
DOI: 10.5445/IR/1000059706/post
Veröffentlicht am 27.06.2018
Preprint §
DOI: 10.5445/IR/1000059706
Veröffentlicht am 05.06.2018
DOI: 10.1016/j.jclepro.2016.06.087
Zitationen: 26
Web of Science
Zitationen: 16
Zitationen: 22
Cover der Publikation
Zugehörige Institution(en) am KIT Deutsch-Französisches Institut für Umweltforschung (DFIU)
Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2017
Sprache Englisch
Identifikator ISSN: 0959-6526, 1879-1786
KITopen-ID: 1000059706
Erschienen in Journal of cleaner production
Verlag Elsevier
Band 142
Heft 1
Seiten 263-278
Projektinformation IILSE (BMWi, EU 6. RP, 01MX15004)
Vorab online veröffentlicht am 23.06.2016
Nachgewiesen in Dimensions
Web of Science
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