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Policy Support Measures of Widespread Expansion of Fast Charging Infrastructure for Electric Vehicles

Title data

Baumgarte, Felix ; Kaiser, Matthias J. ; Keller, Robert:
Policy Support Measures of Widespread Expansion of Fast Charging Infrastructure for Electric Vehicles.
In: Energy Policy. Vol. 156 (September 2021) .
ISSN 0301-4215
DOI: https://doi.org/10.1016/j.enpol.2021.112372

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI Energie und kritische InfrastrukturenNo information

Abstract in another language

Public fast charging infrastructure (FCI) is essential for the adoption of electric vehicles (EVs). To reach higher EV penetration, investments into the development of a comprehensive and widespread fast charging network are necessary. However, current investments in FCI are only profitable in specific locations resulting in a severe lack of deployments in most areas. The wish for rapid development of both, EVs and related charging opportunities, requires political support measures for FCI. This paper investigates various support measures regarding their contribution to a comprehensive expansion of FCI. We illustrate the impact of different support measures on the profitability of three different charging power categories at three different located charging sides along the German freeway. Besides the traffic volume, the profitability of FCI strongly depends on the location’s surrounding charging facilities and population characteristics and decreases with increasing charging power. Currently available support measures such as investment subsidies or the exemption from the electricity tax do not contribute significantly to a widespread expansion of FCI. Changes in the demand charges have a higher potential to support nationwide investments in FCI.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Electric Vehicles; Fast Charging Infrastructure; Profitability Analysis; Policy Support
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 02 Jun 2021 10:43
Last Modified: 02 Jun 2021 10:43
URI: https://eref.uni-bayreuth.de/id/eprint/65598