Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Forecast of the demand for electric mobility for Rome-Fiumicino International Airport

Romano Alberto Acri
ORCID logo ,
Silvia Barone
,
Paolo Cambula
,
Valter Cecchini
,
Maria Carmen Falvo
ORCID logo ,
Jacopo Lepore
,
Matteo Manganelli
* ,
Federico Santi
Version 1 : Received: 30 June 2021 / Approved: 1 July 2021 / Online: 1 July 2021 (22:00:53 CEST)

A peer-reviewed article of this Preprint also exists.

Acri, R.A.; Barone, S.; Cambula, P.; Cecchini, V.; Falvo, M.C.; Lepore, J.; Manganelli, M.; Santi, F. Forecast of the Demand for Electric Mobility for Rome–Fiumicino International Airport. Energies 2021, 14, 5251. Acri, R.A.; Barone, S.; Cambula, P.; Cecchini, V.; Falvo, M.C.; Lepore, J.; Manganelli, M.; Santi, F. Forecast of the Demand for Electric Mobility for Rome–Fiumicino International Airport. Energies 2021, 14, 5251.

Abstract

Following electrification of automotive transport, studies on the penetration of Electric Vehicles (EVs) are widespread, especially in defined contexts, e.g. cities. As major transport hubs, airports fall within contexts worth of interest. In this work, a forecast of the demand for electric mobility in an Italian international airport (Rome, Fiumicino) is presented. First, a wide review of proposed sce-narios on the penetration of EVs at international and national level and available data on local automotive transport are presented, as preliminary study for the definition of reference scenarios for the local context. Then the methodology proposed is presented and applied to the specific case study. Finally, a preliminary sizing of the required charging infrastructure is reported. The proposed approach can be considered as reference for similar studies on electrical mobility in other airport areas around the world.

Keywords

electric mobility; electric vehicle; electrification; airport

Subject

Engineering, Electrical and Electronic Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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