Analyzing the impact of battery capacity and charging protocols when dispatching electric vehicles for aircraft towing

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Abstract

The aviation industry aims for net-zero emissions by 2050. In this line, achieving climate-neutral ground operations is one of the first objectives. Electric vehicles that tow aircraft during taxiing are a promising technology to achieve climate-neutral ground operations. In this paper, we consider the dispatching of electric towing vehicles at an airport. We study the impact of the maximum battery capacity of these vehicles and the battery recharging protocols, on the total number of electric towing vehicles required at an airport. We propose a mixed-integer linear program to determine the size of the fleet of electric towing vehicles under various battery capacities and various battery recharging protocols. We illustrate our model for one day of operations at Amsterdam Airport Schiphol. The results show that 41, 29, and 24 ETVs are required to tow all aircraft when batteries capacities of 100 kWh, 320 kWh, and 500 kWh are considered, respectively. Compared with the best performing approach existing in literature, our model reduces the required size of the fleet of electric towing vehicles by 27% when considering a nominal battery size of 320 kWh.
Original languageEnglish
Title of host publicationAIAA AVIATION 2022 Forum
Subtitle of host publicationJune 27-July 1, 2022, Chicago, IL & Virtual
PublisherAmerican Institute of Aeronautics and Astronautics Inc. (AIAA)
Number of pages11
ISBN (Electronic)978-1-62410-635-4
DOIs
Publication statusPublished - 2022
EventAIAA AVIATION 2022 Forum - Chicago, United States
Duration: 27 Jun 20221 Jul 2022

Publication series

NameAIAA AVIATION 2022 Forum

Conference

ConferenceAIAA AVIATION 2022 Forum
Country/TerritoryUnited States
CityChicago
Period27/06/221/07/22

Bibliographical note

Correction Notice
We forgot to acknowledge the funding source of the paper. We would like to do this in a new section between the
conclusion and the references as follows:
Acknowledgment
This research has received funding from the European Union’s Horizon 2020 research and innovation program
under grant agreement No 892928.

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