Carbon footprint comparison of electric vehicles throughout the vehicle life-cycle

Mishen Naidoo, Annlizé L. Marnewick

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To achieve zero emission targets in transport electrical vehicles, the carbon emission footprint needs to be understood and used in the correct environments. This research investigated the largest carbon dioxide footprint contributors to the life-cycle stages of an electric vehicle. It highlights gaps associated with the calculation methodology used in determining the carbon footprint of an electric vehicle. The electric vehicle has been largely chosen as the technology of choice when the topic of reducing the carbon footprint due to transportation arises. This research identifies that the existing calculation methodology underestimates the carbon dioxide emissions from an electric vehicle. From the findings of the research, it can be concluded that electric vehicles are not yet green when viewed from the perspective of a third-world country.

Original languageEnglish
Title of host publicationProceedings of the 29th International Conference on Engineering, Technology, and Innovation
Subtitle of host publicationShaping the Future, ICE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350315172
DOIs
Publication statusPublished - 2023
Event29th International Conference on Engineering, Technology, and Innovation, ICE 2023 - Edinburgh, United Kingdom
Duration: 19 Jun 202322 Jun 2023

Publication series

NameProceedings of the 29th International Conference on Engineering, Technology, and Innovation: Shaping the Future, ICE 2023

Conference

Conference29th International Conference on Engineering, Technology, and Innovation, ICE 2023
Country/TerritoryUnited Kingdom
CityEdinburgh
Period19/06/2322/06/23

Keywords

  • Carbon Emissions
  • Electric Vehicle
  • Life-cycle

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Decision Sciences (miscellaneous)
  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment
  • Artificial Intelligence

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