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 language | English |
|---|---|
| Title of host publication | Proceedings of the 29th International Conference on Engineering, Technology, and Innovation |
| Subtitle of host publication | Shaping the Future, ICE 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350315172 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 29th International Conference on Engineering, Technology, and Innovation, ICE 2023 - Edinburgh, United Kingdom Duration: 19 Jun 2023 → 22 Jun 2023 |
Publication series
| Name | Proceedings of the 29th International Conference on Engineering, Technology, and Innovation: Shaping the Future, ICE 2023 |
|---|
Conference
| Conference | 29th International Conference on Engineering, Technology, and Innovation, ICE 2023 |
|---|---|
| Country/Territory | United Kingdom |
| City | Edinburgh |
| Period | 19/06/23 → 22/06/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
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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