| Issue |
E3S Web Conf.
Volume 475, 2024
InCASST 2023 - The 1st International Conference on Applied Sciences and Smart Technologies
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 6 | |
| Section | Clean Energy and Green Technologies | |
| DOI | https://doi.org/10.1051/e3sconf/202447501006 | |
| Published online | 08 January 2024 | |
The effect of chassis weight optimization on the carbon footprint of the electric prototype vehicle
Mechanical Engineering Department, Faculty of Science and Technology, Sanata Dharma University, Sleman, Indonesia
* Corresponding author: heryoga@usd.ac.id
Electrification of vehicles has become increasingly widespread lately. It aims to reduce carbon emissions globally. Another step, namely reducing vehicle weight, is expected to reduce energy consumption during the operation. A vehicle part that can be reduced in weight is the chassis. This research compares the carbon footprint between the stock chassis and the lightweight version. The lightweight chassis requires additional energy during its fabrication. Life cycle analysis (LCA) is conducted to calculate the carbon footprint of each chassis. Material loss and manufacturing time are the main differences in the footprint. Manufacturing strategy is important in order to minimize the emission of the process. The lightweight chassis can reduce CO2 emission by 11% assuming 200 hours of operation. Therefore, optimization of the weight significantly reduces the emission.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.