| Issue |
E3S Web of Conf.
Volume 536, 2024
2024 6th International Conference on Environmental Prevention and Pollution Control Technologies (EPPCT 2024)
|
|
|---|---|---|
| Article Number | 03014 | |
| Number of page(s) | 6 | |
| Section | Gas Emission Control and Solid Waste Treatment | |
| DOI | https://doi.org/10.1051/e3sconf/202453603014 | |
| Published online | 10 June 2024 | |
Research on a multi-scale emission factor dataset constructing method
1 Laboratory of transport pollution control and monitoring technology, Transport planning and research institute, Ministry of transport department, Beijing, 100028, China
2 China Automotive Technology & Research Center Co., Ltd., Tianjin, 300300, China
3 CATARC Automotive Test Center (Tianjin) Co., Ltd., Tianjin, 300300, China
4 School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300401, China
* Corresponding author’s e-mail: zhanghao2023@catarc.ac.cn
This paper proposes a multi-scale emission factor dataset constructing method. Firstly, actual road driving and pollutant emission data of heavy-duty trucks are obtained. Subsequently, a method for dividing multi-scale Bin intervals based on engine load, vehicle speed, and acceleration is proposed to establish suitable multi-scale Bin intervals for the driving characteristics of heavy-duty trucks. Finally, based on the proposed method, an emission factor dataset highlighting typical driving characteristics of heavy-duty trucks is constructed. The research findings will provide government regulatory authorities with more microscopic and multi-scale guidance on motor vehicle emissions.
© 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.