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Vehicle greenhouse gas emission factors based on multi-dimensional Bin interval mode

Authors :
Wu Rui
Zhang Hao
Yang Daoyuan
Liu Yu
Yu Hanzhengnan
Zhang Xinyu
An Xianpan
Ma Kunqi
Liang Yongkai
Xu Hang
Source :
E3S Web of Conferences, Vol 536, p 01009 (2024)
Publication Year :
2024
Publisher :
EDP Sciences, 2024.

Abstract

The emission factors of greenhouse gases from motor vehicles are of significant importance for low-carbon and environmentally friendly initiatives. This paper focuses on greenhouse gas emission factors of heavy-duty vehicles. The multi-dimensional Bin interval mode are proposed, which considers multiple parameters such as vehicle speed, acceleration, torque, and rotational speed. Based on this, the emission characteristics of greenhouse gases from heavy-duty vehicles. are investigated under different parameter conditions. The results indicate that as the VSPA value or the engine torque increases, the CO2 emission factor also increases accordingly. The CO2 emission factor is lower at medium to high rotational speeds, while it tends to increase at low rotational speeds. The research findings provide support for monitoring and evaluating greenhouse gas emissions and offer scientific guidance for formulating specific carbon reduction policies, emission targets, and plans.

Subjects

Subjects :
Environmental sciences
GE1-350

Details

Language :
English, French
ISSN :
22671242
Volume :
536
Database :
Directory of Open Access Journals
Journal :
E3S Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.4afce4d7e1894b22a7389b530d55d06d
Document Type :
article
Full Text :
https://doi.org/10.1051/e3sconf/202453601009