Beijing Heavy-Duty Diesel Vehicle Electrification Transformation and Emission Estimation in 2022

21 Pages Posted: 11 Apr 2023

See all articles by Mengqi Fu

Mengqi Fu

Tianjin University of Technology

Yanyan Yang

Beijing Municipal Ecological and Environmental Monitoring Center

Yong Li

affiliation not provided to SSRN

Huanqin Wang

affiliation not provided to SSRN

Fajun Yu

affiliation not provided to SSRN

Juan Liu

Tianjin University of Technology

Abstract

Road transport is a scenario for the use of fossil fuels to a large extent, and the process of electrification can slow down the use of fossil fuels. This study analyzes the annual emissions of nitrogen oxides (NOX) and carbon dioxide (CO2) of heavy-duty diesel vehicles (HDDVs) and the feasibility of electrification in Beijing based on on-board diagnostics (OBD) of remote monitoring data from more than 9000 HDDVs. The annual NOX and CO2 emissions of 13 industry types were 44,980.9 and 6,658,722.6 tons in 2022. The highest contributor to NOX and CO2 emissions is concrete trucks, accounting for 27.1% and 17.0% of the 13 industry type vehicles. The electrification of concrete trucks can greatly reduce diesel emissions in Pinggu and other districts and realize regional emission reduction management. The CO2 emission factor of passenger buses in Pinggu district is significantly higher than that of other districts, which is 1212.4g/km, and the electrification of passenger buses can significantly reduce CO2 emissions in Pinggu district. This study investigates HDDVs in Beijing, provides a scientific basis for the electrification management of key models in Beijing, and provides a regional reference for the electrification trend of HDDVs in various countries worldwide.

Keywords: EV, HDDVs, OBD, NOX, CO2

Suggested Citation

Fu, Mengqi and Yang, Yanyan and Li, Yong and Wang, Huanqin and Yu, Fajun and Liu, Juan, Beijing Heavy-Duty Diesel Vehicle Electrification Transformation and Emission Estimation in 2022. Available at SSRN: https://ssrn.com/abstract=4416478 or http://dx.doi.org/10.2139/ssrn.4416478

Mengqi Fu

Tianjin University of Technology ( email )

School of Management, Tianjin University of Techn
Tianjin, 300384
China

Yanyan Yang

Beijing Municipal Ecological and Environmental Monitoring Center ( email )

Yong Li

affiliation not provided to SSRN ( email )

Huanqin Wang

affiliation not provided to SSRN ( email )

Fajun Yu

affiliation not provided to SSRN ( email )

Juan Liu (Contact Author)

Tianjin University of Technology ( email )

School of Management, Tianjin University of Techn
Tianjin, 300384
China

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