E3S Web of Conferences (Jan 2024)

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

  • Wu Rui,
  • Zhang Hao,
  • Yang Daoyuan,
  • Liu Yu,
  • Yu Hanzhengnan,
  • Zhang Xinyu,
  • An Xianpan,
  • Ma Kunqi,
  • Liang Yongkai,
  • Xu Hang

DOI
https://doi.org/10.1051/e3sconf/202453601009
Journal volume & issue
Vol. 536
p. 01009

Abstract

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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.