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A Comparison of Carbon Dioxide Emissions between Battery Electric Buses and Conventional Diesel Buses

Feng Mao / Zhiheng Li / Kai Zhang

To prove the important role of battery electric buses (BEBs) in reducing carbon dioxide (CO $_{2}$ ) emissions, we propose a framework to compare CO $_{2}$ emissions between BEBs and conventional diesel buses (CDBs) based on low sampling frequency BEBs data at the city scale in Shenzhen. We applied the VT-Micro model to improve the estimation of CDBs’ CO $_{2}$ emissions. A modal-activity-based method was implemented to reconstruct the second-by-second trajectories from the dataset as the input of the VT-Micro model. We updated the data of the Guangdong power generation mix to improve the estimation of BEBs’ CO $_{2}$ emissions. The experiments showed that BEBs could reduce CO $_{2}$ emissions by 18.0–23.9% in comparison with CDBs when the frequency of air-conditioning usage was low. In addition, BEBs tended to achieve more CO $_{2}$ emission reduction benefits when the transit buses traveled at a low speed. Improving the traffic efficiency of road networks and promoting inter-provincial electricity trading are important to promote the adoption of BEBs.

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A Comparison of Carbon Dioxide Emissions between Battery Electric Buses and Conventional Diesel Buses

Feng Mao / Zhiheng Li / Kai Zhang

To prove the important role of battery electric buses (BEBs) in reducing carbon dioxide (CO $_{2}$ ) emissions, we propose a framework to compare CO $_{2}$ emissions between BEBs and conventional diesel buses (CDBs) based on low sampling frequency BEBs data at the city scale in Shenzhen. We applied the VT-Micro model to improve the estimation of CDBs’ CO $_{2}$ emissions. A modal-activity-based method was implemented to reconstruct the second-by-second trajectories from the dataset as the input of the VT-Micro model. We updated the data of the Guangdong power generation mix to improve the estimation of BEBs’ CO $_{2}$ emissions. The experiments showed that BEBs could reduce CO $_{2}$ emissions by 18.0–23.9% in comparison with CDBs when the frequency of air-conditioning usage was low. In addition, BEBs tended to achieve more CO $_{2}$ emission reduction benefits when the transit buses traveled at a low speed. Improving the traffic efficiency of road networks and promoting inter-provincial electricity trading are important to promote the adoption of BEBs.

A Comparison of Carbon Dioxide Emissions between Battery Electric Buses and Conventional Diesel Buses

Feng Mao / Zhiheng Li / Kai Zhang

To prove the important role of battery electric buses (BEBs) in reducing carbon dioxide (CO $_{2}$ ) emissions, we propose a framework to compare CO $_{2}$ emissions between BEBs and conventional diesel buses (CDBs) based on low sampling frequency BEBs data at the city scale in Shenzhen. We applied the VT-Micro model to improve the estimation of CDBs’ CO $_{2}$ emissions. A modal-activity-based method was implemented to reconstruct the second-by-second trajectories from the dataset as the input of the VT-Micro model. We updated the data of the Guangdong power generation mix to improve the estimation of BEBs’ CO $_{2}$ emissions. The experiments showed that BEBs could reduce CO $_{2}$ emissions by 18.0–23.9% in comparison with CDBs when the frequency of air-conditioning usage was low. In addition, BEBs tended to achieve more CO $_{2}$ emission reduction benefits when the transit buses traveled at a low speed. Improving the traffic efficiency of road networks and promoting inter-provincial electricity trading are important to promote the adoption of BEBs.

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Title:

A Comparison of Carbon Dioxide Emissions between Battery Electric Buses and Conventional Diesel Buses

Contributors:

Feng Mao (author) / Zhiheng Li (author) / Kai Zhang (author)

Published in:

Sustainability, Vol 13, Iss 9, p 5170 (2021)

Publication date:

2021

ISSN:

DOI:

https://doi.org/10.3390/su13095170

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

Unknown

Keywords:

battery electric buses , the VT-Micro model , modal-activity-based method , power generation mix , Environmental effects of industries and plants , TD194-195 , Renewable energy sources , TJ807-830 , Environmental sciences , GE1-350

Metadata by DOAJ is licensed under CC BY-SA 1.0

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