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Greenhouse gas emissions and peak trend of commercial vehicles in China.
Wang, Xue; Dai, Miao; Wang, Wenbin; Gao, Yue; Qi, Tao; Dong, Xiaolan; Ren, Pinqiao; Ding, Ning.
Afiliação
  • Wang X; China Auto Information Technology (Tianjin) Co., Ltd., China Automotive Technology and Research Center Co., Ltd., Tianjin, 300300, China.
  • Dai M; China Auto Information Technology (Tianjin) Co., Ltd., China Automotive Technology and Research Center Co., Ltd., Tianjin, 300300, China.
  • Wang W; China Auto Information Technology (Tianjin) Co., Ltd., China Automotive Technology and Research Center Co., Ltd., Tianjin, 300300, China.
  • Gao Y; China Auto Information Technology (Tianjin) Co., Ltd., China Automotive Technology and Research Center Co., Ltd., Tianjin, 300300, China.
  • Qi T; China Auto Information Technology (Tianjin) Co., Ltd., China Automotive Technology and Research Center Co., Ltd., Tianjin, 300300, China.
  • Dong X; China Auto Information Technology (Tianjin) Co., Ltd., China Automotive Technology and Research Center Co., Ltd., Tianjin, 300300, China.
  • Ren P; Beijing University of Technology, National Engineering Laboratory for Industrial Big-Data Application Technology, Beijing, 100124, China.
  • Ding N; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China. Electronic address: ningding@rcees.ac.cn.
J Environ Manage ; 331: 117262, 2023 Apr 01.
Article em En | MEDLINE | ID: mdl-36731334
ABSTRACT
Commercial vehicles are important within the context of global warming, since they exhibit greenhouse gas (GHG) emissions that are disproportionate to their quantity. The aim of this study was to create a bottom-up GHG emissions assessment model which considers GHG emissions of newly produced commercial vehicles and those in current use. Through this study, the number of future commercial vehicles were predicted, thereby facilitating a simulation of future GHG emissions. Our results show that the total GHG emissions of commercial vehicles in 2019 was 580 million t CO2-eq.. Among them, the GHG emissions stemming from the production of new commercial vehicles accounted for ∼0.3% of the emissions, whereas the use stage accounted for more than 99.0%. Moreover, the future ownership of commercial vehicles depends on GDP and the demand of freight and passenger transport. The ownership of commercial vehicles was predicted about 36.61 million in 2025, 45.44 million in 2030 and 55.85 million in 2035. The carbon peak of commercial vehicles varies across different scenarios, peaking around 2031-2034, at 680-780 million t CO2-eq.. This study systematically simulated the carbon peak of commercial vehicles, contributing toward a deeper understanding of commercial vehicles within the context of GHG emissions. These results can be applied toward creating quantitatively-driven pathways for carbon peak or neutrality targets in the commercial vehicle sector.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Gases de Efeito Estufa Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Gases de Efeito Estufa Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article