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Revisiting electric vehicle life cycle greenhouse gas emissions in China: A marginal emission perspective

The accurate estimation of electric vehicle (EV) life cycle greenhouse gas (GHG) emissions is critical for policymakers to predict and manage the reduction of GHG emissions due to transportation electrification. Most previous studies in the Chinese context evaluated the EV life cycle GHG based on th...

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Detalles Bibliográficos
Autores principales: Zhong, Zewei, Yu, Yang, Zhao, Xiaoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214282/
https://www.ncbi.nlm.nih.gov/pubmed/37250332
http://dx.doi.org/10.1016/j.isci.2023.106565
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author Zhong, Zewei
Yu, Yang
Zhao, Xiaoli
author_facet Zhong, Zewei
Yu, Yang
Zhao, Xiaoli
author_sort Zhong, Zewei
collection PubMed
description The accurate estimation of electric vehicle (EV) life cycle greenhouse gas (GHG) emissions is critical for policymakers to predict and manage the reduction of GHG emissions due to transportation electrification. Most previous studies in the Chinese context evaluated the EV life cycle GHG based on the annual average emission factor (AAEF). However, the hourly marginal emission factor (HMEF), which is conceptually more appropriate than AAEF for evaluating the GHG implications of EV growth, has not been applied in China. This study fills this gap by estimating the EV life cycle GHG in China based on the HMEF and comparing it with AAEF-based estimates. It is found that the estimates based on the AAEF substantially underestimate the EV life cycle GHG in China. Moreover, the influences of the electricity marketization reform and changes in the EV charging mode on the EV life cycle GHG in China are analyzed.
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spelling pubmed-102142822023-05-27 Revisiting electric vehicle life cycle greenhouse gas emissions in China: A marginal emission perspective Zhong, Zewei Yu, Yang Zhao, Xiaoli iScience Article The accurate estimation of electric vehicle (EV) life cycle greenhouse gas (GHG) emissions is critical for policymakers to predict and manage the reduction of GHG emissions due to transportation electrification. Most previous studies in the Chinese context evaluated the EV life cycle GHG based on the annual average emission factor (AAEF). However, the hourly marginal emission factor (HMEF), which is conceptually more appropriate than AAEF for evaluating the GHG implications of EV growth, has not been applied in China. This study fills this gap by estimating the EV life cycle GHG in China based on the HMEF and comparing it with AAEF-based estimates. It is found that the estimates based on the AAEF substantially underestimate the EV life cycle GHG in China. Moreover, the influences of the electricity marketization reform and changes in the EV charging mode on the EV life cycle GHG in China are analyzed. Elsevier 2023-04-04 /pmc/articles/PMC10214282/ /pubmed/37250332 http://dx.doi.org/10.1016/j.isci.2023.106565 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Zhong, Zewei
Yu, Yang
Zhao, Xiaoli
Revisiting electric vehicle life cycle greenhouse gas emissions in China: A marginal emission perspective
title Revisiting electric vehicle life cycle greenhouse gas emissions in China: A marginal emission perspective
title_full Revisiting electric vehicle life cycle greenhouse gas emissions in China: A marginal emission perspective
title_fullStr Revisiting electric vehicle life cycle greenhouse gas emissions in China: A marginal emission perspective
title_full_unstemmed Revisiting electric vehicle life cycle greenhouse gas emissions in China: A marginal emission perspective
title_short Revisiting electric vehicle life cycle greenhouse gas emissions in China: A marginal emission perspective
title_sort revisiting electric vehicle life cycle greenhouse gas emissions in china: a marginal emission perspective
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214282/
https://www.ncbi.nlm.nih.gov/pubmed/37250332
http://dx.doi.org/10.1016/j.isci.2023.106565
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