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Transport oil product consumption and GHG emission reduction potential in China: An electric vehicle-based scenario analysis
China’s transport sector is facing enormous challenges from soaring energy consumption and greenhouse gas (GHG) emissions. Transport electrification has been viewed as a major solution to transportation decarbonization, and electric vehicles (EVs) have attracted considerable attention from policymak...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746360/ https://www.ncbi.nlm.nih.gov/pubmed/31525217 http://dx.doi.org/10.1371/journal.pone.0222448 |
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author | Zheng, Yuhua Li, Shiqi Xu, Shuangshuang |
author_facet | Zheng, Yuhua Li, Shiqi Xu, Shuangshuang |
author_sort | Zheng, Yuhua |
collection | PubMed |
description | China’s transport sector is facing enormous challenges from soaring energy consumption and greenhouse gas (GHG) emissions. Transport electrification has been viewed as a major solution to transportation decarbonization, and electric vehicles (EVs) have attracted considerable attention from policymakers. This paper analyzes the effects of the introduction of EVs in China. A system dynamics model is developed and applied to assess the energy-saving and emission-reducing impacts of the projected penetration of EVs until the year 2030. Five types of scenarios of various EV penetration rates, electricity generation mixes, and the speed of technological improvement are discussed. Results confirm that reductions in transport GHG emissions and gasoline and diesel consumption by 3.0%–16.2%, 4.4%–16.1%, and 15.8%–34.3%, respectively, will be achieved by 2030 under China’s projected EV penetration scenarios. Results also confirm that if EV penetration is accompanied by decarbonized electricity generation, that is, the use of 55% coal by 2030, then total transport GHG emissions will be further reduced by 0.8%–4.4%. Moreover, further reductions of GHG emissions of up to 5.6% could be achieved through technological improvement. The promotion of EVs could substantially affect the reduction of transport GHG emissions in China, despite the uncertainty of the influence intensity, which is dependent on the penetration rate of EVs, the decarbonization of the power sector, and the technological improvement efficiency of EVs and internal combustion engine vehicles. |
format | Online Article Text |
id | pubmed-6746360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67463602019-09-27 Transport oil product consumption and GHG emission reduction potential in China: An electric vehicle-based scenario analysis Zheng, Yuhua Li, Shiqi Xu, Shuangshuang PLoS One Research Article China’s transport sector is facing enormous challenges from soaring energy consumption and greenhouse gas (GHG) emissions. Transport electrification has been viewed as a major solution to transportation decarbonization, and electric vehicles (EVs) have attracted considerable attention from policymakers. This paper analyzes the effects of the introduction of EVs in China. A system dynamics model is developed and applied to assess the energy-saving and emission-reducing impacts of the projected penetration of EVs until the year 2030. Five types of scenarios of various EV penetration rates, electricity generation mixes, and the speed of technological improvement are discussed. Results confirm that reductions in transport GHG emissions and gasoline and diesel consumption by 3.0%–16.2%, 4.4%–16.1%, and 15.8%–34.3%, respectively, will be achieved by 2030 under China’s projected EV penetration scenarios. Results also confirm that if EV penetration is accompanied by decarbonized electricity generation, that is, the use of 55% coal by 2030, then total transport GHG emissions will be further reduced by 0.8%–4.4%. Moreover, further reductions of GHG emissions of up to 5.6% could be achieved through technological improvement. The promotion of EVs could substantially affect the reduction of transport GHG emissions in China, despite the uncertainty of the influence intensity, which is dependent on the penetration rate of EVs, the decarbonization of the power sector, and the technological improvement efficiency of EVs and internal combustion engine vehicles. Public Library of Science 2019-09-16 /pmc/articles/PMC6746360/ /pubmed/31525217 http://dx.doi.org/10.1371/journal.pone.0222448 Text en © 2019 Zheng et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zheng, Yuhua Li, Shiqi Xu, Shuangshuang Transport oil product consumption and GHG emission reduction potential in China: An electric vehicle-based scenario analysis |
title | Transport oil product consumption and GHG emission reduction potential in China: An electric vehicle-based scenario analysis |
title_full | Transport oil product consumption and GHG emission reduction potential in China: An electric vehicle-based scenario analysis |
title_fullStr | Transport oil product consumption and GHG emission reduction potential in China: An electric vehicle-based scenario analysis |
title_full_unstemmed | Transport oil product consumption and GHG emission reduction potential in China: An electric vehicle-based scenario analysis |
title_short | Transport oil product consumption and GHG emission reduction potential in China: An electric vehicle-based scenario analysis |
title_sort | transport oil product consumption and ghg emission reduction potential in china: an electric vehicle-based scenario analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746360/ https://www.ncbi.nlm.nih.gov/pubmed/31525217 http://dx.doi.org/10.1371/journal.pone.0222448 |
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