Impacts of fleet types and charging modes for electric vehicles on emissions under different penetrations of wind power

Xinyu Chen (), Hongcai Zhang, Zhiwei Xu, Chris P. Nielsen, Michael B. McElroy () and Jiajun Lv
Additional contact information
Xinyu Chen: Harvard University
Hongcai Zhang: Tsinghua University
Zhiwei Xu: Tsinghua University
Chris P. Nielsen: Harvard University
Michael B. McElroy: Harvard University
Jiajun Lv: Xi’an Jiaotong University

Nature Energy, 2018, vol. 3, issue 5, 413-421

Abstract: Abstract Current Chinese policy promotes the development of both electricity-propelled vehicles and carbon-free sources of power. Concern has been expressed that electric vehicles on average may emit more CO2 and conventional pollutants in China. Here, we explore the environmental implications of investments in different types of electric vehicle (public buses, taxis and private light-duty vehicles) and different modes (fast or slow) for charging under a range of different wind penetration levels. To do this, we take Beijing in 2020 as a case study and employ hourly simulation of vehicle charging behaviour and power system operation. Assuming the slow-charging option, we find that investments in electric private light-duty vehicles can result in an effective reduction in the emission of CO2 at several levels of wind penetration. The fast-charging option, however, is counter-productive. Electrifying buses and taxis offers the most effective option to reduce emissions of NOx, a major precursor for air pollution.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (34)

Downloads: (external link)
https://www.nature.com/articles/s41560-018-0133-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natene:v:3:y:2018:i:5:d:10.1038_s41560-018-0133-0

Ordering information: This journal article can be ordered from
https://www.nature.com/nenergy/

DOI: 10.1038/s41560-018-0133-0

Access Statistics for this article

Nature Energy is currently edited by Fouad Khan

More articles in Nature Energy from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().