4.6 Article

Transportation emissions scenarios for New York City under different carbon intensities of electricity and electric vehicle adoption rates

期刊

NATURE ENERGY
卷 6, 期 1, 页码 92-104

出版社

NATURE RESEARCH
DOI: 10.1038/s41560-020-00740-2

关键词

-

资金

  1. US EPA, Office of Research and Development

向作者/读者索取更多资源

This study examines the impact of New York City's CO2 reduction policies on the transportation sector, highlighting the importance of electrification of light-duty vehicles for reducing air emissions.
City-scale emission scenarios are critical for transport and energy sector policy making. Using a model that accounts for building stock and transportation fleets, Isik et al. visualize emission changes in the transport sector in New York City under various electric vehicle adoption and grid decarbonization scenarios. Like many cities around the world, New York City is establishing policies to reduce CO2 emissions from all energy sectors by 2050. Understanding the impact of varying degrees of electric vehicle adoption and CO2 intensities on emissions reduction in the city is critical. Here, using a technology-rich, bottom-up, energy system optimization model, we analyse the cost and air emissions impacts of New York City's proposed CO2 reduction policies for the transportation sector through a scenario framework. Our analysis reveals that the electrification of light-duty vehicles at earlier periods is essential for deeper reductions in air emissions. When further combined with energy efficiency improvements, these actions contribute to CO2 reductions under the scenarios of more CO2-intense electricity. Substantial reliance on fossil fuels and a need for structural change pose challenges to cost-effective CO2 reductions in the transportation sector. Here we find that uncertainties associated with decarbonization of the electric grid have a minimum influence on the cost-effectiveness of CO2 reduction pathways for the transportation sector.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据