已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Life cycle assessment of atmospheric environmental impact on the large-scale promotion of electric vehicles in China

温室气体 环境科学 生命周期评估 空气污染 环境经济学 氮氧化物 生产(经济) 环境工程 自然资源经济学 环境保护 燃烧 生物 宏观经济学 经济 有机化学 化学 生态学
作者
Haoran Shang,Yutong Sun,Desheng Huang,Fanxin Meng
出处
期刊:Resources, environment and sustainability [Elsevier BV]
卷期号:15: 100148-100148 被引量:21
标识
DOI:10.1016/j.resenv.2024.100148
摘要

Decarbonizing the transportation sector emerges as a pivotal step in addressing climate change. In recent years, rapid growth in China's new energy automotive industry has significantly contributed to transportation decarbonization. However, environmental challenges in producing and recycling electric vehicles (EVs) may limit emission reduction benefits. In this study, we establish a comprehensive life cycle assessment model for vehicles to analyze the gap in air pollutant and greenhouse gas emissions between electric vehicles and internal combustion engine vehicles (ICEVs). Based on this model, the environmental benefits of further promoting electric vehicles in China are evaluated. Results reveal that, compared to ICEVs, EVs reduce life cycle emissions of CO2 by 12%, NOx by 69%, and VOCs by 9%. Primary constraints on EVs in emission reduction are traced to raw material and component production, notably lithium batteries. By 2025, under the low carbon EVs policy scenario, widespread EV production and sales could cut lifecycle emissions by 3.55 million tons of CO2, 3,6289 tons of NOx, and 4,315 tons of VOCs. During the driving stage, these indicators contribute 495%, 124%, and 253%, respectively, to total emission reduction throughout the lifecycle. This study conducts a comprehensive lifecycle analysis of greenhouse gases and various air pollutants for Chinese EVs. It integrates the latest market trends, application progress, and policy guidelines into scenario design, identifying key sources and indicators of atmospheric pollution in the EV production chain. The findings offer valuable policy insights into China's role in the global emission reduction process.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
张十三完成签到,获得积分20
2秒前
希望天下0贩的0应助霍霍采纳,获得10
3秒前
4秒前
6秒前
dgqyushen完成签到,获得积分10
8秒前
科研通AI6.1应助张十三采纳,获得10
8秒前
8秒前
9秒前
sun发布了新的文献求助10
10秒前
11秒前
李爱国应助xiao采纳,获得10
11秒前
打酱油的土八路完成签到,获得积分10
11秒前
12秒前
单纯的沂发布了新的文献求助10
13秒前
一碗晚月发布了新的文献求助10
13秒前
lu1020发布了新的文献求助10
14秒前
14秒前
a379896033发布了新的文献求助20
14秒前
桐桐应助lxyonline采纳,获得10
14秒前
科研通AI6.3应助yiyi采纳,获得10
15秒前
清爽冬莲发布了新的文献求助10
18秒前
19秒前
Jack完成签到 ,获得积分10
20秒前
米山发布了新的文献求助10
20秒前
1122完成签到 ,获得积分10
21秒前
汉堡包应助WANGJD采纳,获得10
21秒前
米多多应助微解感染采纳,获得10
22秒前
Lucas应助康2000采纳,获得10
22秒前
22秒前
徐土土完成签到 ,获得积分10
23秒前
yundong完成签到,获得积分10
24秒前
24秒前
25秒前
xiao发布了新的文献求助10
25秒前
小新qqq完成签到,获得积分20
26秒前
内河发布了新的文献求助10
28秒前
29秒前
小新qqq发布了新的文献求助10
29秒前
30秒前
30秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Applied Min-Max Approach to Missile Guidance and Control 5000
Metallurgy at high pressures and high temperatures 2000
Inorganic Chemistry Eighth Edition 1200
The Psychological Quest for Meaning 800
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6329325
求助须知:如何正确求助?哪些是违规求助? 8145742
关于积分的说明 17086666
捐赠科研通 5383844
什么是DOI,文献DOI怎么找? 2855276
邀请新用户注册赠送积分活动 1832887
关于科研通互助平台的介绍 1684151