Carbon emissions in China's steel industry from a life cycle perspective: Carbon footprint insights

透视图(图形) 温室气体 中国 碳纤维 环境科学 碳足迹 生命周期评估 自然资源经济学 环境经济学 生产(经济) 地理 计算机科学 经济 人工智能 算法 考古 生态学 宏观经济学 复合数 生物
作者
Xiaocong Song,Shuai Du,Chenning Deng,Peng Shen,Minghui Xie,Ci Zhao,Chen Chen,Xiaoyu Liu
出处
期刊:Journal of Environmental Sciences-china [Elsevier BV]
卷期号:148: 650-664 被引量:105
标识
DOI:10.1016/j.jes.2023.04.027
摘要

China is the most important steel producer in the world, and its steel industry is one of the most carbon-intensive industries in China. Consequently, research on carbon emissions from the steel industry is crucial for China to achieve carbon neutrality and meet its sustainable global development goals. We constructed a carbon dioxide (CO2) emission model for China's iron and steel industry from a life cycle perspective, conducted an empirical analysis based on data from 2019, and calculated the CO2 emissions of the industry throughout its life cycle. Key emission reduction factors were identified using sensitivity analysis. The results demonstrated that the CO2 emission intensity of the steel industry was 2.33 tCO2/t, and the production and manufacturing stages were the main sources of CO2 emissions, accounting for 89.84% of the total steel life-cycle emissions. Notably, fossil fuel combustion had the highest sensitivity to steel CO2 emissions, with a sensitivity coefficient of 0.68, reducing the amount of fossil fuel combustion by 20% and carbon emissions by 13.60%. The sensitivities of power structure optimization and scrap consumption were similar, while that of the transportation structure adjustment was the lowest, with a sensitivity coefficient of less than 0.1. Given the current strategic goals of peak carbon and carbon neutrality, it is in the best interest of the Chinese government to actively promote energy-saving and low-carbon technologies, increase the ratio of scrap steel to steelmaking, and build a new power system.
最长约 10秒,即可获得该文献文件

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
李爱国应助ccc采纳,获得10
刚刚
澳大利亚完成签到,获得积分10
刚刚
陶醉的惊蛰完成签到,获得积分10
刚刚
Shu_ji完成签到,获得积分10
1秒前
顾矜应助贾道采纳,获得10
1秒前
nolimithyer完成签到,获得积分20
1秒前
Yoki完成签到,获得积分10
1秒前
ASLYJS完成签到,获得积分10
2秒前
cugwzr完成签到,获得积分10
2秒前
fqefesjk完成签到,获得积分10
2秒前
肉脸小鱼完成签到,获得积分10
2秒前
天涯赤子完成签到,获得积分10
2秒前
Song完成签到,获得积分10
3秒前
搜集达人应助arone采纳,获得10
3秒前
勤劳尔珍应助龙宫采纳,获得10
3秒前
2305814008发布了新的文献求助10
4秒前
要减肥的若南完成签到,获得积分10
4秒前
万能图书馆应助lehha采纳,获得10
4秒前
4秒前
chf102完成签到,获得积分10
4秒前
超级驼鹿完成签到,获得积分10
5秒前
小二郎应助152455采纳,获得10
5秒前
聪慧的若山完成签到,获得积分10
5秒前
zero桥完成签到,获得积分10
5秒前
lemon发布了新的文献求助10
5秒前
壮观以松完成签到,获得积分10
5秒前
虚幻的源智完成签到,获得积分10
6秒前
英姑应助DY901004采纳,获得10
6秒前
chen完成签到,获得积分20
6秒前
Scss完成签到,获得积分10
6秒前
赵吉思汗完成签到,获得积分10
6秒前
wm发布了新的文献求助10
6秒前
JamesPei应助风中思松采纳,获得10
7秒前
7秒前
费凝海完成签到,获得积分10
8秒前
在水一方应助忧郁的发夹采纳,获得10
8秒前
啵啵应助无辜的沛槐采纳,获得10
8秒前
8秒前
8秒前
8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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Les chinois de jakarta: temples et vie collective 500
The fast track to determining transfer functions of linear circuits: The student guide 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7627861
求助须知:如何正确求助?哪些是违规求助? 9202308
关于积分的说明 19730413
捐赠科研通 7197610
什么是DOI,文献DOI怎么找? 3273903
关于科研通互助平台的介绍 2436244
邀请新用户注册赠送积分活动 2270060