Research on the driving factors and carbon emission reduction pathways of China?s iron and steel industry under the vision of carbon neutrality

被引:17
|
作者
Li, Wei [1 ,3 ]
Zhang, Shuohua [2 ]
Lu, Can [1 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, 689 Hua Dian Rd, Baoding 071003, Hebei, Peoples R China
[2] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
[3] North China Elect Power Univ, Beijing Key Lab New Energy & Low Carbon Dev, Beijing 102206, Peoples R China
关键词
Iron and steel industry; China; Driving factors; Emissions reduction pathway; Carbon neutrality; Extreme learning machine; EXTREME LEARNING-MACHINE; ASSESSING CO2 EMISSIONS; DECOMPOSITION ANALYSIS; ENERGY-CONSERVATION; MODEL; PREDICTION; CONSUMPTION; SIMULATION; PRICE;
D O I
10.1016/j.jclepro.2022.132237
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Under the vision of carbon neutrality, China's iron and steel industry (CISI) urgently needs to achieve low-carbon development. To formulate effective and targeted emission reduction policies for CISI, the driving forces of carbon dioxide (CO2) emissions and future emission reduction pathways in CISI are explored in this paper. The Logarithmic Mean Divisia Index (LMDI) method and the Mean Impact Value (MIV) technique are adopted to analyze the driving factors of CO2 emissions in CISI at historical and prospective dimensions, respectively. Furthermore, the extreme learning machine (ELM) model optimized by the bat algorithm (BA) is established to project the carbon emission reduction pathways of CISI during 2020-2050 under the business-as-usual (BAU) scenario, the low-speed, medium-speed, and high-speed development scenarios considering the constraint of the carbon neutrality target. The results reveal that production capacity and energy efficiency are essential drivers of CO2 emissions in CISI. Consequently, aimed at achieving carbon neutrality, CISI should focus on eliminating backward capacity and simultaneously accelerating the deployment of advanced technologies. Additionally, it is difficult to accomplish the carbon neutrality goal by 2060 under the BAU scenario. Conversely, under the optimal emission reduction pathway determined by the high-speed development scenario, CISI will reach its peak in 2022 with a peak value of 2143.42 million tons of CO2 (MtCO2). The average annual emission abatement rate during 2022-2050 is maintained at approximately 4.47% and the cumulative reduction rate in 2050 will exceed 70% compared to the base year 2019. CISI is required to develop more stringent emission reduction measures to achieve significant emission abatement. The crude steel production capacity should be reduced to 533 Mt in 2050 and the capacity utilization rate should be maintained beyond 80%. The energy consumption per ton of steel must be decreased to 264 Kg of coal equivalent (Kgce) in 2050.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Research on the driving factors and carbon emission reduction pathways of China's iron and steel industry under the vision of carbon neutrality
    Li, Wei
    Zhang, Shuohua
    Lu, Can
    [J]. JOURNAL OF CLEANER PRODUCTION, 2022, 357
  • [2] Research on the driving factors and carbon emission reduction pathways of China's iron and steel industry under the vision of carbon neutrality (vol 357, 131990, 2022)
    Li, Wei
    Zhang, Shuohua
    Lu, Can
    [J]. JOURNAL OF CLEANER PRODUCTION, 2022, 360
  • [3] Decarbonization pathways of China's iron and steel industry toward carbon neutrality
    Wang, Yaxin
    Liu, Jun
    Tang, Xiaolong
    Wang, Yu
    An, Haowen
    Yi, Honghong
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2023, 194
  • [4] China?s pathway to carbon neutrality for the iron and steel industry
    Yu, Xiang
    Tan, Chang
    [J]. GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2022, 76
  • [5] Research on Carbon Emission Evaluation of China's Iron and Steel Industry
    He, Weida
    Zhang, Chuan
    [J]. 2017 4TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ECONOMICS SYSTEM AND INDUSTRIAL SECURITY ENGINEERING (IEIS), 2017,
  • [6] Carbon emission of China’s power industry: driving factors and emission reduction path
    Xiaoyuan Wu
    Changxin Xu
    Teli Ma
    Jingru Xu
    Chenjun Zhang
    [J]. Environmental Science and Pollution Research, 2022, 29 : 78345 - 78360
  • [7] Carbon emission reduction pathways under carbon neutrality targets in Gansu province of China
    Xie, Mingjun
    Liu, Xinyuan
    Yan, Wenshan
    Li, Yongjun
    Liu, Xinwei
    Zhang, Gexiang
    Sun, Jianyun
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [8] Carbon emission of China's power industry: driving factors and emission reduction path
    Wu, Xiaoyuan
    Xu, Changxin
    Ma, Teli
    Xu, Jingru
    Zhang, Chenjun
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (52) : 78345 - 78360
  • [9] Research on carbon emission driving factors of China's provincial construction industry
    Shang, Mei
    Dong, Rui
    Fu, Yujie
    Hao, Wentao
    [J]. 3RD INTERNATIONAL CONFERENCE ON ENERGY EQUIPMENT SCIENCE AND ENGINEERING (ICEESE 2017), 2018, 128
  • [10] Dynamic Prediction and Driving Factors of Carbon Emission in Beijing, China, under Carbon Neutrality Targets
    Li, Yunyan
    Dai, Jian
    Zhang, Shuo
    Cui, Hua
    [J]. ATMOSPHERE, 2023, 14 (05)