Multi-scenario simulation on reducing CO2 emissions from China's major manufacturing industries targeting 2060

被引:12
|
作者
Zhou, Sheng [1 ,2 ]
Gu, Alun [2 ]
Tong, Qing [2 ]
Guo, Yuefeng [3 ]
Wei, Xinyang [4 ]
机构
[1] Tsinghua Univ, Tsinghua Univ Zhang Jiagang Joint Inst Hydrogen E, Beijing, Peoples R China
[2] Tsinghua Univ, Inst Energy Environm & Econ, Beijing 100084, Peoples R China
[3] Beihang Univ, Suzhou Inst, Suzhou, Peoples R China
[4] Macau Univ Sci & Technol, Sch Business, Taipa, Macao, Peoples R China
基金
中国国家自然科学基金;
关键词
China; CO2; emission; industrial ecology; industrial process; reduction; scenario analysis; CEMENT INDUSTRY; STEEL; ENERGY; IRON; ALUMINUM; INFRASTRUCTURE;
D O I
10.1111/jiec.13233
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
CO2 emissions from industrial processes are the main components of global greenhouse gas emissions. Based on analyzing the industrial activity level, technological progress, raw material substitution, and CO2 recycling ratio from the cement, aluminum, ammonia, steel, lime, and ferroalloy industries, this paper considers three scenarios, namely, national determined contribution (NDC), carbon mitigation scenario (CMS), and deep mitigation scenario (DMS), and systematically explores the CO2 emissions from future industrial processes as well as relevant cumulative emissions, emission sources, mitigation potentials, and mitigation sources in China. The results demonstrate that CO2 emissions of the six main industrial processes can be continuously and significantly reduced in China. In the scenarios, compared with the 2020 level (1448 million metric tons of CO2), the CO2 emissions can be reduced by 71%, 82%, and 94%, respectively, in 2060, mainly owing to the reduction of the activity level, the adjustment of the product structure and the application of carbon capture and storage (CCS) under the DMS scenario. This paper provides several major policy implications to reduce the CO2 emissions through adjusting the industrial structure and current lifestyles, improving the durability of industrial products and the management and technical levels, increasing the substitution ratio of low-carbon raw materials in industrial production, supporting innovative low-carbon technologies, the establishment and operation of the carbon market and carbon pricing mechanism, and further promoting the current "leader" system of energy-intensive industries.
引用
收藏
页码:850 / 861
页数:12
相关论文
共 50 条
  • [1] Multi-Scenario Simulation of Land Use Carbon Emissions from Energy Consumption in Shenzhen, China
    Tang, Wenwen
    Cui, Lihan
    Zheng, Sheng
    Hu, Wei
    LAND, 2022, 11 (10)
  • [2] Reducing CO2 emissions in China's manufacturing industry: Evidence from nonparametric additive regression models
    Xu, Bin
    Lin, Boqiang
    ENERGY, 2016, 101 : 161 - 173
  • [3] Scenario analysis of CO2 emissions from China's electric power industry
    Meng, Ming
    Jing, Kaiqiang
    Mander, Sarah
    JOURNAL OF CLEANER PRODUCTION, 2017, 142 : 3101 - 3108
  • [4] Key influencing factor and future scenario simulation of China's CO2 emissions from road freight transportation
    Zhu, Lichao
    Xiong, Qiang
    SUSTAINABLE PRODUCTION AND CONSUMPTION, 2023, 37 : 11 - 25
  • [5] Energy efficiency and CO2 emissions in Swedish manufacturing industries
    Clara Inés Pardo Martínez
    Semida Silveira
    Energy Efficiency, 2013, 6 : 117 - 133
  • [6] CO2 emissions in German, Swedish and Colombian manufacturing industries
    Cotte Poveda, Alexander
    Pardo Martinez, Clara Ines
    REGIONAL ENVIRONMENTAL CHANGE, 2013, 13 (05) : 979 - 988
  • [7] Energy efficiency and CO2 emissions in Swedish manufacturing industries
    Pardo Martinez, Clara Ines
    Silveira, Semida
    ENERGY EFFICIENCY, 2013, 6 (01) : 117 - 133
  • [8] Multi-scenario reduction pathways and decoupling analysis of China's sectoral carbon emissions
    Zhou, Kaile
    Yang, Jingna
    Yin, Hui
    Ding, Tao
    ISCIENCE, 2023, 26 (12)
  • [9] CO2 emissions in German, Swedish and Colombian manufacturing industries
    Alexander Cotte Poveda
    Clara Inés Pardo Martínez
    Regional Environmental Change, 2013, 13 : 979 - 988
  • [10] The Scenario forecasting analysis of CO2 emissions of China
    Wang, Jianjun
    Li, Li
    SUSTAINABLE DEVELOPMENT OF INDUSTRY AND ECONOMY, PTS 1 AND 2, 2014, 869-870 : 836 - +