How China's electricity generation sector can achieve its carbon intensity reduction targets?

被引:42
作者
Zhao, Yuhuan [1 ,2 ]
Cao, Ye [1 ,3 ]
Shi, Xunpeng [3 ]
Li, Hao [1 ]
Shi, Qiaoling [1 ]
Zhang, Zhonghua [4 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[2] Sustainable Dev Res Inst Econ & Soc Beijing, Beijing 100081, Peoples R China
[3] Univ Technol Sydney, Australia China Relat Inst, Ultimo, NSW 2007, Australia
[4] Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Driving forces; Scenario analysis; Carbon intensity; Electricity generation; 2020/2030; targets; GREENHOUSE-GAS EMISSIONS; COAL-FIRED POWER; CO2; EMISSIONS; DECOMPOSITION ANALYSIS; ENERGY-CONSUMPTION; DRIVING FORCES; DRIVERS; COMBUSTION; PROVINCES; POLICY;
D O I
10.1016/j.scitotenv.2019.135689
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As the largest sector with decarbonization potential, electricity generation is critical for achieving carbon intensity reduction targets of China by 2020 and 2030. This study combines temporal decomposition and scenario analysis to identify the key drivers and provinces with increasing carbon intensity of electricity generation (CIE) and designs four scenarios by integrating efficiency improvement and structural adjustment in 30 provinces of China, and estimates the possible reduction of CIE by 2020 and 2030. Results show that 1) CIE in China decreases by 7.25% during 2001-2015. The estimated CIE during 12th FYP in this study is 25% lower than the estimation using IPCC emission factors, which is closer to China's reality. 2) Driving forces of CIE changes in 30 provinces vary greatly across provinces. The increasing CIE in four worse-performance regions (i.e. Northeast, South Coast, Southwest, Northwest) is mainly caused by energy mix effect and geographic distribution effect. The CIE growth in South Coast is also related to thermal power share effect. 3) Both 2020/2030 targets can be achieved by regulating the drivers for CIE growth in 30 provinces (i.e., RAK scenario). CIE decline is concentrated in three types of provinces, namely provinces with large economic size, strong policy support and clean energy implementation. The findings and recommendations provide insights into achieving 2020/2030 targets for CIE reduction. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Structural and technological determinants of carbon intensity reduction of China's electricity generation
    Zhao, Yuhuan
    Cao, Ye
    Shi, Xunpeng
    Zhang, Zhonghua
    Zhang, Wenjie
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (11) : 13469 - 13486
  • [2] Regional differences and driving factors of carbon emission intensity in China's electricity generation sector
    Sun, Xiaoyan
    Lian, Wenwei
    Wang, Bingyan
    Gao, Tianming
    Duan, Hongmei
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (26) : 68998 - 69023
  • [3] Can China achieve its 2030 energy development targets by fulfilling carbon intensity reduction commitments?
    Cui, Lianbiao
    Li, Rongjing
    Song, Malin
    Zhu, Lei
    ENERGY ECONOMICS, 2019, 83 : 61 - 73
  • [4] Will China make a difference in its carbon intensity reduction targets by 2020 and 2030?
    Xu, Lei
    Chen, Nengcheng
    Chen, Zeqiang
    APPLIED ENERGY, 2017, 203 : 874 - 882
  • [5] Structural and technological determinants of carbon intensity reduction of China’s electricity generation
    Yuhuan Zhao
    Ye Cao
    Xunpeng Shi
    Zhonghua Zhang
    Wenjie Zhang
    Environmental Science and Pollution Research, 2021, 28 : 13469 - 13486
  • [6] Investigating driving forces of aggregate carbon intensity of electricity generation in China
    Wang, Junfeng
    He, Shutong
    Qiu, Ye
    Liu, Nan
    Li, Yongjian
    Dong, Zhanfeng
    ENERGY POLICY, 2018, 113 : 249 - 257
  • [7] Changes in carbon intensity in China's industrial sector: Decomposition and attribution analysis
    Liu, Nan
    Ma, Zujun
    Kang, Jidong
    ENERGY POLICY, 2015, 87 : 28 - 38
  • [8] Can China decarbonize its electricity sector?
    Demetriou, E.
    Hadjistassou, C.
    ENERGY POLICY, 2021, 148
  • [9] Aggregate carbon intensity of China's thermal electricity generation: The inequality analysis and nested spatial decomposition
    Wang, Yaxian
    Yan, Qingyou
    Li, Zuyi
    Balezentis, Tomas
    Zhang, Yong
    Gang, Lu
    Streimikiene, Dalia
    JOURNAL OF CLEANER PRODUCTION, 2020, 247
  • [10] Modeling Interprovincial Cooperative Carbon Reduction in China: An Electricity Generation Perspective
    Zeng, Lijun
    Du, Wenjing
    Zhao, Laijun
    Sun, Zhimei
    FRONTIERS IN ENERGY RESEARCH, 2021, 9