The analysis of CO2 emissions and reduction potential in china's production and supply of electric and heat power industry: A case study based on the LMDI method

被引:8
|
作者
Li, Wei [1 ]
Liu, Liguo [1 ]
Wang, Xuyang [1 ]
Quan, Congxin [1 ]
Zhang, Shu [1 ]
Yu, Haiyong [1 ]
机构
[1] North China Elect Power Univ, Dept Econ Management, Baoding 071003, Peoples R China
基金
中国国家社会科学基金;
关键词
carbon emissions; LMDI model; peak; reduction potential; CARBON-DIOXIDE EMISSIONS; DECOMPOSITION ANALYSIS; SCENARIO ANALYSIS; GHG EMISSIONS; ENERGY; SECTOR; GENERATION;
D O I
10.1002/ep.13192
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Production and Supply of Electric and Heat Power Industry is an important energy supply sector in China. In this article, we apply the Logarithmic Mean Divisia Index decomposition method to analyze the carbon emissions of China's electricity and thermal supply industry from 2003 to 2012. Under different scenarios, this study also forecasts the carbon emissions and calculates reduction potential of The Production and Supply of Electric and Heat Power Industry. The results show the economic output effect and energy intensity effect promote the sector's CO2 emissions growth, however the energy structure effect decrease the sector's carbon emissions. At the end of 2030, the accumulated emission reduction will be 4160.84 Mt in moderate reduction scenario and 11,593.27 Mt in strong reduction scenario. If all the indexes maintain the current change rate, the industry will reach carbon emissions peak at the time of 2030, What is more, the time for emissions peak will be 2025 and 2020 in moderate reduction scenario and strong reduction scenario. Finally, the article proposes to improve energy efficiency and promote the development of clean energy to reduce the carbon emissions of the Production and Supply of Electric and Heat Power Industry. Draw more stringent environmental standards and incentives to promote energy-saving existing technology, the application can also combine with the means of financial subsidies to encourage the companies to reduce the energy intensity of the sector or strengthen the impact of energy intensity effect on the change of carbon emissions, promote the industry early peak. (c) 2019 American Institute of Chemical Engineers Environ Prog, 38:e13146, 2019
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Decomposition and scenario analysis of CO2 emissions in China's power industry: based on LMDI method
    Zhao, Yuhuan
    Li, Hao
    Zhang, Zhonghua
    Zhang, Yongfeng
    Wang, Song
    Liu, Ya
    [J]. NATURAL HAZARDS, 2017, 86 (02) : 645 - 668
  • [2] Decomposition and scenario analysis of CO2 emissions in China’s power industry: based on LMDI method
    Yuhuan Zhao
    Hao Li
    Zhonghua Zhang
    Yongfeng Zhang
    Song Wang
    Ya Liu
    [J]. Natural Hazards, 2017, 86 : 645 - 668
  • [3] CO2 emissions in China's power industry by using the LMDI method
    Zou, Xin
    Li, Jiaxuan
    Zhang, Qian
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (11) : 31332 - 31347
  • [4] CO2 emissions in China’s power industry by using the LMDI method
    Xin Zou
    Jiaxuan Li
    Qian Zhang
    [J]. Environmental Science and Pollution Research, 2023, 30 : 31332 - 31347
  • [5] Driving forces analysis of CO2 emissions from China's electric industry based on two-phase LMDI decomposition method
    Li, Rong
    Dong, Jun
    Pa, Lidan
    [J]. JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2021, 13 (01)
  • [6] Scenario analysis of CO2 emissions from China's electric power industry
    Meng, Ming
    Jing, Kaiqiang
    Mander, Sarah
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 142 : 3101 - 3108
  • [7] Reduction potential of CO2 emissions in China's transport industry
    Lin, Boqiang
    Xie, Chunping
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 33 : 689 - 700
  • [8] CO2 emissions and reduction potential in China's chemical industry
    Zhu, Bing
    Zhou, Wenji
    Hu, Shanying
    Li, Qiang
    Griffy-Brown, Charla
    Jin, Yong
    [J]. ENERGY, 2010, 35 (12) : 4663 - 4670
  • [9] Scenario analysis on CO2 emissions reduction potential in China's iron and steel industry
    Wang, Ke
    Wang, Can
    Lu, Xuedu
    Chen, Jining
    [J]. ENERGY POLICY, 2007, 35 (04) : 2320 - 2335
  • [10] An analysis of the decoupling relationship between CO2 emission in power industry and GDP in China based on LMDI method
    Xie, Pinjie
    Gao, Shuangshuang
    Sun, Feihu
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 211 : 598 - 606