Energy consumption and CO2 emissions in China's cement industry: A perspective from LMDI decomposition analysis

被引:208
|
作者
Xu, Jin-Hua [1 ]
Fleiter, Tobias [2 ]
Eichhammer, Wolfgang [2 ]
Fan, Ying [1 ]
机构
[1] Chinese Acad Sci, Inst Policy & Management, Ctr Energy & Environm Policy Res, Beijing 100190, Peoples R China
[2] Fraunhofer Inst Syst & Innovat Res, D-76139 Karlsruhe, Germany
基金
中国国家自然科学基金;
关键词
Chinese cement industry; Energy efficiency; CO2; emission; MEAN DIVISIA INDEX; EFFICIENCY;
D O I
10.1016/j.enpol.2012.08.038
中图分类号
F [经济];
学科分类号
02 ;
摘要
We analyze the change of energy consumption and CO2 emissions in China's cement industry and its driving factors over the period 1990-2009 by applying a log-mean Divisia index (LMDI) method. It is based on the typical production process for clinker manufacturing and differentiates among four determining factors: cement output, clinker share, process structure and specific energy consumption per kiln type. The results show that the growth of cement output is the most important factor driving energy consumption up, while clinker share decline, structural shifts mainly drive energy consumption down (similar for CO2 emissions). These efficiency improvements result from a number of policies which are transforming the entire cement industry towards international best practice including shutting down many older plants and raising the efficiency standards of cement plants. Still, the efficiency gains cannot compensate for the huge increase in cement production resulting from economic growth particularly in the infrastructure and construction sectors. Finally, scenario analysis shows that applying best available technology wound result in an additional energy saving potential of 26% and a CO2 mitigation potential of 33% compared to 2009. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:821 / 832
页数:12
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] Driving forces of Iran's CO2 emissions from energy consumption: An LMDI decomposition approach
    Mousavi, Babak
    Lopez, Neil Stephen A.
    Manuel Biona, Jose Bienvenido
    Chiu, Anthony S. F.
    Blesl, Markus
    [J]. APPLIED ENERGY, 2017, 206 : 804 - 814
  • [4] China's transportation energy consumption and CO2 emissions from a global perspective
    Yin, Xiang
    Chen, Wenying
    Eom, Jiyong
    Clarke, Leon E.
    Kim, Son H.
    Patel, Pralit L.
    Yu, Sha
    Kyle, G. Page
    [J]. ENERGY POLICY, 2015, 82 : 233 - 248
  • [5] Quantifying CO2 emissions from China's cement industry
    Shen, Weiguo
    Cao, Liu
    Li, Qiu
    Zhang, Wensheng
    Wang, Guiming
    Li, Chaochao
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 50 : 1004 - 1012
  • [6] 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
  • [7] Decoupling economic growth from CO2 emissions: A decomposition analysis of China's household energy consumption
    MA Xiao-Wei
    YE Yi
    SHI Xiu-Qing
    ZOU Le-Le
    [J]. Advances in Climate Change Research, 2016, 7 (03) : 192 - 200
  • [8] Decoupling economic growth from CO2 emissions: A decomposition analysis of China's household energy consumption
    Ma Xiao-Wei
    Ye Yi
    Shi Xiu-Qing
    Zou Le-Le
    [J]. ADVANCES IN CLIMATE CHANGE RESEARCH, 2016, 7 (03) : 192 - 200
  • [9] 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
  • [10] Energy consumption in China's logistics industry: A decomposition analysis using the LMDI approach
    Dai, Ying
    Gao, H. Oliver
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2016, 46 : 69 - 80