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Life-cycle energy consumption and greenhouse gas emissions for electricity generation and supply in China

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  • Ou, Xunmin
  • Xiaoyu, Yan
  • Zhang, Xiliang
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    Abstract

    The Well-to-Meter (WTM) analysis module in the Tsinghua-CA3EM model has been used to examine the primary fossil energy consumption (PFEC) and greenhouse gas (GHG) emissions for electricity generation and supply in China. The results show that (1) the WTM PFEC and GHG emission intensities for the 2007 Chinese electricity mix are 3.247Â MJ/MJ and 297.688Â g carbon dioxide of equivalent (gCO2,e)/MJ, respectively; (2) power generation is the main contributing sub-stage; (3) the coal-power pathway is the only major contributor of PFEC (96.23%) and GHG emissions (97.08%) in the 2007 mix; and (4) GHG emissions intensity in 2020 will be reduced to 220.470Â gCO2,e/MJ with the development of nuclear and renewable energy and to 169.014Â gCO2,e/MJ if carbon dioxide capture and storage (CCS) technology is employed. It is concluded that (1) the current high levels of PFEC and GHG emission for electricity in China are largely due to the dominant role of coal in the power-generation sector and the relatively low efficiencies during all the sub-stages from resource extraction to final energy consumption and (2) the development of nuclear and renewable energy as well as low carbon technologies such as CCS can significantly reduce GHG emissions from electricity.

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    Bibliographic Info

    Article provided by Elsevier in its journal Applied Energy.

    Volume (Year): 88 (2011)
    Issue (Month): 1 (January)
    Pages: 289-297

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    Handle: RePEc:eee:appene:v:88:y:2011:i:1:p:289-297

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    Keywords: Life-cycle analysis Greenhouse gas Power generation Electricity supply CCS China;

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    Cited by:
    1. Zhang, Xian & Wang, Xingwei & Chen, Jiajun & Xie, Xi & Wang, Ke & Wei, Yiming, 2014. "A novel modeling based real option approach for CCS investment evaluation under multiple uncertainties," Applied Energy, Elsevier, vol. 113(C), pages 1059-1067.
    2. Chen, Wei-Hsin & Hou, Yu-Lin & Hung, Chen-I, 2011. "A theoretical analysis of the capture of greenhouse gases by single water droplet at atmospheric and elevated pressures," Applied Energy, Elsevier, vol. 88(12), pages 5120-5130.
    3. Bambawale, Malavika Jain & Sovacool, Benjamin K., 2011. "China's energy security: The perspective of energy users," Applied Energy, Elsevier, vol. 88(5), pages 1949-1956, May.
    4. Zhou, Guanghui & Ou, Xunmin & Zhang, Xiliang, 2013. "Development of electric vehicles use in China: A study from the perspective of life-cycle energy consumption and greenhouse gas emissions," Energy Policy, Elsevier, vol. 59(C), pages 875-884.
    5. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    6. Dong, Jun & Chi, Yong & Zou, Daoan & Fu, Chao & Huang, Qunxing & Ni, Mingjiang, 2014. "Energy–environment–economy assessment of waste management systems from a life cycle perspective: Model development and case study," Applied Energy, Elsevier, vol. 114(C), pages 400-408.
    7. Liu, Beibei & Wang, Feng & Zhang, Bing & Bi, Jun, 2013. "Energy balance and GHG emissions of cassava-based fuel ethanol using different planting modes in China," Energy Policy, Elsevier, vol. 56(C), pages 210-220.
    8. Chen, Wei-Hsin & Tsai, Ming-Hang & Hung, Chen-I, 2013. "Numerical prediction of CO2 capture process by a single droplet in alkaline spray," Applied Energy, Elsevier, vol. 109(C), pages 125-134.
    9. Nugent, Daniel & Sovacool, Benjamin K., 2014. "Assessing the lifecycle greenhouse gas emissions from solar PV and wind energy: A critical meta-survey," Energy Policy, Elsevier, vol. 65(C), pages 229-244.
    10. Wang, Yi-Shu & Xie, Bai-Chen & Shang, Li-Feng & Li, Wen-Hua, 2013. "Measures to improve the performance of China’s thermal power industry in view of cost efficiency," Applied Energy, Elsevier, vol. 112(C), pages 1078-1086.

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