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Energy saving and emission reduction of China's urban district heating

Author

Listed:
  • Chen, Xia
  • Wang, Li
  • Tong, Lige
  • Sun, Shufeng
  • Yue, Xianfang
  • Yin, Shaowu
  • Zheng, Lifang

Abstract

China's carbon dioxide (CO2) emission ranks highest in the world. China is committed to reduce its CO2 emission by 40% to 45% from the 2005 levels by 2020. To fulfill the target, China's CO2 emission reduction must exceed 6995 million tons. Energy consumption and CO2 emission of China's urban district heating (UDH) are increasing. The current policy implemented to improve UDH focuses on replacing coal with natural gas to reduce energy consumption and CO2 emission to some extent. This paper proposes that heat pump heating (HPH) could serve as a replacement for UDH to help realize energy-saving and emission-reduction goals to a greater extent. The paper also analyzes the impact of this replacement on the heating and power generation sectors. The results show that replacing coal-based UDH with HPH decreases energy consumption and CO2 emission by 43% in the heating sector. In the power generation sector, the efficiency of power generation at the valley electricity time increases by 0.512%, and the ratio of peak–valley difference decreases by 16.5%. The decreases in CO2 emission from the heating and power generation sectors cumulatively account for 5.55% of China's total CO2 emission reduction target in 2020.

Suggested Citation

  • Chen, Xia & Wang, Li & Tong, Lige & Sun, Shufeng & Yue, Xianfang & Yin, Shaowu & Zheng, Lifang, 2013. "Energy saving and emission reduction of China's urban district heating," Energy Policy, Elsevier, vol. 55(C), pages 677-682.
    • Handle: RePEc:eee:enepol:v:55:y:2013:i:c:p:677-682
    DOI: 10.1016/j.enpol.2012.12.032
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    References listed on IDEAS

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    1. Guo, Jin & Huang, Ying & Wei, Chu, 2015. "North–South debate on district heating: Evidence from a household survey," Energy Policy, Elsevier, vol. 86(C), pages 295-302.
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    12. Chen, Jiayang & Zheng, Wen & Kong, Ying & Yang, Xiaolin & Liu, Zhaoyang & Xia, Jianjun, 2021. "Case study on combined heat and water system for nuclear district heating in Jiaodong Peninsula," Energy, Elsevier, vol. 218(C).
    13. Zhang, Chenghu & Li, Yaping, 2018. "Thermodynamic performance of cycle combined large temperature drop heat exchange process:Theoretical models and advanced process," Energy, Elsevier, vol. 150(C), pages 1-18.
    14. Mazhar, Abdur Rehman & Liu, Shuli & Shukla, Ashish, 2018. "A state of art review on the district heating systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 420-439.
    15. Luo, Ao & Fang, Hao & Xia, Jianjun & Lin, Borong & jiang, Yi, 2017. "Mapping potentials of low-grade industrial waste heat in Northern China," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 335-348.
    16. Zhang, Yichi & Xia, Jianjun & Fang, Hao & Zuo, Hetao & Jiang, Yi, 2019. "Roadmap towards clean heating in 2035: Case study of inner Mongolia, China," Energy, Elsevier, vol. 189(C).
    17. Gong, Mei & Werner, Sven, 2015. "An assessment of district heating research in China," Renewable Energy, Elsevier, vol. 84(C), pages 97-105.
    18. Zhao, Jing & Duan, Yaoqi & Liu, Xiaojuan, 2019. "Study on the policy of replacing coal-fired boilers with gas-fired boilers for central heating based on the 3E system and the TOPSIS method: A case in Tianjin, China," Energy, Elsevier, vol. 189(C).
    19. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    20. Du, Mingxi & Wang, Xiaoge & Peng, Changhui & Shan, Yuli & Chen, Huai & Wang, Meng & Zhu, Qiuan, 2018. "Quantification and scenario analysis of CO2 emissions from the central heating supply system in China from 2006 to 2025," Applied Energy, Elsevier, vol. 225(C), pages 869-875.
    21. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.
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