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Addressing the CO2 emissions of the world's largest coal producer and consumer: Lessons from the Haishiwan Coalfield, China

Author

Listed:
  • Li, Wei
  • Younger, Paul L.
  • Cheng, Yuanping
  • Zhang, Baoyong
  • Zhou, Hongxing
  • Liu, Qingquan
  • Dai, Tao
  • Kong, Shengli
  • Jin, Kan
  • Yang, Quanlin

Abstract

China is now the world's largest user of coal, and also has the highest greenhouse gas emissions associated with the mining and use of coal. In the mining sector, the interests of workforce safety coincide with those of GHG (greenhouse gas) management. While the traditional approach to ensuring workforce safety in coal mines was simply to vent the hazardous gases to the atmosphere, thus increasing GHG emissions, recent innovations have seen elements of CCS (carbon capture and storage) being used to simultaneously ensure workforce safety and minimization of GHG emissions. The Haishiwan Coalfield represents a particularly challenging environment for applying this approach, as the coal-bearing strata host both oil shales and a naturally-occurring CO2 reservoir, disturbance of which could both imperil workers and lead to elevated GHG emissions. A low-carbon, CCS-based model of gas management developed in the Haishiwan Coalfield offers attractive lessons for application to other coal mines, within and beyond China. This approach achieves multiple benefits: energy production, enhanced workforce safety and minimization of GHG emissions. Given the extreme nature of the Haishiwan case, it ought to be even easier to implement these approaches elsewhere.

Suggested Citation

  • Li, Wei & Younger, Paul L. & Cheng, Yuanping & Zhang, Baoyong & Zhou, Hongxing & Liu, Qingquan & Dai, Tao & Kong, Shengli & Jin, Kan & Yang, Quanlin, 2015. "Addressing the CO2 emissions of the world's largest coal producer and consumer: Lessons from the Haishiwan Coalfield, China," Energy, Elsevier, vol. 80(C), pages 400-413.
  • Handle: RePEc:eee:energy:v:80:y:2015:i:c:p:400-413
    DOI: 10.1016/j.energy.2014.11.081
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    as
    1. Yu, Shiwei & Wei, Yi-Ming & Guo, Haixiang & Ding, Liping, 2014. "Carbon emission coefficient measurement of the coal-to-power energy chain in China," Applied Energy, Elsevier, vol. 114(C), pages 290-300.
    2. Hailong Lu & Yu-taek Seo & Jong-won Lee & Igor Moudrakovski & John A. Ripmeester & N. Ross Chapman & Richard B. Coffin & Graeme Gardner & John Pohlman, 2007. "Complex gas hydrate from the Cascadia margin," Nature, Nature, vol. 445(7125), pages 303-306, January.
    3. Wang, Jianliang & Feng, Lianyong & Davidsson, Simon & Höök, Mikael, 2013. "Chinese coal supply and future production outlooks," Energy, Elsevier, vol. 60(C), pages 204-214.
    4. Zhu, Zhi-Shuang & Liao, Hua & Cao, Huai-Shu & Wang, Lu & Wei, Yi-Ming & Yan, Jinyue, 2014. "The differences of carbon intensity reduction rate across 89 countries in recent three decades," Applied Energy, Elsevier, vol. 113(C), pages 808-815.
    5. Wang, Lei & Cheng, Yuan-Ping, 2012. "Drainage and utilization of Chinese coal mine methane with a coal–methane co-exploitation model: Analysis and projections," Resources Policy, Elsevier, vol. 37(3), pages 315-321.
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