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An estimation of regional emission intensity of coal mine methane based on coefficient‐intensity factor methodology using China as a case study

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  • Ning Wang
  • Zongguo Wen
  • Tao Zhu

Abstract

Coal mine methane (CMM) is an important component of greenhouse gas (GHG) control, clean energy, and coal mining safety. Because of the complicated geological conditions and non‐linear characteristics of CMM emissions, the Intergovernmental Panel on Climate Change (IPCC) calculation methodology of CMM emissions is based on a large emission factor range (10–25 m-super-3/t), limiting the accuracy of the CMM emissions calculation. This paper studies CMM emission characteristics, and designs a coefficient‐intensity factor methodology integrated with IPCC methodology, to make a contribution to increase its applicability to regional circumstances. Using China as a case study, this paper uses 798 mines as samples, aiming to find a function of the relative gas emission rate and coal production. Through the calculation of the classification outflow coefficient and the regional emission intensity factor, the national emission intensity factor is about 9.176, which is lower than the minimum of IPCC emission factors for underground mining. © 2015 Society of Chemical Industry and John Wiley & Sons, Ltd

Suggested Citation

  • Ning Wang & Zongguo Wen & Tao Zhu, 2015. "An estimation of regional emission intensity of coal mine methane based on coefficient‐intensity factor methodology using China as a case study," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 5(4), pages 437-448, August.
  • Handle: RePEc:wly:greenh:v:5:y:2015:i:4:p:437-448
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    File URL: http://hdl.handle.net/10.1002/ghg.1485
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    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. Gao, Ting & Lin, Wensheng & Gu, Anzhong & Gu, Min, 2010. "Coalbed methane liquefaction adopting a nitrogen expansion process with propane pre-cooling," Applied Energy, Elsevier, vol. 87(7), pages 2142-2147, July.
    3. 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.
    4. 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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    1. Yang, Tianle & Li, Fangmin & Du, Min & Huang, Miao & Li, Yinuo, 2023. "Impacts of alternative energy production innovation on reducing CO2 emissions: Evidence from China," Energy, Elsevier, vol. 268(C).
    2. Wang, Ke & Zhang, Jianjun & Cai, Bofeng & Yu, Shengmin, 2019. "Emission factors of fugitive methane from underground coal mines in China: Estimation and uncertainty," Applied Energy, Elsevier, vol. 250(C), pages 273-282.
    3. Bing Wang & Chao-Qun Cui & Yi-Xin Zhao & Bo Yang & Qing-Zhou Yang, 2019. "Carbon emissions accounting for China’s coal mining sector: invisible sources of climate change," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1345-1364, December.
    4. Liang Feng & Paul I. Palmer & Sihong Zhu & Robert J. Parker & Yi Liu, 2022. "Tropical methane emissions explain large fraction of recent changes in global atmospheric methane growth rate," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    5. Wang, Ning & Ren, Yixin & Zhu, Tao & Meng, Fanxin & Wen, Zongguo & Liu, Gengyuan, 2018. "Life cycle carbon emission modelling of coal-fired power: Chinese case," Energy, Elsevier, vol. 162(C), pages 841-852.
    6. Wang, Qian & Gu, Qinghua & Li, Xuexian & Xiong, Naixue, 2024. "Comprehensive overview: Fleet management drives green and climate-smart open pit mine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).

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