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Emission factors of fugitive methane from underground coal mines in China: Estimation and uncertainty

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  • Wang, Ke
  • Zhang, Jianjun
  • Cai, Bofeng
  • Yu, Shengmin

Abstract

Fugitive methane from underground coal mining is the main source of methane emissions in China. Accurate and updateable methane emission factors for underground coal mining are of great significance for the accounting of methane emissions in China. In this paper, 10,951 underground coal mines are investigated for developing an emission factor matrix for national and provincial scales. For national emission factors, 27 types of emission factors are determined according to the classification of the ownership of the enterprise, gas emission rate, and maximum mining depth. For provincial emission factors, three types of emission factors for 25 provinces are determined based on gas emission rates. Based on these metrics, this paper uses bootstrap and Monte Carlo simulations to determine the uncertainty range of different emission factors at the 95% confidence interval (CI). The results show that emission factors at the national scale ranged from 3.005 m3/t to 54.487 m3/t, with a 95% CI of 2.735 m3/t to 76.082 m3/t, and that emission factors at the provincial scale ranged from 0.58 m3/t to 56.19 m3/t, with a 95% CI of 0.347 m3/t to 108.115 m3/t. By comparison, the emission factors calculated in this paper are more representative than the default values recommended by the Intergovernmental Panel on Climate Change (IPCC). In addition, these results are more specific and updateable than those in previous studies, which lays a foundation for the future study of fugitive methane emissions from underground coal mines at different scales.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:250:y:2019:i:c:p:273-282
    DOI: 10.1016/j.apenergy.2019.05.024
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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. 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.
    3. Hui Liu & Gabriel Rodriguez, 2003. "Human Activities and Global Warming: A Cointegration Analysis," Working Papers 0307E, University of Ottawa, Department of Economics.
    4. Zhang, Bo & Yang, T.R. & Chen, B. & Sun, X.D., 2016. "China’s regional CH4 emissions: Characteristics, interregional transfer and mitigation policies," Applied Energy, Elsevier, vol. 184(C), pages 1184-1195.
    5. Yang, Ming, 2009. "Climate change and energy policies, coal and coalmine methane in China," Energy Policy, Elsevier, vol. 37(8), pages 2858-2869, August.
    6. Zhu Liu & Dabo Guan & Wei Wei & Steven J. Davis & Philippe Ciais & Jin Bai & Shushi Peng & Qiang Zhang & Klaus Hubacek & Gregg Marland & Robert J. Andres & Douglas Crawford-Brown & Jintai Lin & Hongya, 2015. "Reduced carbon emission estimates from fossil fuel combustion and cement production in China," Nature, Nature, vol. 524(7565), pages 335-338, August.
    7. Zhang, Bo & Chen, G.Q., 2014. "Methane emissions in China 2007," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 886-902.
    8. Zhang, Bo & Chen, G.Q. & Li, J.S. & Tao, L., 2014. "Methane emissions of energy activities in China 1980–2007," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 11-21.
    9. 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.
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    7. Yuxin Huang & Jingdao Fan & Zhenguo Yan & Shugang Li & Yanping Wang, 2022. "A Gas Concentration Prediction Method Driven by a Spark Streaming Framework," Energies, MDPI, vol. 15(15), pages 1-13, July.

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