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Gas drainage efficiency: an input–output model for evaluating gas drainage projects

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  • Fu-bao Zhou
  • Xin-xin Wang
  • Ying-ke Liu

Abstract

Gas drainage not only ensures safety in coal mine but also produces clean energy and reduces emission of greenhouse gases. However, a good method to evaluate the efficiency of gas drainage is still absent. In this study, we firstly propose a definition of gas drainage efficiency which is defined as the ratio of the real output–input efficiency to the ideal output–input efficiency. The definition combines both engineering parameters such as radius, length of borehole and economical parameters such as drilling cost to develop a comprehensive index for the assessment of the engineering–economical efficiency. Then, three important factors to determine gas drainage efficiency including the difficulty level, the input and output, namely investment and production, and the attenuation characteristic of gas drainage are discussed. Based on the relative standards, the index can reasonably evaluate gas drainage projects with different difficulty levels, thereby avoiding dependence on an absolute standard for the evaluation of overall difficulty levels. The indicator can also take both input and output into consideration and reflect the reduction of gas drainage flow with time. Besides, we investigate the relationship between gas drainage efficiency and several engineering parameters, including borehole radius, borehole length and the quality of borehole sealing. The results show the possibility of optimizing engineering parameters to maximize gas drainage efficiency. Finally, the evaluation method is proven efficient by performing case studies. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Fu-bao Zhou & Xin-xin Wang & Ying-ke Liu, 2014. "Gas drainage efficiency: an input–output model for evaluating gas drainage projects," 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. 74(2), pages 989-1005, November.
    • Handle: RePEc:spr:nathaz:v:74:y:2014:i:2:p:989-1005
    DOI: 10.1007/s11069-014-1224-2
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    References listed on IDEAS

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    1. Briec, Walter & Comes, Christine & Kerstens, Kristiaan, 2006. "Temporal technical and profit efficiency measurement: Definitions, duality and aggregation results," International Journal of Production Economics, Elsevier, vol. 103(1), pages 48-63, September.
    2. Vitikainen, Kirsi & Street, Andrew & Linna, Miika, 2009. "Estimation of hospital efficiency--Do different definitions and casemix measures for hospital output affect the results?," Health Policy, Elsevier, vol. 89(2), pages 149-159, February.
    3. Marmolejo-Correa, Danahe & Gundersen, Truls, 2012. "A comparison of exergy efficiency definitions with focus on low temperature processes," Energy, Elsevier, vol. 44(1), pages 477-489.
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    Cited by:

    1. Cheng Zhai & Xianwei Xiang & Jizhao Xu & Shiliang Wu, 2016. "The characteristics and main influencing factors affecting coal and gas outbursts in Chinese Pingdingshan mining region," 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. 82(1), pages 507-530, May.
    2. Yuliang Yang & Penghua Han & Zhining Zhao & Wei Chen, 2022. "The Method of Determining Layer in Bottom Drainage Roadway Taking Account of the Influence of Drilling Angle on Gas Extraction Effect," Sustainability, MDPI, vol. 14(9), pages 1-13, April.
    3. Yuan Zhao & Shugang Cao & Yong Li & Hongyun Yang & Ping Guo & Guojun Liu & Ruikai Pan, 2018. "Experimental and numerical investigation on the effect of moisture on coal permeability," 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. 90(3), pages 1201-1221, February.
    4. Fangtian Wang & Cun Zhang & Ningning Liang, 2017. "Gas Permeability Evolution Mechanism and Comprehensive Gas Drainage Technology for Thin Coal Seam Mining," Energies, MDPI, vol. 10(9), pages 1-18, September.
    5. Yanfang Lyu & Yun Xiang & Dong Wang, 2023. "Evaluating Indirect Economic Losses from Flooding Using Input–Output Analysis: An Application to China’s Jiangxi Province," IJERPH, MDPI, vol. 20(5), pages 1-17, March.
    6. Zhengtao Zhang & Ning Li & Hong Xu & Jieling Feng & Xi Chen & Chao Gao & Peng Zhang, 2019. "Allocating assistance after a catastrophe based on the dynamic assessment of indirect economic losses," 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(1), pages 17-37, October.

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