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Prediction of Gas Emissions in the Working Face Based on the Desorption Effects of Granular Coal: A Case Study

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  • Cheng Cheng

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Xiao-Yu Cheng

    (China Coal Energy Research Institute Co., Ltd., Xi’an 710054, China)

  • Han Gao

    (China Coal Energy Research Institute Co., Ltd., Xi’an 710054, China
    School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Wen-Ping Yue

    (Shaanxi Key Laboratory of Safety and Durability of Concrete Structures, Xijing University, Xi’an 710123, China)

  • Chao Liu

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China)

Abstract

The aim of the study in this paper is to establish a prediction model of gas emission in the working face. The gas desorption variation characteristics of coal with different particle sizes were assessed using physical tests and based on the coal body of No. 2 coal seam in Wangjialing Coal Mine, Shanxi, China, to reveal the influence law of coal particle size on coal gas desorption. The gas desorption characteristics in the working face, the law of gas emission of coal cutting, coal caving, coal wall, and remnant coal in the goaf of the production process were then analyzed after establishing a gas emission prediction model based on the particle size of the coal. The accuracy of the gas emission prediction model was finally validated through actual measurement of the coal particle size distribution and gas emission in the test working face. The results of the current study show that the coal particle size is negatively correlated with the gas desorption capacity within a certain range. The initial desorption intensity of the coal gas decreased with an increase in the coal particle size. However, the initial gas desorption intensity and attenuation coefficient of gas emission were constant after a certain level of increase in the coal particle size. It was found that the average error between the gas emission prediction model and the actual gas emission data in the mining process was 5.29% based on the desorption characteristics of granular coal. Therefore, the established gas emission prediction model can characterize the law of gas emission in the actual production process more effectively. Furthermore, it provides reliable support for the prediction and control of gas emissions from the goaf under the condition of fully mechanized mining with top coal caving.

Suggested Citation

  • Cheng Cheng & Xiao-Yu Cheng & Han Gao & Wen-Ping Yue & Chao Liu, 2022. "Prediction of Gas Emissions in the Working Face Based on the Desorption Effects of Granular Coal: A Case Study," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11353-:d:911486
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    References listed on IDEAS

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    1. Lifeng Wu & Sifeng Liu & Ding Chen & Ligen Yao & Wei Cui, 2014. "Using gray model with fractional order accumulation to predict gas emission," 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. 71(3), pages 2231-2236, April.
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