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    Lost Gas and Desorption Kinetics of Coal at Different Pressures, Exposure Times, and Sampling Intervals

    Source: Journal of Energy Engineering:;2023:;Volume ( 149 ):;issue: 004::page 04023015-1
    Author:
    Yilin Wang
    ,
    Chengwu Li
    ,
    Zhenfei Li
    ,
    Qiusheng Ye
    ,
    Xin Gao
    DOI: 10.1061/JLEED9.EYENG-4681
    Publisher: American Society of Civil Engineers
    Abstract: The content of coalbed methane (CBM) is an important parameter that affects the performance of coal extraction and the safety of coal mines. The importance of this parameter is especially more pronounced when using the direct method to determine CBM content, in which the measuring accuracy of the lost gas affects the results. The loss is affected by the gas pressure and exposure time. In this article, the influence of gas pressure and exposure time on the estimation results and loss rate was investigated. Moreover, the influence of the sampling interval and observation time on the accuracy of the kinetic model in simulating the desorption process was analyzed. The obtained results demonstrated that the lost gas is positively associated with pressure and exposure time, and the lost gas rate is proportional to the exposure time. It was found that although the Barrer method outperforms the power function method, in terms of calculation accuracy, both methods have large errors. In terms of physical sense and model accuracy, the pore diffusion (IDM) model best fits the desorption kinetics of this coal. In the stable desorption stage, the desorption process is more consistent with Henry’s law. When the desorption changes violently, the desorption process is more consistent with Fick’s diffusion law. In order to ensure the consistency between the model and the experiment (95% confidence interval), the sampling interval of IDM model at 1 MPa should be more than 30 s.
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      Lost Gas and Desorption Kinetics of Coal at Different Pressures, Exposure Times, and Sampling Intervals

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4292916
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    contributor authorYilin Wang
    contributor authorChengwu Li
    contributor authorZhenfei Li
    contributor authorQiusheng Ye
    contributor authorXin Gao
    date accessioned2023-08-16T19:11:47Z
    date available2023-08-16T19:11:47Z
    date issued2023/08/01
    identifier otherJLEED9.EYENG-4681.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4292916
    description abstractThe content of coalbed methane (CBM) is an important parameter that affects the performance of coal extraction and the safety of coal mines. The importance of this parameter is especially more pronounced when using the direct method to determine CBM content, in which the measuring accuracy of the lost gas affects the results. The loss is affected by the gas pressure and exposure time. In this article, the influence of gas pressure and exposure time on the estimation results and loss rate was investigated. Moreover, the influence of the sampling interval and observation time on the accuracy of the kinetic model in simulating the desorption process was analyzed. The obtained results demonstrated that the lost gas is positively associated with pressure and exposure time, and the lost gas rate is proportional to the exposure time. It was found that although the Barrer method outperforms the power function method, in terms of calculation accuracy, both methods have large errors. In terms of physical sense and model accuracy, the pore diffusion (IDM) model best fits the desorption kinetics of this coal. In the stable desorption stage, the desorption process is more consistent with Henry’s law. When the desorption changes violently, the desorption process is more consistent with Fick’s diffusion law. In order to ensure the consistency between the model and the experiment (95% confidence interval), the sampling interval of IDM model at 1 MPa should be more than 30 s.
    publisherAmerican Society of Civil Engineers
    titleLost Gas and Desorption Kinetics of Coal at Different Pressures, Exposure Times, and Sampling Intervals
    typeJournal Article
    journal volume149
    journal issue4
    journal titleJournal of Energy Engineering
    identifier doi10.1061/JLEED9.EYENG-4681
    journal fristpage04023015-1
    journal lastpage04023015-9
    page9
    treeJournal of Energy Engineering:;2023:;Volume ( 149 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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