• Chinese Core Periodicals
  • Chinese Core Journals of Science and Technology
  • RCCSE Chinese Core Academic Journals
  • Netherlands Abstracts and Citations Database(Scopus)
  • Directory of Open Access Journals(DOAJ)
  • Chemical abstracts(CA)
  • Abstract Journal(РЖ,AJ)
  • Japan Science and Technology Agency(JST)
Advance Search
YANG Tao, NIE Baisheng, YE Qiusheng. Prediction Model of Temperature Variation based on Gas Desorption Experiment of Coal Particle[J]. Mining Safety & Environmental Protection, 2019, 46(3): 23-26,47.
Citation: YANG Tao, NIE Baisheng, YE Qiusheng. Prediction Model of Temperature Variation based on Gas Desorption Experiment of Coal Particle[J]. Mining Safety & Environmental Protection, 2019, 46(3): 23-26,47.

Prediction Model of Temperature Variation based on Gas Desorption Experiment of Coal Particle

More Information
  • Received Date: May 23, 2018
  • Revised Date: August 08, 2018
  • Available Online: September 13, 2022
  • By means of laboratory gas desorption test of coal particle, the gas desorption rule of coal particle with the same coal sample in three different particle sizes was studied. On the basis of experimental data analysis, combined with theoretical deduction, a mathematical model of gas desorption and diffusion of coal body based on temperature variation was established, relevant validation was carried out, and the applicability of the model was analyzed. The results show that when the adsorption equilibrium pressure is about 0.34 MPa, the gas desorption amount of the coal in three particle sizes can reach 3.77 mL/g, 3.91 mL/g and 5.65 mL/g respectively, there is a negative correlation between desorption rate and particle size. In the process of gas desorption of coal particles, the measured coal body temperature curve takes the shape of "saddle". Under specific conditions, the mathematical model established to describe the initial stage of gas desorption of coal particle can be used to predict the change of coal body gas desorption temperature. It has important reference value for the study of gas migration process and disaster early warning research in coal mine.
  • [1]
    范章群. 煤层气解吸研究的现状及发展趋势[J]. 中国煤层气, 2008(4):6-10.
    [2]
    CRANK J.The mathematics of diffusion[M]. Oxford University Press, 1979.
    [3]
    安志雄.利用煤层温度确定煤层突出危险性[J].煤矿安全,1983(11):43-46.
    [4]
    雷日科, 袁汉春.按煤层近煤壁处温度状况预报突出危险[J].煤矿安全,1989(4):54-55.
    [5]
    牛国庆, 颜爱华, 刘明举.煤与瓦斯突出过程中温度变化的实验研究[J].西安科技学院学报,2003, 23(3):245-248.
    [6]
    张嘉勇, 罗新荣, 郭立稳.瓦斯突出过程中煤体温度异常变化原因分析[J].煤炭技术,2011, 30(9):88-90.
    [7]
    郭立稳, 俞启香, 蒋承林,等.煤与瓦斯突出过程中温度变化的实验研究[J].岩石力学与工程学报,2000, 19(3):366-368.
    [8]
    郭立稳, 俞启香, 秦长江.龙山煤矿煤与瓦斯突出温度异常现象分析[J].矿业安全与环保,2000, 27(增刊1):53-56.
    [9]
    刘纪坤,何学秋,王翠霞. 红外技术应用煤体瓦斯解吸过程温度测量[J]. 辽宁工程技术大学学报(自然科学版), 2013, 32(9):1161-1165.
    [10]
    杨新乐, 任常在, 张永利,等. 低渗透煤层气注热开采热-流-固耦合数学模型及数值模拟[J].煤炭学报, 2013, 38(6):1044-1049.
    [11]
    SHAHTALEBI A, KHAN C, DMYTERKO A. Investigation of thermal simulation of coal seam gas fields for accelerated gas recovery[J]. Fuel, 2016, 180:301-313.
    [12]
    李志强, 王登科, 宋党育. 新扩散模型下温度对煤粒瓦斯动态扩散系数的影响[J].煤炭学报, 2015, 40(5):1055-1064.
    [13]
    许江, 陶云奇, 尹光志,等.含瓦斯煤THM耦合模型及实验研究[M].北京:科学出版社, 2012.
    [14]
    PERERA M, RANJITH P, CHOID S. Investigation of temperature effect on permeability of naturally fractured black coal for carbon dioxide movement:An experimental and numerical study[J]. Fuel, 2012, 94:596-605.
    [15]
    NIE B, YANG T, LU H, et al. Gas diffusion model through coal particles and parameters calculation[J]. Disaster Advances, 2013, 6(12):51-56.
    [16]
    聂百胜, 杨涛, 李祥春,等.煤粒瓦斯解吸扩散规律实验[J].中国矿业大学学报,2013, 42(6):975-981.
  • Related Articles

    [1]LI Kang, HAN Fei, ZHANG Wenxuan, WEI Xiangyang, WANG Yijun, LI Wenfu, HAN Zongxiang, WANG Gang. Theoretical model and numerical solution of CO adsorption diffusion flow in coal particles[J]. Mining Safety & Environmental Protection, 2025, 52(2): 66-75, 81. DOI: 10.19835/j.issn.1008-4495.20230929
    [2]WANG Siqi, ZHANG Ruilin, ZHOU Yinbo. Study on the effect of temperature on the adsorption and desorption characteristics of methane in coking coal with medium metamorphic degree[J]. Mining Safety & Environmental Protection, 2022, 49(6): 57-61,78. DOI: 10.19835/j.issn.1008-4495.2022.06.010
    [3]YAN Min, LONG Hang, BAI Yang, LIN Haifei. Experimental Study on the Effect of Temperature Effect on Coal Seam Gas Adsorption and Desorption[J]. Mining Safety & Environmental Protection, 2019, 46(3): 6-10.
    [4]LI Zongxiang, LIU Jiang, WANG Tianming. Calculation and Research on the Temperature Distribution Model of Dehumidification and Cooling Airflow in Roadway[J]. Mining Safety & Environmental Protection, 2019, 46(1): 1-4.
    [5]LI Yucheng, ZHAO Xiaotao, LIU Tianqi. Modeling the Prediction of Minimum Ignition Temperature of Coal Dust Cloud Based on the Analysis Index of Coal Quality Industry[J]. Mining Safety & Environmental Protection, 2018, 45(3): 11-15.
    [6]LIU Hao, HOU Jifeng, JIANG Yongdong, SONG Xiao, ZHAO Lijuan. Experimental Study on Desorption Characteristics of Gas in Coal and Shale[J]. Mining Safety & Environmental Protection, 2018, 45(3): 1-5.
    [7]XIANG Yanbin, CHENG Bo, HE Fuquan. Research Status and Progress of Diffusion Characteristics of Gas from Coal Particles[J]. Mining Safety & Environmental Protection, 2017, 44(6): 88-91.
    [8]HAO Yongjiang, YE Fei, PANG Jiewen. Application of Dimensionless in Solution of Gas Emission Model of Coal Particles[J]. Mining Safety & Environmental Protection, 2017, 44(2): 88-90,94.
    [9]WANG Zhen. Analysis on Gas Desorption Characteristics and Influence Factors of Outburst Coal[J]. Mining Safety & Environmental Protection, 2017, 44(1): 102-105.
    [10]MIAO Bo, YANG Jun, WANG Fei, XU Jinpeng. Study and Application of Temperature Distribution Field Model of Collapse Column Surrounding Rock under Action of Groundwater Seepage[J]. Mining Safety & Environmental Protection, 2017, 44(1): 36-39.
  • Cited by

    Periodical cited type(2)

    1. 雷建华. 西山矿区煤粒瓦斯解吸影响因素研究. 煤. 2022(03): 1-4 .
    2. 蔡银英,程建圣,程波. 基于时变扩散系数的圆柱体煤屑的瓦斯放散规律研究. 矿业安全与环保. 2020(03): 32-36 . 本站查看

    Other cited types(4)

Catalog

    Article views (25) PDF downloads (6) Cited by(6)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return