A study on predicting model for self-heating behavior of coal based on adiabatic oxidation experiment

doi:10.16265/j.cnki.issn1003-3033.2017.06.012

Abstract

Abstract: In order to improve the testing results more reliable and complete and make them applicable for engineering practice, lignite and bituminous coal samples were studied experimentally and theoretically. The adiabatic oxidation method was applied to test the spontaneous combustion behaviors of these two samples. Based on results of the tests, a mathematical model for predicting spontaneous combustion characteristics of coal was developed to study self-heating rate and oxidation process of the lignite and bituminous coal. The effectiveness of the model was checked by the testing data. Trend of the self-heating curve from the experiment agrees with that of the self-heating traces determined by the model. Then the calibrated model was further used to predict the self-heating behaviors of other coals with different coal quality parameters and dynamic parameters. The testing and predicting results indicate that the thermal-runaway time determined by the tests and the model for lignite is 5.6 and 5.1 h and for bituminous coal is 43.8 and 42.2 h. This model is capable of facilitating the test to generate a complete self-heating curve and predicting the thermal-runaway time of spontaneous combustion of coal.

Key words: adiabatic oxidation, spontaneous combustion, thermal-runaway time, predicting model, self-heating rate

CLC Number:

X936

WANG Xinyang, LUO Yi, ZHANG Xun, HAO Chaoyu. A study on predicting model for self-heating behavior of coal based on adiabatic oxidation experiment[J]. China Safety Science Journal, 2017, 27(6): 67-72.

References

[1] DAVIS J D, BYRNE J F. An adiabatic method for studying spontaneous heating of coal [J]. Journal of the AmericanCeramic Society, 1924, 7: 809-816.
[2] HUMPHREYS D R. A study of the propensity of Queensland coals to spontaneous combustion [D]. Brisbane:The University of Queensland,1979.
[3] BEAMISH B B, ARISOY A. Effect of intrinsic coal properties on self-heating rates [C]. Proceedings of 12^th U.S./North American Mine Ventilation Symposium, 2008: 149-153.
[4] BEAMISH B B, BARAKAT M A, ST GEORGE J D. Adiabatic testing procedures for determining the self-heating propensity of coal and sample aging effects [J]. Thermochimica Acta, 2000, 362:79-87.
[5] BEAMISH B B, BEAMISH R. Benchmarking coal self-heating using a moist adiabatic oven test [C]. Proceedings of 14^th United States/North American Mine Ventilation Symposium, 2012: 423-427.
[6] 仲晓星.煤自燃倾向性的氧化动力学测试方法研究[D].徐州:中国矿业大学, 2008.
ZHONG Xiaoxing. Experimental method for determining propensity of spontaneous combustion of coal based on oxidation kinetics[D]. Xuzhou:China University of Mining and Technology, 2008.
[7] 邓军,徐精彩,张迎弟,等.煤最短自然发火期试验及数值分析[J].煤炭学报,1999,24(3):274-278.
DENG Jun, XU Jingcai, ZHANG Yingdi, et al. Experimental and numerical analysis of the shortest spontaneous combustion period of coal [J].Journal of China Coal Society, 1999, 24(3): 274-278.
[8] 何启林.煤低温氧化性与自燃过程的试验及模拟的研究[D].徐州:中国矿业大学, 2004.
HE Qilin. Study on experiment and computer simulation of coal oxidation of low temperature and whole spontaneous process[D]. Xuzhou: China University of Mining and Technology, 2004.
[9] WANG Xinyang, LUO Yi. Experimental studies of spontaneous combustion propensity of coal [C]. Proceedings of 29^thInternational Pittsburgh Coal Conference, 2011: 12-15.
[10] 周西华,宋东平,聂荣山,等.褐煤燃烧阶段碳氧化物生成规律研究[J]. 中国安全科学学报, 2016, 26(3):59-63.
ZHOU Xihua, SONG Dongping, NIE Rongshan, et al. Study on formation law of carbon oxides of lignite in combustion phase[J]. China Safety Science Journal, 2016, 26(3):59-63.
[11] 何启林.煤层自燃发火期的计算方法研究.矿井通风机及通风安全新技术[M].徐州:中国矿业大学出版社,2002:5-10.
HE Qilin. Study on the calculating method for the period of spontaneous combustion of coal seam. Mine fan and new technology of ventilation and safety[M].Xuzhou: China University of Mining and Technology Press, 2002: 5-10.
[12] 余明高,王清安,范维澄,等.煤层自然发火期预测的研究[J].中国矿业大学学报,2001,30(4):384-387.
YU Minggao, WANG Qingan, FAN Weicheng, et al. Study on prediction of self-heating period of coal seam[J]. Journal of China University of Mining and Technology, 2001,30(4):384-387.
[13] 朱红青,刘丹龙,刘建荣.基于Arrhenius方程的煤的绝热氧化过程研究[J].中国安全科学学报,2016, 26(7):63-67.
ZHU Hongqing, LIU Danlong, LIU Jianrong. Research on coal adiabatic oxidation based on Arrhenius equation[J]. China Safety Science Journal, 2016, 26(7):63-67.

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