A comprehensive study on the effect of moisture content on coal spontaneous combustion tendency

IF 1 Q4 GEOSCIENCES, MULTIDISCIPLINARY Iranian Journal of Earth Sciences Pub Date : 2020-07-01 DOI:10.30495/IJES.2020.674671
Amir Saffari, F. Sereshki, M. Ataei
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引用次数: 1

Abstract

There are several phenomenons for polluting the environment, especially in coalfields; which coal spontaneous combustion is one of them. The moisture content is one of the intrinsic characteristics of coal, which has an important role in the occurrence of this phenomenon. Therefore, this research predicts the coal spontaneous combustion tendency based on moisture content. The percentage of moisture content is a very important parameter on the occurrence of this process; so far a conclusion about the effect of moisture content on coal spontaneous combustion, a comprehensive study was done. 55 coal samples with different percentage of moisture content for the training of overall underground coalfields in Iran were collected and the CPT test method for each coal sample was carried out. Then, the method of regression analysis was used for modeling and predicting the coal spontaneous combustion tendency. The results show, the coal sample undergoes oxidation most rapidly when the moisture content supply is about under 20%, and it can reduce coal spontaneous combustion in excessed of 20%, because when moisture is present in excessed of 20%, the heat released by oxidation is used to evaporate the moisture. For validation and testing, 15 coal samples of another coalfield were collected and the CPT test method for each coal sample was carried out, and the results of the test method were compared by the regression equation. The results obtained from the models show that a good appropriate prediction has been done for determining the coal spontaneous combustion tendency by regression analysis.
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水分含量对煤自燃倾向影响的综合研究
污染环境的现象有很多,特别是在煤田;其中煤炭自燃就是其中之一。水分含量是煤的固有特性之一,对这种现象的发生起着重要的作用。因此,本研究基于含水率预测煤的自燃倾向。含水率是影响该过程发生的一个非常重要的参数;目前,对煤的自燃过程进行了较为全面的研究,得出了含水率对煤自燃影响的结论。收集了伊朗全地下煤田训练用的55个不同含水率煤样,对每个煤样进行了CPT试验方法。然后,采用回归分析的方法对煤炭自燃趋势进行建模和预测。结果表明,煤样在含水率供应约为20%时,氧化速度最快,超过20%时可以降低煤的自燃,因为当含水率超过20%时,氧化释放的热量被用来蒸发水分。为了验证和测试,收集了另一个煤田的15个煤样,对每个煤样进行了CPT测试方法,并通过回归方程对测试方法的结果进行了比较。模型计算结果表明,回归分析对煤自燃趋势的预测效果较好。
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来源期刊
Iranian Journal of Earth Sciences
Iranian Journal of Earth Sciences GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
1.40
自引率
12.50%
发文量
0
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