摘要
为了探究煤中孔隙结构参数与煤自燃着火温度之间的相关性,利用液氮吸附试验测试了4种不同变质程度煤样的孔隙结构与孔径分布,利用热重试验得到了煤的自燃着火温度和着火能力,利用Pearson相关系数法计算了煤的着火温度与孔隙结构关键参数之间的关联性。结果表明,随着煤变质程度的增加,煤孔隙的吸附能力、比表面积和孔体积均先降后增,介孔占比逐渐减小,大孔占比逐渐增加;随着煤变质程度的增加,煤的质量曲线和失重速率曲线向高温区移动,着火温度逐渐增长,自燃能力减弱。Pearson相关系数法的计算结果表明,比表面积、2~10 nm、10~20 nm和>50 nm孔径占比与着火温度的相关系数分别为-0.853、-0.895、-0.910和0.921。煤中的大孔含量越低、介孔含量越高,煤的比表面积越大,与氧气接触更加便捷,着火温度越低,煤自燃能力越强。基于相关系数法的结果,建立了煤孔隙结构与着火温度的多元线性回归模型,得到预测值与真实值的相关系数R2为0.853,拟合度较高,该模型可用于预测煤的着火温度。
In order to explore the correlation between the pore structure parameters in coal and the spontaneous combustion ignition temperature of coal,the pore structure and pore size distribution of four kinds of coal samples with different metamorphic degrees were tested by liquid nitrogen adsorption tests.The spontaneous combustion ignition temperature and ignition ability of coal were obtained by thermogravimetric test.The correlation between the ignition temperature of coal and the key parameters of pore structure was calculated by Pearson correlation coefficient method.The results show that with the increase of coal metamorphism,the adsorption capacity,specific surface area and pore volume of coal pores decrease first and then increase,the proportion of mesopores decreases gradually,and the proportion of macropores increases gradually.With the increase of coal metamorphism,the mass curve and weight loss rate curve of coal move to the high temperature zone,the ignition temperature gradually increases,and the spontaneous combustion ability decreases.The calculation results of Pearson correlation coefficient method show that the correlation coefficients between specific surface area,2-10 nm,10-20 nm and>50 nm pore size ratio with ignition temperature are-0.853,-0.895,-0.910 and 0.921,respectively.The lower the content of macropores in coal,the higher the content of mesopores,the larger the specific surface area of coal,the more convenient the contact with oxygen,the lower the ignition temperature,and the stronger the spontaneous combustion ability of coal.Based on the results of the correlation coefficient method,a multiple linear regression model of coal pore structure and ignition temperature has been established.The correlation coefficient R~2 between the predicted value and the real value is 0.853,and the fitting degree is high.The model can be used to predict the ignition temperature of coal.
作者
田坤
赵炬
吕兆海
TIAN Kun;ZHAO Ju;LYU Zhaohai(Shaanxi Energy Institute,Xianyang,Shaanxi 712000,China;CHN Energy Investment Group Co.,Ltd,Beijing 100010,China)
出处
《矿业研究与开发》
CAS
北大核心
2024年第5期106-113,共8页
Mining Research and Development
基金
陕西省教育厅一般专项科研计划资助项目(22JK0324)
陕西能源职业技术学院青年专项资助项目(2021QN02)。
关键词
煤自燃
孔隙结构
着火温度
自燃能力
Pearson相关系数法
多元线性回归模型
Coal spontaneous combustion
Pore structure
Ignition temperature
Pearson correlation coefficient method
Multivariate linear regression model
