摘要
为研究不同煤体的煤温与自燃指标性气体量、预测指标气体最大产出量、指标气体变化速率之间的定量关系,对4种不同煤体进行FTIR傅立叶红外光谱分析、煤质分析和煤自燃程序升温实验,对不同煤体的指标气体曲线拟合方程和曲线模型导数方程进行分析。结果表明:在R-square可决系数最优的条件下,选取高拟合优度非线性拟合方程模型,煤温与自燃指标性气体的对应关系较好;根据指标气体的变化速率差倍数,在第一阶段(30℃~140℃)选取CO2作为预测气体,第二阶段(140℃~200℃)选取CH 4作为预测气体,第三阶段预测期(200℃~270℃)选取CO作为预测气体,可依据指标性气体浓度准确预测煤自燃的危险程度。
In order to study the quantitative relationship among the coal temperature of different coal bodies and the index gas quantity in the spontaneous combustion,the maximum output of the index gas and the change rate of the index gas,FTIR analysis,coal quality analysis and coal spontaneous combustion temperature programmed experiments were carried out for four different coal bodies.The curve fitting equation and derivative equation of each index gas of different coal bodies were put forward and analyzed.The results show that under the condition of the best R-square determinable coefficient,the non-linear fitting equation model with high goodness of fit is selected,and the corresponding relationship between coal temperature and index gas of spontaneous combustion is significant.According to the multiple of change rate of the index gas,CO2 is selected as the first stage prediction gas in the first stage(30℃~140℃),and CH4 is selected as the second stage prediction gas in the second stage(140℃~200℃),In the third prediction period(200℃~270℃),CO is selected as the third prediction gas.According to the concentration of index gas,the risk degree of the coal spontaneous combustion can be accurately predicted,and the coal temperature can also be predicted.
作者
文虎
赵向涛
王伟峰
王刘兵
田晴
和健
WEN Hu;ZHAO Xiangtao;WANG Weifeng;WANG Liubing;TIAN Qing;HE Jian(School of Safety Science and Engineering,Xi’an University of Science and Technology,710054 Xi’an,China;State Grid Shaanxi Province Power Company Maintenance Company,710054 Xi’an,China)
出处
《煤炭转化》
CAS
CSCD
北大核心
2020年第1期16-25,共10页
Coal Conversion
基金
陕西省重点研发计划项目(2017ZDCXL-GY-01-02-03)
关键词
煤自燃
指标气体
曲线拟合
模型方程
导数分析
coal spontaneous combustion
indicator gas
curve fitting model equation
derivative analysis of model equation
