预测煤自燃的复合气体指标优选实验研究

Experimental study on composite gas indexes optimization for coal spontaneous combustion prediction

通过煤程序升温氧化实验对比分析了不同干空气流量、氧气浓度下复合气体指标的变化规律,实验结果表明:在不能确定干空气流量的情况下,应选取φ(O_2)/(φ(CO)+φ(CO_2))作为预测煤自燃的气体指标;煤温在100℃以下时,φ(O_2)/(φ(CO)+φ(CO_2))可作为预测煤自燃的气体指标;煤温超过100℃时,φ(C_2H_4)/φ(CH4)和φ(CO)/φ(CO_2)可作为预测煤自燃的气体指标;煤温超过160℃且氧气体积分数为5%左右时,φ(C_2H_4)/φ(CO)也可作为预测煤自燃的气体指标。

Changing rule of composite gas indexes under different dry air flow and oxygen concentration was analyzed through coal temperature-programmed experiment.The experimental results show thatφ（O2）/（φ（CO）＋φ（CO2））should be selected as gas indexes for coal spontaneous combustion prediction in the case of uncertain dry air flow.φ（O2）/（φ（CO）＋φ（CO2））can be used as gas indexes for coal spontaneous combustion prediction when coal temperature is below 100°C.φ（C2H4）/φ（CH4）andφ（CO）/φ（CO2）can be used as gas indexes for coal spontaneous combustion prediction when coal temperature exceeds 100°C.φ（C2H4）/φ（CO）can also be used as gas indexes for coal spontaneous combustion when coal temperature exceeds 160°C and oxygen volume fraction is approximately 5%.