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 predictio

摘要: 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(O2)/(φ(CO)+φ(CO2))作为预测煤自燃的气体指标；煤温在100 ℃以下时，φ(O2)/(φ(CO)+φ(CO2))可作为预测煤自燃的气体指标；煤温超过100 ℃时，φ(C2H4)/φ(CH4)和φ(CO)/φ(CO2)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(C2H4)/φ(CO) 也可作为预测煤自燃的气体指标。

Abstract: 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 that φ(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) and φ(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%.