山东煤炭科技2025，Vol.43Issue(2)：54-58,5.DOI:10.3969/j.issn.1005-2801.2025.02.011
煤自燃气体产物特性和预测实验研究
Study on Gas Products Characteristics and Prediction Experiment of Coal Spontaneous Combustion
张超 1崔飞 1贺小良1
作者信息
- 1. 山西煤炭进出口集团左云东古城煤业有限公司,山西 大同 037100
- 折叠
摘要
Abstract
Aiming at the problem of prediction and forecasting of coal spontaneous combustion in Donggucheng Coal Mine,gas products and their characteristic laws during the spontaneous combustion of Donggucheng lignite are obtained through coal spontaneous combustion programmed temperature rise experiments under different oxygen concentrations.According to the experimental results,indicator gases and parameters of coal spontaneous combustion prediction and forecasting are proposed.The results show that when the oxygen concentration is constant,with the increase of temperature,the CO concentration basically exhibits exponential function increasing before 200℃,and the concentrations of CO2 and CH4 exhibit exponential function increasing as a whole.The concentration of C2H4 gas first increases rapidly,then slowly increases,and then rapidly increases again.The ratio change situations of the CO/CO2 and C2H4/CH4 are similar,both increasing first and then decreasing,with the inflection points of the curves corresponding to temperatures around 180℃.According to the experimental results,CO and C2H4 are selected as the single indicator gases for predicting the spontaneous combustion of lignite in Donggucheng Coal Mine.The CO early warning concentration is set to(30-70)×10-6,and the C2H4 early warning concentration is set to(1-1.6)×10-6.At the same time,the CO/CO2 ratio and the C2H4/CH4 ratio are used as auxiliary indicators for judging coal temperature.The research results can provide a certain basis for predicting and forecasting coal spontaneous combustion in Donggucheng Coal Mine.关键词
煤自燃/程序升温/指标气体/辅助指标/预警浓度Key words
coal spontaneous combustion/programmed temperature rise/indicator gas/auxiliary indicator/early warning concentration分类
矿业与冶金引用本文复制引用
张超,崔飞,贺小良..煤自燃气体产物特性和预测实验研究[J].山东煤炭科技,2025,43(2):54-58,5.
