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

WU Fusheng

doi:10.13272/j.issn.1671-251x.17341

Volume 44 Issue 7

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WU Fusheng. Experimental study on composite gas indexes optimization for coal spontaneous combustion predictio[J]. Industry and Mine Automation, 2018, 44(7): 61-65. doi: 10.13272/j.issn.1671-251x.17341

Citation:

WU Fusheng. Experimental study on composite gas indexes optimization for coal spontaneous combustion predictio[J]. Industry and Mine Automation, 2018, 44(7): 61-65. doi: 10.13272/j.issn.1671-251x.17341

Citation:

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

doi: 10.13272/j.issn.1671-251x.17341

WU Fusheng^{1, 2}

1.
CCTEG Changzhou Research Institute, Changzhou 213015, China
2.
Tiandi(Changzhou) Automation Co., Ltd., Changzhou 213015, China

Publish Date: 2018-07-10

Abstract

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%.
- coal spontaneous combustion,
- composite gas indexes,
- temperature-programmed experiment,
- dry air flow,
- oxygen concentratio