| Issue |
E3S Web Conf.
Volume 21, 2017
IInd International Innovative Mining Symposium (Devoted to Russian Federation Year of Environment)
|
|
|---|---|---|
| Article Number | 01028 | |
| Number of page(s) | 6 | |
| Section | Environment Saving Mining Technologies | |
| DOI | https://doi.org/10.1051/e3sconf/20172101028 | |
| Published online | 10 November 2017 | |
Numerical Simulation of Aerogasdynamics Processes in A Longwall Panel for Estimation of Spontaneous Combustion Hazards
1 JSC SUEK Kuzbass, 652507, 1, Vasilyev St., Leninsk-Kuznetsky, Russia
2 Saint Petersburg Mining University, 199106, 21 line, 2, Saint Petersburg
* Corresponding author: sidorenkoaa@mail.ru
The relevance of a solution of the problem of endogenous fire safety in seams liable to self-ignition is shown. The possibilities of numerical methods of researches of gasdynamic processes are considered. The analysis of methodical approaches with the purpose to create models and carry out numerical researches of aerogasdynamic processes in longwall panels of gas mines is made. Parameters of the gob for longwall mining are considered. The significant influence of geological and mining conditions of conducting mining operations on distribution of air streams on longwall panels and effective management of gas emission is shown. The aerogasdynamic model of longwall panels for further research of influence of parameters of ventilation and properties of gob is presented. The results of numerical researches including distribution of air streams, fields of concentration of methane and oxygen at application of various schemes of airing for conditions of perspective mines of the Pechora basin and Kuzbass are given. Recommendations for increase of efficiency of the coal seams mining liable to selfignition are made. The directions of further researches are defined.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.