Inter Gases as one of the Ways to Reduce the risk of Rndogenous Fires in Hard Coal Mines
Endogenous fires are currently one of the most common threats in hard coal mines. They are very dangerous for the staff and can cause very large economical loses. Therefore, the scope of activities aimed at limiting the possibility of these fires and reduction of their consequences constantly broadens. The paper presents the results of research aimed at determining the efficiency of the ventilation system applied to reduce the risk of endogenous fires in the areas where inert gases are used. The calculations included carbon dioxide and nitrogen. Inertisation is one of the ways of combating endogenous fires. This method is included in the developed comprehensive method to reduce the possibility of these fires. The results obtained and the method developed and later applied, should have a significant impact on improving the safety of operations in the scope of occurrence and consequences of endogenous fires. (original abstract)
- Brodny, J. & Tutak, M. (2016). Determination of the zone endangered by methane explosion in goaf with caving of operating longwalls. 16th International Multidisciplinary Scientific SGEM Conference Proceedings, 1(2), pp. 299-306. DOI:10.5593/SGEM2016/B12/S03.039.
- Brodny, J. & Tutak, M. (2018a). Determination of the Zone with a Particularly High Risk of Endogenous Fires in the Goaves of a Longwall with Caving. Journal of Applied Fluid Mechanics, 1(3), pp. 545-553. DOI:10.18869/acadpub.jafm.73.246.27240.
- Brodny, J. & Tutak, M. (2018b). Analysis of Methane Hazard Conditions in Mine Headings. Published on HRČAK: Tehnički vjesnik - Technical Gazette, 25(1), pp. 271-276. https://doi.org/10.17559/TV-20160322194812.
- Felka, D. & Brodny, J. (2017). Application of neural-fuzzy system in prediction of methane hazard. Poland Springer International Publishing AG, Intelligent Systems in Production Engineering and Maintenance ISPEM, Advances in Intelligent Systems and Computing 637, pp.151-160. DOI:10.1007/978-3-319-64465-3_15.
- Raport 2017 Górnictwo Węgla Kamiennego w Polsce. Kraków 2018.
- Szurgacz, D. Sobik, L. & Brodny, J. (2019). Ventilation systems in longwall workings with powered longwall complex. Geolinks International Conferenceon Geosciences. Conference proceedings, 1(1). pp. 201-209.
- Tutak, M. (2017). Analysis of varying levels of methane emissions from coal mines in Poland. SGEM Vienna GREEN Conference Proceedings, 17(43), 301-308 pp; DOI:10.5593/sgem2017H/43/S19.038.
- Tutak, M. (2017). Assessment of hydrodynamics of gas flow through the porous rock structures. SGEM Vienna GREEN Conference Proceedings, 17(15), pp. 53-60. DOI:10.5593/sgem2017H/15/S06.007.
- Tutak. M, & Brodny, J. (2017a). Analysis of Influence of Goaf Sealing from Tailgate On the Methane Concentration at the Outlet from the Longwall. IOP Conf. Series: Earth and Environmental Science 95 042025 DOI:10.1088/1755 1315/95/4/042025.
- Tutak. M, & Brodny, J. (2017b). Influence of auxiliary ventilation devices on a distribution of methane concentration at the crossing of longwall andventilation roadway. SGEM, 17(13), pp. 437-444. DOI: doi.org/10.5593/sgem2017/13.
- Tutak. M, & Brodny, J. (2017c). Determination of Particular Endogenous Fires Hazard Zones in Goaf with Caving of Longwall. IOP Conference Series: Earth and Environmental Science 95(4). DOI:10.1088/1755-1315/95/4/042026.
- Tutak. M, & Brodny, J. (2018a). Impact of type of the roof rocks on location and range of endogenous fires particular hazard zone by in goaf with caving. E3S.
- Tutak. M, & Brodny, J. (2018b). Analysis of the Impact of Auxiliary Ventilation Equipment on the Distribution and Concentration of Methane in the Tailgate. Energies, 11(11), 3076, pp. 1-28. https://doi.org/10.3390/en11113076.
- Tutak. M, & Brodny, J. (2019). Predicting Methane Concentration in Longwall Regions Using Artificial Neural Networks. Inernational Journal Environmental Research Public Health 16, 1406; pp. 1-22. DOI:10.3390/ijerph16081406.
- Wang Z., Ren T., Ma L., Zhang J.: Investigations of Ventilation Airflow Characteristics on a Longwall Face - A Computational Approach. Energies 201,11,1564. DOI:10.3390/en1106564, www.mpdi.com/journal/energies, pp. 1-25.
- Web Conferences, 29, pp. E3S Web of Conferences eISSN: 2267-1242 Copyright Published by: EDP Sciences; https://doi.org/10.1051/e3sconf/20182900005.