Applying model studies to support the monitoring of methane hazard during theprocess of underground coal mining

• Autorzy: Tutak Magdalena , Brodny Jarosław , Małkowski Piotr , Grebski Wes

Identyfikatory

DOI

10.30657/pea.2023.29.37

• Języki publikacji: EN

Abstrakty

EN

The process of underground mining is one of the most complex and hazardous activities. In order to maintain the continuity and efficiency of this process, it is necessary to take measures to reduce this hazard. The paper addresses this issue by presenting a developed methodology for using model studies and numerical simulations to support the process of monitoring methane hazards. Its basis is the developed model of the region of underground mining exploitation along with the ventilation phenomena occurring in it. To develop it, the ANSYS Fluent program was used, based on the finite volume method classified as computational fluid mechanics. The model reflects both the geometries and physical and chemical phenomena occurring in the studied area, as well as the auxiliary ventilation equipment used during operation. The research was conducted for two variants of methane emissions from goaf zones, the first of which concerned the actual state of the mining area, and the second of which concerned increased methane emissions from these goaf zones. The purpose of the study was to determine the distribution of methane concentrations in the most dangerous part of the studied area, which is the intersection of the longwall and the tailgate, as well as the distribution of ventilation air flow velocities affecting them. The studies for both variants made it possible to determine places particularly exposed to the occurrence of dangerous concentrations of methane in this region. The methodology developed represent a new approach to studying the impact of methane emissions from goaf zones into mine workings.

Słowa kluczowe

EN

underground mining operations; methane hazard; numerical simulations; model studies; CFD [Computational Fluid Dynamics]; ANSYS Fluent

PL

górnictwo podziemne; zagrożenie metanowe; symulacje numeryczne; dynamika płynów; program ANSYS FLUENT

• Wydawca: Oficyna Wydawnicza Stowarzyszenia Menedżerów Jakości i Produkcji
• Czasopismo: Production Engineering Archives
• Rocznik: 2023
• Tom: Vol. 29, Iss. 3
• Strony: 319--327
• Opis fizyczny: Bibliogr. 28 poz., rys., tab.

Twórcy

autor

Tutak Magdalena

• Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland

autor

Brodny Jarosław

• Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland

autor

Małkowski Piotr

• AGH University of Science and Technology, Aleja Adama Mickiewicza 30, 30-059 Kraków, Poland

autor

Grebski Wes

• Pennsylvania State University Professor Emeritus76 University Drive Hazleton, PA 18202, USA

Bibliografia

• 1. Brodny J., Tutak M., 2015. Numerical analysis of airflow and methane emitted from the mine face in a blind dog heading. Management Systems in Production Engineering, 2(18), 110-118.
• 2. Cheng J., Li S., Zhang F., Zhao C., Yang S., Ghosh A., 2016. CFD modelling of ventilation optimization for improving mine safety in longwall working faces. Journal of Loss Prevention in the Process Industries, 40, 285-297.
• 3. Donnelly L., 2018. Mining Hazards. Encyclopedia of Engineering Geology, 649-656.
• 4. Hasheminasab F., Bagherpour R., Aminossadati S.M., 2019. Numerical simulation of methane distribution in development zones of underground coal mines equipped with auxiliary ventilation. Tunnelling and Underground Space Technology, 89, 68-77.
• 5. Janjuhah H.T., Ishfaque M., Mehmood M.I., Kontakiotis G., Shahzad S.M., Zarkogiannis S.D., 2021. Integrated Underground Mining Hazard Assessment, Management, Environmental Monitoring, and Policy Control in Pakistan. Sustainability, 13, 13505.
• 6. Juganda A., Pinheiro H., Wilson F., Sandoval N., Bogin G.E., Brune J.F., 2022. Investigation of Explosion Hazard in Longwall Coal Mines by Combining CFD with a 1/40th-Scale Physical Model. Mining, Metallurgy and Exploration, 39, 2273-2290.
• 7. Kumar P., Mishra D.P., Panigrahi D.C., Sahu P., 2017. Numerical studies of ventilation effect on methane layering 696 behaviour in underground coal mines. Current science, 112, 1873-1881.
• 8. Kurnia J.C., Sasmito A.P., Majumdar A.S.2014. CFD simulation of methane dispersion and innovative methane management in under-ground mining faces. Applied Mathematical Modelling, 38, 3467-3484.
• 9. Li L., Qin B.T., Liu J.S., Leong Y.K., 2020. Integrated experimentation and modeling of the formation processes underlying coal combustion-triggered methane explosions in a mined-out area. Energy, 203, 11785.
• 10. Liu Y., Wen H., Guo J., Jin Y., We G., Yang Z., 2020. Coal spontaneous combustion and N2 suppression in triple goafs: A numerical simulation and experimental study. Fuel, 271, 117625.
• 11. Lolon S.A., Brune J.F., Bogi G.E., Juganda A. (2020). Study of Methane Outgassing and Mitigation in Longwall Coal Mines. Mining, Metallurgy & Exploration, 37, 1437-1449.
• 12. Ma J., 2020. Constraints of coal mining safety management efficiency. Work, 65(4), 869-880.
• 13. Midor K., 2017. Innovation in coal mining management as an intelligent specialization. Production Engineering Archives 15, 41-44.
• 14. Mishra R., Bahuguna P., Singh V., 2011. Detection of coal mine fire in Jharia coal field using landsat-7 ETM+data. International Journal of Coal Geology, 86, 73-8.
• 15. Mishra D.P.; Kumar P.; Panigrahi D.C., 2016. Dispersion of methane in taigate of a retreating longwall mine: A computational fluid dynamics study. Environmental Earth Sciences, 75, 475
• 16. Mishra D.P., Panigrahi D.C., Kumar P., 2018. Computational investigation on effects of geomining parameters on layering and dispersion of methane in underground coal mines- A case study of Moonidih Colliery. Journal of Natural Gas Science and Engineering, 53, 110-124.
• 17. Oberholzer D.R.J.W., Meyer C.F. 1995. The evaluation of heading ventilation systems through the use of computer simulations. In Proceedings of the 7th US Mine Ventilation Symposium, Lexington, KY, USA, 5-7 June 1995.
• 18. Palka D., Brodny J., Tutak M., Nitoi D., 2022. The role, importance and impact of the methane hazard on the safety and efficiency of mining production. Production Engineering Archives, 28(4), 390-397.
• 19. Rao S. , Mishra D.P., Mishra A., 2023. Methane migration and explosive fringe localisation in retreating longwall panel under varied ventilation scenarios: a numerical simulation approach. Environmental Science and Pollution Research, 30(25), 66705-66729.
• 20. Shi L., Wang J., Zhang G., Cheng X., Zhao X., 2017. A risk assessment method to quantitatively investigate the methane explosion in underground coal mine. Process Safety and Environmental Protection, 107, 317-333.
• 21. Škvareková E., Tomašková M., Sabadka D., Šofranko M., Zelenák S., 2021. Evaluation and Risk Factors of Roadheaders in Coal Mines. Management Systems in Production Engineering, 29, 242-250.
• 22. Song Z., Zhu H., Tan B., Wang H., Qin X., 2014. Numerical study on effects of air leakages from abandoned galleries on hill-side coal fires. Fire Safety Journal, 69, 99-110.
• 23. Tutak M., Brodny J., 2017. Analysis of Influence of Goaf Sealing from Tailgate On the Methane Concentration at the Outlet from the Longwall. IOP Conference Series: Earth and Environmental Science, 95, 42025.
• 24. Tutak M., Brodny J., 2018. Analysis of the Impact of Auxiliary Ventilation Equipment on the Distribution and Concentration of Methane in the Tailgate. Energies, 11, 3076.
• 25. Wang J., Zhou B., An B., Tang Y., 2018. Application of “Trinity” prediction of spontaneous combustion area in goaf of Huangbaici Mine. Journal of the China Coal Society, 43, 178-84.
• 26. Wang,G.Q., Shi G.Q., Wang Y.M., Shen H.Y., 2021. Numerical study on the evolution of methane explosion regions in the process of coal mine fire zone sealing. Fuel, 289, 119744.
• 27. Zhou L., Pritchard C., Zheng Y., 2015. CFD modeling of methane distribution at a continuous miner face with various curtain setback distances. International Journal of Mining Science and Technology 25, 635-640.
• 28. Zhou X., Jing Z., Li Y., 2023. Research on controlling gas overrun in a working face based on gob-side entry retaining by utilizing ventilation type “Y”. Scientific Reports, 13, 9199

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).