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Forecasting the distribution of methane concentration levels in mine headings by means of model-based tests and in-situ measurements

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The methane hazard is one of the most dangerous phenomena in hard coal mining. In a certain range of concentrations, methane is flammable and explosive. Therefore, in order to maintain the continuity of the production process and the safety of work for the crew, various measures are taken to prevent these concentration levels from being exceeded. A significant role in this process is played by the forecasting of methane concentrations in mine headings. This very problem has been the focus of the present article. Based on discrete measurements of methane concentration in mine headings and ventilation parameters, the distribution of methane concentration levels in these headings was forecasted. This process was performed on the basis of model-based tests using the Computational Fluid Dynamics (CFD). The methodology adopted was used to develop a structural model of the region under analysis, for which boundary conditions were adopted on the basis of the measurements results in real-world conditions. The analyses conducted helped to specify the distributions of methane concentrations in the region at hand and determine the anticipated future values of these concentrations. The results obtained from model-based tests were compared with the results of the measurements in real-world conditions. The methodology using the CFD and the results of the tests offer extensive possibilities of their application for effective diagnosis and forecasting of the methane hazard in mine headings.
Rocznik
Strony
25--39
Opis fizyczny
Bibliogr. 16 poz., rys., tab., wykr., wzory
Twórcy
  • Institute of Production Engineering, Faculty of Organizationand Management, Silesian University of Technology, Roosevelta str. 26, 41-800 Zabrze, Poland
  • Department of Safety Engineering, Faculty of Mining and Geology, Silesian Universityof Technology, Akademicka str. 2, 44-100 Gliwice, Poland
Bibliografia
  • [1] J. Brodny and M. Tutak: Determination of the zone endangered by methane explosion in goaf with caving of operating longwalls, SGEM (2016), 299–306. DOI:10.5593/SGEM2016/B12/S03.039.
  • [2] J. Brodny and M. Tutak: Analysis of methane hazard conditions in mine headings, Tehnički vjesnik/Technical Gazette, 25(1) (2018), 271–276.
  • [3] W. Dziurzyński, T. Pałka, A. Krach, and S. Wasielewski: Development of systems supporting the simulations of ventilation conditions in the longwall region, taking into account the sensors in the gas monitoring systems, Prace Instytutu Mechaniki Górotworu PAN, 17(1–2) (2015), 3–19 [in Polish].
  • [4] D. Felka and J. Brodny: Application of neural-fuzzy system in prediction of methane hazard. Intelligent systems in production engineering and maintenance, Proceedings of the First International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017, Advances in Intelligent Systems and Computing, 637 (2018), 151–160.
  • [5] E. Krause E. and K. Łukowicz: Dynamic forecast of absolute methane content of longwalls. Instruction No. 14, GIG, Katowice (2000) [in Polish].
  • [6] E. Krause, P. Krzystolik, and K. Łukowicz: Recognition, forecasting, control and combating methane hazard in hard coal mines, GIG, Katowice (2001) [in Polish].
  • [7] J. C. Kurnia, A. P. Sasmito, and A. S. Majumdar: CFD simulation of methane dispersion and innovative methane management in underground mining faces, Applied Mathematical Modelling, 38 (2014), 3467–3484.
  • [8] D. P. Mishra, P. Kumar, and D. C. Panigrahi: Dispersion of methane in tailgate of a retreating longwall mine: a computational fluid dynamics study, Environmental Earth Sciences, 75(6) (2016), 1–10.
  • [9] D. P. Mishra, D. C. Panigrahi, and P. Kumar: Computational investigation on effects of geo-mining parameters on layering and dispersion of methane in underground coal mines – A case study ofMoonidih Colliery, Journal of Natural Gas Science and Engineering, 53 (2018), 110–124.
  • [10] T. Petrila and D. Trif: Basics of fluid mechanics and introduction to computational fluid dynamics, Springer, Boston (2005).
  • [11] R. Szostak: Generalized Holt’s model exemplified by the forecast on the number of air travellers in Poland, Ekonometria, 2 (2012), 16–26 [in Polish].
  • [12] K. K. Veersteg and W. Malalasekera: An Introduction to Computational Fluid Dynamics. The Finite Volumne Method, Pearson Education (2007).
  • [13] S. N. Xiu, N. N. Wang, W. M. Yi, M. M. Li, and G. Shahbazi: Validation of Kinetic Parameter Values for Prediction of Pyrolysis Behaviour of Corn Stalks in a Horizontal Entrained-flow Reactor, Biosystems Engineering, 100 (2008), 79–85.
  • [14] G. Xu, K. D. Luxbacher, S. Ragab, J. Xu, and X. Ding: Computational fluid dynamics applied to mining engineering: a review, International Journal of Mining, Reclamation and Environment, 31(4) (2017), 251–275.
  • [15] Z. Wang, T. Ren, and Y. Cheng: Numerical investigations of methane flow characteristics on a longwall face Part I: Methane emission and base model results, Journal of Natural Gas Science and Engineering, 43 (2017), 242–253.
  • [16] Z. Wang, T. Ren, and Y. Cheng: Numerical investigations of methane flow characteristics on a longwall face Part II: Parametric studies, Journal of Natural Gas Science and Engineering, 43 (2017), 254–267.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-43a7fd30-6bfe-419a-b8ac-024dbd9149a1
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