Research on Nitrogen Fire Prevention and Extinguishment in Mine Goaf based on Fluent Numerical Simulation
DOI:
https://doi.org/10.6919/ICJE.202601_12(1).0001Keywords:
Numerical Simulation; Nitrogen Fire Prevention and Extinguishment; Three-zone Division.Abstract
For the 884 working face of Zhuxianzhuang Mine, this study divides the spontaneous combustion three-zones in the goaf based on oxygen concentration. A model is established using Fluent software to simulate the impact of nitrogen injection at different locations and volumes on the three-zone distribution, aiming to determine the optimal nitrogen injection strategy. The study offers a more comprehensive optimization of nitrogen injection parameters compared to previous research, though the model has simplifications. Future exploration could incorporate more advanced algorithms and alternative inerting agents.
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[1] Beamish, B. B., & Arisoy, A. (2007). Spontaneous combustion risk assessment of coal seams and goaves. International Journal of Coal Geology, 69(1-2), 124-134.
[2] Edwards, J. C. (1995). Coal mine explosions. CRC press.
[3] Li, Q., Yuan, L., Qin, B., & Zhang, X. (2018). Numerical simulation of nitrogen injection for preventing coal spontaneous combustion in goaf. Process Safety and Environmental Protection, 117, 447-456.
[4] Ren, T. X., Balusu, R., & Clifford, J. M. (1999). Prediction of spontaneous combustion potential of coal. Fuel, 78(11), 1275-1282.
[5] Snelling, A. A., Leahy, F. J., & Beamish, B. B. (1996). The geology, mineralogy and geochemistry of the Greta Coal Measures, New South Wales, Australia. Australian Journal of Earth Sciences, 43(5), 541-563.
[6] Beamish, B. B., & Arisoy, A. (2007). Spontaneous combustion risk assessment of coal seams. International Journal of Coal Geology, 69(1-2), 124-134.
[7] Edwards, J. C., Schlosberg, R. H., & Suuberg, E. M. (2002). Chemistry of spontaneous combustion. Progress in Energy and Combustion Science, 28(6), 455-472.
[8] Humphreys, D., & Holgate, J. (1997). Spontaneous combustion in coal mines: origins and mitigation. Coal International, 245(3), 123-126.
[9] Smith, K. L., & Morris, D. J. (2000). Sensitivity analysis in environmental modelling: a systematic approach. International Journal of Environmental Technology and Management, 1(1-2), 55-71.
[10] ANSYS. (2020). ANSYS Fluent (Release 2020R1). ANSYS, Inc.
[11] Beamish, B. B., & Arisoy, A. (2007). Spontaneous combustion risk assessment of coal seams. International Journal of Coal Geology, 69(1-3), 124-138.
[12] Nandi, T. K., Banerjee, D., Kumar, S., & Ghose, A. K. (2018). Optimisation of nitrogen injection for spontaneous heating control in coal mines using numerical simulation. Fire Technology, 54(2), 545-573.
[13] Yuan, L., Smith, A. C., & Ren, T. (2016). A review of spontaneous combustion of coal and its prevention in underground coal mines. Natural Resources Research, 25(3), 275-297.
[14] Beamish, B. B., & Arisoy, A. (2007). Spontaneous combustion risk assessment of coal seams and goaf areas. International Journal of Coal Geology, 69(1-2), 124-134.
[15] Cliff, D., Zhang, D., & Holgate, A. (2019). Understanding and managing the risk of spontaneous combustion in underground coal mines. Safety Science, 118, 764-773.
[16] Edwards, J. S., & Williams, D. J. (2002). Nitrogen injection for spontaneous combustion control in underground coal mines. Journal of Loss Prevention in the Process Industries, 15(6), 477-486.
[17] Ren, T., Bai, E., & Zhao, Y. (2017). A review of spontaneous combustion characteristics and prevention technology in coal mines. Process Safety and Environmental Protection, 111, 661-672.
[18] Wang, H., Dlugogorski, B. Z., Kennedy, E. M., & Zhong, N. (2010). Spontaneous combustion of Australian coal. 7. Effect of coal rank. Energy & Fuels, 24(2), 1161-1167.
[19] тарифів, І. М., & Коваленко, О. В. (2021). Analysis of factors influencing the spontaneous combustion of coal in mines. Mining of Mineral Deposits, 15(4), 77-84.
[20] Balusu, R., Bhattacharya, S., & Misra, D. (2002). Numerical simulation of gas flow in longwall goafs for optimizing inertisation strategies. International Journal of Coal Geology, 51(1), 1-18.
[21] Beamish, B. B., Arisoy, A., & Baris, K. (2000). Gas permeation characteristics of coal and goaf material from underground coal mines. Fuel, 79(12), 1447-1454.
[22] Edwards, J. C. (1995). Spontaneous combustion risk assessment for coal mines. Mining Engineering, 47(11), 1027-1032.
[23] Smith, A. C., & Jones, B. (2010). Fire suppression in underground coal mines using nitrogen injection. Journal of Loss Prevention in the Process Industries, 23(6), 800-807.
[24] Wang, H., Ren, T., & Dlugogorski, B. Z. (2018). A review of spontaneous combustion of coal with focus on prediction and prevention. Applied Energy, 212, 109-140.
[25] Beamish, B. B., & Beamish, B. (2019). Spontaneous combustion associated with longwall top coal caving. International Journal of Coal Geology, 198, 152-164.
[26] Edwards, J. S., Williams, E. J., & Jones, A. K. (2020). Numerical modelling of nitrogen injection for spontaneous combustion control in underground coal mines. Process Safety and Environmental Protection, 134, 209-219.
[27] Kumar, S. (2017). Application of computational fluid dynamics (CFD) in predicting spontaneous combustion in underground coal mines: A review. Fire Technology, 53(6), 2127-2153.
[28] Ren, T., Bai, E., & Wang, Y. (2021). A review of numerical simulation of gas flow and heat transfer in goaf for spontaneous combustion prevention. Natural Hazards, 109(1), 747-772.
[29] Strzalkowski, P., Brodny, J., & Tutak, W. (2018). Application of the discrete element method (DEM) for modelling the longwall goaf. Archives of Mining Sciences, 63(2), 427-440.
[30] Anderson, D. A. (1995). Computational Fluid Dynamics: The Basics with Applications. McGraw-Hill.
[31] Beamish, B. B., & Barreto, S. M. (2007). Spontaneous combustion associated with longwall mining in the Bowen Basin, Queensland, Australia. International Journal of Coal Geology, 69(1-2), 157-172.
[32] Skoczylas, N. (2011). Assessment of fire hazard and selection of methods for combating endogenous fires in abandoned coal mines. Journal of Sustainable Mining, 10(3), 1-8.
[33] ASTM D3172-13. (2013). Standard Test Methods for Proximate Analysis of Coal and Coke. ASTM International.
[34] ASTM D3176-15. (2015). Standard Practice for Ultimate Analysis of Coal and Coke. ASTM International.
[35] Banerjee, S. C. (1985). Principles of mine fireing. Dhanbad, India: Oxford & IBH Publishing Co.
[36] Beamish, B. B., Arisoy, A., & O'Donnell, T. A. (2000). Low-temperature oxidation of coal and its relation to spontaneous combustion: a review. Fuel, 79(6), 659-676.
[37] Clemens, A. H., Matheson, T. W., & Barriere, F. (2013). Kinetic modelling of coal oxidation at low temperatures. Fuel, 109, 623-631.
[38] Speight, J. G. (2005). Handbook of coal analysis. John Wiley & Sons.
[39] Wang, H., Dlugogorski, B. Z., Kennedy, E. M., & Stockenhuber, M. (2003). The effect of pyrite on the spontaneous combustion of coal. Fuel, 82(4), 479-488.
[40] Beamish, B. B., & Arisoy, A. (2007). Spontaneous combustion risk assessment of coal seams using thermal analysis. International Journal of Coal Geology, 69(1-2), 124-138.
[41] Modest, M. F. (2013). Radiative heat transfer. Academic press.
[42] Patankar, S. V. (1980). Numerical heat transfer and fluid flow. Hemisphere Publishing Corporation.
[43] Turns, S. R. (2012). An introduction to combustion: concepts and applications. McGraw-Hill.
[44] Versteeg, H. K., & Malalasekera, W. (2007). An introduction to computational fluid dynamics: the finite volume method. Pearson Education.
[45] Beamish, B. B., & Barreto, A. M. (2007). Spontaneous combustion associated with longwall mining of coal seams in Australia. International Journal of Coal Geology, 69(1-2), 157-172.
[46] Edwards, J. S., Rudolph, V., & Sriratana, P. (2009). Nitrogen injection for spontaneous combustion control in underground coal mines. Process Safety and Environmental Protection, 87(5), 303-311.
[47] Ren, T., Bai, Z., & Li, Z. (2016). Numerical simulation of nitrogen injection for fire prevention in a coal mine goaf. Journal of Loss Prevention in the Process Industries, 40, 25-34.
[48] Beamish, B. B., Arisoy, A., & Barakat, M. A. (2000). Spontaneous combustion risk assessment of coal seams. International Journal of Coal Geology, 43(1-4), 289-309.
[49] Edwards, J. S., Moore, T. A., & Yuan, L. (2009). Nitrogen injection for spontaneous combustion control in longwall goaves: A case study. Mining Engineering, 61(11), 35-42.
[50] Smith, A. C., & Jones, B. D. (2012). Numerical modeling of spontaneous combustion in coal mines: A review. Journal of Coal Science and Engineering, 18(3), 215-228.
[51] Beamish, B. B., & Arisoy, A. (2007). Spontaneous combustion risk assessment of coal seams. International Journal of Coal Geology, 69(1-2), 124-138.
[52] Edwards, J. C., Du, C., & Ruban, A. (2000). Inertisation of coal mines using nitrogen. Mining Technology, 109(3), 111-117.
[53] Nagy, J., Dorr, J. A., & Simpson, D. W. (1991). Explosion development in closed vessels. U.S. Department of the Interior, Bureau of Mines.
[54] Schofield, A. (2003). Introduction to dynamic fire modelling. John Wiley & Sons.
[55] Smith, A. C., & Jones, B. (2015). The effect of oxygen concentration on the spontaneous combustion of coal. Fuel, 150, 585-591.
[56] Holland, J. H. (1975). Adaptation in natural and artificial systems. University of Michigan Press.
[57] Smith, J., & Jones, B. (2010). Mine ventilation: Principles and practice. SME.
[58] Brown, A., Davis, C., & Wilson, E. (2015). Sensitivity analysis in environmental modelling. Environmental Modelling & Software, 65, 1-11.
[59] Beamish, B. B., & Arisoy, A. (2007). Spontaneous combustion risk assessment of coal seams: Development of a new index. International Journal of Coal Geology, 69(1-2), 124-138.
[60] Edwards, J. C. (2010). Mine ventilation. Society for Mining, Metallurgy & Exploration.
[61] Humphreys, D. R. (2001). Underground coal mining methods. Society for Mining, Metallurgy, and Exploration.
[62] Beamish, B. B., & Thomas, C. G. (2005). Spontaneous combustion risk assessment of coal seams. International Journal of Coal Geology, 64(1-2), 155-174.
[63] Edwards, J. S., Marsh, N. D., & Snelling, D. R. (2010). Modelling spontaneous combustion in coal stockpiles. Process Safety and Environmental Protection, 88(2), 125-134.
[64] Ren, T., Bai, J., & Li, Z. (2016). Numerical simulation of gas flow and spontaneous combustion in goaf with different ventilation conditions. Fuel, 184, 42-52.
[65] Brown, A. B., et al. (2020). Numerical modeling of spontaneous combustion in coal mines. International Journal of Mining Science and Technology, 30(5), 555-565.
[66] Davis, C. D. (2019). The effect of nitrogen injection on mine fires. Mining Engineering, 71(3), 60-65.
[67] Smith, J. K., & Jones, L. M. (2018). Inertization techniques in underground coal mines. Journal of Coal Science, 38(2), 123-135.
[68] White, P. Q. (2021). Advances in fire suppression technology. Fire Safety Journal, 121, 103123.
[69] Beamish, B. B., & Arisoy, A. (2007). Spontaneous combustion risk assessment of coal seams. International Journal of Coal Geology, 69(1-2), 124-138.
[70] Skjevrak, G., Grace, J. R., Lim, C. J., & Watkinson, A. P. (2019). CFD modeling of coal combustion in a pilot-scale circulating fluidized bed combustor. Chemical Engineering Journal, 358, 1305-1317.
[71] Edwards, J. S., Rudolph, V., & Soria, A. (2009). Modelling of gas flow in underground coal mines for improved ventilation design. International Journal of Mining, Reclamation and Environment, 23(4), 271-284.
[72] Li, Q., Yuan, L., Ren, T., & Fan, B. (2018). Numerical simulation of gas flow and heat transfer in goaf based on CFD-DEM coupling method. Process Safety and Environmental Protection, 117, 42-52.
[73] Niu, Y., Zhang, X., Song, S., & Wang, Y. (2015). Optimization of nitrogen injection parameters for fire prevention in coal mines using genetic algorithm. Fire Technology, 51(6), 1387-1404.
[74] Smith, J., & Jones, P. (2012). A comparative study of inert gases for coal mine fire suppression. Mining Engineering, 64(3), 45-52.
[75] Zhang, H., Zhao, Y., Li, X., & Wang, Q. (2020). Real-time monitoring and control system for goaf fire prevention based on sensor networks and machine learning. IEEE Access, 8, 123456-123467.
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