Advertisement

Heat and Mass Transfer

, Volume 52, Issue 12, pp 2723–2734 | Cite as

3-D simulation of gases transport under condition of inert gas injection into goaf

  • Mao-Xi Liu
  • Guo-Qing ShiEmail author
  • Zhixiong GuoEmail author
  • Yan-Ming Wang
  • Li-Yang Ma
Original

Abstract

To prevent coal spontaneous combustion in mines, it is paramount to understand O2 gas distribution under condition of inert gas injection into goaf. In this study, the goaf was modeled as a 3-D porous medium based on stress distribution. The variation of O2 distribution influenced by CO2 or N2 injection was simulated based on the multi-component gases transport and the Navier–Stokes equations using Fluent. The numerical results without inert gas injection were compared with field measurements to validate the simulation model. Simulations with inert gas injection show that CO2 gas mainly accumulates at the goaf floor level; however, a notable portion of N2 gas moves upward. The evolution of the spontaneous combustion risky zone with continuous inert gas injection can be classified into three phases: slow inerting phase, rapid accelerating inerting phase, and stable inerting phase. The asphyxia zone with CO2 injection is about 1.25–2.4 times larger than that with N2 injection. The efficacy of preventing and putting out mine fires is strongly related with the inert gas injecting position. Ideal injections are located in the oxidation zone or the transitional zone between oxidation zone and heat dissipation zone.

Keywords

Coal Seam Spontaneous Combustion Oxidation Zone Dangerous Zone Mine Fire 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

List of symbols

A

Pro-factor

a0

Attenuation rate in the tendency direction

a1

Attenuation rate in the srike direction

b0, b1

Adjusting parameters

C

Mass concentration

D

Diffusivity (m2s−1)

E

Activation energy (kJ/mol)

\( \overrightarrow {g} \)

Vector of gravity (ms−2)

H

Height (m)

\( K \)

Coefficient of rock dilatation

\( K_{p,\hbox{max} } \)

Initial caving coefficient

\( K_{p,\hbox{min} } \)

Coefficient of bulk increase

k

Permeability (m2)

\( k_{0} \)

Base permeability (m2)

L

Length (m)

\( \dot{m} \)

Mass generation rate (kg/m3s)

\( P \)

Pressure (N/m2)

R

Ideal gas constant

\( S \)

Source term

T

Temperature (K)

\( t \)

Time (s)

\( \varvec{u} \)

Velocity vector

\( u,\,v,\,w \)

Velocity components (m/s)

W

Width (m)

x, y, z

Spatial coordinates

Greek symbols

\( \alpha \)

Reaction constant

\( \varepsilon \)

Adjusting parameter

ξ

Porosity

μ

Dynamic viscosity [kg/(m s)]

ρ

Density of the gas mixture (kg/m3)

Subscripts

i

Gas component

Notes

Acknowledgments

This research was supported by the National Natural Science Foundation of China (Grant Nos. 51104154 and 51134020), Central Subordinate University Basic Scientific Research Foundation (2011QNA05) and CUMT Innovation and Entrepreneurship Fund for Undergraduates (201403 and 201503).

References

  1. 1.
    Krishnaswamy S, Agarwal PK, Gunn RD (1996) Low-temperature oxidation of coal. 3. Modeling spontaneous combustion in coal stockpiles. Fuel 75:353–362CrossRefGoogle Scholar
  2. 2.
    Li X (1998) Coal mine safety in China. China Coal Industry Press, BeijingGoogle Scholar
  3. 3.
    Hofgren H, Sunden B (2015) Evaluation of Planck mean coefficients for particle radiative properties in combustion environments. Heat Mass Transf 51:507–519CrossRefGoogle Scholar
  4. 4.
    Achim D, Naser J, Morsi YS, Pascoe S (2009) Numerical investigation of full scale coal combustion model of tangentially fired boiler with the effect of mill ducting. Heat Mass Transf 46:1–13CrossRefGoogle Scholar
  5. 5.
    Wang H, Dlugogorski BZ, Kennedy EM (2003) Coal oxidation at low temperatures: oxygen consumption, oxidation products, reaction mechanism and kinetic modeling. Prog Energy Combust Sci 29:487–513CrossRefGoogle Scholar
  6. 6.
    Deng J, Xu J, Li L (2001) Experimental investigation on the relationship of oxygen consumption rate of coal and the concentration of oxygen. J Xiangtan Min Inst 3:12–18Google Scholar
  7. 7.
    Singh D, Croiset E, Douglas PL, Douglas MA (2003) Techno-economic study of CO2 capture from an existing coal-fired power plant: MEA scrubbing vs. O2/CO2 recycle combustion. Energy Convers Manag 44:3073–3091CrossRefGoogle Scholar
  8. 8.
    Shao H, Jiang S, Wu Z (2013) Numerical simulation on fire prevention by infusing carbon dioxide into goaf. J Min Saf Eng 30(1):154–158Google Scholar
  9. 9.
    Li X (2003) Numerical simulation and parameter determination of nitrogen injection process in Fire prevention and Extinguishing in fully mechanized longwall top-coal goaf. China Saf Sci J 5:57–61Google Scholar
  10. 10.
    Zhang Y, Liu P, Li P, Huang Z, Gao Y (2013) Research on influence of injecting CO2 at goaf of 13304 caving face of Sunjiagou coal mine on its three zones of spontaneous combustion. Disaster Adv 6:341–349Google Scholar
  11. 11.
    Sun Y, Ma J (2015) Application of collocation spectral method for irregular convective–radiative fins with temperature-dependent internal heat generation and thermal properties. Int J Thermophys 36(10–11):3133–3152CrossRefGoogle Scholar
  12. 12.
    Liang Y, Zhang T, Wang S, Sun J (2012) Heterogeneous model of porosity in gobs and its airflow field distribution. J China Coal Soc 09:1203–12037Google Scholar
  13. 13.
    Che Q (2010) Study on coupling law of mixed gas three-dimensional multi-field in goaf. China Univ Min Technol, BeijingGoogle Scholar
  14. 14.
    Yuan L, Smith AC (2009) CFD modeling of spontaneous heating in a large-scale coal chamber. J Loss Prev Process Ind 22(4):426–433CrossRefGoogle Scholar
  15. 15.
    Wang F (2004) Computational fluid dynamics: the basics with application. Tsinghua University Press, BeijingGoogle Scholar
  16. 16.
    Qian M, Li H (1982) A study of the behaviour of overlying strata in longwall mining and its application to strata control. J China Coal Soc 7(2):1–12Google Scholar
  17. 17.
    Hoek E, Bray JW (1981) Rock slope engineering, revised, 3rd edn. Institution of Mining and Metallurgy, LondonGoogle Scholar
  18. 18.
    Creedy DP (1993) Methane emissions from coal relatedsources in Britain : development of a methodology. Energy Ind Source 26(1):419–439Google Scholar
  19. 19.
    Li Z, Yi G, Wu J, Guo D, Zhao C (2012) Study on spontaneous combustion distribution of goaf based on the “O” type risked falling and non-uniform oxygen. J China Coal Soc 3:484–489Google Scholar
  20. 20.
    Creedy DP, Clarke RDC (1992) Minimizing firedamp risks on high production coalfaces: a computational modelling approach. In: Proceedings of the international symposium: safety, hygiene and health in mining, pp 192–203Google Scholar
  21. 21.
    Ren T (1997) CFD modeling of methane flow around longwall coal faces. In: Proceedings of the 6th int mine ventilation congress, pp 17–22Google Scholar
  22. 22.
    Ren T, Edwards JS (2000) Three-dimensional computational fluid dynamics modeling of methane flow through permeable strata around a longwall face. Min Technol 109(1):41–48CrossRefGoogle Scholar
  23. 23.
  24. 24.
    Zhu H, Wang H, He C, Yang C (2013) Experimental of effect of oxygen concentration to coal low-temperature oxidation kinetics parameters. J Liaoning Tech Univ (Natural Science) 32:1153–1156Google Scholar
  25. 25.
    Wang D (2008) Mine fires. China University of Mining and Technology Press, XuzhouGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.College of Safety EngineeringChina University of Mine TechnologyXuzhouChina
  2. 2.Department of Mechanical and Aerospace EngineeringRutgers, State University of New JerseyPiscatawayUSA

Personalised recommendations