CFD modelling of ventilation and dust flow behaviour above an underground bin and the design of an innovative dust mitigation system

Abstract To mitigate dust contamination in the mine intake roadway, Computational Fluid Dynamics (CFD) study was first conducted to understand the ventilation and respirable dust flow behaviour above the bin. Based on the modelling results, two possible solutions were proposed for dust control, one is modifying the ventilation system to dilute the respirable dust particles, and the other is using water mist dust droppers to suppress and capture the majority of the dust particles. Modelling results indicated that respirable dust particles could be significantly diluted at the operators’ breathing level by increasing the ventilation volume from the horizontal air intake, where 10–13 m3/s of air flow rate was suggested to be a preferable quantity. The mechanism of respirable dust capture using water mist was investigated from classical theory and two phase flow theory, respectively, both of which demonstrated a good dust mitigation effect was achievable. CFD models were employed to investigate the flow behaviour of water mists when sprays were oriented at different directions above the bin. An innovative design of dust control system employing water mist technology with four nozzles was proposed and subsequently built for field implementation. An independent field dust evaluation demonstrated that a reduction up to 68% of respirable dust particles has been achieved in the vicinity of the underground bin, and an average of 40% respirable dust reduction along the belt roadway. The successful application of the new dust mitigation system also demonstrates its potential use in underground longwall faces, roadway development and subsurface tunnel excavations by roadheader.

[1]  M. Sommerfeld,et al.  Multiphase Flows with Droplets and Particles , 2011 .

[2]  John A. Organiscak,et al.  Best Practices for Dust Control in Coal Mining , 2010 .

[3]  V. S. Vutukuri,et al.  Environmental Engineering in Mines , 1986 .

[4]  G V Goodman Using water sprays to improve performance of a flooded-bed dust scrubber. , 2000, Applied occupational and environmental hygiene.

[5]  Javier Toraño,et al.  Models of methane behaviour in auxiliary ventilation of underground coal mining , 2009 .

[6]  Jay F. Colinet,et al.  Current Dust Control Practices On U. S. Longwalls , 1900 .

[7]  Robert P. Vinson,et al.  Performance of a new personal respirable dust monitor for mine use , 2004 .

[8]  Harvey Patashnick,et al.  Implementing a New Personal Dust Monitor as an Engineering Tool , 2005 .

[9]  B. Launder,et al.  Mathematical Models of turbulence , 1972 .

[10]  Javier Toraño,et al.  Auxiliary ventilation in mining roadways driven with roadheaders: Validated CFD modelling of dust behaviour , 2011 .

[11]  John A. Organiscak,et al.  Airborne Dust Capture and Induced Airflow of Various Spray Nozzle Designs , 2007 .

[12]  H.W.Wu,et al.  Evaluation of a new real time personal dust meter for engineering studies , 2005 .

[13]  Xiao-bo Song,et al.  New Respirable Dust Suppression Systems for Coal Mines , 2007 .

[14]  Ting Ren,et al.  Development of a water-mist based venturi system for dust control from maingate chocks and BSL , 2011 .

[15]  Fred N. Kissell,et al.  Handbook for Dust Control in Mining , 2003 .

[16]  David Hargreaves,et al.  The computational modeling of the ventilation flows within a rapid development drivage , 2007 .

[17]  H. W. Wu,et al.  A New Real Time Personal Respirable Dust Monitor , 2006 .

[18]  Ting Ren,et al.  Dust monitoring and control efficiency measurement in longwall mining , 2011 .