Coal dust dispersion with the moving conveyance in a high-rise building for the mine hoist system

The present study investigates dust generated from the unloading process in a high-rise building for the mine hoist system and analyzes dust dispersion with the moving conveyance in the building. First, the gas-solid two-phase flow in the building was investigated based on the CFD-DPM method. In particular, the moving conveyance was considered in detail and treated via the dynamic mesh technology. Then, the airflow and dust distribution were investigated in the building. The airflow and the dust concentration at selected points show good agreement with the relative results of field measurements by ourselves. It is found that the descending conveyance significantly influences the surrounding flow field and the spatial and temporal distribution of dust. Dust concentration before the dust source (2 m x 2 m) is high, which extends downward with the conveyance. Dust concentration of the lower floors increases obviously when compared with that of the condition without the movement of the conveyance. The descending velocity of the conveyance also affects the amount of PM2.5 discharged from the return air outlet. The fitting functions are provided to predict PM2.5 emissions to the surrounding atmosphere. The research results are of great significance for the improvement of the dust control system for cleaner production technology.

Automated summary

The study examines dust generated during the unloading process in a high-rise building for the mine hoist system and analyzes the dispersion of dust during conveyance in the building. The gas-solid two-phase flow in the building is investigated using the CFD-DPM method, with particular attention to the moving conveyance using dynamic mesh technology. Airflow and dust distribution are then studied, and the results align well with field measurements. The research finds that the descending conveyance significantly impacts the flow field and the spatial and temporal distribution of dust, and provides fitting functions to predict PM2.5 emissions.