CFD-IBM-DEM simulation for elucidation of PM filtration mechanisms in fluidized bed filter

Fluidized bed filters exhibit high PM2.5 collection efficiency, as shown in our previous work. In this study, a CFDIBM-DEM simulation was conducted to elucidate the filtration mechanisms for the further development of these filters. A preliminary numerical simulation of a small fixed-bed filter was performed to determine the appropriate CFD grid size for computational accuracy and cost, and the grid of bed particles/10 was applied for PM filtration simulation of the fluidized bed. Numerical collection efficiency is high value of 92.06%, with bed particles of 420 mu m and a superficial velocity of 0.4 m/s. Fluidization becomes violent at 0.6 m/s, which decreases the collection efficiency to 84.12%. However, gentle fluidization is maintained even at 0.6 m/s using bed particles of 600 mu m, and the fluidization is the same as that observed using bed particles of 420 mu m and 0.4 m/s. These fluidization states exhibit similar collection efficiency.

Automated summary

This study conducted a CFD-IBM-DEM simulation to investigate the filtration mechanisms of fluidized bed filters for further development. The results showed that the particle size and superficial velocity significantly influenced the collection efficiency of PM filtration.