CFD Simulation of Dry Pressure Drop in a Cross-Flow Rotating Packed Bed

The cross-flow rotating packed bed (RPB) has attracted wide attention in recent years because of its advantages of large gas capacity, low pressure drop and lack of flooding limitation. However, the complex structure of the packing makes it difficult to obtain the gas flow characteristics in the cross-flow RPB by experiments. In this study, the dry pressure drop in the cross-flow RPB was investigated by computational fluid dynamics (CFD). The packing was modeled by the porous media model and the rotation of the packing was simulated by the sliding mesh model. The simulation results obtained by three turbulence models were compared with experimental results, and the RNG k-epsilon model was found to best describe the turbulence behaviors in the cross-flow RPB. Then, the effects of gas flow rate and rotating speed on dry pressure drop in different parts of the cross-flow RPB were analyzed. The results of this study can provide important insights into the design and scale-up of cross-flow RPB.

Automated summary

This study utilized computational fluid dynamics (CFD) to investigate dry pressure drop in the cross-flow rotating packed bed (RPB), finding that the RNG k-epsilon model best described turbulence behaviors. The effects of gas flow rate and rotating speed on dry pressure drop in different parts of the RPB were also analyzed, providing important insights for design and scale-up.