Fluidized Bed in Industry Scale: Comparing Eulerian Multiphase and Coarse-grained Cfd-dem Simulation

Abstract

To predict and analyse fluidized bed reactors in large scale two different methods are compared with experimental results: the coarse-grained CFD-DEM approach and the kinetic theory of granular flow, EMP-KTGF. Both methods have proven to give accurate results in lab scale, where all the flow patterns can be resolve by the underlying mesh. For larger scales modifications have to be implemented. In this study it is shown that EMMS-based drag corrections improve the accuracy significantly for both modelling approaches. CFD-DEM, the computationally more expensive method, shows better agreement with experimental results than EMP-KTGF, but at a cost of substantially higher computation times.