Modelling and Validation of TBR Hydrodynamics: Local Comparison between CFD and Experiments
A Computational Fluid Dynamics (CFD) and validation experimental study was conducted for a packed column where two fluid phases flow downward in a trickle regime. In the model, the explicit description of the solid packing was incorporated in order to account for the textural characteristics of the bed through a resolved-particle approach, and the momentum balances for the two fluid phases were solved in the void space between the packing. The models were implemented in the commercial software COMSOL Multiphysics 5.3a. In the experimental setup, the local liquid velocity and liquid saturation diameter profiles at three different location in the column height were determined using optical fiber probes. These experimentally determined profiles were used to validate the local predictions of the CFD model, which considered the two-phase hydrodynamics and the three-phase interaction forces through interfacial momentum exchange closures. The results show that the CFD model can properly predict the local variation of the liquid velocity at different flow rate conditions, with an average absolute error below 18.6%. The CFD model properly predicted the liquid maldistribution observed in the experimental measurements. Furthermore, the CFD model results allowed to study other local phenomena, such as bypass channeling and backmixing; and also allowed to determine the variations in the interaction forces between the phases.
S. Uribe et al., "Modelling and Validation of TBR Hydrodynamics: Local Comparison between CFD and Experiments," Fuel, vol. 277, Elsevier, Oct 2020.
The definitive version is available at https://doi.org/10.1016/j.fuel.2020.118244
Chemical and Biochemical Engineering
Center for High Performance Computing Research
Keywords and Phrases
CFD Model Validation; CFD Modelling; Multiphase Modelling; Optical Fiber Probes; Resolved-Particle Model; TBR Hydrodynamics
International Standard Serial Number (ISSN)
Article - Journal
© 2020 Elsevier, All rights reserved.
01 Oct 2020