Coupled CFD-PBM simulation of bubble size distribution in a 2D gas-solid bubbling fluidized bed with a bubble coalescence and breakup model. (20th July 2019)

• Record Type: Journal Article
• Authors: Wang, Teng; Xia, Zihong; Chen, Caixia
• Is Part Of: Chemical engineering science. Volume 202(2019)
• Page Start: 208
• Page End: 221
• Publication Date: 2019-07-20
• Subjects: Gas-solid bubbling fluidized bed -- Bubble size distribution -- CFD-PBM -- Bubble coalescence and breakup model -- Pseudo bubble-emulsion drag model; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2019.03.045
• Languages: English
• ISSNs: 0009-2509

Abstract

Highlights: CFD-PBM model was developed for simulation of bubbling gas fluidized beds. A modified bubble coalescence and breakup model was proposed and validated. A pseudo bubble-emulsion drag model was derived for gas-solid interactions. Agreement is achieved for bubble BSD and many test items with grid size 100dp . Abstract: A coupled model of computational fluid dynamics and population balance model (CFD-PBM) scheme was developed to simulate bubble size distribution in gas-solid bubbling fluidized beds. The bubbling gas fluidized bed was divided into a discrete bubble phase and a dense emulsion including a pseudo solids continua modeled by the kinetic theory of granular flow (KTGF). A modified bubble coalescence and breakup model was proposed and implemented in the population balance model. A pseudo bubble-emulsion drag force model was derived based on the bubble size distribution and used for simulating the gas-solid momentum exchanges between gas bubbles and the solids belong to the emulsion phase. By taking into account the effects of bubble coalescence and breakup, the coupled CFD-PBM model was capable of predicting the hydrodynamic behavior of a bubbling gas-solid fluidized bed. A benchmark simulation showed good agreements between the computation results and the literature experimental data. Particularly, the predicted time-averaged bubble local hold-up maps, bubble size distributions and their evolution agreed well with the measurement data. Grid convergence simulation results demonstrated that the present model is able to predict the major hydrodynamic behavior of a 2D bubbling fluidized bed using coarse computational grids, which makes the present model a promising tool for applications in large-scale fluidized bed reactors.