Modelling and Validation of a Gas-Solid Fluidized Bed using Advanced Measurement Techniques
With a Euler-two-phase (E2P) approach, through computational fluid dynamics (CFD) techniques, a mathematical model for the prediction of the local hydrodynamic behaviour of a gas-solid fluidized bed was implemented. Simulations are conducted for a fluidized bed of 0.14 m internal diameter packed with Gerdart B glass beads particles, with an average diameter of 365 μm, at dimensionless inlet velocities ranging from (Formula presented.). The implemented model considers the multiphase and multiscale interactions through the inclusion of three sub-models, which allows the model to have a broad range of applicability. Predictions were compared against experimental measurements reported on previous contributions for validation purposes. The experimental study was conducted by implementing advanced measurement techniques, such as a differential pressure transducer, and an optical fibre probe for simultaneous measurement of solids holdup and velocity, developed at the Multiphase Flow and Reactors Engineering and Applications Laboratory (mFReal). Local radial solids holdup, solids velocity, and pressure drop profiles were experimentally determined. Results show that the implemented model possesses a high predictive quality, predicting pressure drops with an average absolute relative error (AARE) between 8.6%-11.3%; solids holdup with a root mean squared deviation (RMSD) under 5%; and solids velocity with a RMSD under 22%.
S. Uribe et al., "Modelling and Validation of a Gas-Solid Fluidized Bed using Advanced Measurement Techniques," Canadian Journal of Chemical Engineering, Wiley, Jan 2021.
The definitive version is available at https://doi.org/10.1002/cjce.24070
Chemical and Biochemical Engineering
Center for High Performance Computing Research
Keywords and Phrases
CFD modelling; Euler-two-phase model; fluidized bed; optical fibre sensor
International Standard Serial Number (ISSN)
Article - Journal
© 2021 Canadian Society for Chemical Engineering, All rights reserved.
01 Jan 2021