This work focuses on the comparison of simulated methanol
fluid–particle
fluidization behavior using the two-fluid model (TFM) and computational
fluid dynamics–discrete element method (CFD-DEM) in subcritical
methanol (SbM) and supercritical methanol (SCM) fluidized beds (FBs).
The solid-phase constitutive correlations are modeled using the low
density ratio-based kinetic theory of granular flow. The fluidization
states of methanol fluid–particle mixtures using the TFM and
CFD-DEM are compared with four thresholds reported in the literature.
The outcome of the comparison shows that simulations using the TFM
and CFD-DEM capture the coexistence of wave-like flow and churn-like
flow along bed height in SbM FBs, and particle aggregates and fluid
voids flow in SCM FBs. Agreement in methanol fluid pressure is observed,
while discrepancy in volume fractions and velocities is found from
the TFM and CFD-DEM in SbM and SCM FBs. Predicted methanol fluid fluctuating
quantities of turbulent kinetic energy, dissipation rate, and granular
temperatures show sensitivity to the two-equation turbulence model
and collisional properties. The predicted expansion bed height and
volume fractions agree well with experimental data in superficial
carbon dioxide fluid and ambient water FBs.