Fluidized bed modeling applied to the analysis of processes: review and state of the art

Abstract

a b s t r a c tThe fluidized bed is a technology that involves multiple phases, allowing for efficient contact between them, therefore it is widely used in the chemical industry, metallurgy, oil and thermal power generation. In fluidized bed processes, the gas-solid interactions and chemical reactions generate a large number of variables to be handled, making the process very complex. Therefore, fluidized bed modeling and simulation is widely used to predict and analyze different processes, but it is possible to find in the literature many mathematical correlations that describe this type of flow. Based on this, the present work presents a review of the main mathematical models that describe the behavior of a fluidized bed reactor, and the state of the art regarding the use of modeling and simulation of the bed to predict and analyze different processes. As a result of this review, we can observe the importance of further development of the hydrodynamic modeling of fluidized beds, where understanding the interactions between the phases and the influence of this interaction is crucial for a better understanding and control of the processes. Generating experimental data of gas-solid and solid-solid interactions is also required for the validation of the numerical models.

Encapsulation and Fluidization Maintains the Viability and Glucose Sensitivity of Beta-Cells

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On the fast modeling of species transport in fluidized beds using recurrence computational fluid dynamics

“…Nowadays, computational methods based on fundamental principles for resolving each particle–particle and fluid–particle interactions have allowed to explore many details of the underlying dynamics in fluidized beds. Using the computational fluid dynamics (CFD) techniques or lattice Boltzmann methods, the fluid hydrodynamics (obeying Navier–Stokes equations) is investigated on finer grids than the particles separations disclosing all forces exerted on the particles surface (drag), and deducing improved empirical correlations .…”

Effect of bed particle size and temperature variation on the minimum fluidisation velocity: A comparison with minimum fluidisation velocity correlations for bubbling fluidised bed designs

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