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For a bubble study, the models by Gidaspow [54] and Hill-Koch-Ladd [56] are the most appropriate because their presented results were more congruent with experimental data.. These groups have some publications on the use of the CFD tool [12,48,52,59—61].. Modeling and simulation of a fluidized bed is largely used nowadays, not only to predict but also to analyze and improve different processes, and it has presented good results even though it still needs improvement.

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In the present work, the hydrodynamic modeling state of the art works regarding the use of simulation applied to the analysis of processes were reviewed.. Based on the studies reviewed, it was concluded that the hydrodynamic modeling of a fluidized bed lacks important details for a more precise analysis of the process.

There is also a need of experimental data, particularly relating to gas—solid and solid—solid interactions for the validation of existing mathematical models. Understanding the interactions between the phases and the influence of these interactions in the process is crucial, since they affect the dynamic behavior of the reactor and the chemical species conversion.. In the numerical simulation of a fluidized bed, due to the complexity of the equations that describe the flow, there is a need for the improvement of numerical technique and more powerful computers, because using the CFD tool for simulating processes in fluidized beds still has a high computational cost..

The authors declare no conflicts of interest.. Her research, under Dr. Leandro Dalla Zen, studies the fluid dynamics behavior and their influences in combustion processes in bubbling fluidized beds. Philippsen looks to complete her studies by Has experience in guiding students and Technology Center, in conducting projects in Metallurgical and Materials Engineering. Currently a Director of ABM. Has experience in Mechanical Engineering with emphasis on Harnessing of Energy, acting on the following topics: rice husk, combustion of biomass and waste into fluidized bed, energy conservation and alternative energy sources.

Also provides advice and design of passive energy systems in architecture: natural ventilation, thermal inertia, solar energy.. Journal of Materials Research and Technology. Open Access Option. Previous article Next article.

The Dynamics of Fluidized Particles - IOPscience

Issue 2. Pages April - June Fluidized bed modeling applied to the analysis of processes: review and state of the art.

Download PDF. Corresponding author. This item has received. Under a Creative Commons license. Article information. Table 1. Generating experimental data of gas—solid and solid—solid interactions is also required for the validation of the numerical models. Mathematical modeling. Because of this, there is a growing demand for mathematical models that allow the description and analysis for the development of a better understanding of processes and for creating new reactor projects.

Based on these models, many authors studied this subject [3—8] , among others who have contributed to the modeling of fluidized bed reactors with the aim of developing greater control of the system. CFD uses mathematical models based on mass transport phenomena, energy and momentum, along with theoretical and empirical correlations that require a long processing time, because it uses more complex and broader models, requiring more powerful computers. This analysis must be congruent with the goals to be achieved and with the available data [10—13].

Therefore, a hydrodynamic study of the fluidized bed is important to improve the process, because it is what determines the distribution of the phases and the species involved. This knowledge is important to establish correct parameters of the reaction and mass transport, and it is useful for making decisions about the reactor performance [12,20].

Based on this information, the present work presents a review of the main mathematical models that describe the hydrodynamic behavior of a fluidized bed reactor, and the state of the art regarding the use of modeling and simulation to predict and analyze different processes in fluidized beds, followed by the main considerations about the models used. Pneumatic transport occurs when gas velocity is greater than terminal velocity, and it is used in circulating fluidized beds [2,9,21].

Hydrodynamic behavior of a fluidized bed [21]. Summary of studies which used modeling and simulation to analyze processes in a fluidized bed. Davidson, D. Cambridge University Press, ,. Kunii, O. Jonh Wiley, ,. Wen, Y. Chem Eng Prog Symp Ser, 62 , pp. Kato, C. Bubble assemblage model for fluidized bed catalytic reactors.

Dynamics of Multichamber Granulation Processes

Chem Eng Sci, 24 , pp. Powder Technol, 7 , pp. Mori, C.

Estimation of bubble diameter in gaseous fluidized beds. AIChE J, 21 , pp. Darton, R.

The Science and Beauty of Fluidization

Lanauze, J. Bubble growth due to coalescence in fluidized beds. Trans Inst Chem Eng, 55 , pp. Haider, O. Drag coefficient and terminal velocity of spherical and nonspherical particles.

Powder Technol, 58 , pp. Handbook of fluidization and fluid-particle systems. Marcel-Dekker Inc. Modeling and simulation of a fluidized bed reactor for the methanol production. Ravelli, A. Perdichizzi, G. Description, applications and numerical modelling of bubbling fluidized bed combustion in waste-to-energy plants. Prog Energy Combust Sci, 34 , pp. Eulerian numerical simulation of gas—solid flow in riser with reduced dimensions applying refined meshes.

Papadikis, S.

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Gu, A. CFD modelling of the fast pyrolysis of biomass in fluidised bed reactors: Part B. Heat, momentum and mass transport in bubbling fluidised beds. Chem Eng Sci, 64 , pp. Simulation of reactive flows gas—solid in circulating fluidized beds. Ergudenler, A.