Hydrodynamics of a bed fluidized gasifier bubbly: validation of the simulation

Authors

  • Mikele Cândida Sousa Sant'Anna UNIVERSIDADE FEDERAL DE PERNAMBUCO
  • Wenna Raissa dos Santos Cruz Programa de Pós-Graduação em Engenharia de Processos/ Universidade Tiradentes
  • Sandra Maria Sarmento UNIVERSIDADE FEDERAL DE PERNAMBUCO
  • Gabriel Francisco Silva UNIVERSIDADE FEDERAL DE SERGIPE
  • Ricardo Andrade Medronho UNIVERSIDADE FEDERAL DO RIO DE JANEIRO
  • Sergio Lucena UNIVERSIDADE FEDERAL DE PERNAMBUCO

DOI:

https://doi.org/10.14808/sci.plena.2016.014201

Keywords:

validation, fluid dynamics, fluidization

Abstract

Fluidized beds may be used in many industrial processes, such as gasification of biomass. These beds promote a higher solid-gas contact. Understanding the hydrodynamics of these systems is important to optimize the gasification process. In this work, experimental data from the literature was employed to validate the computational model of the fluidized bed using a 2D geometry. After the validation, it was possible to apply the same conditions to the actual equipment (keeping the 2D simplification). It was then possible to estimate pressure drop and bed expansion as well as the profiles of pressure and volume fraction. The relative errors between the simulations and the experimental data were less than 5.0% during the bubbling fluidization. Comparing two different geometries, the maximum relative error for fluid dynamic parameters: pressure drop, final bed height and the ratio between the final and the initial heights of the bed remained under 12.0%. Therefore, the computational model used in this work serves as a basis for analyzing the bubbling fluidization, which enables the study of other changes in the operational conditions of the fluidized bed.

Published

2016-01-19

How to Cite

Sant’Anna, M. C. S., Cruz, W. R. dos S., Sarmento, S. M., Silva, G. F., Medronho, R. A., & Lucena, S. (2016). Hydrodynamics of a bed fluidized gasifier bubbly: validation of the simulation. Scientia Plena, 12(1). https://doi.org/10.14808/sci.plena.2016.014201

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