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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Fundação para a Ciência e a Tecnologia

Federación Española de Enfermedades Raras

2D and 3D simulations were carried out to predict the whole gasification process behaviour in a pilot-scale bubbling fluidized bed reactor. Special concern for the complex hydrodynamics phenomena within the fluidized bed was undertaken. The implemented multiphase Eulerian-Eulerian mathematical model was validated by comparison to experimental gasification runs and fluidization curves gathered from the pilot-scale fluidized bed. Appropriate 2D and 3D computational domains were achieved by applying a mesh sensitivity study. Solids distribution within the fluidized bed, mixing and segregation phenomena and binary mixture heat transfer were comparatively studied for both configurations. 3D simulations showed improved predicting performance with the experimental results. Also, 3D simulations presented improved segregation degree, while 2D simulations showed improved mixing index, alongside with a tendency to underestimate the reactor heat transfer behaviour. Main findings point to a general good agreement with some close resemblances in the solids distribution between the 2D and 3D simulations whenever quantitative values were considered, while in absolute terms larger discrepancies were seen. The bed expansion was misrepresented at higher superficial gas velocities to a great extent by the 2D configuration. Moreover, it was found that higher superficial gas velocity will induce higher differences between both configurations. Lastly, both configurations successfully described the general tendencies, however, 2D simulations are appropriate every time accuracy is not demanding, whereas 3D simulations should be considered for accurate predictions.

C3i – Interdisciplinary Centre for Research and Innovation Polytechnic Institute of Portalegre

Federal Centre of Technological Education Celso Suckow da Fonseca (CEFET/RJ) Angra dos Reis Campus

Centre for Environmental and Marine Studies Department of Environment and Planning University of Aveiro

LOSE Laboratory São Paulo State University Faculty of Engineering of Guaratinguetá

Institute of Bioenergy Research (IPBEN-UNESP) São Paulo State University

LOSE Laboratory São Paulo State University Faculty of Engineering of Guaratinguetá

Institute of Bioenergy Research (IPBEN-UNESP) São Paulo State University

CAPES: FCT/CAPES 2018/2019

Fundação para a Ciência e a Tecnologia: IF/01772/2014

Fundação para a Ciência e a Tecnologia: UID/AMB/50017/2013