2015
DOI: 10.1016/j.ces.2014.08.045
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CFD–DEM simulation of biomass gasification with steam in a fluidized bed reactor

Abstract: A comprehensive CFD-DEM numerical model has been developed to simulate the biomass gasification process in a fluidized bed reactor. The methodology is based on an Eulerian-Lagrangian concept, which uses an Eulerian method for gas phase and a discrete element method (DEM) for particle phase. Each particle is individually tracked and associated with multiple physical (size, density, composition, and temperature) and thermo-chemical (reactive or inert) properties. Particle collisions, hydrodynamics of dense gas-p… Show more

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Cited by 220 publications
(86 citation statements)
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“…Article DOI:10.1021/acs.energyfuels.5b00953Energy Fuels XXXX, XXX, XXX−XXX same for both the gasification and pyrolysis applications. Moreover, the predicted results are also compared to the experimental data available in the literature, 8 and the differences resulting from different particle shrinkage and devolatilization models are highlighted.…”
mentioning
confidence: 98%
“…Article DOI:10.1021/acs.energyfuels.5b00953Energy Fuels XXXX, XXX, XXX−XXX same for both the gasification and pyrolysis applications. Moreover, the predicted results are also compared to the experimental data available in the literature, 8 and the differences resulting from different particle shrinkage and devolatilization models are highlighted.…”
mentioning
confidence: 98%
“…The Discrete Element Model (DEM) used in this work is an Eulerian-Lagrangian model, which describes the gas-phase as a continuum, whereas each of the individual particles is treated as a discrete entity (Ku et al 2014(Ku et al , 2015a). The inter-particle collisions are handled through a hard-sphere collision model.…”
Section: Discrete Particle Phasementioning
confidence: 99%
“…The solid particles are approximated with Newton's law of motion. This gives high loading to cPu during simulations and is often limited to 2D or quasi-3D and in the order of 10 4 number of particles [19]. The mP PIc modelling is based on the Eulerian approach for fluid particles and lagrangian approach for the solid particles.…”
Section: Introductionmentioning
confidence: 99%