2017
DOI: 10.1016/j.cej.2017.03.109
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Improvement of the simulation of fuel particles motion in a fluidized bed by considering wall friction

Abstract: A. (2017). Improvement of the simulation of fuel particles motion in a fluidized bed by considering wall friction. Chemical

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Cited by 11 publications
(5 citation statements)
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“…However, these buoyancy effects can be avoided by increasing the gas velocity to impose a more vigorous fluidization of the bed, improving the fuel mixing (Soria-Verdugo et al, 2011b;Köhler et al, 2017). This improvement of fuel axial mixing for increasing gas velocities was confirmed by simulations run by Garcia-Gutierrez et al (2017) using a fully couple hybrid-model. Regarding fuel lateral mixing, mixing cells, defined as regions of the fluidized bed containing a bubble preferential path at the center (Pallarès and Jhonsson, 2006), affect the dispersion of solid fuel particles inside the bed (Sette et al, 2014), while their motion in the freeboard can be modeled as a ballistic trajectory (García-Gutiérrez et al, 2014).…”
Section: Introductionmentioning
confidence: 83%
“…However, these buoyancy effects can be avoided by increasing the gas velocity to impose a more vigorous fluidization of the bed, improving the fuel mixing (Soria-Verdugo et al, 2011b;Köhler et al, 2017). This improvement of fuel axial mixing for increasing gas velocities was confirmed by simulations run by Garcia-Gutierrez et al (2017) using a fully couple hybrid-model. Regarding fuel lateral mixing, mixing cells, defined as regions of the fluidized bed containing a bubble preferential path at the center (Pallarès and Jhonsson, 2006), affect the dispersion of solid fuel particles inside the bed (Sette et al, 2014), while their motion in the freeboard can be modeled as a ballistic trajectory (García-Gutiérrez et al, 2014).…”
Section: Introductionmentioning
confidence: 83%
“…Numerical simulations of fluidized bed systems constitute a complementary tool to experiments, either to analyse variables difficult to measure in experimental units or to test extreme experimental conditions. The most common numerical techniques to simulate fluidized beds are Eulerian−Eulerian Two−Fluid Models (TFM) [51,52,53], Eulerian−Lagrangian approaches such as Discrete Element Models (DEM) [54,55], or a combination of both strategies (coupled TFM−DEM) [56,57]. The use of these techniques combined with experiments can be very effective to achieve a detailed analysis of the hydrodynamics of complex gas−solids systems [58,59].…”
Section: Aircooledmentioning
confidence: 99%
“…MFiX (which is an acronym for "Multiphase Flow with Interphase eXchanges") is developed by the National Energy Technology Laboratory of the United States. Presently, it is employed by researchers all around the world for various purposes [23][24][25][26][27][28][29][30][31][32]. We chose it because of its unique advantages: it is an open-source program that is entirely transparent to the user and editable, but it is also provided with a user-friendly graphical user interface (GUI).…”
Section: Introductionmentioning
confidence: 99%