2016
DOI: 10.1016/j.cherd.2016.09.023
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Three-dimensional modeling of biomass fuel flow in a circulating fluidized bed furnace with an experimentally derived momentum exchange model

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Cited by 15 publications
(8 citation statements)
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“…There are many different approaches in modeling fluidized beds that differ in the level of detail and applicability. The most detailed methods solve the movement of the individual particles and are limited to small scale applications, namely the discrete element method (Jalali et al, 2013;Lu et al, 2015), while less detailed methods, such as Eulerian-Eulerian (Nikku et al, 2016;Shah et al, 2015a) or Eulerian-Lagrangian approach with particle grouping methods (Adamczyk et al, 2014a(Adamczyk et al, , 2014bNikolopoulos et al, 2017), are able to simulate even large industrial applications. In an ideal case, where computational power would be abundant, methods such as direct numerical simulation (DNS) and discrete element method (DEM) would be used to solve the different flow related quantities with minimal amount of numerical modeling involved in the simulations.…”
Section: Introductionmentioning
confidence: 99%
“…There are many different approaches in modeling fluidized beds that differ in the level of detail and applicability. The most detailed methods solve the movement of the individual particles and are limited to small scale applications, namely the discrete element method (Jalali et al, 2013;Lu et al, 2015), while less detailed methods, such as Eulerian-Eulerian (Nikku et al, 2016;Shah et al, 2015a) or Eulerian-Lagrangian approach with particle grouping methods (Adamczyk et al, 2014a(Adamczyk et al, , 2014bNikolopoulos et al, 2017), are able to simulate even large industrial applications. In an ideal case, where computational power would be abundant, methods such as direct numerical simulation (DNS) and discrete element method (DEM) would be used to solve the different flow related quantities with minimal amount of numerical modeling involved in the simulations.…”
Section: Introductionmentioning
confidence: 99%
“…Figure 1 illustrates the mesh of the incinerator with the relevant inlets and outlets. The utilized cell sizes are similar to previous simulations with the same in-house CFB furnace model (Nikku et al 2014, Nikku et al 2016 and the model frame was found to be insensitive to mesh size (Nikku et al 2014). Both the MSW and coal are fed to the incinerator from the front wall with boundary conditions for fuel inlet velocity [vx,vy,vz] of [0,1,-1] m/s and fuel dispersion coefficients were 0.2 m/s 2 and 0.05 m/s 2 for horizontal and vertical directions, respectively (Nikku et al 2014).…”
Section: Simulation Casesmentioning
confidence: 99%
“…For large CFB furnaces and incinerators, time-dependent computational fluid dynamics (CFD) simulations are often too time consuming for engineering applications, and a common solution is to perform steady-state simulation to represent time-averaged conditions of the incinerator. Previously, this kind of modeling studies on CFB furnaces have been published utilizing an in-house three-dimensional CFB model frame to study combustion, gasification, and sorbent reactions in commercial and pilot scale CFB units (Hyppänen et al 1991, Lyytikäinen et al 2011, Nikku et al 2014, Nikku et al 2016. While many works are found in the literature dealing with different aspects of MSW incineration (waste production, chemical properties, emissions, enviromental impacts, etc.…”
Section: Introductionmentioning
confidence: 99%
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“…Numerical modeling is a cheap alternative to test new concepts and designs, compared to building prototypes, especially of large and expensive devices. Considering circulating fluidized bed (CFB) reactors and furnaces, where multiphase flow, heat transfer, and thermochemical reactions can occur simultaneously in various time‐ and length scales with strong coupling, detailed and extensive measurements are hard and very time consuming to perform 1 . Fluidized beds are multiphase systems where particulate matter called the bed material is set to a fluidlike state by a fluid flow, and the fluidization regime of the system depends primarily on the fluid flow rate, reactor geometry, and fluid and bed material properties.…”
Section: Introductionmentioning
confidence: 99%