Towards a hybrid Eulerian–Lagrangian CFD modeling of coal gasification in a circulating fluidized bed reactor

Klimanek, Adam; Adamczyk, Wojciech; Katelbach-Woźniak, Anna; Węcel, Gabriel; Szlęk, Andrzej

doi:10.1016/j.fuel.2014.10.058

Cited by 75 publications

(34 citation statements)

References 26 publications

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“…Particle number in a parcel,

N_{normalp}

, which affects the accuracy of results, is an important parameter for coarse‐grained modelling approaches . Usually in the DDPM modelling approach, the standard treatment for particle number in a parcel is calculated by the ratio of parcel mass to the particle mass:

N_{normalp} = \frac{m_{parcel}}{m_{particle}} = \frac{N_{normalp} \cdot ρ_{normalp} \cdot \frac{1}{6} π d_{normalp}^{3}}{ρ_{normalp} \cdot \frac{1}{6} π d_{normalp}^{3}} = \frac{ρ_{normalp} \cdot \frac{1}{6} π d_{parcel}^{3}}{ρ_{normalp} \cdot \frac{1}{6} π d_{normalp}^{3}} = {(\frac{d_{parcel}}{d_{p}})}^{3}

…”

Section: Resultsmentioning

confidence: 99%

“…Particle number in a parcel, N p , which affects the accuracy of results, is an important parameter for coarse-grained modelling approaches. [28,34] Usually in the DDPM modelling approach, the standard treatment for particle number in a parcel is calculated by the ratio of parcel mass to the particle mass: [27,29,30,33,[52][53][54]…”

Section: Correlation For Particles Per Parcel Based On Clustersmentioning

confidence: 99%

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Numerical simulation of a semi‐industrial scale CFB riser using coarse‐grained DDPM‐EMMS modelling

et al. 2017

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In this work, a coarse‐grained Dense Discrete Phase Model (DDPM) coupled with the Energy‐Minimization Multi‐Scale (EMMS) drag, was used to simulate the hydrodynamics of a 3D semi‐industrial scale Circulating Fluidized Bed (CFB) with Geldart A particles. The effect of particle numbers in a parcel, an important parameter in a coarse‐grained approach, was investigated. It was found that when parcel diameter falls into the size range of clusters, simulation results are insensitive to particle number in a parcel and generally agree with the experimental data. Further, a comparison between DDPM and Eulerian Two‐Fluid Modelling (TFM) approaches was investigated, both coupled with EMMS and conventional homogenous drag. The simulation results suggested that the effect of meso‐scale structures on drag force needs to be considered in both modelling approaches.

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“…Particle number in a parcel,

N_{normalp}

N_{normalp} = \frac{m_{parcel}}{m_{particle}} = \frac{N_{normalp} \cdot ρ_{normalp} \cdot \frac{1}{6} π d_{normalp}^{3}}{ρ_{normalp} \cdot \frac{1}{6} π d_{normalp}^{3}} = \frac{ρ_{normalp} \cdot \frac{1}{6} π d_{parcel}^{3}}{ρ_{normalp} \cdot \frac{1}{6} π d_{normalp}^{3}} = {(\frac{d_{parcel}}{d_{p}})}^{3}

…”

Section: Resultsmentioning

confidence: 99%

Section: Correlation For Particles Per Parcel Based On Clustersmentioning

confidence: 99%

Numerical simulation of a semi‐industrial scale CFB riser using coarse‐grained DDPM‐EMMS modelling

et al. 2017

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“…Despite, having benefits of Lagrangian methods and is applicable to large systems, it demands further tests and validations. Some predictions for coal gasification and coal oxy-fuel combustion in circulating fluidized beds (Adamczyk et al, 2014a;Klimanek et al, 2015), circulating fluidized bed boiler (Adamczyk et al, 2014b), impinging particle jet in a channel (Chen and Wang, 2014), solid sorbent carbon capture reactor (Ryan et al, 2013) and ceramic dispersion in liquid pool (Zhang and Nastac, 2014) are made using DDPM-KTGF model. (Ryan et al, 2013) have experienced less stability of DDPM-KTGF solution compared to Euler-granular model and MP-PIC method for a given reactor design and (Chen and Wang, 2014) highlights the requirement of further improvements for DDPM-KTGF model.…”

Section: Dense Discrete Phase Model Incorporated With Kinetic Theory mentioning

confidence: 99%

CFD Approaches for Modeling Gas-Solids Multiphase Flows - A Review

Ariyaratne

Manjula

Ratnayake

et al. 2018

Linköping Electronic Conference Proceedings

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This review study focuses on the application of Computational Fluid Dynamics (CFD) in the investigation of gas-solids multiphase flow systems. The applicability and limitations of conventional models and recent developments of existing multiphase models for the prediction of gas-solids flows are thoroughly overviewed. Use of conventional Eulerian-Eulerian model for granular flows and Lagrangian approach incorporated with Discrete Element Method (CFD-DEM) are quite well proven, however some limitations restrict the use of these models in wide range of applications. Therefore, some new models have been introduced to model gas-solids flows, as example Dense Discrete Phase Model incorporated with Kinetic Theory of Granular Flow (DDPM-KTGF), Dense Discrete Phase Model incorporated with Discrete Element Method (DDPM-DEM) and Computational Particle Fluid Dynamics (CPFD) numerical scheme incorporated with the MultiPhase-Particle-In-Cell (MP-PIC) method. These models have been validated for certain applications under certain conditions, however, further validation of these models is still a necessity.

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“…The restriction is solved at the expense of large computational time, and this subject still needs further development (Fan and Fox, 2008;Fox et al, 2008;. The hybrid Euler-Lagrange approach, usually known as the dense discrete particle model (DDPM) (Klimanek et al, 2015), alternatively as computational particle fluid dynamic method (CPFD) (Snider et al, 2011) or multiphase particle-in-cell method (MP-PIC) (Andrews and O'Rourke, 1996), can be treated as a compromise between the Euler-Euler and Euler-Lagrange methods. In the hybrid Euler-Lagrange framework, the particle-particle and particle-wall interactions are determined on the Eulerian grids and then interpolated to discrete particles for Lagrangian tracking (Alobaid, 2015).…”

Section: Introductionmentioning

confidence: 99%

A pseudo-3D model with 3D accuracy and 2D cost for the CFD–PBM simulation of a pilot-scale rotating disc contactor

Chen

Sun

Song

et al. 2016

Chemical Engineering Science

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Towards a hybrid Eulerian–Lagrangian CFD modeling of coal gasification in a circulating fluidized bed reactor

Cited by 75 publications

References 26 publications

Numerical simulation of a semi‐industrial scale CFB riser using coarse‐grained DDPM‐EMMS modelling

Numerical simulation of a semi‐industrial scale CFB riser using coarse‐grained DDPM‐EMMS modelling

CFD Approaches for Modeling Gas-Solids Multiphase Flows - A Review

A pseudo-3D model with 3D accuracy and 2D cost for the CFD–PBM simulation of a pilot-scale rotating disc contactor

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