High-fidelity simulation of the 3-D full-loop gas–solid flow characteristics in the circulating fluidized bed

Luo, Kun; Wu, Fan; Yang, Shiliang; Fang, Mingming; Fan, Jianren

doi:10.1016/j.ces.2014.10.039

Cited by 69 publications

(16 citation statements)

References 55 publications

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“…The outer vortex and inner vortex were found to have the same rotational direction for the cyclone, according to the experimental parameters (Wu et al, 2018). Moreover, the estimate outcomes for the CFB with MFIX-PIC method in this study are compatible with the studies which used the CFD-DEM in the literature (Luo et al, 2015;Ma et al, 2017;Wang et al, 2014a, b;Wu et al, 2018). In short applying MFIX-PIC in a pilot scale CFB in order to understand hydrodynamic structure is acceptable.…”

Section: Models Of Gas-solid Systemssupporting

confidence: 83%

“…This could be attributed to the distribution of unstable motion of particles through interphase and interactions of inter-particle in the main coloum. The gas flow affected due to wall confinement bend to push through the center zone of the amplifier (Luo et al, 2015;Shi et al, 2015;Wang et al, 2017b). So, a dilute distribution of ascending particles and intense falling particles are monitored in the middle and wall regions of the bed, resulting in an "annular flow" structure typical of flow model inside main coloum (bed column).…”

Section: Models Of Gas-solid Systemsmentioning

confidence: 99%

“…In the DEM technique, each particle is tracked and wall/particle/particle impact are resolved in the soft sphere impact technique (Cundall & Strack, 1979). However, studies in the literature on this subject are very few, especially for CFB simulations (Luo et al, 2015;Wang et al, 2017a, b;Xu et al, 2018;Yang et al, 2019). Comparing the MP-PIC modeling method with DEM, it uses a renewed method to simulate particle/particle impact.…”

Section: Introductionmentioning

confidence: 99%

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Determination of the Bed Hydrodynamics by MFIX-PIC in the Biomass Gasification Process of Circulating Fluidized Bed

Altınsoy

KEÇECİ

Topal

2021

Gazi University Journal of Science Part A: Engineering and Innovation

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In this study, it was aimed to control the formation of flow regimes planned to be in the gasification process on the model, and the hydrodynamic structure of the circulating fluidized bed gasifier was obtained using the MFIX program. For this purpose, a model was established before pilot scale systems and hydrodynamic modeling was performed by entering the system dimensions that were calculated analytically. Because it is a necessary condition from the point of view of the chemical reaction to ensure the fluid bed regime of the gasifier, which is designated as a solid model, is a necessary condition. For this reason, the system whose geometry was determined and semi-empirical modeling was performed was modeled under previously determined operating conditions using the PIC (Eulerian-Lagrangian) model in the MFIX package program. In this technique, while fluid behavior is resolved by the Euler structure, particle behaviour is considered by the Lagrangian structure. The numeral effects are in great arrangement with the empiric datum showing that MFIX-PIC methods are reasonable among concentrated gas-solid network simulation. The primary characteristics of gas-solid streams in CFB are qualitatively determined by an ordinary annular flux form inside the main bed. The pressure inclination formed in the gas phase inside the lower and upper zones of the CFB bed column indicated turbulent and irregular gas-solid streams in lower and upper zones. The increased superficial gas velocity conducts to a further dissymmetrical gas axial velocity model, which shows improved effect in the recycling frame for gas homogeneity due to the over gas velocity. The superficial gas velocity obtained as a result of the MFIX-PIC modelling was found to be 7m/s for 100 kWth gas yield in the gasifier. The superficial gas velocity is the most basic parameter to be used both in the experimental parameter and in the thermochemical simulation. CiteAltınsoy, Y., Keçeci, A., & Topal, H. (20**). Determination of the bed hydrodynamics by MFIX-PIC in the biomass gasification process of circulating fluidized bed.

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Section: Models Of Gas-solid Systemssupporting

confidence: 83%

Section: Models Of Gas-solid Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Determination of the Bed Hydrodynamics by MFIX-PIC in the Biomass Gasification Process of Circulating Fluidized Bed

Altınsoy

KEÇECİ

Topal

2021

Gazi University Journal of Science Part A: Engineering and Innovation

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“…The effects of the turbulence were ignored in most of previous numerical studies under different operating conditions, e.g., bubbling fluidized beds, − spouted beds, , and circulating fluidized beds . In several studies, − the large eddy simulation (LES) models were adopted to account for the turbulence of fluid phase. Nevertheless, there is still a lack of thorough understanding on the role of turbulence in the fluidized bed.…”

Section: Mathematical Methodsmentioning

confidence: 99%

Computational Fluid Dynamics/Discrete Element Method Investigation on the Biomass Fast Pyrolysis: The Influences of Shrinkage Patterns and Operating Parameters

Luo

Wang

et al. 2018

Ind. Eng. Chem. Res.

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In this study, we present a computational fluid dynamics/discrete element method (CFD-DEM) framework for biomass fast pyrolysis. With model validations against experiments, the effects of the particle shrinkage and superficial gas velocity on the pyrolysis process in the fluidized bed reactor are investigated. The results show that the shrinkage pattern has minor effect on the product yields, but it greatly affects the entrainment behaviors. It is found that the constant density shrinkage pattern leads to the longest residence time, and the constant size shrinkage pattern results in the shortest residence time. Interestingly, the time that biomass particles stay in the dense region shows a reverse trend. It is demonstrated that the gas velocity has a minor effect on the heat-transfer rate and chemical conversion rate of biomass particles, but it has a profound impact on the distributions of solid concentration and heterogeneous reactions.

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“…Most of the simulations focused on the riser by isolating the riser from the system and setting inlet solids circulating rates G s 1) as a constant. Recently, full‐loop simulation emerged as a promising research method for the CFB system , which simulates the CFB as a whole dynamic system. In full‐loop simulation, G s is calculated and usually fluctuates over time .…”

Section: Introductionmentioning

confidence: 99%

Full‐Loop Simulation of Gas‐Solids Flow in a Pilot‐Scale Circulating Fluidized Bed

Wang

Shi

et al. 2019

Chem Eng & Technol

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In order to study the system hydrodynamics in a circulating fluidized bed (CFB), a 3D full‐loop simulation was conducted for a pilot‐scale CFB. The Eulerian‐Eulerian two‐fluid model with the kinetic theory of granular theory helped to simulate the gas‐solids flow in the CFB. The system hydrodynamics including pressure balance, vectors of gas and solids, distribution of solids holdup, and instantaneous circulating rates were obtained to get a comprehensive understanding of the system. It was predicted that the main driving force was the pressure drop of the storage tank. The storage height and valve opening were critical operating factors to control the riser operation. The effects of operating conditions including solids circulating rates and superficial gas velocity on the hydrodynamics were investigated to provide guidance for the stable operation of the CFB system.

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High-fidelity simulation of the 3-D full-loop gas–solid flow characteristics in the circulating fluidized bed

Cited by 69 publications

References 55 publications

Determination of the Bed Hydrodynamics by MFIX-PIC in the Biomass Gasification Process of Circulating Fluidized Bed

Determination of the Bed Hydrodynamics by MFIX-PIC in the Biomass Gasification Process of Circulating Fluidized Bed

Computational Fluid Dynamics/Discrete Element Method Investigation on the Biomass Fast Pyrolysis: The Influences of Shrinkage Patterns and Operating Parameters

Full‐Loop Simulation of Gas‐Solids Flow in a Pilot‐Scale Circulating Fluidized Bed

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