Emulsion phase expansion of Geldart a particles in bubbling fluidized bed methanation reactors: A CFD–DEM study

Zhang, Yuli; Ye, Mao; Zhao, Yinfeng; Gu, Tiantian; Xiao, Rui; Liu, Zhongmin

doi:10.1016/j.powtec.2015.01.064

Cited by 23 publications

(7 citation statements)

References 48 publications

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“…Computational fluid dynamics coupled with the discrete element method (CFD-DEM) 1,2 is widely used in the simulation of gas-solids flows, such as bubbling fluidized bed, 3 spouting fluidized bed, 4 cyclone separators, 5 circulating fluidized bed (CFB), 6 heat transfer, 7 and chemical reactions. 8 In CFD-DEM, the gas phase is solved on a fixed computational mesh while Lagrange tracking of particles follows Newton's laws of motion.…”

Section: Introductionmentioning

confidence: 99%

Method to estimate uncertainty associated with parcel size in coarse discrete particle simulation

Benyahia

2018

AIChE Journal

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Coarse grained particle methods significantly reduce the computation cost of large‐scale fluidized bed simulation by lumping many real particles into a computation parcel. This research provides a method to estimate the errors associated with parcel size in large‐scale fluidized bed simulations. This uncertainty is first quantified in small scale domains by comparing results of discrete particle method with that employing coarse parcels of different sizes. Then, this uncertainty is correlated with parcel size and simulation domains consisting of a simple homogeneous cooling system and more complex bubbling and circulating fluidized beds. These correlations allow us to accurately estimate the uncertainty in large‐scale fluidized beds based solely on data obtained in smaller systems. The ability to estimate model‐related uncertainty in larger systems makes this method relevant for industrial applications. © 2018 American Institute of Chemical Engineers AIChE J, 64: 2340–2350, 2018

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Section: Introductionmentioning

confidence: 99%

Method to estimate uncertainty associated with parcel size in coarse discrete particle simulation

Benyahia

2018

AIChE Journal

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“…where the non-dimensional adsorption constants 𝐾 1 and 𝐾 2 in the denominator are 1.77 and 0.66, respectively, for the herein considered constant reactor temperature of 600 K and pressure of 1 bar [11] [51]), a temperature close to our adopted 600 K. The same approach was also used in the 600 K isothermal CO methanation CFD simulations by Zhang et al [52]. The Boudouard reaction…”

Section: 𝑏 𝑑 𝑘δ𝑦 𝐷 𝑑𝑚mentioning

confidence: 99%

A Pore-Level 3d Lattice Boltzmann Simulation of Mass Transport and Reaction in Catalytic Particles Used for Methane Synthesis

Mantzaras¹,

Khatoonabadi²,

Prasianakis³

2023

Preprint

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“…Heat removal by the immersed horizontal tube can overcome this problem in a large-scale reactor, but this method has rarely been reported in the literature. In addition, in the literature, isothermal flow assumption has been adopted, and the heat removal is not well described in the simulation of fluidized bed methanation process. − …”

Section: Introductionmentioning

confidence: 99%

Two-Dimensional Computational Fluid Dynamics Simulation of Heat Removal in Fluidized Bed Methanation Reactors from Coke Oven Gas Using Immersed Horizontal Tubes

Agarwal

Yang

2019

Ind. Eng. Chem. Res.

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The two-fluid model and kinetic theory of granular flow coupled with a local structure-dependent drag model and improved reaction kinetics are used to simulate the heat removal in a fluidized bed methanation reactor from coke oven gas using immersed horizontal tubes. By implementing the equilibrium calculation and the computational fluid dynamics simulations based on isothermal flow assumptions, the optimal operating temperature range of the methanation system is determined as 400−420°C. The adiabatic simulations show that the temperature in the reactor will increase rapidly if the heat released by the reactions is not removed, thereby resulting in poor reactor performance. The performance and, in particular, the temperature of the reactor can be controlled at the desired condition by introducing the immersed horizontal tubes in the reactor for heat removal. The analysis of various geometric parameters indicates that the heat removal efficiency of a single tube is a function of its position in the reactor.

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Emulsion phase expansion of Geldart a particles in bubbling fluidized bed methanation reactors: A CFD–DEM study

Cited by 23 publications

References 48 publications

Method to estimate uncertainty associated with parcel size in coarse discrete particle simulation

Method to estimate uncertainty associated with parcel size in coarse discrete particle simulation

A Pore-Level 3d Lattice Boltzmann Simulation of Mass Transport and Reaction in Catalytic Particles Used for Methane Synthesis

Two-Dimensional Computational Fluid Dynamics Simulation of Heat Removal in Fluidized Bed Methanation Reactors from Coke Oven Gas Using Immersed Horizontal Tubes

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