Scale‐up strategy for the jetting fluidized bed using a CFD model based on two‐fluid theory

Wang, Qicheng; Zhang, Kai; Brandani, Stefano; Jiang, Jianchun

doi:10.1002/cjce.20148

Cited by 11 publications

(4 citation statements)

References 42 publications

(61 reference statements)

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“…As described in the introduction, much research has been done to investigate the characteristics of hydrodynamics in the reactor scale‐up process through either the hydrodynamics similarity approach or using the CFD simulation method. A set of hydrodynamics scale‐up parameters in the bubbling bed was derived by Horio based on the governing equation of bubbles and interstitial gas dynamics.…”

Section: Resultsmentioning

confidence: 99%

“…Additionally, Glicksman and He provided a set of hydrodynamics scaling parameters for the spouting bed. Utilizing the scaling parameters of hydrodynamics for bubbling beds and spouting beds, Wang modified the scaling parameters to better understand the scale‐up of jetting fluidized beds on the basis of a hydrodynamic two‐fluid model combined with the CFD simulation method. Thus, in this article, the hydrodynamic scaling parameters proposed by Wang were used to analyze the hydrodynamics characteristics of S and L. The physical parameters and dimensionless groups of S and L are shown in Table .…”

Section: Resultsmentioning

confidence: 99%

“…The calculation results cannot be obtained due to a rapid growth of the number of Navier‐Stokes differential equations. In another words, the CFD simulation can obtain results for the kilogram scale but not for the kiloton scale because of the corresponding mesh count for the commercial‐scale reactor will be appreciably larger than that for the smaller‐scale reactors, especially for coal gasification processes . During the coal gasification process, not only the hydrodynamics but also the coal particle size, density, and shape, change with the coal gasification reactions, making the gasification process much more complex than the CFD calculations.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Influence of ash agglomerating fluidized bed reactor scale‐up on coal gasification characteristics

et al. 2014

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To study the influence of fluidized-bed reactor scale-up on coal gasification characteristics, a model of the ash agglomerating fluidized-bed reactor has been developed using an equivalent reactor network method. With the reactor network model, the scale-up effects of a gasifier were studied in terms of the characteristics of the chemical reactions in the jet zone, the annulus dense-phase zone and the freeboard zone. Results showed that the changes occurred in the inequality proportion of the volume of the jet zone during the reactor scale-up. Taking into consideration the utilization of a portion of the backflow gas, the expansion of the jet zone volume and the coal particle residence time, the temperature of the jet zone was increased from 1592 to 1662 K. Also, both the annulus dense-phase zone temperature and the freeboard zone temperature decreased, causing subsequent decrease in the carbon conversion efficiency.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Influence of ash agglomerating fluidized bed reactor scale‐up on coal gasification characteristics

et al. 2014

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“…Detailed phenomenon can be implemented in CFD models with which the scale-up calculation can be performed much easier and more effective in comparison with the traditional ways. [1,5] There are quite number of CFD-assisted scale-up studies in literatures for different processes such as fermentation, [6][7][8] coal combustion, gasification and burners, [9][10][11][12] bioreactors and bubble columns, [1,5,[13][14][15][16] gas cleaning and upgrading, [17,18] spouted and fluidized beds, [11,19,20] and crystallization reactors. [21] To mention few, Azuhata et al [9] have performed a CFD-based analysis of a coal burner to scale up from laboratory to pilot scale with 25 times higher coal feed rate.…”

Section: Introductionmentioning

confidence: 99%

Off-Gas System Scale-Up of HIsarna Iron-Making Process: A CFD-Based Approach

Hosseini

Hage

Duiker

et al. 2022

Metall Mater Trans B

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For all industrial applications, predicting system characteristics and behavior plays a vital role before constructing costly and complex multi-physic systems. Correct and reliable predictions become even more important once the aim is to go from small- to large-scale processes to establish an industrial demonstrations. In this study, a CFD-based scale-up of HIsarna off-gas system based on the Eulerian–Lagrangian approach is investigated and detailed step in scale-up procedure is discussed. A three-dimensional CFD model is developed and validated based on the available pilot scale data and used to design and scale up the post-combustion chamber (also known as reflux chamber). Detailed kinetics for volumetric and gas–solid reactions are incorporated in validated CFD model with a special attention to the wall boundary condition and modeling. The effect of reflux chamber geometry, oxygen injection ports, oxygen injection flowrate, isolation wall thickness, and inlet flue gas composition on different system characteristics such as heat loss through the wall, CO–H2–carbon mixture conversion, flue gas, and wall temperature are investigated. The aim of the scaled up geometry, like pilot scale, is to achieve full combustion of unwanted species inside the reflux chamber to assure zero emissions from the off-gas system. Compared to the pilot scale, the scaled up reflux chamber is capable of handling and removing higher amount of unwanted species coming from the main reactor and therefore lower CO–H2 and carbon particle emissions, mainly due to a larger size which provides larger volume and residence time for volumetric and gas–solid reaction to proceed.

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CFD simulation of pressure fluctuation characteristics in the gas-solid fluidized bed: Comparisons with experiments

Wang

Zhang

2011

Pet. Sci.

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A simple hydrodynamic model based on two-fluid theory, taking into account the effect of discrete particles on both the gas-and solid-phase momentum equations, was used to numerically investigate the pressure fl uctuation characteristics in a gas-solid fl uidized bed with the aid of CFX 4.4, a commercial CFD software package, by adding user-defi ned Fortran subroutines. Numerical simulations together with typical experimental measurements show that pressure fluctuations originate above the distributor when a gas pulse is injected into the fl uidized bed. The pressure above the bubble gradually increases due to the presence of a rising bubble. When the bubble passes through the bed surface, the pressure near the bed surface gradually decreases to a lower value. Moreover, the pressure signals in the bubbling fluidized beds show obviously periodic characteristics. The major frequency of pressure fluctuations at the same vertical position is affected slightly by the operating gas velocity, and the amplitude of pressure fl uctuations is related to both the operating gas velocity and the vertical height. In this study, the infl uence of the operating gas velocity on the pressure wave propagation velocity can be ignored, and only two peak frequencies in the power spectrum of the pressure fl uctuations are observed which are associated with the bubble formation above the distributor and its eruption at the bed surface.pressure fl uctuations, pressure wave velocity, pressure fl uctuation frequency CFD simulation of pressure fl uctuation characteristics in the gas-solid fl uidized bed: Comparisons with experiments

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Scale‐up strategy for the jetting fluidized bed using a CFD model based on two‐fluid theory

Cited by 11 publications

References 42 publications

Influence of ash agglomerating fluidized bed reactor scale‐up on coal gasification characteristics

Influence of ash agglomerating fluidized bed reactor scale‐up on coal gasification characteristics

Off-Gas System Scale-Up of HIsarna Iron-Making Process: A CFD-Based Approach

CFD simulation of pressure fluctuation characteristics in the gas-solid fluidized bed: Comparisons with experiments

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