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Frontiers of Chemical Science and Engineering

ISSN 2095-0179

ISSN 2095-0187(Online)

CN 11-5981/TQ

Postal Subscription Code 80-969

2018 Impact Factor: 2.809

Front. Chem. Sci. Eng.    2021, Vol. 15 Issue (3) : 579-590    https://doi.org/10.1007/s11705-020-1953-6
RESEARCH ARTICLE
Development of a hydrodynamic model and the corresponding virtual software for dual-loop circulating fluidized beds
Shanwei Hu1, Xinhua Liu1,2()
1. State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
2. Dalian National Laboratory for Clean Energy, Dalian 116023, China
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Abstract

Dual-loop circulating fluidized bed (CFB) reactors have been widely applied in industry because of their good heat and mass transfer characteristics and continuous handling ability. However, the design of such reactors is notoriously difficult owing to the poor understanding of the underlying mechanisms, meaning it has been heavily based on empiricism and stepwise experiments. Modeling the gas-solid CFB system requires a quantitative description of the multiscale heterogeneity in the sub-reactors and the strong coupling between them. This article proposed a general method for modeling multi-loop CFB systems by utilizing the energy minimization multiscale (EMMS) principle. A full-loop modeling scheme was implemented by using the EMMS model and/or its extension models to compute the hydrodynamic parameters of the sub-reactors, to achieve the mass conservation and pressure balance in each circulation loop. Based on the modularization strategy, corresponding interactive simulation software was further developed to facilitate the flexible creation and fast modeling of a customized multi-loop CFB reactor. This research can be expected to provide quantitative references for the design and scale-up of gas-solid CFB reactors and lay a solid foundation for the realization of virtual process engineering.

Keywords multi-loop circulating fluidized bed      mathematical modeling      energy minimization multiscale      virtual fluidization      mesoscale structure     
Corresponding Author(s): Xinhua Liu   
Just Accepted Date: 28 July 2020   Online First Date: 21 September 2020    Issue Date: 10 May 2021
 Cite this article:   
Shanwei Hu,Xinhua Liu. Development of a hydrodynamic model and the corresponding virtual software for dual-loop circulating fluidized beds[J]. Front. Chem. Sci. Eng., 2021, 15(3): 579-590.
 URL:  
https://academic.hep.com.cn/fcse/EN/10.1007/s11705-020-1953-6
https://academic.hep.com.cn/fcse/EN/Y2021/V15/I3/579
Fig.1  The EMMS model and its extensions.
Component Literature Correlations
Cyclone [24] Δp cy=0.5ζ?ρgu cy2
Gas distributor [25] Δp gd=?0.5ζρ gu 02/g
Connection pipe [26] Δp cp=ρp(1ε)gH+0.057 GsgLg D+ Gs22ρp
Butterfly valve [27] Δp v=12ρv(1 εmf)?( G sv Cdφ)2
Tab.1  Correlations for other typical CFB components
Fig.2  Computation scheme for multi-loop CFB systems.
Fig.3  Typical windows in the software: (a) module definition; (b) project creation.
Fig.4  Flow chart of the software Virtual Fluidization v1.0.
Fig.5  Modeling and visualization of steady-state hydrodynamics in an industrial-scale CFB system: (a) schematic of the CFB system adapted from Herbert and Reh [28]; (b) project creation for the full-loop modeling of the CFB system; (c) dynamic display of solids concentration distribution at various gas velocities.
Fig.6  Schematic diagram of the dual-loop CFB reactor adapted from Wang [2].
Fig.7  Influence of the superficial gas velocity in section I on solids circulating rates.
Fig.8  Influence of the superficial gas velocity in section I on pressure drops.
Fig.9  Axial voidage profile in the riser under different operating conditions.
Fig.10  Radial voidage distribution in the riser: (a) radial voidage profile at various heights; (b) error analyses.
a acceleration, m?s?2
Cd constant
D diameter, m
db bubble diameter, m
f volume fraction of the clusters
fb volume fraction of the bubble phase
Gs solids circulation rate or solids flux, kg?m?2?s
g gravity acceleration, m?s?2
H height, m
Im solid inventory, kg
Ms mass flow rate, kg?s?1
Ngs, Nst mass-specific energy dissipation rate for suspending and transporting particles, J?kg?1?s
Ngs0, Nst0 normalized Ngs or Nst
NT total energy dissipation rate with respect to unit mass of particles, J?kg?1?s
r, R radius, m
Us superficial velocity, m?s?1
Wgs, Wst volume-specific energy dissipation rate for suspending and transporting particles, J?m?3?s
Δp pressure drop, kPa
εr average voidage between zero and r
e voidage
j degree of valve opening
m shear viscosity, Pa?s
r density, kg?m?3
t interfacial shear stress, N?m?2
z empirical coefficient
  
b bubble phase
c dense phase
e emulsion phase
f dilute phase
g gas
i interphase
max maximum
mf minimum fluidization
p particle
r radial location
w wall
z axial coordinate
  
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