Published July 2019 | Version v1
Journal article

Numerical studies of mass transfer performance in fluidized beds of binary mixture

  • 1. School of Energy Science and Engineering, Harbin Institute of Technology, Harbin, 150001 (China)

Description

Highlights: • The Multi-fluid model is applied to mass transfer performance in fluidized beds. • Model prediction is compared with experimental result. • Effect of segregation of binary mixture on mass transfer performance is evaluated. • Dependence of mass transfer on operating conditions is discussed. -- Abstract: The steam absorption process in a fluidized bed of binary mixture is investigated to study the mass transfer performance of active particles surrounding inert particles by means of CFD approaches. A bubble-based drag model is incorporated to the multi-fluid model to account for the bubble effect on mixing and segregation behaviors of binary mixture in a fluidized bed system. The predictions using different drag models are compared with experimental results. The effect of mixing and segregation behaviors of inert particles and active particles on mass transfer performance is evaluated. The sensitivity of mass transfer process to operating conditions is also analyzed. The results reveal that the bubble-based drag model can give a better prediction with measured data. The enhancement of mixing degree of inert particles and active particles can promote the mass transfer performance.

Additional details

Identifiers

DOI
10.1016/j.applthermaleng.2019.03.036;
PII
S1359431118337669;

Publishing Information

Journal Title
Applied Thermal Engineering
Journal Volume
158
Journal Page Range
vp.
ISSN
1359-4311
CODEN
ATENFT

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55003662
Subject category
S42: ENGINEERING;
Descriptors DEI
ABSORPTION; BINARY MIXTURES; BUBBLES; COMPUTERIZED SIMULATION; FLUID MECHANICS; FLUIDIZED BEDS; MASS TRANSFER; NUMERICAL ANALYSIS
Descriptors DEC
DISPERSIONS; MATHEMATICS; MECHANICS; MIXTURES; SIMULATION; SORPTION

Optional Information

Copyright
Copyright (c) 2019 Elsevier Ltd. All rights reserved.