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.