LAPSE:2023.36324
Published Article
LAPSE:2023.36324
Mathematical Modelling and CFD Simulation for Oxygen Removal in a Multi-Function Gas-Liquid Contactor
Mengdie Wang, Qianqian Nie, Guangyuan Xie, Zhongchao Tan, Hesheng Yu
July 7, 2023
This paper presents and compares the mathematical models and computational fluid dynamics (CFD) models for degassing of oxygen from water in a laboratory-scale multi-function gas-liquid contactor under various operating conditions. The optimum correlations of the overall volumetric liquid-phase mass transfer coefficient (kLa) are determined by the mathematical models of specific contactors. Both the continuous-reactor model and semi-batch model can evaluate the degassing efficiency with relative errors within ±13%. Similarly, CFD models agree with experimental data with relative errors of ±10% or less. Overall, the mathematical models are deemed easy to use in engineering practice to assist the selection of efficient contactors and determine their optimum operation parameters. The CFD models have a wider applicability, and directly provide the local mass transfer details, making it appropriate for harsh industrial scenarios where empirical correlations for important quantities are unavailable. Combining these two types of models can effectively guide the design, optimization, and operation of the high-throughput degassing system.
Keywords
Computational Fluid Dynamics, degassing, gas-liquid contactor, mass transfer, reactor modelling
Suggested Citation
Wang M, Nie Q, Xie G, Tan Z, Yu H. Mathematical Modelling and CFD Simulation for Oxygen Removal in a Multi-Function Gas-Liquid Contactor. (2023). LAPSE:2023.36324
Author Affiliations
Wang M: Key Laboratory of Coal Processing and Efficient Utilization, Ministry of Education, Xuzhou 221116, China; School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, China
Nie Q: Key Laboratory of Coal Processing and Efficient Utilization, Ministry of Education, Xuzhou 221116, China; School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, China
Xie G: Key Laboratory of Coal Processing and Efficient Utilization, Ministry of Education, Xuzhou 221116, China; School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, China
Tan Z: Department of Mechanical & Mechatronics Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada [ORCID]
Yu H: Key Laboratory of Coal Processing and Efficient Utilization, Ministry of Education, Xuzhou 221116, China; School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou 221116, China; Department of Mechanical & Mechatroni
Journal Name
Processes
Volume
11
Issue
6
First Page
1780
Year
2023
Publication Date
2023-06-11
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr11061780, Publication Type: Journal Article
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LAPSE:2023.36324
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doi:10.3390/pr11061780
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Jul 7, 2023
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Jul 7, 2023
 
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Calvin Tsay
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