LAPSE:2023.11380
Published Article
LAPSE:2023.11380
A Turbulent Mass Diffusivity Model for Predicting Species Concentration Distribution in the Biodegradation of Phenol Wastewater in an Airlift Reactor
February 27, 2023
Abstract
In this study, a three-dimensional CFD transient model is established for predicting species concentration distribution in the biodegradation of phenol in an airlift reactor (ALR). The gas−liquid flow in the ALR is determined by the Euler−Euler method coupled with the standard k-ε model, and the bubble size is predicted by the population balance model (PBM). A turbulent mass diffusivity model is developed to simulate the turbulent mass transfer process and to predict the species concentration distribution. No empirical methods are needed as the turbulent mass diffusivity can be expressed by the concentration variance c2¯ and its dissipation rate εc. A good agreement is found between simulated and experimental results in the literature. It is not reasonable to assume a constant turbulent Schmidt number because the calculated distribution of turbulent mass diffusivity is not identical to that of turbulent viscosity. Finally, the hydrodynamic characteristics and biodegradation performance of the proposed model in a novel ALR are compared with that in the original ALR.
In this study, a three-dimensional CFD transient model is established for predicting species concentration distribution in the biodegradation of phenol in an airlift reactor (ALR). The gas−liquid flow in the ALR is determined by the Euler−Euler method coupled with the standard k-ε model, and the bubble size is predicted by the population balance model (PBM). A turbulent mass diffusivity model is developed to simulate the turbulent mass transfer process and to predict the species concentration distribution. No empirical methods are needed as the turbulent mass diffusivity can be expressed by the concentration variance c2¯ and its dissipation rate εc. A good agreement is found between simulated and experimental results in the literature. It is not reasonable to assume a constant turbulent Schmidt number because the calculated distribution of turbulent mass diffusivity is not identical to that of turbulent viscosity. Finally, the hydrodynamic characteristics and biodegradation performance of the proposed model in a novel ALR are compared with that in the original ALR.
Record ID
Keywords
airlift reactor, biodegradation, Computational Fluid Dynamics, turbulent mass transfer
Subject
Suggested Citation
Li L, Hao R, Jin X, Hao Y, Fu C, Zhang C, Gu X. A Turbulent Mass Diffusivity Model for Predicting Species Concentration Distribution in the Biodegradation of Phenol Wastewater in an Airlift Reactor. (2023). LAPSE:2023.11380
Author Affiliations
Li L: National Engineering & Technological Research Center for Industry Water Treatment, CNOOC Tianjin Chemical Research & Design Institute, Tianjin 300131, China
Hao R: National Engineering & Technological Research Center for Industry Water Treatment, CNOOC Tianjin Chemical Research & Design Institute, Tianjin 300131, China
Jin X: National Engineering & Technological Research Center for Industry Water Treatment, CNOOC Tianjin Chemical Research & Design Institute, Tianjin 300131, China
Hao Y: National Engineering & Technological Research Center for Industry Water Treatment, CNOOC Tianjin Chemical Research & Design Institute, Tianjin 300131, China
Fu C: National Engineering & Technological Research Center for Industry Water Treatment, CNOOC Tianjin Chemical Research & Design Institute, Tianjin 300131, China
Zhang C: National Engineering & Technological Research Center for Industry Water Treatment, CNOOC Tianjin Chemical Research & Design Institute, Tianjin 300131, China
Gu X: National Engineering & Technological Research Center for Industry Water Treatment, CNOOC Tianjin Chemical Research & Design Institute, Tianjin 300131, China
Hao R: National Engineering & Technological Research Center for Industry Water Treatment, CNOOC Tianjin Chemical Research & Design Institute, Tianjin 300131, China
Jin X: National Engineering & Technological Research Center for Industry Water Treatment, CNOOC Tianjin Chemical Research & Design Institute, Tianjin 300131, China
Hao Y: National Engineering & Technological Research Center for Industry Water Treatment, CNOOC Tianjin Chemical Research & Design Institute, Tianjin 300131, China
Fu C: National Engineering & Technological Research Center for Industry Water Treatment, CNOOC Tianjin Chemical Research & Design Institute, Tianjin 300131, China
Zhang C: National Engineering & Technological Research Center for Industry Water Treatment, CNOOC Tianjin Chemical Research & Design Institute, Tianjin 300131, China
Gu X: National Engineering & Technological Research Center for Industry Water Treatment, CNOOC Tianjin Chemical Research & Design Institute, Tianjin 300131, China
Journal Name
Processes
Volume
11
Issue
2
First Page
484
Year
2023
Publication Date
2023-02-06
ISSN
2227-9717
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Original Submission
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PII: pr11020484, Publication Type: Journal Article
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LAPSE:2023.11380
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https://doi.org/10.3390/pr11020484
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[v1] (Original Submission)
Feb 27, 2023
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Feb 27, 2023
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