LAPSE:2023.22411
Published Article
LAPSE:2023.22411
CFD Simulation of Aeration and Mixing Processes in a Full-Scale Oxidation Ditch
Thomas Höhne, Tural Mamedov
March 24, 2023
This study aims to build a computational fluid dynamics (CFD) model that can be used to predict fluid flow pattern and to analyse the mixing process in a full-scale OD. CFD is a widely used numerical tool for analysing, modelling and simulating fluid flow patterns in wastewater treatment processes. In this study, a three-dimensional (3D) computational geometry was used, and the Eulerian-Eulerian multiphase flow model was built. Pure water was considered as the continuous phase, whereas air was modelled as the dispersed phase. The Shear Stress Transport (SST) turbulence model was specified which predicts turbulence eddies in free stream and wall-bounded region with high accuracy. The momentum source term approach and the transient rotor-stator approach were implemented for the modelling of the submersible agitators. The hydrodynamic analysis was successfully performed for four different scenarios. In order to prevent the incorrect positioning of the submerged agitators, thrust analysis was also done. The results show that the minimum required water velocity was reached to maintain the solid particles suspended in the liquid media and adequate mixing was determined.
Keywords
Computational Fluid Dynamics, hydrodynamics, multiphase flow, oxidation ditch
Suggested Citation
Höhne T, Mamedov T. CFD Simulation of Aeration and Mixing Processes in a Full-Scale Oxidation Ditch. (2023). LAPSE:2023.22411
Author Affiliations
Höhne T: Institute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), 01328 Dresden, Germany
Mamedov T: Department of Chemical Engineering, The Polytechnic University of Milan, 20133 Milan, Italy
Journal Name
Energies
Volume
13
Issue
7
Article Number
E1633
Year
2020
Publication Date
2020-04-02
Published Version
ISSN
1996-1073
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Original Submission
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PII: en13071633, Publication Type: Journal Article
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LAPSE:2023.22411
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doi:10.3390/en13071633
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Mar 24, 2023
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Mar 24, 2023
 
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