RESEARCH ARTICLE

Numerical modeling of mass transfer processes coupling with reaction for the design of the ozone oxidation treatment of wastewater

  • Hong Li 1,2 ,
  • Fang Yi 1,2 ,
  • Xingang Li 1,2 ,
  • Xin Gao , 1,2
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  • 1. School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
  • 2. National Engineering Research Center of Distillation Technology, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, China

Received date: 23 Feb 2020

Accepted date: 25 May 2020

Published date: 15 Jun 2021

Copyright

2020 Higher Education Press

Abstract

A computational model for an ozone oxidation column reactor used in dyeing wastewater treatment is proposed to represent, simulate, and predict the ozone bubble process. Considering the hydrodynamics, mass transfer, and ozone oxidation reaction, coupling modeling can more realistically calculate the ozone oxidation bubble process than the splitting methods proposed in previous research. The modeling is validated and shows great consistency with experimental data. The verified model is used to analyze the effect of operating conditions, such as the initial gas velocity and the ozone concentration, and structural conditions, such as multiple gas inlets. The ozone consumption is influenced by the gas velocity and the initial ozone concentration. The ozone’s utilization decreases with the increasing gas velocity while nearly the same at different initial ozone concentrations. Simulation results can be used in guiding the practical operation of dyeing wastewater treatment and in other ozonation systems with known rate constants in wastewater treatment.

Cite this article

Hong Li , Fang Yi , Xingang Li , Xin Gao . Numerical modeling of mass transfer processes coupling with reaction for the design of the ozone oxidation treatment of wastewater[J]. Frontiers of Chemical Science and Engineering, 2021 , 15(3) : 602 -614 . DOI: 10.1007/s11705-020-1963-4

Acknowledgements

The authors are grateful for the financial support from the National Key Research and Development Program of China (Grant No. 2018YFB0604900), and the Major Science and Technology Program for Water Pollution Control and Treatment (Grant No. 2015ZX07202-013).

Electronic Supplementary Material

Supplementary material is available in the online version of this article at https://doi.org/10.1007/s11705-020-1963-4 and is accessible for authorized users.
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