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Computational fluid dynamics (CFD) modeling of removal of contaminants of emerging concern in solar photo-Fenton raceway pond reactors

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posted on 27.11.2020, 11:45 by Rodrigo Peralta-Muniz-Moreira, Alejandro Cabrera Reina, Paula Soriano Molina, Jose Antonio Sánchez Pérez, Gianluca Li-PumaGianluca Li-Puma
The impact of mixing and hydrodynamics on the removal of contaminants of emerging concern (CECs) detected in a secondary WWTP effluent by the solar photo-Fenton process in a pilot scale Raceway Pond Reactor (RPR) was investigated by computational fluid dynamics (CFD). The CFD model incorporated the solar photo-Fenton CECs oxidation kinetics at neutral pH with Fe3+-EDDS, the radiation transport through the water, and the turbulent flow field produced by a paddle wheel mixer. The fluid dynamics was solved by a transient-multiphase flow model (Volume of Fluid with Sliding Mesh Model) and by a steady-state momentum source domain (SD) model. Experimental RPR mixing time and CECs removal under transient conditions validated the models. The computationally faster SD model predicted the CECs removal varying the paddle wheel rotational speed, the solar irradiance, and fluid residence time. Deviations from an ideal CSTR were significative (>10%) when the CECs half-life/mixing time ratios were >1, while residence time had minor influence. The mixing effects were amplified in a scaled-up RPR and treatment capacity decreased 10% compared with a CSTR. Overall, this study reveals that the design of hydrodynamics in large-scale RPRs must be carefully examined to reduce power consumption while increasing mixing performance.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil (Finance Code 001)

LIFE ULISES project funded by the European Union under the LIFE Financial Programme Grant Agreement No. LIFE18 ENV/ES/000165

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Chemical Engineering

Published in

Chemical Engineering Journal

Volume

413

Publisher

Elsevier

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Chemical Engineering Journal and the definitive published version is available at https://doi.org/10.1016/j.cej.2020.127392.

Acceptance date

13/10/2020

Publication date

2020-10-24

Copyright date

2020

ISSN

1385-8947

Language

en

Depositor

Prof Gianluca Li Puma. Deposit date: 26 November 2020

Article number

127392