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CFD and experimental model studies for water disinfection tanks with low Reynolds number flows

Rauen, William Bonino, Lin, BinLiang ORCID: https://orcid.org/0000-0001-8622-5822, Falconer, Roger Alexander ORCID: https://orcid.org/0000-0001-5960-2864 and Teixeira, Edmilson C. 2007. CFD and experimental model studies for water disinfection tanks with low Reynolds number flows. Chemical Engineering Journal 137 (3) , pp. 550-560. 10.1016/j.cej.2007.05.011

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Abstract

With the aim of optimising the design of water disinfection tanks through numerical model simulations, results are reported herein of refinements made to a computational fluid dynamics (CFD) code, integrated with scaled hydraulics laboratory experiments, of the flow processes in baffled chlorine contact tanks (CCT). Such chemical reactors are typically used in most water treatment systems worldwide to provide the means for disinfecting water supply. New experimental results obtained for key flow features of a physical CCT model have been used to validate the corresponding CFD predictions. The CFD simulations were performed using an improved low Reynolds number k– model to account for relatively low turbulence levels, similar to those occurring in the CCT, and which can also be found in other chemical reactors—particularly at the laboratory model scale. Good agreement was obtained between the CFD predictions and the experimentally measured data, with the modified CFD code predicting the size of a typical mixing zone to within 90% accuracy and giving good agreement with the measured turbulence distribution. The CFD modelling concepts validated herein have ideal potential for use in the simulation of mixing processes and the design of water disinfection tanks in the field and at the laboratory scale as well.

Item Type: Article
Status: Published
Schools: Engineering
Uncontrolled Keywords: Simulation and optimisation; Water disinfection tanks; CFD; Flow and mixing processes; Low Reynolds number flows; k– models; Acoustic Doppler velocimetry
Publisher: Elsevier
ISSN: 1385-8947
Last Modified: 17 Oct 2022 09:44
URI: https://orca.cardiff.ac.uk/id/eprint/5462

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