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Article

Computational Fluid Dynamics Modelling and Analysis Approach for Estimating Internal Short-Circuiting in Clearwells

1
K-Water Research Institute, K-Water, Yuseong-daero 1689beon-gil, Yuseong-gu, Daejeon 34350, Korea
2
Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Armando Carravetta
Water 2021, 13(13), 1849; https://doi.org/10.3390/w13131849
Received: 3 May 2021 / Revised: 30 June 2021 / Accepted: 30 June 2021 / Published: 3 July 2021
(This article belongs to the Section Hydraulics and Hydrodynamics)
Disinfection is an effective microorganism inactivation method that has contributed historically to decreasing waterborne diseases. It is necessary to improve hydraulic efficiency for ensuring disinfection ability without creating disinfection by-products. However, many hydraulic efficiency indices, which are a type of black-box analyses based on residence time distribution curves, have been used to assess short-circuiting and mixing. We propose a novel index (internal short-circuiting index, ISI) and analysis approach (internal short-circuiting estimation method, ISEM) based on computational fluid dynamics (CFD) modelling for understanding the local hydrodynamics. Then, we implement ISEM to quantify the effect of the clearwell configuration with the different length-to-width and shape ratios on the hydraulic efficiency. As the hydraulic efficiency surrogated by T10/T converges to the maximum value, the ISI values at inlet and outlet reduce rapidly, and the recirculation and dead zones shrink in the channel zones. Thus, the ISI curve changes from a V shape to U shape. The ISEM demonstrates that it is applicable under various conditions and it enables engineers to design clearwells for optimizing the disinfection ability. Furthermore, the CFD model in this study can be combined with machine learning techniques in future studies to extract knowledge for reducing the computational cost. View Full-Text
Keywords: clearwell; internal short-circuiting estimation method (ISEM); computational fluid dynamics; length-to-width ratio; shape ratio; machine learning clearwell; internal short-circuiting estimation method (ISEM); computational fluid dynamics; length-to-width ratio; shape ratio; machine learning
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MDPI and ACS Style

Shin, E.; Ryu, J.; Park, H. Computational Fluid Dynamics Modelling and Analysis Approach for Estimating Internal Short-Circuiting in Clearwells. Water 2021, 13, 1849. https://doi.org/10.3390/w13131849

AMA Style

Shin E, Ryu J, Park H. Computational Fluid Dynamics Modelling and Analysis Approach for Estimating Internal Short-Circuiting in Clearwells. Water. 2021; 13(13):1849. https://doi.org/10.3390/w13131849

Chicago/Turabian Style

Shin, Eunher, Jewan Ryu, and Heekyung Park. 2021. "Computational Fluid Dynamics Modelling and Analysis Approach for Estimating Internal Short-Circuiting in Clearwells" Water 13, no. 13: 1849. https://doi.org/10.3390/w13131849

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