CFD with Evolutionary Optimization for Stormwater Basin Retrofits
Publication: Journal of Environmental Engineering
Volume 147, Issue 7
Abstract
Stormwater basins, which are subject to highly unsteady flows and loads, function as clarifiers for particulate matter (PM) and PM-bound constituents. Quasi-steady flow hydrodynamics in water and wastewater treatment plant units, from grit to contact chambers, are known to impact treatment. In contrast, there is sparse basin design guidance for unsteady hydrodynamics and clarification interactions. Basins can become impaired with needed retrofits. Lumped models, such as surface overflow rate (SOR), are less suitable for complex geometries, hydrodynamics, and loadings. A computational fluid dynamics (CFD) and evolutionary optimization framework as higher-fidelity tools is proposed for relatively shallow basins with permeable baffle retrofits. This study extends previous research and optimizes baffle configuration by further considering routing effects and unsteady loading on clarification. For an influent heterodisperse particle size distribution (PSD), baffles improve PM clarification by 58.8% based on baffle number. Strategically altering the baffle position, length, and angle yields an optimal configuration with improved clarification of 32% in comparison to conventional baffle configurations. Baffle optimization leads to construction costs that are one-third to one-fifth those of conventional baffle configurations.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
The author would like to acknowledge the contribution of Enrico Pecchini and Maria Zanoni from University of Parma for conducting the bench-scale physical modeling of particulate matter separation. This work was supported in part by the Florida DOT under Contract BDV31 977-112.
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Journal of Environmental Engineering
Volume 147 • Issue 7 • July 2021
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© 2021 American Society of Civil Engineers.
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Received: Dec 12, 2020
Accepted: Mar 8, 2021
Published online: May 6, 2021
Published in print: Jul 1, 2021
Discussion open until: Oct 6, 2021
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