Combination of Field Testing and CFD Modeling for Optimum Clarifier Design

Chu, Irene; Griborio, Alonso; Pitt, Paul; Ahmad, Meei-Lih; Chiu, Guoji; Desai, Jignesh; Ling, Eugene

doi:10.2175/193864715819538804

Cited by 2 publications

(4 citation statements)

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“…The controversy over traditional design parameters such as SOR and SLR is of continuing interest among CFD researchers and has resulted in an increased used of CFD models by practical engineers. A number of CFD modeling case studies have been presented at the Water Environment Federation's Annual Technical Exhibition and Conference (WEFTEC) (Chu et al, ; Esping et al, ; Griborio & McCorquodale, ; Griborio et al, ; Winkler et al, ).…”

Section: Applications Of Cfd Modeling Research and Engineering Practicementioning

confidence: 99%

“…An alternative method which is widely used in field and consulting projects (e.g. Chu et al, ; Esping et al, ; Griborio & McCorquodale, ; Winkler et al, ) is to correlate r h with easily measurable parameters in WWTPs (Daigger et al, ), including SVI, stirred sludge volume index (SSVI), and diluted sludge volume index (DSVI).…”

Section: Applications Of Cfd Modeling Research and Engineering Practicementioning

confidence: 99%

“…McCorquodale et al () extended 2D models to a Quasi‐3D (Q3D) model and verified the model results with the data from three different treatment plants. Since then, the Quasi‐3D model becomes the most widely used CFD tool for SST evaluation (e.g., Chu et al, ; Esping, Lfft, & Shaposka, ; Griborio & McCorquodale, ; Winkler, Kelly, Schauer, & Menniti, ). Compared with other early models developed before the 2000s, Q3D is more advanced and predicts accurate results for SSTs with symmetrical geometries.…”

Section: Introductionmentioning

confidence: 99%

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Development and applications in computational fluid dynamics modeling for secondary settling tanks over the last three decades: A review

Gao

Stenstrom

2019

Water Environment Research

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Secondary settling tanks (SSTs) are a crucial process that determines the performance of the activated sludge process. However, their performance is often far from satisfactory. In the last 30 years, computational fluid dynamics (CFD) has become a robust and cost-efficient tool for designing new SSTs, modifying the geometries of existing SSTs and improved control techniques in wastewater treatment plants. The first part of this review paper discusses the different approaches to model the motion of particles in SSTs. The applications of different multiphase approaches and the widely applied single-phase approach in different SST studies are reviewed. The second part reviews current CFD research and engineering practice, focusing on the formation and the effect of density currents, effects of different design variables, parameter uncertainties in modeling structures, and atmospheric conditions. Finally, challenges and future improvements of sub-models (sludge settling, rheology, turbulence, and flocculation) in the SST model framework are identified. • Practitioner points• The first journal review for the CFD applications in SSTs over the last decade. • The controversy over the relationship between SOR and SST performance can be largely explained by the prediction of the CFD model. • Density decoupling in the turbulence model is possible for well-baffled SSTs. • The relative importance of three modeling parameters is summarized. • Recommendations for future data collection are provided. • Key wordscomputational fluid dynamics; density-driven flow; secondary settling tank; wastewater treatment

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Section: Applications Of Cfd Modeling Research and Engineering Practicementioning

confidence: 99%

Section: Applications Of Cfd Modeling Research and Engineering Practicementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development and applications in computational fluid dynamics modeling for secondary settling tanks over the last three decades: A review

Gao

Stenstrom

2019

Water Environment Research

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“…Esping et al (2015) used 2D CFD modeling to retrofit and up-rating of existing secondary clarifiers based on baffling, launder, and sludge removal improvements Chu et al (2015). combined secondary clarifier 2D CFD modeling with dye testing and stress field testing to determine optimal configuration for inlet ports and center well configuration Siczka et al (2015).…”

mentioning

confidence: 99%