Computational fluid dynamics simulation as a tool for optimizing the hydrodynamic performance of membrane bioreactors

Jin, Yan; Liu, Cheng-Lin; Song, Xingfu; Yu, Jianguo

doi:10.1039/c9ra06706j

Cited by 9 publications

(2 citation statements)

References 36 publications

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“…This module is known for computing turbulent flow by evaluating the kinetic energy (k) and the turbulent dissipation (ε). The achievable k-ε modulus is widely used in turbulence models in research or industrial applications because it provides better results and reduces the number of computations in turbulent flow [20].…”

Section: Physical Modelmentioning

confidence: 99%

Numerical Computation of Hydrodynamic Characteristics of an Automated Hand-Washing System

Le,

Vuong,

Phung

2023

Computation

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The aim of this study is to develop a physical model and investigate the bactericidal effect of an automated hand-washing system through numerical computation, which is essential in areas affected by COVID-19 to ensure safety and limit the spread of the pandemic. The computational fluid dynamics approach is used to study the movement of the solution inside the hand-washing chamber. The finite element method with the k-ε model is applied to solve the incompressible Navier–Stokes equations. The numerical results provide insights into the solution’s hydrodynamic values, streamlines, and density in the two cases of with a hand and without a hand. The pressure and mean velocity of the fluid in the hand-washing chamber increases when the inlet flow rates increase. When the hand-washing chamber operates, it creates whirlpools around the hands, which remove bacteria. In addition, the liquid inlet flow affects the pressure in the hand-washing chamber. The ability to predict the hydraulic and cleaning performance efficiencies of the hand-washing chamber is crucial for evaluating its operability and improving its design in the future.

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Section: Physical Modelmentioning

confidence: 99%

Numerical Computation of Hydrodynamic Characteristics of an Automated Hand-Washing System

Le,

Vuong,

Phung

2023

Computation

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“…In contrast, the turbulent energy dissipation rate is a microscopic indicator that directly evaluates the turbulence intensity and can directly reflect the magnitude of the hydrodynamics. In recent years, computational fluid dynamics (CFD) models have been widely used in studying the hydrodynamic characteristics of bioreactors (Ali et al 2019;Zhu et al 2018;Jin et al 2019). Wodołażski (2020) used CFD models to analyze the effects of agitator speed and air flow rate on biomass growth in bioreactors.…”

Section: Introductionmentioning

confidence: 99%

Recommended turbulent energy dissipation rate for biomass and lipid production of Scenedesmus obliquus in an aerated photosynthetic culture system

Yang

et al. 2020

Environ Sci Pollut Res

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Effects of turbulent energy dissipation rate (increased from 1.28 × 10 −6 to 1.67 × 10 −5 m 2 s −3) on Scenedesmus obliquus biomass and lipid accumulation at different aeration rates (0.3, 0.6, 0.9, 1.2, and 1.5 L min −1) were investigated. The turbulent energy dissipation rate was calculated by CFD model simulation. When the turbulent energy dissipation rate increased to 7.30 × 10 −6 m 2 s −3 , the biomass and lipid productivity increased gradually, and finally reached their maximum values of 1.11 × 10 7 cells mL −1 and 16.0 mg L −1 day −1 , respectively. When it exceeded 7.30 × 10 −6 m 2 s −3 , the biomass and lipid productivity showed a decreasing trend. Therefore, the most favorable turbulent energy dissipation rate for S. obliquus growth and lipid accumulation was 7.30 × 10 −6 m 2 s −3 .

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Computational Fluid Dynamics: Fundamentals and Applications in the Design and Optimization of Various Bioreactors

Jujjavarapu,

Kumar,

Gupta

2024

Computational Fluid Dynamics Applications in Bio and Biomedical Processes

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Computational fluid dynamics simulation as a tool for optimizing the hydrodynamic performance of membrane bioreactors

Abstract: The hydrodynamic properties and shear stresses experienced by a membrane bioreactor (MBR) are directly related to its rate of membrane fouling.

Cited by 9 publications

References 36 publications

Numerical Computation of Hydrodynamic Characteristics of an Automated Hand-Washing System

Numerical Computation of Hydrodynamic Characteristics of an Automated Hand-Washing System

Recommended turbulent energy dissipation rate for biomass and lipid production of Scenedesmus obliquus in an aerated photosynthetic culture system

Computational Fluid Dynamics: Fundamentals and Applications in the Design and Optimization of Various Bioreactors

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