Influence of Aeration Rates on Oxygen Mass
Transfer and Flow- Field in a Microporous
Aeration System

Lü, Cheng; Cheng, Wen; Li, Zhen; Wang, Min; Liu, Ji‐Kai

doi:10.15244/pjoes/130571

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…Because of its advantages of simple operation and low cost, it has been widely used. Microporous aeration has the advantage of high oxygen utilization rate because of the smaller bubble size, which leads to its longer residence time and larger gas–liquid contact area with water, and it has been applied in the rehabilitation of various municipal and industrial wastewaters and has achieved good results. , Previous investigations showed that the water restoration effect is closely related to the oxygen mass transfer process. , The linear microporous hose aeration applied in Tennessee Valley has an oxygen utilization rate of over 90% in deep water; , however, the oxygen utilization rate is only about 15% with a relatively shallow water depth (2–5 m), which limits the application of the microporous aeration technology. Therefore, how to improve the oxygen mass transfer efficiency of microporous aeration is an urgent problem to be solved.…”

Section: Introductionmentioning

confidence: 99%

Influence of Aeration Microporous Aperture on Oxygen Mass Transfer Efficiency in Terms of Bubble Motion Flow Field

Wen

Zhou

et al. 2021

ACS Omega

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Microporous aeration has been widely used to restore eutrophic water bodies. The gas–liquid mass transfer in the aeration process has a significant influence on the improvement of water quality. Therefore, the influence mechanism of oxygen mass transfer is worth studying. However, the influence of bubble movement characteristics on oxygen mass transfer has not been systematically studied. Thus, the present study explored the influence mechanism of microporous apertures on oxygen mass transfer in terms of bubble motion characteristics by investigating the oxygen mass transfer process and the feature of bubble movement under different aeration microporous aperture sizes. The results showed that the mass transfer efficiency was reduced as the micropore aperture increased from 200 to 400 μm. and the reduction rate was 7.17% when the aperture increased from 200 to 300 μm, which was lower than that from 300 to 400 μm (19.17%). Furthermore, the micropore aperture showed a positive correlation with the time-averaged velocity field. With the increase in aperture, the bubble velocity gradient (from the center to both sides of the edge) increased from about 0.2 to 0.4 m/s, which increased the oxygen mass transfer effect. The increase of micropore aperture caused the increase of average Sauter bubble diameter and the decrease of specific surface area of bubbles. In addition, the negative effects of the reduction of specific surface area and the shortening of bubble residence time on oxygen mass transfer efficiency were greater than the positive effects of the increase of turbulent kinetic energy. When the aperture changes from 300 to 400 μm, the shortening of bubble residence time should have played a major role. This study provides some theoretical parameters for investigating the mechanism of oxygen mass transfer in microporous aeration.

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Section: Introductionmentioning

confidence: 99%

Influence of Aeration Microporous Aperture on Oxygen Mass Transfer Efficiency in Terms of Bubble Motion Flow Field

Wen

Zhou

et al. 2021

ACS Omega

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An artificial neural network model for predicting volumetric mass transfer coefficient in the biological aeration unit

Muloiwa,

Dinka,

Nyende‐Byakika

2024

Water & Environment J

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The solubility of oxygen in a liquid is limited/restricted by the gas–liquid film that prevents gas from dissolving in wastewater. Oxygen in the biological aeration unit (BAU) is required by microorganisms to survive and eliminate organic and inorganic matter. This study developed a volumetric mass transfer coefficient (KLa) model using Artificial Neural Network (ANN) algorithm. The performance of the KLa model was evaluated using coefficient of determination (R2), mean squared error (MSE), and root mean squared error (RMSE). KLa model produced R2 (0.852), MSE (0.0006), and RMSE (0.0245) during the testing phase. Biomass concentration (22.29%), aeration period (20.55%), and temperature (19.63%) contributed the highest towards the KLa model. KLa model showed that the BAU should be operated at high temperatures (35°C), low biomass concentration (1.65 g/L), and low aeration period (1 h) instead of high airflow (30 L/min). Temperature should be included in the modelling of the BAU, to achieve optimum KLa.

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Influence of Aeration Rates on Oxygen Mass Transfer and Flow- Field in a Microporous Aeration System

Cited by 2 publications

References 16 publications

Influence of Aeration Microporous Aperture on Oxygen Mass Transfer Efficiency in Terms of Bubble Motion Flow Field

Influence of Aeration Microporous Aperture on Oxygen Mass Transfer Efficiency in Terms of Bubble Motion Flow Field

An artificial neural network model for predicting volumetric mass transfer coefficient in the biological aeration unit

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