Literature DB >> 25483415

Fluidic oscillator-mediated microbubble generation to provide cost effective mass transfer and mixing efficiency to the wastewater treatment plants.

Fahad Rehman1, Gareth J D Medley2, Hemaka Bandulasena3, William B J Zimmerman2.   

Abstract

Aeration is one of the most energy intensive processes in the waste water treatment plants and any improvement in it is likely to enhance the overall efficiency of the overall process. In the current study, a fluidic oscillator has been used to produce microbubbles in the order of 100 μm in diameter by oscillating the inlet gas stream to a pair of membrane diffusers. Volumetric mass transfer coefficient was measured for steady state flow and oscillatory flow in the range of 40-100l/min. The highest improvement of 55% was observed at the flow rates of 60, 90 and 100l/min respectively. Standard oxygen transfer rate and efficiency were also calculated. Both standard oxygen transfer rate and efficiency were found to be considerably higher under oscillatory air flow conditions compared to steady state airflow. The bubble size distributions and bubble densities were measured using an acoustic bubble spectrometer and confirmed production of monodisperse bubbles with approximately 100 μm diameters with fluidic oscillation. The higher number density of microbubbles under oscillatory flow indicated the effect of the fluidic oscillation in microbubble production. Visual observations and dissolved oxygen measurements suggested that the bubble cloud generated by the fluidic oscillator was sufficient enough to provide good mixing and to maintain uniform aerobic conditions. Overall, improved mass transfer coefficients, mixing efficiency and energy efficiency of the novel microbubble generation method could offer significant savings to the water treatment plants as well as reduction in the carbon footprint.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Fluidic oscillator; Mass transfer; Microbubble generation; Wastewater treatment

Mesh:

Substances:

Year:  2014        PMID: 25483415     DOI: 10.1016/j.envres.2014.11.017

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  4 in total

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Journal:  Biomass Bioenergy       Date:  2018-11       Impact factor: 5.061

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Authors:  Kebi Wu; Kezhen Ying; Jin Zhou; Dai Liu; Lu Liu; Yi Tao; James Hanotu; Xiaoshan Zhu; Zhonghua Cai
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Journal:  Eng Life Sci       Date:  2021-10-22       Impact factor: 2.678

  4 in total

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