Literature DB >> 27399266

Control of membrane fouling with the addition of a nanoporous zeolite membrane fouling reducer to the submerged hollow fiber membrane bioreactor.

Chul-Hwi Park1, Jun-Won Park1, Gee-Bong Han2.   

Abstract

The membrane fouling control via the addition of nanoporous zeolite membrane fouling reducer (Z-MFR) to the submerged membrane bioreactor (MBR) was investigated. Using scanning electron microscopy/energy-dispersive X-ray (SEM/EDX) analysis techniques, the characteristics of fouling on a hollow fiber membrane surface were also analyzed. The addition of Z-MFR to the MBR led to the adsorption of foulants and the flocculation of mixed liquor suspended solids (MLSSs), which resulted in substantially enhancing the membrane filterability. The critical flux values obtained from the sewage mixed liquors of 3400 mg L(-1) at the effective dosage rate of 0.03 mg Z-MFR mg(-1) MLSS was 85 L m(-2) h(-1) (LMH), which was enhanced by 42%. The transmembrane pressure (TMP) variation under the operating conditions of 30 LMH with 3500 mg MLSS L(-1) showed that the addition of Z-MFR extended the time required to reach the critical flux of 0.32 bar by 2.6-fold longer than the control. Thus, due to the hybrid functions of adsorbing foulants and precipitating colloidal substances with the addition of Z-MFR, a decrease in the foulant amount and an improvement of sludge flocculation have been attained simultaneously. As a result, the membrane fouling control was achieved effectively with the addition of the Z-MFR.

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Keywords:  Fouling; MBR; Membrane fouling reducer; hollow fiber membrane; zeolite

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Year:  2016        PMID: 27399266     DOI: 10.1080/10934529.2016.1198600

Source DB:  PubMed          Journal:  J Environ Sci Health A Tox Hazard Subst Environ Eng        ISSN: 1093-4529            Impact factor:   2.269


  1 in total

Review 1.  Prediction of membrane fouling using artificial neural networks for wastewater treated by membrane bioreactor technologies: bottlenecks and possibilities.

Authors:  Félix Schmitt; Khac-Uan Do
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-04       Impact factor: 4.223

  1 in total

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