Critical flux on a submerged membrane bioreactor for nitrification of source separated urine

Author(s):  
Jiaxi Jiang ◽  
Sherub Phuntsho ◽  
Nirenkumar Pathak ◽  
Qilin Wang ◽  
Jaeweon Cho ◽  
...  
2003 ◽  
Vol 227 (1-2) ◽  
pp. 81-93 ◽  
Author(s):  
Pierre Le Clech ◽  
Bruce Jefferson ◽  
In Soung Chang ◽  
Simon J. Judd

2008 ◽  
Vol 57 (12) ◽  
pp. 1873-1879 ◽  
Author(s):  
G. Guglielmi ◽  
D. Chiarani ◽  
D. P. Saroj ◽  
G. Andreottola

The paper discusses the experimental optimisation of both chemical and mechanical cleaning procedures for a flat-sheet submerged membrane bioreactor fed with municipal wastewater. Fouling was evaluated by means of the critical flux concept, which was experimentally measured by short-term flux-stepping tests. By keeping constant most important parameters of the biological process (MLSS, sludge age), two different chemical cleaning protocols (2,000 mg L−1 NaOCl and 200 mg L−1 NaOCl) were applied with different frequency and, after approximately 9 months of operation, the criticality threshold was determined under different values of SADm (specific aeration demand per unit of membrane surface area). The weaker and more frequent chemical cleaning regime (200 mg L−1, monthly) proved much more effective than the stronger and less frequent strategy (2,000 mg L−1, once every three months). The improvement of performances was quantified by two TMP-based parameters, the fouling rate and the ΔTMP (difference between TMP values during the increasing and decreasing phase of hysteresis). The best performing configuration was then checked over a longer period by running four long-term trials showing an exponential trend of the sub-critical fouling rate with the imposed flux.


2016 ◽  
Vol 3 (S1) ◽  
pp. 23-33 ◽  
Author(s):  
Paraschos Melidis ◽  
Spyridon Ntougias ◽  
Varvara Vasilatou ◽  
George Skouteris ◽  
Konstantinos Azis ◽  
...  

2015 ◽  
Vol 11 (21) ◽  
pp. 137-155 ◽  
Author(s):  
Edson Baltazar Estrada-Arriaga ◽  
Petia Mijaylova Nacheva ◽  
Liliana García-Sánchez

The aim of this study was to examine the impact of different Mixed Liquor Volatile Suspended Solids (MLVSS) concentrations on membrane fouling,in a submerged Membrane Bioreactor (MBR) at short and longterm MBRoperation for waste water treatment. Three laboratory-scale in a submerged MBR system were operated under critical flux, subcritical flux,and an intermittent suction time and backwashing conditions. At short-term MBR operation with mixed liquors of 4,200 and 6,150 mg MLVSSL−1, the hydraulic resistance of membranes followed a same trajectory with averages of 5.0E+12m−1, whereas for 7,940 mg MLVSSL−1, a highresistance of up to 1.7E+13m−1was obtained. The result showed thathigh biomass concentrations decreased to permeability due to a bio-layer formed in the membrane surface and high Extracellular Polymeric Substance (EPS).


2006 ◽  
Vol 53 (9) ◽  
pp. 103-110 ◽  
Author(s):  
Chunhai Wei ◽  
Xia Huang ◽  
Xianghua Wen

A pilot-scale modified submerged membrane bioreactor (SMBR) with the capacity of 18.1 m3d−1 was developed on the basis of the principle of air-lift internal-loop reactor. Economical aeration intensity of the SMBR was determined as 96 m3m−2h−1 according to hydrodynamic investigation. Corresponding economical air-flow rate was selected as the working air-flow rate in the long-term run. Under economical aeration intensity, the critical flux zone of the modified SMBR was as high as 30–35 Lm−2h−1 when MLSS was less than 13 gL−1. Therefore, a sub-critical flux of 30 Lm−2h−1 was selected as the working membrane flux in the long-term run. Membrane fouling was effectively controlled by sub-critical flux operation and periodic on-line chemical cleaning in the long-term run. When the average influent CODCr, NH3-N and turbidity were 310 and 44.3 mgL−1 and 161 NTU, respectively, the average permeate were 38.5 and 19.5 mgL−1 and 0.96 NTU under hydraulic retention time (HRT) was only 2.8 h. Corresponding removal was 86, 58.2 and 99.4%. DO deficiency caused by high MLSS was demonstrated as the main reason for low NH3-N removal.


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