scholarly journals Dynamics of bacterial community at varying sludge retention time within membrane bioreactor treating synthetic hospital wastewater

2021 ◽  
Author(s):  
Bhagyashree Tiwari ◽  
Balasubramanian Sellamuthu ◽  
Sarah Piché-Choquette ◽  
Patrick Drogui ◽  
Rajeshwar Dayal Tyagi ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Retention Time ◽  
Membrane Bioreactor ◽  
Hospital Wastewater ◽  
Sludge Retention Time

Effect of 200 days' sludge retention time on performance of a pilot scale submerged membrane bioreactor for high strength industrial wastewater treatment

2006 ◽  
Vol 53 (11) ◽  
pp. 269-276 ◽  
Author(s):  
C.T. Hay ◽  
D.D. Sun ◽  
S.L. Khor ◽  
J.O. Leckie
Keyword(s):  
Retention Time ◽  
Industrial Wastewater ◽  
Membrane Bioreactor ◽  
Hydraulic Retention Time ◽  
High Strength ◽  
Pilot Scale ◽  
Submerged Membrane Bioreactor ◽  
Sludge Retention Time ◽  
Organic Removal ◽  
Sludge Concentration

A high strength industrial wastewater was treated using a pilot scale submerged membrane bioreactor (MBR) at a sludge retention time (SRT) of 200 d. The MBR was operated at a high sludge concentration of 20 g/L and a low F/M ratio of 0.11 during 300 d of operation. It was found that the MBR could achieve COD and TOC overall removal efficiencies at more than 99 and 98% TN removal. The turbidity of the permeate was consistently in the range of 0.123 to 0.136 NTU and colour254 absorbance readings varied from 0.0912 to 0.0962 a.u. cm−1. The sludge concentration was inversely proportional to the hydraulic retention time (HRT), yielded excellent organic removal and extremely low sludge production (0.0016 kgVSS/day).

scholarly journals A Modified Activated Sludge Model No.3 (ASM3) for Membrane Bioreactor (MBR) with an Emphasis for Solids Hydrolysis

2018 ◽  
Vol 53 ◽  
pp. 04039
Author(s):  
Xinyue Jiang ◽  
Bin Xu
Keyword(s):  
Carbon Source ◽  
Activated Sludge ◽  
Retention Time ◽  
Membrane Bioreactor ◽  
Activated Sludge Model ◽  
Modeling Approach ◽  
Sludge Retention Time ◽  
Subsequent Effect ◽  
Hydrolysis Of ◽  
Denitrification Process

The previously assumed “inert” organics measured by respirometric method has been reported to be hydrolysable under long sludge retention time (SRT) configuration such as membrane bioreactor(MBR). The sludge production under long SRT has also shown to be lower than the standard activated sludge model (ASM) prediction. The hydrolysis of “inert” organics can provide the extra carbon source for denitrification. The current modeling approach has not yet included this aspect. In this study, a modified ASM3 was developed to account for the hydrolysis of “inert” organics and subsequent effect on the denitrification process under long SRT.

Mathematical Modeling of Aerobic Membrane Bioreactor (MBR) Using Hybrid Activated Sludge Model No. 3 (ASM3)

2010 ◽  
Vol 113-116 ◽  
pp. 1424-1428
Author(s):  
Yu Tian ◽  
Lin Chen ◽  
Xin Ying Su ◽  
Chu Qing Cao
Keyword(s):  
Activated Sludge ◽  
Retention Time ◽  
Membrane Bioreactor ◽  
Municipal Wastewater ◽  
Recent Trend ◽  
Trial And Error ◽  
Municipal Wastewater Treatment ◽  
Sludge Retention Time ◽  
Microbial Products ◽  
Operating Strategies

Recent trend for membrane bioreactor (MBR) operation was to apply a low sludge retention time (SRT) to decrease the fouling propensity and simplify the overall maintenance. However, the correct control and operation of MBRs under low SRT conditions were not well-established. In this study, modeling of MBR system for municipal wastewater treatment was evaluated using hybrid Activated Sludge Models 3 (ASM3), which helped in determining the control and operating strategies. The experiment-based, manual trial-and-error approach used to calibrate the hybrid ASM3 was verified to be useful for MBR modeling at 30 d sludge retention time (SRT). Furthermore, the consistency relationships among carbon oxygen demanded (COD), soluble microbial products (SMP) and mixed liquor suspended solids (MLSS) were established in the process of modeling, implying that the accurate simulation of MLSS were the prerequisites for the COD and SMP prediction.

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