CFD modelling of uneven flows behaviour in flat-sheet membrane bioreactors: From bubble generation to shear stress distribution

2019 ◽  
Vol 570-571 ◽  
pp. 146-155 ◽  
Author(s):  
Xuefei Liu ◽  
Yuan Wang ◽  
Yuerong Shi ◽  
Qiyuan Li ◽  
Pan Dai ◽  
...  
Keyword(s):  
Shear Stress ◽  
Stress Distribution ◽  
Membrane Bioreactors ◽  
Shear Stress Distribution ◽  
Cfd Modelling ◽  
Bubble Generation ◽  
Flat Sheet ◽  
Flat Sheet Membrane ◽  
Sheet Membrane

scholarly journals Removal of antibiotics in sponge membrane bioreactors treating hospital wastewater: Comparison between hollow fiber and flat sheet membrane systems

2017 ◽  
Vol 240 ◽  
pp. 42-49 ◽  
Author(s):  
Thanh-Tin Nguyen ◽  
Xuan-Thanh Bui ◽  
Vinh-Phuc Luu ◽  
Phuoc-Dan Nguyen ◽  
Wenshan Guo ◽  
...  
Keyword(s):  
Hollow Fiber ◽  
Membrane Bioreactors ◽  
Hospital Wastewater ◽  
Membrane Systems ◽  
Flat Sheet ◽  
Flat Sheet Membrane ◽  
Sheet Membrane

scholarly journals ESTIMATION OF EFFECTIVE SHEAR STRESS WORKING ON FLAT SHEET MEMBRANE USING FLUIDIZED MEDIA IN MBRs

2011 ◽  
Vol 67 (4) ◽  
pp. 170-177
Author(s):  
Hlwan Moe Zaw ◽  
Tairi LI ◽  
Hiroshi NAGAOKA ◽  
Iori MISHIMA
Keyword(s):  
Shear Stress ◽  
Flat Sheet ◽  
Flat Sheet Membrane ◽  
Sheet Membrane

An advanced simulation model for membrane bioreactors: development, calibration and validation

2012 ◽  
Vol 66 (7) ◽  
pp. 1384-1391 ◽  
Author(s):  
T. Ludwig ◽  
D. Gaida ◽  
C. Keysers ◽  
J. Pinnekamp ◽  
M. Bongards ◽  
...  
Keyword(s):  
Simulation Model ◽  
Wastewater Treatment Plants ◽  
Hollow Fibre ◽  
Membrane Bioreactors ◽  
Filtration Process ◽  
Calibration And Validation ◽  
Flat Sheet ◽  
Dynamic Simulation Model ◽  
Flat Sheet Membrane ◽  
Sheet Membrane

Membrane wastewater treatment plants (WWTPs) have several advantages compared with conventionally designed WWTPs with classical purification techniques. The filtration process is the key to their commercial success in Germany with respect to energy consumption and effectiveness, enabled by the optimization of filtration using a dynamic simulation model. This work is focused on the development of a robust, flexible and practically applicable membrane simulation model for submerged hollow-fibre and flat-sheet membrane modules. The model is based on standard parameters usually measured on membrane WWTPs. The performance of the model is demonstrated by successful calibration and validation for three different full-scale membrane WWTPs achieving good results. Furthermore, the model is combinable with Activated Sludge Models.

Optimised hydrodynamics for membrane bioreactors with immersed flat sheet membrane modules

2010 ◽  
Vol 18 (1-3) ◽  
pp. 270-276 ◽  
Author(s):  
H. Prieske ◽  
L. Böhm ◽  
A. Drews ◽  
M. Kraume
Keyword(s):  
Membrane Bioreactors ◽  
Flat Sheet ◽  
Membrane Modules ◽  
Flat Sheet Membrane ◽  
Sheet Membrane

scholarly journals Assessing Machine Learning versus a Mathematical Model to Estimate the Transverse Shear Stress Distribution in a Rectangular Channel

Mathematics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 596
Author(s):  
Babak Lashkar-Ara ◽  
Niloofar Kalantari ◽  
Zohreh Sheikh Khozani ◽  
Amir Mosavi
Keyword(s):  
Shear Stress ◽  
Stress Distribution ◽  
Fuzzy Inference ◽  
Rectangular Channel ◽  
Tsallis Entropy ◽  
Shear Stress Distribution ◽  
Data Series ◽  
Shear Stresses ◽  
Inference System ◽  
Aspect Ratios

One of the most important subjects of hydraulic engineering is the reliable estimation of the transverse distribution in the rectangular channel of bed and wall shear stresses. This study makes use of the Tsallis entropy, genetic programming (GP) and adaptive neuro-fuzzy inference system (ANFIS) methods to assess the shear stress distribution (SSD) in the rectangular channel. To evaluate the results of the Tsallis entropy, GP and ANFIS models, laboratory observations were used in which shear stress was measured using an optimized Preston tube. This is then used to measure the SSD in various aspect ratios in the rectangular channel. To investigate the shear stress percentage, 10 data series with a total of 112 different data for were used. The results of the sensitivity analysis show that the most influential parameter for the SSD in smooth rectangular channel is the dimensionless parameter B/H, Where the transverse coordinate is B, and the flow depth is H. With the parameters (b/B), (B/H) for the bed and (z/H), (B/H) for the wall as inputs, the modeling of the GP was better than the other one. Based on the analysis, it can be concluded that the use of GP and ANFIS algorithms is more effective in estimating shear stress in smooth rectangular channels than the Tsallis entropy-based equations.

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