Removal of organic micropollutants in anaerobic membrane bioreactors in wastewater treatment: critical review

2020 ◽  
Vol 6 (5) ◽  
pp. 1230-1243 ◽  
Author(s):  
Michael Lim ◽  
Dominique Patureau ◽  
Marc Heran ◽  
Geoffroy Lesage ◽  
Jeonghwan Kim
Keyword(s):  
Wastewater Treatment ◽  
Renewable Energy ◽  
Critical Review ◽  
Membrane Bioreactor ◽  
Treatment Process ◽  
Membrane Bioreactors ◽  
Organic Micropollutants ◽  
Wastewater Treatment Process ◽  
Effluent Quality ◽  
Anaerobic Membrane Bioreactors

The anaerobic membrane bioreactor (AnMBR) is a promising technology for achieving an energy-saving or even energy-positive wastewater treatment process as it produces high effluent quality and renewable energy in the form of methane.

scholarly journals A Novel Model with GA Evolving FWNN for Effluent Quality and Biogas Production Forecast in a Full-Scale Anaerobic Wastewater Treatment Process

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Zehua Huang ◽  
Renren Wu ◽  
XiaoHui Yi ◽  
Hongbin Liu ◽  
Jiannan Cai ◽  
...  
Keyword(s):  
Neural Network ◽  
Wastewater Treatment ◽  
Treatment Process ◽  
Biogas Production ◽  
Anaerobic Treatment ◽  
Production Rates ◽  
Wastewater Treatment Process ◽  
Effluent Quality ◽  
Anaerobic Wastewater Treatment ◽  
Novel Model

The anaerobic treatment process is a complicated multivariable system that is nonlinear and time varying. Moreover, biogas production rates are an important indicator for reflecting operational performance of the anaerobic treatment system. In this work, a novel model fuzzy wavelet neural network based on the genetic algorithm (GA-FWNN) that combines the advantages of the genetic algorithm, fuzzy logic, neural network, and wavelet transform was established for prediction of effluent quality and biogas production rates in a full-scale anaerobic wastewater treatment process. Moreover, the dataset was preprocessed via a self-adapted fuzzy c-means clustering before training the network and a hybrid algorithm for acquiring the optimal parameters of the multiscale GA-FWNN for improving the network precision. The analysis results indicate that the FWNN with the optimal algorithm had a high speed of convergence and good quality of prediction, and the FWNN model was more advantageous than the traditional intelligent coupling models (NN, WNN, and FNN) in prediction accuracy and robustness. The determination coefficients R2 of the FWNN models for predicting both the effluent quality and biogas production rates were over 0.95. The proposed model can be used for analyzing both biogas (methane) production rates and effluent quality over the operational time period, which plays an important role in saving energy and eliminating pollutant discharge in the wastewater treatment system.

The osmotic membrane bioreactor: a critical review

2015 ◽  
Vol 1 (5) ◽  
pp. 581-605 ◽  
Author(s):  
Ryan W. Holloway ◽  
Andrea Achilli ◽  
Tzahi Y. Cath
Keyword(s):  
Wastewater Treatment ◽  
Critical Review ◽  
Water Reuse ◽  
Membrane Bioreactor ◽  
Treatment Process ◽  
Physical Treatment ◽  
Osmotic Membrane Bioreactor

The osmotic membrane bioreactor (OMBR) is a hybrid biological-physical treatment process for wastewater treatment and water reuse.

Anaerobic membrane bioreactor treatment of domestic wastewater at psychrophilic temperatures ranging from 15 °C to 3 °C

2015 ◽  
Vol 1 (1) ◽  
pp. 56-64 ◽  
Author(s):  
A. L. Smith ◽  
S. J. Skerlos ◽  
L. Raskin
Keyword(s):  
Wastewater Treatment ◽  
Membrane Bioreactor ◽  
Domestic Wastewater ◽  
Membrane Bioreactors ◽  
Anaerobic Membrane Bioreactor ◽  
Domestic Wastewater Treatment ◽  
Anaerobic Membrane Bioreactors

This paper demonstrates the viability of anaerobic membrane bioreactors (AnMBRs) for domestic wastewater treatment at temperatures as low as 6 °C.

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