Fouling characteristics and cleaning strategies of reverse osmosis membranes at different stages in a wastewater reclamation process

Chemosphere, Год журнала: 2025, Номер 377, С. 144352 - 144352

Опубликована: Апрель 9, 2025

Язык: Английский

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Targeting fabrication of a TFC NF membrane for the desalination of sulfate-type brackish water

Desalination, Год журнала: 2025, Номер unknown, С. 118901 - 118901

Опубликована: Апрель 1, 2025

Язык: Английский

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Biofouling-resistant membranes based on active attack and passive defence strategies: A comprehensive review and future challenges

Desalination, Год журнала: 2025, Номер unknown, С. 118965 - 118965

Опубликована: Апрель 1, 2025

Язык: Английский

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Autopsy Results and Inorganic Fouling Prediction Modeling Using Artificial Neural Networks for Reverse Osmosis Membranes in a Desalination Plant

Eng—Advances in Engineering, Год журнала: 2025, Номер 6(5), С. 98 - 98

Опубликована: Май 13, 2025

Nowadays, reverse osmosis (RO) desalination has become a highly effective and economical solution to address water scarcity worldwide. The membranes used in this type of separation are influenced by both pre-treatment operations feed quality, leading fouling, complex phenomenon responsible for reducing treatment performance shortening membrane lifespan. In study, an autopsy RO from the Boujdour plant was performed, fouling prediction tool based on transmembrane pressure (TMP) developed using MATLAB/Simulink (R2015a) with artificial neural network (ANN) model. impact also examined through one year monitoring. A detailed analysis fouled conducted SEM/EDS techniques characterize membrane’s surface cross-section. results revealed significant fractures surface, predominantly consisting organic deposits (characterized high oxygen concentration 39.69%) inorganic including Si (7.99%), Al (2.79%), Mg (1.56%), Fe (1.27%), smaller quantities K (0.87%), S (0.36%), Ca (0.12%). ANN model predicting successfully developed, achieving R2 value 92.077% low mean square error (MSE) 0.005657. This predictive demonstrates ability forecast future TMP cycles historical data. research provides understanding types affecting contributes development preventive strategies mitigate fouling.

Язык: Английский

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Alkali-etching-induced regeneration of polyester nanofiltration membranes: Enhancing sustainable separation and anti-fouling performance

Desalination, Год журнала: 2025, Номер unknown, С. 119028 - 119028

Опубликована: Май 1, 2025

Язык: Английский

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