Design and performance evaluation of reverse osmosis desalination systems: An emphasis on fouling modeling

2013 ◽  
Vol 60 (1-2) ◽  
pp. 208-217 ◽  
Author(s):  
Bilal A. Qureshi ◽  
Syed M. Zubair ◽  
Anwar K. Sheikh ◽  
Aditya Bhujle ◽  
Steven Dubowsky
Keyword(s):  
Performance Evaluation ◽  
Reverse Osmosis ◽  
And Performance ◽  
Reverse Osmosis Desalination

Water quality and performance evaluation at seawater reverse osmosis plants through the use of advanced analytical tools

Desalination ◽  
2007 ◽  
Vol 203 (1-3) ◽  
pp. 243-255 ◽  
Author(s):  
Jérôme Leparc ◽  
Sophie Rapenne ◽  
Claude Courties ◽  
Philippe Lebaron ◽  
Jean Philippe Croué ◽  
...  
Keyword(s):  
Water Quality ◽  
Performance Evaluation ◽  
Reverse Osmosis ◽  
Seawater Reverse Osmosis ◽  
And Performance ◽  
Analytical Tools

scholarly journals Solar nanophotocatalytic pretreatment of seawater: process optimization and performance evaluation using response surface methodology and genetic algorithm

2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Varghese Manappallil Joy ◽  
Shaik Feroz ◽  
Susmita Dutta
Keyword(s):  
Genetic Algorithm ◽  
Response Surface Methodology ◽  
Performance Evaluation ◽  
Response Surface ◽  
Reverse Osmosis ◽  
Membrane Fouling ◽  
Treatment Process ◽  
Cod Removal ◽  
Solar Irradiation ◽  
And Performance

AbstractIn reverse osmosis seawater treatment process, membrane fouling can be mitigated by degrading organic pollutants present in the feed seawater. The present study evaluates the effectiveness of employing solar photocatalysis using TiO2/ZnO/H2O2 to pretreat reverse osmosis (RO) feed seawater under solar irradiation. Process optimisation and performance evaluation were undertaken using response surface methodology-desirability function and RSM integrated with genetic algorithm (RSM-GA). Statistical analysis was performed to determine the interactive relationships and main effects of input factors such as TiO2 dosage, H2O2 dosage, pH, reaction time and ZnO dosage. The performance evaluation was determined in terms of percentage removal of total organic carbon (TOC) and chemical oxygen demand (COD). The obtained optimum values using RSM-GA evaluation for TOC and COD removal were found to be 76.5% and 63.9%, respectively. The predicted RSM-GA results correspond well with the experimental results (TOC removal = 73.3%, COD removal = 61.2%). Utilization of renewable solar energy coupled with optimum utilisation of nanophotocatalysts enables this technique to be a unique treatment process for RO pretreatment of seawater and membrane fouling mitigation.

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