Application of response surface methodology for modeling and optimization of membrane distillation desalination process

• Published in: Journal of industrial and engineering chemistry (Seoul, Korea) 2014, 20(5), , pp.3163-3169
• Main Authors: Boubakri, Ali, Hafiane, Amor, Bouguecha, Salah Al Tahar
• Format: Article
• Language: English
• Subjects: Analysis of variance; Desalination; Flow rate; Flux; Mathematical models; Membranes; Optimization; Polypropylenes; 화학공학
• ISSN: 1226-086X; 1876-794X
• DOI: 10.1016/j.jiec.2013.11.060

In this work, response surface methodology (RSM) was applied for modeling and optimization of operating parameters for water desalination by direct contact membrane distillation (DCMD) process using polypropylene membrane (PP) with low pore size. Operating parameters including vapor pressure difference, feed flow rate, permeate flow rate and feed ionic strength were selected and the optimum parameters were determined for DCMD permeate flux. The developed model for permeate flux response was statistically validated by analysis of variance (ANOVA) which showed a high value coefficient of determination value (R super(2) = 0.989). The obtained optimum operating parameters were found to be 0.355 10 super(5) Pa of vapor pressure difference, feed flow rate of 73.6 L/h, and permeate flow rate of 17.1 L/h and feed ionic strength of 309 mM. Under these conditions, the permeate flux was 4.191 L/(m super(2) h). Compared to a predicted value, the deviation was 3.9%, which confirms the validity of the model for the DCMD process desalination optimization. In terms of product water quality, the DCMD process using hydrophobic PP membrane can produce high quality of water with low electrical conductivity for all experimental runs.