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

Ali Boubakri, Amor Hafiane, Salah Al Tahar Bouguecha

Research output: Contribution to journalJournal articlepeer-review

63 Scopus citations

Abstract

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 (R2=0.989). The obtained optimum operating parameters were found to be 0.355×105Pa of vapor pressure difference, feed flow rate of 73.6L/h, and permeate flow rate of 17.1L/h and feed ionic strength of 309mM. Under these conditions, the permeate flux was 4.191L/(m2h). 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.

Original languageEnglish
Pages (from-to)3163-3169
Number of pages7
JournalJournal of Industrial and Engineering Chemistry
Volume20
Issue number5
DOIs
StatePublished - 25 Sep 2014

Keywords

  • Desalination
  • Direct contact membrane distillation
  • Permeate flux
  • Polypropylene membrane
  • Response surface methodology

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