Multi-Objective Optimisation of hybrid MSF-RO desalination system using Genetic Algorithm

Hassan K. Abdulrahim, Fuad N. Alasfour

Research output: Contribution to journalArticle

6 Citations (Scopus)


The aim of this research is to perform Multi-Objective Optimisation (MOO) study for multistage flashing with brine recirculation and hybrid MSF-RO desalination systems using Genetic Algorithm (GA) technique. The hybrid MSF-RO desalination system has been simulated rigorously using first and second laws of thermodynamics in addition to the plant economical aspects. Four objectives have been considered in this analysis: distillate production, product cost, Gain Ratio and exergy destruction. The desalination systems have been optimised for single, double and triple simultaneous objectives. Results showed that MOO of MSF-BR and hybrid MSF-RO systems were successful and tend to enhance the performance of both systems.

Original languageEnglish
Pages (from-to)387-424
Number of pages38
JournalInternational Journal of Exergy
Issue number3
Publication statusPublished - 1 Mar 2010



  • Aggregated objectives
  • Desalination
  • Exergy
  • GA
  • Genetic Algorithm
  • Hybrid MSF-RO
  • MOO
  • Multi-Objective Optimisation
  • RO
  • Reverse osmosis
  • Second law efficiency
  • Weighted sum

ASJC Scopus subject areas

  • Energy(all)

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