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)

Abstract

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
Volume7
Issue number3
DOIs
Publication statusPublished - 1 Mar 2010
Externally publishedYes

Fingerprint

Desalination
Multiobjective optimization
Genetic algorithms
Exergy
Thermodynamics
Costs

Keywords

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

ASJC Scopus subject areas

  • Energy(all)

Cite this

Multi-Objective Optimisation of hybrid MSF-RO desalination system using Genetic Algorithm. / Abdulrahim, Hassan K.; Alasfour, Fuad N.

In: International Journal of Exergy, Vol. 7, No. 3, 01.03.2010, p. 387-424.

Research output: Contribution to journalArticle

@article{b0039fa55c604f64b7b2072873187037,
title = "Multi-Objective Optimisation of hybrid MSF-RO desalination system using Genetic Algorithm",
abstract = "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.",
keywords = "Aggregated objectives, Desalination, Exergy, GA, Genetic Algorithm, Hybrid MSF-RO, MOO, Multi-Objective Optimisation, Reverse osmosis, RO, Second law efficiency, Weighted sum",
author = "Abdulrahim, {Hassan K.} and Alasfour, {Fuad N.}",
year = "2010",
month = "3",
day = "1",
doi = "10.1504/IJEX.2010.031991",
language = "English",
volume = "7",
pages = "387--424",
journal = "International Journal of Exergy",
issn = "1742-8297",
publisher = "Inderscience Enterprises Ltd",
number = "3",

}

TY - JOUR

T1 - Multi-Objective Optimisation of hybrid MSF-RO desalination system using Genetic Algorithm

AU - Abdulrahim, Hassan K.

AU - Alasfour, Fuad N.

PY - 2010/3/1

Y1 - 2010/3/1

N2 - 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.

AB - 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.

KW - Aggregated objectives

KW - Desalination

KW - Exergy

KW - GA

KW - Genetic Algorithm

KW - Hybrid MSF-RO

KW - MOO

KW - Multi-Objective Optimisation

KW - Reverse osmosis

KW - RO

KW - Second law efficiency

KW - Weighted sum

UR - http://www.scopus.com/inward/record.url?scp=77951245437&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77951245437&partnerID=8YFLogxK

U2 - 10.1504/IJEX.2010.031991

DO - 10.1504/IJEX.2010.031991

M3 - Article

AN - SCOPUS:77951245437

VL - 7

SP - 387

EP - 424

JO - International Journal of Exergy

JF - International Journal of Exergy

SN - 1742-8297

IS - 3

ER -