Optimization of solar-powered reverse osmosis desalination pilot plant using response surface methodology

M. Khayet; M. Essalhi; C. Armenta-Déu; C. Cojocaru; N. Hilal

doi:10.1016/j.desal.2010.04.010

Optimization of solar-powered reverse osmosis desalination pilot plant using response surface methodology

M. Khayet, M. Essalhi, C. Armenta-Déu, C. Cojocaru, N. Hilal

Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

A solar thermal and photovoltaic-powered reverse osmosis (RO) desalination plant has been constructed and optimized for brackish water desalination. The central composite experimental design of orthogonal type and response surface methodology (RSM) have been used to develop predictive models for simulation and optimization of different responses such as the salt rejection coefficient, the specific permeate flux and the RO specific performance index that takes into consideration the salt rejection coefficient, the permeate flux, the energy consumption and the conversion factor. The considered input variables were the feed temperature, the feed flow-rate and the feed pressure. Analysis of variance (ANOVA) has been employed to test the significance of the RSM polynomial models. The optimum operating conditions have been determined using the step adjusting gradient method. An optimum RO specific performance index has been achieved experimentally under the obtained optimal conditions. The RO optimized plant guarantees a potable water production of 0.2 m³/day with energy consumption lower than 1.3 kWh/m³.

Original language	English (US)
Pages (from-to)	284-292
Number of pages	9
Journal	Desalination
Volume	261
Issue number	3
DOIs	https://doi.org/10.1016/j.desal.2010.04.010
State	Published - Oct 2010

Keywords

Desalination
Optimization
Response surface methodology
Reverse osmosis
Solar energy

ASJC Scopus subject areas

General Chemistry
General Chemical Engineering
General Materials Science
Water Science and Technology
Mechanical Engineering

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10.1016/j.desal.2010.04.010

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title = "Optimization of solar-powered reverse osmosis desalination pilot plant using response surface methodology",

abstract = "A solar thermal and photovoltaic-powered reverse osmosis (RO) desalination plant has been constructed and optimized for brackish water desalination. The central composite experimental design of orthogonal type and response surface methodology (RSM) have been used to develop predictive models for simulation and optimization of different responses such as the salt rejection coefficient, the specific permeate flux and the RO specific performance index that takes into consideration the salt rejection coefficient, the permeate flux, the energy consumption and the conversion factor. The considered input variables were the feed temperature, the feed flow-rate and the feed pressure. Analysis of variance (ANOVA) has been employed to test the significance of the RSM polynomial models. The optimum operating conditions have been determined using the step adjusting gradient method. An optimum RO specific performance index has been achieved experimentally under the obtained optimal conditions. The RO optimized plant guarantees a potable water production of 0.2 m3/day with energy consumption lower than 1.3 kWh/m3.",

keywords = "Desalination, Optimization, Response surface methodology, Reverse osmosis, Solar energy",

author = "M. Khayet and M. Essalhi and C. Armenta-D{\'e}u and C. Cojocaru and N. Hilal",

note = "Funding Information: The authors wish to thank the financial support of the University Complutense of Madrid, UCM-BSCH (Project GR58/08 , UCM group 910336). M. Essalhi is thankful to the Middle East Desalination Research Centre for the grant ( MEDRC 06-AS007 ). ",

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AU - Cojocaru, C.

AU - Hilal, N.

N1 - Funding Information: The authors wish to thank the financial support of the University Complutense of Madrid, UCM-BSCH (Project GR58/08 , UCM group 910336). M. Essalhi is thankful to the Middle East Desalination Research Centre for the grant ( MEDRC 06-AS007 ).

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Y1 - 2010/10

N2 - A solar thermal and photovoltaic-powered reverse osmosis (RO) desalination plant has been constructed and optimized for brackish water desalination. The central composite experimental design of orthogonal type and response surface methodology (RSM) have been used to develop predictive models for simulation and optimization of different responses such as the salt rejection coefficient, the specific permeate flux and the RO specific performance index that takes into consideration the salt rejection coefficient, the permeate flux, the energy consumption and the conversion factor. The considered input variables were the feed temperature, the feed flow-rate and the feed pressure. Analysis of variance (ANOVA) has been employed to test the significance of the RSM polynomial models. The optimum operating conditions have been determined using the step adjusting gradient method. An optimum RO specific performance index has been achieved experimentally under the obtained optimal conditions. The RO optimized plant guarantees a potable water production of 0.2 m3/day with energy consumption lower than 1.3 kWh/m3.

AB - A solar thermal and photovoltaic-powered reverse osmosis (RO) desalination plant has been constructed and optimized for brackish water desalination. The central composite experimental design of orthogonal type and response surface methodology (RSM) have been used to develop predictive models for simulation and optimization of different responses such as the salt rejection coefficient, the specific permeate flux and the RO specific performance index that takes into consideration the salt rejection coefficient, the permeate flux, the energy consumption and the conversion factor. The considered input variables were the feed temperature, the feed flow-rate and the feed pressure. Analysis of variance (ANOVA) has been employed to test the significance of the RSM polynomial models. The optimum operating conditions have been determined using the step adjusting gradient method. An optimum RO specific performance index has been achieved experimentally under the obtained optimal conditions. The RO optimized plant guarantees a potable water production of 0.2 m3/day with energy consumption lower than 1.3 kWh/m3.

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KW - Optimization

KW - Response surface methodology

KW - Reverse osmosis

KW - Solar energy

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Optimization of solar-powered reverse osmosis desalination pilot plant using response surface methodology

Abstract

Keywords

ASJC Scopus subject areas

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