NDLI: Optimization of permeate flux produced by solar energy driven membrane distillation process using central composite design approach.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Bouguecha, Salah T. Boubakri, Ali Aly, Samir E. Al-Beirutty, Mohammad H. Hamdi, Mohamed M.
Description	Country affiliation: Saudi Arabia Author Affiliation: Bouguecha ST ( Center of Excellence in Desalination Technology, King Abdulaziz University, P.O. Box 80200, Jeddah 21589, Saudi Arabia); Boubakri A ( Laboratory of Water and Membranes Technologies, Center of Researches and Water Technologies, P.B 273, 8020 Soliman, Tunisia E-mail: ali.boubakri@certe.rnrt.tn.); Aly SE ( Center of Excellence in Desalination Technology, King Abdulaziz University, P.O. Box 80200, Jeddah 21589, Saudi Arabia.); Al-Beirutty MH ( Center of Excellence in Desalination Technology, King Abdulaziz University, P.O. Box 80200, Jeddah 21589, Saudi Arabia.); Hamdi MM ( Center of Excellence in Desalination Technology, King Abdulaziz University, P.O. Box 80200, Jeddah 21589, Saudi Arabia.)
Abstract	Membrane distillation (MD) is considered as a relatively high-energy requirement. To overcome this drawback, it is recommended to couple the MD process with solar energy as the renewable energy source in order to provide heat energy required to optimize its performance to produce permeate flux. In the present work, an original solar energy driven direct contact membrane distillation (DCMD) pilot plant was built and tested under actual weather conditions at Jeddah, KSA, in order to model and optimize permeate flux. The dependency of permeate flux on various operating parameters such as feed temperature (46.6-63.4°C), permeate temperature (6.6-23.4°C), feed flow rate (199-451L/h) and permeate flow rate (199-451L/h) was studied by response surface methodology based on central composite design approach. The analysis of variance (ANOVA) confirmed that all independent variables had significant influence on the model (where P-value <0.05). The high coefficient of determination (R(2) = 0.9644 and R(adj)(2) = 0.9261) obtained by ANOVA demonstrated good correlation between experimental and predicted values of the response. The optimized conditions, determined using desirability function, were T(f) = 63.4°C, Tp = 6.6°C, Q(f) = 451L/h and Q(p) = 451L/h. Under these conditions, the maximum permeate flux of 6.122 kg/m(2).h was achieved, which was close to the predicted value of 6.398 kg/m(2).h.
File Format	HTM / HTML
ISSN	02731223
Issue Number	1
Journal	Water Science & Technology
Volume Number	74
e-ISSN	19969732
Language	English
Publisher	IWA Publishing
Publisher Date	2016-01-01
Publisher Place	Great Britain (UK)
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article
Subject	Environmental Engineering Water Science and Technology

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