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Kima, S.J., Lee, Y.G., Oh, S., Lee, Y.S., Kim, Y.M., Jeon, M.G., Lee, S., Kim, I.S. and Kim, J.H. (2009) Energy Saving Methodology for the SWRO Desalination Process: Control of Operating Temperature and Pressure. Desalination, 247, 260-270.
http://dx.doi.org/10.1016/j.desal.2008.12.006

has been cited by the following article:

• TITLE: Improvement of PV/T Based Reverse Osmosis Desalination Plant Performances Using Fuzzy Logic Controller

  AUTHORS: Mahmoud Ammous, Sana Charfi, Ahmad Harb, Maher Chaabene

  KEYWORDS: PV/T Collector, Reverse Osmosis, Control, Fuzzy Logic Controller

  JOURNAL NAME: International Journal of Modern Nonlinear Theory and Application, Vol.5 No.1, March 2, 2016

  ABSTRACT: Photovoltaic based reverse osmosis desalination systems (PV/RO) present an effective method of water desalination especially in remote areas. The increase of the feed water temperature leads to an amelioration of the plant performances. Photovoltaic Thermal Collector (PV/T) represents an ideal power source as it provides both electric and thermal energies for the reverse osmosis process. Nevertheless, PV/T based RO plants should be controlled in order to solve operation problems related to electrical efficiency, reverse osmosis membrane, produced water and the rejected salts. This paper suggests a fuzzy logic controller for the flow rate of the circulating fluid into the PV/T collectors so as to ameliorate the system performances. The designed controller has improved the PV/T field electrical efficiency and preserved the reverse osmosis membrane which upgrades the system productivity. LABVIEW software is used to simulate the controlled system and validate the effectiveness of the controller.