IJMNTA  Vol.5 No.1 , March 2016
Improvement of PV/T Based Reverse Osmosis Desalination Plant Performances Using Fuzzy Logic Controller
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.
Cite this paper: Ammous, M. , Charfi, S. , Harb, A. and Chaabene, M. (2016) Improvement of PV/T Based Reverse Osmosis Desalination Plant Performances Using Fuzzy Logic Controller. International Journal of Modern Nonlinear Theory and Application, 5, 11-27. doi: 10.4236/ijmnta.2016.51002.

[1]   UNESCO (2003) Water for People Water for Life the United Nations World Water Development Report. Berghahn Books.

[2]   Riffel, D.B. and Carvalho, P.C.M. (2009) Small-Scale Photovoltaic-Powered Reverse Osmosis Plant without Batteries: Design and Simulation. Desalination, 247, 378-389.

[3]   Eltawil, M.A., Zhao, Z.M. and Yuan, L.Q. (2009) A Review of Renewable Energy Technologies Integrated with Desalination Systems. Renewable and Sustainable Energy Reviews, 13, 2245-2262.

[4]   El-Nashar, A.M. (2001) The Economic Feasibility of Small Solar MED Seawater Desalination Plants for Remote Arid Areas. Desalination, 134, 173-186.

[5]   Hou, S.B., Zhang, Z.J., Huang, Z.Z. and Xie, A.X. (2008) Performance Optimization of Solar Multi Flash Desalination Process Using Pinch Technology. Desalination, 220, 524-530.

[6]   Qtaishat, M.R. and Banat, F. (2013) Desalination by Solar Powered Membrane Distillation Systems. Desalination, 308, 186-197.

[7]   de Carvalho, P.C.M. and Riffel, D.B. (2004) The Brazilian Experience with a Photovoltaic Powered Reverse Osmosis Plant. Progress in Photovoltaics Research and Applications, 12, 373-385.

[8]   Bilton, A.M., Wiesman, R., Arif, A.F.M., Zubair, S.M. and Dubowsky, S. (2011) On the Feasibility of Community-Scale Photovoltaic-Powered Reverse Osmosis Desalination Systems for Remote Locations. Renewable Energy, 36, 3246-3256.

[9]   Qiblawey, H., Banat, F. and Al-Nasser, Q. (2011) Performance of Reverse Osmosis Pilot Plant Powered by Photovoltaic in Jordan. Renewable Energy, 36, 3452-3460.

[10]   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.

[11]   Al-Mutaz, I.S. and Al-Ghunaimi, M.A. (2001) Performance of Reverse Osmosis Units at High Temperatures. Proceedings of the IDA World Congress on Desalination and Water Reuse, Bahrain, 26-31 October 2001.

[12]   Goosen, M.F.A., Sablani, S.S., Al-Maskari, S.S., Al-Belushi, R.H. and Wilf, M. (2002) Effect of Feed Temperature on Permeate Flux and Mass Transfer Coefficient in Spiral-Wound Reverse Osmosis Systems. Desalination, 144, 367-372.

[13]   Kelley, L.C. and Dubowsky, S. (2013) Thermal Control to Maximize Photovoltaic Powered Reverse Osmosis Desalination Systems Productivity. Desalination, 314, 10-19.

[14]   Bambrook, S.M. and Sproul, A.B. (2012) Maximising the Energy Output of a PVT Air System. Solar Energy, 86, 1857-1871.

[15]   Ammous, M. and Chaabene, M. (2014) PV/T Based Desalination Plant: Concept and Assessment. Proceedings of the Fifth International Renewable Energy Congress IREC, Hammamet, 25-27 March 2014.

[16]   Bhattarai, S., Oh, J.-H., Euh, S.-H., Kafle, G.K. and Kim, D.H. (2012) Simulation and Model Validation of Sheet and Tube Type Photovoltaic Thermal Solar System and Conventional Solar Collecting System in Transient States. Solar Energy Materials & Solar Cells, 103, 184-193.

[17]   Ammous, M. and Chaabene, M. (2015) Multi Criteria Sizing Approach for Photovoltaic Thermal Collectors Supplying Desalination Plant. Energy Conversion and Management, 94, 365-376.

[18]   Priya, G.S.K., Thakare, M.S., Ghosh, P.C. and Bandyopadhyay, S. (2013) Sizing of Standalone Photovoltaic Thermal (PVT) Systems Using Design Space Approach. Solar Energy, 97, 48-57.

[19]   Sandnes, B. and Rekstad, J. (2002) A Photovoltaic/Thermal (PV/T) Collector with a Polymer Absorber Plate. Experimental Study and Analytical Model. Solar Energy, 72, 63-73.

[20]   Bakar, M.N.A., Othman, M., Din, M.H. and Manaf, N.A. (2014) Design Concept and Mathematical Model of a Bi-Fluid Photovoltaic/Thermal (PV/T) Solar Collector. Renewable Energy, 67, 153-164.

[21]   Nagano, K., Mochida, T., Shimakura, K., Murashita, K. and Takeda, S. (2003) Development of Thermal-Photovoltaic Hybrid Exterior Wallboards Incorporating PV Cells in and Their Winter Performances. Solar Energy Materials & Solar Cells, 77, 265-282.

[22]   Ammar, M.B., Chaabene, M. and Chtourou, Z. (2013) Artificial Neural Network Based Control for PV/T Panel to Track Optimum Thermal and Electrical Power. Energy Conversion and Management, 65, 372-380.

[23]   Ali, M.A., Ajbar, A., Ali, E. and Alhumaizi, K. (2010) Robust Model-Based Control of a Tubular Reverse-Osmosis Desalination Unit. Desalination, 255, 129-136.

[24]   Salim, Ohri, J. and Naveen (2013) Speed Control of DC Motor Using Fuzzy Logic Based on LabVIEW. International Journal of Scientific and Research Publications, 3.

[25]   Lu, J.-J., Huang, H.-H. and Chou, H.-P. (2015) Evaluation of an FPGA-Based Fuzzy Logic Control of Feed-Water for ABWR under Automatic Power Regulating. Progress in Nuclear Energy, 79, 22-31.

[26]   Lygouras, J.N., Kodogiannis, V.S., Pachidis, T., Tarchanidis, K.N. and Koukourlis, C.S. (2008) Variable Structure TITO Fuzzy-Logic Controller Implementation for a Solar Air-Conditioning System. Applied Energy, 85, 190-203.

[27]   Altas, I.H. and Sharaf, A.M. (2008) A Novel Maximum Power Fuzzy Logic Controller for Photovoltaic Solar Energy Systems. Renewable Energy, 33, 388-399.

[28]   Chow, T.T., Pei, G., Fong, K.F., Lin, Z., Chan, A.L.S. and Ji, J. (2009) Energy and Energy Analysis of Photovoltaic— Thermal Collector with and without Glasscover. Applied Energy, 86, 310-316.

[29]   Vince, F., Marechal, F., Aoustin, E. and Bréant, P. (2008) Multi-Objective Optimization of RO Desalination Plants. Desalination, 222, 96-118.

[30]   Comakli, K., Cakir, U., Kaya, M. and Bakirci, K. (2012) The Relation of Collector and Storage Tank Size in Solar Heating Systems. Energy Conversion and Management, 63, 112-117.

[31]   Jallouli, R. and Krichen, L. (2012) Sizing, Techno-Economic and Generation Management Analysis of a Standalone Photovoltaic Power Unit including Storage Devices. Energy, 40, 196-209.

[32]   Al-Karaghouli, A. and Kazmerski, L.L. (2013) Energy Consumption and Water Production Cost of Conventional and Renewable Energy Powered Desalination Processes. Renewable and Sustainable Energy Reviews, 24, 343-356.