Review on modelling and control of desalination system using reverse osmosis
Tóm tắt
Dissolved salts in seawater or brackish water are reduced to a potable level through separation techniques, like, distillation, multiple effect vapor compression, evaporation, or by membrane processes such as electro-dialysis reversal, nano-filtration, and reverse osmosis (RO). RO is the most widely used desalination process. Recent advances in RO technology has led to more efficient separation and now is the most cost effective process to operate. The performance of the reverse osmosis process is dependent on concentration of dissolved solids in the feed-water, feed-water pressure, and the membrane strength to withstand system pressure, membrane solute rejection, membrane fouling characteristics, and the required permeate solute concentration. RO is a promising tool that uses cellulose acetate (or) polyamide membrane and is widely chosen as the cost of production is reduced by the use of energy efficient and process control techniques. This paper presents a review on modelling, identification of parameters from single input-outputs and multi input/output lumped systems, dynamic modelling and control of desalination systems in the past twenty years by collecting more than 60 literatures.
Tài liệu tham khảo
Abbas A (2006) Model predictive control of a reverse osmosis desalination unit. Desalination 194(1–3):268–280
Ahmad AL, Chang MF, Bhatia S (2007) Mathematical modelling of multiple solutes systems for reverse osmosis process in palm mill effluent. J Chem Eng 132(1–3):183–193
Alatiqi IM, Ghabris AH, Ebrahim S (1989) System identification and control of reverse osmosis desalination. Desalination 75(1–3):119–140
Assef JZ, Watters JC, Desphande PB, Alatiqi IM (1995) Advanced control of a reverse osmosis desalination unit. In: Proceedings of international desalination association (IDA) world congress, Abu Dhabi, vol V, 174–188
Assef JZ, Watters JC, Deshpande PB, Alatiqi IM (1997) Advanced control of a reverse osmosis desalination unit. J Proc Contr 7(4):283–289
Bhattacharyya D, Willians ME (1992a) Separation of hazardous organics by low pressure reverse osmosis membrane-phase II, Final Report, EPA Report, EPA/600/2-91/045
Bhattacharyya D, Willians ME (1992b) Introduction and definition-reverse osmosis. In: Ho WSW, Sirkar KK (eds) A membrane handbook. Van Nostrand Reinhold, New York, pp 265–268
Bhattacharyya D, Willians ME (1992c) Thory-reverse osmosis in membrane handbook. In: Ho WSW, Sirkar KK (eds) Membrane handbook. Van Nostrand Reinhold, New York, pp 269–280
Bitter JG (1991) Transport mechanisms in membrane separation processes. Plenum Press, New York Sci, 60, p 275
Bouchard CR, Lebrun RE (1999) Concentration polarization modeling in the maple sap concentration by reverse osmosis. Int J Food Sci Tech 34:217–228
Burden AC, Deshpande PB, Watters JC (2001) Advanced control of a B-9 permasep permeator desalination pilot plant. Desalination 133:271–283
Burghoff H, Lee H, Pusch W (1980) Characterization of transport across cellulose acetate membrane in the presence of strong solute-membrane interactions. J Appl Polym Sci 25:323
Burghoff H, Lee H, Pusch W (1988) Characterization of transport across cellulose acetate fibre reverse osmosis system. Desalination 68:11–28
Chaaben AB, Andouls R (2008) MIMO modelling approach for a small photovoltaic reverse osmosis desalination system. Research unit RME. INSNT North Urban Centre, BP 676, 1080, Tunis, Tunisia
Chen V (1998) Performance of partially permeable microfiltration membranes under low fouling conditions. J Memb Sci 147(2):265–278
Deon S, Dutournie P, Bourseau P (2007) Transfer of monovalent salts through nanofiltration membranes: A model combining transport through pores and the polarization layer. India Engl Chem Res 46(21):6752–6761
Deshmukh R (1989) Adsorption of selected organics on reverse osmosis membranes & its effect on membrane separation characteristics, M.S. Thesis, D. Bhattacharyya, Department of Chemical Engineering, University of Kentucky, Lexington, Kentucky
Dickson JM (1988) Fundamental aspects of reverse osmosis. In: Parekh B (ed) Reverse osmosis technology, vol 35. Marcel Dekker Inc, New York, pp 1–51
Fkirin MA, AI Madhair AF (1997) Prediction of time varying dynamic processes. Int J Qual Reliab Manag 14(5):505–511
Gambier A, Badreddin E (2002) Application of hybrid modelling and control techniques to desalination plants. Desalination 152:175–184
Gambier A, Krasnik A, Badreddin E (2007) Dynamic modelling of a RO desalination plant for advanced control purposes. Am Control Conf 7(9):4854–4859
Garcia A, Medina G (1989) Predicting membrane performance by dimensional analysis. Trans ASAE 32:205
Gekas V, Hallstrom B (1987) Mass transfer in the membrane concentration polarization layer under turbulent cross flow. J Memb Sci 30:153
Johnson G (1980) Overview of theories for water & solute transport in UF/RO membrane. Desalination 35:21
Johnson G, Boesen CE (1975) Water & solute transport through cellulose acetate reverse osmosis membrane. Desalination 17(2):145–165
Kedem O, Katchalsky A (1958) Thermodynamic analysis of the permeability of biological membrane to nonelectrolytes. Biochim Biophys Acta 27:229–233
Kim S, Hoek Eric MV (2005) Modelling concentration polarization in reverse osmosis process. Desalination 186(1–3):111–128
Kothari A (1991) Concentration & purification of hazardous wastes by low pressure composite membrane. Treatment of soil-wash rinsh water leachates. M.S. Thesis, D. Bhattacharyya, Department of Chemical Engineering, University of Kentucky, Lexington, Kentucky
Kulkarni S, Funk E, Li N (1992) Theory & mechanistic concepts. In: Ho W, Sirkar K (eds) Membrane handbook. Van Nostrand Reinhold, New York, pp 398–407
Labbez C, Fievet P, Szymczyk A, Vidonne A, Foissy A, Pagetti J (2002) Analysis of the salt retention of a Titania membrane using the “DSPM” model: effect of pH, salt concentration and nature. J Memb Sci 208(1–2):315–329
Lonsdale H, Merten U, Riley R (1965) Transport properties of cellulose acetate osmotic membranes. J Appl Polym Sci 9:13–41
Marinas Benito J, Urama Richard I (1996) Modelling concentration polarization in reverse osmosis spiral wound elements. J Environ Eng 122(4):292–298
Masaaki S (1996) Study of an analytical model for hollow fiber reverse osmosis module system. Desalination 100(1–3):85–97
Mason EA, Lonsdale H (1990) Statistical-mechanical theory of membrane transport. J Memb Sci 51(1–2):1–81
Matsurra T, Sourirajan S (1981) Reverse osmosis transport through capillary pores under the influence of surface forces. Ind Eng Chem Process Design Dev 20:273
Matthiasson E, Sivik B (1980) Concentration polarization and fouling. Desalination 35:59
Mazid M (1984) Mechanisms of transport through reverse osmosis membranes. Sep Sci Technol 19:357
Mehdizadeh H (1990) Modelling of transport phenomena in reverse osmosis membranes, Dissertation, J. Dickson, Director, Department of Chemical Engineering, McMaster University, Hamilton, Ontario, Canada
Merten U (1966) Transport properties of osmotic membranes. In: Merten U (ed) Desalination by reverse osmosis. MIT Press, Cambridge, pp 15–54
Mohammad AW, Hilal N, Al-Zoubi H, Darwish NA, Ali N (2007) Modelling the effects of nanofiltration membrane properties on system cost assessment for desalination applications. Desalination 206:215–225
Murthy JVP, Gupta SK (1997) Estimation of mass transfer coefficient using a combined nonlinear membrane transport and film theory model. Desalination 109(1):89–99
Pontie M, Dach H, Leparch J, Hafsi M, Lassani A (2008) Novel approach combining physico-chemical characterizations and mass transfer modelling of nanofiltration and low pressure reverse osmosis membranes-for brackish water desalination intensification 221:174–191
Purkait MK, Kumar VD, Maity D (2009) Treatment of leather plant effluent using NF followed by RO & Permeate flux prediction using ANN. Chem Engg J 151(1–3):275–285
Pusch W (1977) Determination of transport parameters of synthetic membranes by hyper filtration experiments. Ber Bunsenges Phys Chem 81(9):269
Pusch W (1986) Measurement techniques of transport through membranes. Desalination 59:105
Rautenbach R, Albrecht R (1989) Membrane processes. Wiley, New York
Rautenbach R, Groschl A (1990) Separation potential of nano filtration membranes. Desalination 77:73–84
Riverol C, Pilipovik V (2005) Mathematical modeling of perfect decoupled control system and its application: a reverse osmosis desalination industrial-scale unit. J Autom Methods Manag Chem 2:50–54
Robertson MW, Watters JC, Desphande PB, Assef JZ, Alatiqi IM (1996) Model based control for reverse osmosis desalination processes. Desalination 104(1–2):59–68
Saengrung A (2002) Modeling of reverse osmosis plants using system identification & neutral networks. J Master Abstr Int 41–03:0856
Sarrade S, Guizard C, Rios GM (2002) Membrane technology and supercritical fluids: chemical engineering for coupled processes. Desalination 144(1–3):137–142
Selvaraj R, Deshpande PB, Tambe SS, Kulkarni BD (1995) Neural networks for the identification of MSF desalination plant. Desalination 101(2):185–193
Senthil Kumar R, Kumaraswamy S, Mani A (2006) Experimental investigation on a two phase jet pump used in desalination systems. Desalination 204(1–3):437–447
Sherwood T, Brain P, Fisher R (1967) Desalination by reverse osmosis. Ind Eng Chem Fundam 6:2
Slater CS, Zielinski JM, Wendel RG, Uchrin CG (1985) Modeling of small scale reverse osmosis system. Desalination 52(3):267–284
Soltaniesh M, Gill WN (1981) Review of reverse osmosis membranes and transport model. Chem Eng Commun 12:279
Sourirajan S (1970) Reverse osmosis. Academic Press, New York
Souriraraja S, Matsuara T (1985) Reverse osmosis/ultra filtration principles. National Research Council of Canada, Ottawa
Spiegler KS, Kedem O (1966) Thermodynamics of hyper filtration reverse osmosis: criteria for efficient membranes. Desalination 1:311
Szymczyk A, Lanteri Y, Fievet P (2009) Modelling the transport of asymmetric electrolytes through nanofiltration membranes. Desalination 245(1–3):396–407
Szymczyk A, Zhu H, Balannec B (2010) Pressure-driven ionic transport through nanochannels with inhomogeneous charge distributions. Langmuir 26(2):1214–1220
Yaroschuck A (2008) Rôle des nanoparticules organiques dans le colmatage membranaire, Benoît Teychené, Doctoral Thesis, University of Toulouse, France, December, 2008
Zilouchian A, Jafar M (2001) Automation and process control for a reverse osmosis plant using soft computing methodology. Desalination 135:51–59