Issue
Korean Journal of Chemical Engineering,
Vol.30, No.5, 988-996, 2013
Design of reverse osmosis networks for multiple freshwater production
Reverse osmosis (RO) desalination, which produces multiple freshwater from seawater, has been studied in this work. An optimization method based on process synthesis has been applied to design the RO system. First, a simplified superstructure that contains all the feasible design for this desalination problem has been presented. In this structural representation, the stream split ratios and the logical expressions of stream mixing were employed, which can make the mathematical model easy to handle. Then, the membrane separation units employing the spiral wound reverse osmosis elements were described by using a pressure vessel model, which takes into account the pressure drop and the concentration changes in the membrane channel. The optimum design problem can be formulated as a mixedinteger non-linear programming (MINLP) problem, which minimizes the total annualized cost of the RO system. The cost equation relating the capital and operating cost to the design variables, as well as the structural variables, has been introduced in the objective function. The problem solution includes the optimal streams distribution, the optimal system structure and the operating conditions. The design method could also be used for the optimal selection of membrane element type in each stage and the optimal number of membrane elements in each pressure vessel. The effectiveness of this design methodology has been demonstrated by solving a desalination case. The comparisons with common industrial approach indicated that the integrative RO system proposed in this work is more economical, which can lead to significant capital cost and energy saving and provide an economically attractive desalination scheme.
[References]
  1. El-Zanati E, Eissa S, Desalination, 165(1-3), 133, 2004
  2. Villafafila A, Mujtaba IM, Desalination, 155(1), 1, 2003
  3. Wade NM, Desalination, 136(1-3), 3, 2001
  4. Wilf M, Bartels C, Desalination, 173(1), 1, 2005
  5. Wilf M, Desalination, 113(2-3), 157, 1997
  6. Marcovecchio MG, Aguirre PA, Scenna NJ, Desalination, 184(1-3), 259, 2005
  7. Redondo JA, Casanas A, Desalination., 134, 134, 2001
  8. Busch M, Mickols WE, Desalination, 165(1-3), 299, 2004
  9. Lu YY, Hu YD, Xu DM, Wu LY, J. Membr. Sci., 282(1-2), 7, 2006
  10. Lu YY, Hu YD, Zhang XL, Wu LY, Liu QZ, J. Membr. Sci., 287(2), 219, 2007
  11. El-Azizi IM, Desalination., 153, 273, 2002
  12. Al-Enezi G, Fawzi N, Desalination., 153, 281, 2002
  13. El-Halwagi MM, AIChE J., 38, 1185, 1992
  14. Zhu MJ, Elhalwagi MM, Alahmad M, J. Membr. Sci., 129(2), 161, 1997
  15. Voros N, Maroulis ZB, Marinoskouris D, Comput. Chem. Eng., 20(S), 345, 1996
  16. Voros NG, Maroulis ZB, Marinoskouris D, J. Membr. Sci., 127(1), 47, 1997
  17. Maskan F, Wiley DE, Johnston LPM, Clements DJ, AIChE J., 46(5), 946, 2000
  18. Nemeth JE, Desalination, 118(1-3), 63, 1998
  19. Van der Meer WGJ, Averink CWA, Desalination., 105, 25, 1996
  20. van der Meer WGJ, Riemersma M, van Dijk JC, Desalination, 119(1-3), 57, 1998
  21. Wessels LP, Van der Meer WGJ, Van Paassen WC, Vos G, Desalination, 119(1-3), 341, 1998
  22. Malek A, Hawlader MNA, Desalination., 105, 245, 1996
  23. Al-Bastaki NM, Abbas A, Desalination, 132(1-3), 181, 2000
  24. Al-Bastaki NM, Abbas A, Desalination, 126(1-3), 33, 1999
  25. Membrane Technical Information, http://www.dow.com/liquidseps/service/lm_techinfo.htm.