Optimal operations for large-scale seawater reverse osmosis networks

Journal of Membrane Science

Volumn 476, Issue , 2015, Pages 508-524

  Jiang, Aipeng ^a   Biegler, Lorenz T ^b   Wang, Jian ^a   Cheng, Wen ^a   Ding, Qiang ^a   Jiangzhou, Shu ^a  

^a HANGZHOU DIANZI UNIVERSITY   (China)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Desalination; IPOPT; Network; Operational optimization; Reverse osmosis

Indexed keywords

DESALINATION; ENERGY CONSERVATION; FINITE ELEMENT METHOD; MATHEMATICAL TRANSFORMATIONS; NETWORKS (CIRCUITS); NONLINEAR PROGRAMMING; OPTIMIZATION; REAL TIME SYSTEMS; SEAWATER; SEAWATER EFFECTS; TANKS (CONTAINERS);

DIFFERENTIAL ALGEBRAIC; ENERGY SAVING POTENTIAL; FINITE ELEMENT MESHING; IPOPT; LARGE SCALE NONLINEAR PROGRAMMING PROBLEMS; OPERATIONAL OPTIMIZATION; SEAWATER REVERSE OSMOSIS; SEAWATER REVERSE OSMOSIS SYSTEMS;

REVERSE OSMOSIS;

FRESH WATER; SEA WATER;

ARTICLE; DESALINATION; ELECTRICITY; ENERGY CONSERVATION; ENERGY CONSUMPTION; ENERGY COST; ENERGY RECOVERY; REVERSE OSMOSIS; SALINITY; TANK; TEMPERATURE; WATER QUALITY; WATER SUPPLY;

EID: 84920274384     PISSN: 03767388     EISSN: 18733123     Source Type: Journal    
DOI: 10.1016/j.memsci.2014.12.005     Document Type: Article

References (55)

1. Hawlader M.N.A., Ho J.C., Teng C.K. Desalination of seawater: an experiment with RO membranes. Desalination 2000, 132:275-280.
2. Gray S., Duke S.R., M., Rahardianto A., Cohen Y. seawater Use and Desalination Technology 2011, 73-109. Academic Press, Oxford.
3. Mehdizadeh H. Membrane desalination plants from an energy-exergy viewpoint. Desalination 2006, 191:200-209.
4. Shannon M.A., Bohn P.W., Elimelech M., Georgiadis J.G., Mariñas B.J., Mayes A.M. Science and technology for water purification in the coming decades. Nature 2006, 452:301-310.
5. Wang J.-H., Jiang D., Chen C.-Y., Ma M. 21st Century China water problems and solutions. Territory Nat. Resour. Study 1999, 2:8-10.
6. Desalination Project 2003, Chemical Industry Press, Beijing. S.-C. Wang (Ed.).
7. Wang S.-C., Zhou Q., Wang Z. Development of desalination and reverse osmosis. Membr. Sci. Technol. 2003, 23:162-165.
8. Semiat R. Desalination: present and future. Water Int. 2000, 25:54-65.
9. Greenlee L., Lawler D., Freeman B., Marrot B., Moulin P. Reverse osmosis desalination: water sources, technology, and today's challenges. Water Res. 2009, 43:2317-2348.
10. Yun T., Gabelich C., Cox M., Mofidi A., Lesan R. Reducing costs for large-scale desalting plants using large-diameter reverse osmosis membranes. Desalination 2006, 189:141-154.
11. Scrivani A. Energy management and DSM techniques for a PV-diesel powered sea water reverse osmosis desalination plant in Ginostra, Sicily. Desalination 2005, 183:63-72.
12. Kim Y., Kim S., Kim Y., Lee S., Kim I., Kim J. Overview of systems engineering approaches for a large-scale seawater desalination plant with a reverse osmosis network. Desalination 2009, 238:312-332.
13. Al-Shayji K.A. Modeling, Simulation, and Optimization of Large-scale Commercial Desalination Plants 1998, Polytechnic Institute and State University, Blacksburg: Virginia.
14. Sassi Kamal M., Mujtaba Iqbal M. simulation and optimization of full scale reverse osmosis desalination plant. Comput. Comput. Aided Chem. Eng. 2010, 28:895-900.
15. Palacin L., de Prada C., Tadeo F., Salazar J. Operation of Medium-size Reverse Osmosis Plants with Optimal Energy Consumption, DYCOPS 2010 2010, Leuven, Belgium.
16. Zhu A., Christofides P.D., Cohen Y. Effect of thermodynamic restriction on energy cost optimization of RO membrane water desalination. Ind. Eng. Chem. Res. 2009, 48(13):6010-6021.
17. Zhu A., Christofides P.D., Cohen Y. Energy cost optimization of reverse osmosis membrane water desalination subject to feed salinity fluctuation. Ind. Eng. Chem. Res. 2009, 48:9581-9589.
18. Zhu A., Christofides P.D., Cohen Y. Minimization of energy consumption for a two-pass membrane desalination: effect of energy recovery, membrane rejection and retentate recycling. J. Membr. Sci. 2009, 339:126-137.
19. Li M.-H. Optimal plant operation of brackish water reverse osmosis (BWRO) desalination. Desalination 2012, 293:61-68.
20. Geraldes V., Pereira N.E., Pinho M.N. Simulation and optimization of medium-sized seawater reverse osmosis processes with spiral-wound modules. Ind. Eng. Chem. Res. 2005, 44:1897-1905.
21. Sassi K.M., Mujtaba I.M. Effective design of reverse osmosis based desalination process considering wide range of salinity and seawater temperature. Desalination 2012, 306:8-16.
22. Ghobeity A., Mitsos A. Optimal time-dependent operation of seawater reverse osmosis. Desalination 2010, 263:76-88.
23. Voros N., Marolulis Z.B., Marinos-Kouris D. Optimization of reverse osmosis networks for seawater desalination. Comput. Chem. 1996, 20:345-350.
24. Lu Y.-Y., Hu Y.-D., Xu D.-M., Wu L.-Y. Optimum design of reverse osmosis seawater desalination system considering membrane cleaning and replacing. J. Membr. Sci. 2006, 282:7-13.
25. Lu Y.-Y., Hu Y.-D., Zhang X.-L., Wu L.-Y., Liu Q.-Z. Optimum design of reverse osmosis system under different feed concentration and product specification. J. Membr. Sci. 2007, 287:219-229.
26. Zhu M., El-Halwagi M., Al-Ahmad M. Optimal design and scheduling of flexible reverse osmosis networks. J. Membr. Sci. 1997, 129:161-174.
27. See H., Vassiliadis V., Wilson D. Optimisation of membrane regeneration scheduling in reverse osmosis networks for seawater desalination. Desalination 1999, 125:37-54.
28. See H., Wilson D., Vassiliadis V., Parks G. Design of reverse osmosis (RO) water treatment networks subject to fouling. Water Sci. Technol. 2004, 49:263-270.
29. Du Y.W., Xie L.X., Wang Y.X., et al. optimization of reverse osmosis networks with spiral-wound modules. Ind. Eng. Chem. Res. 2012, 51:11764-11777.
30. Sassi Kamal M., Mujtaba Iqbal M. Optimal operation of RO system with daily variation of freshwater demand and seawater temperature. Chem. Eng. 2013, 59:101-110.
31. Marcovecchio M.G., Aguirre P.A., Scenna N.J. Global optimal design of reverse osmosis networks for seawater desalination: modeling and algorithm. Desalination 2005, 184:259-271.
32. Bartman A., Zhu A., Christofides P.D., Cohen Y. Minimizing energy consumption in reverse osmosis membrane desalination using optimization-based control. J. Proc. Contr. 2010, 20:1261-1269.
33. Qi W., Liu J., Christofides P.D. Supervisory predictive control for long-term scheduling of an integrated wind/solar energy generation and water desalination system. IEEE Trans. Contr. Syst. Technol. 2012, 20:504-512.
34. Cuthrell J.E., Biegler L.T. Simultaneous optimization and solution methods for batch reactor control profiles. Comput. Chem. Eng. 1989, 13:49-62.
35. Biegler L.T., Cervantes A.M., Wäechter A. Advances in simultaneous strategies for dynamic process optimization. Chem. Eng. Sci. 2002, 57:575-593.
36. Biegler L.T. An overview of simultaneous strategies for dynamic optimization. Chemical Chem. Eng. Process. 2007, 46:1043-1053.
37. Waechter A. An Interior Point Algorithm for Large-scale Nonlinear Optimization With Applications in Process Engineering 2002, (Ph.D. thesis), Carnegie Mellon University, USA.
38. Wachter A., Biegler L.T. On the implementation of a primal-dual interior point filter line search algorithm for large-scale nonlinear programming. Math. Program. 2006, 106:25-57.
39. Kim Y.M., Kim S.J., Kim Y.S., Lee S., Kim I.S., Kim J.H. Overview of systems engineering approaches for a large-scale seawater desalination plant with a reverse osmosis network. Desalination 2009, 238:312-332.
40. Jiang A.-P., Wang J., Biegler L.T., Cheng W., Xing C. Operational cost optimization of full scale SWRO system under multi-parameter variable conditions. Desalination 2014, 355:124-140.
41. Senthilmurugan S., Ahluwalia Aruj, Gupta S.K. Modeling of a Spiral-wound module and estimation of model parameters using numerical technique. Desalination 2005, 173:269-286.
42. Jiang A., Ding Q., Wang J., et al. Mathematical modeling and simulation of SWRO process based on simultaneous method. J. Appl. Math. 2014, (11 pp. Article ID 908569).
43. Kimura S., Sourirajan S. Analysis of data in reverse osmosis with porous cellulose acetate membranes used. AIChE J. 1967, 13:497-503.
44. Marriott J., Sorensen E. A general approach to modeling membrane modules. Chem. Eng. Sci. 2003, 58:4975-4990.
45. Kaghazchi T., Mehri M., Ravanchi M.T., Kargari A. A mathematical modeling of two industrial seawater desalination plants in the Persian Gulf region. Desalination 2010, 252:135-142.
46. Abbas A. Simulation and analysis of an industrial water desalination plant. Chem. Eng. Process. 2005, 44:999-1004.
47. Dacosta A.R., Fane A.G., Wiley D.E. Spacer characterization and pressure drop modeling in spacer-filled channels. J. Membr. Sci. 1994, 62:275-291.
48. Oh H.J., Hwang T.M., Lee S. A simplified simulation model of RO systems for seawater desalination. Desalination 2009, 238:128-139.
49. Van Gauwbergen D., Baeyens J. Macroscopic fluid flow conditions in spiral wound membrane elements. Desalination 1997, 110:287-299.
50. Hasson D., Drak A., Komlos C., Yang Q., Semiat R. Detection of fouling on RO modules by residence time distribution analyses. Desalination 2007, 204:132-144.
51. Cervantes A., Biegler L.T., Large-scale D.A.E. optimization using a simultaneous NLP formulation. AIChE J. 1998, 44:1038-1050.
52. Biegler L.T. Nonlinear Programming: Concepts, Algorithms and Applications to Chemical Processes, Society for Industrial and Applied Mathematics 2010, Cambridge University Press, Pittsburgh, PA.
53. Biegler L.T., Zavala V.M. Large-scale nonlinear programming using IPOPT: an integrating framework for enterprise-wide dynamic optimization. Comput. Chem. Eng. 2009, 33:575-582.
54. Drud A. CONOPT-a large Scale GRG code. ORSA J. Comput. 1992, 6:207-216.
55. Standards for drinking water quality, GB5749-2006, 2006.