Synthesis of Robust Water Reuse Networks Using Fuzzy Nonlinear Programming: Mass Exchange-Based Processes
Keywords:
Fuzzy nonlinear programming, process integration, water reuse network (WRN)
Abstract
Water consumption and effluent generation in industrial plants can be effectively reduced by maximizing utilization of partially contaminated water. A dual approach consisting of graphical pinch methods for targeting followed by the synthesis of water reuse networks using such techniques as mathematical programming is usually employed. Reliable process data is necessary for successful plant retrofitting. In most cases, however, the necessary limiting concentrations and mass loads must be deduced from limited information. It thus becomes necessary to balance the conflicting objectives of minimizing water usage and of ensuring that sufficient stream concentrations fall within their limiting values. The use of fuzzy nonlinear programming for the synthesis of robust water reuse networks is demonstrated using a four-process case study from the literature. Keywords: Fuzzy nonlinear programming, process integration, and water reuse network (WRN).References
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2. Bagajewicz, M. (2000). "A review of recent design procedures for water networks in refineries and process plants," Comput. Chem. Eng., 24, 2093–2113.
3. Bellmann, R. E., and Zadeh, L. A. (1970). “Decision-making in a fuzzy environment, Manage. Sci., 17, 141-164.
4. Castro, P., Matos, H., Fernandes, M. C., and Pedro Nunes, C. (1999). "Improvements for mass-exchange networks design," Chem. Eng. Sci., 54, 1649–1665.
5. Cremona, C., and Gao, Y. (1997). "The possibilistic reliability theory: Theoretical aspects and applications," Struct. Saf., 19, 173-201.
6. El-Halwagi, M.M. (1997). Pollution prevention through process integration: Systematic design tools, Academic Press, New York.
7. Filion, Y. R., Karney, B. W., and Adams, B. J. (2004). "Multiobjective design of water networks with random loads," Environmental Informatics Archives, 2, 252-257.
8. Hallale, N. (2002). "A new graphical targeting method for wastewater minimisation," Adv. Environ. Res., 6, 377-390.
9. Julien, B. 1994. “An extension to possibilistic linear programming," Fuzzy Set. Syst., 64, 195-206.
10. Lai, Y. J., and Hwang, C. L. (1992). Fuzzy mathematical programming: Methods and applications, Lecture notes in economics and mathematical systems, Berlin, Springer-Verlag.
11. Manan, Z. A., and Foo, C. Y. (2003). "Setting targets for water and hydrogen networks using cascade analysis." American Institute of Chemical Engineers Annual Meeting, San Francisco CA.
12. Olesen, S. G., and Polley, G. T. (1997). “A simple methodology for the design of water networks handling single contaminants," Trans. I. Chem. E., Part A, 75, 420–426.
13. Rommelfanger, H. (1996). "Fuzzy linear programming and applications," Eur. J. Oper. Res., 92, 512-517.
14. Tan, R. R. (2002). "Assessing the sensitivity of wastewater reuse networks to noisy loads using possibility theory." Proceedings of the 2002 Chemical Engineering Congress, Manila, Philippines.
15. Tan, R. R., and Cruz, D. E. (2003). "Synthesis of robust water reuse networks using symmetric fuzzy LP superstructures." Proceedings of the International Conference on Chemical and Bioprocess Engineering, Kota Kinabalu, Malaysia.
16. Tan, R. R., and Cruz, D. E. (2004). "Synthesis of robust water reuse networks for single component retrofit problems using symmetric fuzzy linear programming," Comput. Chem. Eng., 28, 2547-2551.
17. Wang, Y. P., and Smith, R. (1994). "Wastewater minimization," Chem. Eng. Sci., 49, 981-1006.
18. Yang, Y.H., Lou, H.H., and Huang, Y. L. (2000). "Synthesis of an optimal wastewater reuse network," Waste Manage., 20, 311-319.
19. Zimmermann, H. J. (1992). "Methods and applications of fuzzy mathematical programming." In: Yager, R. R., and Zadeh, L. A., eds., An introduction to fuzzy logic applications in intelligent systems, Boston, Kluwer.
Published
2005-12-31
How to Cite
Tan, R. G. R., & Cruz, D. E. (2005). Synthesis of Robust Water Reuse Networks Using Fuzzy Nonlinear Programming: Mass Exchange-Based Processes. ASEAN Journal of Chemical Engineering, 5(1), 22-29. Retrieved from https://journal.ugm.ac.id/v3/AJChE/article/view/7630
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