Fuzzy optimization of topologically constrained eco-industrial resource conservation networks with incomplete information

Engineering Optimization

Volumn 43, Issue 3, 2011, Pages 257-279

  Aviso, Kathleen B ^a   Tan, Raymond R ^a   Culaba, Alvin B ^a   Foo, Dominic C Y ^b   Hallale, Nick ^c  

^a DE LA SALLE UNIVERSITY   (Philippines)

^b UNIVERSITY OF NOTTINGHAM MALAYSIA CAMPUS   (Malaysia)

^c AspenTech Ltd UK   (United Kingdom)

Author keywords

eco industrial park; fuzzy optimization; hydrogen recovery; property integration; resource conservation network; water minimization

Indexed keywords

ECO-INDUSTRIAL PARK; FUZZY OPTIMIZATION; HYDROGEN RECOVERY; PROPERTY INTEGRATION; RESOURCE CONSERVATION NETWORK; WATER MINIMIZATION;

COMPUTER SYSTEM RECOVERY; CONSERVATION; CONSTRAINED OPTIMIZATION; HYDROGEN; INDUSTRIAL MANAGEMENT; INTEGER PROGRAMMING; LINEAR PROGRAMMING; NATURAL RESOURCES MANAGEMENT; PARKS; RECOVERY; TOPOLOGY; WATER RESOURCES;

INDUSTRIAL PLANTS;

EID: 79951539502     PISSN: 0305215X     EISSN: 10290273     Source Type: Journal    
DOI: 10.1080/0305215X.2010.486031     Document Type: Article

References (56)

1. Alves, J.J. and Towler, G.P., 2002. Analysis of refinery hydrogen distribution systems. Industrial and Engineering Chemistry Research, 41, 5759-5769. (Pubitemid 35304011)
2. Aviso, K.B., Tan, R.R. and Culaba, A.B., 2010a. Designing eco-industrial water exchange networks using fuzzy mathematical programming. Clean Technologies and Environmental Policy, 12, 353-363.
3. Aviso, K.B., Tan, R.R., Culaba, A.B. and Cruz, J.B., 2010b. Bi-level fuzzy optimization approach for water exchange in eco-industrial parks. Process Safety and Environmental Protection, 88, 31-40.
4. Bandyopadhyay, S., 2006. Source composite curve for waste reduction. Chemical Engineering Journal, 125, 99-110. (Pubitemid 44739378)
5. Chertow, M.R., 2007. Uncovering industrial symbiosis. Journal of Industrial Ecology, 11, 11-30.
6. Chew, I.M.L., Tan, R.R., Ng, D.K.S., Foo, D.C.Y., Majozi, T. and Gouws, J., 2008. Synthesis of direct and indirect interplant water network. Industrial and Engineering Chemistry Research, 47, 9485-9496.
7. Chew, I.M.L. and Foo, D.C.Y., 2009.Automated targeting for inter-plantwater integration. Chemical Engineering Journal, 153, 23-36.
8. Chew, I.M.L, Tan, R.R., Foo, D.C.Y. and Chiu, A.S.F., 2009. Game theory approach to the analysis of inter-plant water integration in an eco-industrial park. Journal of Cleaner Production, 17, 1611-1619.
9. Clark, P.A. and Westerberg, A.W., 1983. Optimization for design problems having more than one objective. Computers and Chemical Engineering, 7, 259-278.
10. Czogala, E. and Zimmermann, H.-J., 1986. Decision making in uncertain environments. European Journal of Operational Research, 23, 202-212.
11. Dubois, D. and Fortemps, P., 1999. Computing improved optimal solutions to max-min flexible constraint satisfaction problems. European Journal of Operational Research, 118, 95-126.
12. Dubois, D., Fargier, H. and Prade, H., 1996. Refinements of the maximin approach to decision-making in a fuzzy environment. Fuzzy Sets and Systems, 81, 103-122. (Pubitemid 126667446)
13. El-Halwagi, M.M., Glasgow, I.M., Qin, X. and Eden, M.R., 2004. Property integration: componentless design techniques and visualization tools. AIChE Journal, 50, 1854-1869. (Pubitemid 38982125)
14. Esty, D. and Porter, M., 1998. Industrial ecology and competitiveness. Journal of Industrial Ecology, 2, 35-43.
15. Feeley, T.J., Skone, T.J., Stiegel, G.J., McNemar, A., Nemeth, M., Schimmoller, B., Murphy, J.T. and Manfredo, L., 2008. Water: A critical resource in the thermoelectric power industry. Energy, 33, 1-11. (Pubitemid 350087492)
16. Foo, D.C.Y., Kazantzi, V., El-Halwagi, M.M. and Manan, Z.A., 2006. Surplus diagram and cascade analysis techniques for targeting property-based material reuse network. Chemical Engineering Science, 61, 2626-2642. (Pubitemid 43255118)
17. Foo, D.C.Y. and Manan, Z.A., 2006. Setting the minimum flowrate targets for utility gases using cascade analysis technique. Industrial and Engineering Chemistry Research, 45, 5986-5995. (Pubitemid 44343095)
18. Foo, D.C.Y., 2008. Flowrate targeting for threshold problems and plant-wide integration for water network synthesis. Journal of Environmental Management, 88, 253-274. (Pubitemid 351639665)
19. Foo, D.C.Y., 2009. State of the art review of pinch analysis techniques for water network synthesis. Industrial and Engineering Chemistry Research, 48, 5125-5159.
20. Frosch, R.A. and Gallopoulos, N.E., 1989. Strategies for manufacturing. Scientific American, 261, 94-102.
21. Gerbens-Leenes, P.W., Hoekstra, A.Y. and van der Meer, T., 2009. The water footprint of energy from biomass: A quantitative assessment of an increasing share of bio-energy in energy supply. Ecological Economics, 68, 1052-1060.
22. Guu, S.-M. and Wu, Y.-K., 1997. Weighted coefficients in two-phase approach for solving the multiple objective programming problems. Fuzzy Sets and Systems, 85, 45-48. (Pubitemid 127699095)
23. Guu, S.-M. andWu,Y.-K., 1999. Two phase approach for solving the fuzzy linear programming problems. Fuzzy Sets and Systems, 107, 191-195. (Pubitemid 129525399)
24. Hallale, N. and Liu, F., 2001. Refinery hydrogen management for clean fuels production. Advances in Environmental Research, 6, 81-98. (Pubitemid 33585856)
25. Heeres, R.R.,Vermeulen,W.J.V. and deWalle, F.B., 2004. Eco-industrial park initiatives in the USA and the Netherlands: first lessons. Journal of Cleaner Production, 12, 985-995.
26. Hul, S., Tan, R.R., Auresenita, J., Fuchino, T. and Foo, D.C.Y., 2007a.Water network synthesis using mutation enhanced particle swarm optimization. Process Safety and Environmental Protection, 85 (B6), 507-514. (Pubitemid 350279528)
27. Hul, S., Tan, R., Auresenia, J., Fuchino, T. and Foo, D.C.Y., 2007b. Synthesis of near-optimal topologically constrained property-based water network using swarm intelligence. Clean Technologies and Environmental Policy, 9, 27-36.
28. Jackson, T. and Clift, R., 1998. Where's the profit in industrial ecology? Journal of Industrial Ecology, 2, 3-5.
29. Jimenez, M. and Bilbao, A., 2009. Pareto-optimal solutions in fuzzy multi-objective linear programming. Fuzzy Sets and Systems, 160, 2714-2721.
30. Kazantzi, V. and El-Halwagi, M.M., 2005. Targeting material reuse via property integration. Chemical Engineering Progress, 101, 28-37. (Pubitemid 44458270)
31. Kim, H. and Lee, T., 2007. Pareto optimality of industrial symbiosis network: Benefit sharing of wastewater neutralization network inYeosu EIP. PSE Asia, August, Xi'an China.
32. Jacob, J., Kaipe, H., Couderc, F. and Paris, J., 2002. Water network analysis in pulp and paper processes by pinch and linear programming techniques. Chemical Engineering Communications, 189, 184-206. (Pubitemid 37293278)
33. Lai,Y.J. and Hwang, C.L., 1992. Interactive fuzzy linear programming. Fuzzy Sets and Systems, 45, 169-183.
34. Liao, Z.,Wu, J., Jiang, B.,Wang, J. andYang,Y., 2007. Design methodology for flexible multiple plant water networks. Industrial and Engineering Chemistry Research, 46, 4954-4963. (Pubitemid 47116488)
35. Lim, S.-R. and Park J.M., 2008. Cooperative water network system to reduce carbon footprint. Environmental Science & Technology, 42, 6230-6236.
36. Lou, H., Kulkarni, M., Singh, A., Huang, Y., 2004. A game theory based approach for emergy analysis of industrial ecosystem under uncertainty. Clean Technologies and Environmental Policy, 6, 156-161.
37. Lovelady, E.M. and El-Halwagi, M.M., 2009. Design and integration of eco-industrial parks for managingwater resources. Environmental Progress and Sustainable Energy, 28, 265-272.
38. Lovelady, E.M., El-Halwagi, M.M., Chew, I.M.L., Ng, D.K.S., Foo, D.C.Y. and Tan, R.R., 2009. A property-integration approach to the design and integration of eco-industrial parks. In: M.M. El-Halgawi and A.A. Lininger (eds) Design for Energy and the Environment. Proceedings of the 7th international conference on foundations of computer-aided process design (FOCAPD) 2009, 7-12 June, Colorado. Boca Raton, FL, 559-568.
39. Mirata, M., 2004. Experiences from early stages of a national industrial symbiosis programme in UK: determinants and coordination challenges. Journal of Cleaner Production, 12, 967-983.
40. Nobel, C.E. and Allen, D.T., 2000. Using geographic information systems (GIS) in industrial water reuse modeling. Process Safety and Environmental Protection, 78, 295-303.
41. Ng, D.K.S., Foo, D.C.Y. and Tan, R.R., 2009. Automated targeting technique for single-impurity resource conservation networks. Part I: Direct reuse/recycle. Industrial and Engineering Chemistry Research, 48, 7637-7646.
42. Ng, D.K.S, Foo, D.C.Y., Tan, R.R., Pau, C.H. and Tan, Y.L., 2009. Automated targeting for conventional and bilateral property-based resource conservation network. Chemical Engineering Journal, 149, 87-101.
43. Nielsen, R., 2006. The little green handbook. NewYork: Picador, 58-81.
44. Olesen, S. and Polley, G., 1996. Dealing with plant geography and piping constraints in water network design. Process Safety and Environmental Protection, 74, 273-276. (Pubitemid 126768732)
45. Piluso, C. and Huang,Y., 2009. Collaborative profitable pollution prevention: an approach for the sustainable development of complex industrial zones under uncertain information. Clean Technologies and Environmental Policy, 11, 307-322.
46. Poplewski, G.,Walczyk, K. and Jezowski, J., 2010. Optimization-based method for calculating water networks with user specified characteristics. Chemical Engineering Research and Design, 88, 109-120.
47. Savelski, M.J. and Bagajewicz, M.J., 2000. On the optimality conditions of water utilization systems in process plants with single contaminants. Chemical Engineering Journal, 55, 5035-5048.
48. Shelley, M.D. and El-Halwagi, M.M., 2000. Componentless design of recovery and allocation systems: a functionalitybased clustering approach. Computers and Chemical Engineering, 24, 2081-2091.
49. Shiklomanov, I.A., 2000. Appraisal and assessment of world water resources. Water International, 25, 11-32.
50. Singh, A. and Lou, H., 2006. Hierarchical Pareto optimization for the sustainable development of industrial ecosystems. Industrial and Engineering Chemistry Research, 45, 3265-3279.
51. Spriggs, H.D., Lowe, E.A., Watz, J., Lovelady, E.M. and El-Halwagi, M.M., 2004. Design and development of ecoindustrial parks. AIChE spring meeting, 25-29 April, New Orleans, LA. Madison, WI: 2420-2430.
52. Tan, R.R., Foo, D.C.Y., Aviso, K.B. and Ng, D.K.S., 2009. The use of graphical pinch analysis for visualizing water footprint constraints in biofuel production. Applied Energy, 86, 605-609.
53. Tudor, T., Adam, E. and Bates, M., 2007. Drivers and limitations for the successful development and functioning of EIPs (eco-industrial parks): A literature review. Ecological Economics, 61, 199-207. (Pubitemid 46329959)
54. Yang, H., Zhou, Y. and Liu, J., 2009. Land and water requirements of biofuel and implications for food supply and the environment in China. Energy Policy, 37, 1876-1885.
55. Zimmermann, H.-J., 1978. Fuzzy programming and linear programming with several objective functions. Fuzzy Sets and Systems, 1, 45-55.
56. Zimmermann, H.-J., 1983. Fuzzy mathematical programming. Computers and Operations Research, 10, 291-298.