Global Optimization of Heat Exchanger Networks with Fixed Configuration for Multiperiod Design
The algorithm for global optimization of heat exchanger networks by Quesada and Grossmann  has been extended to multiperiod operation for fixed configuration. Under the assumptions of linear cost function, arithmetic mean driving force and isothermal mixing, the multiperiod problem is an NLP with linear constraints and a nondifferentiable, nonconvex objective function involving linear fractional terms. A modified partitioning rule is used and global optimization properties are retained. Exploiting the fact that an exact approximation is not required for exchangers in non-bottleneck periods leads to a reduction in number of partitions required to reach the global optimum.
KeywordsCalculated Area Incumbent Solution Cold Stream Heat Exchanger Network Linear Cost Function
Unable to display preview. Download preview PDF.
- Brooke A., Kendrick D. and Meeraus A., GAMS: A users Guide, Scientific Press, Palo Alto (1992).Google Scholar
- Daichendt, M.M. and Grossmann, I.E., “Preliminary Screening Procedures for the MINLP Synthesis of Process Systems-II. Heat Exchanger Networks”,Comp. el Chem. Eng, 1994, 18, p 679.Google Scholar
- Dolan, N.B, Cummings, P.T. and LeVan, M.D, “Process Optimization via simulated annealing:Application to Network Design”, AICHE J, 1989, 35, 725–736.Google Scholar
- Floudas,C.A and Grossmann, I.E. “Automatic Generation of Multiperiod Heat Exchanger Network Configurations”, Comp. El Chem. Eng,1987, 11 p 123–142.Google Scholar
- Grossmann, I.E. and Straub, D.A, “Recent Developments in the Evaluation and Optimization of Flexible Chemical Processes”, Proceedings Computer-Oriented Process Engineering (eds. L.Puigjaner and A.Espuna), Elsevier, p49–59, 1991.Google Scholar
- Grossmann, I.E. and Floudas,C.A, “Active constraint strategy for flexibility analysis in chemical processes”, Comp. E4 Chem. Eng,1987, 11 pGoogle Scholar
- Murtagh B.A. and Sanders M.A, MINOS User’s guide, Systems Optimization Laboratory, Department of Operations Research, Stanford University (1985).Google Scholar
- Papalexandri,K.P. and Pistikopoulous, E.N, “Synthesis and Retrofit Design of Operable Heat Exchanger Networks-I. Flexibility and Structural Controllability aspects”, Comput. and Chem. Eng, 1994, 33, p 1718.Google Scholar
- Quesada,I and Grossmann, I.E., “Global Optimization Algorithm for Heat Exchanger Networks”, I e4 EC Research, 1993, 32, p 487.Google Scholar
- Rudd,D.F and Watson C.0 (1968), Strategy of Process Engineering, John Wiley, New York.Google Scholar
- Yee,T.F and Grossmann, I.E., “Simultaneous optimization models for heat integration- II, Heat Exchanger Network Synthesis”, Comput. and Chem. Eng., 1990, 14, 1165–1184.Google Scholar