One-stage optimization problem with chance constraints

Chemical Engineering Science

Volumn 65, Issue 7, 2010, Pages 2373-2381

  Ostrovsky, G M ^a   Ziyatdinov, N N ^b   Lapteva, T V ^b  

^a KARPOV INSTITUTE OF PHYSICAL CHEMISTRY   (Russian Federation)

^b KAZAN NATIONAL RESEARCH TECHNOLOGICAL UNIVERSITY   (Russian Federation)

Author keywords

Chemical processes; Computation; Mathematical modelling; Optimization; Systems engineering; Uncertainty

Indexed keywords

CHANCE CONSTRAINT; CHEMICAL PROCESS; COMPUTATIONAL EXPERIMENT; CONSTRAINTS SATISFACTION; DESIGN SPECIFICATION; EXPECTED VALUES; INTERNAL AND EXTERNAL FACTORS; MATHEMATICAL MODELLING; MULTIPLE INTEGRAL; NEW APPROACHES; OBJECTIVE FUNCTIONS; OPTIMIZATION PROBLEMS; OPTIMIZATION SYSTEM;

CHEMICAL ENGINEERING; COMPUTER SIMULATION; MATHEMATICAL MODELS; SYSTEMS ENGINEERING;

OPTIMIZATION;

EID: 77649337490     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2009.09.072     Document Type: Article

References (17)

1. Acevedo J., and Pistikopoulos E.N. Stochastic optimization based algorithms for process synthesis under uncertainty. Computers & Chemical Engineering 22 (1998) 647-671
2. Bernardo F.P., and Saraiva P.M. Robust optimization framework for process parameter and tolerance design. AIChE Journal 44 (1998) 2007-2117
3. Bernardo F.P., Pistikopoulos E.N., and Saraiva P.M. Integration and computational issues in stochastic design and planning optimization problems. Industrial and Engineering Chemistry Research 38 (1999) 3056-3068
4. Biegler L.T., Grossmann I.E., and Westerberg A.W. Systematic Methods of Chemical Process Design (1997), Prentice-Hall, Upper Saddle River, New Jersey
5. Call P., and Wallace S.W. Stochastic Programming (1994), Wiley, New York
6. Carnahan B.H., Luther A., and Wilkes J.O. Applied Numerical Methods (1969), Wiley, New York
7. Diwaker U.M., and Kalagnanam J.R. An efficient sampling technique for optimization under uncertainty. AIChE Journal 43 (1997) 440-447
8. Grossmann I.E., and Floudas C.A. Active constraints strategy for flexibility analysis in chemical processes. Computers & Chemical Engineering 11 (1987) 675-693
9. Halemane K.P., and Grossmann I.E. Optimal process design under uncertainty. AIChE Journal 29 (1983) 425-433
10. Hettich R., and Kortanek K.O. Semi-infinite programming: theory, methods and applications. SIAM Review 35 (1993) 380-429
11. Li P., Arellano-Garcia H., and Wozny G. Chance constrained programming approach to process optimization under uncertainty. Computers & Chemical Engineering 32 (2008) 25-45
12. Maranas K. Optimal molecular design under property prediction uncertainty. AIChE Journal 43 (1997) 1250-1264
13. Ostrovsky G.M., Datskov I.V., Achenie L.E.K., and Volin Yu.M. Process uncertainty: case of insufficient process data at the operation stage. AIChE Journal 49 (2003) 1216-1232
14. Pintaric, N., Kravanja, Z., 2004. A strategy for MINLP synthesis of flexible and operable processes. Computers Chemical Engineering 28 (6-7), 1087-1103.
15. Swaney R.E., and Grossmann I.E. An index for operational flexibility in chemical process design. AIChE Journal 31 (1985) 621-630
16. Wendt M., Li P., and Wozny G. Nonlinear chance-constrained process optimization under uncertainty. Industrial and Engineering Chemistry Research 41 (2002) 3621-3629
17. Wey, J., Realff, M.J., 2004. Sample average approximation method for stochastic MINLPs. Computers Chemical Engineering 28 (3), 319-332.