Multi-objective optimization of seeded batch crystallization processes

Chemical Engineering Science

Volumn 61, Issue 16, 2006, Pages 5282-5295

  Sarkar, Debasis ^a   Rohani, Sohrab ^a   Jutan, Arthur ^a  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

Batch; Crystallization; Dynamic simulation; Genetic algorithm; Multi objective optimization; Population balance model

Indexed keywords

COMPUTER SIMULATION; COOLING; CRYSTALLIZATION; EVOLUTIONARY ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; SUPERSATURATION;

BATCH; MULTI-OBJECTIVE OPTIMIZATION; OBJECTIVE FUNCTIONS; POPULATION BALANCE MODEL;

CRYSTALLIZERS;

COMPUTER SIMULATION; COOLING; CRYSTALLIZATION; CRYSTALLIZERS; EVOLUTIONARY ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; SUPERSATURATION;

EID: 33745235805     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2006.03.055     Document Type: Article

References (39)

1. Ajinkya M.B., and Ray W.H. On the optimal operation of crystallization processes. Chemical Engineering Communications 1 (1974) 181-186
2. Bhaskar V., Gupta S.K., and Ray A.K. Applications of multiobjective optimization in chemical engineering. Reviews in Chemical Engineering 16 (2000) 1-54
3. Chang C.T., and Epstein M.A.F. Identification of batch crystallization control strategies using characteristic curves. A.I.Ch.E Symposium Series 78 215 (1982) 68-75
4. Choong K.L., and Smith R. Optimization of batch cooling crystallization. Chemical Engineering Science 59 (2004) 313-327
5. Choong K.L., and Smith R. Novel strategies for optimization of batch, semi-batch and heating/cooling evaporative crystallization. Chemical Engineering Science 59 (2004) 329-343
6. Chung S.H., Ma D.L., and Braatz R.D. Optimal seeding in batch crystallization. Canadian Journal of Chemical Engineering 77 (1999) 590-596
7. Costa C.B.B., and Filho R.M. Evaluation of optimisation techniques and control variable formulations for a batch cooling crystallization process. Chemical Engineering Science 60 (2005) 5312-5322
8. Costa C.B.B., Maciel M.R.W., and Maciel Filho R.M. Factorial design technique applied to genetic algorithm parameters in a batch cooling crystallization optimisation. Computers and Chemical Engineering 29 (2005) 2229-2241
9. Deb K., Pratap A., Agarwal S., and Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions Evolutionary Computation 6 (2002) 182-197
10. Deb K., Mitra K., Dewri R., and Majumdar S. Towards a better understanding of the epoxy-polymerization process using multi-objective evolutionary computation. Chemical Engineering Science 59 (2004) 4261-4277
11. Feng L., and Berglund K.A. ATR-FTIR for determining optimal cooling curves for batch crystallization of succinic acid. Crystal Growth and Design 2 (2002) 449-452
12. Ge M., Wang Q.G., Chiu M.S., Lee T.H., Hang C.C., and Teo K.H. An effective technique for batch process optimization with application to crystallization. Chemical Engineering Research Design 78 (2000) 99-106
13. Hojjati H., and Rohani S. Cooling and seeding effect on supersaturation and final crystal size distribution (CSD) of ammonium sulphate in a batch crystallizer. Chemical Engineering and Processing 44 (2005) 949-957
14. Hu Q., Rohani S., and Jutan A. Modeling and optimization of batch seeded cooling crystallizers. Computers and Chemical Engineering 29 (2005) 911-918
15. Hu Q., Rohani S., Wang D.X., and Jutan A. Optimal control of a seeded batch crystallizer. Powder Technology 156 (2005) 170-176
16. Hu Q., Rohani S., and Jutan A. New numerical method for solving the dynamic population balance equations. A.I.Ch.E. Journal 51 (2005) 3000-3006
17. Immanuel C.D., and Doyle III F.J. Hierarchical multiobjective strategy for particle-size distribution control. A.I.Ch.E. Journal 49 (2003) 2383-2399
18. Jagadesh D., Kubota N., Yokota M., Doki N., Sato A., and Tavare N. Large and mono-size product crystals from natural cooling mode batch crystallization. Journal of Chemical Engineering of Japan 29 (1996) 865-873
19. Jones A.G. Optimal operation of a batch cooling crystallizer. Chemical Engineering Science 29 (1974) 1075-1087
20. Kasat R.B., Gupta S.K., Kunzru D., and Saraf D.N. Multi-objective optimization of industrial FCC units using elitist nondominated sorting genetic algorithm. Industrial and Engineering Chemistry Research 41 (2002) 4765-4776
21. Kubota N., Doki N., Yokota M., and Sato A. Seeding policy in cooling crystallization. Powder Technology 121 (2001) 31-38
22. Lang Y., Cervantes A.M., and Biegler L.T. Dynamic optimization of a batch cooling crystallization process. Industrial and Engineering Chemistry Research 38 (1999) 1469-1477
23. Lewiner F., Fevotte G., Klein J.P., and Puel F. Improving batch cooling seeded crystallization of an organic weed-killer using on-line ATR FTIR measurement of supersaturation. Journal of Crystal Growth 226 (2001) 348-362
24. Ma D.L., Tafti D.K., and Braatz R.D. Optimal control and simulation of multidimensional crystallization processes. Computers and Chemical Engineering 26 (2002) 1103-1116
25. Miller S.M., and Rawlings J.B. Model identification and control strategies for batch cooling crystallizers. A.I.Ch.E. Journal 40 (1994) 1312-1327
26. Mohameed H.A., Abdel-Jabbar N., Takrouri K., and Nasr A. Model-based optimal cooling strategy for batch crystallization processes. Chemical Engineering Research and Design 81 (2003) 578-584
27. Ramkrishna D. Population Balances: Theory and Applications to Particulate Systems in Engineering (2000), Academic Press, San Diego, CA
28. Randolph, A.D., Larson, M.A., 1988. Theory of Particulate Processes, second ed. Academic Press, New York.
29. Rawlings J.B., Miller S.M., and Witkowski W.R. Model identification and control of solution crystallization process: a review. Industrial and Engineering Chemistry Research 32 (1993) 1275-1296
30. Rawlings J.B., Slink C.W., and Miller S.M. Control of crystallization processes. In: Myerson A.S. (Ed). Handbook of Industrial Crystallization. second ed (2002) 201-230
31. Rohani S., and Bourne J.R. A simplified approach to the operation of a batch crystallizer. Canadian Journal of Chemical Engineering 68 (1990) 795-806
32. Sarkar D., and Modak J.M. Pareto-optimal solutions for multi-objective optimization of fed-batch bioreactors using nondominated sorting genetic algorithm. Chemical Engineering Science 60 (2005) 481-492
33. Sarkar, D., Modak, J.M., 2005b. Optimal design of multiproduct batch chemical plant using NSGA-II. Developments in Chemical Engineering and Mineral Processing, in press (special issue).
34. Shi D., El-Farra N.H., Li M., Mhaskar P., and Christofides P.D. Predictive control of particle size distribution in particulate processes. Chemical Engineering Science 61 (2006) 268-281
35. Silva C.M., and Biscaia Jr. E.C. Genetic algorithm development for multi-objective optimization of batch free-radical polymerization reactors. Computers and Chemical Engineering 27 (2003) 1329-1344
36. Vollmer U., and Raisch J. Control of batch cooling crystallization processes based on orbital flatness. International Journal of Control 76 (2003) 1635-1643
37. Yu W., Hidajat K., and Ray A.K. Optimization of reactive simulated moving bed and varicol systems for hydrolysis of methyl acetate. Chemical Engineering Journal 112 (2005) 57-72
38. Zhang G., and Rohani S. On-line optimal control of a seeded batch crystallizer. Chemical Engineering Science 58 (2003) 1887-1896
39. Zhang Z., Hidajat K., Ray A.K., and Morbidelli M. Multiobjective optimization of SMB and varicol process for chiral separation. A.I.Ch.E. Journal 48 (2002) 2800-2816