Optimal simulation-based operations planning with quantitative safety constraints

Industrial and Engineering Chemistry Research

Volumn 38, Issue 6, 1999, Pages 2364-2374

  Asprey, Steven P ^a   Batres, Rafael ^a   Fuchino, Tetsuo ^a   Naka, Yuji ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACCIDENT PREVENTION; CHEMICAL ENGINEERING; CHEMICAL OPERATIONS; CONSTRAINT THEORY; OPERATIONS RESEARCH; OPTIMIZATION; STRATEGIC PLANNING; SYSTEMS ANALYSIS;

DYNAMIC SIMULATION; OPERATING PROCEDURE SYNTHESIS; QUANTITATIVE SAFETY CONSTRAINTS;

COMPUTER SIMULATION;

PROPYLENE;

ARTICLE; CHEMICAL ANALYSIS; CHEMICAL BINDING; DYNAMICS; MATHEMATICAL ANALYSIS; QUANTITATIVE ASSAY; REGULATORY MECHANISM; SAFETY; SIMULATION; SYNTHESIS;

EID: 0032599851     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie980708a     Document Type: Article

References (23)

1. Lakshmanan, R.; Stephanopoulos, G. Synthesis of Operating Procedures for Complete Chemical Plants - I. Hierarchical, Structured Modeling for Nonlinear Planning. Comput. Chem. Eng. 1988, 12, 985.
2. Naka, Y.; Lu, M. L.; Takiyama, H. Operational Design for Start-up of Chemical Processes. Comput. Chem. Eng. 1997, 21, 997.
3. Fusillo, R. H.; Powers, G. J. A Synthesis Method for Chemical Plant Operating Procedures. Comput. Chem. Eng. 1987, 11, 369.
4. Fusillo, R. H.; Powers, G. J. Operating Procedure Synthesis Using Local Models and Distributed Goals. Comput. Chem. Eng. 1988, 12, 1023.
5. Lakshmanan, R.; Stephanopoulos, G. Synthesis of Operating Procedures for Complete Chemical Plants - II. A Nonlinear Planning Methodology. Comput. Chem. Eng. 1988, 12, 1003.
6. Lakshmanan, R.; Stephanopoulos, G. Synthesis of Operating Procedures for Complete Chemical Plants - III. Planning in the Presence of Qualitative Mixing Constraints. Comput. Chem. Eng. 1990, 14, 301.
7. Li, H. S.; Lu, M. L.; Naka, Y. A Two-Tier Methodology for Synthesis of Operating Procedures. Comput. Chem. Eng. 1997, 21S, S899.
8. Lee, J. J.; Norris, W. D., II; Fishwick, P. A. An Object-Oriented Multi-Model Design for Integrating Simulation and Planning Tasks. J. Sys. Eng. 1993, 3, 220.
9. Galán, S.; Barton, P. I. Dynamic Optimization Formulations for Operating Procedure Synthesis. Presented at the AIChE Annual Meeting, Los Angeles, CA, Nov 1997.
10. Korf, R. E. Artificial Intelligence Search Algorithms. In The CRC Handbook of Algorithms and Theory of Computation; Atallah, M. J., Ed.; CRC Press: Boca Raton, FL, 1998.
11. McAllester, D. Graph Search and STRIPS Planning. Lecture Notes on Artificial Intelligence, available at http://ww-w.research.att.com/~dmac/notes/, 1994.
12. Kocis, G. R.; Grossman, I. E. Global Optimization of Non-Convex MINLP Problems in Process Synthesis. Ind. Eng. Chem. Res. 1988, 27, 1407.
13. Ryoo, H. S.; Sahinidis, N. V. Gobal Optimization of Non-Convex NLPs and MINLPs with Applications in Process Design. Comput. Chem. Eng. 1995, 19, 551.
14. Avraam, M. P.; Shah, N.; Pantelides, C. C. Modelling and Optimization of General Hybrid Systems in the Continuous Time Domain. Comput. Chem. Eng. 1998, 22S, S221.
15. Center for Chemical Process Safety (CCPS). Guidelines for Safe Process Operations and Maintenance; AIChE: New York, 1995.
16. Dierckx, P. A Fast Algorithm for Smoothing Data on a Rectangular Grid While using Spline Functions. SIAM J. Numer. Anal. 1982, 19, 1286.
17. Barak, P. Smoothing and Differentiation by an Adaptive-Degree Polynomial Filter. Anal. Chem. 1995, 67, 2758.
18. Metropolis, N.; Rosenbluth, A.; Rosenbluth, M.; Teller, A.; Teller, E. Equation of State Calculations by Fast Computing Machines. J. Chem. Phys. 1963, 21, 1087.
19. Cardoso, M. F.; Salcedo, R. L.; Feyo De Azevedo, S. The Simplex-Simulated Annealing Approach to Continuous Nonlinear Optimization. Comput. Chem. Eng. 1996 20, 1065.
20. Press, W. H.; Teukolsky, S. A. Simulated Annealing Optimization Over Continuous Spaces. Comput. Phys. 1991, 5, 426.
21. Corana, A.; Marchesi, M.; Martini, C.; Ridella, S. Minimizing Multimodal Functions of Continuous Variables With the Simulated Annealing Algorithm. ACM Trans. Math. Software 1987, 13, 263.
22. Nelder, J. A.; Mead, R. A Simplex Method for Function Minimization. Comput. J. 1984, 7, 308.
23. Goffe, W. L.; Ferrier, G. D.; Rogers, J. Global Optimization of Statistical Functions with Simulated Annealing. J. Econ. 1994, 60, 65.