| Autor: | Luke E. K. Achenie, Guennadi M. Ostrovski, Y. M. Volin, Anand M. Karalapakkam |
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| Rok vydání: | 2002 |
| Předmět: |
Chemical process
Flexibility (engineering) Mathematical optimization Control and Optimization Process (engineering) Mechanical Engineering Aerospace Engineering Convexity Nonlinear programming Financial engineering Electrical and Electronic Engineering Global optimization Software Uncertainty analysis Civil and Structural Engineering Mathematics |
| Zdroj: | Optimization and Engineering. 3:31-52 |
| ISSN: | 1389-4420 |
| DOI: | 10.1023/a:1016589828369 |
| Popis: | The determination of optimal equipment sizes and operating points that guarantee process flexibility under uncertainty for a chemical process is considered in this paper. The effect of multiextremality of the solution is investigated through a comparative analysis of deterministic methods available in the open literature. All the methods require satisfaction of some convexity (or concavity) conditions, which are difficult to verify for practical problems. To address this issue, we have developed algorithms, which impose fewer requirements on convexity (or concavity) of the problem. For a given region of uncertainty, the proposed algorithms will identify a design (if it exists), which guarantees the flexibility of the chemical process (CP). The method is an extension of the method by G.M. Ostrovsky et al. (Comp. Chem. Eng. vol. 21, 1997). It uses new overestimators of process constraints for chemical process flexibility evaluation. The method is effective, especially when the uncertain region is small. The algorithms are illustrated through the analysis of two model examples. |
| Databáze: | OpenAIRE |
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