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Simulated annealing for the optimization of batch distillation processes
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.ORCID iD: 0000-0003-4950-6646
2000 (English)In: Computers and Chemical Engineering, ISSN 0098-1354, E-ISSN 1873-4375, Vol. 24, no 1, 1-8 p.Article in journal (Refereed) Published
Abstract [en]

Batch distillation processes are widely used in the chemical industry. In this work, we consider the optimization of such processes by simulated annealing. Although this method is stochastically in nature, it has two well-known advantages: it can be readily connected to highly sophisticated simulation codes and it converges towards a global optimum. According to the characteristics of batch distillation operation we propose to use a two-step computation approach. A feasible strategy (admissible control) will be searched for in the first step and it will be optimized in the second step. The approach has been applied to a model of a pilot batch distillation plant. These results show the potential of the method for developing optimal operation strategies for batch chemical processes;

Place, publisher, year, edition, pages
2000. Vol. 24, no 1, 1-8 p.
Keyword [en]
batch distillation, simulated annealing, dynamic optimization
Identifiers
URN: urn:nbn:se:kth:diva-19823ISI: 000087575700001OAI: oai:DiVA.org:kth-19823DiVA: diva2:338515
Note
QC 20100525Available from: 2010-08-10 Created: 2010-08-10 Last updated: 2017-12-12Bibliographically approved

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Hanke, Michael

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