Controllable optimized designs of an ideal reactive distillation system using genetic algorithm

The steady state economic optimization to obtain the most economical controllable design of a double feed ideal reactive distillation (RD) column is demonstrated using real coded genetic algorithm. The novelty of the work is in the development of a simple procedure based on steady state criteria for...

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Bibliographic Details
Published in:Chemical engineering science 2009-12, Vol.64 (23), p.4929-4942
Main Authors: Suresh Babu, K., Pavan Kumar, M.V., Kaistha, Nitin
Format: Article
Language:English
Subjects:
Applied sciences
Chemical engineering
Controllability
Design optimization
Distillation
Exact sciences and technology
Genetic algorithm
Optimized controllable design
Reactive distillation design
Temperature inferential control
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Summary:The steady state economic optimization to obtain the most economical controllable design of a double feed ideal reactive distillation (RD) column is demonstrated using real coded genetic algorithm. The novelty of the work is in the development of a simple procedure based on steady state criteria for controllability. The optimization is performed for four scenarios corresponding to a sequential increase in the number of design variables. Results show that limiting the optimization search space to only those designs that satisfy the controllability criteria leads to optimized designs that are only slightly (
ISSN:0009-2509
1873-4405
DOI:10.1016/j.ces.2009.07.030