Dietz, Adrian and Schirlin, M and Azzaro-Pantel, Catherine and Pibouleau, Luc and Domenech, Serge Multicriteria optimization of batch plant design and retrofit: application to an industrial fine chemistry case study. (2005) In: The seventh Italian Conference on Chemical and Process Engineering, 15-18 May 2005, Giardini Naxos, Italy.
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In this work, a methodology for multicriteria optimization of batch plant design and retrofit is proposed. It consists in combining a multiobjective Genetic Algorithm (GA) with a Discrete Event Simulator (DES), as was initiated by Dietz et al. (2004). The case study is based on an industrial multiproduct batch plant. Both the monocriterion and multicriteria design and retrofit were implemented. The results showed that the actual batch plant configuration works nearly at its production capacity limit. Besides, the monocriterion study reveals that a batch plant of lower cost operating;:ç in the same conditions can obtain the same production rate. Concerning the retrofitting case, the aim was to adapt the actual batch plant configuration to an increased demand while minimizing investment and adding as much as possible identical equipment items to the actual configuration. The previous developed methodology was applied and several compromise solutions were found.
|Item Type:||Conference or Workshop Item (Paper)|
|Audience (conference):||International conference proceedings|
|Institution:|| Université de Toulouse > Institut National Polytechnique de Toulouse - INPT|
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS
French research institutions > Centre National de la Recherche Scientifique - CNRS
Laboratoire de Génie Chimique - LGC (Toulouse, France) - Procédés Systèmes Industriels (PSI) - Conception Optimisation Ordonnancement des Procédés (COOP)
|Deposited By:||Hélène Dubernard|
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