Ecodesign of Batch Processes: Optimal Design Strategies for Economic and Ecological Bioprocesses
This work deals with the multicriteria cost-environment design of multiproduct batch plants, where the design variables are the equipment item sizes as well as the operating conditions. The case study is a multiproduct batch plant for the production of four recombinant proteins. Given the important combinatorial aspect of the problem, the approach used consists in coupling a stochastic algorithm, indeed a Genetic Algorithm (GA) with a Discrete Event Simulator (DES). To take into account the conflicting situations that may be encountered at the earliest stage of batch plant design, i.e. compromise situations between cost and environmental consideration, a Multicriteria Genetic Algorithm (MUGA) was developed with a Pareto optimal ranking method. The results show how the methodology can be used to find a range of trade-off solutions for optimizing batch plant design.
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Status = Published; Subject = Chimie: Génie chimique; Type = Article; Institution = Other partners: Université Henri Poincaré-Nancy1 - UHP (FRANCE); Institution = Université de Toulouse: Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE); Institution = Université de Toulouse: Université Toulouse III - Paul Sabatier - UT3 (FRANCE); Institution = French research institutions: Centre National de la Recherche Scientifique - CNRS (FRANCE); Institution = Other partners: Institut National Polytechnique de Lorraine - INPL (FRANCE)