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Optimal design and control of a reactive distillation system
Authors:P Panjwani  M Schenk  M C Georgiadis
Affiliation:1. Imperial College London, Centre for Process Systems Engineering, Department of Chemical Engineering , South Kensington Campus, Roderic Hill Building, London, UK;2. Air Products PLC , Molesey Road, Walton-on-Thames, Surrey, UK;3. Imperial College London, Centre for Process Systems Engineering, Department of Chemical Engineering , South Kensington Campus, Roderic Hill Building, London, UK
Abstract:This article presents the design and control of a reactive distillation system utilizing recent advances in mixed integer dynamic optimization. A high fidelity dynamic model is used to predict the behavior of the process under time-varying disturbances. Design and control decisions, involving both discrete and continuous variables, are simultaneously optimized leading to a more economically attractive and better controlled system than that obtained by following a sequential optimization approach. It is shown that the resulting design and control scheme can guarantee feasible operation under bounded uncertainty at a minimum total average cost, representing ~17% savings over the original design.
Keywords:Mixed-integer dynamic optimization  Reactive distillation  Process design and control
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