Logic hybrid simulation-optimization algorithm for distillation design |
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Affiliation: | 1. Department of Chemical and Biological Engineering, University of Wisconsin-Madison 1415 Engineering Dr., Madison, WI 53706, USA;2. DOE Great Lakes Bioenergy Research Center, University of Wisconsin, Madison, Wisconsin 1552 University Avenue, Madison, WI 53726, USA;1. Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr. 1, D-39106 Magdeburg, Germany;2. Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China |
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Abstract: | In this paper, we propose a novel algorithm for the rigorous design of distillation columns that integrates a process simulator in a generalized disjunctive programming formulation. The optimal distillation column, or column sequence, is obtained by selecting, for each column section, among a set of column sections with different number of theoretical trays. The selection of thermodynamic models, properties estimation, etc. is all in the simulation environment. All the numerical issues related to the convergence of distillation columns (or column sections) are also maintained in the simulation environment. The model is formulated as a Generalized Disjunctive Programming (GDP) problem and solved using the logic based outer approximation algorithm without MINLP reformulation. Some examples involving from a single column to thermally coupled sequence or extractive distillation shows the performance of the new algorithm. |
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Keywords: | Distillation Generalized disjunctive programming Simulation Optimization |
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