A formulation methodology for multicomponent distillation sequences based on stochastic optimization |
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Authors: | Fei Wang Yiqing Luo Xigang Yuan |
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Affiliation: | 1.Chemical Engineering Research Center, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China;2.State Key Laboratory of Chemical Engineering, Tianjin University, Tianjin 300072, China |
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Abstract: | Based on stochastic optimization strategy, a formulation methodology is proposed for synthesizing distillation column sequences, allowing more than one middle component as the distributing components between a pair of key components in the non-sharp split. In order to represent and manipulate the distillation configuration structures, a new coding procedure is proposed in the form of one-dimensional array. Theoretically, an array can represent any kind of split (non-sharp and sharp).With the application of a binary sort tree approach, a robust flow sheet encoding and decoding procedure is developed so that the problem formulation and solution becomes tractable. In this paper, the synthesis problem is formulated as a mixed-integer nonlinear programming (MINLP) problem and an improved simulated annealing approach is adopted to solve the optimization problem. Besides, a shortcut method is applied to the evaluation of all required design parameters as well as the total function. |
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Keywords: | Distillation sequences synthesis Non-sharp separation Simulated annealing MINLP Binary sort tree |
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