期刊
COMPUTERS & CHEMICAL ENGINEERING
卷 131, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2019.106583
关键词
Process optimization; Mixed-integer nonlinear programming (MINLP); Aspen Plus; modified Generalized Benders Decomposition (mGBD); Extractive distillation; Ethanol-water separation
A modified Generalized Benders Decomposition (mGBD) algorithm for the mixed-integer nonlinear problem (MINLP) optimization of distillation processes is presented and applied to the optimization of an extractive distillation process in Aspen Plus. The mGBD algorithm is implemented in Visual Basic for Applications and communicates via a COM interface with Aspen Plus. The mGBD algorithm accounts for nonconvexities of the MINLP problem by employing the so-called discard-fix-and-decompose strategy. Optimization runs starting from four different integer sets demonstrate that the algorithm can find high-quality solutions independent of the initial integer values. The advantage of the mGBD algorithm is that the Aspen Plus RadFrac model can be used with minor customizations. (C) 2019 Elsevier Ltd. All rights reserved.
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