摘要
This paper addresses the application of stochastic optimization approaches to the synthesis of heatintegrated complex distillation system, which is characterized by large-scale combinatorial feature. Conventionaland complex columns, thermally coupled (linked) side strippers and side rectifiers as well as heat integration betweenthe different columns are simultaneously considered. The problem is formulated as an MINLP (mixed-integernonlinear programming) problem. A simulated annealing algorithm is proposed to deal with the MINLP problemand a shortcut method is applied to evaluate all required design parameters as well as the total cost function. Twoillustrating examples are presented.
This paper addresses the application of stochastic optimizationapproaches to the synthesis of heat integrated complex distillationsystem, which is characterized by large-scale combinatorial feature.Conventional and complex columns, thermally coupled (linked) sidestrippers and side rectifiers as well as heat integration between thedifferent columns are simultaneously considered. The problem isformulated as an MINLP (mixed-integer nonlinear programming) problem.A simulated annealing algorithm is proposed to deal with the MINLPproblem and a shortcut method is applied to evaluate all requireddesign parameters as well as the total cost function. Twoillustrating examples are presented.
基金
Supported by the National Fundamental Research Development Program of China (No. 2000026308).
