Optimization of a New Integrated Separation Process for Azeotropes Based on Genetic Programming

A solution strategy of a distillation‐membrane separation process based on genetic programming algorithm (GP) is proposed. It can automatically match diverse membrane materials according to different azeotropic systems and generate various integrated processes. For the membrane, which is still in th...

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Vydáno v:Chemical engineering & technology Ročník 44; číslo 12; s. 2355 - 2364
Hlavní autoři: Wang, Xiao-Hong, Ding, Xin, Du, Peng, Tian, Zeng-Hu, Chen, Jing-Xuan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Frankfurt Wiley Subscription Services, Inc 01.12.2021
Témata:
Azeotrope separation
Azeotropes
Benzene
Cyclohexane
Design optimization
Distillation
Distillation‐membrane separation
Genetic algorithms
Genetic programming algorithm
Membrane separation
Membranes
Polyurethane resins
Separation
ISSN:0930-7516, 1521-4125
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Shrnutí:A solution strategy of a distillation‐membrane separation process based on genetic programming algorithm (GP) is proposed. It can automatically match diverse membrane materials according to different azeotropic systems and generate various integrated processes. For the membrane, which is still in the experimental research stage, a theoretical prediction method of membrane cost is recommended. Taking the benzene‐cyclohexane system as an example, a GO‐AgNPs/PI membrane and polyurethane membrane were matched, respectively, and the optimal integrated processes can be obtained. The GP strategy provides a strong guidance for the comprehensive design and optimization of distillation‐membrane separation by using various new membranes. A comprehensive solution strategy based on the genetic programming algorithm is established, which is applied to quickly design and study an integrated process of distillation‐membrane separation with the benzene‐cyclohexane azeotropic system as an example. Various membrane materials can be matched automatically according to different azeotropic systems and generate various integrated processes.
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ISSN:0930-7516
1521-4125
DOI:10.1002/ceat.202100352