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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Veröffentlicht in:Chemical engineering & technology Jg. 44; H. 12; S. 2355 - 2364
Hauptverfasser: Wang, Xiao-Hong, Ding, Xin, Du, Peng, Tian, Zeng-Hu, Chen, Jing-Xuan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Frankfurt Wiley Subscription Services, Inc 01.12.2021
Schlagworte:
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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Abstract 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.
AbstractList 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 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.
Author Tian, Zeng-Hu
Du, Peng
Wang, Xiao-Hong
Ding, Xin
Chen, Jing-Xuan
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10.1021/acs.iecr.5b04074
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10.1016/j.memsci.2015.09.032
10.1007/s11814‐008‐0068‐4
10.1016/j.compchemeng.2019.03.028
10.1016/j.cep.2020.107885
10.13838/j.cnki.kjgc.2017.03.029
10.1002/ceat.201900484
10.3303/CET1972019
10.1016/J.BEJ.2021.108070
10.1021/ie800610s
10.16865/j.cnki.1000‐7555.2015.12.005
10.1162/artl.1994.1.439
10.1002/9781118510193
10.1002/ceat.201800226
10.1002/ceat.201300872
10.11949/j.issn.0438‐1157.20151807
10.1016/j.desal.2017.11.026
10.1016/j.jcis.2016.06.009
10.1016/j.cherd.2018.01.042
10.1016/j.compchemeng.2018.05.013
10.4172/2157-7048.1000234
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2019; 196
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References_xml – volume: 3
  start-page: 115
  year: 2017
  end-page: 117
  publication-title: Sci. Mosaic.
– volume: 151
  start-page: 107885
  year: 2020
  publication-title: Chem. Eng. Process.
– volume: 196
  start-page: 311
  year: 2019
  end-page: 319
  publication-title: Energy Convers. Manage.
– volume: 497
  start-page: 108
  year: 2016
  end-page: 119
  publication-title: J. Membr. Sci.
– volume: 6
  start-page: 1
  issue: 3
  year: 2015
  end-page: 10
  publication-title: J. Chem. Eng. Process. Technol.
– volume: 47
  start-page: 8815
  issue: 22
  year: 2008
  end-page: 8822
  publication-title: Ind. Eng. Chem. Res.
– volume: 25
  start-page: 402
  issue: 3
  year: 2008
  end-page: 408
  publication-title: Korean J. Chem. Eng.
– volume: 43
  start-page: 1160
  issue: 6
  year: 2020
  end-page: 1166
  publication-title: Chem. Eng. Technol.
– volume: 41
  start-page: 2024
  issue: 10
  year: 2018
  end-page: 2033
  publication-title: Chem. Eng. Technol.
– year: 2016
– volume: 125
  start-page: 532
  year: 2019
  end-page: 544
  publication-title: Comput. Chem. Eng.
– volume: 478
  start-page: 145
  year: 2016
  end-page: 154
  publication-title: J. Colloids Interface Sci.
– volume: 428
  start-page: 50
  year: 2018
  end-page: 68
  publication-title: Desalination
– volume: 1
  start-page: 439
  issue: 4
  year: 2014
  end-page: 441
  publication-title: Artif. Life
– volume: 55
  start-page: 1043
  issue: 4
  year: 2016
  end-page: 1052
  publication-title: Ind. Eng. Chem. Res.
– volume: 173
  start-page: 108070
  year: 2021
  publication-title: Biochem. Eng. J.
– volume: 132
  start-page: 49
  year: 2018
  end-page: 504
  publication-title: Chem. Eng. Res. Des.
– volume: 117
  start-page: 11
  year: 2018
  end-page: 24
  publication-title: Comput. Chem. Eng.
– volume: 67
  start-page: 289
  issue: S1
  year: 2016
  end-page: 295
  publication-title: CIESC J.
– volume: 274
  start-page: 119034
  year: 2021
  publication-title: Sep. Purif. Technol.
– volume: 31
  start-page: 21
  issue: 12
  year: 2015
  end-page: 27
  publication-title: Highpolymer Mater. Sci. Eng.
– volume: 37
  start-page: 987
  issue: 6
  year: 2014
  end-page: 994
  publication-title: Chem. Eng. Technol.
– year: 2017
– volume: 72
  start-page: 109
  year: 2019
  end-page: 114
  publication-title: Chem. Eng. Trans.
– year: 2013
– ident: e_1_2_7_10_1
  doi: 10.1016/J.SEPPUR.2021.119034
– ident: e_1_2_7_23_1
  doi: 10.1021/acs.iecr.5b04074
– ident: e_1_2_7_15_1
  doi: 10.1016/j.enconman.2019.05.101
– ident: e_1_2_7_16_1
  doi: 10.1016/j.memsci.2015.09.032
– ident: e_1_2_7_19_1
  doi: 10.1007/s11814‐008‐0068‐4
– ident: e_1_2_7_5_1
  doi: 10.1016/j.compchemeng.2019.03.028
– ident: e_1_2_7_20_1
  doi: 10.1016/j.cep.2020.107885
– ident: e_1_2_7_25_1
  doi: 10.13838/j.cnki.kjgc.2017.03.029
– ident: e_1_2_7_22_1
– ident: e_1_2_7_7_1
  doi: 10.1002/ceat.201900484
– ident: e_1_2_7_6_1
  doi: 10.3303/CET1972019
– ident: e_1_2_7_11_1
  doi: 10.1016/J.BEJ.2021.108070
– ident: e_1_2_7_18_1
  doi: 10.1021/ie800610s
– ident: e_1_2_7_13_1
  doi: 10.16865/j.cnki.1000‐7555.2015.12.005
– ident: e_1_2_7_17_1
  doi: 10.1162/artl.1994.1.439
– ident: e_1_2_7_21_1
  doi: 10.1002/9781118510193
– ident: e_1_2_7_2_1
  doi: 10.1002/ceat.201800226
– ident: e_1_2_7_3_1
  doi: 10.1002/ceat.201300872
– ident: e_1_2_7_12_1
  doi: 10.11949/j.issn.0438‐1157.20151807
– ident: e_1_2_7_9_1
  doi: 10.1016/j.desal.2017.11.026
– ident: e_1_2_7_24_1
  doi: 10.1016/j.jcis.2016.06.009
– ident: e_1_2_7_4_1
  doi: 10.1016/j.cherd.2018.01.042
– ident: e_1_2_7_26_1
– ident: e_1_2_7_8_1
  doi: 10.1016/j.compchemeng.2018.05.013
– ident: e_1_2_7_14_1
  doi: 10.4172/2157-7048.1000234
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Snippet A solution strategy of a distillation‐membrane separation process based on genetic programming algorithm (GP) is proposed. It can automatically match diverse...
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SubjectTerms Azeotrope separation
Azeotropes
Benzene
Cyclohexane
Design optimization
Distillation
Distillation‐membrane separation
Genetic algorithms
Genetic programming algorithm
Membrane separation
Membranes
Polyurethane resins
Separation
Title Optimization of a New Integrated Separation Process for Azeotropes Based on Genetic Programming
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