Trichloroethylene Stripping Column Optimal Design by Genetic Algorithm and Multicriteria Decision-Making Strategies

Adama Ouattara; Kouacou Koimbla Francine; Yao Kouassi Benjamin

doi:doi:10.11648/j.ajche.20221006.12

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Trichloroethylene Stripping Column Optimal Design by Genetic Algorithm and Multicriteria Decision-Making Strategies

Adama Ouattara, Kouacou Koimbla Francine, Yao Kouassi Benjamin

Published in American Journal of Chemical Engineering (Volume 10, Issue 6)

Received: 25 October 2022 Accepted: 15 November 2022 Published: 15 December 2022

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Abstract

The optimization of stripping processes requires the simulation of correlations for a preliminary analysis of the system behavior while avoiding complex, costly, and time-consuming manipulations on a reduced scale. This study gives a suitable strategy while selecting stripping column packings. The strategic use of the genetic algorithm NGSAIIb allowed for solving the optimization problems based on environmental and technical-economic criteria of the Trichloroethylene (TCE) stripping column. For that, a numerical procedure was developed on MATLAB software. Then MATLAB software was linked by the mean of the COM protocol to the Multigen library that is an add-in for Microsoft Excel. In the developed strategy the decision-making method, TOPSIS is considered to compare four random packings (Flexiring), (Rashig ring), structured packings (Mellapak Y250), and (Sulzer BX). After the implementation of the strategy on all the packings, the Sulzer BX structured packing was selected as the best one. This section was based on two decision criteria that are, the TCE removal rate of 99.99% and the ratio of the liquid flow to the gas flow of 44.38%. The study shows that the Sulzer BX packing is the least expensive and promotes increased mass transfer and low total column pressure drop. The analysis of the evolution of the mass transfer coefficient according to the liquid flow rate showed that an efficient stripping column must have a ratio of the liquid flow to the gas flow rate strictly lower than 50%.

Published in	American Journal of Chemical Engineering (Volume 10, Issue 6)
DOI	10.11648/j.ajche.20221006.12
Page(s)	121-130
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Genetic Algorithms (GA), Steam Stripping, Wastewater Treatment, Multicriteria Decision Making

References

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APA Style

Adama Ouattara, Kouacou Koimbla Francine, Yao Kouassi Benjamin. (2022). Trichloroethylene Stripping Column Optimal Design by Genetic Algorithm and Multicriteria Decision-Making Strategies. American Journal of Chemical Engineering, 10(6), 121-130. https://doi.org/10.11648/j.ajche.20221006.12

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ACS Style

Adama Ouattara; Kouacou Koimbla Francine; Yao Kouassi Benjamin. Trichloroethylene Stripping Column Optimal Design by Genetic Algorithm and Multicriteria Decision-Making Strategies. Am. J. Chem. Eng. 2022, 10(6), 121-130. doi: 10.11648/j.ajche.20221006.12

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AMA Style

Adama Ouattara, Kouacou Koimbla Francine, Yao Kouassi Benjamin. Trichloroethylene Stripping Column Optimal Design by Genetic Algorithm and Multicriteria Decision-Making Strategies. Am J Chem Eng. 2022;10(6):121-130. doi: 10.11648/j.ajche.20221006.12

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@article{10.11648/j.ajche.20221006.12,
  author = {Adama Ouattara and Kouacou Koimbla Francine and Yao Kouassi Benjamin},
  title = {Trichloroethylene Stripping Column Optimal Design by Genetic Algorithm and Multicriteria Decision-Making Strategies},
  journal = {American Journal of Chemical Engineering},
  volume = {10},
  number = {6},
  pages = {121-130},
  doi = {10.11648/j.ajche.20221006.12},
  url = {https://doi.org/10.11648/j.ajche.20221006.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajche.20221006.12},
  abstract = {The optimization of stripping processes requires the simulation of correlations for a preliminary analysis of the system behavior while avoiding complex, costly, and time-consuming manipulations on a reduced scale. This study gives a suitable strategy while selecting stripping column packings. The strategic use of the genetic algorithm NGSAIIb allowed for solving the optimization problems based on environmental and technical-economic criteria of the Trichloroethylene (TCE) stripping column. For that, a numerical procedure was developed on MATLAB software. Then MATLAB software was linked by the mean of the COM protocol to the Multigen library that is an add-in for Microsoft Excel. In the developed strategy the decision-making method, TOPSIS is considered to compare four random packings (Flexiring), (Rashig ring), structured packings (Mellapak Y250), and (Sulzer BX). After the implementation of the strategy on all the packings, the Sulzer BX structured packing was selected as the best one. This section was based on two decision criteria that are, the TCE removal rate of 99.99% and the ratio of the liquid flow to the gas flow of 44.38%. The study shows that the Sulzer BX packing is the least expensive and promotes increased mass transfer and low total column pressure drop. The analysis of the evolution of the mass transfer coefficient according to the liquid flow rate showed that an efficient stripping column must have a ratio of the liquid flow to the gas flow rate strictly lower than 50%.},
 year = {2022}
}

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TY  - JOUR
T1  - Trichloroethylene Stripping Column Optimal Design by Genetic Algorithm and Multicriteria Decision-Making Strategies
AU  - Adama Ouattara
AU  - Kouacou Koimbla Francine
AU  - Yao Kouassi Benjamin
Y1  - 2022/12/15
PY  - 2022
N1  - https://doi.org/10.11648/j.ajche.20221006.12
DO  - 10.11648/j.ajche.20221006.12
T2  - American Journal of Chemical Engineering
JF  - American Journal of Chemical Engineering
JO  - American Journal of Chemical Engineering
SP  - 121
EP  - 130
PB  - Science Publishing Group
SN  - 2330-8613
UR  - https://doi.org/10.11648/j.ajche.20221006.12
AB  - The optimization of stripping processes requires the simulation of correlations for a preliminary analysis of the system behavior while avoiding complex, costly, and time-consuming manipulations on a reduced scale. This study gives a suitable strategy while selecting stripping column packings. The strategic use of the genetic algorithm NGSAIIb allowed for solving the optimization problems based on environmental and technical-economic criteria of the Trichloroethylene (TCE) stripping column. For that, a numerical procedure was developed on MATLAB software. Then MATLAB software was linked by the mean of the COM protocol to the Multigen library that is an add-in for Microsoft Excel. In the developed strategy the decision-making method, TOPSIS is considered to compare four random packings (Flexiring), (Rashig ring), structured packings (Mellapak Y250), and (Sulzer BX). After the implementation of the strategy on all the packings, the Sulzer BX structured packing was selected as the best one. This section was based on two decision criteria that are, the TCE removal rate of 99.99% and the ratio of the liquid flow to the gas flow of 44.38%. The study shows that the Sulzer BX packing is the least expensive and promotes increased mass transfer and low total column pressure drop. The analysis of the evolution of the mass transfer coefficient according to the liquid flow rate showed that an efficient stripping column must have a ratio of the liquid flow to the gas flow rate strictly lower than 50%.
VL  - 10
IS  - 6
ER  -

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Author Information

Adama Ouattara

Laboratory of Industrial Processes, Syntheses and Renewable Energies, National Polytechnic Institute Houphouet-Boigny, Yamoussoukro, Ivory Coast
Kouacou Koimbla Francine

Laboratory of Industrial Processes, Syntheses and Renewable Energies, National Polytechnic Institute Houphouet-Boigny, Yamoussoukro, Ivory Coast
Yao Kouassi Benjamin

Laboratory of Industrial Processes, Syntheses and Renewable Energies, National Polytechnic Institute Houphouet-Boigny, Yamoussoukro, Ivory Coast

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APA Style

Adama Ouattara, Kouacou Koimbla Francine, Yao Kouassi Benjamin. (2022). Trichloroethylene Stripping Column Optimal Design by Genetic Algorithm and Multicriteria Decision-Making Strategies. American Journal of Chemical Engineering, 10(6), 121-130. https://doi.org/10.11648/j.ajche.20221006.12

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ACS Style

Adama Ouattara; Kouacou Koimbla Francine; Yao Kouassi Benjamin. Trichloroethylene Stripping Column Optimal Design by Genetic Algorithm and Multicriteria Decision-Making Strategies. Am. J. Chem. Eng. 2022, 10(6), 121-130. doi: 10.11648/j.ajche.20221006.12

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AMA Style

Adama Ouattara, Kouacou Koimbla Francine, Yao Kouassi Benjamin. Trichloroethylene Stripping Column Optimal Design by Genetic Algorithm and Multicriteria Decision-Making Strategies. Am J Chem Eng. 2022;10(6):121-130. doi: 10.11648/j.ajche.20221006.12

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@article{10.11648/j.ajche.20221006.12,
  author = {Adama Ouattara and Kouacou Koimbla Francine and Yao Kouassi Benjamin},
  title = {Trichloroethylene Stripping Column Optimal Design by Genetic Algorithm and Multicriteria Decision-Making Strategies},
  journal = {American Journal of Chemical Engineering},
  volume = {10},
  number = {6},
  pages = {121-130},
  doi = {10.11648/j.ajche.20221006.12},
  url = {https://doi.org/10.11648/j.ajche.20221006.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajche.20221006.12},
  abstract = {The optimization of stripping processes requires the simulation of correlations for a preliminary analysis of the system behavior while avoiding complex, costly, and time-consuming manipulations on a reduced scale. This study gives a suitable strategy while selecting stripping column packings. The strategic use of the genetic algorithm NGSAIIb allowed for solving the optimization problems based on environmental and technical-economic criteria of the Trichloroethylene (TCE) stripping column. For that, a numerical procedure was developed on MATLAB software. Then MATLAB software was linked by the mean of the COM protocol to the Multigen library that is an add-in for Microsoft Excel. In the developed strategy the decision-making method, TOPSIS is considered to compare four random packings (Flexiring), (Rashig ring), structured packings (Mellapak Y250), and (Sulzer BX). After the implementation of the strategy on all the packings, the Sulzer BX structured packing was selected as the best one. This section was based on two decision criteria that are, the TCE removal rate of 99.99% and the ratio of the liquid flow to the gas flow of 44.38%. The study shows that the Sulzer BX packing is the least expensive and promotes increased mass transfer and low total column pressure drop. The analysis of the evolution of the mass transfer coefficient according to the liquid flow rate showed that an efficient stripping column must have a ratio of the liquid flow to the gas flow rate strictly lower than 50%.},
 year = {2022}
}

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TY  - JOUR
T1  - Trichloroethylene Stripping Column Optimal Design by Genetic Algorithm and Multicriteria Decision-Making Strategies
AU  - Adama Ouattara
AU  - Kouacou Koimbla Francine
AU  - Yao Kouassi Benjamin
Y1  - 2022/12/15
PY  - 2022
N1  - https://doi.org/10.11648/j.ajche.20221006.12
DO  - 10.11648/j.ajche.20221006.12
T2  - American Journal of Chemical Engineering
JF  - American Journal of Chemical Engineering
JO  - American Journal of Chemical Engineering
SP  - 121
EP  - 130
PB  - Science Publishing Group
SN  - 2330-8613
UR  - https://doi.org/10.11648/j.ajche.20221006.12
AB  - The optimization of stripping processes requires the simulation of correlations for a preliminary analysis of the system behavior while avoiding complex, costly, and time-consuming manipulations on a reduced scale. This study gives a suitable strategy while selecting stripping column packings. The strategic use of the genetic algorithm NGSAIIb allowed for solving the optimization problems based on environmental and technical-economic criteria of the Trichloroethylene (TCE) stripping column. For that, a numerical procedure was developed on MATLAB software. Then MATLAB software was linked by the mean of the COM protocol to the Multigen library that is an add-in for Microsoft Excel. In the developed strategy the decision-making method, TOPSIS is considered to compare four random packings (Flexiring), (Rashig ring), structured packings (Mellapak Y250), and (Sulzer BX). After the implementation of the strategy on all the packings, the Sulzer BX structured packing was selected as the best one. This section was based on two decision criteria that are, the TCE removal rate of 99.99% and the ratio of the liquid flow to the gas flow of 44.38%. The study shows that the Sulzer BX packing is the least expensive and promotes increased mass transfer and low total column pressure drop. The analysis of the evolution of the mass transfer coefficient according to the liquid flow rate showed that an efficient stripping column must have a ratio of the liquid flow to the gas flow rate strictly lower than 50%.
VL  - 10
IS  - 6
ER  -

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