Modelling COD Removal from Slaughterhouse Wastewater by Electrocoagulation Using Response Surface Methodology

Kouakou Eric Adou; Bi Gouessé Henri Briton; Ahissan Donatien Ehouman; Kopoin Adouby; Patrick Drogui

doi:doi:10.11648/j.ajche.20210906.14

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Modelling COD Removal from Slaughterhouse Wastewater by Electrocoagulation Using Response Surface Methodology

Kouakou Eric Adou, Bi Gouessé Henri Briton, Ahissan Donatien Ehouman, Kopoin Adouby, Patrick Drogui

Published in American Journal of Chemical Engineering (Volume 9, Issue 6)

Received: 22 October 2021 Accepted: 30 November 2021 Published: 9 December 2021

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Abstract

Modeling is an indispensable tool for a better wastewater treatment strategy. However, the modelling of slaughterhouse wastewater treatment by electrocoagulation can be difficult to achieve because of the various physico-chemical mechanisms involved. It is in this context that the objective of this study was to model and optimize COD removal and electrical energy consumption by response surface methodology (RSM) during the treatment of slaughterhouse wastewater by electrocoagulation (EC). For this purpose, a full factorial design (FD) was first used to observe the effect of experimental parameters (stirring speed, pH, time and current intensity) on COD removal and energy consumption. Then, a central composite design (CCD) was performed to optimize COD removal and electrical energy consumption. The optimum conditions are obtained at the stirring speed of 871 rpm, pH = 6.83; time of 80 min and current intensity of 1.85 A. By applying these optimal conditions for the treatment, reductions of 84 ± 1.08% of COD; 93.86 ± 0.91% of BOD; 97.80 ± 0.86% of turbidity and 99.62 ± 0.12% of PO₄^3- and an energy consumption of 9 KWh.m^-3 were obtained. Thus, this study reveals that RSM is an effective tool for the modeling and optimization of electrocoagulation.

Published in	American Journal of Chemical Engineering (Volume 9, Issue 6)
DOI	10.11648/j.ajche.20210906.14
Page(s)	154-161
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

Slaughterhouse Wastewater, Response Surface Methodology, Electrocoagulation

References

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APA Style

Kouakou Eric Adou, Bi Gouessé Henri Briton, Ahissan Donatien Ehouman, Kopoin Adouby, Patrick Drogui. (2021). Modelling COD Removal from Slaughterhouse Wastewater by Electrocoagulation Using Response Surface Methodology. American Journal of Chemical Engineering, 9(6), 154-161. https://doi.org/10.11648/j.ajche.20210906.14

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ACS Style

Kouakou Eric Adou; Bi Gouessé Henri Briton; Ahissan Donatien Ehouman; Kopoin Adouby; Patrick Drogui. Modelling COD Removal from Slaughterhouse Wastewater by Electrocoagulation Using Response Surface Methodology. Am. J. Chem. Eng. 2021, 9(6), 154-161. doi: 10.11648/j.ajche.20210906.14

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AMA Style

Kouakou Eric Adou, Bi Gouessé Henri Briton, Ahissan Donatien Ehouman, Kopoin Adouby, Patrick Drogui. Modelling COD Removal from Slaughterhouse Wastewater by Electrocoagulation Using Response Surface Methodology. Am J Chem Eng. 2021;9(6):154-161. doi: 10.11648/j.ajche.20210906.14

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@article{10.11648/j.ajche.20210906.14,
  author = {Kouakou Eric Adou and Bi Gouessé Henri Briton and Ahissan Donatien Ehouman and Kopoin Adouby and Patrick Drogui},
  title = {Modelling COD Removal from Slaughterhouse Wastewater by Electrocoagulation Using Response Surface Methodology},
  journal = {American Journal of Chemical Engineering},
  volume = {9},
  number = {6},
  pages = {154-161},
  doi = {10.11648/j.ajche.20210906.14},
  url = {https://doi.org/10.11648/j.ajche.20210906.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajche.20210906.14},
  abstract = {Modeling is an indispensable tool for a better wastewater treatment strategy. However, the modelling of slaughterhouse wastewater treatment by electrocoagulation can be difficult to achieve because of the various physico-chemical mechanisms involved. It is in this context that the objective of this study was to model and optimize COD removal and electrical energy consumption by response surface methodology (RSM) during the treatment of slaughterhouse wastewater by electrocoagulation (EC). For this purpose, a full factorial design (FD) was first used to observe the effect of experimental parameters (stirring speed, pH, time and current intensity) on COD removal and energy consumption. Then, a central composite design (CCD) was performed to optimize COD removal and electrical energy consumption. The optimum conditions are obtained at the stirring speed of 871 rpm, pH = 6.83; time of 80 min and current intensity of 1.85 A. By applying these optimal conditions for the treatment, reductions of 84 ± 1.08% of COD; 93.86 ± 0.91% of BOD; 97.80 ± 0.86% of turbidity and 99.62 ± 0.12% of PO43- and an energy consumption of 9 KWh.m-3 were obtained. Thus, this study reveals that RSM is an effective tool for the modeling and optimization of electrocoagulation.},
 year = {2021}
}

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TY  - JOUR
T1  - Modelling COD Removal from Slaughterhouse Wastewater by Electrocoagulation Using Response Surface Methodology
AU  - Kouakou Eric Adou
AU  - Bi Gouessé Henri Briton
AU  - Ahissan Donatien Ehouman
AU  - Kopoin Adouby
AU  - Patrick Drogui
Y1  - 2021/12/09
PY  - 2021
N1  - https://doi.org/10.11648/j.ajche.20210906.14
DO  - 10.11648/j.ajche.20210906.14
T2  - American Journal of Chemical Engineering
JF  - American Journal of Chemical Engineering
JO  - American Journal of Chemical Engineering
SP  - 154
EP  - 161
PB  - Science Publishing Group
SN  - 2330-8613
UR  - https://doi.org/10.11648/j.ajche.20210906.14
AB  - Modeling is an indispensable tool for a better wastewater treatment strategy. However, the modelling of slaughterhouse wastewater treatment by electrocoagulation can be difficult to achieve because of the various physico-chemical mechanisms involved. It is in this context that the objective of this study was to model and optimize COD removal and electrical energy consumption by response surface methodology (RSM) during the treatment of slaughterhouse wastewater by electrocoagulation (EC). For this purpose, a full factorial design (FD) was first used to observe the effect of experimental parameters (stirring speed, pH, time and current intensity) on COD removal and energy consumption. Then, a central composite design (CCD) was performed to optimize COD removal and electrical energy consumption. The optimum conditions are obtained at the stirring speed of 871 rpm, pH = 6.83; time of 80 min and current intensity of 1.85 A. By applying these optimal conditions for the treatment, reductions of 84 ± 1.08% of COD; 93.86 ± 0.91% of BOD; 97.80 ± 0.86% of turbidity and 99.62 ± 0.12% of PO43- and an energy consumption of 9 KWh.m-3 were obtained. Thus, this study reveals that RSM is an effective tool for the modeling and optimization of electrocoagulation.
VL  - 9
IS  - 6
ER  -

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Author Information

Kouakou Eric Adou

Polytechnical Doctoral School, Félix Houphouet-Boigny National Polytechnical Institute, Yamoussoukro, Ivory Coast
Bi Gouessé Henri Briton

Polytechnical Doctoral School, Félix Houphouet-Boigny National Polytechnical Institute, Yamoussoukro, Ivory Coast
Ahissan Donatien Ehouman

Laboratory of Thermodynamics and Physico-Chemistry of the Environment, Nangui-Abrogoua University, Abidjan, Ivory Coast
Kopoin Adouby

Polytechnical Doctoral School, Félix Houphouet-Boigny National Polytechnical Institute, Yamoussoukro, Ivory Coast
Patrick Drogui

National Institute for Scientific Research (INRS Water Earth and Environment), University of Quebec, Quebec City, Canada

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APA Style

Kouakou Eric Adou, Bi Gouessé Henri Briton, Ahissan Donatien Ehouman, Kopoin Adouby, Patrick Drogui. (2021). Modelling COD Removal from Slaughterhouse Wastewater by Electrocoagulation Using Response Surface Methodology. American Journal of Chemical Engineering, 9(6), 154-161. https://doi.org/10.11648/j.ajche.20210906.14

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ACS Style

Kouakou Eric Adou; Bi Gouessé Henri Briton; Ahissan Donatien Ehouman; Kopoin Adouby; Patrick Drogui. Modelling COD Removal from Slaughterhouse Wastewater by Electrocoagulation Using Response Surface Methodology. Am. J. Chem. Eng. 2021, 9(6), 154-161. doi: 10.11648/j.ajche.20210906.14

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AMA Style

Kouakou Eric Adou, Bi Gouessé Henri Briton, Ahissan Donatien Ehouman, Kopoin Adouby, Patrick Drogui. Modelling COD Removal from Slaughterhouse Wastewater by Electrocoagulation Using Response Surface Methodology. Am J Chem Eng. 2021;9(6):154-161. doi: 10.11648/j.ajche.20210906.14

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@article{10.11648/j.ajche.20210906.14,
  author = {Kouakou Eric Adou and Bi Gouessé Henri Briton and Ahissan Donatien Ehouman and Kopoin Adouby and Patrick Drogui},
  title = {Modelling COD Removal from Slaughterhouse Wastewater by Electrocoagulation Using Response Surface Methodology},
  journal = {American Journal of Chemical Engineering},
  volume = {9},
  number = {6},
  pages = {154-161},
  doi = {10.11648/j.ajche.20210906.14},
  url = {https://doi.org/10.11648/j.ajche.20210906.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajche.20210906.14},
  abstract = {Modeling is an indispensable tool for a better wastewater treatment strategy. However, the modelling of slaughterhouse wastewater treatment by electrocoagulation can be difficult to achieve because of the various physico-chemical mechanisms involved. It is in this context that the objective of this study was to model and optimize COD removal and electrical energy consumption by response surface methodology (RSM) during the treatment of slaughterhouse wastewater by electrocoagulation (EC). For this purpose, a full factorial design (FD) was first used to observe the effect of experimental parameters (stirring speed, pH, time and current intensity) on COD removal and energy consumption. Then, a central composite design (CCD) was performed to optimize COD removal and electrical energy consumption. The optimum conditions are obtained at the stirring speed of 871 rpm, pH = 6.83; time of 80 min and current intensity of 1.85 A. By applying these optimal conditions for the treatment, reductions of 84 ± 1.08% of COD; 93.86 ± 0.91% of BOD; 97.80 ± 0.86% of turbidity and 99.62 ± 0.12% of PO43- and an energy consumption of 9 KWh.m-3 were obtained. Thus, this study reveals that RSM is an effective tool for the modeling and optimization of electrocoagulation.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Modelling COD Removal from Slaughterhouse Wastewater by Electrocoagulation Using Response Surface Methodology
AU  - Kouakou Eric Adou
AU  - Bi Gouessé Henri Briton
AU  - Ahissan Donatien Ehouman
AU  - Kopoin Adouby
AU  - Patrick Drogui
Y1  - 2021/12/09
PY  - 2021
N1  - https://doi.org/10.11648/j.ajche.20210906.14
DO  - 10.11648/j.ajche.20210906.14
T2  - American Journal of Chemical Engineering
JF  - American Journal of Chemical Engineering
JO  - American Journal of Chemical Engineering
SP  - 154
EP  - 161
PB  - Science Publishing Group
SN  - 2330-8613
UR  - https://doi.org/10.11648/j.ajche.20210906.14
AB  - Modeling is an indispensable tool for a better wastewater treatment strategy. However, the modelling of slaughterhouse wastewater treatment by electrocoagulation can be difficult to achieve because of the various physico-chemical mechanisms involved. It is in this context that the objective of this study was to model and optimize COD removal and electrical energy consumption by response surface methodology (RSM) during the treatment of slaughterhouse wastewater by electrocoagulation (EC). For this purpose, a full factorial design (FD) was first used to observe the effect of experimental parameters (stirring speed, pH, time and current intensity) on COD removal and energy consumption. Then, a central composite design (CCD) was performed to optimize COD removal and electrical energy consumption. The optimum conditions are obtained at the stirring speed of 871 rpm, pH = 6.83; time of 80 min and current intensity of 1.85 A. By applying these optimal conditions for the treatment, reductions of 84 ± 1.08% of COD; 93.86 ± 0.91% of BOD; 97.80 ± 0.86% of turbidity and 99.62 ± 0.12% of PO43- and an energy consumption of 9 KWh.m-3 were obtained. Thus, this study reveals that RSM is an effective tool for the modeling and optimization of electrocoagulation.
VL  - 9
IS  - 6
ER  -

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