LAPSE:2021.0131
Published Article
LAPSE:2021.0131
Modeling and Optimization of COD Removal from Cold Meat Industry Wastewater by Electrocoagulation Using Computational Techniques
March 24, 2021
In this paper, electrocoagulation (EC) treatment for the removal of chemical oxygen demand (COD) from cold meat industry wastewater is modeled and optimized using computational techniques. Methods such as artificial neural networks (ANNs) and response surface methodology (RSM), based on the Box−Behnken design using three levels, were employed to calculate the best control parameters for pH (5−9), current density (2−6 mA/cm2) and EC time (20−60 min). Analysis of variance (ANOVA) and 3D graphs revealed that pH and current density are the main parameters used for depicting the EC process. The developed models successfully describe the process with a correlation coefficient of R2 = 0.96 for RSM and R2 = 0.99 for ANN. The models obtained were optimized applying the moth-flame optimization (MFO) algorithm to find the best operating conditions for COD removal. ANN-MFO was used and showed superior COD removal (92.91%) under conditions of pH = 8.9, current density = 6.6 mA/cm2 and an EC time of 38.62 min. The energy consumption with these optimal conditions was 6.92 kWh/m3, with an operational cost of $3.14 (USD)/m3. These results suggest that the proposed computational model can be used to obtain more effective and economical treatments for this type of effluent.
Keywords
artificial neural network, cold meat industry wastewater, computer modeling, electrocoagulation, Optimization, response surface methodology
Suggested Citation
Morales-Rivera J, Sulbarán-Rangel B, Gurubel-Tun KJ, del Real-Olvera J, Zúñiga-Grajeda V. Modeling and Optimization of COD Removal from Cold Meat Industry Wastewater by Electrocoagulation Using Computational Techniques. (2021). LAPSE:2021.0131
Author Affiliations
Morales-Rivera J: School of Engineering and Technological Innovation, University of Guadalajara, Campus Tonalá 45425, Jalisco, Mexico [ORCID]
Sulbarán-Rangel B: School of Engineering and Technological Innovation, University of Guadalajara, Campus Tonalá 45425, Jalisco, Mexico [ORCID]
Gurubel-Tun KJ: School of Engineering and Technological Innovation, University of Guadalajara, Campus Tonalá 45425, Jalisco, Mexico [ORCID]
del Real-Olvera J: Environmental Technology, Center of Research and Assistance in Technology and Design of the State of Jalisco, Normalistas 800, Guadalajara 44680, Jalisco, Mexico [ORCID]
Zúñiga-Grajeda V: School of Engineering and Technological Innovation, University of Guadalajara, Campus Tonalá 45425, Jalisco, Mexico [ORCID]
Journal Name
Processes
Volume
8
Issue
9
Article Number
E1139
Year
2020
Publication Date
2020-09-11
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr8091139, Publication Type: Journal Article
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LAPSE:2021.0131
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doi:10.3390/pr8091139
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Mar 24, 2021
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Mar 24, 2021
 
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Calvin Tsay
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