Modeling and optimizing an electrochemical oxidation process using artificial neural network, genetic algorithm, and particle swarm optimization

Banghai Liu, Chunji Jin, Jiteng Wan, Pengfang Li, Huanxi Yan

Abstract


This study proposes a novel hybrid of artificial neural network(ANN), genetic algorithm (GA), and particle swarm optimization (PSO) to model and optimize pertinent parameters of an electrochemical oxidation (EO) Acid Black 2 process. Back propagation neural network (BPNN) was used as a modeling tool. To avoid over-fitting, GA was applied to improve the generalized capability of BPNN by optimizing the weights. In addition, an optimization model was developed to assess the performance of the EO process, where TOC removal, mineralization current efficiency (MCE), and the energy consumption per unit of TOC (ECTOC) were considered. The operation conditions of EO were further optimized via PSO. The validation results indicted the proposed method to be a promising method to estimate the efficiency and to optimize the parameters of the EO process.


Keywords


electrochemical oxidation; artificial neural network; genetic algo¬rithm; particle swarm optimization, Acid Black 2

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References


H. Li, Z. Shi, C. Zhu, Croat. Chem. Acta 87 (2014) 185

A. Y. Bagastyo, J. Radjenovic, Y. Mu, R. A. Rozendal, D. J. Batstone, K. Rabaey, Water. Res. 45 (2011) 4951

A. Butkovskyi, A. W. Jeremiasse, L. Hernandez Leal, T. van der Zande, H. Rijnaarts, G. Zeeman, Environ. Sci. Technol. 48 (2014) 1893

B. P. Chaplin, Environ. Sci. – Proc. Imp. 16 (2014) 1182

J. Radjenovic, D. L. Sedlak, Environ. Sci. Technol. 49 (2015) 11292

G. Chen, Sep. Purif. Technol. 38 (2004) 11

B. Yang, P. Geng, G. Chen, Sep. Purif. Technol. 156 (2015) 931

Q. Dai, J. Zhou, M. Weng, X. Luo, D. Feng, J. Chen, Sep. Purif. Technol. 166 (2016) 109

X. Quan, Z. Cheng, B. Chen, X. Zhu, J. Environ. Sci. – China 25 (2013) 2023

M. M. Cid-Cerón, D. S. Guzmán-Hernández, M. T. Ramírez-Silva, A. Galano, M. Romero-Romo, M. Palomar-Pardavé, Electrochim. Acta. 199 (2016) 92

G. Ramírez, F. J. Recio, P. Herrasti, C. Ponce-de-León, I. Sirés, Electrochim. Acta 204 (2016) 9

C. Comninellis, C. Pulgarin, J. App. Electrochem. 23 (1993) 108

H. Li, X. Zhu, Y. Jiang, J. Ni, Chemosphere 80 (2014) 845

R. E. Palma-Goyes, F. L. Guzmán-Duque, G. Peñuela, I. González, J. L. Nava, R. A. Torres-Palma, Chemosphere 81 (2010) 26

L. Labiadh, A. Barbucci, M. P. Carpanese, A. Gadri, S. Ammar, M. Panizza, J. App. Electrochem. 766 (2016) 94

H. Li, X. Zhu, J. Ni, Electrochim. Acta 56 (2010) 448

F. Geyikçi, E. Kılıç, S. Çoruh, S. Elevli, Chem. Eng. J. 183 (2012) 53

M. Mohajerani, M. Mehrvar, F. Ein-Mozaffari, Chem. Prod. Process. Model. 6 (2011) 1

J. S. Ahari, M. T. Sadeghi, S. Zarrinpashne, A. Irandoukht, Sci. Iran. 20 (2013) 617

S. Azadi, H. Amiri, G. R. Rakhshandehroo, Waste Manage. 55 (2016) 220

N. Biglarijoo, S. A. Mirbagheri, M. Bagheri, M. Ehteshami, Process. Saf. Environ. 106 (2016) 89

V. A. Sakkas, M. A. Islam, C. Stalikas, T. A. Albanis, J. Hazard. Mater.175 (2010) 33

V. K. Pareek, M. P. Brungs, A. A. Adesina, R. Sharma, J. Photochem. Photobiol., A 149 (2002) 139

L. C. Almeida, S. Garcia-Segura, N. Bocchi, E. Brillas, Appl. Catal., B: Environ. 103 (2011) 21

E. J. Ruiz, C. Arias, E. Brillas, A. Hernández-Ramírez, J. M. Peralta-Hernández, Chemosphere 82 (2011) 495

R. Salazar, S. Garcia-Segura, M. S. Ureta-Zañartu, E. Brillas, Electrochim. Acta 56 (2011) 6371

W. Khongthon, G. Jovanovic, A. Yokochi, P. Sangvanich, V. Pavarajarn, Chem. Eng. J. 292 (2016) 298

K. V. Gernaey, M. C. van Loosdrecht, M. Henze, M. Lind, S. B. Jørgensen, Environ. Modell. Software 19 (2004) 763

A. Wu, Z. Zeng, C. Fu, W. Shen, Neurocomputing 74 (2011) 831

G. D. Garson, AI Expert 6 (1991) 46

M. R. Tanweer, R. Auditya, S. Suresh, N. Sundararajan, N. Srikanth, Swarm. Evol. Comput. 28 (2016) 98

A. Benvidi, S. Abbasi, S. Gharaghani, M. D. Tezerjani, S. Masoum, Food. Chem. 220 (2017) 377.




DOI: http://dx.doi.org/10.2298/JSC170721101L

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