European Journal of Chemistry 2013, 4(2), 110-116 | doi: https://doi.org/10.5155/eurjchem.4.2.110-116.736 | Get rights and content






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Neuro-Fuzzy prediction of alumina-supported cobalt vanadate catalyst behavior in the Fischer-Tropsch process


Mohammad Ali Takassi (1) , Abolfazl Gharibi Kharaji (2,*) , Morteza Esfandyari (3) , Mehdi Koolivand Salooki (4)

(1) Science Department, Petroleum University of Technology, Ahwaz, 6198144471, Iran
(2) Chemical Engineering Department, Petroleum University of Technology, Ahwaz, 6198144471, Iran
(3) Chemical Engineering Department, Ferdowsi University, Mashhad, 9143454532, Iran
(4) Chemical Engineering Department, Tehran University, Tehran, 1855653423, Iran
(*) Corresponding Author

Received: 08 Jan 2013 | Accepted: 23 Jan 2013 | Published: 30 Jun 2013 | Issue Date: June 2013

Abstract


Alumina-supported cobalt vanadate multitransition-metal catalyst was prepared by impregnation method. The catalyst was characterized using X-ray diffraction, Fourier transform infrared spectroscopy, Brunauer-Emmett-Teller, X-ray fluorescence and Transmission electron microscopy. The cobalt/vanadium catalyst was employed for Fischer-Tropsch process in an autoclave reactor. The evaluation of this catalyst occurred at different temperature (423-623 K), over a pressure range of 10-50 bars with the Syngas H2/CO ratio varying from 2 to 6. The catalyst gave a high and selective conversion of syngas into methane. The degree of syngas conversion increased with increasing temperature and pressure. The adaptive Neuro-Fuzzy inference system (ANFIS) model has been applied for the training of the fuzzy system and the test set was applied to evaluate the performance of the system including moving average error (MAE), mean square error (MSE), root mean square error (RMSE) and mean absolute percentage error (MAPE). The results exposed that the predicted values from the model were in good agreement with the experimental data.

4_2_110_116

Keywords


Catalyst; Co-V/Al2O3; ANFIS model; Nano catalyst; Fischer-Tropsch; Neuro-Fuzzy prediction

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DOI: 10.5155/eurjchem.4.2.110-116.736

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Funding information


Iranian Nano Technology Initiative Council and Petroleum University of Technology

Citations

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How to cite


Takassi, M.; Kharaji, A.; Esfandyari, M.; Salooki, M. Eur. J. Chem. 2013, 4(2), 110-116. doi:10.5155/eurjchem.4.2.110-116.736
Takassi, M.; Kharaji, A.; Esfandyari, M.; Salooki, M. Neuro-Fuzzy prediction of alumina-supported cobalt vanadate catalyst behavior in the Fischer-Tropsch process. Eur. J. Chem. 2013, 4(2), 110-116. doi:10.5155/eurjchem.4.2.110-116.736
Takassi, M., Kharaji, A., Esfandyari, M., & Salooki, M. (2013). Neuro-Fuzzy prediction of alumina-supported cobalt vanadate catalyst behavior in the Fischer-Tropsch process. European Journal of Chemistry, 4(2), 110-116. doi:10.5155/eurjchem.4.2.110-116.736
Takassi, Mohammad, Abolfazl Gharibi Kharaji, Morteza Esfandyari, & Mehdi Koolivand Salooki. "Neuro-Fuzzy prediction of alumina-supported cobalt vanadate catalyst behavior in the Fischer-Tropsch process." European Journal of Chemistry [Online], 4.2 (2013): 110-116. Web. 23 Jan. 2020
Takassi, Mohammad, Kharaji, Abolfazl, Esfandyari, Morteza, AND Salooki, Mehdi. "Neuro-Fuzzy prediction of alumina-supported cobalt vanadate catalyst behavior in the Fischer-Tropsch process" European Journal of Chemistry [Online], Volume 4 Number 2 (30 June 2013)

DOI Link: https://doi.org/10.5155/eurjchem.4.2.110-116.736

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