Fuzzy model prediction of Co (III)Al2O3 catalytic behavior in Fischer-Tropsch synthesis

作者: Mohammad Ali Takassi , Mahdi Koolivand Salooki , Morteza Esfandyari

DOI: 10.1016/S1003-9953(10)60240-X

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摘要: Abstract The application of Co (II) Al2O3 catalyst in Fischer-Tropsch synthesis (FTS) was studied a wide range gas conversions and compared with Fuzzy Simulation results. Present study applies fuzzy model to predicting the product composition CH4, CO2 CO process for natural synthesis, which input vector 4-dimension including four variables (operating pressure, operating temperature, time CO/H2 ratio) 70 different experiments output is CO2, CFI4. Mamdani algorithm has been applied training system test set used evaluate performance R2, ARE, AARE SD. results demonstrated that predicted values from were good consistency experimental data. work indicates how inference (FIS), as promising technique, would be effectively FTS.

参考文章(24)
Calvin H. Bartholomew, Chapter 5 Recent Developments in Fischer-Tropsch Catalysis New Trends in Coactivation. ,vol. 64, pp. 158- 224 ,(1991) , 10.1016/S0167-2991(08)60947-7
Enrique Iglesia, Design, synthesis, and use of cobalt-based Fischer-Tropsch synthesis catalysts Applied Catalysis A: General. ,vol. 161, pp. 59- 78 ,(1997) , 10.1016/S0926-860X(97)00186-5
Hualan Li, Jinlin Li, Hekai Ni, Dechen Song, Studies on cobalt catalyst supported on silica with different pore size for Fischer–Tropsch synthesis Catalysis Letters. ,vol. 110, pp. 71- 76 ,(2006) , 10.1007/S10562-006-0086-Y
Ali Nakhaei Pour, Mohammad Reza Housaindokht, Sayyed Faramarz Tayyari, Jamshid Zarkesh, Kinetics studies of nano-structured iron catalyst in Fischer-Tropsch synthesis Journal of Natural Gas Chemistry. ,vol. 19, pp. 441- 445 ,(2010) , 10.1016/S1003-9953(09)60080-3
N. Saghatoleslami, M. K. Salooki, N. Mohamadi, Auto-Design of Neural Network–Based GAs for Manipulating the Khangiran Gas Refinery Sweetening Absorption Column Outputs Petroleum Science and Technology. ,vol. 29, pp. 1437- 1448 ,(2011) , 10.1080/10916460903581351
Mark E Dry, High quality diesel via the Fischer–Tropsch process – a review Journal of Chemical Technology & Biotechnology. ,vol. 77, pp. 43- 50 ,(2002) , 10.1002/JCTB.527
Mohtada Sadrzadeh, Ali Ghadimi, Toraj Mohammadi, Coupling a mathematical and a fuzzy logic-based model for prediction of zinc ions separation from wastewater using electrodialysis Chemical Engineering Journal. ,vol. 151, pp. 262- 274 ,(2009) , 10.1016/J.CEJ.2009.03.003
H YAO, H VUTHALURU, M TADE, D DJUKANOVIC, Artificial neural network-based prediction of hydrogen content of coal in power station boilers Fuel. ,vol. 84, pp. 1535- 1542 ,(2005) , 10.1016/J.FUEL.2005.02.019
Andrei Y Khodakov, Rafeh Bechara, Anne Griboval-Constant, Fischer–Tropsch synthesis over silica supported cobalt catalysts: mesoporous structure versus cobalt surface density Applied Catalysis A-general. ,vol. 254, pp. 273- 288 ,(2003) , 10.1016/S0926-860X(03)00489-7