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

被引：0

作者：

Mohammad Ali Takassi ^{[1
]}

Mahdi Koolivand Salooki ^{[2
]}

Morteza Esfandyari ^{[3
]}

机构：

[1] Department of Science,Petroleum College,Petroleum University of Technology

[2] Oil&Gas Processing Center of Excellence,Chemical Engineering Department,University of Tehran

[3] Department of Chemical Engineering,Faculty of Engineering,Ferdowsi University of Mashad

来源：

Journal of Natural Gas Chemistry | 2011年 / 06期

关键词：

fuzzy inference system; Fischer-Tropsch; natural gas; catalyst; Co(Ⅲ); Al2O3;

D O I：

暂无

中图分类号：

TQ529.2 [间接液化];

学科分类号：

0817 ;

摘要：

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

引用

页码：603 / 610

页数：8

共 2 条

[1] Fischer-Tropsch synthesis over ruthenium-promoted Co/Al2O3 catalyst with different reduction procedures[J]. Ali Karimi,Ali Nakhaei Pour,Farshad Torabi,Behnam Hatami,Ahmad Tavasoli,Mohammad Reza Alaei,Mohammad Irani. Journal of Natural Gas Chemistry. 2010(05)
[2] Prediction of cadmium removal using an artificial neural network and a neuro-fuzzy technique
Singh T.N.
Singh V.K.
Sinha S.
[J]. Mine Water and the Environment, 2006, 25 (4) : 214 - 219

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