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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 2    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 2,February 2012
Simulation of methanol synthesis from synthesis gas in fixed bed catalytic reactor using mathematical modeling and neural networks
Full Text(PDF, )  PP.162-168  
Parvaneh Nakhostin Panahi, Seyed Mahdi Mousavi, Aligholi Niaei, Ali Farzi, Dariush Salari
methanol synthesis, mathematical modeling, artificial neural network
Recently, methanol synthesis with CO2-rich feed has drawn a lot of attention and research is currently aimed at finding a suitable catalyst for such a task. A pseudo-homogeneous model was developed for fixed bed catalytic methanol reactor based on the reaction mechanisms and mass and energy balance equations. The model utilizes the kinetic equation proposed by Vanden Bussche and Froment in 1996. With the proposed mathematical model, the profile of methanol molar flow rate, H2 and CO2 conversion, methanol yield, and temperature were achieved through the length of catalytic bed reactor. Good agreement was found between model results and industrial data. The proposed model used for calculating of reactor output against variation of the inlet molar flow H2/ CO2 in the feed then modeling of the methanol unit by use of artificial neural networks was done with obtained results from mathematical model.
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