Effect of nano-particle size on product distribution and kinetic parameters of Fe/Cu/La catalyst in Fischer-Tropsch synthesis

2010 ◽  
Vol 19 (2) ◽  
pp. 107-116 ◽  
Author(s):  
Ali Nakhaei Pour ◽  
Mohammad Reza Housaindokht ◽  
Sayyed Faramarz Tayyari ◽  
Jamshid Zarkesh
Keyword(s):  
Particle Size ◽  
Kinetic Parameters ◽  
Product Distribution ◽  
Tropsch Synthesis ◽  
Nano Particle ◽  
Fischer Tropsch ◽  
Fischer Tropsch Synthesis

Prediction of Fischer–Tropsch Synthesis Kinetic Parameters Using Neural Networks

2014 ◽  
Vol 9 (2) ◽  
pp. 97-103 ◽  
Author(s):  
Fabiano A. N. Fernandes ◽  
Francisco E. Linhares-Junior ◽  
Samuel J. M. Cartaxo
Keyword(s):  
Neural Networks ◽  
Kinetic Parameters ◽  
Kinetic Mechanism ◽  
Product Distribution ◽  
Operating Conditions ◽  
Tropsch Synthesis ◽  
Polymerization Reaction ◽  
Fischer Tropsch ◽  
Specific Product ◽  
Fischer Tropsch Synthesis

Abstract The kinetic mechanism of the Fischer–Tropsch synthesis (FTS) is complex resembling a polymerization reaction. The kinetic rate constants for initiation, propagation and termination steps and the constants for the equilibrium reactions for methylene formation (in situ monomer) need to be estimated. A mathematical model for the FTS allows for simulating several operating conditions and determining the best operating conditions to produce a specific product distribution, so the kinetic parameters must be statistically valid. This work used neural networks (NNs) to estimate the FTS kinetic parameters, instead of using methods based on least squared error. The results show that NNs with three hidden layers were able to output good estimates of the kinetic parameters with less than 5% of deviation.

Effect of CO Conversion on the Product Distribution of a Co/Al2O3 Fischer–Tropsch Synthesis Catalyst Using a Fixed Bed Reactor

2012 ◽  
Vol 142 (11) ◽  
pp. 1382-1387 ◽  
Author(s):  
Dragomir B. Bukur ◽  
Zhendong Pan ◽  
Wenping Ma ◽  
Gary Jacobs ◽  
Burtron H. Davis
Keyword(s):  
Fixed Bed ◽  
Product Distribution ◽  
Tropsch Synthesis ◽  
Fixed Bed Reactor ◽  
Fischer Tropsch ◽  
Fischer Tropsch Synthesis ◽  
Co Conversion

Modeling the Fischer–Tropsch Product Distribution and Model Implementation

2015 ◽  
Vol 10 (3) ◽  
pp. 147-159 ◽  
Author(s):  
Magne Hillestad
Keyword(s):  
Finite Number ◽  
Product Distribution ◽  
Tropsch Synthesis ◽  
Considerable Reduction ◽  
Fischer Tropsch ◽  
Fischer Tropsch Synthesis ◽  
Component Distribution ◽  
Reduction Of Dimensionality

Abstract The main purpose of this paper is to provide a framework to model a consistent product distribution from the Fischer–Tropsch synthesis. We assume the products follow the Anderson–Schulz–Flory distribution and that there is no chain limitation. Deviation from the ASF distribution is taken into account. In order to implement such a model it is necessary to aggregate reactions into a finite number of reactions and to group components into lumps of components. Here, the component distribution within each lump is described by three parameters, and it is shown how these parameters are modeled. The method gives a considerable reduction of dimensionality and it is demonstrated that the component distribution within the lumps can be reconstructed with accuracy.

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