Modeling and optimization of Fischer-Tropsch synthesis in the presence of Co (III)/Al2O3 catalyst using artificial neural networks and genetic algorithm

Journal of Natural Gas Science and Engineering

Volumn 10, Issue , 2013, Pages 14-24

  Adib, Hooman ^a   Haghbakhsh, Reza ^a   Saidi, Majid ^a   Takassi, Mohammad Ali ^b   Sharifi, Fatemeh ^c   Koolivand, Mehdi ^d   Rahimpour, Mohammad Reza ^a   Keshtkari, Simin ^a  

^a SHIRAZ UNIVERSITY   (Iran)

^b PETROLEUM UNIVERSITY OF TECHNOLOGY   (Iran)

^c ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

^d National Iranian South Oil Field Company   (Iran)

Author keywords

Artificial neural network; Catalyst; Fischer Tropsch synthesis; Genetic algorithm

Indexed keywords

CORRELATION COEFFICIENT; DECISION PARAMETERS; ESTIMATION TECHNIQUES; FISCHER-TROPSCH PROCESS; GAS CONVERSION; INPUT PARAMETER; MODELING AND OPTIMIZATION; MOLAR PERCENTAGE; NEURAL NETWORKS AND GENETIC ALGORITHMS; OPERATING PRESSURE; OPERATION TIME; OPERATIONAL PARAMETERS; OPTIMUM VALUE; TRIAL AND ERROR;

CARBON MONOXIDE; CATALYSTS; COAL LIQUEFACTION; FISCHER-TROPSCH SYNTHESIS; GENETIC ALGORITHMS; HYDROCARBONS; HYDROGEN; NEURAL NETWORKS;

CARBON DIOXIDE;

EID: 84870367329     PISSN: 18755100     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jngse.2012.09.001     Document Type: Article

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