شماره ركورد :
15622
عنوان به زبان ديگر :
Application of Genetic Algorithm in Kinetic Modeling of Fischer-Tropsch Synthesis
پديد آورندگان :
Sarnavi J., Maryam نويسنده , Reshadi Nafise نويسنده
از صفحه :
25
تا صفحه :
34
تعداد صفحه :
10
چكيده لاتين :
Kinetic modeling is an important issue, whose objective is the accurate determination of the rates of various reactions taking place in a reacting system. This issue is a pivotal element in the process design and development particularly for novel processes which are based on reactions taking place between various types of species. The Fischer Tropsch (FT) reactions have been used as the kinetic modeling bench mark. General kinetic models for FT, Water-Gas-Shift (WGS) and overall rates based on Langmuir-Hinshelwood-Hougen-Watson (LHHW) type have been considered and their optimum parameters have been obtained by Genetic Algorithms. The study shows the obtained model outperforms the other alternative models both in generality and accuracy. Due to flexibility and generality ofGenetic Algorithms, it seems that GA is a useful technique with lots ofpotentials in determination ofoptimum kinetic model corresponding to a set ofcomplex reactions.
شماره مدرك :
1199321
لينک به اين مدرک :
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