Modeling of liquid hydrocarbon products from syngas

Modeling of liquid hydrocarbon products from syngas

Abstract The modeling of hydrocarbon selectivity and CO conversion of the Fischer–Tropsch synthesis over Fe–Ni/Al2O3 catalyst by using coupled artificial neural networks (ANN) and design of experiment (DOE) approaches were investigated. The variable parameters for modeling consisted of the pressure...

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Bibliographic Details
Main Authors: Hossein Atashi, Mohsen Hajisafari, Fatemeh Rezaeian, Mohammad Javad Parnian
Format: Article
Language:English
Published: SpringerOpen 2018-12-01
Series:International Journal of Coal Science & Technology
Subjects:
Fischer–Tropsch synthesis
Artificial neural network
Response surface method
CO conversion
Hydrocarbon selectivity
Online Access:http://link.springer.com/article/10.1007/s40789-018-0232-3

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http://link.springer.com/article/10.1007/s40789-018-0232-3

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