Optimizing an Industrial Scale Naphtha Catalytic Reforming Plant Using a Hybrid Artificial Neural Network and Genetic Algorithm Technique

Optimizing an Industrial Scale Naphtha Catalytic Reforming Plant Using a Hybrid Artificial Neural Network and Genetic Algorithm Technique

<p>In this paper, a hybrid model for estimating the activity of a commercial Pt-Re/Al<sub>2</sub>O<sub>3</sub> catalyst in an industrial scale heavy naphtha catalytic-reforming unit (CRU) is presented. This model is also capable of predicting research octane number (RON...

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Bibliographic Details
Main Authors: Sepehr Sadighi, Reza Seif Mohaddecy, Ali Norouzian
Format: Article
Language:English
Published: Diponegoro University 2015-07-01
Series:Bulletin of Chemical Reaction Engineering & Catalysis
Subjects:
Reforming
Heavy naphtha
Artificial neural network
Deactivation
Life model
Online Access:http://ejournal.undip.ac.id/index.php/bcrec/article/view/7171

Internet

http://ejournal.undip.ac.id/index.php/bcrec/article/view/7171

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