Maximizing margins and optimizing operational conditions for residue fluid catalytic cracking with an artificial intelligence hybrid reaction model
Author:
Affiliation:
1. Refinery, Petrochemical & New Energy Process Engineering Department, Technological & Engineering Division Chiyoda Corporation Yokohama Japan
2. Digital Products Department, Digital Transformation Division Chiyoda Corporation Yokohama Japan
Publisher
Wiley
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/amp2.10118
Reference48 articles.
1. Dynamic and Control of Fluidized Catalytic Crackers. 1. Modeling of the Current Generation of FCC's
2. Dynamics and Control of Fluidized Catalytic Crackers. 2. Multiple Steady States and Instabilities
3. Dynamics and Control of Fluidized Catalytic Crackers. 3. Designing the Control System: Choice of Manipulated and Measured Variables for Partial Control
4. Five-lump kinetic model with selective catalyst deactivation for the prediction of the product selectivity in the fluid catalytic cracking process
5. Parameter estimation of a six-lump kinetic model of an industrial fluid catalytic cracking unit
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