FCCU simulation based on first principle and artificial neural network models

Journal article

Authors / Editors

Agachi, Paul

Research Areas

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Publication Details

Author list: Mihet M, Cristea VM, Agachi PS

Publisher: Wiley: 12 months

Place: HOBOKEN

Publication year: 2009

Journal: Asia-Pacific Journal of Chemical Engineering (1932-2135)

Journal acronym: ASIA-PAC J CHEM ENG

Volume number: 4

Issue number: 6

Start page: 878

End page: 884

Number of pages: 7

ISSN: 1932-2135

eISSN: 1932-2143

Languages: English-Great Britain (EN-GB)

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Abstract

A first principle model has been developed for the reactor-regenerator system based on construction and operating data from an industrial fluid catalytic cracking unit (FCCU). The first principle model takes into account the main FCCU subsystems: reactor riser. regenerator. stripper. catalyst circulation lines. air blower, wet gas compressor and main fractionator. A five-lump kinetic scheme has been considered for the reactions taking place in the reactor riser Subsequently. an artificial neural network (ANN) model has been built for the complex FCCU system. The dynamic simulator, based on the previously developed first principle model, served as the source of reliable data for ANN design, training and testing. The ANN developed model was successfully trained and tested. Comparison between first principle and neural network based model leads to a very good match between the two models. Results. show the Substantial reduction of the computation time featured by the ANN model compared to the first principle model. demonstrating its potential use for real-time implementation in model-bawd control algorithms. (C) 2009 Curtin University of Technology and John Wiley & Sons, Ltd.

Keywords

artificial neural network, dynamic simulator, fluid catalytic cracking unit

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