Fluid catalytic cracking (FCC) process modeling, simulation, and control

Carla I.C. Pinheiro*, Joana L. Fernandes, Luís Domingues, Alexandre J.S. Chambel, Inês Graça, Nuno M.C. Oliveira, Henrique S. Cerqueira, Fernando Ramôa Ribeiro

*Corresponding author for this work

Research output: Contribution to journalReview article

65 Citations (Scopus)

Abstract

This paper focuses on the fluid catalytic cracking (FCC) process and reviews recent developments in its modeling, monitoring, control, and optimization. This challenging process exhibits complex behavior, requiring detailed models to express the nonlinear effects and extensive interactions between input and control variables that are observed in industrial practice. The FCC models currently available differ enormously in terms of their scope, level of detail, modeling hypothesis, and solution approaches used. Nevertheless, significant benefits from their effective use in various routine tasks are starting to be widely recognized by the industry. To help improve the existing modeling approaches, this review describes and compares the different mathematical frameworks that have been applied in the modeling, simulation, control, and optimization of this key downstream unit. Given the effects that perturbations in the feedstock quality and other unit disturbances might have, especially when associated with frequent changes in market demand, this paper also demonstrates the importance of understanding the nonlinear behavior of the FCC process. The incentives associated with the use of advanced model-based supervision strategies, such as nonlinear model predictive control and real-time optimization techniques, are also presented and discussed.

Original languageEnglish
Pages (from-to)1-29
Number of pages29
JournalIndustrial and Engineering Chemistry Research
Volume51
Issue number1
DOIs
Publication statusPublished - 17 Nov 2012

Fingerprint

Fluid catalytic cracking
Computer simulation
Model predictive control
Feedstocks
Monitoring
Industry

ASJC Scopus subject areas

  • Chemistry(all)
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering

Cite this

Pinheiro, C. I. C., Fernandes, J. L., Domingues, L., Chambel, A. J. S., Graça, I., Oliveira, N. M. C., ... Ribeiro, F. R. (2012). Fluid catalytic cracking (FCC) process modeling, simulation, and control. Industrial and Engineering Chemistry Research, 51(1), 1-29. https://doi.org/10.1021/ie200743c

Fluid catalytic cracking (FCC) process modeling, simulation, and control. / Pinheiro, Carla I.C.; Fernandes, Joana L.; Domingues, Luís; Chambel, Alexandre J.S.; Graça, Inês; Oliveira, Nuno M.C.; Cerqueira, Henrique S.; Ribeiro, Fernando Ramôa.

In: Industrial and Engineering Chemistry Research, Vol. 51, No. 1, 17.11.2012, p. 1-29.

Research output: Contribution to journalReview article

Pinheiro, CIC, Fernandes, JL, Domingues, L, Chambel, AJS, Graça, I, Oliveira, NMC, Cerqueira, HS & Ribeiro, FR 2012, 'Fluid catalytic cracking (FCC) process modeling, simulation, and control', Industrial and Engineering Chemistry Research, vol. 51, no. 1, pp. 1-29. https://doi.org/10.1021/ie200743c
Pinheiro, Carla I.C. ; Fernandes, Joana L. ; Domingues, Luís ; Chambel, Alexandre J.S. ; Graça, Inês ; Oliveira, Nuno M.C. ; Cerqueira, Henrique S. ; Ribeiro, Fernando Ramôa. / Fluid catalytic cracking (FCC) process modeling, simulation, and control. In: Industrial and Engineering Chemistry Research. 2012 ; Vol. 51, No. 1. pp. 1-29.
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abstract = "This paper focuses on the fluid catalytic cracking (FCC) process and reviews recent developments in its modeling, monitoring, control, and optimization. This challenging process exhibits complex behavior, requiring detailed models to express the nonlinear effects and extensive interactions between input and control variables that are observed in industrial practice. The FCC models currently available differ enormously in terms of their scope, level of detail, modeling hypothesis, and solution approaches used. Nevertheless, significant benefits from their effective use in various routine tasks are starting to be widely recognized by the industry. To help improve the existing modeling approaches, this review describes and compares the different mathematical frameworks that have been applied in the modeling, simulation, control, and optimization of this key downstream unit. Given the effects that perturbations in the feedstock quality and other unit disturbances might have, especially when associated with frequent changes in market demand, this paper also demonstrates the importance of understanding the nonlinear behavior of the FCC process. The incentives associated with the use of advanced model-based supervision strategies, such as nonlinear model predictive control and real-time optimization techniques, are also presented and discussed.",
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