Fluid Catalytic Cracking (FCC) Process Modeling, Simulation, and Control

Pinheiro, Carla I.C.; Fernandes, Jean Lucas Macedo; Domingues, Luís; Chambel, Alexandre J. S.; Graça, Inês; Oliveira, Nuno M.C.; Cerqueira, Henrique S.; Ribeiro, F. Ramôa

doi:10.1021/ie200743c

Cited by 133 publications

(86 citation statements)

References 232 publications

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“…Catalytic cracking has been used for more than seventy years [1,2,3] in petrochemical plants for conversion of heavy gas oil into highvalue gasoline and lighter components. It is considered as the main unit in a refinery.…”

Section: Introductionmentioning

confidence: 99%

Comparison of model predictive control strategies for a fluidized catalytic cracker

Boum

Corriou

Latifi

2017

IJET

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A FCC model is used to compare five different Model Predictive Control (MPC) strategies. The FCC process is a complex petrochemical unit with catalyst recycling that makes its behaviour highly nonlinear. The FCC comprises a riser, a separator and a regenerator with important heat coupling due to the endothermic cracking reactions of gas oil in the riser and the exothermic combustion reactions in the regenerator. The riser and the regenerator exhibit fast and slow dynamics respectively. The temperatures at riser top and in the regenerator should be controlled by manipulation of catalyst and air flow rates. All these nonlinear and coupled characteristics render the multivariable control problem difficult and thus the FCC process constitutes a valuable benchmark for comparing control strategies. Here, the performances of Dynamic Matrix Control, Quadratic Dynamic Matrix Control, MPC control with penalty on the outputs, NonLinear MPC control, Observer Based MPC control are compared.

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Section: Introductionmentioning

confidence: 99%

Comparison of model predictive control strategies for a fluidized catalytic cracker

Boum

Corriou

Latifi

2017

IJET

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“…Pinheiro et al (2012) studied the implementation of APC in a Fluid Catalytic Cracking (FCC) Unit through rigorous modeling and simulation of the process. Odloak (2013, 2014) studied the implementation of state-observer-based MPC's in the Propylene/Propane splitter.…”

Section: Introductionmentioning

confidence: 99%

Realigned Model Predictive Control of a Propylene Distillation Column

Hinojosa

Capron

Odloak

2016

Braz. J. Chem. Eng.

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-In the process industry, advanced controllers usually aim at an economic objective, which usually requires closed-loop stability and constraints satisfaction. In this paper, the application of a MPC in the optimization structure of an industrial Propylene/Propane (PP) splitter is tested with a controller based on a state space model, which is suitable for heavily disturbed environments. The simulation platform is based on the integration of the commercial dynamic simulator Dynsim ® and the rigorous steady-state optimizer ROMeo ® with the real-time facilities of Matlab. The predictive controller is the Infinite Horizon Model Predictive Control (IHMPC), based on a state-space model that that does not require the use of a state observer because the non-minimum state is built with the past inputs and outputs. The controller considers the existence of zone control of the outputs and optimizing targets for the inputs. We verify that the controller is efficient to control the propylene distillation system in a disturbed scenario when compared with a conventional controller based on a state observer. The simulation results show a good performance in terms of stability of the controller and rejection of large disturbances in the composition of the feed of the propylene distillation column.

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“…Modeling description of riser reactors is of significance to maintaining the long period run, fault monitoring and operation optimization of FCC units [7,8]. In mathematical models for riser reactors, lumped kinetic models play an essential role [9,10].…”

Section: Introductionmentioning

confidence: 99%

Ten-lump kinetic model for the two-stage riser catalytic cracking for maximizing propylene yield (TMP) process

Yang

Chengtao³

et al. 2015

Appl Petrochem Res

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Modeling Fluid Catalytic Cracking (FCC) riser reactors is of significance to FCC unit control, optimization and failure detection, as well as the development and design of new riser reactors. Under the guidance of catalytic reaction mechanisms and the demands for commercial production, a ten-lump kinetic model was developed for the TMP process in this study. The feedstock and products were divided into ten lumps by reasonably simplifying the reaction network, including heavy oil, diesel oil, gasoline olefins, gasoline aromatics, gasoline saturates, (butane ? propane), butylene, propylene, dry gas and coke. Thirty-five sets of model parameters were estimated with the combined simulated annealing method and the damped least square method. The findings indicated that the model could predict the riser key products and their compositions quite well; thereby it could be useful to the production practice for the TMP process.

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Fluid Catalytic Cracking (FCC) Process Modeling, Simulation, and Control

Cited by 133 publications

References 232 publications

Comparison of model predictive control strategies for a fluidized catalytic cracker

Comparison of model predictive control strategies for a fluidized catalytic cracker

Realigned Model Predictive Control of a Propylene Distillation Column

Ten-lump kinetic model for the two-stage riser catalytic cracking for maximizing propylene yield (TMP) process

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