Identification of the Dynamic Model of a Petrochemical Furnace of 50MW for Implementation of Mpc Control

Carlos Roberto Chaves1, Rodrigo Juliani2, Claudio Garcia3

  • 1Escola Politécnica of the University of São Paulo
  • 2Cursor Identification and Control
  • 3Polytechnic School of The Univ of Sao Paulo

Details

13:40 - 14:00 | Wed 24 Apr | Fauna | WeB2.1

Session: Process Modeling and Simulation

Abstract

Abstract: This work presents the procedure used for the identification of the dynamic model of a 50 MW petrochemical furnace. This real system is responsible for the generation of thermal energy, necessary for the heating of the load currents of the processing unit of bituminous shale derivatives. The variability or instability of temperature control, airflow for combustion and fuel flow, may affect the results related to the efficiency of the petrochemical furnace. In addition to the financial losses, another relevant aspect is the impact on the environment, i.e., it is a variable that must be maintained within operational restrictions. Based on the problems highlighted, it is justifiable to invest in multivariable predictive control. For this reason, the identification and validation of the model is essential to the success of the performance of the predictive controller algorithm. In this work, all the steps to obtain the model of the multivariable process of the petrochemical furnace are presented. The model obtained was validated by analysis of computational methods and tools and simulation through the development of the MPC (Model-based Predictive Controller). The result of the simulation shows that the identified model reflects with great accuracy the behavior of the actual plant, in this case the petrochemical furnace.