Implementation and performance assessment of a real-time optimization system on a virtual fluidized-bed catalytic-cracking plant

This thesis develops and evaluates RTO implementation in a FCCU virtual plant, taking into account each RTO stage (noise elimination, steady-state detection, data validation, parameter estimation, and optimization). The dynamic data to carry out this analysis were obtained from an FCCU virtual plant based on a dynamic deterministic model developed in Matlab®. The model output data were contaminated with Gaussian and gross errors to simulate measurements from a real plant. For denoising, steady-state detection, data reconciliation, parameter estimation, and optimization, different strategies and algorithms were studied and assessed, while a decentralized PID was proposed for the control system. Finally, the most appropriate strategies for the case study were implemented and their performance was fully evaluated.

• Autores: Rodríguez Dionicio, Adriana Lisbeth
• Fecha de publicación: 2020
• Institución: Universidad Nacional de Colombia
• Repositorio: Universidad Nacional de Colombia
• Idioma: spa
• OAI Identifier: oai:repositorio.unal.edu.co:unal/77369
• Acceso en línea: https://repositorio.unal.edu.co/handle/unal/77369; http://bdigital.unal.edu.co/75076/
• Palabra clave: Real Time Optimization (RTO); FCCU virtual plant; Process control; Implementation; Assessment; Optimización en tiempo real; Planta virtual; Control de procesos; Implementación; Evaluación
• Rights: openAccess
• License: Atribución-NoComercial 4.0 Internacional