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...
- Autores:
-
Rodríguez Dionicio, Adriana Lisbeth
- Tipo de recurso:
- 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
| Summary: | 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. |
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