
Simulation and Process Optimization
Code
10684
Academic unit
Faculdade de Ciências e Tecnologia
Department
Departamento de Química
Credits
6.0
Teacher in charge
José Paulo Barbosa Mota
Weekly hours
3
Total hours
73
Teaching language
Português
Objectives
Students are expected to acquire theoretical and practical skills on process modeling and optimization in chemical enginnering and related areas. The course has a strong practical component based on the intensive use of two commercial software packages (gPROMS and Aspen Plus) for process simulation and optimization, which are widely spread in the chemical industry.
Prerequisites
None
Subject matter
- Simulation and optimization of bioprocesses in MATLAB (5 weeks)
- Linear programming of cellular metabolism
- Dynamical simulation of bioreactors
- Dynamical optimization - optimal control problem
- Process modeling and optimization using gPROMS(4,5 weeks)
- Dual process description by means of models and tasks.
- Process modelling using hierarchically structured models.
- Modelling of process discontinuities.
- Modelling of operating procedures.
- Processe modelling of distributed-parameter systems.
- Dynamic optimization.
- Parameter estimation.
- Process modelling and optimization using Aspen Plus (4,5 weeks)
- Estimation of transport and thermodynamic properties.
- Properties analysis and phase equilibria.
- Building and running a process simulation model.
- Definition of unit operations and streams.
- Performing a sensitivity analysis.
- Design and dimensioning of process units.
- Meeting process design specifications.
- Process optimization and integration.
Bibliography
- R. G. Rice, D. D. Do. Applied Mathematics and Modelling for Chemical Engineers. John Wiley & Sons, 1995.
- Aspen Plus Users Guide (version 12.1). AspenTech, 2005
- gPROMS Advanced Users Guide (release 2.2). Process Systems Enterprise Ltd, 2003
- gPROMS Introductory User Guide (release 2.2). Process Systems Enterprise Ltd, 2003
- P. I. Barton. The Modelling and Simulation of Combined Discrete/Continuous Processes. Ph.D. Thesis, Imperial College, London, 1992.
- Selected scientific papers
Teaching method
In lectures concepts are illustrated through the use of transparencies and slides. In laboratory sessions students solve process simulation and optimization problems by using the process software available for teaching at the department. Many concepts are elaborated through the presentation and discussion of case studies.