After successful completion of the course, students are able to:
- understand the principles of process optimization for process synthesis and deisgn.
- formulate optimization problems for complicated process design tasks.
- to apply optimization methods on the basis of mathematical algorithms and software.
- Basic concepts for algorithmic methods and optimization in process systems engineering
- Theory and applications for linear (LP), nonlinear (NLP) and mixed-integer (MIP, MILP, MINLP) programming
- Optimization models for synthesis of heat exchanger networks
- Optimization models for synthesis of reactor networks
- Optimization models for synthesis and integration of distillation sequencing
- Optimization of process flowsheet structures (superstructures)
- Optimal design and scheduling for multiproduct batch plants
- Process flexibility analysis
Written through exercises at home during the course, one exam in the middle and one at the end of the course, and one chance for repetition after the course.
Basic knowledge of Process- or Chemical-engineering.
Participation in the course "Systematic methods in process design" is also advantageous.
