Erweiterte Methoden zur Prozessmodellierung und Optimierung in der Energie- und Verfahrenstechnik
Titel auf Englisch: Advanced Methods in Process, Energy and Systems Engineering
Lernergebnisse
The module requires a basic background in calculus and linear algebra, thus allowing easy understanding of mathematical reasoning. In addition, numerous examples in process, energy, environmental and systems engineering will demonstrate key concepts and algorithms. The practical exercises will involve theoretical derivations and small-size numerical problems in modelling systems like matlab, python, octave, GAMS thus putting knowledge into practice. As part of the block course, students also gain an insight into German technical and everyday language, as well as into German culture.
Inhalte
This module will teach approaches to modelling and optimization frameworks to address the complex process and energy problems, which arise in design and operation of process and energy systems in an integrated way. Moreover, the presented theoretical and methodological concepts are joined conceptionally with optimal designed experiments to adjust the fundamental mathematical models and to validate the developed process concepts. The taught methods are of generic character, and thus, producing optimal design and operational plans for process and energy systems ranging from microscale to mega-scale stages over operative time horizons from milliseconds to years. The approaches to be discussed will mainly be around superstructure-based modelling, mixed-integer linear and nonlinear programming, multiobjective optimization, optimization under uncertainty, and life-cycle assessment. The presented case studies will be around advanced process systems for renewable energy conversion, separation and reaction systems as well as biotechnological production systems.
Voraussetzungen
Verpflichtende Voraussetzungen
Keine
Empfohlene Voraussetzungen
- Basic backround in process engineering
- calculus and linear algebra
Prüfungsmodalitäten
Written Examination 90 min
Termine im WiSe 26/27
Vorlesung/Übung
4 SemesterwochenstundenBTU-Vorlesungsverzeichnis ↗- —22 Feb 2027 bis 26 Feb 202709:00 bis 16:00
Prüfung
BTU-Vorlesungsverzeichnis ↗- Samstag27 Feb 202711:00 bis 13:00
Angeboten in
- Chemistry: Materials, Engineering and SustainabilityMaster
Wahlpflichtkomplex: Kein Komplex genannt
- Control of Renewable Energy SystemsMaster
Wahlpflichtkomplex: Kein Komplex genannt
- Environmental and Resource ManagementMaster
Wahlpflichtkomplex: Kein Komplex genannt
| Studiengang | Abschluss | Wahlpflichtkomplex |
|---|---|---|
| Chemistry: Materials, Engineering and Sustainability | Master | Kein Komplex genannt |
| Control of Renewable Energy Systems | Master | Kein Komplex genannt |
| Environmental and Resource Management | Master | Kein Komplex genannt |
Literatur und Materialien
- Script zur Vorlesung
- Advanced Optimization for Process Systems Engineering. Ignacio E. Grossmann, Cambridge University Press
- Optimization for Chemical and Biochemical Engineering: Theory, Algorithms, Modeling and Applications. Vassilios S. Vassiliadis, Walter Kähm, Ehecatl Antonio del Rio Chanona, Cambridge University Press
- Systematic Methods of Chemical Process Design. Lorenz T. Biegler, Ignacio E. Grossmann, Arthur W. Westerberg, Prentince Hall
- Nonlinear Programming: Concepts, Algorithms, and Applications to Chemical Processes. Lorenz T. Biegler, SIAM, 2010
Hinweise
- The module takes place as a block course
- The appointment will be announced in the current semester
Bewertungen von Studierenden
Was Studierende über dieses Modul sagen. Die BTU hat damit nichts zu tun — hier schreiben nur Studierende, und jede Bewertung ist die Meinung einer einzelnen Person.