Sustainable Energy Systems - Selected Chapters
| Degree programme | Sustainable Energy Systems |
| Subject area | Engineering Technology |
| Type of degree | Master part-time |
| Type of course unit (compulsory, optional) | Compulsory |
| Course unit code | 072722230501 |
| Teaching units | 45 |
| Year of study | 2025 |
| Name of lecturer(s) | Philipp WOHLGENANNT, Subodha Tharangi Ireshika MUHANDIRAM ARACHCHIGE, Valentin SEILER |
Requirements and Prerequisites
None
Course content
The course provides an insight into selected current research topics in the field of sustainable energy systems:
- Demand side management and demand response, e.g. charging management in electromobility, energy communities
- Model predictive control of energy systems, e.g. control of heat pumps
- Modeling and simulation of electrical grids to evaluate digital equipment
Learning outcomes
After completing the course, students will be familiar with individual current technical developments in the field of sustainable energy systems. They will have gained a detailed assessment of their advantages and disadvantages as a result of the course. The students
- can present the specific technological developments presented and describe how they work
- recognize the necessity of developing new technical solutions for the success of the energy transition
- can critically reflect on individual approaches and technologies with regard to their impact on the subsystem and the superordinate system
- apply the methods presented on the computer to practical examples
- and critically reflect on them in terms of their robustness, computational complexity, information requirements and benefits.
Planned learning activities and teaching methods
Integrated Course
Assessment methods and criteria
- Two written examinations, partly on the computer (each 40 %)
- Assessment of exercises (20 %)
For a positive grade, a minimum of 50 % of the possible points must be achieved across all parts of the examination.
Comment
None
Recommended or required reading
Technical literature, further learning resources and aids result from the selected topic. Here are some examples:
- Kallrath, Josef u.a. (2009): Optimization in the Energy Industry. 2009. Aufl. Berlin: Springer.
- Papageorgiou, Markos; Leibold, Marion; Buss, Martin (2009): Optimierung: Statische, Dynamische, Stochastische Verfahren für die Anwendung. 3. neu bearb. und erw. Auflage. Berlin: Springer.
- MacCluer, Charles R. (2010): A Survey of Industrial Mathematics (Dover Books on Mathematics). Dover. Dover Pubn Inc.
- Wen, John T.; Mishra, Sandipan (Hrsg.) (2018): Intelligent Building Control Systems. Cham: Springer International Publishing (= Advances in Industrial Control). Online im Internet: DOI: 10.1007/978-3-319-68462-8.
- Zorin, I. A., & Gryazina, E. N. (2019). An overview of semidefinite relaxations for optimal power flow problem. Automation and Remote Control, 80, 813-833.
Mode of delivery (face-to-face, distance learning)
Presence course. The students are informed of the lecturer's attendance requirements before the start of the course.