Information on individual educational components (ECTS-Course descriptions) per semester

Project - Efficient Systems

Degree programme Sustainable Energy Systems
Subject area Engineering Technology
Type of degree Master
Winter Semester 2023
Course unit title Project - Efficient Systems
Course unit code 072722030502
Language of instruction German, English
Type of course unit (compulsory, optional) Compulsory optional
Teaching hours per week 2
Year of study 2023
Level of the course / module according to the curriculum
Number of ECTS credits allocated 3
Name of lecturer(s) Babette HEBENSTREIT, Klaus RHEINBERGER
Requirements and Prerequisites


Course content

Within the framework of this course, each student works on a concrete actual topic in the field of "Efficient Systems".
The individual and concrete exercises are, for example, derived from a:

  • research article
  • problem of an industrial or commercial partner of the FH Vorarlberg
  • topic of the Energy Research Centre or other research centres of the FH Vorarlberg

The course will introduce students to a specific energy technology issue in the field of "Efficient Systems".
Focus is on the application of learned methods of modelling, optimisation and analysis of technical, economic, ecological and inter-connected systems. Typical project examples could be the following implementations:

  • Optimised control concepts
  • Techno-economic system optimization
  • Optimised management of energy storage facilities and power generation plants
  • Improved charge load management of electric vehicle

Project results can serve as preparation for the Master's thesis.

Learning outcomes

At the end of this course, students are familiar with the process of transferring existing approaches from research to concrete problems, analysing the results and critically questioning them. The students

  • can classify the problem under consideration.
  • understand limitations and assumptions of the problem under consideration and can point them out.
  • are able to independently develop the chosen existing approach (from the literature) and apply it to a clearly defined problem.
  • are able to systematically prepare the approaches used and the results achieved in their own project work in written form.
  • are able to compare their own results with existing ones and to distinguish and criticise them with regard to the assumptions and methods made.
Planned learning activities and teaching methods

Integrated Course:

  • Short lecture parts (presentation of possible topics)
  • Coaching of the project work in small groups (1-3 students)
  • Discussion and free teaching conversations
  • Presentations with feedback
Assessment methods and criteria

Immanent examination character:

  • Ongoing presentations
  • Participation in discussion
  • Project documentation


Recommended or required reading

Technical literature, further learning resources and aids result from the selected topic. The following textbooks can be generally helpful:

  • Calafiore, Giuseppe C.; Laurent, El Ghaoui (2014): Optimization Models. Cambridge: Cambridge University Press.
  • Dincer, Ibrahim; Rosen, Marc A.; Ahmadi, Pouria (2017): Optimization of Energy Systems. 1. Chichester, West Sussex, UK: Wiley.
  • Papageorgiou, Markos; Leibold, Marion; Buss, Martin (2009): Optimierung: Statische, Dynamische, Stochastische Verfahren für die Anwendung. 3. neu bearb. und erw. Auflage. Berlin: Springer.


Mode of delivery (face-to-face, distance learning)

Presence event with obligatory attendance