Smart Energy Systems Ansbach University of Applied Sciences

Growing distributed generation and fluctuating renewable energy sources create a need for an intelligent network of consumers and producers. Smart Energy Systems is based on the technological, economical, and ecological knowledge of distributed energy systems as well as essential digital skills. Besides the simulation and optimisation of energy systems, the focus relies on modern computer and communication technology. The use of artificial intelligence completes this interdisciplinary-orientated course of study. Our aim is to provide a deep understanding not only of the individual producer and consumer technologies but also in terms of an optimised operation of these interconnected energy systems. Job opportunities include energy suppliers or energy marketing, building technology, the automotive industry or energy-intensive industry as well as following new business ideas in founding a start-up company.

The study programme offers international perspectives.

German language classes can be taken as an elective module.

You can find more information in this video.

In the first semester, elementary technical knowledge about the components and participants of the energy system is part of the Energy Systems / Energy Economy module. Simulation of decentralised energy systems is one of a total of five digital components of the first semester, in which the interaction between the individual participants in the energy system is dealt with. In IoT Technologies and Data Interfaces, students learn how digitally networked, intelligent systems are created through sensors and Internet connections. Within LabVIEW Programming, an easy-to-learn graphic programming environment, as well as Artificial Intelligence Basics, the focus is on computer-aided problem solving and analysis. An elective course allows you to look at other exciting topics both in the first and second semester (for example, drone flying at our in-house “drone academy”).

In Virtual Power Plant, the second semester deals with another essential component for the energy systems of the future, namely the merging of decentralised energy producers and the coupling of different sectors with systems for storing or otherwise using excess energy in so-called Power-to-X systems for a reliable supply. How such systems communicate securely with one another and make decisions autonomously – without any human intervention – is the subject of the AI Applications in Energy Systems / Blockchain module. Entrepreneurial thinking and acting illuminates the Energy Entrepreneurship module. Selected guest lecturers present their personal success (or even more interesting: fail) stories as entrepreneurs and encourage students to implement their own ideas, e.g. in start-ups. Optimisation / Operations Research uses the knowledge and tools from the first semester in order to be able to optimally align and operate even complex systems using simulation and mathematical optimisation. "Hands on!" will be the motto of the Project Course – Smart Energy System, in which the students plan, implement and present their own project – an ideal preparation for later professional life.

The third semester allows you to deepen your knowledge on selected topics as part of the Master's thesis, which is planned in cooperation with various companies. The Scientific Work Master's Seminar accompanies the Master's thesis, opens up the exchange between the students in the form of lectures and provides the tools for a solid scientific approach.

You will complete the Master’s degree in three semesters. Upon successful completion, you will be awarded the internationally recognised academic degree of Master of Engineering (MEng).

A successfully completed university degree in a relevant course of study or an equivalent domestic or foreign degree with an overall examination grade of at least 2.3, the scope of which generally comprises 210 ECTS points, but at least 180 ECTS points, is required.

Relevant courses of study are based on the principles of electrical engineering, mechanical engineering, physics, computer science, supply engineering or comparable courses of study.

Furthermore, a letter of motivation (200 to 500 words in English or German) is needed.

72 EUR per semester

https://www.hs-ansbach.de/en/service/career-service/

Find a modern home or choose a flat in one of the characteristic half-timbered buildings in the historical village of Feuchtwangen.

Students who need a flat can contact wohnen@feu.plus by e-mail.