Study overview


Driven by the energy transition, the energy industry is currently undergoing a major change. The share of renewable energy sources such as photovoltaics or wind power is growing steadily, allowing consumers to generate energy rather than only consuming it. The increasing decentralisation of plants and the increased volatility of energy production, e.g. due to changing solar radiation, make intelligent networking necessary. Only digitalisation will enable both the conversion to an economical and renewable energy system, securing supply in the long term.

For this, interdisciplinarily trained experts are needed who have profound expertise in the field of energy sciences and digital technologies as well as competences for organisational implementation under economic, legal and ecological aspects.

To this end, students in the international and English-language Master's degree programme SES learn the different producer and consumer technologies in modern, decentralised energy grids. They deal in particular with the exchange of information between the individual participants and the associated transmission paths as well as the resulting interaction of the overall system. Knowledge from the field of artificial intelligence (AI) and optimisation is also taught, combined with the respective possibilities from the field of information and communication technology for secure and reliable data exchange. The aim is to sharpen the understanding of the individual generator and consumer technologies and, in particular, to impart knowledge and skills with regard to the optimal operation of an entire energy system.

Students thus acquire knowledge about the design, operation and optimisation of intelligent, decentralised energy systems through the application of innovative and digital technologies. The growing complexity and interconnection of the energy sectors makes SES graduates ideal specialists and managers not only in the field of energy production and marketing, but also in the real estate industry and building technology sector, the automotive industry or in energy-intensive industries (building materials, chemicals, glass, non-ferrous metals, paper and steel).

Short formSES
Type of studyFull time
Standard period of study3 semester
ClosingMaster of Engineering (M.Eng.)
Start of studieswinter semester
Admission restrictions specific
Lecture locationFeuchtwangen
Language of instructionEnglish
Course management Prof. Dr. Johannes Jungwirth
Student advisory serviceProf. Dr. Johannes Jungwirth
Dr. Gerd Hofmann
Student servicesstudierendenservice.ses(at)hs-ansbach.de

Example of an intelligently networked energy system:

Residential house with PV system, battery storage, heat pump and charging station for an electric car.

Winter morning, it is cold outside, but the sun is shining and the PV system is supplying electricity. The residents are at school or at work. The AI recognises the consistently sunny weather forecast and activates the washing machine. Since a severe frost is forecast for the coming night, the heat pump also runs to sufficiently charge the heat buffer. The battery storage is charged with surplus electricity.

In the evening, the family comes home and the electric car is connected. The increased energy demand expected by the AI due to light and other consumers in the house will greatly reduce the charge level of the battery storage, so that the charging process with own electricity is not released for the electric car. Since no trips are necessary for the next day in the home office, the AI also decides not to charge the car with grid electricity overnight, but waits until sufficient wind energy (weather forecast) is available the next day.

This sounds simple, but it is a highly complex task. Not every system consisting of individual energy generators, consumers and storage units is automatically "smart". Not only energy flows, but above all information, forecasts and data must be exchanged. In addition, there must be an intelligent instance that translates this information and data into decisions and communicates these to the participants in real time or as a forecast or timetable. In the future, more and more of these highly complex energy systems will emerge as an important building block for the energy transition and a sustainable and regenerative energy supply.

Admission requirements and application to the degree programme

You can start the Master's programme SES in the winter semester. As for all degree programmes, timely application via the online application portal is required for this degree programme. Please note that the regular deadlines are cut-off deadlines. Your application must therefore be received by us by the end of the last day of the respective deadline at the latest.

You can find all information about the application HERE.

In addition, a successfully completed university degree in a relevant degree programme or an equivalent domestic or foreign degree with an overall examination grade of at least 2.3, the scope of which usually comprises 210 ECTS credits, but at least 180 ECTS credits, is required. Relevant degree programmes are those that build on fundamentals from the fields of engineering sciences (e.g. Applied Engineering Sciences), electrical engineering, mechanical engineering, physics, computer science, supply engineering or comparable.

The Bavaran Higher Education Act (BayHSchG) applies to applicants at Bavarian universities of applied sciences.

Study structure

The English-language Master's programme "Smart Energy Systems" comprises 90 ECTS, which can be completed in three semesters. If you enter with a degree comprising less than 210 ECTS, you may have to allow additional time to make up modules/ECTS.

In the first semester, the Energy Systems / Energy Economics module teaches elementary technical knowledge about the components and participants of the energy system. The simulation of decentralised energy systems is one of a total of five digital modules in the first semester, in which the interaction of the individual participants in the energy system with each other is dealt with. In IoT Technologies and Data Interfaces, students learn how digitally networked, intelligent systems are created through sensor technology and internet connection. With the basics of programming in LabVIEW, an easy-to-learn graphical programming environment, and the basics of artificial intelligence, the focus is on computer-based problem solving and analysis. A compulsory elective module allows a look at other exciting topics in both the first and second semesters.

In the second semester, Virtual Power Plant is concerned with another essential component for the energy systems of the future, namely the connection of decentralised energy producers with systems for storing or otherwise using surplus energy in so-called power-to-X plants for a reliable supply. How such systems communicate safely with each other and make decisions autonomously - without human intervention - is the topic of the module AI Applications in Energy Systems / Blockchain. Entrepreneurial thinking and action sheds light on energy entrepreneurship - new business models through digitalisation. Selected guest lecturers from the business world present their personal success stories as entrepreneurs and encourage students to realise their own ideas, for example in start-ups. Optimisation / Operations Research picks up on the knowledge and tools from the first semester in order to be able to optimally align and operate even complex systems using simulation. "Hands on!" is the motto in the project work - networked energy landscape, where students plan, implement and present their own project - an ideal preparation for later professional life.

The third semester allows students to deepen their knowledge of selected topics in the master's thesis, which is planned in cooperation with various companies. The master's seminar on scientific work accompanies the master's thesis, opens up the exchange between students in the form of lectures and provides the tools for a solid scientific approach.

You complete the Master's programme in three semesters. After successful completion, you will be awarded the internationally recognised academic degree Master of Engineering (M.Eng.).

Career prospects

There is currently a high and growing demand for specialists in the field of intelligent networking of decentralised energy producers and consumers. Due to the increasing complexity and interconnection of sectors, the need for qualified specialists and managers with a profound understanding of intelligent energy systems is growing. New business areas and business models are emerging as a result of the networking, which SES graduates can identify and implement.

Industries

  • Energy suppliers/municipal utilities/direct marketers
  • Real estate industry and building services engineering
  • Automotive industry
  • Renewable generation (PV, wind, biogas, geothermal)
  • Conventional/flexible generation (CHP, district heating)
  • Storage (batteries, hydrogen)
  • Energy-intensive industry

Fields of activity

  • Management positions
  • Development
  • Implementation
  • Business Development
  • Sales
  • Operations

Staff

Prof. Dr.-Ing. Johannes Jungwirth – Studiengangsleiter (Course Management) Smart Energy Systems (SES) / Studienfachberatung (Student Advisory Service) Smart Energy Systems (SES)

Prof. Dr.-Ing. Johannes Jungwirth

Studiengangsleiter (Course Management) Smart Energy Systems (SES) / Studienfachberatung (Student Advisory Service) Smart Energy Systems (SES)

09852 86398-220 FEU 2.1.1 / 92.1.41 (Montag) nach Vereinbarung vCard

Prof. Dr.-Ing. Johannes Jungwirth

Prof. Dr.-Ing. Johannes Jungwirth – Studiengangsleiter (Course Management) Smart Energy Systems (SES) / Studienfachberatung (Student Advisory Service) Smart Energy Systems (SES)

Studiengangsleiter (Course Management) Smart Energy Systems (SES) / Studienfachberatung (Student Advisory Service) Smart Energy Systems (SES)

Funktionen:

  • Studiengangsleiter Smart Energy Systems (SES)
  • Studienfachberatung Smart Energy Systems (SES)
  • Professor Angewandte Ingenieurwissenschaften (AIW)
  • Professor Nachhaltige Ingenieurwissenschaften (NIW)

Lehrgebiete:

  • Digitalisierung der Energiewende
  • Energiemanagement

Vita:

  • Studium Elektrotechnik mit Fachrichtung Energietechnik an der TU München
  • Promotion zum Dr.-Ing. an der TU München, Lehrstuhl für Energiewirtschaft und Anwendungstechnik (Prof. Hamacher / Prof. Wagner)
  • Director Sales and Business Development VPP Energy GmbH in München
  • Gründer und Technischer Geschäftsführer VK Energie GmbH

Publikationen:

  • Johannes Jungwirth, Josef Lipp: Pilotprojekt zur Wärmeversorgung in Haushalten mit Stirlingmotor BHKW, Energiewirtschaftliches Seminar am Lehrstuhl für Energiewirtschaft und Anwendungstechnik der TU München, München, 08.02.2010 (Vortrag)
  • Timm Rössel, Johannes Jungwirth, Michael Fischer, Urs Wehmhörner: Studie zu Potenzialen intelligenter Energiemanagementsystemen in Nichtwohngebäuden, April 2010 (Veröffentlichung)
  • Timm Rössel, Johannes Jungwirth: Intelligentes Lastmanagement in Nichtwohngebäuden mit Gebäudeautomationssystemen, XIA –intelligente Architektur, Ausgabe 07-09/2010 (Veröffentlichung)
  • Urs Wehmhörner, Josef Lipp, Johannes Jungwirth: Wärme und Strommanagement für Mikro-KWK-Anlagen mit Pufferspeichern, VDE Kongress, Leipzig 2010 (Vortrag & Poster & Tagungsbandbeitrag)
  • Timm Rössel, Johannes Jungwirth, Michael Fischer, Urs Wehmhörner: Intelligentes Lastmanagement in Nichtwohngebäuden, VDE Kongress, Leipzig 2010 (Poster & Tagungsbandbeitrag)Timm Rössel, Johannes Jungwirth: Intelligentes Lastmanagement mit Gebäudeautomations-systemen, World Sustainable Energy Days, Wels 2011 (Poster & Tagungsbandbeitrag)
  • Timm Rössel, Johannes Jungwirth: Intelligentes Lastmanagement mit Gebäudeautomationssystemen, HLH, Ausgabe März 2011 (Veröffentlichung)
  • Josef Lipp, Johannes Jungwirth: Field Test with Micro-CHP-Units in Residential Buildings, MicroGen II Conference, 04.-06. April Glasgow (Vortrag & Tagungsbandbeitrag)
  • Urs Wehmhörner, Josef Lipp, Johannes Jungwirth: Optimization of Multifunctional Heating Systems, MicroGen II Conference, 04.-06. April Glasgow (Vortrag & Tagungsbandbeitrag)
  • Johannes Jungwirth, Timm Rössel: Demand Side Management in Nichtwohngebäuden, FfE-Fachtagung -Energieeffizienz – eine stete Herausforderung an Wissenschaft und Praxis, München am 13.05.2011 (Vortrag & Tagungsbandbeitrag)
  • Johannes Jungwirth, Timm Rössel, Louis von Mandach: Potential of Demand Side Management in Nonresidential Buildings, CIRED – 21stInternational Conference and Exhibition on Electricity Distribution, Frankfurt 06. -09. Juni 2011 (Vortrag & Tagungsbandbeitrag)
  • Johannes Jungwirth: District Heating, Micro-CHP and Demand Side Management, Workshop an der East Kazakhstan State Technical University (EKSTU) in Ust-Kamenogorsk, Kasachstan, 13.09.2011 (Vortrag)
  • Josef Lipp, Johannes Jungwirth, Florian Sänger, Urs Wehmhörner, Peter Tzscheutschler: Mikro-BHKW im Ein-und Zweifamilienhaus. Jahresbericht 2010. Hg. v. ESB Erdgas Südbayern, München 2010
  • Timm Rössel, Johannes Jungwirth: Smart Buildings – Intelligentes Lastmanagement in Bürogebäuden, OTTI Forum Green Cities, Regensburg 29. – 30. September 2011, ISBN 978-3-941785-67-0 (Vortrag & Tagungsbandbeitrag)
  • Florian Sänger, Johannes Jungwirth, Josef Lipp: Mikro-BHKW-Feldmessungen mit NI CompactRIO, Virtuelle Instrumente in der Praxis 2011, Begleitband zum 16. VIP Kongress, VDE Verlag, Berlin, Oktober 2011, ISBN 978-3-8007-3329-3 (Tagungsbandbeitrag)
  • Johannes Jungwirth, Josef Lipp, Florian Sänger: Die NI LabVIEW Academy an der TU München – Einführung der Lehrveranstaltung „LabVIEW in der Energiewirtschaft“, Begleitband zum 16. VIP Kongress, VDE Verlag, Berlin, Oktober 2011, ISBN 978-3-8007-3329-3 (Vortrag & Tagungsbandbeitrag)
  • Johannes Jungwirth, Christian Berger, Timm Rössel: Umsetzung eines Lastmanagements in Bürogebäuden, Internationaler ETG-Kongress 2011, Würzburg, 08. –09. November 2011, ISBN 978-3-8007-3376-7 (Poster & Tagungsbandbeitrag)
  • Johannes Jungwirth, Timm Rössel: Smart Buildings als zukünftige Speicher – Chancen und Möglichkeiten von Speichern und Lastmanagement, 17. Herbstseminar 2011 – 100 Prozent Erneuerbar mit Energieeffizienz, Bern, 24. November 2011 (Vortrag & Tagungsbandbeitrag)
  • Johannes Jungwirth, Timm Rössel: Smart Buildings als zukünftige Speicher, Chancen und Möglichkeiten von Speichern und Lastmanagement, Der Weg zum Energieneutralen Bauen in Liechtenstein, ecowerk Fachverein für Aus- und Weiterbildung für energieeffiziente Gebäude im Fürstentum Liechtenstein, Vaduz, 27.01.2012 (Vortrag)
  • Johannes Jungwirth, Markus Fischer, Timm Rössel: Aufbau einer Hardware-in-the-Loop Versuchsumgebung für Gebäudeautomationssysteme, Begleitband zum 17. VIP-Kongress, VDE Verlag, Berlin, Oktober 2012, ISBN 978-3-8007-3412-2 (Vortrag & Tagungsbandbeitrag)
  • Josef Lipp, Florian Sänger, Johannes Jungwirth, Clemens Orendt: Modellversuch zur Stromspeicherung in Form von Wasserstoff im zukünftigen Energiesystem, Begleitband zum 17. VIP-Kongress, VDE Verlag, Berlin, Oktober 2012, ISBN 978-3-8007-3412-2 (Vortrag {Josef Lipp} & Tagungsbandbeitrag)
  • Johannes Jungwirth, Timm Rössel, Florian Sänger, Jakob Schneegans, Milica Grahovac, Simon Herzog, Vesna Mikulovic: SmartBuildings – Implementierung von Lastmanagementsystemen, VDE-Kongress 2012 Stuttgart, 5.-6. November 2012, ISBN 978-3-8007-3446-7, (Vortrag & Tagungsbandbeitrag)
  • Johannes Jungwirth: Die zukünftige Energieversorgung in Bayern, Agenda 21 Arbeitskreis Energie und Umwelt, Mallersdorf-Pfaffenberg, 28.11.2012 (Vortrag)Johannes Jungwirth: SmartBuildings in SmartGrids, Science-Business Interface for Innovation, JRC-TUM Partnership Event "Emerging Smart Electricity Systems", Munich, 20th-21st March 2013 (Vortrag)
  • Dennis Atabay, Simon Herzog, Florian Sänger, Johannes Jungwirth, Vesna Mikulovic: Self-Adapting Building Models and Optimized HVAC Scheduling for Demand Side Management, CIRED 22ndInternational Conference on Electricity Distribution, Stockholm 10-13 June 2013
  • Simon Herzog, Dennis Atabay, Johannes Jungwirth, Vesna Mikulovic: Self-Adapting Building Models for Model Predictive Control, Building Simulation 2013, Chambery 25-28 August 2013
  • Johannes Jungwirth, Vesna Mikulovic, Mike Pichler, Timm Rössel: Smart Buildings – flexible Teilnehmer in Smart Grids, smart city – Wiener Know-how aus Wissenschaft und Forschung, ISBN: 978-3-900607-50-0, Schmid Verlag, Wien, 2013
  • Johannes Jungwirth, Philipp Schaltenberg: KWK-und Wärmespeicheroptimierung – Den Betrieb bestehender Heizkraftwerke wirtschaftlich optimieren, 11. Bayerisches Energie Forum, München, 28. Juni 2018 (Vortrag und Veröffentlichung im Sonderdruck der Bayerischen Gemeindezeitung)
  • Johannes Jungwirth: KWK als Ergänzung zu Wind und Sonne – Flexibilität heben mit aktivem Wärmespeichermanagement, Stadtwerke Forum – Das Stadtwerk der Zukunft, Köln, 07.-08. November 2019
  • Johannes Jungwirth: Mit KI wirtschaftlich steuern, stadt + werk, Ausgabe 01/02 2020, K21 media AG, Tübingen, 2020
Jennifer Herud – Zentrumsassistentin Studien- und Technologiezentrum Feuchtwangen (FEU)

Jennifer Herud

Zentrumsassistentin Studien- und Technologiezentrum Feuchtwangen (FEU)

09852 86398-120 FEU 2.1.2 (An der Hochschule 1, 91555 Feuchtwangen) nach Vereinbarung vCard

Jennifer Herud

Jennifer Herud – Zentrumsassistentin Studien- und Technologiezentrum Feuchtwangen (FEU)

Zentrumsassistentin Studien- und Technologiezentrum Feuchtwangen (FEU)

Funktionen:

  • Zentrumsassistentin Studien- und Technologiezentrum Feuchtwangen (FEU)
Ralph-Peter Kappestein – Leiter Studierendenservice der School of Business and Technology (SBT)

Ralph-Peter Kappestein

Leiter Studierendenservice der School of Business and Technology (SBT)

0981 203633-16 BHS 3.02 (Brauhausstraße 15, 91522 Ansbach) nach Vereinbarung vCard

Ralph-Peter Kappestein

Ralph-Peter Kappestein – Leiter Studierendenservice der School of Business and Technology (SBT)

Leiter Studierendenservice der School of Business and Technology (SBT)

Funktionen:

  • Leiter Studierendenservice der School of Business and Technology (SBT)
  • Mitglied Senat und Hochschulrat

Betreute Studiengänge:

  • Interkulturelles Management in Voll- und Teilzeit (B.A.)
  • Angewandte Kunststofftechnik (B.Eng., berufsbegleitend)
  • Strategisches Management (B.A., berufsbegleitend)
  • Wertschöpfungsmanagement (B.A., berufsbegleitend)
  • Angewandte Künstliche Intelligenz und Digitale Transformation (M.A.)
  • Applied Biotechnology (M.Sc.)
  • Applied Research in Engineering Sciences (M.Sc.)
  • Digital Learning (M.A.)
  • Digital Marketing (M.A.)
  • Energiemanagement und Energietechnik (M.Eng.)
  • Innovation und Entrepreneurship (M.A.)
  • Internationales Produkt- und Servicemanagement (M.A.)
  • Medizintechnik (M.Eng.)
  • Multimediale Information und Kommunikation (M.A.)
  • Public Relations und Unternehmenskommunikation (M.A.)
  • Smart Energy Systems (M.Eng.)
  • Kreatives Management (MBA, berufsbegleitend)
  • Leadership (MBA, berufsbegleitend)
  • Zertifikatslehrgang Leadership im Gesundheitswesen
Dr. Gerd Hofmann – Studienfachberatung (Student Advisory Service) Smart Energy Systems (SES)

Dr. Gerd Hofmann

Studienfachberatung (Student Advisory Service) Smart Energy Systems (SES)

09852 86398-140 FEU 2.1.2 (An der Hochschule 1, 91555 Feuchtwangen) nach Vereinbarung vCard

Dr. Gerd Hofmann

Dr. Gerd Hofmann – Studienfachberatung (Student Advisory Service) Smart Energy Systems (SES)

Studienfachberatung (Student Advisory Service) Smart Energy Systems (SES)

Funktionen:

  • Studienfachberatung Smart Energy Systems (SES)
  • Wissenschaftlicher Mitarbeiter Campus Feuchtwangen
  • Koordinator Campus Feuchtwangen

Prof. Dr. Sigurd Schacht

Prof. Dr. Sigurd Schacht – Professor Smart Energy Systems (SES)

Professor Smart Energy Systems (SES)

Funktionen:

  • Studiengangsleiter Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)
  • Studienfachberatung Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)
  • Professor Innovation und Entrepreneurship (IUE)
  • Professor Smart Energy Systems (SES)
  • Koordinator der Fakultät Wirtschaft Zentrum für angewandte KI und Transfer (AN_KIT)

Lehrgebiete:

  • Angewandte Künstliche Intelligenz
  • Digitale Geschäftsprozesse
  • Digitale Transformation und Change Management

Vita:

Sigurd Schachts Lehre und Forschung ist fokussiert auf die Anwendung der Verfahren der künstlichen Intelligenz in Unternehmen und Gesellschaft. Vor seiner Tätigkeit an der HS Ansbach, war er Professor an der HS Heilbronn und langjährig bei zwei der BIG-4-Prüfungsgesellschaften tätig.

Publikationen:

  • Schacht, S., & Lanquillon, C. (2019). Blockchain und maschinelles Lernen. Springer Vieweg.
  • Schacht S. (2019): Blockchain eine Einführung. Wirtschaftsmagazin w.news der IHK Heilbronn.
  • Schacht S. et. al (2018): Predictive IT-Service Operation. In Loose T. (Hrsg.): Tagungsband Workshop 2018 ASIM/GI-Fachgruppe, Heilbronn 2018
  • Huettner O., Lanquillon C., Schacht S. (2018): Towards State of the Art in open-set Face Identification. In Loose T. (Hrsg.): Tagungsband Workshop 2018 ASIM/GI-Fachgruppe, Heilbronn 2018
  • Lanquillon, C; Schacht, S. (2016): A Big Data Change Detection System, in: Hertweck, D./ Decker, C. (Hrsg.): Digital Enterprise Computing 2016, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, Bonn 2016
  • Schacht, S., Lanquillon, C., Schmieder K., Effenberger J. (2016): Business element management as necessary part of the digital transformation in enterprises. 09/2016, DOI: 10.13140/RG.2.2.22864.00004
  • Schacht, S.; Küller, P. (2015): Enterprise Architecture Management und Big Data, in Dorschel, J. (Hrsg.): Praxishandbuch Big Data: Wirtschaft – Recht – Technik, Springer Gabler, 2015
  • Schacht, S. (2015): Von Big Data zum Wertbeitrag für das Unternehmen. Deloitte & Touche Unternehmergespräche Mai 2015, Nürnberg.
  • Schacht, S. (2008): Die Genossenschaften im Wettstreit der Unternehmensformen in ausgewählten EU-Staaten. Forschungsinstitut für Genossenschaftswesen an der Universität Erlangen-Nürnberg, 2008.
Dipl.-Ing. (FH) Oliver Abel – Laboringenieur Studien- und Technologiezentrum Feuchtwangen (FEU)

Dipl.-Ing. (FH) Oliver Abel

Laboringenieur Studien- und Technologiezentrum Feuchtwangen (FEU)

09852 86398-240 FEU 2.1.2 (An der Hochschule 1, 91555 Feuchtwangen) nach Vereinbarung vCard

Dipl.-Ing. (FH) Oliver Abel

Dipl.-Ing. (FH) Oliver Abel – Laboringenieur Studien- und Technologiezentrum Feuchtwangen (FEU)

Laboringenieur Studien- und Technologiezentrum Feuchtwangen (FEU)

Funktionen:

  • Laboringenieur Studien- und Technologiezentrum Feuchtwangen (FEU)