inf518 - Foundations of Energy Informatics (Complete module description)

inf518 - Foundations of Energy Informatics (Complete module description)

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Module label Foundations of Energy Informatics
Module code inf518
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Applicability of the module
  • Bachelor's Programme Business Informatics (Bachelor) > Akzentsetzungsbereich Praktische Informatik und Angewandte Informatik
  • Bachelor's Programme Computing Science (Bachelor) > Akzentsetzungsbereich - Wahlbereich Informatik
  • Master of Education Programme (Gymnasium) Computing Science (Master of Education) > Wahlpflichtmodule (Praktische Informatik)
  • Master of Education Programme (Hauptschule and Realschule) Computing Science (Master of Education) > Mastermodule
Responsible persons
  • Lehrenden, Die im Modul (authorised to take exams)
  • Rauh, Andreas (module responsibility)
  • Vogel-Sonnenschein, Ute (module responsibility)
Prerequisites

Diesem Modul können Sie gut folgen, wenn Sie Vorkenntnisse mitbringen in

  • Grundkenntnisse in Lineare Algebra,
  • Analysis,
  • Grundlegende Programmierkenntnisse
Skills to be acquired in this module

The students learn to recognize the limits of their own specialist discipline in the application and to identify and classify research questions. They have a basic understanding of the structure of such systems and their physical/chemical properties. and can model simple system components.

Professional competences

The students

  • know the basics of modern energy systems and energy markets
  • can critically classify issues in the context of energy systems and energy research
  • are familiar with the structure of selected energy-related components in energy systems
  • know the regulatory challenges and components in energy systems and their electrotechnical properties
  • know approaches to the experimental identification of energy technology components.


Methological competences
The students

  • can apply computer science methods for energy systems and energy research
  • can model and simulate simple dynamic systems in a control-oriented form in Matlab/Simulink
  • independently acquire knowledge on given questions


Social competences
The students

  • discuss appreciatively in an interdisciplinary context
  • work cooperatively in teams to solve given tasks


Self competences
The students

  • deepen their competence in presenting the results they have worked out themselves
Module contents

The first part of the module gives an introduces the different topics in energy informatics. The role of computer science in this area is explained on the basis of a subject area and the connection between energy technology and energy management issues and basic IT skills is shown.

Topics are

  • Foundations of electrical engineering and power management
  • Energy markets
  • Network planning and management
  • Demand Side Management
  • Virtual Power Plants

 The second part addresses the control-oriented modelling on the example of energy systems and components taking into account their physical and electro-technical features.
We will derive models of system components like battery storage, wind turbines, photovoltaics and fuel cells.

The participants will design first control-oriented Models with MatLab/Simulink and validate them e.g. by using measurements of open circuit voltages of batteries. ( Basics of Matlab Simulink will be explained in the tutorials. The batteries’ internal resistances and charge/discharge dynamics are identified by controllable electronic loads in conjunction with programmable rapid control prototyping hardware
Recommended reading
  • Hofmann, Lutz: Elektrische Energieversorgung 
    Band 1 & 2. Berlin, De Gruyter Oldenbourg, 2019, 
    DOI: 10.1515/9783110548532 / 10.1515/9783110548600
  • V. Crastan: Elektrische Energieversorgung 2 (Energiewirtschaft und Klimaschutz, Elektrizitätswirtschaft und Liberalisierung, Kraftwerkstechnik und alternative Stromversorgung, chemische Energiespeicherung), 
    Springer Vieweg, 4. Auflage, 2016
  • Weitere, aktuelle Literatur wird in der Vorlesung bekannt gegeben.
Links
Languages of instruction German, English
Duration (semesters) 1 Semester
Module frequency every summer term
Module capacity 20
Teaching/Learning method V+Ü
Type of course Comment SWS Frequency Workload of compulsory attendance
Lecture 2 SuSe 28
Exercises 2 SuSe 28
Total module attendance time 56 h
Examination Prüfungszeiten Type of examination
Final exam of module

During the semester

Portfolio