Information on individual educational components (ECTS-Course descriptions) per semester
Degree programme: Master Sustainable Energy Systems
Type of degree: FH Master´s Degree Programme
Part-time
Winter Semester 2022

Course unit title Efficient Networks
Course unit code 072722010502
Language of instruction German
Type of course unit (compulsory, optional) Compulsory optional
Semester when the course unit is delivered Winter Semester 2022
Teaching hours per week 2
Year of study 2022
Number of ECTS credits allocated Second Cycle (Master)
Number of ECTS credits allocated 3
Name of lecturer(s) Klaus RHEINBERGER


Prerequisites and co-requisites

None

Course content

Typical applications: electrical and thermal networks; local energy communities; district heating networks, transport networks (e.g. commuters); network expansion; matching markets and trading networks; autonomous agents (e.g. prosumers) on energy network nodes. Methods:

  • Basics of graph theory: especially data structures.
  • Problem classes: maximum flow, minimum cost flow, transhipment problems (assignment problems, transport problems), shortest route
  • Solution Methods: Linear Optimization, Algorithms of Graph Theory

Learning outcomes

After completing the course, students can optimise networked technical, economic, ecological and coupled systems. They can

  • give an overview of optimization methods for networked problems and assess their suitability for certain problems.
  • apply appropriate optimization methods to networked problems and interpret their results and sensitivities.
  • assess which data communication in a network is useful for an application (value of information).

Planned learning activities and teaching methods

Integrated Course

Assessment methods and criteria
  • Assessment of exercises
  • Oral or written exam

Comment

None

Recommended or required reading
  • Turau, Volker; Weyer, Christoph (2015): Algorithmische Graphentheorie. 4th edition. Berlin, Boston: De Gruyter. Online im Internet: DOI: 10.1515/9783110417326 (Zugriff am: 05.08.2019).
  • Bertsekas, Dimitri P. (1998): Network Optimization: Continuous And Discrete Models. Belmont, Mass: Athena Scientific.
  • Bazaraa, Mokhtar S.; Jarvis, John J.; Sherali, Hanif D. (2010): Linear Programming and Network Flows. 4. Hoboken, N.J: Wiley.
  • Hamacher, Horst W. (2006): Lineare Optimierung und Netzwerkoptimierung: Zweisprachige Ausgabe Deutsch Englisch. 2., verb. Aufl. 2006. Wiesbaden: Vieweg+Teubner Verlag.
  • Knieps, Gunter (2007): Netzökonomie. 2007. Aufl. Wiesbaden: Gabler Verlag.
  • Schellong, Wolfgang (2016): Analyse und Optimierung von Energieverbundsystemen. 1. Aufl. 2016. Berlin Heidelberg: Springer Vieweg.
  • Easley, David; Kleinberg, Jon (2010): Networks, Crowds, and Markets: Reasoning about a Highly Connected World. New York: Cambridge University Press.

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

Presence Course without obligation to be present