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Network Model Renewable Energies

Module name (EN):
Name of module in study programme. It should be precise and clear.
Network Model Renewable Energies
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Industrial Engineering, Bachelor, ASPO 01.10.2013
Module code: WIBASc-525-625-Ing17
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P420-0398
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
1V+1U+2PA (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: 5
Mandatory course: no
Language of instruction:
German
Assessment:
Project work

[updated 02.07.2019]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

WIBASc-525-625-Ing17 (P420-0398) Industrial Engineering, Bachelor, ASPO 01.10.2013 , semester 5, optional course, general subject
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
WIBASc-525-625-Ing10 Principles of Supply Networks and Systems
WIBASc-525-625-Ing11 Utility Network Calculation and Planning


[updated 20.01.2020]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Rudolf Friedrich
Lecturer:
Prof. Dr. Rudolf Friedrich


[updated 20.01.2020]
Learning outcomes:
After successfully completing this module, students will have basic technical knowledge of electrical supply networks and systems.
-        They will be familiar with the design, function and operating behavior of regenerative power plants
-        They will be familiar with the technical problems involved in the energy transition
-        They will understand the interaction between regenerative power plants and electrical supply networks
-        Students will be able to simulate a real electrical supply network as an intelligent network (incl. network automation).


[updated 02.07.2019]
Module content:
1.      Development of intelligent networks with renewable energies
2.      Flexibility in intelligent networks
_        Regenerative power plants
_        Storage
_        Consumers
3.      Low-voltage network automation
_        Switches
_        Measuring systems
_        Current, voltage and power measurement
4.      Technical restrictions
_        Grid voltage stabilization
_        Resource capacity utilization
5       Network modeling
_        Scaling factors
_        Electrical components (relays, resistors, LEDs, etc.)
_        Circuitry

[updated 02.07.2019]
Teaching methods/Media:
Lab work

[updated 02.07.2019]
Recommended or required reading:
      Lindner, H./ Brauer, H./ Lehmann, C.: Taschenbuch der Elektrotechnik und Elektronik, 9. Auflage, Carl Hanser Verlag, 2008
_        Haubrich, H.-J.: Elektrische Energieversorgungssysteme, Verlag der Augustinus Bhg, 1997
_        Heuck, Dettmann _Energietechnik_, Vieweg-Teubner, 8.Auflage
_        Energie in Deutschland _ BMWi
_        Wesselak, Schabbach, Regenerative Energietechnik, Springer-Verlag


[updated 02.07.2019]
 
[Thu Nov 21 13:56:39 CET 2024, CKEY=wnre, BKEY=wi2, CID=WIBASc-525-625-Ing17, LANGUAGE=en, DATE=21.11.2024]