Stud.IP Uni Oldenburg
Universität Oldenburg
27.01.2022 00:20:01
phy644 - Wind Energy Physics, Data & Analysis (Vollständige Modulbeschreibung)
Originalfassung Englisch PDF Download
Modulbezeichnung Wind Energy Physics, Data & Analysis
Modulkürzel phy644
Kreditpunkte 6.0 KP
Workload 180 h
180 h (Präsenzzeit 56h, Selbststudium: 124h)
Einrichtungsverzeichnis Institut für Physik
Verwendbarkeit des Moduls
  • Master Engineering Physics (Master) > Schwerpunkt: Renewable Energies
Zuständige Personen
Heinemann, Detlev (Prüfungsberechtigt)
Kühn, Martin (Prüfungsberechtigt)
Lukassen, Laura (Prüfungsberechtigt)
Peinke, Joachim (Prüfungsberechtigt)
The module starts in the winter term: Wind Energy Physics has to be taken before participating in Wind Physics Measurement Project
After successful completion of the module students should be able to: - Evaluate wind energy related measurements, - Interprete such measurements gained in the field of wind energy applications, - Critically evaluate measured data
The winter term lecture lecture teaches the basic knowledge in wind energy physics. Physical properties of fluids, wind characterization and anemometers, aerodynamic aspects of wind energy conver sion, dimensional analysis, (pi-theorem), and wind turbine performance, design of wind turbines, electrical systems. The sequentially following WPhyMPr adresses problems based on real wind data, which will be solved on at least four important aspects in wind physics. The course will comprise lectures and assignments as well as self-contained work in groups of 3 persons. The content consist of the following four main topics, following the chronological order of the work process: Data handling(measurements, measurement technology, handling of wind data, assessment of measurement artefacts in wind data, preparation of wind data for further processing); Energy Meteorology(geographical distribution of winds, wind regimes on different time and length scales, vertical wind profile, distribution of wind speed, differences between onshore and offshore conditions); Measure – Correlate – Predict (MCP)(averaging of wind data, bin-wise averaging of wind data, long term correlation and long term correction of wind data, sources of long term wind data); LIDAR(analyses and conversion of data from LIDAR measurements)

R. Gasch , J. Twele : Wind Power Plants Fundamentals, Design, Construction and Operation, 2nd Ed., Springer Verlag, 2012, ISBN: 978 3 642 22937 4

S. Emeis : Wind Energy Meteorology: Atmospheric Physics for Wind Power Generation, Springer, 2012

Evaluation of site specific wind conditions; MEASNET Guideline; Version 1; November 2009; free available in the internet:


IEC 61400 12 1:2005 Power performance measurements of electricity producing wind turbines; guideline
Unterrichtssprache Englisch
Dauer in Semestern 1 Semester
Angebotsrhythmus Modul jährlich
Aufnahmekapazität Modul unbegrenzt
The module starts in the winter term: Wind Energy Phyics has to be taken before participating in Wind Physics Measurement Project
Modullevel / module level MM (Mastermodul / Master module)
Modulart / typ of module Wahlpflicht / Elective
Lehr-/Lernform / Teaching/Learning method Seminar: 2 SWS, Seminar: 2 SWS
Vorkenntnisse / Previous knowledge
Prüfung Prüfungszeiten Prüfungsform
Lehrveranstaltungsform Vorlesung
Angebotsrhythmus SoSe oder WiSe
Workload Präsenzzeit 56 h