phy644 Wind Energy Physics, Data & Analysis (Vollständige Modulbeschreibung)

phy644 Wind Energy Physics, Data & Analysis (Vollständige Modulbeschreibung)

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Modulbezeichnung Wind Energy Physics, Data & Analysis
Modulkürzel phy644
Kreditpunkte 6,0 KP
Verantwortliche Einrichtung Institut für Physik
Zuständige Personen
Modulverantwortung:
Martin Kühn
Prüfungsberechtigt:
Kerstin Avila Canellas, Gerald Steinfeld, Martin Kühn, Herena Torio, Matthias Wächter
Teilnahmevoraussetzungen

The module starts in the winter term: Wind Energy Physics has to be taken before participating in Wind Physics Measurement Project

Unterrichtssprache Englisch
Lernergebnisse/Kompetenzen

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

Modulinhalte

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)

Literaturempfehlungen
  • 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: http://www.measnet.com/wpcontent/
  • uploads/2012/04/Measnet_SiteAssessment_V10.pdf
  • IEC 61400 12 1:2005 Power performance measurements of electricity producing wind turbines; guideline
Zu erbringende Leistungen
Prüfungsart, -umfang, -dauer

Portfolio

Prüfungszeiten
Dauer in Semestern 1 Semester
Angebotsrhythmus jährlich
Workload
Arbeitsaufwand gesamt Davon Präsenzzeit
180 h

attendance: 2*28 hrs, self-study: 124 hrs

Lehrveranstaltungsform
Veranstaltungsart SWS Angebotsrhythmus Workload Präsenzzeit
Vorlesung 4 SoSe oder WiSe 56 h
Zusätzliche Hinweise

The module starts in the winter term: Wind Energy Phyics has to be taken before participating in Wind Physics Measurement Project

Aufnahmekapazität:
unbegrenzt

Lehr-/Lernform:
Seminar: 2 SWS, Seminar: 2 SWS

Verwendbarkeit des Moduls
  • Master Engineering Physics > Schwerpunkt: Renewable Energies