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18.10.2021 02:54:55
phy644 - Wind Energy Physics, Data & Analysis (Complete module description)
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Module label Wind Energy Physics, Data & Analysis
Module code phy644
Credit points 6.0 KP
Workload 180 h
(
attendance: 2*28 hrs, self-study: 124 hrs
)
Institute directory Institute of Physics
Applicability of the module
  • Master's Programme Engineering Physics (Master) > Schwerpunkt: Renewable Energies
Responsible persons
Heinemann, Detlev (Authorized examiners)
Kühn, Martin (Authorized examiners)
Lukassen, Laura (Authorized examiners)
Peinke, Joachim (Authorized examiners)
Prerequisites
The module starts in the winter term: Wind Energy Physics has to be taken before participating in Wind Physics Measurement Project
Skills to be acquired in this module
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
Module contents
The winter term 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, (pitheorem), 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
Reader's advisory

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
Links
Language of instruction English
Duration (semesters) 1 Semester
Module frequency Sommer- und Wintersemester
Module capacity unlimited
Reference text
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
Examination Time of examination Type of examination
Final exam of module
1 Exam
Course type Lecture
SWS 4
Frequency SoSe oder WiSe
Workload attendance 56 h