Stud.IP Uni Oldenburg
University of Oldenburg
09.07.2020 07:40:18
pre131 - Design and Simulation of Wind Turbines (Complete module description)
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Module label Design and Simulation of Wind Turbines
Module code pre131
Credit points 12.0 KP
Workload 360 h
Faculty/Institute Institute of Physics
Used in course of study
  • Master's Programme Postgraduate Programme Renewable Energy (Master) >
Contact person
Authorized examiners
Entry requirements
Skills to be acquired in this module

After successful completion of the module students should be able to:

-        critically contribute to the discourse on wind energy design and simulation

-        explain and evaluate technical details of a wind energy converter

-        decide and to defend a design of a wind energy converter

-        recommend on technical details of a wind energy converter

-        transfer their knowledge to more complex topics such as simulation and measurements of dynamic loads

-        assess different aspects of wind energy farms by modelling, comparison, explanation of wind energy potential, wind energy farm’s output, power curves, wind energy project development

-        assess in detail influences of meteorological/climatological aspects on the performance of wind power systems

-        summarize physical processes governing atmospheric wind flows

-        value atmospheric boundary layer flow relevant for wind power conversion
-        argue methods for wind resource assessment and forecasting

Module contents

Content of the module:

The module accesses wind energy from a rather technical approach.

Design of Wind Energy Systems (Lecture & Project ‑ 180 h workload)

-        Calculation of the aerodynamics of wind turbines using the blade element momentum theory,

-        Specific design situations for wind turbines,

-        Estimation of the influence of dynamics of a wind turbine, especially in the context of fatigue loads,

-        Aeroelastic simulation of wind turbines

-        Annual Energy Production (AEP)

-        Design of a commercial (equivalent) wind turbine

Advanced Wind Energy Meteorology (Lecture ‑ 90 h workload)

-        Atmospheric Boundary Layer (turbulence, vertical structure, special BL effects)

-        Atmospheric Flow Modelling: Linear models, RANS & LES models

-        Wind farm modelling

-        Offshore-Specific Conditions

-        Resource Assessment & Wind Power Forecasting

-        Wind Measurements & Statistics

Wind Energy Applications - from Wind Resource to Wind Farm Operations (Lecture ‑ 90 h workload)

-       Evaluation of Wind Resources

  • Weibull Distribution
  • Wind velocity measurements to determine energy yield
  • Basics of Wind Atlas Analysis and Application Program (WAsP) Method, Partial models using WAsP
  • Measure-Correlate-Predict (MCP) Method of long term corrections of wind measurement data in correlation to long term reference data
  • Conditions for stable, neutral and instable atmospheric conditions
  • Wind yield from wind distribution and the power curve
  • Basics in appraising the yearly wind yield from a wind turbine.

-       Wake Effect and Wind Farm

  • Recovery of original wind fields in the downstream of wind turbines
  • Basics of Risø Models
  • Spacing and efficiency in wind farms
  • Positive and Negative Effects of Wind Farms

-       Wind Farm Business

  • Income from the energy yield from wind farms
  • Profit optimization by increase of energy production
  • Wind farm project development
  • Wind farm operation and
  • Surveillance of power production vs. wind climate, power curves, and turbine availability
Reader's advisory
Languages of instruction German, English
Duration (semesters) 1 Semester
Module frequency
Module capacity unlimited
Modullevel BC (Basiscurriculum / Base curriculum)
Modullevel ---
Modulart Wahlpflicht / Elective
Modulart je nach Studiengang Pflicht oder Wahlpflicht
Lern-/Lehrform / Type of program
Vorkenntnisse / Previous knowledge
Examination Time of examination Type of examination
Final exam of module
Course type Lecture
SWS 6.00
Frequency SuSe and WiSe
Workload attendance 84 h