Master English 5 ECTS

Wind Resources – course

The course will provide the participant with the necessary tools and understanding to perform energy resource assessment at various scales.

The course covers topics like, large-scale atmospheric and mesoscale motion and force balances; relevant thermodynamic effects; basic atmospheric boundary layer structure and flow phenomena; micro- and mesoscale modeling and practices, including basic parameterizations and numerical aspects, turbine representation and wakes; and analysis and use of wind statistics (incl. e.g. wind atlas data).

Learning objectives

After completing this course, the participant is able to:

  • List the mechanisms that affect the Annual Energy Production (AEP) of a wind farm.
  • Explain the basic driving mechanisms for wind, from global processes down to those linked to the local topography.
  • Explain the differences between micro- and mesoscale modelling, and how they can be used together.
  • Identify potential errors in the setup of mesoscale and microscale models, through inspection of both inputs/setup and model results.
  • Explain the principles, assumptions, and limitations behind a wind atlas (e.g. Global Wind Atlas or regional wind atlases), and use a wind atlas for simple resource estimation.
  • Calculate the AEP for simple sites and wind farms, as driven by observations or potentially mesoscale model output.
  • Analyse meteorological time series of mean wind and direction with statistical methods.
  • Select optimal wind farm layouts based on local conditions.
  • Design numerical setup (type[s] of models, parameters, inputs needed) for wind resource assessment campaigns, including observations.


This course is part of the Online Master of Wind Energy.

If you want to study the course, you need to be accepted to the Master’s programme.
Read more about the admission requirements for the Online Master of Wind Energy.

Duration and exam

The course has a duration of 13 weeks and concludes with an oral exam.



13 weeks

Start 1. September

11.000,00 DKK