Course Description · Wind Resources

Keywords: Introduction to meteorology, including mesoscale/microscale modelling, wake effects.

Course Responsible: Jacob Berg

General Course objectives

The focus of the course is to get familiar with necessary tools and give an understanding of wind resources to perform wind energy resource assessment at various scales.

Learning Objectives

A student who has met the objectives of the course will be 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 modeling, and how they can be used together
  • Identify potential errors in 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 model, parameters, inputs needed) for wind resource assessment campaigns, including observations


In this course, you will learn by doing, with emphasis on iterative, active learning--through addressing and solving specific problems. You will look into topics, like large-scale atmospheric and mesoscale motion and force balances; relevant thermodynamic effects; basic atmospheric boundary layer structure and flow phenomena; micro- and meso-scale 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).

You will have to complete several mandatory assignments in the course. The information required to solve the problems will be provided through short modules consisting of video presentations, notes, book excerpts, quizzes and live Q/A sessions with interdependent links. 



Jacob Berg
Associate Professor
DTU Wind Energy
+45 46 77 54 54


Neil Davis
DTU Wind Energy
+45 93 51 13 11


Mark C. Kelly
Senior Researcher
DTU Wind Energy
+45 46 77 50 20


Andrea N. Hahmann
Senior Scientist
DTU Wind Energy
+45 46 77 54 71