The course is an introduction to the atmospheric physics and associated basic statistical analysis relevant to wind energy. It deals with the atmospheric boundary layer, including stability, roughness and topography, mean winds, and extreme wind statistics. It also involves turbulence and gusts; description of these includes spectra, coherence and probability density functions. Sources of wind data are reviewed; wind resources and their assessment, as well as site assesment and the IEC standard are covered.
Main Goal
To give a general and usable understanding of atmospheric flow/physics and statistics relevant for wind energy, including wind resource assessment, site assessment, and driving atmospheric input for aero-elastic loads calculations
Skills to be Gained
Gain skills in numerical programming (e.g. Python, MatLab, Mathematica)
Practical Notes
Contact details: mkel@dtu.dk
Date:
August 2025
Period:
Expected duration:
3–6 Months
Format:
Hybrid
Level:
Advanced
Language of instruction:
English
Requirements:
Need to know/use undergraduate mathematics including differential & integral calculus with vectors & complex numbers (e.g. DTU 01005 & 01901). Some basic fluid mechanics/dynamics is also used, and thermodynamics is a bonus. Course now uses Python assignment templates, which reduces the workload for the student compared to 2024 and earlier; thus experience with Python (also Matlab) is helpful—equivalent to e.g. DTU 02631/02633.
Teaching and assessment methods:
The course material is primarily a book of notes (PDF-file), with interactive lecture at the chalkboard also involving some in-class exercises (derivations) and including supplementary slides. The course is assignment-driven; numerical programming (e.g. Python, MatLab, Mathematica) is needed to conduct the assignments. Oral examination and exercises
The grade is based on an overall assessment based on mandatory assignments, together with the oral examination.