46W24 Aerodynamik og Aeroelasticitet
2026/2027
Overordnede kursusmål
The course objective is to gain an understanding of wind turbine
design and operation. Specifically, students will study the basic
theories and models used in a full commercial aeroelastic code for
wind turbine load estimation. This will involve examining the
coupling between unsteady rotor aerodynamics and dynamic structural
models, and implementing and simulating the wind turbine
controller.
Læringsmål
En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:
- Run, alter and describe an unsteady Blade Element Momentum
method to model the aerodynamic forces on a rotor
- Describe and implement a dynamic wake/inflow model in the
unsteady aerodynamic model
- Describe and implement unsteady 2-D aerodynamics in the
unsteady aerodynamic model
- Describe and derive how the atmospheric turbulent inflow
excites the rotor structure and leads to the turbine load
- Couple the unsteady aerodynamic model with a simple structural
model
- Explain the operational regions of wind turbines and the
control objective of each region
- Analyse and implement a basic wind turbine controller
- Simulate and describe the static and dynamic response and loads
on a turbine
- Describe the stability analysis of a wind turbine and discuss
its issues
- Use AI based tools to support the understanding and
communication of aerodynamic, aeroelastic and control concepts, and
critically evaluate the correctness of AI generated
explanations.
Kursusindhold
In this course you will run, alter and describe simple aeroelastic
models of a wind turbine in a numerical framework (Python) to
couple a structural model with an unsteady aerodynamic rotor model.
You will also play with and operate a basic controller and simulate
the response of a wind turbine.
The final grade is based on four assignments about the course
content and a video presentation on a related topic. Students will
use AI based tools to support their learning, preparation of the
assignments and presentation, and are expected to critically
evaluate the correctness of AI generated explanations.
Sidst opdateret
28. april, 2026