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Modeling, Control and Design of Wind Energy Systems

Course 0000002805 in SS 2020

General Data

Course Type lecture
Semester Weekly Hours 2 SWS
Organisational Unit Chair of Wind Energy (Prof. Bottasso)
Lecturers Stefan Löw
Franz Mühle
Chengyu Wang
Responsible/Coordination: Carlo Bottasso
Emmanouil Nanos
Dates Wed, 16:00–18:00, MW 0350

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks The course offers a broad introduction to the engineering principles underlying the operation of wind turbines, as well as their design. The course is organized in the following five main modules: • Introduction: introduction to wind energy, and overview of wind energy systems and wind turbines; the wind resource and its characteristics; anatomy of a modern wind turbine; wind turbine components; electrical aspects. • Wind turbine aerodynamics: overview of rotor aerodynamics; one-dimensional momentum theory and Betz limit; wake swirl; airfoils; blade element momentum theory, dynamic inflow; unsteady corrections, blade tip and hub losses, dynamic stall, stall delay and three-dimensional effects; deterministic and stochastic wind models. • Dynamics and aeroservoelasticity: rigid and elastic flapping and lagging blade; the rotor as a filter, aerodynamic damping, flutter, limit cycle oscillations; loads; stability analysis; aeroservoelastic models of wind turbines; aeroservohydroelastic models for off-shore applications. • Wind turbine control: overview and architecture of wind turbine control systems; on-board sensors; supervisory control; regulation strategies; trimmers, load-reducing control, dampers; load and wind observers. • Wind turbine design: overview of design criteria and certification guidelines; aerodynamic design; structural design; design and choice of sub-systems and components.
Links E-Learning course (e. g. Moodle)
TUMonline entry
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