The lecture/Der Vortrag
A high situational awareness is required for decision making and control scheduling.
It allows for a trade-off between greedy power maximisation and further control objectives such as load alleviation, grid compliance or power balancing on wind farm level.
Recent developments towards more flexible blade and tower structures make the inflow estimation more challenging, while also increasing its relevance. Nacelle anemometers are too influenced by the rotor and nacelle aerodynamics - thus the rotor itself needs to be employed as a sensor, via suitable estimator formulations.
In this session, David Onnen from the University of Oldenburg introduces the concept of wind turbine inflow estimation via Kalman Filtering.
And in the end, just doing this in simulation is no fun – the concepts have to prove their relevance in experiments, ideally in the field Thus, the session will also cover the yarns of experimental campaigns, building
scaled models, climbing wind turbines and installing lidars. Be excited for a session that extends from the professional views on technology readiness - level down to an approachable level of "how to answer nature's call from a wind turbine".
Join for an exclusive, forward-looking presentation and bring your questions for the subsequent discussion round.
30 minutes Lecture + 30 minutes Q&A