Activity: Examinations and supervision › External examination
The outcome of (multi-dimensional) LiDAR measurements is used for the evaluation and the refinement of steady and dynamic wake model assumptions. However, the modelling of wakes represents a source of inaccuracies within the aim to minimise the difference between calculated and real loads and energy yields. The associated need to further refine the current calculation possibilities implies a more precise mapping of the interaction reality of the inflow and the turbine, but above all, the analysis how far these differ. Within the framework of comparability of synthetic and real data, the objective is first, to reproduce the deterministic characteristics of the wind field measured in free-field on a wind turbine and afterwards, to compare and analyse the simulation results of the reconstructed synthetic wind field with the numerical model of the turbine against corresponding measured turbine data. In this superordinated context, this thesis imparts the reconstruction of single turbine wake wind fields based on long-range LiDAR measurements and the data processing in order to be applicable not only for the comparison of aero-elastic load calculations against loads from freefieldcmeasurements but as well for measurement validation, wake characterisation and wakecmodel evaluation. • How do LiDAR measurements need to be performed and processed to reconstruct dynamic 3D1C (three spatial dimensions, one flow component) wake wind fields? • Which model assumption must be made for a 3D1C wake wind-field reconstruction? • What are the characteristics of deviations in wake wind-field reconstruction?
14 Feb 2020
Examination held at
University of Oldenburg
Degree of Recognition
Lidar wid fiels reconstruction filtering of lidar data