Domenico Ruotolo
Intercomparison of dynamic wake modeling frameworks for offshore wind farms.
Rel. Sandra Pieraccini, Wim Munters. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2024
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Abstract
Wind energy plays a crucial role in the transition towards sustainable power generation. However, the intricate flow dynamics within densely clustered offshore wind farms pose significant challenges leading to efficiency losses due to wake interactions, larger fatigue loading due to enhanced turbulence within the wind plant and aeroelastic phenomena. The estimation of the performance of a wind plant can be done using different wake models. Analytical models are often used to predict the wake effects and to assess control-oriented strategies with a lower computation time compared to higher fidelity wake models. However, few of these engineering tools are able to perform unsteady wake simulations.
There also exist medium-fidelity solvers which aim to balance the need for accurate dynamic wake modelling while keeping low computational cost
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