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Contribution à l'optimisation de la gestion de production des parc éoliens

Abstract : Last decades saw a huge increase of the global wind energy demand because of its crucial contribution to the reduction of the CO2 emission for power generation. This situation highlighted some challenging aspects, such as the necessity to improve power yield maximization strategies. Indeed, wind farms (WFs) experience wake interactions, leading to power losses and fatigue loads for wind turbines (WTs). Promising solutions to mitigate these effects are based on Wind Farm control. The most common solutions currently being studied are the induction and the yaw control (or wake steering) strategies by controlling WTs individually. The present work deals with yaw control strategies and aims to characterize the effect of wind turbine wake deviation on the dynamics and global load variations of a downstream wind turbine, during a positive and negative yaw manoeuvre representing a misalignment/realignment scenarii. These were reproduced in wind tunnels while modelling the WTs as porous discs. Experiments were performed at two reduction scales and for two inflow conditions: homogenous isotropic and turbulent, and atmospheric boundary layer flows. The transient processes during yaw maneuvers were analysed from PIV and load measurement. While overall results show a non-dependence on the wake and load dynamics of the flow conditions and Reynolds scales, they highlight an influence of the yaw maneuver direction. In addition, the wake interaction between two full-scale WTs was also analysed through the processing of WT operational data acquired during a measurement campaign from the SMARTEOLE project. Through inter-correlations of power time series, time delays between neighboring WT responses were quantified, and their dependence to the degree of wake interaction and to the incoming wind speed is finally assessed.
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Submitted on : Thursday, April 29, 2021 - 9:48:08 AM
Last modification on : Friday, April 30, 2021 - 3:21:45 AM


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  • HAL Id : tel-03211859, version 1


Stefano Macri. Contribution à l'optimisation de la gestion de production des parc éoliens. Eco-conception. Université d'Orléans, 2020. Français. ⟨NNT : 2020ORLE3068⟩. ⟨tel-03211859⟩



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