Articles | Volume 6, issue 3
Wind Energ. Sci., 6, 841–866, 2021
https://doi.org/10.5194/wes-6-841-2021
Wind Energ. Sci., 6, 841–866, 2021
https://doi.org/10.5194/wes-6-841-2021

Research article 07 Jun 2021

Research article | 07 Jun 2021

Wind turbine load validation in wakes using wind field reconstruction techniques and nacelle lidar wind retrievals

Davide Conti et al.

Data sets

SWE-UniStuttgart/ViConDAR: ViConDAR V1.0 (Version V1.0) A. Vaspe https://doi.org/10.5281/zenodo.4889772

Constrained Gaussian turbulence field simulations (Version 0.1.0) D. Conti and N. Dimitrov https://doi.org/10.5281/zenodo.4896514

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Short summary
We define two lidar-based procedures for improving the accuracy of wind turbine load assessment under wake conditions. The first approach incorporates lidar observations directly into turbulence fields serving as inputs for aeroelastic simulations; the second approach imposes lidar-fitted wake deficit time series on the turbulence fields. The uncertainty in the lidar-based power and load predictions is quantified for a variety of scanning configurations and atmosphere turbulence conditions.