Influences of lidar scanning parameters on wind turbine wake retrievals in complex terrain

Robey, Rachel; Lundquist, Julie K.

doi:https://doi.org/10.5194/wes-9-1905-2024

Articles | Volume 9, issue 10

https://doi.org/10.5194/wes-9-1905-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-9-1905-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 9, issue 10

Research article

|

08 Oct 2024

Research article |

| 08 Oct 2024

Influences of lidar scanning parameters on wind turbine wake retrievals in complex terrain

Rachel Robey and Julie K. Lundquist

Data sets

Supporting simulation and observation files for "Influences of lidar scanning parameters on wind turbine wake retrievals in complex terrain" R. Robey and J. K. Lundquist https://doi.org/10.5281/zenodo.10652098

Perdigao Field Experiment re3data.org https://doi.org/10.17616/R31NJMN4

Model code and software

Virtual Lidar Python R. Robey https://gitlab.com/raro0632/virtual-lidar

A Description of the Advanced Research WRF Model Version 4 (https://github.com/a2e-mmc/WRF/tree/mmc_update_v4.3) W. C. Skamarock et al. https://doi.org/10.5065/1DFH-6P97

Virtual Lidar Tool in Python R. Robey https://doi.org/10.5281/zenodo.13786964

Short summary

Measurements of wind turbine wakes with scanning lidar instruments contain complex errors. We model lidars in a simulated environment to understand how and why the measured wake may differ from the true wake and validate the results with observational data. The lidar smooths out the wake, making it seem more spread out and the slowdown of the winds less pronounced. Our findings provide insights into best practices for accurately measuring wakes with lidar and interpreting observational data.