Articles | Volume 7, issue 3
Wind Energ. Sci., 7, 1069–1091, 2022
https://doi.org/10.5194/wes-7-1069-2022
Wind Energ. Sci., 7, 1069–1091, 2022
https://doi.org/10.5194/wes-7-1069-2022
Research article
24 May 2022
Research article | 24 May 2022

Comparing and validating intra-farm and farm-to-farm wakes across different mesoscale and high-resolution wake models

Jana Fischereit et al.

Data sets

ERA5 hourly data on single levels from 1979 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.adbb2d47

WRF and PyWake configuration files for publication "Comparing and validating intra-farm and farm-to-farm wakes across different mesoscale and high-resolution wake models" J. Fischereit, K. S. Hansen, X. G. Larsén, M. P. van der Laan, P.-E. Réthoré, and J. P. Murcia Leon https://doi.org/10.5281/zenodo.5570396

Model code and software

PyWake Copernicus CMEMS https://gitlab.windenergy.dtu.dk/TOPFARM/PyWake

DTUWindEnergy/PyWake: PyWake M. M. Pedersen, P. van der Laan, M. Friis-Møller, J. Rinker, and P. Réthoré https://doi.org/10.5281/zenodo.2562662

WRF Version 4.2.2 WRF https://github.com/wrf-model/WRF/releases/tag/v4.2.2

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Short summary
Wind turbines extract kinetic energy from the flow to create electricity. This induces a wake of reduced wind speed downstream of a turbine and consequently downstream of a wind farm. Different types of numerical models have been developed to calculate this effect. In this study, we compared models of different complexity, together with measurements over two wind farms. We found that higher-fidelity models perform better and the considered rapid models cannot fully capture the wake effect.