EGU21-7692
https://doi.org/10.5194/egusphere-egu21-7692
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Modelling windfarm wakes in operational forecasting model HARMONIE-AROME

Natalie Theeuwes1, Bart van Stratum2, Bert van Ulft1, Jan Barkmeijer1, Sukanta Basu3, and Ine Wijnant1
Natalie Theeuwes et al.
  • 1Royal Netherlands Meteorological Institute, de Bilt, the Netherlands (natalie.theeuwes@knmi.nl)
  • 2Meteorology and Air Quality, Wageningen University, the Netherlands
  • 3Faculty of Civil Engineering and Geosciences, TU Delft, the Netherlands

Wind power production in the European Union (EU) is steadily increasing, specifically on the North-Sea. Wind farms are growing both in number and size, while weather models evolve to higher resolutions. This means that the effect of wind farms can no longer be ignored by weather prediction models. Wind farms essentially decelerate the wind (blockage and wake effects) and increase turbulence, indirectly influencing temperature and humidity. In this study, we have included the widely used Fitch et al. (2012) windfarm parameterisation in the operational mesoscale model HARMONIE-AROME. Using our method, we are able to include individual turbines both on- and offshore. The model is evaluated using various datasets, e.g. production data from Elia (Belgium), floating lidar measurements at Borssele Wind Farm, and anemometer measurements from the FINO-towers. The inclusion of the windfarm parameterisation improves the wind forecast near wind farms, also improving the estimate in power production. In addition, we are able to model the effects of wind farms on the boundary-layer temperature and humidity.

Fitch, A. C., Olson, J. B., Lundquist, J. K., Dudhia, J., Gupta, A. K., Michalakes, J., & Barstad, I. (2012). Local and mesoscale impacts of wind farms as parameterized in a mesoscale NWP model. Monthly Weather Review, 140(9), 3017–3038.

How to cite: Theeuwes, N., van Stratum, B., van Ulft, B., Barkmeijer, J., Basu, S., and Wijnant, I.: Modelling windfarm wakes in operational forecasting model HARMONIE-AROME, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-7692, https://doi.org/10.5194/egusphere-egu21-7692, 2021.

Corresponding presentation materials formerly uploaded have been withdrawn.