Precipitation Conditions in Offshore Wind Farm Zones

Insights from Satellites and Weather Simulations

Journal Article (2025)
Author(s)

Tsvetelina Ivanova (von Karman Institute for Fluid Dynamics, Vrije Universiteit Brussel)

Alexandros Palatos-Plexidas (von Karman Institute for Fluid Dynamics, Vrije Universiteit Brussel)

Sara Porchetta (TU Delft - Civil Engineering & Geosciences)

Sophia Buckingham (Laborelec)

Jeroen Van Beeck (von Karman Institute for Fluid Dynamics)

Lesley De Cruz (Royal Meteorological Institute of Belgium, Vrije Universiteit Brussel)

Jan Helsen (Vrije Universiteit Brussel)

Wim Munters (von Karman Institute for Fluid Dynamics)

Research Group
Atmospheric Remote Sensing
DOI related publication
https://doi.org/10.1088/1742-6596/3131/1/012005 Final published version
More Info
expand_more
Publication Year
2025
Language
English
Research Group
Atmospheric Remote Sensing
Journal title
Journal of Physics: Conference Series
Issue number
1
Volume number
3131
Article number
012005
Event
EERA DeepWind Conference 2025 (2025-01-15 - 2025-01-17), Trondheim, Norway
Downloads counter
48
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Characterizing wind and precipitation conditions is essential for the durability and maintenance of wind turbine components. Precipitation-driven leading edge erosion of turbine blades has emerged as a significant concern, as it compromises aerodynamic performance and shortens blade lifespan. This study investigates wind and precipitation patterns across a large region of Europe, with a particular focus on the Southern Bight of the North Sea. Using ten years of ERA5 atmospheric reanalysis data, we analyze wind and precipitation conditions, and derive an erosion risk map based on the combined effects of precipitation and blade tip speed. To capture local-scale variability, we employ high-resolution WRF simulations over a three-year period to downscale ERA5 data for the Southern Bight region. These simulations are used to generate detailed seasonal maps of wind speed, precipitation, and erosion risk on a 3 km grid. Additionally, we compare precipitation estimates from ERA5, as well as from NASA's IMERG satellite product, NORA3 hindcast archive, and from the WRF model output against three Belgian weather stations. We emphasize the added value of high-resolution modeling in capturing precipitation heterogeneity that influences blade erosion rates. Integrating both large-scale and regional weather data supports site screening in early-stage wind farm planning, material selection in blade coatings, and maintenance prioritization, especially offshore, thus contributing to the cost-effectiveness of wind energy projects.