Preprints
https://doi.org/10.5194/wes-2026-30
https://doi.org/10.5194/wes-2026-30
05 Feb 2026
 | 05 Feb 2026
Status: this preprint is currently under review for the journal WES.

Methodology for the analysis of the effect of precipitation on wind farm performance

Maria Aparicio-Sanchez, Irene Eguinoa, Elena Cantero-Nouqueret, and Alvaro Olcoz-Alonso

Abstract. Wind turbines are exposed to rainfall, which has a long-term impact through erosion, and numerous studies have investigated the consequences of leading-edge erosion (LEE) on wind turbine blades. However, the potential effects of precipitation on turbine performance and on the experimental evolution of wakes have not yet been thoroughly analyzed. This paper presents a new methodology to study the impact of precipitation using experimental operational data. The methodology includes the necessary data processing, the definition of relevant meteorological parameters, and appropriate analysis methods. A commercial wind farm is evaluated following the proposed methodology, identifying differences in behavior between dry and rainy conditions at both the individual turbine level and the wind farm and wake levels, while accounting for the quantity and distribution of the available data.

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Maria Aparicio-Sanchez, Irene Eguinoa, Elena Cantero-Nouqueret, and Alvaro Olcoz-Alonso

Status: open (until 05 Mar 2026)

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Maria Aparicio-Sanchez, Irene Eguinoa, Elena Cantero-Nouqueret, and Alvaro Olcoz-Alonso
Maria Aparicio-Sanchez, Irene Eguinoa, Elena Cantero-Nouqueret, and Alvaro Olcoz-Alonso
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Short summary
This study proposes a methodology to assess the impact of rainfall on wind turbine and wind farm performance using operational data. Unlike prior work focused on long-term leading-edge erosion, it analyzes how precipitation directly affects turbine behavior, wakes, and energy production. Applied to a commercial wind farm, the method identifies differences between dry and rainy conditions and explores simulation adaptations to improve performance estimates.
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