A wind turbine blade leading edge rain erosion computational framework
Metadata
Show full item recordEditorial
Elsevier
Materia
Rain erosion Wind turbine blade Blade erosion degradation Blade rain erosion Energy production losses
Date
2022-12-14Referencia bibliográfica
Javier Contreras López... [et al.]. A wind turbine blade leading edge rain erosion computational framework, Renewable Energy, Volume 203, 2023, Pages 131-141, ISSN 0960-1481, [https://doi.org/10.1016/j.renene.2022.12.050]
Sponsorship
European Commission 859957; German Federal Ministry of Economic Affairs and Energy (BMWi)Abstract
Blades are one of the most important components, in terms of capital and operational costs, of wind turbines.
The experienced acquired by the industry in the latest decades has shown that leading edge erosion is a problem
of concern that impacts the reliability of the blade and the power production of the turbine, among others. This
study provides a framework to estimate leading edge erosion evolution and energy production degradation
throughout time to apply in operation and maintenance decision making. It is based on the generation of
synthetic wind and rain data based on observations from the site and ERA5 reanalysis data, whirling arm test
data of erosion protection coatings, along with aerodynamic polar curves for clean and eroded airfoils of the
blade. Rain erosion is calculated based on impingement, and assumed to be linearly accumulated using the
Palmgren–Miner rule. Synthetic wind and rain time series are used to evaluate 25-year erosion degradation
and energy production scenarios. A case study using the 5MW NREL’s wind turbine located in the North Sea
has been analysed with the proposed framework showing maximum annual energy production losses in the
range of 1.6–1.75% and first erosion failure between years 2 and 6.