A wind turbine blade leading edge rain erosion computational framework Contreras López, Javier Chiachío Ruano, Manuel Rain erosion Wind turbine blade Blade erosion degradation Blade rain erosion Energy production losses 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. 2023-02-07T13:16:58Z 2023-02-07T13:16:58Z 2022-12-14 info:eu-repo/semantics/article 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] https://hdl.handle.net/10481/79748 10.1016/j.renene.2022.12.050 eng info:eu-repo/grantAgreement/EC/H2020/859957 http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional Elsevier