Wind turbine blade root and blade bearing fatigue damage estimation based on field data
摘要
This study investigates the relationship between inflow properties of offshore wind turbines and fatigue damage accumulation in key machine components, specifically focusing on blade root and blade bearing fatigue. It showcases how LiDAR measurements can be used with a simulation model to provide fatigue damage estimations for a deployed turbine based on field data. By updating standardized wind field models with LiDAR measurements, the sensitivity of fatigue damage accumulation to variations in turbulence intensity and wind shear profiles is analyzed, and potential under- or over-predictions of fatigue damages are discussed. This approach offers valuable insights into more accurate lifetime predictions for turbine components and explores the possible benefits of LiDAR measurements and digital twin frameworks for fatigue damage estimation.