Sessions
Lifetime management : data, damage detection and repair strategies
When: Tuesday, 24 November 2026, 11:45 - 12:30
Session description
This session explores how advanced data analytics, early damage detection and innovative repair techniques can extend wind turbine lifetimes and optimise asset value. From SCADA-based modelling and lidar validation to predictive end-of-life O&M strategies and non-conventional repairs, experts will share practical insights. Discover how operators can shift from reactive maintenance towards proactive, data-driven lifetime management, improving reliability, reducing costs and maximising the performance of ageing wind fleets.
Session chair
Jose Manuel Alonso Huerta
Key Account & Business Development Manager, DEIF A/S
Presentations
Early Damage Detection as a Pathway to Lifetime Extension of Wind Turbine Blade Composite Joints
Raja Sekhar Battu
Post Doctoral Researcher, TU Delft
From SCADA Data to Structural Lifetime: Aeroelastic Model Validation Using Loads and Lidar
Asier Olcoz
Senior Project Engineeer, UL Solutions
Partial Repowering of a <1 MW Wind Turbine Fleet in Spain Using Hybrid Turbine Validation
Alfonso San Emeterio
General Manager, Nabla Wind Hub
