Key Note - Climate Change: Causes and Consequences

• Increasing CO2 concentrations and temperatures
• Melting ice
• Rising sea level
• Changing wind patterns
• More requent extreme weather

Prof. em. Dr. Peter Lemke, Senior Advisor at Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, Bremerhaven

Seismic Monitoring for Offshore Wind Turbines – Bridging Design and Reality

• Real-time vibration and seismic data acquisition
• Bridging design assumptions with operational reality
• Insights from project implementation
• Enhancing structural safety and performance
• Connecting data, design and operations

Dr. Moritz Häckell, Senior Chief Consultant, Ramboll Deutschland GmbH, Hamburg
Co-Author: Dr. Jannis Tautz-Weinert, Chief Consultant, Ramboll Deutschland GmbH

Challenges in Large Wind Turbine Instability Modeling Associated with Stall Induced Vibrations

• Challenges in modeling aerodynamic instabilities of large wind turbines
• Different instability regimes identified under varying wind conditions
• Modeling confidence assessed using field measurements and validated simulations with unsteady aerodynamic models

Dr. Galih Bangga, Wind Turbine Aerodynamics Specialist, DNV, Bristol

Vibration Reduction in Slender Support Structures through Laterally Moving Fluid

• Fluid Dynamic Vibration Absorber
• Wind Turbine Tower Oscillations
• Structural Vibration Control

Prof. Peter F. Pelz, Professor at TU Darmstadt, Chair of Fluid Systems 
Co-Author: Dr.-Ing. Maximilian M.G. Kuhr, TU Darmstadt, Chair of Fluid Systems Ingo Dietrich, Industrial Science GmbH, Darmstadt

Key Note - From Data to Decisions: Hybrid Monitoring and Vibration-Driven Life-Cycle Management of Wind Turbine Structures

• Integrating physics-based modelling, operational data, and vibration monitoring for advanced structural health assessment of wind-turbine systems.
• Leveraging graph-based and physics-enhanced machine learning to enable digital twins, condition-based maintenance, and informed lifetime-extension strategies.
• Decision-support for O&M: frameworks for reasoning under uncertainty and linking vibration/health indicators to performance, reliability, and life-cycle cost optimization at both turbine and farm scale.

Prof. Dr. Eleni Chatzi, Chair of Structural Mechanics & Monitoring at ETH Zürich and President of the European Academy of Wind Energy

Damage Detection and Life Time Monitoring of Blade Bearing of Wind Turbine during Operation up to Digital Twin of Pitch System

• Excitation and Acoustics of Electromechanical Systems
• Acoustic Measurements and Diagnosis of Electromechanical Systems
• Damage Patterns and Diagnosis of Rotor Blade Bearings in Wind Turbines
• Possibilities of a SCADA-Data-Based Digital Twin of the Pitch System and Blade Bearing

Dr. Samer Mtauweg, Managing Director, Engineering office Dr. Samer Mtauweg, Bremerhaven

Fleetwide Load Monitoring Using Artificial and Bayesian Neural Networks

• Farm-wide prediction of damage-equivalent moments using SCADA and accelerometer data-
• Comparison of ANN and Bayesian ANN models for DEM estimation
• Validation against measured loads over short- and long-term periods
• Insights for RUL assessment and cost-effective lifetime extension

Nymfa Noppe, Lead Data Analysis Team, 24SEA, Brussel Co-Author: Francisco De Nolasco Santos

Recommendations for a Standard Approach to Installing Structural Health Monitoring on Fixed Foundation Assets

• Where should the SHM contract sit within the project?
• Where should SHM installation be performed?
• How did we deploy the SHM system on Moray West and what were the challenges we faced?
• Next step opportunities for projects and suppliers in terms of the benefits of standardisation.

Calum Macleod, Operations Readiness Engineer, Ocean Winds UK Limited, Edinburgh 
Co-Authors: CEng/MBA, Jamie, Dempster, Ocean Winds UK Limited, Senior Operations Readiness Manager, Edinburgh; Dr. rer. nat. Raphael Crespo Vidal, Project Manager for Structural Health Monitoring, Wölfel Engineering GmbH + Co. KG, Würzburg

Key Note – To live, to die or to be born again? End-of-life considerations for Offshore Wind Farms

• From 20 to 35 or even more years – Challenges and expectations
• DNV´s OWLIFE JIP - Offshore Windfarm Life Management and Lifetime Extension
• Interaction of turbine and support structures
• Future outlook – will it be easier with modern wind turbines?

Marcus Klose, Head of Section Offshore Technology and Innovation at DNV Renewables Certification GmbH, Hamburg

Data-Driven Fatigue Lifetime Assessment of Offshore Wind Turbines: Extrapolation from Short-Term Strain Monitoring

• Data-driven fatigue assessment for offshore wind turbines
• Machine learning models for temporal extrapolation
• Comparison with traditional binning-based approaches
• Validation with five years of Belgian North Sea data

Christof Devriendt, Professor at Vrije Universiteit Brussel / OWI-lab / 24SEA, Brussel 
Co-Author: Wout Weijtjens, Senior Services Engineer, 24SEA, Brussel

Bridging SHM and Design: Ritz Vector-Based Load Reconstruction within the Agile Design Framework

• Virtual Sensing
• Load Reconstruction
• Fatigue Assessment
• Lifetime Assessment

Dr. Stefan Wernitz, Head of Data Analytics - Tower and Foundation, Wölfel Wind Systems GmbH + Co. KG, Leipzig

SHM-Based Load Reconstruction for Wind Turbine Lifetime Assessment and End-of-Life Decisions

• Lifetime Assessment
• Structural Health Monitoring
• Load Reconstruction
• Virtual Sensing

Mirjana Ratkovac-Katzur, Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin 
Co-Authors: Lukas Eichner, Bundesanstalt für Materialforschung und -prüfung, Matthias Baeßler, Bundesanstalt für Materialforschung und -prüfung

Reducing lifetime assessment uncertainties with calibrated models and realistic environmental conditions

• LTE standards define methods to assess wind turbine remaining useful life via aeroelastic simulations, requiring uncertainty quantification from environment and modeling
• A model calibration process was developped using SCADA and vibration data.
• Improved wind modeling fidelity in aeroelastic simulations, including full turbulence distribution and wake effects, yields more realistic fatigue and increased lifetimes.

Dr. Vincent Le Corre, Green WITS, Solaize Co-Author: Dr.Fabien Caleyron, CTO, GreenWITS, Solaize

Key Note - A wind turbine manufacturer’s market perspective on noise & tonality

Fabian Martens, Specialist Noise & Tonality, Vestas Deutschland GmbH

Enhanced Reliability and Cost Reduction in Wind Turbine Operations through AI-Based Acoustic Diagnostics

• AI-based detection of early mechanical anomalies in wind turbines using acoustic data
• Real-time monitoring and predictive diagnostics without extra sensors
• Data-driven training from normal and faulty sound patterns
• Enables early fault detection, reducing downtime and repair costs

Dr. Lars Osterbrink, CTO, LATODA, Hamburg 
Co-Author: Marko Cerina, Team Lead Prognostics & Developments, Nordex Energy SE & Co.KG Diagnostics & Prognostics – Global Service Engineering, Hamburg

Experimentally identifying vibroacoustic transfer functions of a wind turbine to solve tonality problems

• Vibroacoustics
• Transfer functions
• Tonalities

Kilian Schulze-Forster, Development Engineer, Wölfel Wind Systems GmbH + Co. KG, Höchberg 
Co-Authors: Dr. Robert Jirasek, Wölfel Wind Systems GmbH + Co. KG, Development Engineer; Dr. Philipp Zech, Wölfel Wind Systems GmbH + Co. KG, Head of Development Vibration Control Solutions

Continuous Acoustic Monitoring to detect Partial Discharges

• Validation of the method and insights from field experience
• Introduction to partial discharges and the challenges faced by windfarm operators
• Methods to measure partial discharge activity
• Highlighting how continuous acoustic measurements improve reliability and reduce safety hazards
• Validation of the method and insights from field experience

Jael Masury, Project Manager, OMEXOM Renewable Energies Offshore GmbH, Oldenburg