Leveraging Physics & Data for Advanced Modelling and Monitoring of Wind Energy Infrastructure

Synopsis

Wind energy infrastructure operates under complex and highly variable environmental and operational conditions. Ensuring its reliability and sustainability calls for a new generation of digital tools that tightly integrate physics-based models with data-driven intelligence. This talk will present advances from ETH Zurich’s Structural Mechanics and Monitoring group on hybrid and physics-enhanced modelling strategies for the structural monitoring and optimal operation and maintenance of wind turbines and farms. The speakers will illustrate how recent developments in physics-informed neural networks, graph-based digital twins, and reinforcement learning can be leveraged to bridge the gap between simulation and reality, thereby enhancing asset-level and farm-level decision making. 

About the Speakers

Eleni Chatzi

Prof. Dr. Eleni Chatzi is Chair of Structural Mechanics and Monitoring at ETH Zürich and President of the European Academy of Wind Energy. Her research lies at the intersection of structural dynamics, digital twinning, and physics-informed machine learning for infrastructure systems.

Gregory Duthé

Dr. Gregory Duthé is a postdoctoral researcher at ETH Zürich, and a member of the SNSF project MISTERY, focusing on digital twin frameworks for wind farms, integrating hybrid models and data analytics to enhance operational resilience and optimization.

Lidiya Kalathiparambil-Kennedy

Dr. Lidiya Kalathiparambil-Kennedy is a doctoral researcher at ETH Zürich, and a member of the Doctoral Network program IntelliWind, working on graph-based reinforcement learning for adaptive wind farm control.

Konstantinos Vlachas

Dr. Konstantinos Vlachas is a senior researcher at ETH Zürich, and a member of the HORIZON RIA action TURING, specializing in physics-enhanced machine learning and reduced-order modeling for dynamical systems, with a focus on turbulence and structural response prediction.

Registration

The event is open to all and is free to attend. Please join the meeting via Teams* by clicking on this link. No registration is required.

Further information

This online talk is organised by SECED Young Members. For further information, please contact Mohamed Elzeadani (This email address is being protected from spambots. You need JavaScript enabled to view it.).

* Microsoft Teams is freely available on all major platforms, including Windows, Linux, MacOS, Android and iOS. To download and install the software, follow this link. SECED is not sponsored by or otherwise affiliated with Microsoft, and we do not endorse any Microsoft products. 

Event Details