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Research within wind energy

Research in Wind Energy at the Faculty of Engineering focuses on sustainability of wind energy, reducing of production costs and errors by automation, de-risking of turbine design by improved aeroelastic modelling of loads, health monitoring on turbines for lifetime assessment and predictive maintenance, and solving the energy storage challenge by utilization of wind energy for water electrolysis and general Power-to-X purposes.

Research areas

Among others, our wind energy research areas encompass of the following topics.

Sustainable wind turbine blades

We work on solving the technical, economic, and logistical challenges that enable sustainability of wind turbine blades. Through the IEA Wind Task 45, we also seek to develop supporting policy, mitigate negative environmental impacts, and address the social acceptance and perception of wind energy waste across countries. Contact Lykke Margot Ricard: lmri@iti.sdu.dk.

Enhance sustainability within wind energy sector

Our research covers all aspects of sustainability within wind energy sector, from manufacturing to end of life management of turbines including decommissioned blades. The goal is to include sustainability aspects into consideration to design/redesign stage, choice of materials, integration of wind power systems with wave systems, modular platforms, etc. Contact Benyamin Khoshnevisan: bekh@igt.sdu.dk.

Automation in production

Our research focuses on using anomaly detection neural networks to ensure quality in composite material layup for wind turbine blades, detecting defects like folds or misplacements. This approach reduces the need for large annotated datasets, enabling scalable, efficient inspection in complex manufacturing processes. Contact Jakob Wilm: jaw@mmmi.sdu.dk.

Wind turbine dynamics and loads

The continuous upscaling of wind turbine blades and introduction of new technologies in their structure have increased the risk of failures due to vibrational loads. We seek to minimize this risk by improved aero-servo-elastic modelling and analysis of wind turbine dynamics and loads. Contact Morten Hartvig Hansen: mortenhhansen@sdu.dk.

Dynamics and monitoring of wind energy systems

We focus on physics-informed system identification and vibration-based SHM and CM. Our approach combines physics-based learning with hybrid modelling to create baseline models tracking structural response characteristics for lifetime assessment. Contact email: ldav@sdu.dk.

Efficient water electrolysis of wind energy

Water electrolysis is a cornerstone of future storage of wind energy. We seek to increase its efficiency by closer integration of its power electronics with generation of wind energy. A 50 kW alkaline electrolyzer lab is established to conduct research related to optimal storage of wind energy in hydrogen. Contact Thomas Ebel: ebel@sdu.dk.

Dynamics of Power-to-X systems with wind energy

Power-to-X (PtX) systems are crucial for converting electricity into various forms of energy. We aim to improve the economy of PtX systems using innovative business models that uses artificial intelligence to improve decision-making in complex PtX systems. Contact Ali Khosravi: alkh@sdu.dk.

Faculty of Engineering University of Southern Denmark

  • Campusvej 55
  • Odense M - 5230

Last Updated 22.09.2025