Hybrid Wind
Hybrid wind turbine condition monitoring system for different weather conditions
Hybrid Wind
Hybrid Wind aims to further develop the application range of a robust blade load sensor developed for control purposes with methods of AI-based operational modal analysis for early damage detection. In the international consortium, fatigue tests will be carried out in a climate chamber at Gdansk Tech in Poland so that targeted damage can be realized under changing climate conditions. DLR and Bachmann will initially use the validation data obtained in the fatigue test to develop early damage detection based on load sensor data and apply and validate the developed methodology in the WiValdi research wind farm of DLR in Krummendeich during operation.
Motivation und backround
The energy transition requires an increased expansion of wind energy, while at the same time operating and maintenance costs must be further reduced. At present, wind turbines are predominantly maintained at fixed intervals, which unnecessarily increases the levelized cost of energy (LCoE). In order to optimize this, an innovative early damage detection system based on hybrid methods is to be developed in the ‘Hybrid Wind’ project.
The solution to be developed for the early detection of damage to rotor blades enables predictive and plannable maintenance of mechanically highly stressed components and thus serves to sustainably reduce maintenance costs and increase reliability.
Objective
Development of a hybrid early damage detection system for wind turbines through the following steps:
- Development of AI-based real-time algorithms for modal identification of rotor blades from load sensor data.
- Generation of test data of a rotor blade in fatigue test under varying temperature conditions
- Condition monitoring under varying climate conditions
- Transfer of the methodology to the entire rotor of a wind turbine in the WiValdi research wind farm
Project | Hybrid Wind - Hybrid wind turbine condition monitoring system for different weather conditions |
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Duration | 01/2024 - 09/2027 |
Partner international | Gdańsk University of Technology, Gesamtprojektleitung (PL)WindTak (PL)Rambøll (DK)Danish Technical University (DK)Siemens Digital Industry Software (BE)Katholike Universiteit Leuven (BE)Bachmann Monitoring (DE)Deutsches Zentrum für Luft- und Raumfahrt, Subproject management (DE) |
Type of project | International research project within the framework of CETPartnership |
Funding | Federal Ministry for Economic Affairs and Climate Action (BMWK) over Projektträger Jülich (PtJ) |
