Session: 01-11-02: Wind Energy

Paper Number: 109764

109764 - Real-Time Monitoring of Offshore Wind Turbines by Using Ifem 

Real-Time Monitoring of Offshore Wind Turbines by Using iFEM

Erkan Oterkus¹, Mingyang Li^1,2, Yildirim Dirik¹, Selda Oterkus² and Islam Amin^2,3

1PeriDynamics Research Centre, University of Strathclyde, Glasgow, UK, 

²Ocean College, Jiangsu University of Science and Technology, Zhenjiang, China

³Department of Naval Architecture and Marine Engineering, Port Said University, Port Said, Egypt

There has been a significant interest during the recent years on offshore wind energy to achieve ambitious net zero emission targets. With respect to onshore wind, offshore wind can generate more energy which makes it more attractive. However, offshore wind turbines are located at locations with harsh environmental and marine conditions. For certain times, it may not be even possible to have access to offshore wind turbines. This brings additional challenge for the safety and durability of offshore wind turbines. To minimize these risks, real-time monitoring can be a suitable option to remotely monitor the offshore wind turbines and decisions can be taken if there is a potential for the wind turbine to fail. There are various approaches available for real-time monitoring. Amongst these, inverse Finite Element Method (iFEM) [1-3] can be a suitable approach due to its robustness and being fast so that it can be applicable for real-time monitoring. In this presentation, real-time monitoring of offshore wind turbines by using iFEM will be presented and several numerical examples will be shown to demonstrate the capability of the developed approach.

References

[1] Tessler, A. and Spangler, J.L., 2005. A least-squares variational method for full-field reconstruction of elastic deformations in shear-deformable plates and shells. Computer methods in applied mechanics and engineering, 194(2-5), pp.327-339.

[2] Kefal, A., Oterkus, E., Tessler, A. and Spangler, J.L., 2016. A quadrilateral inverse-shell element with drilling degrees of freedom for shape sensing and structural health monitoring. Engineering science and technology, an international journal, 19(3), pp.1299-1313.

[3] Li, M., Kefal, A., Oterkus, E. and Oterkus, S., 2020. Structural health monitoring of an offshore wind turbine tower using iFEM methodology. Ocean Engineering, 204, p.107291.

Presenting Author: Erkan Oterkus University of Strathclyde

Presenting Author Biography: Prof. Erkan Oterkus is a professor in the department of Naval Architecture, Ocean and Marine Engineering of University of Strathclyde. He is also the director of PeriDynamics Research Centre (PDRC) and the director of Ocean Energy Research Unit (OERU). He received his PhD from University of Arizona, USA and was a researcher at NASA Langley Research Center, USA before joining University of Strathclyde. His research is mainly focused on computational mechanics of materials and structures by using some of the state-of-the-art techniques including peridynamics and inverse finite element method.

Authors:

Erkan Oterkus University of Strathclyde
Mingyang Li Jiangsu University of Science and Technology
Yildirim Dirik University of Strathclyde
Selda Oterkus University of Strathclyde
Islam Amin Port Said University