Detection, Prognosis and Decision Support Tool for Offshore Wind Turbine Structures

• Published in: Wind Vol. 2; no. 4; pp. 747 - 765
• Main Authors: Vásquez, Sandra, Verhelst, Joachim, Brijder, Robert, Ompusunggu, Agusmian Partogi
• Format: Journal Article
• Language: English
• Published: MDPI AG 01-12-2022
• Subjects: corrosion; fault detection and prognosis; offshore wind turbine
• ISSN: 2674-032X; 2674-032X
• DOI: 10.3390/wind2040039

Corrosion is the leading cause of failure for Offshore Wind Turbine (OWT) structures and it is characterized by a low probability of detection. With focus on uniform corrosion, we propose a corrosion detection and prognosis system coupled with a Decision Support Tool (DST) and a Graphical User Interface (GUI). By considering wall thickness measurements at different critical points along the wind turbine tower, the proposed corrosion detection and prognosis system—based on Kalman filtering, empirical corrosion models and reliability theory—estimates the Remaining Useful Life of the structure with regard to uniform corrosion. The DST provides a systematic approach for evaluating the results of the prognosis module together with economical information, to assess the different possible actions and their optimal timing. Focus is placed on the optimization of the decommissioning time of OWTs. The case of decommissioning is relevant as corrosion—especially in the splash zone of the tower—makes maintenance difficult and very costly, and corrosion inevitably leads to the end of life of the OWT structure. The proposed algorithms are illustrated with examples. The custom GUI facilitates the interpretation of results of the prognosis module and the economical optimization, and the interaction with the user for setting the different parameters and costs involved.