DATA ACQUISITION FRAMEWORK AND SYSTEM IDENTIFICATION OF AN IN-SERVICE WIND TURBINE

Öztürkoğlu O., Yurtseven V., Taner Y., Özçelik Ö., Günel S.

The 9th International Operational Modal Analysis Conference (IOMAC), Vancouver, Canada, 3 July - 06 December 2022, pp.1-8, (Full Text)

  • Publication Type: Conference Paper / Full Text
  • City: Vancouver
  • Country: Canada
  • Page Numbers: pp.1-8
  • Dokuz Eylül University Affiliated: Yes

Abstract

During recent years, wind energy has become an important renewable energy source, and a more attractive alternative to conventional ways of energy generation due to higher capacity utilization factors and shorter return of investments. Demand for larger wind turbines, which can produce more energy in the short term, is increasing rapidly in the market. To ensure that the turbine continuously generates energy, and stays perfectly operational during its lifespan, there is an increasing need to have a comprehensive understanding of their dynamics from a structural point of view. In this study, a novel distributed data acquisition system is designed and deployed throughout the tower height on a 2.5MW in-service fully operational wind turbine in Izmir/Turkey. Using the collected response data, the dynamic properties of the turbine tower are estimated by using operational modal analysis methods and compared with the modal analysis of the detailed finite element model.