Operational modal analysis applied to floating offshore wind turbine dynamics identification in wave basins in the presence of free-surface modes
Year: 2025
Type: article
Abstract: This paper presents the modal characteristics of a 10 MW floating offshore wind turbine (FOWT) model, scaled to full size. We utilise both traditional and advanced algorithms, including logarithmic decrement, stochastic subspace identification covariance and data-driven methods, to analyse the system's operational behaviour under free decay and irregular wave conditions. This study explores the full damping matrix and the influence of coupled degrees of freedom. Under irregular wave conditions, a 30% deviation in the surge resonance frequency is identified, which is linked to the wave period's near-heave resonance and a fluid free-surface mode of the fluid inside the wave tank. The use of stability diagrams facilitates the identification of these modes from the FOWT's response. Furthermore, this paper examines the evolution of damping and operational deflection shapes across different sea states . The models synthesised from modal estimations of wave tests are validated using autocorrelation functions, which confirm that the employed methods effectively captured the FOWT's rigid-body dynamics, even in extreme conditions where the FOWT and fluid act as a coupled system. The study emphasises that free-surface modes have the potential to introduce additional energy, which could be a significant contributor to the underestimation of low-frequency responses in numerical hydrodynamic models .
Source: Ocean Engineering
Institutions: University of the Basque Country, Universidade de Vigo
Language: English
Topic: Wave and Wind Energy Systems
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,150
Funders: Ministerio de Ciencia, Innovación y Universidades, Eusko Jaurlaritza, Ministerio de Ciencia e Innovación, Consellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia, Xunta de Galicia, European Regional Development Fund, Agencia Estatal de Investigación, European Social Fund
OpenAlex ID: W4408723551
