Low fidelity modeling for the prediction of long-term floating offshore wind turbine performance

Conference item

Floating offshore wind energy has been identified as a critical source of future sustainable energy. This work is part of a broader effort to characterize the performance difference between floating and fixed offshore wind turbines. We characterize the discrepancy between low fidelity blade element momentum theory (BEMT) simulations and higher fidelity methods for floating turbines in the context of prescribed, harmonic platform motion. Five variations of a BEMT solver with varying empirical corrections are compared to fully blade resolved computational fluid dynamics simulations, as well as two experimental studies. BEMT’s ability to predict rotor integrated parameters describing the mean and fluctuating components of power and thrust is analyzed. We then utilize the BEMT method to predict the mean and fluctuating component of rotor thrust and turbine power production under harmonic motion at frequencies of interest. The BEMT method predicts small variations in the mean components, but very large fluctuating components of power and thrust at representative platform natural frequencies. Additionally, power capture is predicted to increase at below rated wind speed and decrease at rated wind speed during motion.

Authors: Hardin, J; Zilic De Arcos, F; Adcock, TAA; Edwards, E

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: American Society of Mechanical Engineers
• Publication date: 2025-08-21
• Acceptance date: 2025-03-01
• Event title: 44th International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2025)
• Event location: Vancouver, BC, Canada
• Event website: https://event.asme.org/OMAE
• Event start date: 2025-06-22
• Event end date: 2025-06-27
• DOI: 10.1115/OMAE2025-157366
• Language: English
• Keywords: performance prediction; floating offshore wind turbine; blade element momentum theory