Incorporation of floater rotation and displacement in a static wind farm simulator

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Abstract

Thanks to the development of several wake models, recent years have seen a huge development of static wind farm simulators. As new wind farms are planned for deep waters, there is a need to extend these tools to account for the floater rotation and displacement. In this work, we have addressed this task by selecting a reduced set of environmental conditions and generating a database from medium-fidelity simulations, whose computational cost has been reduced by developing a new static solver. Then, we trained neural networks and embedded them in PyWake via a model-agnostic interface. Finally, the wake deflection due to rotor tilt has been modeled by extending a state-of-the-art model. The results indicate that the rotor can move downwind by up to 10% of the diameter and rotate in tilt by 3° at rated wind speed.
Original languageEnglish
Title of host publicationThe Science of Making Torque from Wind (TORQUE 2024): Offshore wind
Number of pages10
PublisherIOP Publishing
Publication date2024
Article number062019
DOIs
Publication statusPublished - 2024
EventThe Science of Making Torque from Wind (TORQUE 2024) - Florence, Italy
Duration: 29 May 202431 May 2024

Conference

ConferenceThe Science of Making Torque from Wind (TORQUE 2024)
Country/TerritoryItaly
CityFlorence
Period29/05/202431/05/2024
SeriesJournal of Physics: Conference Series
Number6
Volume2767
ISSN1742-6588

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