Articles | Volume 8, issue 7
https://doi.org/10.5194/wes-8-1201-2023
https://doi.org/10.5194/wes-8-1201-2023
Research article
 | 
20 Jul 2023
Research article |  | 20 Jul 2023

A data-driven reduced-order model for rotor optimization

Nicholas Peters, Christopher Silva, and John Ekaterinaris

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Latest update: 13 Dec 2024
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Short summary
Wind turbines have increasingly been leveraged as a viable approach for obtaining renewable energy. As such, it is essential that engineers have a high-fidelity, low-cost approach to modeling rotor load distributions. In this study, such an approach is proposed. This modeling approach was shown to make high-fidelity predictions at a low computational cost for rotor distributed-pressure loads as rotor geometry varied, allowing for an optimization of the rotor to be completed.
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