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OWA Wake Modelling Challenge Dataset

<p>This repository collects input and simulation datasets from the Offshore Wind Accelerator (OWA) Wake Modelling Challenge, whose objective is to&nbsp;improve confidence in wake models in the prediction of array efficiency. The data is meant to be used together with the open-source model evaluation scripts available in the following github repository:&nbsp;<a href="https://github.com/CENER-EPR/OWAbench">https://github.com/CENER-EPR/OWAbench</a></p> <p>The results of the challenge are summarized in the following paper:</p> <p>Sanz Rodrigo J, Borb&oacute;n Guill&eacute;n F, Fernandes Correia P M, Garc&iacute;a Hevia B, Schlez W, Schmidt S, Basu S, Li B, Nielsen P, Cathelain M, Dall&rsquo;Ozzo C, Grignon L, Pullinger D (2020) Validation of Meso-Wake Models for Array Efficiency Prediction Using Operational Data from Five Offshore Wind Farms. J. Phys.: Conf. Ser., under review</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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