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OWA Wake Modelling Challenge Scripts

Authors: Sanz Rodrigo, Javier; Gancarski, Pawel; Fernandes Correia, Pedro Miguel;

OWA Wake Modelling Challenge Scripts

Abstract

This repository contains the model evaluation scripts developed in the Offshore Wind Accelerator (OWA) Wake Modelling Challenge. A benchmarking process comprising 5 wind farms allows wake model developers and end-users test their array efficiency prediction methodologies over a wide range of wind climate and wind farm layout conditions. The project is integrated in the Phase 3 of the IEA Task 31 Wakebench international framework for wind farm modeling and evaluation. The dataset can be found here: Sanz Rodrigo, Javier, et al. (2020). OWA Wake Modelling Challenge Dataset (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.3715198 The results of the Challenge are published here: Sanz Rodrigo J, Borbón Guillén F, Fernandes Correia P M, García Hevia B, Schlez W, Schmidt S, Basu S, Li B, Nielsen P, Cathelain M, Dall’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 Acknowledgements: The authors would like to thank Carbon Trust and the OWA Technical Working Group for their support providing funding, operational data and guidance throughout the project. We would like to thank all the benchmark participants for their simulations and in-kind support in fine-tuning the benchmark set-up and evaluation methodology.

Keywords

OWA, wake modelling, array efficiency, mesocale modelling

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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