Articles | Volume 8, issue 3
https://doi.org/10.5194/wes-8-401-2023
https://doi.org/10.5194/wes-8-401-2023
Research article
 | 
24 Mar 2023
Research article |  | 24 Mar 2023

Addressing deep array effects and impacts to wake steering with the cumulative-curl wake model

Christopher J. Bay, Paul Fleming, Bart Doekemeijer, Jennifer King, Matt Churchfield, and Rafael Mudafort

Model code and software

NREL/floris: v3.0 (v3.0) National Renewable Energy Laboratory https://doi.org/10.5281/zenodo.6320841

FLASC, Version 0.1-pr National Renewable Energy Laboratory https://github.com/NREL/flasc

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Short summary
This paper introduces the cumulative-curl wake model that allows for the fast and accurate prediction of wind farm energy production wake interactions. The cumulative-curl model expands several existing wake models to make the simulation of farms more accurate and is implemented in a computationally efficient manner such that it can be used for wind farm layout design and controller development. The model is validated against high-fidelity simulations and data from physical wind farms.
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