The revised FLORIDyn model: implementation  of heterogeneous flow and the Gaussian wake

Becker, Marcus; Ritter, Bastian; Doekemeijer, Bart; van der Hoek, Daan; Konigorski, Ulrich; Allaerts, Dries; van Wingerden, Jan-Willem

doi:https://doi.org/10.5194/wes-7-2163-2022

Articles | Volume 7, issue 6

https://doi.org/10.5194/wes-7-2163-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-7-2163-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 7, issue 6

Research article

|

01 Nov 2022

Research article |

| 01 Nov 2022

The revised FLORIDyn model: implementation of heterogeneous flow and the Gaussian wake

Marcus Becker, Bastian Ritter, Bart Doekemeijer, Daan van der Hoek, Ulrich Konigorski, Dries Allaerts, and Jan-Willem van Wingerden

Data sets

SOWFA simulation setup belonging to the paper: The revised FLORIDyn model: Implementation of heterogeneous flow and the Gaussian wake M. Becker https://data.4tu.nl/articles/dataset/SOWFA_simulation_setup_belonging_to_the_paper_The_revised_FLORIDyn_model_Implementation_of_heterogeneous_flow_and_the_Gaussian_wake/20026406

Model code and software

Gaussian FLORIDyn, Matlab implementation belonging to the paper: The revised FLORIDyn model: Implementation of heterogeneous flow and the Gaussian wake M. Becker https://data.4tu.nl/articles/software/Gaussian_FLORIDyn_Matlab_implementation_belonging_to_the_paper_The_revised_FLORIDyn_model_Implementation_of_heterogeneous_flow_and_the_Gaussian_wake/19867846

dcsale/SOWFA: v1 (Version v1) D. Sale, M. Churchfield, and P. Bachant https://doi.org/10.5281/zenodo.3632051

Simulator for offshore wind farm applications National Renewable Energy Laboratory https://github.com/dcsale/SOWFA

TUDelft-DataDrivenControl/FLORISSE_M: Stable version from 2018-2019 (v0.2) B. Doekemeijer, R. Storm, J. Schreiber, and D. van der Hoek https://doi.org/10.5281/zenodo.4458669

Short summary

In this paper we present a revised dynamic control-oriented wind farm model. The model can simulate turbine wake behaviour in heterogeneous and changing wind conditions at a very low computational cost. It utilizes a three-dimensional turbine wake model which also allows capturing vertical wind speed differences. The model could be used to maximise the power generation of with farms, even during events like a wind direction change. It is publicly available and open for further development.