FLORIDyn (OFF toolbox) Code and input files underlying the publication: Wind pattern clustering of high frequent field measurements for dynamic wind farm flow control

doi:10.4121/dbd831b5-8d6d-4ae2-9860-2d6a7a1be58e.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/dbd831b5-8d6d-4ae2-9860-2d6a7a1be58e
Datacite citation style:
Becker, Marcus; Lejeune, Maxime (2024): FLORIDyn (OFF toolbox) Code and input files underlying the publication: Wind pattern clustering of high frequent field measurements for dynamic wind farm flow control. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/dbd831b5-8d6d-4ae2-9860-2d6a7a1be58e.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software

Python implementation of the FLORIDyn code [1] in the OFF toolbox, as well as the input files used for the publication "Wind pattern clustering of high frequent field measurements for dynamic wind farm flow control", M Becker, D Allaerts and JW van Wingerden, in preparation for the TORQUE 2024 conference.

The yaml files contain the baseline orientation (misalignment angle = 0 deg) and optimised angles. The C1 to C5 addition in the name refers to the wind direction change case that is investigated. The optimised angles have beed derived using FLORIS [2] and are given in separate files for convenience.

To run the code FLORIS [2] needs to be installed. In addition the DTU 10MW reference turbine [3] is used in the simulations. The required .yaml is provided with this code and needs to be added to the FLORIS turbine library. Go to 03_Code/main.py and run the selected case.

The farm power of all simulations in FLORIDyn in given in the files FarmPower*.csv

To use them in Matlab, call:

farm_pow = readmatrix("FarmPowerNoYaw.csv");

farm_pow = reshape(farm_pow, 5, length(1:2:359), [] );

Dimension 1 is along the cases, dimension 2 along the wind directions and dimension 3 along time (4:4:2000).

E.g. to plot the power for case C4 starting at 201deg call

plot(4:4:2000, farm_pow(4, (201+1)/2, :))

[1] https://iopscience.iop.org/article/10.1088/1742-6596/2265/3/032103/meta

[2] https://github.com/NREL/floris

[3] https://backend.orbit.dtu.dk/ws/portalfiles/portal/55645274/The_DTU_10MW_Reference_Turbine_Christian_Bak.pdf

history
  • 2024-01-24 first online, published, posted
publisher
4TU.ResearchData
format
.py, .yaml, .csv, .graphml
organizations
TU Delft, Faculty of Mechanical Engineering, Delft Center for Systems and Control

DATA

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/51d3e0a5-61d4-40b7-905d-3a2a9ebc29b0.git

Or download the latest commit as a ZIP.

files (25)