TY - DATA T1 - FLORIDyn (OFF toolbox) Code and input files underlying the publication: Wind pattern clustering of high frequent field measurements for dynamic wind farm flow control PY - 2024/01/24 AU - Marcus Becker AU - Maxime Lejeune UR - DO - 10.4121/dbd831b5-8d6d-4ae2-9860-2d6a7a1be58e.v1 KW - FLORIDyn KW - Wind Farm Flow Control KW - Wake model KW - Engineering wake model KW - dynamic wind farm flow control KW - wind farm simulation N2 -
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
ER -