Spatio-temporal behavior of the far-wake of a wind turbine model subjected to harmonic motions: Phase averaging applied to Stereo-PIV measurements - dataset

Dataset of the figures present in the article entitled: Spatio-temporal behavior of the far-wake of a wind turbine model subjected to harmonic motions: Phase averaging applied to Stereo-PIV measurements. DOI: 10.5194/wes-2024-95

figure2.csv presents the data for the figure 2 (columns: z, Uinf, Iu, Iv, Iw)

surge-0.11.pickle, heave-0.09.pickle, pitch-0.14.pickle, pitch-0.28.pickle present the data for the figures 9, 10, 11, 12. Their structure is: 

Uhub, the velocity at hub height

yz, the y and z coordinates

Uabl, the velocity field of the inflow

Pabl, the available power of the inflow

phase, the phase-averaged results, with:

Dt, the phases

motion, the coordinates of the motion (Tx, Tz, Ry)

Du, the velocity deficit field in FFoR

Du_m, the velocity deficit field in MFoR

wkc, the wake centre coordinates

Swk, the wake surface

P, the available power in FFoR

Pm, the available power in MFoR

var, the standard deviation of the phase-averaged results, with:

wkc

Swk

P

Pm

And fixed.pickle present the time-averaged data of the fixed case for the figures 9, 10, 11, 12, with:

Uhub, the velocity at hub height

yz, the y and z coordinates

Uabl, the velocity field of the inflow

Pabl, the available power of the inflow

wkc, the wake centre coordinates

Swk, the wake surface

P, the available power in FFoR

Pm, the available power in MFoR

More details are available in the article, Sect. 2.3.

See the website https://docs.python.org/3/library/pickle.html for details about the library pickle, and to load the files.