pyforwind 0.1.2

Synthetic IEC-conform wind fields with extended turbulence characteristics

An open-source package to generate synthetic IEC-conform wind fields with extended turbulence characteristics.

Installation

The pyforwind package is available on pypi and can be installed using pip

pip install pyforwind

How to use this package

Generate superstatistical Kaimal wind field

To use pyforwind to generate a Kaimal wind field u_kaimal and its superstatistical (i.e., non-Gaussian) extension u_super_kaimal, import the SFW with the model parameters: integral length scale L, intermittency coefficient mu, horizontal wind speed at rotor hub V_hub, hub height h_hub, time length and diameter (T, diam), resolution (N_T, N_rotor), and the wind field type kind.

from pyforwind import SFW

swf_kaimal = SWF(L, mu, V_hub, h_hub, (T, diam), (N_T, N_rotor), kind='gauss')
swf_super_kaimal = SWF(L, mu, V_hub, h_hub, (T, diam), (N_T, N_rotor), kind='spatiotemporal')
u_kaimal = swf_kaimal.field(seed)
u_super_kaimal = swf_super_kaimal.field(seed)

References

Friedrich, J., Moreno, D., Sinhuber, M., Wächter, M., & Peinke, J. (2022). Superstatistical wind fields from pointwise atmospheric turbulence measurements. PRX Energy, 1(2), 023006.

Acknowledgments

This project is funded by the European Union Horizon Europe Framework program (HORIZON-CL5-2021-D3-03-04) under grant agreement no. 101084205, and by the German Federal Ministry for Economic Affairs and Energy in the scope of the projects EMUwind (03EE2031A/C) and PASTA (03EE2024A/B).