FOXES
- velocity: Bastankhah2014k = 0.03, induction = Betz
Uses Betz induction, quadratic wind-speed superposition, grid16 rotor sampling, rotor-point partial wakes, and the rotor_wd wake frame. No separate wake-added turbulence model is configured.
bastankhah2014 — four turbines
velocitySoftware: FOXES, PyWake · Rotor diameter 240 m · Wind speed 9.8 m/s
View the one turbine scenario for this wake model →
Model parameters and implementation notes
The windIO inputs and their software-specific mappings are listed below. Matching literature-model names do not imply identical solver, rotor-averaging, superposition, turbulence, induction, or yaw treatments.
windIO case inputs
- velocity: bastankhah2014k_star = 0.03
PyWake
- velocity: BastankhahGaussianDeficitk = 0.03
Uses PropagateDownwind with squared-sum superposition, GridRotorAvg rotor averaging, effective local wind speed, and ct2a_mom1d induction. No separate wake-added turbulence model is configured.
Uses the lower-level BastankhahGaussianDeficit class rather than PyWake's Bastankhah_PorteAgel_2014 literature preset.
Layout & sample locations
Turbine positions (bold, rotated by yaw angle where applicable) and the cross-section sample planes (dashed) used by the plots below.
Streamwise velocity
Cross-sections
Horizontal contour
X-Y plane at hub height.
Vertical contour
X-Z plane at Y=0 (lateral centerline).
Cross-section contour
Y-Z plane at X=20D.
Comparison metrics
Pairwise error between software for each plotted quantity. Click a column to sort.
| Software pair | Target | RMSE (m/s) | Max abs error (m/s) | Mean abs error (m/s) | NRMSE |
|---|