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.
FLORIS
- velocity: jensenwe = 0.1
- deflection: jimenezkd = 0.05
Uses sum-of-squares freestream deficit superposition (sosfs), a nine-point turbine-grid solver, and Crespo-Hernandez wake-added turbulence. Secondary steering, yaw-added recovery, transverse velocities, and active wake mixing are disabled.
Converts the windIO coefficient with kd = beta / 2 because FLORIS uses 1 + 2*kd*x/D where the other implementations use 1 + beta*x/D.
FOXES
- velocity: JensenWakek = 0.1, induction = Betz
- deflection: JimenezDeflectionbeta = 0.1, rotate = false
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.
Uses JimenezDeflection with rotate=False, translating the wake path without rotating the wake cross-section.
PyWake
- velocity: NOJDeficitk = 0.1
- deflection: JimenezWakeDeflectionbeta = 0.1
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 NOJDeficit class rather than PyWake's Jensen_1983 literature preset.