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jensen — four turbines

velocitySoftware: FLORIS, 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

FLORIS

  • velocity: jensenwe = 0.1

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.

FOXES

  • velocity: JensenWakek = 0.1, 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.

PyWake

  • velocity: NOJDeficitk = 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.

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 pairTargetRMSE (m/s)Max abs error (m/s)Mean abs error (m/s)NRMSE