This calculator estimates how much power a downstream wind turbine may lose when it sits in the wake of a single upstream turbine. It uses the classic Jensen (PARK) top-hat wake model to predict the wake wind speed at a downstream distance (given in rotor diameters), then converts that wind-speed deficit into a power-loss estimate using the standard turbine power equation.
Use it for early-stage layout trade-offs (e.g., “What happens if spacing changes from 6D to 8D?”) and for building intuition about how CT and spacing affect wake losses.
The Jensen model assumes a linearly expanding wake with a uniform (“top-hat”) velocity deficit across the wake cross-section. Wake radius grows with downstream distance:
Wake radius: Rw = R + kx, where R = D/2 and k is the wake expansion constant.
Using axial induction a (actuator disk concept), thrust coefficient is related by:
Thrust relation: CT = 4a(1 − a)
The Jensen centerline (and top-hat) wake wind speed at distance x is often written as:
Finally, turbine power (ignoring cut-in/cut-out, rated power limits, and control region changes) is modeled as:
Baseline power: P = ½ ρ A U³ CP
Waked power: Pw = ½ ρ A Uw³ CP
So the power ratio is simply Pw/P = (Uw/U)³.
Suppose:
First compute induction factor a from CT = 4a(1−a). For CT=0.8, a common solution is a ≈ 0.276 (the physically relevant root in normal operating conditions). With a wake expansion constant k (commonly around 0.075 onshore or 0.04 offshore; many simple calculators pick a fixed default), you can compute Uw using the Jensen equation. Then compute baseline power and waked power using the same CP. The reported loss is typically substantial because the cube-law amplifies even moderate speed deficits.
| Parameter | Typical range (rule-of-thumb) | Why it matters |
|---|---|---|
| Spacing (D) | 5–10D (project dependent) | More spacing usually reduces wake losses but increases cabling/land/lease needs. |
| CT | ~0.6–0.9 | Higher CT generally means stronger wakes (larger deficits). |
| CP | ~0.35–0.50 | Scales absolute power; percent loss is dominated by the speed ratio cubed. |
| Wake expansion k | ~0.04 offshore, ~0.075 onshore | Controls wake recovery rate; larger k → faster wake spreading → smaller deficits. |
If you need bankable energy estimates, directional/sector analysis, turbulence impacts, yaw/veer, or multi-row farm performance, consider more advanced engineering wake models (e.g., Gaussian/Bastankhah-type) or validated farm tools that support wake superposition and calibration to site measurements.
Stagger your downstream turbines to dodge wake shadows. Drag or tap to slide the towers and keep farm output above the contract demand as wind direction drifts.