Wind Power Density
Calculate wind power density (W/m²) from average wind speed, air density, and Weibull shape factor. Includes NREL wind class and sample turbine output estimates.
About this calculator
Wind power density measures how much kinetic energy is passing through each square meter of a wind stream, and it's dominated entirely by wind speed cubed: the base formula is P = 0.5 × ρ × v³, meaning doubling wind speed multiplies available power by eight, not two — the single biggest reason wind-site selection is so sensitive to small differences in average speed. This calculator computes that instantaneous figure directly from your average wind speed and air density, but wind never actually blows at one constant speed — real sites have a distribution of speeds around that average, described by a Weibull distribution shaped by the parameter k (k=2, the Rayleigh distribution, is the typical default for most locations). Because power scales with the cube of speed, gusty/variable sites with the same average speed as steady ones actually carry more average power — captured here by a correction factor Γ(1+3/k) / Γ(1+1/k)³, computed via a Lanczos approximation of the gamma function.
That correction is multiplied into the average power density figure, which then gets mapped to NREL's standard 7-tier wind resource classification (Class 1 "Poor" up to Class 7 "Superb," based on published W/m² thresholds), and used to estimate annual energy density by multiplying by the 8,760 hours in a year. The sample turbine output assumes a small 3-meter-diameter rotor (about 7.07 m² of swept area) at 35% real-world efficiency — well below the 59.3% theoretical Betz limit that no real turbine can exceed, since some kinetic energy must remain in the wind downstream for it to keep flowing through the rotor at all.
Inputs
Results
Avg Power Density
401.2 W/m²
Wind Resource Quality
Good
How to Use This Calculator
- Enter Average Wind Speed (m/s or mph) from anemometer data or NOAA wind resource maps.
- Set Air Density (kg/m³) — standard is 1.225 at sea level; use lower values at altitude or high temperature.
- Enter the Weibull shape factor (k) — typically 2 for most wind regimes.
- Review Avg Power Density (W/m²) and NREL Wind Class (1–7) to assess site wind resource quality.
- Use Annual Energy Density and Sample Turbine Power to estimate potential electricity generation for a small wind project.
How the result changes with Average Wind Speed
| Average Wind Speed | Avg Power Density | Wind Resource Quality |
|---|---|---|
| 3.5 | 50.2 W/m² | Poor |
| 5.25 | 169.3 W/m² | Poor |
| 11 | 1,557 W/m² | Superb |
| 18 | 6,822.2 W/m² | Superb |
What each input means
- Average Wind Speed
- Mean wind speed at hub height in meters per second. Typical hub heights are 30-100m. Good wind sites average 6-9 m/s.
- Air Density
- Air density in kg/m³. Standard sea-level density is 1.225. Decreases with altitude (~1.1 at 1000m, ~1.0 at 2000m).
- Weibull Shape Factor (k)
- Weibull distribution shape parameter describing wind speed variability. k=2 (Rayleigh) is typical. Higher k means more consistent winds.
How this is calculated
Worked example, using the default values
- Identify Input ParametersAverage Wind Speed = 7, Air Density = 1.225, Weibull Shape Factor (k) = 2 = 3 input(s) provided
- Calculate Avg Power DensityAvg Power Density401.24 = 401.24
- Calculate Wind Resource QualityWind Resource QualityGood = Good
- Calculate Instant Power DensityInstant Power Density210.09 = 210.09
- Calculate NREL Wind ClassNREL Wind Class4 = 4
Engine last updated . Checked against 1 independently-derived test — how we verify calculators. Built by Paul Gunder, a software engineer, not a licensed financial, medical, or legal professional.
Frequently Asked Questions
Why does doubling the wind speed increase power density by eight times instead of two?
The core formula is P = 0.5 × air density × wind speed cubed, so power scales with the cube of speed rather than linearly. Doubling wind speed means multiplying the speed term by 2³ = 8, which is why even modest differences in a site's average wind speed translate into large differences in energy potential.
What is the Weibull correction actually adjusting for?
Real wind sites don't blow at one constant speed — they follow a distribution of speeds around the average, shaped by the Weibull parameter k. Because power scales with the cube of speed, a gustier site with the same average speed as a steady one actually carries more total power, and the correction factor (computed here via a Lanczos approximation of the gamma function) captures that extra energy that a simple average-speed calculation would miss.
Why is the sample turbine's efficiency set to 35% instead of the Betz limit of 59.3%?
The Betz limit is the theoretical maximum any turbine could ever extract from moving air, but no real turbine reaches it — some kinetic energy has to remain in the wind downstream of the rotor to keep air flowing through it. This calculator uses 35% as a more realistic real-world efficiency figure for the sample 3-meter turbine output.
Does the Weibull shape factor k affect every output, or just some of them?
It only affects Avg Power Density and everything derived from it (annual energy density, sample turbine output, and the Weibull correction factor itself) — Instant Power Density is computed straight from your average wind speed with no Weibull adjustment. A higher k means more consistent wind speeds and produces a smaller correction factor than a lower, gustier k.
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