Blades flex like wings
Utility-scale blades flex several meters in high wind. Designers let them “feather” and bend rather than stay rigid to absorb gust loads gracefully.
Swept area defaults to π·(D/2)². Cp ≤ 0.593 (Betz limit). Efficiency η covers mechanical + electrical chain.
Friendly estimate only. Real outputs depend on the full power curve and wind distribution at your site.
We use the standard wind power relation: Pavail = ½ · ρ · A · v³. The turbine extracts a fraction via the power coefficient Cp, then we apply a system efficiency η. Cut-in/out and an optional rated cap keep estimates realistic.
Tip: Small turbines often see capacity factors around 10–30% depending on site. Cp for 3-blade HAWTs is commonly ~0.3–0.45.
Utility-scale blades flex several meters in high wind. Designers let them “feather” and bend rather than stay rigid to absorb gust loads gracefully.
Modern turbines feather their blades a few degrees dozens of times per minute to squeeze extra Cp at low wind and shed force at high wind.
A breeze jumping from 6 to 8 m/s nearly doubles power because wind energy scales with v³. That’s why small speed boosts matter.
Coastal sites often see diurnal sea breezes that keep capacity factors high and smooth, giving offshore turbines their reputations for reliability.
New thermoplastic blades can be reheated and remolded, tackling the “blade graveyard” issue and lowering lifecycle emissions.
This calculator turns a few simple inputs—wind speed, rotor diameter, and reasonable performance assumptions—into a friendly estimate of wind power and energy. The core idea is that moving air carries kinetic energy. A rotor sweeps an area and converts a portion of that energy into shaft power, which a generator converts into electricity. The physics are compact but powerful: the available wind power scales with air density (ρ), swept area (A), and the cube of wind speed (v³). That cube relationship is why a modest increase in wind speed can dramatically boost output.
Power is instantaneous (kW). Energy integrates power over time (kWh). There are two practical ways to estimate energy: (1) multiply rated power by hours in a year and a capacity factor (a single, site-dependent efficiency number capturing wind variability and control behavior), or (2) multiply the calculated power at your representative wind speed by the number of generation hours per day. Capacity factor is convenient when you know your site’s wind distribution or have a long-term average; hours-per-day is handy for quick sensitivity checks.
Treat the outputs as awareness-level estimates rather than guarantees. Real turbines have detailed power curves, and real sites have changing wind speeds, directions, and turbulence across seasons. For quick planning: try a few wind speeds (e.g., 4–8 m/s), vary Cp within a realistic band, and compare both the capacity-factor and hours-per-day methods. If you later obtain a wind histogram or Weibull/Rayleigh parameters for your location, you can refine energy by integrating across the full wind distribution.
Bottom line: rotor size and wind speed dominate. Improve siting, aim for smooth flow, and use realistic assumptions for Cp, efficiency, and control limits. The calculator keeps those pieces transparent so you can learn, iterate, and plan with confidence.