Wind Energy Calculator
Estimate turbine annual energy production (AEP) and capacity factor using Weibull wind speed distribution and a simplified power curve model.
Turbine & Wind Parameters
Vhub = Vmeas × (Hhub/Hmeas)0.14 | AEP = 8760 × ∫ P(v) × f(v) dv
Hub Wind Speed
--
Annual Energy (MWh)
--
Capacity Factor
--
Avg Power (kW)
--
Weibull Distribution & Power Curve
Estimated Monthly Energy Output
How this was calculated
Wind shear: V_hub = V_meas * (hub_height / meas_height)^0.14 (power law, alpha=0.14 typical for open terrain).
Weibull PDF: f(v) = (k/c)(v/c)^(k-1) * exp(-(v/c)^k), where c = V_avg / gamma(1 + 1/k).
Power curve: Simplified cubic ramp between cut-in and rated speed: P(v) = P_rated * ((v - v_cutin) / (v_rated - v_cutin))^3.
AEP: Numerical integration over 0-40 m/s in 0.5 m/s steps: AEP = 8760 * sum(P(v) * f(v) * dv).
Assumptions: No wake effects, no downtime, uniform wind shear exponent, simplified power curve.
Looking for AI-powered energy analytics, forecasting, or optimization for your wind or renewable projects?
Book a free strategy call →Understanding Wind Energy Estimation
Wind energy production depends on the wind resource at a site, the turbine characteristics, and hub height. The Weibull distribution is the industry-standard model for characterizing wind speed variability at a given location. Combined with a turbine power curve, it enables estimation of annual energy production (AEP) and capacity factor, the two key metrics for evaluating wind project feasibility.
All calculations run entirely in your browser. Built by Groundwork Analytics, an AI and engineering company for the energy industry. info@petropt.com.