👉 Wind math, or wind resource assessment, involves using mathematical models to estimate the wind energy potential at a specific location. This process typically includes gathering data on wind speed, direction, and turbulence using anemometers and other sensors, then applying statistical methods and computational fluid dynamics (CFD) to predict wind patterns and energy output. Key equations, such as the Weibull distribution for wind speed frequency and power law relationships for energy density, are used to convert these measurements into estimates of annual energy production (AEP). These calculations help in designing efficient wind turbines and determining the economic viability of wind energy projects by providing a quantitative basis for expected returns on investment.
