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In general, generated power increases as the cube of wind speed until it reaches rated speed.
This is critical for wind speed applications as wind power is proportional to the cube of wind speed.
The probability distribution of wind speed is a very important piece of information needed in the assessment of wind energy potential since wind power is proportional to the cube of wind speed.
However, for estimating the wind potential for commercial use of wind turbines, this is usually unnecessary as the energies at low wind speeds are small (wind energy is proportional to the cube of wind speed) and below the operating range of wind turbines (i.e., the cut-in wind speed is usually 2.5 3.5 m/s).
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Most variable-speed wind turbines (WTs) are operated to capture maximum power from wind, which is proportional to the cube of the wind speed.
It is windier at higher elevations and, thanks to the laws of physics, the power in wind per square yard of area captured by the windmill blades is proportional to the cube of the wind's velocity.
The power obtainable varies as the square of the rotor diameter and the cube of the wind velocity.
Calculations suggest that the amount of power absorbed into the ocean from a storm and subsequently detectable as noise is proportional to the cube of the wind speed.
According to the aerodynamics of the WT, the output power is proportional to the cube of the wind speed.
From (1), it is clear that the aerodynamic power (P a ) is directly proportional to the cube of the wind speed.
Reference [10] indicates that the nonlinear features of forecasting errors are mainly derived from the typical nonlinear procedure of forecasting systems, i.e., the power curve model, which ideally meets Betz' law, including the cube of the wind speed.
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