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This study discusses the development of a coupled mesoscale microscale framework for wind resource estimation and farm aerodynamics.
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The increasing interest in harvesting offshore wind energy requires reliable tools for the wind resource estimation at these sites.
Meteorological (met) tower measurements are the industry standard for wind resource assessment for wind farm siting.
The use of atmospheric models for wind resource assessment in complex terrain is limited by their coarse resolution.
Most commonly used for wind resource predictions on land as well as offshore is the WAsP program.
Himri et al. [16] investigated 8 years wind speed data of Tindouf, Algeria, for wind resource assessment.
However, the two wind speeds of utmost interest for wind resource assessment are the wind speed carrying maximum energy (vEmax) and the most probable or modal wind speed (vmp).
At system level, our supports for hardware resource estimation and performance evaluation are applied.
Rehman et al. [13] used Weibull distribution for assessing wind resource in Saudi Arabia.
In addition to the mean wind speed, the other two significant wind speeds for wind energy estimation are the most probable wind speed (VF) and the wind speed carrying maximum energy (VE).
Many researchers have already been used the methods at different geographical locations for wind energy estimation (Lun and Lam 2000).
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