The downstream speed estimation of the wind farm energy harvesting considering a random surface roughness

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Abstract
Recently, alternative energy becomes a popular issue associated with decreasing fossil energy source consumption. Moreover, this aim leads to renewable energy conservation for exploring potential sources, such as, solar and wind energy, which are more familiar than other energy sources. However, renewable energy usage is very dependent on the existing technology development which is applied to catch the natural energy sources. These works are subjected to study and estimate the downstream speed on the wind energy as a potential renewable energy source which is utilized for the wind farm energy harvesting. These works also consider the 24 hours operation based on technical parameters of the wind turbine and natural wind speed performances. These studies are demonstrated on the random surface roughness performing using an artificial salmon tracking algorithm. Results show that the random surface roughness influences the pattern of wind dispersion and wind speed reduction, as well as sweeping areas affected by the wind. It also has an impact on energy production related to the wind farm energy harvesting. Regarding the surface roughness within 0.01-0.936 randomly, the downstream speed covers 3.842-5.053 m/s. In particular, the wake decay also contributes to the wind sweeping in the harvesting potential energy area. By considering the hub high of 10 m, the highest downstream leads to the slowest speed on the constant wind flows.

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