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This study also reviews and discusses six power curves proposed by the literature and the power loss caused by the mutual wake effect between turbines in the wind energy potential assessment process.
The evaluation results demonstrate that choice of power curves influences the selection of wind turbines and that consideration of the mutual wake effect may help to optimize wind farm design in wind energy assessment.
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The wake model gives a clear idea of wake effect in wind farm and effective spacing between the WTs.
The downstream WTs experience the wake effect.
The wake effect calculations are discussed in subsections.
The wake effect depends on the allocation of WT in the wind farm.
In case of larger OSWFs, wake effect decreases the total power generation of the wind farm.
The effective performance and power extraction of a wind farm are strongly linked with wake effect.
Considering the wake effect, the wind speed decreases by 5% after flowing through a WT.
The wake effect is an important factor in wind farm design.
This can be explained by the predominance of the advancing and retreating blade effect compared with the skewed wake effect.
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