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Exact(7)
Table 8 shows the estimated monthly capacity factor values.
Chang and Tu (2007) analyzed monthly energy output and monthly capacity factor of a wind farm.
Analytically, estimated values of monthly capacity factor are to be corrected for machine non-availability, grid non-availability, air density losses, and wake effect losses.
Figure 11 shows the graphical comparison of measured and corrected monthly capacity factor values given in Tables 5 and 9, respectively.
Estimated monthly capacity factor is corrected by multiplying it with the ratio of monthly mean air density at site to standard air density of 1.225 kg/m3.
The estimated monthly capacity factor values are multiplied by measured monthly machine availability and monthly grid availability given in Table 5 for adjusting the losses associated with machine non-availability and grid non-availability.
Similar(53)
Figure 11 Comparison of measured and corrected estimated monthly capacity factors of wind turbine.
Corrected monthly capacity factors are obtained by multiplying the estimated monthly capacitor factors given in Table 8 with the monthly correction factors given in Table 7.
Corrected monthly capacity factors shown in Table 9 does not give a comprehensible result, as monthly wind profile may vary from 1 year to another year.
They are calculated using Equation 35 and data given in Tables 1 and 4. Table 9 shows the corrected monthly capacity factors.
The performance of any installed wind turbine at any location can be evaluated by the mean power output (Pe,ave) over a period of time (usually, monthly and annually) and the capacity factor Cf (representing the fraction of the mean power output over a period of time to the rated electrical power PeR of the turbine).
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