Example For Mathematical Transformations
WindDataSuite implements a module for mathematical transformations.
The module is based on formulas, which can easily be constructed
by the user, and which comprise all arithmetic operations, algebraic,
transcendental, logical, and special functions, and any
arbitrary data variable.
In the following example, two different height profiles of the
wind speed are depicted (Fig.1):
The blue curve shows the height profile of the mean wind speeds
(mv, time series average),
the red curve shows the height profile of the mean effective wind speeds
(mev, time series average).
The mean effective wind speeds have been calulated in 3 steps:
1. step: Calculation of the power equivalent values v^{3} of
the wind speeds v.
2. step: Averaging (time series average) of the power equivalent
values v^{3}.
3. step: Calculation of the mean effective wind speed
as the 3. root from the time series mean of the power equivalent values.

Fig.1:

Mean wind speed (mv)
Mean effective wind speed (mev)


;
Data range

:

1 year (365 days), sampling rate 10 minutes

Processed channels

:

21 height levels of wind speed, complete profiles only
1. step: Pow[m^{3}/s^{3}] = v^{3}
2. step: mv = time series average(v), mPow = time series average(Pow)
3. step: mev[m/s] = ^{3}√mPow

Computing time

:

starting from the time series approx. 2 seconds

Processing time

:

starting from the time series approx. 2 minutes

