Page 277 - Wind Energy Handbook
P. 277

BLADE LOADS DURING OPERATION                                           251


             As with the elements of the S matrix, the elements of the H matrix are all double-
             sided functions of frequency, n.
               Noting that the expression for the power spectral density S kk resembles that for
             the variance of the sum of group of k independent variables, it is apparent that the
             elements of the H matrix can be considered as the weighting factors for the linear
             combination of N independent, unit magnitude, white noise inputs to yield N
             correlated outputs with the correct spectral matrix. Thus the elements in the jth
             row of H are the weighting factors for the inputs contributing to the output at point
             j. The formula for the linear combination is

                                           j
                                          X
                                   u j (n) ¼  H jk (n)˜n exp ( iŁ k (n))          (5:55)
                                          k¼1

             where u j (n) is the complex coefficient of the discretized frequency component at
             n Hz of the simulated wind speed at point j. The frequency bandwidth is ˜n. Ł k (n)
             is the phase angle associated with the n Hz frequency component at point k, and is
             a random variable uniformly distributed over the interval 0   2ð.
               The values of the weighting factors, H jk , which are N(N þ 1)=2 in number are
             derived from the Equations (5.54), giving:

                      p ffiffiffiffiffiffiffi                       q ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
                 H 11 ¼  S 11  H 21 ¼ S 21 =H 11  H 22 ¼  S 22   H 2  H 31 ¼ S 31 =H 11
                                                              21
                 etc:                                                             (5:56)


             Hence
                         p ffiffiffiffiffiffiffiffiffiffiffiffiffi
                  u 1 (n) ¼  S 11 (n)˜n exp( iŁ 1 (n))

                         p ffiffiffiffiffiffiffiffiffiffiffiffiffi               q ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
                                                             2
                  u 2 (n) ¼  S 22 (n)˜n[C 21 (n) exp( iŁ 1 (n)) þ  1   C (n) exp( iŁ 2 (n))]
                                                             21
                  etc:                                                            (5:57)


             Time series for the wind-speed fluctuations are obtained by taking the inverse
             discrete Fourier transform of the coefficients u j (n) at each point j. Lateral and
             vertical wind-speed fluctuations can also be simulated, if desired, using the same
             method. As an illustration, examples of time series derived by this method for two
             points 10 m apart are shown in Figure 5.22, based on the Von Karman spectrum.
               In his 1988 paper, Veers pointed out that computation time required can be
             reduced by arranging for the simulated wind speed to be calculated at each point
             only at those times when a blade is passing, i.e., at a frequency of ÙB=2ð, where B
             is the number of blades. This is achieved by applying a phase shift to each
             frequency component at each point of ł j n2ð=Ù, where ł j is the azimuth angle of
             point j.
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