Assessment of Load Extrapolation Methods for Wind Turbines

Henrik Stensgaard Toft, John Dalsgaard Sørensen, Dick Veldkamp

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17 Citations (Scopus)


In the present paper, methods for statistical load extrapolation of wind-turbine response are studied using a stationary Gaussian process model, which has approximately the same spectral properties as the response for the out-of-plane bending moment of a windturbine blade. For a Gaussian process, an approximate analytical solution for the distribution of the peaks is given by Rice. In the present paper, three different methods for statistical load extrapolation are compared with the analytical solution for one mean wind speed. The methods considered are global maxima, block maxima, and the peak over threshold method with two different threshold values. The comparisons show that the goodness of fit for the local distribution has a significant influence on the results, but the peak over threshold method with a threshold value on the mean plus 1.4 standard deviations generally gives the best results. By considering Gaussian processes for 12 mean wind speeds, the “fitting before aggregation” and “aggregation before fitting” approaches are studied. The results show that the fitting before aggregation approach gives the best results.
Original languageEnglish
JournalJournal of Solar Energy Engineering
Issue number2
Pages (from-to)1-8
Number of pages8
Publication statusPublished - 2011

Bibliographical note

Article no. 021001


  • Wind Turbines
  • Wind Turbine Responses
  • Gaussian Process Model
  • Statistical Load Extrapolation

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