TY - JOUR
T1 - Assessment of Load Extrapolation Methods for Wind Turbines
AU - Toft, Henrik Stensgaard
AU - Sørensen, John Dalsgaard
AU - Veldkamp, Dick
N1 - Article no. 021001
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Wind Turbines
KW - Wind Turbine Responses
KW - Gaussian Process Model
KW - Statistical Load Extrapolation
KW - Wind Turbines
KW - Wind Turbine Responses
KW - Gaussian Process Model
KW - Statistical Load Extrapolation
U2 - 10.1115/1.4003416
DO - 10.1115/1.4003416
M3 - Journal article
SN - 0199-6231
VL - 133
SP - 1
EP - 8
JO - Journal of Solar Energy Engineering
JF - Journal of Solar Energy Engineering
IS - 2
ER -