TY - JOUR
T1 - Identification of Contemporaneous Loading for Primary Extrapolated Extreme Loads in Wind Turbines
AU - Natarajan, Anand
AU - Holley, William E.
AU - Penmatsa, Reveendra
AU - Brahmanapalli, Bhanu Chandar
PY - 2008
Y1 - 2008
N2 - This paper describes the statistical identification of component loading occurring at the
same instant as an extrapolated primary 50 year extreme load. As it is not feasible to
simulate a full lifetime of fluctuating wind turbine loads to determine the largest extreme
value, extrapolation to a 50 year or other desired long-term return period is performed
based on limited simulation data. For specific wind turbine component design, it is required
to identify other simultaneously applied loading corresponding to this long-term extrapolated
load level. This identification is performed using statistical methods, since an appropriate
loads simulation time series directly giving loads at the extrapolated load level is
unavailable. The statistical behavior of each contemporaneous load in the simulation time
series that was used to determine the extrapolated load is illustrated by the histogram.
Since this histogram is in general skewed, the mean value of the corresponding data may
not be an appropriate value for such contemporaneous loads. Instead, in this paper, a
value corresponding to the mode of the estimated probability distribution function of the
contemporaneous load is used. The robustness of ascertaining this most probable contemporaneous
load is also investigated. The application of this process of identification of
contemporaneous extreme loads is also applied to cases wherein the extrapolated load is
a resultant load value, for which a suitable vector direction for the extreme resultant load
is chosen. Copyright © 2008 John Wiley & Sons, Ltd.
AB - This paper describes the statistical identification of component loading occurring at the
same instant as an extrapolated primary 50 year extreme load. As it is not feasible to
simulate a full lifetime of fluctuating wind turbine loads to determine the largest extreme
value, extrapolation to a 50 year or other desired long-term return period is performed
based on limited simulation data. For specific wind turbine component design, it is required
to identify other simultaneously applied loading corresponding to this long-term extrapolated
load level. This identification is performed using statistical methods, since an appropriate
loads simulation time series directly giving loads at the extrapolated load level is
unavailable. The statistical behavior of each contemporaneous load in the simulation time
series that was used to determine the extrapolated load is illustrated by the histogram.
Since this histogram is in general skewed, the mean value of the corresponding data may
not be an appropriate value for such contemporaneous loads. Instead, in this paper, a
value corresponding to the mode of the estimated probability distribution function of the
contemporaneous load is used. The robustness of ascertaining this most probable contemporaneous
load is also investigated. The application of this process of identification of
contemporaneous extreme loads is also applied to cases wherein the extrapolated load is
a resultant load value, for which a suitable vector direction for the extreme resultant load
is chosen. Copyright © 2008 John Wiley & Sons, Ltd.
U2 - 10.1002/we.304
DO - 10.1002/we.304
M3 - Journal article
SN - 1095-4244
VL - 11
SP - 577
EP - 587
JO - Wind Energy
JF - Wind Energy
ER -