Fatigue design load calculations of the offshore NREL 5 MW benchmark turbine using quadrature rule techniques

Fatigue design load calculations of the offshore NREL 5 MW benchmark turbine using quadrature rule techniques

van den Bos, L.M.M. (TU Delft Wind Energy; Centrum Wiskunde & Informatica (CWI))
Bierbooms, W.A.A.M. (TU Delft Wind Energy)
Alexandre, Armando (Det Norske Veritas)
Sanderse, Benjamin (Centrum Wiskunde & Informatica (CWI))
van Bussel, G.J.W. (TU Delft Wind Energy)

2020-05-01

A novel approach is proposed to reduce, compared with the conventional binning approach, the large number of aeroelastic code evaluations that are necessary to obtain equivalent loads acting on wind turbines. These loads describe the effect of long-term environmental variability on the fatigue loads of a horizontal-axis wind turbine. In particular, Design Load Case 1.2, as standardized by IEC, is considered. The approach is based on numerical integration techniques and, more specifically, quadrature rules. The quadrature rule used in this work is a recently proposed “implicit” quadrature rule, which has the main advantage that it can be constructed directly using measurements of the environment. It is demonstrated that the proposed approach yields accurate estimations of the equivalent loads using a significantly reduced number of aeroelastic model evaluations (compared with binning). Moreover, the error introduced by the seeds (introduced by averaging over random wind fields and sea states) is incorporated in the quadrature framework, yielding an even further reduction in the number of aeroelastic code evaluations. The reduction in computational time is demonstrated by assessing the fatigue loads on the NREL 5 MW reference offshore wind turbine in conjunction with measurement data obtained at the North Sea, for both a simplified and a full load case.

aeroelasticity
binning
fatigue loads
quadrature rules
seed balancing

http://resolver.tudelft.nl/uuid:c31ce4b2-c55e-46bf-a2d6-c3ec1baae233

https://doi.org/10.1002/we.2470

1095-4244

Wind Energy, 23 (5), 1181-1195

Institutional Repository

journal article

© 2020 L.M.M. van den Bos, W.A.A.M. Bierbooms, Armando Alexandre, Benjamin Sanderse, G.J.W. van Bussel