Optimisation and evaluation of pre-design models for offshore wind turbines with jacket support structures and their influence on integrated load simulations

The Science of Making Torque from Wind 2012

Schafhirt, S.^1 ; Kaufer, D.^1 ; Cheng, P.W.^1

Stuttgart Wind Energy Research (SWE), University Stuttgart, Allmandring 5B, Stuttgart

70569, Germany^1

关键词: Computational effort;    Coupled simulation;    Hydro-elastic analysis;    Optimal solutions;    Reference modeling;    Simulation quality;    Support structures;    Wind turbine modeling;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/555/1/012088/pdf
DOI  :  10.1088/1742-6596/555/1/012088

来源: IOP

【 摘 要 】

In recent years many advanced load simulation tools, allowing an aero-servo-hydroelastic analyses of an entire offshore wind turbine, have been developed and verified. Nowadays, even an offshore wind turbine with a complex support structure such as a jacket can be analysed. However, the computational effort rises significantly with an increasing level of details. This counts especially for offshore wind turbines with lattice support structures, since those models do naturally have a higher number of nodes and elements than simpler monopile structures. During the design process multiple load simulations are demanded to obtain an optimal solution. In the view of pre-design tasks it is crucial to apply load simulations which keep the simulation quality and the computational effort in balance. The paper will introduce a reference wind turbine model consisting of the REpower5M wind turbine and a jacket support structure with a high level of detail. In total twelve variations of this reference model are derived and presented. Main focus is to simplify the models of the support structure and the foundation. The reference model and the simplified models are simulated with the coupled simulation tool Flex5-Poseidon and analysed regarding frequencies, fatigue loads, and ultimate loads. A model has been found which reaches an adequate increase of simulation speed while holding the results in an acceptable range compared to the reference results.