Comparative study of the influence of kinematic interaction on the seismic response of monopile and jacket supported offshore wind turbines.

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Abstract Summary
In the last few years, offshore wind energy has been increasing significantly, being the energetic potential of this technology much higher than that of other renewables energies. Most of Offshore Wind Turbines (OWTs) installed in Europe are founded to the sea floor but, due to the increase in offshore wind turbine installations and the visual impact problem, new locations are being considered with greater depths and increasing seismic risk. In this field, jackets substructures are one of the most attractive options. Despite the low natural frequencies that characterise these systems, the effect of the kinematic interaction can be highly relevant in OWTs on monopiles [1]. For this reason, the need arises to analyse the importance of the influence of kinematic interaction of the seismic responses of multi-supported substructures, such as jackets with deep foundations. This paper presents a comparison of the kinematic interaction effects on the seismic response of two types of substructures for OWTs. OpenFAST [2] is used to analyse the dynamic behaviour of OWTs founded either on monopiles or through jacket substructures on deep foundation, taking into account soil-structure interaction. The comparative shows that the influence of kinematic interaction in both cases has a notable difference. As expected, in the case of the monopile, the rotational motion has a strong effect on the accelerations and the internal forces in the structure, although the impact of the translational filtered signal is small. However, in the jacket, the influence of the rotational motion is less pronounced. [1] Kaynia AM. Effect of kinematic interaction on seismic response of offshore wind turbines on monopiles. Earthquake Engineering & Structural Dynamics, 50(12), 2020. [2] OpenFAST Documentation, National Renewable Energy Laboratory, (2022). https://openfast.readthedocs.io/en/main/. Code published at https://github.com/OpenFAST/openfast.
Abstract ID :
471
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PhD Student
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Universidad de Las Palmas de Gran Canaria - University Institute SIANI, Spain
Associate Professor
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Universidad de Las Palmas de Gran Canaria, University Institute SIANI, Spain
Universidad de Las Palmas de Gran Canaria, University Institute SIANI, Spain
Universidad de Las Palmas de Gran Canaria - University Institute SIANI, Spain
Universidad de Las Palmas de Gran Canaria - University Institute SIANI, Spain
Universidad de Las Palmas de Gran Canaria - University Institute SIANI, Spain
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