Hydrodynamic investigation and characterization of floating offshore wind turbine platforms has gained substantial research attention. In this study, we perform a numerical investigation using an SPHbased tool to identify the frequency properties of a DeepCwind platform equipped with a system of inclined, taut mooring lines. An open dataset is used as a reference solution: a DeepCwind-like platform tested using the semi-submersible layout proposed during the OC5 experimental campaign. The platform was kept at station by a system of inclined, pre-tensioned lines. Here, the model is validated against a decay test and response amplitude operators. It has shown good performance, indicating its capability in capturing second-order effects.

Numerical validation of a DeepCwind floating platform with inclined taut-legs under regular waves using the SPH method / Tagliafierro, B.; Capasso, S.; Viccione, G.; Dell'Edera, O.; Niosi, F.; Martínez-Estévez, I.; Domínguez, J.; Göteman, M.; Karimirad, M.. - (2024), pp. 731-738. ( 6th International Conference on Renewable Energies Offshore, RENEW 2024 Lisbon (PRT) 19-21 November 2024) [10.1201/9781003558859-80].

Numerical validation of a DeepCwind floating platform with inclined taut-legs under regular waves using the SPH method

Capasso, S.;Viccione, G.;Dell'Edera, O.;Niosi, F.;
2024

Abstract

Hydrodynamic investigation and characterization of floating offshore wind turbine platforms has gained substantial research attention. In this study, we perform a numerical investigation using an SPHbased tool to identify the frequency properties of a DeepCwind platform equipped with a system of inclined, taut mooring lines. An open dataset is used as a reference solution: a DeepCwind-like platform tested using the semi-submersible layout proposed during the OC5 experimental campaign. The platform was kept at station by a system of inclined, pre-tensioned lines. Here, the model is validated against a decay test and response amplitude operators. It has shown good performance, indicating its capability in capturing second-order effects.
2024
9781003558859
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2994927