Validation of a computationally efficient time-domain numerical tool against DeepCwind experimental data

A. B.K. Pribadi, L. Donatini, E. Lataire, G. Verao Fernandez, I. Martínez-Estévez

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citationer (Scopus)

Abstract

This paper presents the algorithm of a computationally efficient and reliable time-domain numerical tool capable of modelling floating wind turbine (FWT) platforms subjected to waves loads. Validation is performed against the experimental data of the DeepCwind semi-submersible. The platform's responses are modelled according to the Cummins’ equation of motion using frequency-domain hydrodynamic coefficients. Convolution integral of the impulse response functions for radiation forces is modelled using the recursive approach. The Morison equation is implemented to account for the drift force and viscous damping induced by the large heave plate. Mooring lines are modelled according to the lumped mass approach using an adapted version of the open source code MoorDyn. Modifications are done to model the hydrodynamic forces in the mooring lines subjected to waves and currents. A comparison is performed against DualSPHysics externally coupled with the MoorDyn+. This work is a foundation to further develop an FWT design optimization tool.

OriginalsprogEngelsk
TitelTrends in Renewable Energies Offshore : Proceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022
RedaktørerC. Guedes Soares
Antal sider12
ForlagCRC Press
Publikationsdato2023
Sider597-608
ISBN (Trykt)9781032420035
ISBN (Elektronisk)9781003360773
DOI
StatusUdgivet - 2023
Udgivet eksterntJa
Begivenhed5th International Conference on Renewable Energies Offshore, RENEW 2022 - Lisbon, Portugal
Varighed: 8 nov. 202210 nov. 2022

Konference

Konference5th International Conference on Renewable Energies Offshore, RENEW 2022
Land/OmrådePortugal
ByLisbon
Periode08/11/202210/11/2022

Bibliografisk note

Publisher Copyright:
© 2023 the Author(s).

Fingeraftryk

Dyk ned i forskningsemnerne om 'Validation of a computationally efficient time-domain numerical tool against DeepCwind experimental data'. Sammen danner de et unikt fingeraftryk.

Citationsformater