AI-Driven Model Prediction of Motions and Mooring Loads of a Spar Floating Wind Turbine in Waves and Wind
Author:
Affiliation:
1. CEHINAV, DACSON, ETSIN, Universidad Politécnica de Madrid (UPM), Av. de la Memoria 4, 28040 Madrid, Spain
2. CEHINAV, DITTU, ETSI de Caminos, Canales y Puertos, UPM, 28040 Madrid, Spain
Abstract
Funder
Ministry of Science and Innovation of Spain
Publisher
MDPI AG
Link
https://www.mdpi.com/2077-1312/12/9/1464/pdf
Reference49 articles.
1. IRENA (2023). Renewable Energy Statistics 2023, International Renewable Energy Agency. Technical Report.
2. DNV (2021). Fatigue Design of Offshore Steel Structures, DNV. Technical Report.
3. Jonkman, J., and Sclavounos, P. (2006, January 9–12). Development of Fully Coupled Aeroelastic and Hydrodynamic Models for Offshore Wind Turbines: Preprint. Proceedings of the 44th AIAA Aerospace Sciences Meeting and Exhibit, Reno, NV, USA.
4. A Contribution on Quasi-Static Mooring Line Damping;Bauduin;J. Offshore Mech. Arct. Eng.-Trans.,2000
5. Senra, S., Corrêa, F., Jacob, B., Mourelle, M., and Masetti, I. (2002, January 23–28). Towards the Integration of Analysis and Design of Mooring Systems and Risers: Part I—Studies on a Semisubmersible Platform. Proceedings of the OMAE 2022, Oslo, Norway.
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