@inproceedings{1e16a566bfde4499a2dd7edd1cefca97,
title = "End-to-end wind turbine design under uncertainties: a practical example",
abstract = "This paper illustrates the process of design under uncertainty on a practical case study of an offshore wind farm. We document the entire process through selection and quantification of relevant uncertainties, definition of probabilistic limit states, reliability computation algorithms, as well as illustrating the impacts of the analysis through a design utilization study. The brief introduction in this study draws information and summarizes outcomes from the extensive works that took part within the EU H2020 HIPERWIND project. The results from the study show that significant material savings can be achieved by introducing probabilistic design methodologies, and particularly with the help of an integrated modelling approach where the entire structure (turbine, tower & foundation) is considered as a whole.",
author = "N.K. Dimitrov and M. Kelly and M. McWilliam and M. Guiton and A. Cousin and P.A. Joulin and M.L. Mayol and M. Munoz-Zuniga and L. Franceschini and A. Lovera and E. Fekhari and E. Ardillon and C. Peyrard and M. Bakhoday-Paskyabi and S. Marelli and S. Schar and E. Vanem and C. Agrell and O. Gramstad and H. Wang",
year = "2024",
doi = "10.1088/1742-6596/2767/8/082017",
language = "English",
series = "Journal of Physics: Conference Series",
publisher = "IOP Publishing",
number = "8",
booktitle = "The Science of Making Torque from Wind (TORQUE 2024): System design and multi-fidelity/multi-disciplinary modeling",
address = "United Kingdom",
note = "The Science of Making Torque from Wind (TORQUE 2024), TORQUE 2024 ; Conference date: 29-05-2024 Through 31-05-2024",
}