RT Journal Article
T1 A novel python-based floating offshore wind turbine simulation framework
A1 López-Queija, Javier
A1 Sotomayor, Eneko
A1 Jugo, Josu
A1 Aristondo, Ander
A1 Robles, Eider
AB The expansion of floating offshore wind brings the industry closer to achieving commercial viability. However, the challenging environment characterised by strong winds, waves, and currents, along with the growing size of wind turbines and the dynamic behaviour of floaters, introduces concerns about power production efficiency and system durability due to increased fatigue loads, which subsequently impacts overall costs. In an attempt to mitigate the financial implications coming from alterations made to control strategies and structural elements during the initial design phase, this paper propounds an all-encompassing simulation framework for offshore wind turbines. The current study thoroughly explores the various capabilities of the tool, with a focus on its simulation models. Importantly, the paper highlights the complex interactions between tool models and different controllers. Carefully designed, this tool offers users a variety of functions to enhance system design, fine-tune control strategies, and thoroughly assess performance metrics. The paper elaborates on these aspects, providing an explanation of the tool's capabilities and enhancing the dynamic comparison between the models.
SN 0960-1481
YR 2024
FD 2024-02
LK https://hdl.handle.net/11556/3603
UL https://hdl.handle.net/11556/3603
LA eng
NO López-Queija , J , Sotomayor , E , Jugo , J , Aristondo , A & Robles , E 2024 , ' A novel python-based floating offshore wind turbine simulation framework ' , Renewable Energy , vol. 222 , 119973 . https://doi.org/10.1016/j.renene.2024.119973
NO Publisher Copyright: © 2024 The Authors
NO The work was funded by the Basque Government through the BIKAINTEK PhD support program (grant no. 48-AF-W2-2019-00010 ), and through the Elkartek program (grant no. KK-2022/00090 , KONFLOT project). The authors acknowledge NAUTILUS Floating Solutions for their support to the PhD thesis of Javier Lopez-Queija. The research has been carried out within the framework of the Joint Research Laboratory on Offshore Renewable Energy (JRL-ORE). The authors also acknowledge EUSKAMPUS FUNDAZIOA for their support through the Misiones 1.0 program. The work was funded by the Basque Government through the BIKAINTEK PhD support program (grant no. 48-AF-W2-2019-00010 ), and through the Elkartek program (grant no. KK-2022/00090 , KONFLOT project). The authors acknowledge NAUTILUS Floating Solutions for their support to the PhD thesis of Javier Lopez-Queija. The research has been carried out within the framework of the Joint Research Laboratory on Offshore Renewable Energy (JRL-ORE) . The authors also acknowledge EUSKAMPUS FUNDAZIOA for their support through the Misiones 1.0 program. In the proposed optimization framework, a range of complexity level models can be employed. For the optimised system validation a complex dynamic model, OpenFAST [11], supported by NREL, is used. While the system dimensions and controllers optimization process utilises a low complexity dynamic model based on the work in Ref. [28]. Additionally, the tool's modular framework enables users to easily incorporate any other FOWT model of their choice. In this study, the dynamic performance of the low complexity model is compared with the more complex OpenFAST model to validate the suitability of the low complexity model for optimization processes.As discussed in Section 2, a more comprehensive dynamic time domain model is required to validate the optimised designs obtained. In this initial version of the tool, OpenFAST [11], supported by NREL, is utilised for this purpose. OpenFAST is a multi-physics, multi-fidelity tool for simulating the coupled dynamic response of wind turbines, both onshore and floating. The code is integrated with modules that encompass aerodynamics, hydrodynamics for offshore foundations, control, and electrical system dynamics, as well as structural dynamics, enabling nonlinear time domain simulations.The work was funded by the Basque Government through the BIKAINTEK PhD support program (grant no. 48-AF-W2-2019-00010), and through the Elkartek program (grant no. KK-2022/00090, KONFLOT project). The authors acknowledge NAUTILUS Floating Solutions for their support to the PhD thesis of Javier Lopez-Queija. The research has been carried out within the framework of the Joint Research Laboratory on Offshore Renewable Energy (JRL-ORE). The authors also acknowledge EUSKAMPUS FUNDAZIOA for their support through the Misiones 1.0 program.
DS TECNALIA Publications
RD 26 jul 2024