Academic Journal
SEAHOWL: Partitioned Multiphysics and Multifidelity Modelling of Wind Turbines with Monolithically Coupled Elastodynamics
| العنوان: | SEAHOWL: Partitioned Multiphysics and Multifidelity Modelling of Wind Turbines with Monolithically Coupled Elastodynamics |
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| المؤلفون: | De Lataillade, Tristan, Yu, Wenchao, Pallud, Maxime, Capaldo, Matteo |
| المصدر: | Journal of Physics: Conference Series ; volume 2767, issue 5, page 052051 ; ISSN 1742-6588 1742-6596 |
| بيانات النشر: | IOP Publishing |
| سنة النشر: | 2024 |
| الوصف: | We introduce SEAHOWL (Servo-Elasto-Aero-Hydro Offshore Wind Lab), a novel multiphysics multifidelity simulation framework for large-scale onshore, offshore, and floating wind turbines. For structural dynamics, multibody and finite element problems are coupled monolithically and solved within a single system of equations through Project Chrono, providing high numerical stability and optimal coupling accuracy. Combined with partitioned multiphysics, modularity is at the heart of the framework with various numerical methods and solvers (internal or external) available for each physics. This flexibility allows for the selection a target trade-off between numerical accuracy and computational efficiency on a use-case basis. Simulations showcased here have been selected through the prism of industrial R&D challenges, covering: controller response and loads over the operational wind range, 3P effect for different levels of fidelity for the blades, floating wind turbine response under irregular waves and turbulent wind, and innovative multibody application for 3P fatigue mitigation. SEAHOWL is cross-validated against the reference OpenFAST whole-turbine simulator from NREL, showing overall good agreement while differences between the two frameworks are highlighted. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| DOI: | 10.1088/1742-6596/2767/5/052051 |
| DOI: | 10.1088/1742-6596/2767/5/052051/pdf |
| الاتاحة: | http://dx.doi.org/10.1088/1742-6596/2767/5/052051 https://iopscience.iop.org/article/10.1088/1742-6596/2767/5/052051 https://iopscience.iop.org/article/10.1088/1742-6596/2767/5/052051/pdf |
| Rights: | https://creativecommons.org/licenses/by/4.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining |
| رقم الانضمام: | edsbas.F780D6E1 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1088/1742-6596/2767/5/052051 |
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