Deciphering the Dance of the Winds and Waves: Unraveling Anomalous Dynamics in Floating Offshore Wind Turbines
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866910313501163520 |
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| author | Liu, Yihan Chertkov, Michael |
| author_facet | Liu, Yihan Chertkov, Michael |
| contents | We study the Floating Offshore Wind Turbine (FOWT) dynamic response to high wind velocity scenarios utilizing an extensive Markov Chain Monte Carlo simulation involving 10,000 trials of a reduced model from \cite{betti_development_2014} with a blade-pitch PID controller. The research emphasizes analysis of extreme events in surge, pitch and heave of FOWT, identifying and categorizing them based on their statistics, correlations and causal relations to wind and waves. A significant discovery is the differentiation of anomalies into short-correlated and long-correlated types, with the latter primarily influenced by wind conditions. For example, one of our findings is that while specific wave conditions may amplify anomalies, wind remains the predominant factor in long-term anomalous pitch behaviors. We anticipate that further development of this analysis of the operation's critical extreme events will be pivotal for advancing control strategies and design considerations in FOWTs, accommodating the turbulent environment they encounter. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_00018 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Deciphering the Dance of the Winds and Waves: Unraveling Anomalous Dynamics in Floating Offshore Wind Turbines Liu, Yihan Chertkov, Michael Dynamical Systems Fluid Dynamics We study the Floating Offshore Wind Turbine (FOWT) dynamic response to high wind velocity scenarios utilizing an extensive Markov Chain Monte Carlo simulation involving 10,000 trials of a reduced model from \cite{betti_development_2014} with a blade-pitch PID controller. The research emphasizes analysis of extreme events in surge, pitch and heave of FOWT, identifying and categorizing them based on their statistics, correlations and causal relations to wind and waves. A significant discovery is the differentiation of anomalies into short-correlated and long-correlated types, with the latter primarily influenced by wind conditions. For example, one of our findings is that while specific wave conditions may amplify anomalies, wind remains the predominant factor in long-term anomalous pitch behaviors. We anticipate that further development of this analysis of the operation's critical extreme events will be pivotal for advancing control strategies and design considerations in FOWTs, accommodating the turbulent environment they encounter. |
| title | Deciphering the Dance of the Winds and Waves: Unraveling Anomalous Dynamics in Floating Offshore Wind Turbines |
| topic | Dynamical Systems Fluid Dynamics |
| url | https://arxiv.org/abs/2402.00018 |