A novel multi-dimensional reliability approach for floating wind turbines under power production conditions
Floating offshore wind turbines (FOWT) generate green renewable energy and are a vital part of the modern offshore wind energy industry. Robust predicting extreme offshore loads during FOWT operations is an important safety concern. Excessive structural bending moments may occur during certain sea c...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Marine Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2022.970081/full |
| _version_ | 1818537540652630016 |
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| author | Xiaosen Xu Yihan Xing Oleg Gaidai Kelin Wang Karan Sandipkumar Patel Peng Dou Zhongyu Zhang |
| author_facet | Xiaosen Xu Yihan Xing Oleg Gaidai Kelin Wang Karan Sandipkumar Patel Peng Dou Zhongyu Zhang |
| author_sort | Xiaosen Xu |
| collection | DOAJ |
| description | Floating offshore wind turbines (FOWT) generate green renewable energy and are a vital part of the modern offshore wind energy industry. Robust predicting extreme offshore loads during FOWT operations is an important safety concern. Excessive structural bending moments may occur during certain sea conditions, posing an operational risk of structural damage. This paper uses the FAST code to analyze offshore wind turbine structural loads due to environmental loads acting on a specific FOWT under actual local environmental conditions. The work proposes a unique Gaidai-Fu-Xing structural reliability approach that is probably best suited for multi-dimensional structural responses that have been simulated or measured over a long period to produce relatively large ergodic time series. In the context of numerical simulation, unlike existing reliability approaches, the novel methodology does not need to re-start simulation again each time the system fails. As shown in this work, an accurate forecast of the probability of system failure can be made using measured structural response. Furthermore, traditional reliability techniques cannot effectively deal with large dimensionality systems and cross-correction across multiple dimensions. The paper aims to establish a state-of-the-art method for extracting essential information concerning extreme responses of the FOWT through simulated time-history data. Three key components of structural loads are analyzed, including the blade-root out-of-plane bending moment, tower fore-aft bending moment, and mooring line tension. The approach suggested in this study allows predicting failure probability efficiently for a non-linear multi-dimensional dynamic system as a whole. |
| first_indexed | 2024-12-11T18:52:04Z |
| format | Article |
| id | doaj.art-1d4de1de312b4163bc0069418fb41859 |
| institution | Directory Open Access Journal |
| issn | 2296-7745 |
| language | English |
| last_indexed | 2024-12-11T18:52:04Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj.art-1d4de1de312b4163bc0069418fb418592022-12-22T00:54:15ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452022-08-01910.3389/fmars.2022.970081970081A novel multi-dimensional reliability approach for floating wind turbines under power production conditionsXiaosen Xu0Yihan Xing1Oleg Gaidai2Kelin Wang3Karan Sandipkumar Patel4Peng Dou5Zhongyu Zhang6Marine Equipment and Technology Institute, Jiangsu University of Science and Technology, Zhenjiang, ChinaDepartment of Mechanical and Structutral Engineering and Materials Science, University of Stavanger, Stavanger, NorwayShanghai Engineering Research Center of Marine Renewable Energy, College of Engineering Science and Technology, Shanghai Ocean University, Shanghai, ChinaShanghai Engineering Research Center of Marine Renewable Energy, College of Engineering Science and Technology, Shanghai Ocean University, Shanghai, ChinaDepartment of Mechanical and Structutral Engineering and Materials Science, University of Stavanger, Stavanger, NorwayDepartment of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang, ChinaMarine Equipment and Technology Institute, Jiangsu University of Science and Technology, Zhenjiang, ChinaFloating offshore wind turbines (FOWT) generate green renewable energy and are a vital part of the modern offshore wind energy industry. Robust predicting extreme offshore loads during FOWT operations is an important safety concern. Excessive structural bending moments may occur during certain sea conditions, posing an operational risk of structural damage. This paper uses the FAST code to analyze offshore wind turbine structural loads due to environmental loads acting on a specific FOWT under actual local environmental conditions. The work proposes a unique Gaidai-Fu-Xing structural reliability approach that is probably best suited for multi-dimensional structural responses that have been simulated or measured over a long period to produce relatively large ergodic time series. In the context of numerical simulation, unlike existing reliability approaches, the novel methodology does not need to re-start simulation again each time the system fails. As shown in this work, an accurate forecast of the probability of system failure can be made using measured structural response. Furthermore, traditional reliability techniques cannot effectively deal with large dimensionality systems and cross-correction across multiple dimensions. The paper aims to establish a state-of-the-art method for extracting essential information concerning extreme responses of the FOWT through simulated time-history data. Three key components of structural loads are analyzed, including the blade-root out-of-plane bending moment, tower fore-aft bending moment, and mooring line tension. The approach suggested in this study allows predicting failure probability efficiently for a non-linear multi-dimensional dynamic system as a whole.https://www.frontiersin.org/articles/10.3389/fmars.2022.970081/fullfloating offshore wind turbine (FOWT)failure probabilitydynamic systemmulti-dimensional reliabilityenvironmental loadsrenewable energy |
| spellingShingle | Xiaosen Xu Yihan Xing Oleg Gaidai Kelin Wang Karan Sandipkumar Patel Peng Dou Zhongyu Zhang A novel multi-dimensional reliability approach for floating wind turbines under power production conditions Frontiers in Marine Science floating offshore wind turbine (FOWT) failure probability dynamic system multi-dimensional reliability environmental loads renewable energy |
| title | A novel multi-dimensional reliability approach for floating wind turbines under power production conditions |
| title_full | A novel multi-dimensional reliability approach for floating wind turbines under power production conditions |
| title_fullStr | A novel multi-dimensional reliability approach for floating wind turbines under power production conditions |
| title_full_unstemmed | A novel multi-dimensional reliability approach for floating wind turbines under power production conditions |
| title_short | A novel multi-dimensional reliability approach for floating wind turbines under power production conditions |
| title_sort | novel multi dimensional reliability approach for floating wind turbines under power production conditions |
| topic | floating offshore wind turbine (FOWT) failure probability dynamic system multi-dimensional reliability environmental loads renewable energy |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2022.970081/full |
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