Dynamic analysis of an improved shared moorings for floating offshore wind farm
Shared mooring lines have demonstrated their effectiveness in reducing the installation costs of floating offshore wind farms by minimizing the requirement for multiple anchors. However, this innovation has also brought complex restoring properties and a greater tendency towards resonance. To tackle...
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| Published in | Renewable energy Vol. 232; p. 120963 |
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| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier Ltd
01.10.2024
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| Subjects | |
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| Abstract | Shared mooring lines have demonstrated their effectiveness in reducing the installation costs of floating offshore wind farms by minimizing the requirement for multiple anchors. However, this innovation has also brought complex restoring properties and a greater tendency towards resonance. To tackle this challenge, this research presents a novel approach for shared mooring systems, implemented in a 2 × 2 orthogonal wind farm arrangement featuring 5 MW wind turbines installed on the Barge platform. Through the application of FAST and AQWA, a comparative analysis is conducted juxtaposing the original mooring (OM) and three new mooring models, namely buoy mooring (BM), clump weight mooring (WM) and buoy clump weight mooring (BWM). A comprehensive examination is carried out to assess the impact of on platform and mooring characteristics. The results show that the BM can effectively reduce the platform's surge and sway response, and that the mooring tension and laid length decrease as the net buoyancy increases. The WM increases the response amplitude at the yaw direction. The BWM with link buoys helps to improve the dynamic response of the platform and increases the length of the mooring laid. This analysis provides valuable insights for the design of floating wind farms incorporating shared mooring systems. |
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| AbstractList | Shared mooring lines have demonstrated their effectiveness in reducing the installation costs of floating offshore wind farms by minimizing the requirement for multiple anchors. However, this innovation has also brought complex restoring properties and a greater tendency towards resonance. To tackle this challenge, this research presents a novel approach for shared mooring systems, implemented in a 2 × 2 orthogonal wind farm arrangement featuring 5 MW wind turbines installed on the Barge platform. Through the application of FAST and AQWA, a comparative analysis is conducted juxtaposing the original mooring (OM) and three new mooring models, namely buoy mooring (BM), clump weight mooring (WM) and buoy clump weight mooring (BWM). A comprehensive examination is carried out to assess the impact of on platform and mooring characteristics. The results show that the BM can effectively reduce the platform's surge and sway response, and that the mooring tension and laid length decrease as the net buoyancy increases. The WM increases the response amplitude at the yaw direction. The BWM with link buoys helps to improve the dynamic response of the platform and increases the length of the mooring laid. This analysis provides valuable insights for the design of floating wind farms incorporating shared mooring systems. |
| ArticleNumber | 120963 |
| Author | Li, Chun Jia, Wenzhe Xie, Lu Yan, Yangtian Yue, Minnan Xu, Zifei Fan, Li Bashir, Musa Liu, Qingsong He, Hongsheng |
| Author_xml | – sequence: 1 givenname: Lu surname: Xie fullname: Xie, Lu organization: School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China – sequence: 2 givenname: Chun surname: Li fullname: Li, Chun organization: School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China – sequence: 3 givenname: Minnan surname: Yue fullname: Yue, Minnan email: ymn@usst.edu.cn organization: School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China – sequence: 4 givenname: Hongsheng surname: He fullname: He, Hongsheng organization: School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China – sequence: 5 givenname: Wenzhe surname: Jia fullname: Jia, Wenzhe organization: School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China – sequence: 6 givenname: Qingsong surname: Liu fullname: Liu, Qingsong organization: Liverpool Logistics, Offshore and Marine (LOOM) Research Institute, Liverpool John Moores University, Liverpool, Byrom Street, L3 3AF, United Kingdom – sequence: 7 givenname: Zifei surname: Xu fullname: Xu, Zifei organization: Department of Civil and Environmental Engineering, School of Engineering, University of Liverpool, the Quadrangle, Brownlow Hill, L69 3GH, United Kingdom – sequence: 8 givenname: Li surname: Fan fullname: Fan, Li organization: School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China – sequence: 9 givenname: Musa orcidid: 0000-0002-4331-4275 surname: Bashir fullname: Bashir, Musa organization: Department of Civil and Environmental Engineering, School of Engineering, University of Liverpool, the Quadrangle, Brownlow Hill, L69 3GH, United Kingdom – sequence: 10 givenname: Yangtian surname: Yan fullname: Yan, Yangtian organization: Faculty of Maritime and Transportation, Ningbo University, Ningbo, 315211, China |
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| Keywords | Floating wind turbine Shared-mooring Dynamic analysis Offshore wind |
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