Optimization Design of Blades Based on Multi-Objective Particle Swarm Optimization Algorithm
Among renewable energy sources derived from the ocean, wind power has developed rapidly. This article proposes an optimization algorithm framework that integrates two objectives: aerodynamic shape optimization and structural optimization. For practical reasons, the 5−MW wind turbine blade was select...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/3/486 |
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| _version_ | 1850279767003103232 |
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| author | Zihao Li Wei Wang Yonghe Xie Detang Li |
| author_facet | Zihao Li Wei Wang Yonghe Xie Detang Li |
| author_sort | Zihao Li |
| collection | DOAJ |
| description | Among renewable energy sources derived from the ocean, wind power has developed rapidly. This article proposes an optimization algorithm framework that integrates two objectives: aerodynamic shape optimization and structural optimization. For practical reasons, the 5−MW wind turbine blade was selected as the research object, and the sea conditions near the East China Sea were chosen as the environmental parameters for its service environment. The FAST simulation software was employed for verification purposes. The results indicated that the optimized blade not only meets the target power output but also possesses unique economic advantages, such as being lightweight and exhibiting low aerodynamic force. |
| format | Article |
| id | doaj-art-3c39db10c9144a7c8fd07a26ba41c0f2 |
| institution | OA Journals |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-3c39db10c9144a7c8fd07a26ba41c0f22025-08-20T01:49:00ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-02-0113348610.3390/jmse13030486Optimization Design of Blades Based on Multi-Objective Particle Swarm Optimization AlgorithmZihao Li0Wei Wang1Yonghe Xie2Detang Li3School of Naval Architecture and Maritime, Zhejiang Ocean University, Zhoushan 316000, ChinaSchool of Naval Architecture and Maritime, Zhejiang Ocean University, Zhoushan 316000, ChinaSchool of Naval Architecture and Maritime, Zhejiang Ocean University, Zhoushan 316000, ChinaSchool of Naval Architecture and Maritime, Zhejiang Ocean University, Zhoushan 316000, ChinaAmong renewable energy sources derived from the ocean, wind power has developed rapidly. This article proposes an optimization algorithm framework that integrates two objectives: aerodynamic shape optimization and structural optimization. For practical reasons, the 5−MW wind turbine blade was selected as the research object, and the sea conditions near the East China Sea were chosen as the environmental parameters for its service environment. The FAST simulation software was employed for verification purposes. The results indicated that the optimized blade not only meets the target power output but also possesses unique economic advantages, such as being lightweight and exhibiting low aerodynamic force.https://www.mdpi.com/2077-1312/13/3/486floating offshore wind turbinesmulti-objective PSO algorithmaerodynamic efficiencystructural strengthcollaborative optimization |
| spellingShingle | Zihao Li Wei Wang Yonghe Xie Detang Li Optimization Design of Blades Based on Multi-Objective Particle Swarm Optimization Algorithm Journal of Marine Science and Engineering floating offshore wind turbines multi-objective PSO algorithm aerodynamic efficiency structural strength collaborative optimization |
| title | Optimization Design of Blades Based on Multi-Objective Particle Swarm Optimization Algorithm |
| title_full | Optimization Design of Blades Based on Multi-Objective Particle Swarm Optimization Algorithm |
| title_fullStr | Optimization Design of Blades Based on Multi-Objective Particle Swarm Optimization Algorithm |
| title_full_unstemmed | Optimization Design of Blades Based on Multi-Objective Particle Swarm Optimization Algorithm |
| title_short | Optimization Design of Blades Based on Multi-Objective Particle Swarm Optimization Algorithm |
| title_sort | optimization design of blades based on multi objective particle swarm optimization algorithm |
| topic | floating offshore wind turbines multi-objective PSO algorithm aerodynamic efficiency structural strength collaborative optimization |
| url | https://www.mdpi.com/2077-1312/13/3/486 |
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