Investigation of Floating Offshore Wind Farm Layout Optimization Considering Mooring Line Constraints
Floating offshore wind turbines (FOWTs) have become a promising solution for harnessing wind energy in deeper seas. However, the complex interplay between FOWT layout, mooring line patterns, and wake effects significantly influences the overall performance of a floating offshore wind farm (FOWF). Th...
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MDPI AG
2024-12-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/1/54 |
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| author | Haiying Sun Mingdan Li Tianhui Fan Chenzhi Cai |
| author_facet | Haiying Sun Mingdan Li Tianhui Fan Chenzhi Cai |
| author_sort | Haiying Sun |
| collection | DOAJ |
| description | Floating offshore wind turbines (FOWTs) have become a promising solution for harnessing wind energy in deeper seas. However, the complex interplay between FOWT layout, mooring line patterns, and wake effects significantly influences the overall performance of a floating offshore wind farm (FOWF). This paper proposes a novel optimization methodology that integrates mooring line constraints into the FOWF layout optimization process. The wake-induced power deficit is considered, whereas the vortices are neglected. The new method considers the constraint areas for each FOWT, which are defined based on both mooring line buffer zones and wind turbine buffer zones. By defining constraint areas, the optimization process ensures that FOWTs are optimally positioned while avoiding interference and collisions. By carefully considering the buffer zones, the power potential of FOWFs with three-line, four-line, and six-line mooring configurations can be improved by 122%, 100%, and 78%, respectively. Then, a genetic algorithm is employed to optimize the FOWT positions and mooring line angles simultaneously. The effectiveness of the proposed method is demonstrated through a case study in Guangdong, resulting in a significant 5% increase in power output potential compared to conventional approaches. This research contributes to the advancement of FOWT layout optimization and provides valuable insights for the design and deployment of future FOWFs. |
| format | Article |
| id | doaj-art-e8b5a67ecc7f45b5b86091e5b66acd86 |
| institution | Kabale University |
| issn | 2077-1312 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-e8b5a67ecc7f45b5b86091e5b66acd862025-01-24T13:36:41ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-12-011315410.3390/jmse13010054Investigation of Floating Offshore Wind Farm Layout Optimization Considering Mooring Line ConstraintsHaiying Sun0Mingdan Li1Tianhui Fan2Chenzhi Cai3School of Marine Science and Engineering, South China University of Technology, Guangzhou 511400, ChinaSchool of Marine Science and Engineering, South China University of Technology, Guangzhou 511400, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, ChinaSchool of Civil Engineering, Central South University, Changsha 410083, ChinaFloating offshore wind turbines (FOWTs) have become a promising solution for harnessing wind energy in deeper seas. However, the complex interplay between FOWT layout, mooring line patterns, and wake effects significantly influences the overall performance of a floating offshore wind farm (FOWF). This paper proposes a novel optimization methodology that integrates mooring line constraints into the FOWF layout optimization process. The wake-induced power deficit is considered, whereas the vortices are neglected. The new method considers the constraint areas for each FOWT, which are defined based on both mooring line buffer zones and wind turbine buffer zones. By defining constraint areas, the optimization process ensures that FOWTs are optimally positioned while avoiding interference and collisions. By carefully considering the buffer zones, the power potential of FOWFs with three-line, four-line, and six-line mooring configurations can be improved by 122%, 100%, and 78%, respectively. Then, a genetic algorithm is employed to optimize the FOWT positions and mooring line angles simultaneously. The effectiveness of the proposed method is demonstrated through a case study in Guangdong, resulting in a significant 5% increase in power output potential compared to conventional approaches. This research contributes to the advancement of FOWT layout optimization and provides valuable insights for the design and deployment of future FOWFs.https://www.mdpi.com/2077-1312/13/1/54floating wind farmgenetic algorithmmooring patternwind farm layout optimization |
| spellingShingle | Haiying Sun Mingdan Li Tianhui Fan Chenzhi Cai Investigation of Floating Offshore Wind Farm Layout Optimization Considering Mooring Line Constraints Journal of Marine Science and Engineering floating wind farm genetic algorithm mooring pattern wind farm layout optimization |
| title | Investigation of Floating Offshore Wind Farm Layout Optimization Considering Mooring Line Constraints |
| title_full | Investigation of Floating Offshore Wind Farm Layout Optimization Considering Mooring Line Constraints |
| title_fullStr | Investigation of Floating Offshore Wind Farm Layout Optimization Considering Mooring Line Constraints |
| title_full_unstemmed | Investigation of Floating Offshore Wind Farm Layout Optimization Considering Mooring Line Constraints |
| title_short | Investigation of Floating Offshore Wind Farm Layout Optimization Considering Mooring Line Constraints |
| title_sort | investigation of floating offshore wind farm layout optimization considering mooring line constraints |
| topic | floating wind farm genetic algorithm mooring pattern wind farm layout optimization |
| url | https://www.mdpi.com/2077-1312/13/1/54 |
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