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). 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.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2024-12-31
DOI
https://doi.org/10.3390/jmse13010054
Citations
2
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
2.60

Funders

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article

Investigation of Floating Offshore Wind Farm Layout Optimization Considering Mooring Line Constraints

Haiying Sun, Chenzhi Cai, Mengshi Li, Tianhui Fan
2 citations
Journal of Marine Science and Engineering
Wind Energy Research and Development
2.60
article

Investigation of Floating Offshore Wind Farm Layout Optimization Considering Mooring Line Constraints

Haiying Sun, Chenzhi Cai, Mengshi Li, Tianhui Fan
article en
2 citations

Abstract

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.

Journal of Marine Science and EngineeringVol. 13(1)
Central South University (CN), South China University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 8%
Wind Energy Research and Development
2.60
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