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- Title
Advances in Offshore Wind.
- Authors
Song, Dongran; Fan, Tianhui; Li, Qingan; Joo, Young Hoon
- Abstract
"Advances in Offshore Wind" is a document that discusses the progress and challenges of offshore wind power. It highlights the advantages of offshore wind power, such as higher wind speeds and conservation of land resources, and notes that offshore wind power has gained significant attention and made substantial progress in recent years. The document also mentions the global installed wind capacity and the role of China in offshore wind power generation. It emphasizes the need to address the cost challenges associated with offshore wind power and mentions various challenges and considerations in the construction and operation of offshore wind farms. The document introduces a special issue that aims to promote research and development in offshore wind power and provides an overview of the articles included in the issue, covering topics such as blade icing, optimization of power collection systems, carbon fiber composites, multi-rotor wind turbines, and wind-speed variation patterns. The document encourages readers to explore these articles to expand their knowledge in the field of offshore wind power. This compilation of articles provides a comprehensive overview of wind turbine research, covering a wide range of topics including turbine blades, turbine structures, wind speed distribution, wake effects, and wind farm collection systems. The articles explore different aspects of wind turbine research, such as the materials and stability of turbine blades, the impact of icing on power loss, and the prediction of yawed wind turbine wakes using machine learning. The research presented in these articles contributes to the advancement of knowledge in the field and has implications for enhancing the efficiency and performance of wind turbines in practical settings
- Subjects
WIND power; WIND turbine blades; VERTICAL axis wind turbines; COMPUTATIONAL fluid dynamics; DEEP reinforcement learning; REINFORCEMENT learning; WIND turbine efficiency
- Publication
Journal of Marine Science & Engineering, 2024, Vol 12, Issue 2, p359
- ISSN
2077-1312
- Publication type
Article
- DOI
10.3390/jmse12020359