Liu, Xuan, Xing, Xiuqing, Kang, Chang Wei, Zhang, Xiaoqin, Raghavan, Venugopalan S. G., Nguyen, Vinh Tan, and Chin Lee Lim. "Towards Offshore Wind Farm Design Through Comprehensive Meteo-Oceanographic Analysis in Extreme Weather Conditions." Paper presented at the The 34th International Ocean and Polar Engineering Conference, Rhodes, Greece, June 2024.
Abstract:
Offshore wind farm operates in a complex environment, undergoing loading from a variety of sources such as wind, wave, and current. These external meteo-oceanographic conditions play a critical role in the design and analysis of offshore wind farms. However, accurate numerical representation in coastal areas is always challenging due to the high complexity of air-sea momentum transfer. To accurately characterize the physical behavior of the offshore environment, this research evaluated the performance of different configurations in COAWST Model under extreme weather scenarios in a proposed offshore wind farm area in the Gulf of Maine. A set of downscaling nesting and small time steps were implemented in the system to obtain the high spatial and temporal resolution output. Two extreme winter storm events were evaluated, during which wave and wind parameters met 1-year return and 50-year return estimations separately. Results show that wave parameters exhibit variations across different model configurations. Conversely, wind parameters demonstrate consistent good performance across different model configurations, exhibiting no significant differences among them. This study provides reference for researchers in selecting appropriate model configurations in offshore wind farm design and assessment taking into consideration factors such as computational resources and modeling objectives .
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the IAF-ICP - Digital Design and Optimisation for LNG and Offshore Wind
Grant Reference no. : I2101E0003