Liu, X, Zhang, X, Xing, X, Kang, CW, S. G. Raghavan, V, Nguyen, VT, & Li, J. "Evaluation of Offshore Wind Power Production in Extreme Wind Conditions." Proceedings of the ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. Volume 7: Ocean Renewable Energy. Singapore, Singapore. June 9–14, 2024. V007T09A061. ASME. https://doi.org/10.1115/OMAE2024-136473
Abstract:
Offshore wind energy plays a key role in the transition to renewable energy sources. With the growing interest and installations of offshore wind farms, a deeper understanding of how extreme wind conditions in the coastal area impact power production becomes essential. According to the working regimes of a wind turbine, wind energy production can be affected or disrupted by extreme atmospheric events particularly when facing specific thresholds such as below the cut-in wind speed, reaching the rated output speed and exceeding the cut-off wind speed. Given that these wind thresholds might all occur during extreme wind events, accurately calculating power production capacity during a coastal extreme atmospheric event becomes critical to assess wind farm availability.
In order to evaluate the power production at a proposed offshore wind farm site during an extreme wind event, this study utilized a coupled atmosphere-wave-ocean modelling system (COAWST) comprising fully coupled configuration (ROMS-SWAN-WRF) to represent the complex meteo-oceanographic conditions along US east coast area: Gulf of Maine.
The selection of the fully coupled configuration was based on its superior performance, validated through comparison with various buoy observations. Subsequently, the study compared the gridded wind power production from different wind turbine configurations during an extreme winter storm event. Power production was computed separately based on each turbine model’s power curve and thrust curve. Assessing the spatial and temporal variations in power production capacity among different turbine model configurations during this extreme winter event in this study not only advances the understanding of wind assessment over the Gulf of Maine but also provides invaluable insights for researchers into advantages of employing more advanced meteo-oceanographic modelling system, such as COAWST, in offshore wind farm industry.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the IAF-ICP - Digital design and optimization for LNG and Offshore wind
Grant Reference no. : I2101E0003