Xing, Xiuqing, Zhang, Xiaoqin, Kang, Chang Wei, Liu, Xuan, Lim, Chin Lee, Nguyen, Vinh Tan, and Venugopalan S. G. Raghavan. "Wake Flow Study for a 10MW Semi-Submersible Floating Offshore Wind Turbine with CFD and OpenFAST." Paper presented at the The 34th International Ocean and Polar Engineering Conference, Rhodes, Greece, June 2024
Abstract:
In this study, the wake flow of a 10MW semi-submersible floating offshore wind turbine has been studied using Computational Fluid Dynamics (CFD) and OpenFAST. RANS with k-ω turbulence model is employed to carry out the full-scale FOWT simulations. Given the absence of wake flow data from model tests, the CFD and OpenFAST models are validated by comparing the turbine thrusts and six DOF motions with model test data. Our wake flow investigation involved a network of monitoring points positioned at varying distances from the wind turbine, spanning from -1D to 12.5D, with D representing the turbine diameter. The outcomes from the CFD and OpenFAST simulations show a similar pattern of velocity reduction behind the turbine and subsequent recovery downstream in the wake flow. However, some variances in terms of recovery distance and velocity at monitoring positions are observed. This comparative analysis will be adopted in customizing a wake flow model for the 10MW floating offshore wind turbine for optimizing the design of the wind farm layout to maximize the wind farm power output.
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