| As the development of nearshore wind energy resources approaches saturation, the shift toward deep-sea wind power has become an inevitable trend. However, most mainstream commercial software is designed for fixed wind farms, and efficient methods capable of accurately predicting the power generation of floating wind farms are still lacking. To address this gap, this study draws on integrated CFD-based simulation approaches for floating wind turbines, employing simplified methods such as the wake model, Morison equation, and catenary equation to calculate aerodynamic, hydrodynamic, and mooring forces. A new calculation method for the power generation of floating wind farms is thus proposed. Using the NREL 5 MW wind turbine mounted on an OC4 semi-submersible platform as the research object, the reliability of the proposed method is validated through free-decay tests in calm water and motion tests under wind and wave conditions. Furthermore, the effects of wave height, wave period, and wind speed on the motion response and power generation of a three-turbine array are analyzed. The results show that wave height strongly affects the amplitude of surge and power generation curves, while wave period mainly influences their oscillation periods; wind speed, in turn, significantly impacts the mean values and curve amplitudes of both surge and power generation. Compared with high-fidelity CFD simulations, the proposed method substantially reduces computational demands, providing a scientific and practical tool for efficient prediction of power generation in multi-turbine floating wind farms. Moreover, its markedly higher computational efficiency meets the stringent timeliness requirements of engineering applications and establishes a solid technical foundation for layout optimization and motion control of floating wind farms. |
