Rapid Estimation Model for Wake Disturbances in Offshore Floating Wind Turbines

Rapid Estimation Model for Wake Disturbances in Offshore Floating Wind Turbines

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The precise wake model is crucial for Turmeric Tea accurately estimating wind farm loads and power, playing a key role in wake control within wind farms.This study proposes a segmented dual-Gaussian wake model, which is built upon existing dual-Gaussian wake models but places greater emphasis on the influence of initial wake generation and evolution processes on the wind speed profile in the near-wake region.The enhanced model optimizes the wake speed profile in the near-wake region and improves the accuracy of wake diffusion throughout the Home Medical Equipment entire flow field.Furthermore, the optimized dual-Gaussian wake model is utilized to estimate the power output and blade root vibration loads in offshore wind farms.Through comparative analysis of high-fidelity simulation results and actual measurement data, the accuracy of the optimized dual-Gaussian wake model is validated.

This approach offers high computational efficiency and provides valuable insights for load fluctuations and power estimation, thereby advancing the development of wake control strategies rapidly.