The precise wake model is crucial for accurately estimating wind farm loads and power, playing a key role in wake control within wind farms.This study proposes a segmented ORG STEVIA TOFFEE 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 entire flow field.Furthermore, the Racquet Sports - Shoes - Mens 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.