摘要 : We present an improved dynamic model to predict the time-varying characteristics of the far-wake flow behinda wind turbine. Our model, based on the FAST.Farm engineering model, is novel in that it estimates theturbulence generated... 展开 We present an improved dynamic model to predict the time-varying characteristics of the far-wake flow behinda wind turbine. Our model, based on the FAST.Farm engineering model, is novel in that it estimates theturbulence generated by convective instabilities, which selectively amplifies the inflow velocity fluctuations.Our model also incorporates scale dependence when calculating the wake meandering induced by thepassive wake meandering mechanism. For validation, our model is compared with FAST.Farm and largeeddysimulation (LES). For the mean flow, our model agrees well with LES in terms of the wake deficitand wake width, but the FAST.Farm model underestimates the former and overestimates the latter. For theinstantaneous flow, our model predicts well the wake-center deflection and turbulent kinetic energy, reducingthe discrepancies in the spectral characteristics by more than a factor of two relative to LES, depending onthe Strouhal number. By incorporating two key mechanisms governing the far-wake dynamics, our model canpredict more accurately the dynamic wake evolution, making it suitable for real-time calculations of windfarm performance. 收起