Wind turbines clustered in wind farms are influenced by the wake of other turbines located upstream. Consequently, downstream wind turbines have a lower power production due to the velocity deficit and suffer from higher fatigue loading induced by the increased turbulence. Therefore, a deeper understanding of the physical nature of wake flows and an accurate estimation of wake effects are essential in optimizing wind farm layouts. In addition, wind farm control through coordinating individual pitch or yaw control operations across wind turbines has shown great promise in mitigating wake losses and reducing fatigue loading.

Wind turbine wake modelling is still a challenge, as wind farm flows are influenced not only by ambient environment factors, including atmospheric turbulence, local topography, thermal stratification, low-jets, and the Coriolis force, but also by turbine operation conditions. Recent advancements in both field measurement technologies, numerical simulation techniques, and artificial intelligence approaches provide new possibilities in the advanced modelling of turbine wakes and their further application to wind farm system optimization and control.

The aim of this Special Issue is to gather new research on the development of novel wind turbine wake models and their application in different fields of wind farm optimization. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

• Numerical simulation of turbine wakes
• Engineering wake models
• Artificial intelligence-based wake models
• Topographic effects
• Thermal stability effects
• Coriolis force effects
• Wind farm flow modeling
• Wind farm power maximization
• Wind farm layout optimization
• Farm flow control
• Turbulence intensity management
• Turbine fatigue load reduction