Mohammad Jamshidmofid received the Best Poster Award at ENAC Research Day 2025 for his poster entitled “An Analytical Approach to Modeling Wind Turbine Wake Dynamics.”
His award-winning poster presented his current doctoral research on analytical modeling of wind turbine wake dynamics, highlighting recent progress in developing physics-based descriptions of wake behavior in the atmospheric boundary layer. Using a super Gaussian velocity deficit formulation in the near wake and a Gaussian distribution in the far wake, together with a meandering model informed by the large-scale turbulent structures of the atmospheric boundary layer, the developed framework is capable of rapidly and reliably capturing wind turbine wake dynamics. This model provides a practical and computationally efficient tool for wind farm control and optimization, where fast and dependable wake predictions are essential.
