E.S. Politis

TL;DR: In this article, the authors compare different types of models from computational fluid dynamics (CFD) to wind farm models in terms of how accurately they represent wake losses when compared with measurements from offshore wind farms.

TL;DR: In this article, compositional fluid dynamic (CFD) methods are used to predict the power production from entire wind farms in complex terrain and to shed some light into the wake flow patterns.

TL;DR: In this article, the authors present research conducted in the Flow workpackage of the EU funded UPWIND project which focuses on improving models of flow within and downwind of large wind farms in complex terrain and offshore.

TL;DR: In this article, a Navier-Stokes solver was used for wind turbine wake prediction under neutral and stable atmospheric conditions, and the effect of wind turbine wakes on power prediction was evaluated with comparison with existing wake measurements.

TL;DR: In this paper, the authors used advanced vortex and computational fluid dynamics models to provide improved insight into the complex flow phenomena and rotor aerodynamics caused by the sheared inflow in megawatt turbines.