PhD Title - Wind Turbine Wake Analysis And Modelling
Wind farm performance is a highly parametric problem that depends on complex flow field interactions. At the same time, an accurate prediction method for wind farm performance is essential for the design and placement of wind turbines, and could drive down the LCOE.
High fidelity CFD along with turbine representation methods will be used to model flow past a single turbine as well as multiple turbines at different layouts, generating a database of flow field data. Various physics will be considered and represented (ie vertical flow shear, viscous interactions etc). Flow field deconstruction methods such as POD will be employed to identify the dominant physical processes of the collected flow field data. The identified leading order physics will be used to develop new wake merger and Lagrangian evolution models and algorithms.
Email - firstname.lastname@example.org
Start Date - October 2019
Degree - Integrated Master in Mechanical Engineering, National Technical University of Athens
Industrial Link - E.ON Climate & Renewables