Aarhus University Seal / Aarhus Universitets segl

Flow Physics and Turbulence


Horns Rev offshore wind farm, Denmark. The wake interaction is visible in the fog. Courtesy: Vattenfall. Photographer is Christian Steiness.

The focus of our research is to develop and test improved numerical models to predict the complex interaction between turbulent flows and the environment, with emphasis on wind energy systems. Our research involves a combination of numerical modeling, which is based on large-eddy simulation (LES) and Reynolds-averaged Navier-Stokes (RANS) techniques, and theoretical development. Our current research includes:

  • Computational fluid dynamics (DNS/LES/RANS)
  • Wind farm modeling, optimization and control
  • Boundary-layer turbulence
  • Uncertainty quantification
  • Data-driven modeling

Open positions and student projects

Please contact me (abkar@eng.au.dk) if you are looking for a MS project. Some example projects are given below. Other projects, based on personal preferences can be discussed in person.

  • Project: Wind-farm modeling, optimization and control using CFD, analytical models and/or machine learning.
  • Project: CFD and data-driven modeling of fluid flow in pumps with application to Digital Twins.
  • Project: Optimizing the design and operation of flow meters using CFD.
  • Project: CFD simulations of airflow through idealized urban environments.
  • Project: Turbulence modeling using deep learning.
  • Project: Uncertainty quantification in CFD simulations of engineering problems.
  • Project: CFD simulations of wind flow in complex terrain (in collaboration with Siemens Gamesa).