UNIVERSITY OF ICELAND
Research
Fluid Dynamics, Energy & Intelligent Computing
Experimental turbulence
Investigating strained turbulent flows and particle dynamics through laboratory experiments and Lagrangian particle tracking. These measurements provide a foundation for studying turbulent velocity, acceleration and energy spectra.
Related work: specified mean strain rate turbulent flow and particle dynamics
Computational fluid dynamics & numerical modeling
Numerical approaches to fluid flow, transport and engineering systems, including CFD and lattice Boltzmann methods. High-performance computing connects detailed physical models with demanding computational workloads.
Particle-laden & multiphase flows
Understanding the motion of inertial particles in turbulent environments, including Lagrangian descriptions and applications to leading-edge erosion.
Related work: stagnation-point simulation in particle-laden turbulent flow
Energy systems
Wind speed and turbine power forecasting, wind-farm assessment, photovoltaic temperature and efficiency, heat transfer and turbomachinery.
AI, control & HPC
Data-driven and physics-informed learning, sequential models, advanced control and scalable computing for fluid and energy applications.
A connected research workflow
Measure
Experimental observations and particle trajectories.
Model
Physical equations and computational simulations.
Learn
Intelligent models informed by physical insight.