Personal details
Title | Various Topics in GPU-resident High-fidelity Wind Farm Simulations |
Description | Modelling the interaction of wind turbines with the atmospheric boundary layer and the wakes of upstream turbines is of crucial importance for almost all engineering aspects of wind power development. Computational fluid dynamics (CFD), in particular Large-eddy simulation (LES), can provide valuable insights of the underlying flow phenomena. However, LES using classical numerical approaches typically comes at an immense computational cost that limits the use of the method significantly. Over the past decade, modern graphics processing units (GPUs) and the development of suitable numerical approaches like the Lattice Boltzmann Method (LBM) have enabled significant performance gains for LES, and even facilitated the use of LES in the industrial practice. In the AG TWiSt, we develop and investigate a specific LBM-LES framework for various applications in wind energy. In this field, we can offer various topics for Bachelor or Master theses. Depending your interest, the thesis can revolve around the development and implementation of new model capabilities, computational optimizations of the existing solver, or the use of the framework in its current state (involving less coding) for validation studies or investigations of various wind physics. |
Home institution | Institute of Physics |
Type of work | practical / application-focused |
Type of thesis | Master's degree |
Author | Dr. Henrik Asmuth |
Status | available |
Problem statement | |
Requirement |
You should be at the end of your Masters's degree in physics, engineering, computational science (or comparable), highly motivated and have a great interest in numerical simulation and wind energy. Prior coding experience in C++/CUDA and Python are a merit but not mandatory. |
Created | 08/03/23 |