# Research areas

## CFD for solid oxide fuel cells

Computational fluid dynamics (CFD) have become a valuable tool for the development and analysis of fuel cells. The most commonly used CFD methods
are finite volume (FV) or finite element (FE) methods. In the framework of my PhD I develop a subroutine for the commercial finite volume solver fluent which
allows simulating fuel cells. The purpose of this work is to investigate fuel cell designs on a macroscopic level as well as stack designs. The subroutine
is capable of handling arbitrary geometries, the only requirement is that for each fuel cell there is one anodic fluid domain and one cathodic fluid domain
which are separated by a solid electrolyte domain. The polarisations can be computed in different ways, depending on the user input.

## Lattice Boltzmann methods

In fuel cells the anode and cathode layers adjacent to the electrolyte are made of a porous material.
The pore size can be as small as a couple of nanometres. When using a macroscopic model to simulate a fuel cell the heat
and mass transfer processes as well as the reactions have to be approximated. For this reason a lot of input data is needed
before a macroscopic fuel cell model can yield reliable results. Usually this data is provided by measurements and is often
hard to obtain. To increase the predictive capabilities of fuel cell models it is desirable to be able to replace the measure
d data with results of other simulations. In the case of the porous electrodes one possibility is to discretise the porous
geometry and determine the macroscopic properties such as permeability or effective heat transfer coefficient. Traditional
CFD methods like FV or FE are currently not suitable for the simulation of porous media since the complex geometry and the
associated boundary conditions are hard to discretise. A promising method seems to be the Lattice Boltzmann Method (LBM)
which allows a very simple implementation of boundary conditions. Until now a very basic LBM code has been written which
is capable to simulate incompressible isothermal Newtonian fluids at very low Reynolds numbers. The aim is to be able to
simulate multi-species, non isothermal environments.