PhD: Multiscale Modelling for Energy Storage Devices with Smart Shapes and Intelligent Functions


This is a unique research opportunity for a motivated student to undertake research that spans across the disciplines of energy engineering and computational sciences. The successful candidate will join the Birmingham Centre for Energy Storage (School of Chemical Engineering, University of Birmingham). The Centre has a strong record in fundamental and applied research in energy storage, conversion, transportation, renewable energy systems and next generation technologies for energy demand reduction.

Energy storage, both thermal and electrical, will transform the way we produce, convert and use energy in the future. It is however crucial to design storage devices capable to deliver optimal functions such as fast charging and discharging, high power density and manufacturability (e.g. 3D printing). Traditional modelling and optimisation tools often fail to appropriately predict multiphysics coupled phenomena (thermal, electrical and mechanical) and to capture the necessary links between properties, structure and performance, leading to thermal/electrical batteries without the desired performance, reliability and functions.

In this project we aim to develop and connect computational methods (e.g. CFD, computational heat&mass transfer, computational chemistry, etc.) with advanced optimisation methods (e.g. shape/topology optimisation) to develop and test innovative configuration performance of energy storage devices (thermal and/or flow batteries) with smarter and more intelligent performances.

Further details and apply here.