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  PhD Studentship in Modelling and Design of Redox Flow Energy Storage Systems


   School of Engineering

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  Prof A Martin  No more applications being accepted  Funded PhD Project (European/UK Students Only)

About the Project

Redox flow energy storage systems offer unique advantages over batteries and other devices because the charging and discharge processes are separated from the storage and even from each other. This flexibility in the design affords great opportunities for optimisation against a range of objectives such as, but not limited to, rapid opportunistic charging exploiting excess wind power to slow base load charging exploiting low demand night time periods. The configuration of the process equipment in conjunction with the electrochemistry leads to complex non-linear dynamics. In addition, start-up, shut-down and current reversal can impose chemical and physical stresses on components leading to excessive corrosion and failure.

Working with the redox flow research team in Energy Lancaster the successful candidate will investigate and develop models to describe the electrochemical and flow processes at a range of scales from the molecular to the complete process system. The work will be informed by current empirical research in electrolyte systems being carried out by the group. It is envisaged that the outputs of this work will inform many aspects of redox flow energy storage systems from a selection of electrolytes and the design and novel fabrication of electrolysers through process systems to the integration of systems with complementary storage technologies and grids.

Funding Notes

To be eligible for a studentship, the funding requirements are such that the candidate is either a UK citizen or an EU national. Applicants from outside UK/EU are welcome to apply, however, they will be required to demonstrate their ability to meet the difference between international and home tuition fees.

A first class or good 2:1 degree (or equivalent) in chemical engineering or a cognate discipline. Experience with computational modelling in one or more of the following fields is essential: Fluid flow, Process systems, chemical reactions, heat and mass transfer.