Self-funded PhD opportunities

Mathematical and numerical modelling of energy storage systems

  • Application end date: Saturday 1 July 2017
  • Funding Availability: Self-funded PhD students only
  • Department: School of Engineering
  • PhD Supervisor: Jovana Radulovic and Branislav Vuksanovic

World-wide energy demand is increasing by the minute. The need for diversification of the energy production systems is additionally augmented by conventional power systems being under increased scrutiny due to more stringent limits on carbon emissions. In recent decades advances have been made to grow renewable energy production capacity. Solar energy and wind power dominate the market, with nearly 150GW of renewable electricity coming online in 2015. Energy storage technologies have great potential for supporting renewable energy systems as they can be deployed at different scales. The utilisation of energy storage technologies vary across the industry, with a number of novel systems still being in developmental stages.

This project will investigate existing and novel energy storage technologies to be paired with renewable and alternative energy production systems. Computational and mathematical tools will be utilised to model various energy systems, optimise their operation and design energy storage structures. Mechanical (compressed air, PHES) and thermal (phase change, high temperature applications) energy storage systems will be investigated, as well as their suitability to be incorporated in smart grids and power electronics. You will have an opportunity to work with alongside team of experts, be passionate about tackling energy challenges that industry and society are facing nowadays and develop new solutions and skills to benefit all.

How to Apply:

To apply or make an enquiry, please visit postgraduate research: Engineering

Applications should use our standard application forms and follow the instructions given under the ‘Research Degrees’ heading on the following webpage:

When applying please note the project code ENGN3430217

Funding notes:

Home/EU applicants only. Please use the online application form and state the project code and studentship title in the personal statement section.

A successful applicant with hold a 1st or upper 2nd degree in engineering, applied mathematics or other relevant discipline and would be fluent in Matlab. Strong background in thermodynamics and computational modelling tools is desirable.

References to recent published articles:

1. Benedikt Kölsch, Jovana Radulovic “Utilisation of diesel engine waste heat by Organic Rankine Cycle”, Applied Thermal Engineering, Volume 78, 2015

2. Jovana Radulovic “Exergetic Analysis of Waste Heat ORC”, Proceedings of the 12th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics