Numerical Modeling of Energy Storage Systems
Self-funded PhD students only
School of Mechanical and Design Engineering
Applications accepted all year round
This project is now closed. The details below are for information purposes only.
The work on this project will:
- develop a database of existing and novel approaches which provide a sustainable and environmentally friendly method for energy storage
- develop numerical models of promising storage devices identified from the database to enable the performance of the storage device to be fully understood in a range of operating conditions
- link the storage models to potential users, for domestic, residential and large scale applications
Worldwide energy demand is increasing by the minute. Diversification of energy production systems is urgently required, as ever more carbon emissions limits are imposed on conventional power systems. In recent decades, advances have been made to grow renewable energy production, with an estimated 178 GW of capacity added in 2017.
Solar energy and wind power continue to dominate the market, with new PV capacity reaching a record 98 GW in 2017. 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 used to model various energy systems, optimise their operation and design energy storage structures.
Mechanical (LAES, CAES, PHES) and thermal (phase change, low and medium temperature applications) energy storage systems will also be investigated, as will their suitability to be incorporated in smart grids and power electronics.
During this project, you'll have the opportunity to work alongside a team of experts who are passionate about tackling the energy challenges facing industry and society, and help develop new solutions and skills to benefit all.
- You'll need a good first degree from an internationally recognised university (minimum second class or equivalent, depending on your chosen course) or a Master’s degree in Engineering, Applied Mathematics or other relevant discipline
- In exceptional cases, we may consider equivalent professional experience and/or Qualifications
- English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0
- You should be fluent in numerical methods and/or programming.
- Strong background in thermodynamics and computational modelling is desirable.
How to apply
Please contact Dr Jovana Radulovic (email@example.com) to discuss your interest before you apply, quoting the project code.
When you're ready to apply, you can use our online application form and select ‘Mechanical and Design Engineering’ as the subject area. Make sure you submit a personal statement, proof of your degrees and grades, details of two referees, proof of your English language proficiency and an up-to-date CV.
Our ‘How to Apply’ page offers further guidance on the PhD application process.
Please note, to be considered for this self-funded PhD opportunity you must quote project code ENGN4920219 when applying.