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Numerical Modelling of Energy Storage Systems

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  • Full or part time
    Dr J Radulovic
    Prof V Becerra
    Dr J Buick
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

Applications are invited for a fully-funded three year PhD to commence in October 2019.

The PhD will be based in the School of Mechanical and Design Engineering and will be supervised by Dr Jovana Radulovic, Professor Victor Becerra and Dr James Buick.

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

Project description

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, with an estimated 178 GW of capacity added in 2017. Solar energy and wind power 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 utilised 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 be investigated, as well as their suitability to be incorporated in smart grids and power electronics. You will have an opportunity to work alongside a team of experts, passionate about tackling energy challenges that industry and society are facing nowadays and develop new solutions and skills to benefit all.

General admissions criteria
You’ll need a good first degree from an internationally recognised university (minimum upper 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.

Specific candidate requirements
You should be fluent in numerical methods and/or programming. Strong background in thermodynamics and computational modelling is desirable.

How to Apply
We’d encourage you to contact Dr Jovana Radulovic ([Email Address Removed]) to discuss your interest before you apply, quoting the project code.

When you are 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.

If you want to be considered for this funded PhD opportunity you must quote project code ENGN4920219 when applying.

Funding Notes

Candidates applying for this project may be eligible to compete for one of a small number of bursaries available.

Successful applicants will receive a bursary to cover tuition fees for three years and a stipend in line with the RCUK rate (£14,777 for 2018/2019). The Faculty of Technology may fund project costs/consumables up to £1,500 p.a.

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