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Multi-objective Optimisation of Hybrid Renewable Energy Systems

Project Description

In planning and sizing of hybrid energy systems the conflicting objectives cost and performance are to be optimised simultaneously via a multi-objective optimisation process [1-2]. A challenge in multi-objective optimisation of hybrid energy systems is the presence of uncertainties in the availability of renewable resources and the demand load. The aim of this project is to develop robust nondeterministic multi-objective optimisation methods that can be applied to both on-grid and standalone hybrid renewable energy systems comprising of various renewable conversion systems (wind turbine, solar PV, solar thermal, fuel cell and wave and tidal turbines) and storage/backup units (battery bank, thermal storage unit, electrolyser, super capacitors, and compressed air).

Candidates should have (or expect to achieve) a UK honours degree at 2.1 or above (or equivalent) in relevant engineering discipline (e.g. Renewable Energy, Mechanical, Electrical, Power, Civil/Structural) or Applied Maths.

Applicants must have a good background knowledge in renewable energy conversion systems and programming in MATLAB and be familiar with and willing to develop a strong background knowledge in engineering design methods and optimisation techniques during the course of their PhD study.


• Apply for Degree of Doctor of Philosophy in Engineering
• State name of the lead supervisor as the Name of Proposed Supervisor
• State ‘Self-funded’ as Intended Source of Funding
• State the exact project title on the application form

When applying please ensure all required documents are attached:

• All degree certificates and transcripts (Undergraduate AND Postgraduate MSc-officially translated into English where necessary)
• Detailed CV

Informal inquiries can be made to Dr A Maheri () with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Postgraduate Research School ()

Funding Notes

This project is advertised in relation to the research areas of the discipline of Engineering. The successful applicant will be expected to provide the funding for Tuition fees, living expenses and maintenance. Details of the cost of study can be found by visiting View Website. THERE IS NO FUNDING ATTACHED TO THIS PROJECT.


1. Maheri, Alireza (2014) A critical evaluation of deterministic methods in size optimisation of reliable and cost effective standalone Hybrid renewable energy systems. Reliability Engineering & System Safety, 130. pp. 159-174. ISSN 0951-8320

2. Maheri, Alireza (2014) Multi-objective design optimisation of standalone hybrid wind-PV-diesel systems under uncertainties. Renewable Energy, 66. pp. 650-661. ISSN 0960-1481

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