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Multiobjective Optimisation of Distributed Hybrid Renewable Energy Systems


   School of Engineering

  ,  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Distributed hybrid renewable energy systems are deemed to have a major role in energy transition. These systems comprise of various renewable conversion systems (e.g. wind turbine, PV, solar thermal, fuel cell and micro-hydro) and storage/backup units (e.g. battery bank, electrolyser/hydrogen, thermal storage unit). These systems can be standalone or connected to grid. Hybrid renewable energy systems have a wide range of applications from electrifying rural communities [1] to hydrogen production [2] to providing electrical and heating/cooling demand for industry [3]. Multi-objective optimisation and multi-criteria assessment and decision making is an indivisible part of the design and planning of hybrid energy systems. In planning and sizing these systems the conflicting objectives cost and performance are to be optimised simultaneously via a multi-objective optimisation process [4, 5].

The aim of this project is to develop a robust multi-objective optimisation method that can be applied to both on-grid and standalone hybrid renewable energy systems comprising of wind turbine, PV panels, solar thermal heating units, fuel cell, micro-hydro, battery bank, thermal storage unit, and electrolyser. The developed design optimisation method then will be implemented in the specialised software tool MOHRES [6] and will be employed to conduct a number of design case studies with focus on supplying electrical power for green hydrogen production, electric vehicles charging stations, off-grid rural communities, small industries,  and supplying combined heating/cooling and electrical demand loads for net-zero energy buildings. 

Selection will be made on the basis of academic merit. The successful candidate should have, or expect to obtain, 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.

APPLICATION PROCEDURE:

Formal applications can be completed online: https://www.abdn.ac.uk/pgap/login.php

• 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, Personal Statement/Motivation Letter and Intended source of funding

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 PhD project has no funding attached and is therefore available to students (UK/International) who are able to seek their own funding or sponsorship. Supervisors will not be able to respond to requests to source funding. Details of the cost of study can be found by visiting View Website

References

1. Kahwash, F., Maheri, A., Mahkamov, K. 2021, ‘Integration and Optimisation of High-Penetration Hybrid Renewable Energy Systems for Fulfilling Electrical and Thermal Demand for Off-grid Communities’, Energy Conversion and Management, vol. 236, 114035.
2. Rughoo, D., Somanah, R., Maheri, A., Althani, M. H. A. 2021, ‘Opportunity of Hydrogen Production in Renewable Power Plants: Case of Island of Mauritius’. 6th International Symposium on Environment Friendly Energies and Applications. IEEE Explore.
3. Bokah, A., Maheri, A. 2021, ‘An Algorithm for Load Planning of Renewable Powered Machinery with Variable
Operation Time’. 6th International Symposium on Environment Friendly Energies and Applications. IEEE Explore.
4. Maheri, A. 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.
5. Maheri, A. 2014, ‘Multi-objective design optimisation of standalone hybrid wind-PV-diesel systems under
uncertainties’. Renewable Energy, 66. pp. 650-661.
6. Maheri, A. 2021, ‘MOHRES, a Software Tool for Analysis and Multiobjective Optimisation of Hybrid Renewable Energy Systems: An Overview of Capabilities’. 6th International Symposium on Environment Friendly Energies and Applications. IEEE Explore.

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