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Dynamic Optimisation of Hybrid Renewable Energy Systems

Project Description

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 [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 classical deterministic optimisation methods fall short of including these uncertainties in analysis. On the other hand, the common drawback of nondeterministic methods is that they rely on time-consuming stochastic analysis. This makes nondeterministic optimisation, in which thousands of objective evaluation is required to find the optimum solution, highly time-consuming. The aim of this project is to develop a robust nondeterministic multi-objective optimisation method for size optimisation of hybrid systems. Using MATLAB programming a software tool will be developed for carrying out case studies towards

The successful candidate should have (or expect to achieve) a minimum of 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. Research in Hybrid Renewable Energy Systems requires having and developing background knowledge in different disciplines. Applicants either must have a good background knowledge in renewable energy conversion systems 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, OR, must have a sound background in design and optimisation and be familiar with renewable energy conversion systems.

Knowledge of:

Essential: Renewable energy conversion systems or optimisation techniques

• Engineering design methods
• Stochastic analysis
• Programming in MATLAB


Formal applications can be completed online: You should apply for Degree of Doctor of Philosophy in Engineering, to ensure that your application is passed to the correct person for processing.


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

There is no funding attached to this project, it is for self-funded students only.


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

How good is research at Aberdeen University in General Engineering?

FTE Category A staff submitted: 38.60

Research output data provided by the Research Excellence Framework (REF)

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