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Computational modelling in renewable energy

Study level

PhD

Master of Philosophy

Honours

Faculty/Lead unit

Science and Engineering Faculty

Science and Engineering Faculty

Topic status

We're looking for students to study this topic.

Supervisors

Dr Emilie Sauret
Position
Senior Lecturer
Division / Faculty
Science and Engineering Faculty

Overview

Computational modelling is a key element of designing robust and efficient mechanical systems. This is particular true for renewable energy where efficiency improvements are key to develop new economically-viable technologies.

Research activities

In this project, multiple facets of renewable energy will be investigated using computational models, such as turbine design and optimisation, and metal foam heat exchangers.

Outcomes

The project will contribute to the development of advanced computational tools for turbine design and metal foam heat exchangers optimisation.

Skills and experience

The candidate will need to demonstrate a strong interest in computational modelling.

Background in fluid mechanics, fluid dynamics, heat and mass transfer, computer modelling, programming is preferable.

Keywords

Contact

Contact the supervisor for more information.