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  A micro radial turbine design optimization for wasted energy recovery application.


   School of Science, Engineering and Environment

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  Dr Amir Nourian, Dr Ali Bahr Ennil  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Information on this PhD research area can be found further down this page under the details about the Widening Participation Scholarship given immediately below.

Applications for this PhD research are welcomed from anyone worldwide but there is an opportunity for UK candidates (or eligible for UK fees) to apply for a widening participation scholarship.

Widening Participation Scholarship: Any UK candidates (or eligible for UK fees) is invited to apply. Our scholarships seek to increase participation from groups currently under-represented within research. A priority will be given to students that meet the widening participation criteria and to graduates of the University of Salford. For more information about widening participation, follow this link: https://www.salford.ac.uk/postgraduate-research/fees. [Scroll down the page until you reach the heading “PhD widening participation scholarships”.] Please note: we accept applications all year but the deadline for applying for the widening participation scholarships in 2024 is 28th March 2024. All candidates who wish to apply for the MPhil or PhD widening participation scholarship will first need to apply for and be accepted onto a research degree programme. As long as you have submitted your completed application for September/October 2024 intake by 28 February 2024 and you qualify for UK fees, you will be sent a very short scholarship application. This form must be returned by 28 March 2024. Applications received after this date must either wait until the next round or opt for the self-funded PhD route.

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Project description: Small scale distributed power cycle can play a major role in wasted energy recovery and improve the use of renewable energy sources. There is a potential in developing small scale power generation cycle for more friendly environmental operation with less fossil fuel consumption. The development of small power cycle requires improving the design of all the relevant components to achieve cost effective and efficient operation. The main challenge associated with the development of the distributed power cycle is the design of efficient small-scale turbine due to high profile loss.

This project aims to improve the deign of small radial turbine by optimising the blade profile for design and off deign conditions using computational fluid dynamics. In this study, 1 D mean line modelling will be used for preliminary design phase and different loss prediction approaches will be investigated to achieve the most efficient blade profile. The design optimisation will be conducted using multi-objective genetic algorithm and Computational Fluid Dynamic. The design will be followed by full cycle parametric study to investigate the overall efficiency of the cycle.

Engineering (12)

References

[1] Bahr Ennil, A. (2017). Optimization of small-scale axial turbine for distributed compressed air energy storage system, University of Birmingham.
[2] Quoilin, S.; Declaye, S.; Tchanche, B.F.; Lemort, V. Thermo-economic optimization of waste heat recovery Organic Rankine Cycles. Appl. Therm. Eng. 2011, 31, 2885–2893.
[3] Lecompte, S.; Huisseune, H.; Van den Broek, M.; Vanslambrouck, B.; De Paepe, M. Review of organic Rankine cycle (ORC) architectures for waste heat recovery. Renew. Sust. Energ. Rev. 2015, 47, 448–461.
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 About the Project