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September 2024 - 1 January 2025. Background Wind turbines now generate more than a quarter of UK electricity. They are at the forefront of the bid to replace existing fossil-fuel plant and generate additional
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Improved physical modelling techniques for new high capacity floating offshore wind turbines DoS: Dr Martyn Hann ([email protected] , tel.: +44 1752 586130) 2nd Supervisor: Dr Sanjay
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and reliability of offshore wind turbines through advanced digital twin and machine learning technologies. This project will investigate existing digital twin and machine learning models and find
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delivering optical temperature measurements that are applicable to aerospace gas turbines. Successful temperature measurement would provide vital information about the state of the reaction zone to support
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systems for floating offshore wind turbines, including novel mooring lines and anchors. Floating offshore wind energy holds immense potential for harnessing clean and renewable energy and reach the net zero
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for the decarbonisation of aviation. This European research project focuses on hybrid electric propulsion systems, integrating fuel cells and gas turbines. The successful candidate will join a world-class research group
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with hydrogen-powered gas turbine propulsion systems. Your primary task will be to develop an advanced Model Predictive Controller for novel gas turbines integrated with solid oxide fuel cells
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for the decarbonisation of aviation. This is a European research project for the development of hybrid electric - fuel cell and gas turbine propulsion systems. The successful candidate will join a diverse, world class
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strategies for solid oxide fuel cell and hydrogen powered gas turbine propulsion systems for the decarbonisation of aviation. The researcher will work on the development of advanced Model Predictive Controller
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PhD project at Loughborough University . Our projects focus both on the detail of key technologies and on the integrated nature of the gas turbine as a whole. This programme will teach the skills, and