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Modelling gas turbine based power generation system incorporating CCS technology School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin Hughes Application Deadline: Applications accepted all year...
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Next generation CCS technology for combined cycle gas turbine system School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin Hughes Application Deadline: Applications accepted all year round Details Carbon Capture...
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Novel gas diffusion layers and catalyst supports for proton exchange membrane fuel cells School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Prof Derek Ingham, Dr Kevin Hughes Application Deadline: Applications...
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Low cost, energy efficient biomethane production from landfill gas or biogas School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof W Nimmo, Prof Lin Ma Application Deadline: Applications accepted all year...
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High speed photography to investigate surface wear and fatigue in railway rail and wheel steels School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof D Fletcher Application Deadline: Applications accepted all year round Details A novel high speed photography...
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Experimental and Modelling Study of Amine Degradation in the Post-Combustion CO2 Capture Process School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin Hughes Application Deadline: Applications accepted all year...
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Fatigue and Fracture of Fibre Composites School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr C Pinna Application Deadline: Applications accepted all year round Details Aircraft manufacturers are now competing based on their aircraft’s fuel efficiency due to...
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the wind farm to reduce the turbine wake effects and maximize the wind farm power output. Advanced mathematical and computational fluid dynamics modeling techniques will be employed with supplementary
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of the aerodynamics of the turbine blades which have a significant impact on the efficiency of power generation, the level of noise produced and the durability of the wind turbine. Advanced computational fluid dynamics
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to Computational Fluid Dynamics (CFD) for the prediction of ash deposition inside power plant equipment under bio-CCS conditions. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry