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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
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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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on and closely linked to existing research on the aerodynamics of the wind turbines. Advanced computational fluid dynamics modeling techniques will be employed to analyse the aerodynamic response
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and computational modelling. A failed pitch bearing raceway will be destructively investigated to characterise the surface and subsurface damages using optical microscopy (OM) and scanning electron