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on their surface. The principle is that the large hyperbranched polymers will prevent the core collapsing. As such, there will be a large space inside these systems, which will be capable of binding large
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Inflow generation for Large Eddy Simulation (LES) of the wind farms School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Lin Ma, Prof Mohamed Pourkashanian
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the large trillion-node simulations and in-depth fundamental physics studies. The specific objectives are: Develop a computer model for a multi-sub-channel domain using an advanced CFD approach, and use it to
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large eddy simulations (LES) to generate high fidelity data for the study the flow dynamics. The results will also be used as benchmark data for modelling tool development. Funding Notes 1st or 2:1 degree
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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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conditions. Then both the raw and torrefied biomass will be fired and compared in terms of gas emissions and ash compositions. Quantified data will be collected and analysed during the combustion. The outcomes
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chips and co-firing these two fuels) in terms of their carbon intensity and techno-economics, when used with and without CCS applications. A large-scale power facility will be modelled using the IECM and
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plants. This work will consolidate the large amount of theoretical research performed in this area and select the most practical systems. These will be optimised using calibrated AD process models and
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volatile fuels in large scale power plant furnaces which are used in some power plants. Significant issues exist with the efficient combustion of such coals using the traditional combustion technologies and