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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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of distributed or decentralized forms of MPC (in which several MPC controllers are spread throughout the network and make control decisions independently) but this raises its own questions and challenges: where
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will enable the advanced monitoring and computing techniques of power systems, as well as to create a resilient control and operation for both energy network and distributed energy sources. This PhD
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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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flow are significantly increased across various new entities such as distributed energy sources. This will lead to additional information and communications requirements, as well as new information
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facing the UK’s programme of remediation and restoration of the Sellafield site, expected to be complete in the next century. The PUMaS hub will support ~20 PhD students along with research staff, creating
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booking the venue, ordering catering and audio-visual equipment, distributing papers, preparing agendas, taking minutes for a variety of meetings and following up on action points. Produce high quality
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Details The project will advance the accuracy of Computational Fluid Dynamics (CFD) models employed for predicting boiling heat transfer and particularly the Critical Heat Flux (CHF) in nuclear Pressurized
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.2016.486. [2] Thornton SF, Quigley S, Spence MJ, Banwart SA, Bottrell S, Lerner DN. Processes controlling the distribution and natural attenuation of dissolved phenolic compounds in a deep sandstone aquifer
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Computational Fluid Dynamics modelling of free surface flows over packing materials in a CO2 absorber School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof