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into the microgrid. The system needs to be optimised to deliver the lowest cost / kWh of delivered energy to the load, preferably comparable to that of a grid connection. The project runs alongside a large UKRI funded
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control boiling to operate safely. In boiling, the CHF identifies the highest reachable heat flux before a large drop in heat transfer efficiency, due to the heating surface becoming blanketed with vapour
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further information about the group’s work and publications at http://osbornelab.group.shef.ac.uk. Enquiries should be directed to Colin Osborne c.p.osborne@sheffield.ac.uk. Please apply for this project
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requiring significantly less interactive human feedback than current RLHF methods. To achieve this, the project will focus on extracting more information from uncertain, incorrect, and inconsistent human
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for materials formulation, processing, characterisation and performance assessment. More information on these facilities can be found at: · https://www.sheffield.ac.uk/royce-institute · https
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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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reconstructing peripheral neural responses using a large-scale spiking model of the nerve, while participants explore a variety of haptic stimuli. 2. To what extent is the structure of cortical somatotopic maps
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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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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