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tested at laboratory scale. The research will benefit from the available experimental facilities including laboratory-scale digesters, excellent analytical facilities, expertise in the computer modelling
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the computer modelling of AD process kinetics, mass balance and operational strategies and links with industry through our collaborative work. Funding Notes 1st or 2:1 degree in Engineering, Materials Science
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, Dr SP Wilson Application Deadline: Applications accepted all year round Details Efficient coding models can successfully explain the emergence of different features detectors along the visual pathway
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of nonlinear systems. These methods will identify unstable states, design stabilizing or optimal controllers and compute invariant sets. There is scope here to combine traditional model-based methods with new
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/battery systems for distributed power generation. The balance of economics and performance of the system will be the main objective of the research. Computer modeling techniques will be employed in order to
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limited clearances. Sheffield has experimental faculties for arc exposure of contact wires, wear and fatigue testing. It is expected the project will make use of experimental and modelling routes
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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
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will then focus on the chemical kinetic behaviour of alkali salts at oxyfuel conditions using kinetic modelling techniques such as chemkin. Finally the project will couple chemical kinetic models
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tracking multiple objects by modelling the interactions between them in the presence of uncertainties, e.g. for the sensor characteristics and environment. A combination between Bayesian methods and
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we intend to understand what is the statistical structure of the electric grid that is coming, we need to confront the dynamism of the network and discard the widespread linearized static model