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Application Deadline: Applications accepted all year round Details Computational Wind Engineering has been developed rapidly over the last decades. Among the numerical techniques, Large Eddy Simulation (LES) is
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, the certification is very expensive mainly due to the number of experimental tests required. A potential way to reduce costs is to use modelling and simulation. The problem is that modelling
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-CCS or BECCS) is already recognized as a potential option to tackle climate change in most scenarios, as it is linked to the concept of negative CO2 emissions. This project will use process simulation
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, predictive modelling and simulation will be carried out to assess delamination in cross-ply carbon fiber epoxy laminates. This research will benefit from excellent computing facilities, expertise in computer
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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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assessment tools for simulating gas turbine based power generation system employing different CCS technologies. Plant process simulation software packages, such as the gPROMs and Aspen will be employed with
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finite element modelling to simulate the deformation of microstructures, novel crack propagation simulation techniques and scale-transition algorithms. The model will be informed and validated using full
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. This would reduce both system efficiency and durability. An advanced Computational Fluid Dynamics model will be developed in order to simulate the formation of aerosol, and the process of deposition of fine
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phase numerical chemical kinetic models which can be incorporated into process system simulation models of the post-combustion capture process such as Aspen. Funding Notes 1st or 2:1 degree in Engineering
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of simulating cutting forces online resulting in no commercially available Digital Twin that can automatically control the machining process in real time. Addressing this problem, our vision aspires to equip