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of their high energy efficiency and low pollutant emission. However, fuel cell technology is still in its early stage of development. Many scientifically challenging problems have to be solved in order to make it
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is needed to ensure continued operation of the system during periods of low radiation. This project will investigate the integration of solar energy and biogas to provide heat and electricity to a
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, including CCS and heat recovery. Biomass with CCS can be a net negative emissions source, so is gaining interest, but as a result, there is more variation in the fuels being used, from conventional wood
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advanced component technologies, next generation burners and heat integration schemes that do not currently exist, but which illustrate the potential for process improvements. Next-generation combustors
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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing
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the information theoretic measures involved in the operation and monitoring of the grid and characterize the information theoretic limits for state estimation. Funding Notes This is a self-funded research project
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing
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AI-enabled digital technologies for the resilient operation of power systems
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to CO2 capture schemes. This research project focuses on combining computational fluid dynamics (CFD) and process simulation tools to study in detail the performance of an amine capture post-combustion
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component on this journey and are already having significant impact in the manufacturing industries. Despite this, the implementation of machining Digital Twins has been slow due to the computational burden