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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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position aims to conduct holistic modelling and analysis of integrated energy systems to reach optimal system performance while incorporating various sustainable energy infrastructures. Potential research
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chemistry of polyol binders (HTPB) and isocyanates for optimization of formulation (pot life) and product mechanical properties for application in solid rocket propellants. Due to the confidential and
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environmental conditions - Optimize material formulations for scalability and field deployment Candidate Requirements: We are seeking a highly motivated candidate with: - A background in civil engineering
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creating virtual replicas of physical homes, the project aims to monitor and optimize energy usage, personalize living environments, and strengthen security measures. This work requires a comprehensive
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to provide a synergistic temperature-AQ Early Warning System (EWS) for the UK, as a tool to mitigate such risk. It is an open research challenge and the candidate will be able to decide upon the most optimal
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. This PhD proposal aims to develop an integrated modelling-prediction-control framework that uses extreme-weather-aware AI to coordinate frequency stability, voltage control, optimal power distribution, and
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of manufacturing variation. Provide recommendations for process optimization and compensation strategies to improve repeatability and accuracy in high-performance applications. Funding Only Home students can apply
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assembly of foldamers often lack the mechanical properties required for their optimal performance as biomedical devices. Polymers have recently emerged as a promising class of materials for biomedical
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assessment, and forecasting its future states. Together, these technologies can significantly enhance safety, reliability, and design optimization to make hydrogen-powered aviation both viable and certifiable