Electrical power systems are undergoing unprecedented and ever-increasing change that will increase the levels of complexity and uncertainty to unprecedented levels, particularly in GB. Ensuring secure, reliable and stable power system operation is clearly paramount; not only for "traditional" electrical loads, but to power telecommunications, water supply and sanitation, natural gas production and delivery, and for transportation. Social discomfort, economic disruption and loss of life can arise in cases of partial or full blackouts. Uncertainty and complexity will arise due to the prevalence of Renewable Energy Sources (RES). In GB, millions of intermittent small energy sources (not under the control of the system operator) may be connected to the electricity distribution system in future, as opposed to historical arrangements, where a much smaller number (100 or so) of large-scale generators, under the control of the system operator, were connected to the transmission system. Furthermore, energy storage, electric vehicles, heat pumps, HVDC interconnectors, "smart grids" and associated control systems, will all act to increase the complexity and unpredictability of, and possibly introduce chaos to, the system. Extreme weather events are on the increase empirically and with reliance on renewable sources (mostly from solar and wind), this could also increase risks associated with uncertainty, complexity and system operability. Internationally respected organisations such as the IEEE and CIGRE emphasise the increasing complexity of power systems and highlight problems with unpredictable and changing power system dynamics as challenges that might compromise security and could increase the risk of blackouts. They also highlight potential improvements in reducing these risks through enhanced monitoring, control, automation and special protection schemes. Prevention and mitigation of the risk of blackouts is essential and the focus of this proposal. Understanding the changing nature of system dynamics is fundamental to addressing this risk. This Fellowship is focused on investigating, understanding, defining and representing previously un-encountered dynamic phenomena that will be manifest in future power systems due to the aforementioned increases in complexity and uncertainty. Novel modelling, prediction and control tools and methodologies will be developed to ensure an accelerated path to stable, secure, reliable and cost-effective operation and enhance understanding. This research will lead to prototype applications and demonstration in the world-leading facilities available at the host institution. Ultimately, the main impact will be maximisation of the secure use of renewables and effective decarbonisation of the electricity system, through creating models and tools to enhance "operability" of electrical power systems and reduce blackout risk. The Fellowship will enable the candidate and his institution to be international leaders in this field, which impacts both society and the economy.

Electrical power systems are undergoing unprecedented and ever-increasing change that will increase the levels of complexity and uncertainty to unprecedented levels, particularly in GB. Ensuring secure, reliable and stable power system operation is clearly paramount; not only for "traditional" electrical loads, but to power telecommunications, water supply and sanitation, natural gas production and delivery, and for transportation. Social discomfort, economic disruption and loss of life can arise in cases of partial or full blackouts. Uncertainty and complexity will arise due to the prevalence of Renewable Energy Sources (RES). In GB, millions of intermittent small energy sources (not under the control of the system operator) may be connected to the electricity distribution system in future, as opposed to historical arrangements, where a much smaller number (100 or so) of large-scale generators, under the control of the system operator, were connected to the transmission system. Furthermore, energy storage, electric vehicles, heat pumps, HVDC interconnectors, "smart grids" and associated control systems, will all act to increase the complexity and unpredictability of, and possibly introduce chaos to, the system. Extreme weather events are on the increase empirically and with reliance on renewable sources (mostly from solar and wind), this could also increase risks associated with uncertainty, complexity and system operability. Internationally respected organisations such as the IEEE and CIGRE emphasise the increasing complexity of power systems and highlight problems with unpredictable and changing power system dynamics as challenges that might compromise security and could increase the risk of blackouts. They also highlight potential improvements in reducing these risks through enhanced monitoring, control, automation and special protection schemes. Prevention and mitigation of the risk of blackouts is essential and the focus of this proposal. Understanding the changing nature of system dynamics is fundamental to addressing this risk. This Fellowship is focused on investigating, understanding, defining and representing previously un-encountered dynamic phenomena that will be manifest in future power systems due to the aforementioned increases in complexity and uncertainty. Novel modelling, prediction and control tools and methodologies will be developed to ensure an accelerated path to stable, secure, reliable and cost-effective operation and enhance understanding. This research will lead to prototype applications and demonstration in the world-leading facilities available at the host institution. Ultimately, the main impact will be maximisation of the secure use of renewables and effective decarbonisation of the electricity system, through creating models and tools to enhance "operability" of electrical power systems and reduce blackout risk. The Fellowship will enable the candidate and his institution to be international leaders in this field, which impacts both society and the economy.

Many high-value manufactured components that are made in the UK are used in safety critical structures such as nuclear plants and aircraft engines. Such components must be checked periodically for the presence of flaws and other precursors to the component failing. This is performed at various stages in the lifetime of the component: at the manufacturing stage, periodically while the component is in service, and to assess the component for remanufacturing at the end of its lifetime. Components must be checked non-destructively, which is challenging; normally the component's design is not optimised to maximise the probability of detecting a flaw using non-destructive evaluation (NDE). The Engineering Design Challenge is to bring NDE considerations into the design engineer's virtual design toolbox. This project aims to enable design engineers to optimise the design of a given component such that they maximise their ability thereafter to test this component non-destructively for the presence of any flaws. Thus flaw-detectability will used as an additional design criterion. This will also help in remanufacturing as we will be more able to assess the integrity of used components. In this way we will improve society by having safer aircraft, nuclear plants and oil pipelines, improve the environment by having fewer wasted components and using less energy, and improve the UK economy by developing the UK's expertise in these high value sectors. The most common modality in non-destructive evaluation of these safety critical structures is ultrasound transducer imaging. The Centre for Ultrasonic Engineering (CUE) at the University of Strathclyde has extensive experience in the computer simulation and mathematical modelling of ultrasonic transducers and in their use in NDE. They are ideally placed to develop such a software platform. The University of Strathclyde also hosts the Scottish Institute for Remanufacture (SIR), so the project will utilise the research expertise in this area in conjunction with that of CUE. This project will enable CUE and SIR to form a new alliance with experimental design and tomographic imaging experts from the School of Geosciences at the University of Edinburgh. In the Geosciences, sophisticated imaging methods are used to image the Earth's subsurface, and design theory is developed to optimise imaging array geometries and methods. This combined capability will enable the joint project team to develop a virtual environment where techniques for designing and imaging the internal structures of safety critical components can be assessed and optimised.

Many high-value manufactured components that are made in the UK are used in safety critical structures such as nuclear plants and aircraft engines. Such components must be checked periodically for the presence of flaws and other precursors to the component failing. This is performed at various stages in the lifetime of the component: at the manufacturing stage, periodically while the component is in service, and to assess the component for remanufacturing at the end of its lifetime. Components must be checked non-destructively, which is challenging; normally the component's design is not optimised to maximise the probability of detecting a flaw using non-destructive evaluation (NDE). The Engineering Design Challenge is to bring NDE considerations into the design engineer's virtual design toolbox. This project aims to enable design engineers to optimise the design of a given component such that they maximise their ability thereafter to test this component non-destructively for the presence of any flaws. Thus flaw-detectability will used as an additional design criterion. This will also help in remanufacturing as we will be more able to assess the integrity of used components. In this way we will improve society by having safer aircraft, nuclear plants and oil pipelines, improve the environment by having fewer wasted components and using less energy, and improve the UK economy by developing the UK's expertise in these high value sectors. The most common modality in non-destructive evaluation of these safety critical structures is ultrasound transducer imaging. The Centre for Ultrasonic Engineering (CUE) at the University of Strathclyde has extensive experience in the computer simulation and mathematical modelling of ultrasonic transducers and in their use in NDE. They are ideally placed to develop such a software platform. The University of Strathclyde also hosts the Scottish Institute for Remanufacture (SIR), so the project will utilise the research expertise in this area in conjunction with that of CUE. This project will enable CUE and SIR to form a new alliance with experimental design and tomographic imaging experts from the School of Geosciences at the University of Edinburgh. In the Geosciences, sophisticated imaging methods are used to image the Earth's subsurface, and design theory is developed to optimise imaging array geometries and methods. This combined capability will enable the joint project team to develop a virtual environment where techniques for designing and imaging the internal structures of safety critical components can be assessed and optimised.

Coatings are key to the performance of most manufactured products and they contribute to sustainability by enhancing the efficiency and extending the life of the products that they protect, as well as by enabling the reduced use of scarce bulk materials. Coatings are a vital part of the nation's manufacturing industry, contributing to many sectors, including aerospace, energy, automotive, construction and healthcare. However, until now the UK coatings industry has been lagging behind compared to High Value Manufacturing sectors in terms of design, development, manufacture, and implementation into products, particularly in terms of the degree of digitalisation achieved. This project will develop intelligent coatings with new functionalities that can self-monitor during manufacture and in-service. The multidisciplinary team will use a suite of modelling tools, sensing technologies and experimental deposition and characterisation facilities at The University of Manchester, the University of Sheffield, Cranfield University, Queen's University Belfast and Swansea University to embed new sensor functionalities within coatings, using a variety of deposition processes. This EPSRC Exploratory Stream project will be a key step to address the challenges of digitalisation in the UK coatings manufacturing sector. The proposed research will assist UK PLC to develop manufacturing methods which are predictable, digital-enabled and more productive, providing a pathway to world-leading coating manufacturing processes. The research will support the coatings manufacturing industry to achieve best-in-class levels of High Value Manufacturing.