Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Modern energy systems are complex technical, social and economic endeavours formed through the assembly of a broad set of elements and shaped by the actions of many multiple actors including consumers, suppliers and regulators. While some gains can be achieved by optimising parts of these systems, significant reduction in energy demand is a major challenge requiring changes in behaviour from all the actors involved. In this proposal we wish to exploit the ability of digital technologies to monitor, model and represent the operation and effects of energy demand to promote changes in these systems. This is often realised through a set of actions and measures, commonly known as demand side management (DSM). Current approaches to DSM and reduction of energy demand, however, are often viewed entirely from the consumer's perspective, concentrating mostly on the importance of behavioural changes and the role of energy displays (or smart meters ) as main drivers of these changes. This emphasises only one part of modern and increasingly complex energy systems, which actually need to be understood in their entirety to ensure that changes will have both significant and sustainable impact. Accordingly, this proposal adopts an end-to-end approach to exploit digital technology to understand the overall energy supply system (from generation to transmission, distribution and utilisation), in which devised changes are targeted at the points of maximum impact and all involved system elements are fully optimised to reap the benefits of these changes.The ultimate aim of our research is to answer how the significant potential benefits of DSM can be maximised through the provision of a unified, versatile and affordable digital infrastructure that allows us to reason across a whole energy system and supports new ways to exchange information between dynamic multiscale DSM models. The expected outcome is access to, and presentation of, not just quantitative information (e.g. the amount of modified active/reactive power demands), but also qualitative information (e.g. what are the actual load mixes and load sectors responsible for the changes in demand and what are their definite effects) to all involved stakeholders. In particular, we wish to link the use of modern digital technologies, capable of impacting the behaviour of the consumers, with the ability to optimally respond to the resulting changes in energy demand. The project team brings together researchers with a background in ubiquitous computing, complex systems modelling and user centred development to work with researcher focusing of real world energy systems and energy economics. We will adopt a user driven approach to the design and development of a series of computational models and digital technologies working closely with consumers, energy supply companies and government bodies to explore a set of exciting state-of-the-art innovations based on low-cost sensing and display technologies. The project team has strong connections with key industrial, public sector and academic groups in UK and internationally, and these will be used to ensure that the proposed research will have maximum impact. Free access to any developed system to promote change, and a publicly accessible web site will be maintained for the dissemination of the results. We intend to make any software artefacts and device designs available via open source distribution through the Horizon DE Hub. We will build upon our existing public dissemination work to emphasise issues of ethics and societal impact as important features of this work.

Power Electronic Converters are key elements in many safety-critical, high-reliability, electrical systems working in uncertain and harsh environments. Examples include aerospace power supplies and servo converters, marine propulsion and traction drives, and offshore renewable energy generator systems. The traditional approaches to achieve high converter reliability are to de-rate the semiconductor devices and to include redundancy in the system configuration. These approaches can increase the Mean Time Between Failures of converters but will not prevent a catastrophic failure from happening. The aim of this research is to develop a new approach of monitoring the converter device degradation over a period of time and provide the ability to predict failures before they happen. The research will address the challenges of carrying out and understanding the results of key measurements in order to derive information about the internal state of the semiconductor devices in real-time operating conditions. The mechanisms leading to the aging and failure of the devices will be investigated, and a relationship between the device condition and its terminal characteristics established. Condition monitoring techniques will be based on converter terminal electrical signals, which are interpreted together with information about the thermal and load conditions of the converter system. Experiment, and computer modelling and simulation in the thermal, low frequency and high frequency electrical domains will be carried out to develop the condition monitoring techniques. The results will be valuable to device manufacturers, manufacturers of power electronic converters, and to the end users of such systems, particularly in critical applications.

Power Electronic Converters are key elements in many safety-critical, high-reliability, electrical systems working in uncertain and harsh environments. Examples include aerospace power supplies and servo converters, marine propulsion and traction drives, and offshore renewable energy generator systems. The traditional approaches to achieve high converter reliability are to de-rate the semiconductor devices and to include redundancy in the system configuration. These approaches can increase the Mean Time Between Failures of converters but will not prevent a catastrophic failure from happening. The aim of this research is to develop a new approach of monitoring the converter device degradation over a period of time and provide the ability to predict failures before they happen. The research will address the challenges of carrying out and understanding the results of key measurements in order to derive information about the internal state of the semiconductor devices in real-time operating conditions. The mechanisms leading to the aging and failure of the devices will be investigated, and a relationship between the device condition and its terminal characteristics established. Condition monitoring techniques will be based on converter terminal electrical signals, which are interpreted together with information about the thermal and load conditions of the converter system. Experiment, and computer modelling and simulation in the thermal, low frequency and high frequency electrical domains will be carried out to develop the condition monitoring techniques. The results will be valuable to device manufacturers, manufacturers of power electronic converters, and to the end users of such systems, particularly in critical applications.

The broad theme areas are Hydrogen and Fuel Cells, and the training will be interdisciplinary based on the skills and experience of the partners which range from Chemical Engineering (Prof Kendall), Chemistry (Prof Schroeder and Dr Anderson), Materials Science (Dr Book), Economics (Prof Green), Bioscience (Prof Macaskie), Applications (Dr Walker), Automotive and Aeronautics (Prof Thring) and Policy/Regulation (Prof Weyman-Jones). Training will also include industry supervision with the 23 companies which have signed up and overseas training with FZJ in Germany and University of Central Florida in the USA.There is an increasing demand for skilled staff in the field of Hydrogen and Fuel Cells, which at present has no dedicated UK centre for training, disseminating and co-ordinating with government bodies, industry and the public. This contrasts with the establishment of Forschungszentrum Julich (FZJ) in Germany, ECN in the Netherlands, and Risoe Laboratory in Denmark. Large companies such as Johnson Matthey, Rolls Royce and Air Products have substantial hydrogen and fuel cell projects, with hundreds of employed PhD level scientists and engineers. Recruitment has been a problem in recent years since only a handful of British universities carry out research in this area. But, most significantly, a large amount of private sector investment has now been injected, especially on the Alternative Investment Market (AIM) in London, such that support to SMEs such as Ceres Power, Intelligent Energy, Ceramic Fuel Cells Ltd, ITM, CMR and Voller has risen to several hundred million pounds, requiring hundreds of PhD recruits. Also, since the Joint Technology Initiative (JTI) has now been established in Europe, this 1bn Euro project will add to the very large research funding by organisations such as Siemens, GM, Renault, Ford, FZJ, EADS, CEA, Risoe, ECN etc. Several large centres for research and training exist in Europe, the USA and Japan and it is imperative that Britain increases its student output to keep pace.