This proposal is for a new EPSRC Centre for Doctoral Training in Wind and Marine Energy Systems and Structures (CDT-WAMSS) which joins together two successful EPSRC CDTs, their industrial partners and strong track records of training more than 130 researchers to date in offshore renewable energy (ORE). The new CDT will create a comprehensive, world-leading centre covering all aspects of wind and marine renewable energy, both above and below the water. It will produce highly skilled industry-ready engineers with multidisciplinary expertise, deep specialist knowledge and a broad understanding of pertinent whole-energy systems. Our graduates will be future leaders in industry and academia world-wide, driving development of the ORE sector, helping to deliver the Government's carbon reduction targets for 2050 and ensuring that the UK remains at the forefront of this vitally important sector. In order to prepare students for the sector in which they will work, CDT-WAMSS will look to the future and focus on areas that will be relevant from 2023 onwards, which are not necessarily the issues of the past and present. For this reason, the scope of CDT-WAMSS will, in addition to in-stilling a solid understanding of wind and marine energy technologies and engineering, have a particular emphasis on: safety and safe systems, emerging advanced power and control technologies, floating substructures, novel foundation and anchoring systems, materials and structural integrity, remote monitoring and inspection including autonomous intervention, all within a cost competitive and environmentally sensitive context. The proposed new EPSRC CDT in Wind and Marine Energy Systems and Structures will provide an unrivalled Offshore Renewable Energy training environment supporting 70 students over five cohorts on a four-year doctorate, with a critical mass of over 100 academic supervisors of internationally recognised research excellence in ORE. The distinct and flexible cohort approach to training, with professional engineering peer-to-peer learning both within and across cohorts, will provide students with opportunities to benefit from such support throughout their doctorate, not just in the first year. An exceptionally strong industrial participation through funding a large number of studentships and provision of advice and contributions to the training programme will ensure that the training and research is relevant and will have a direct impact on the delivery of the UK's carbon reduction targets, allowing the country to retain its world-leading position in this enormously exciting and important sector.

Tidal currents are known to have complex turbulent structures. Whilst the magnitude and directional variation of a tidal flow is deterministic, the characteristics of turbulent flow within a wave-current environment are stochastic in nature, and not well understood. Ambient upstream turbulent intensity affects the performance of a tidal turbine, while influencing downstream wake formation; the latter of which is crucial when arrays of tidal turbines are planned. When waves are added to the turbulent tidal current, the resulting wave-current induced turbulence and its impact on a tidal turbine make the design problem truly challenging. Although some very interesting and useful field measurements of tidal turbulence have been obtained at several sites around the world, only limited measurements have been made where waves and tidal currents co-exist, such as in the PFOW. Also, as these measurements are made at those sites licensed to particular marine energy device developers, the data are not accessible to academic researchers or other device developers. Given the ongoing development of tidal stream power in the Pentland Firth, there is a pressing need for advanced in situ field measurements at locations in the vicinity of planned device deployments. Equally, controlled generation of waves, currents and turbulence in the laboratory, and measurement of the performance characteristics of a model-scale tidal turbine will aid in further understanding of wave-current interactions. Such measurements would provide a proper understanding of the combined effects of waves and misaligned tidal stream flows on tidal turbine performance, and the resulting cyclic loadings on individual devices and complete arrays. The availability of such measurements will reduce uncertainty in analysis (and hence risk) leading to increased reliability (and hence cost reductions) through the informed design of more optimised tidal turbine blades and rotor structures. An understanding of wave-current-structure interaction and how this affects the dynamic loading on the rotor, support structure, foundation, and other structural components is essential not only for the evaluation of power or performance, but also for the estimation of normal operational and extreme wave and current scenarios used to assess the survivability and economic viability of the technology, and to predict associated risks. The proposal aims to address these issues through laboratory and field measurements. This research will investigate the combined effect of tidal currents, gravity waves, and ambient flow turbulence on the dynamic response of tidal energy converters. A high quality database will be established comprising field-scale measurements from the Pentland Firth, Orkney waters, and Shetland region, supplemented by laboratory-scale measurements from Edinburgh University's FloWave wave-current facility. Controlled experiments will be carried out at Edinburgh University's FloWave facility to determine hydrodynamic loads on a tidal current device and hence parameterise wave-current-turbulence-induced fatigue loading on the turbine's rotor and foundation.

The development of tidal stream energy presents a significant opportunity for the UK with a power generation potential in excess of 6GW nationally, and greater than 150GW globally. Delivering on net-zero and climate change objectives will require development and exploitation of all renewable energy resources to provide a robust and secure energy supply. The predictability of the tidal resource is a key benefit that can substantially contribute to resilient energy networks and complement less predictable renewable energy sources, e.g. wind, wave and solar. The UK currently leads tidal stream technology and science development, and there is significant opportunity to ensure global leadership of this exciting emerging sustainable energy sector. To date, the largest tidal device installed is 2MW and the largest array of devices is 6MW in Orkney and Pentland Firth respectively. Device technologies, marine infrastructure, deployment, and operational strategies have all been refined through industrial research, design and deployment at testing sites, assisted by university partnerships. The challenge now faced by the industry is to understand how to deliver tidal stream energy at a scale that will make a meaningful energy contribution. The solution hinges on the ability to deliver reliable, sustainable, scalable and affordable engineering solutions. The engineering challenge is complex and multi-faceted, and the importance of and sensitivity to design drivers are not always well understood. CoTide's research vision is to develop and demonstrate holistic integrated tools and design processes for tidal stream energy that will significantly reduce costs by removing unnecessary redundancy and improving confidence in engineering solutions, providing the transformative engineering processes and designs that will enable tidal energy to make a significant contribution to achieving climate change objectives by 2030-40. CoTide brings together three major university multi-disciplinary teams, each with deep world-leading expertise across the major engineering disciplines essential for the design of tidal stream devices. These include device hydrodynamics, composites and rotor materials, structures and reliability, metocean resource and environmental modelling, system control and optimisation. The constituent engineering design capabilities will be integrated towards addressing the big questions facing tidal stream energy developers through a unified control co-design process. Through this holistic approach, CoTide will not only develop the framework to assess the impact of design drivers and design decisions but will contribute fundamental understanding of unsteady rotor loads and means to control and resist these, how to use contemporary and emerging manufacturing methods to benefit cost and through-life reliability in addition to maximising the potential of digitalisation for optimal performance. With input from its Independent Advisory Board, the Programme resources will be periodically reviewed, adapted and refocused to concentrate on the research challenges that emerge from our research, the tidal energy sector and policy space, and that offer the best opportunities to support industry cost reduction pathways. As CoTide evolves, in addition to its core skills, the partners have a significant breadth of additional expertise to draw upon, with world leading capabilities in complementary areas within offshore renewable energy. CoTide is an ambitious but realistic programme that has the scale, academic gravitas, and resource to achieve innovation through addressing transformative design questions. Through its co-design framework, considering the full scope of interconnected engineering challenges and environmental factors, it will deliver the understanding, tools and data to support the progressive and step change reductions in cost and uncertainty needed to deliver scalable, sustainable and affordable tidal stream energy.

Developing renewable energy such as tidal turbines requires in-depth assessment of a potential project site to understand suitability, potential energy production as well as impact on the environment. The exploitability of a site is mainly assessed by a combination of extensive field surveys with numerical modelling, which is expensive. Due to budget limitations, critical financial and technical decisions are made on a restricted sample of data leading to high level of risk and uncertainties. Here we aim to mitigate the issue of data scarcity by fusing established tidal flow analysis techniques with machine learning tools. The new tool will 'learn', from verified gauge data, the best way to temporally extend short-duration spatial survey data to make maps of tidal potential that can directly inform either more spatially targeted surveying, or assessments for optimal siting of tidal stream devices. The tool aims to make surveying potential sites cheaper by targeted adaption of the survey campaign and more robust analysis of the data than is currently practiced. This is a proof-of-concept study. The outcomes include assessing whether the tool has sufficient commercial merit to be developed further via a NERC follow-on call.

This project will undertake the research necessary for the remote inspection and asset management of offshore wind farms and their connection to shore. This industry has the potential to be worth £2billion annually by 2025 in the UK alone according to studies for the Crown Estate. At present most Operation and Maintenance (O&M) is still undertaken manually onsite. Remote monitoring through advanced sensing, robotics, data-mining and physics-of-failure models therefore has significant potential to improve safety and reduce costs. Typically 80-90% of the cost of offshore O&M according to the Crown Estate is a function of accessibility during inspection - the need to get engineers and technicians to remote sites to evaluate a problem and decide what remedial action to undertake. Minimising the need for human intervention offshore is a key route to maximising the potential, and minimising the cost, for offshore low-carbon generation. This will also ensure potential problems are picked up early, when the intervention required is minimal, before major damage has occurred and when maintenance can be scheduled during a good weather window. As the Crown Estate has identified: "There is an increased focus on design for reliability and maintenance in the industry in general, but the reality is that there is a still a long way to go. Wind turbine, foundation and electrical elements of the project infrastructure would all benefit from innovative solutions which can demonstrably reduce O&M spending and downtime". Recent, more detailed, academic studies support this position. The wind farm is however an extremely complicated system-of-systems consisting of the wind turbines, the collection array and the connection to shore. This consists of electrical, mechanical, thermal and materials engineering systems and their complex interactions. Data needs to be extracted from each of these, assessed as to its significance and combined in models that give meaningful diagnostic and prognostic information. This needs to be achieved without overwhelming the user. Unfortunately, appropriate multi-physics sensing schemes and reliability models are a complex and developing field, and the required knowledge base is presently scattered across a variety of different UK universities and subject specialisms. This project will bring together and consolidate theoretical underpinning research from a variety of disparate prior research work, in different subject areas and at different universities. Advanced robotic monitoring and advanced sensing techniques will be integrated into diagnostic and prognostic schemes which will allow improved information to be streamed into multi-physics operational models for offshore windfarms. Life-time, reliability and physics of failure models will be adapted to provide a holistic view of wind-farms system health and include these new automated information flows. While aspects of the techniques required in this offshore application have been previously used in other fields, they are innovative for the complex problems and harsh environment in this offshore system-of-systems. 'Marinising' these methods is a substantial challenge in itself. The investigation of an integrated monitoring platform and the reformulation of models and techniques to allow synergistic use of data flow in an effective and efficient diagnostic and prognostic model is ambitious and would allow a major step change over present practice.