The EPSRC Centre for Doctoral Training in Renewable Energy Northeast Universities (ReNU) is driven by industry and market needs, which indicate unprecedented growth in renewable and distributed energy to 2050. This growth is underpinned by global demand for electricity which will outstrip growth in demand for other sources by more than two to one (The drivers of global energy demand growth to 2050, 2016, McKinsey). A significant part of this demand will arise from vast numbers of distributed, but interconnected devices (estimated to reach 40 billion by 2024) serving sectors such as healthcare (for ageing populations) and personal transport (for reduced carbon dioxide emission). The distinctive remit of ReNU therefore is to focus on materials innovations for small-to-medium scale energy conversion and storage technologies that are sustainable and highly scalable. ReNU will be delivered by Northumbria, Newcastle and Durham Universities, whose world-leading expertise and excellent links with industry in this area have been recognised by the recent award of the North East Centre for Energy Materials (NECEM, award number: EP/R021503/1). This research-focused programme will be highly complementary to ReNU which is a training-focused programme. A key strength of the ReNU consortium is the breadth of expertise across the energy sector, including: thin film and new materials; direct solar energy conversion; turbines for wind, wave and tidal energy; piezoelectric and thermoelectric devices; water splitting; CO2 valorisation; batteries and fuel cells. Working closely with a balanced portfolio of 36 partners that includes multinational companies, small and medium size enterprises and local Government organisations, the ReNU team has designed a compelling doctoral training programme which aims to engender entrepreneurial skills which will drive UK regional and national productivity in the area of Clean Growth, one of four Grand Challenges identified in the UK Government's recent Industrial Strategy. The same group of partners will also provide significant input to the ReNU in the form of industrial supervision, training for doctoral candidates and supervisors, and access to facilities and equipment. Success in renewable energy and sustainable distributed energy fundamentally requires a whole systems approach as well as understanding of political, social and technical contexts. ReNU's doctoral training is thus naturally suited to a cohort approach in which cross-fertilisation of knowledge and ideas is necessary and embedded. The training programme also aims to address broader challenges facing wider society including unconscious bias training and outreach to address diversity issues in science, technology, engineering and mathematics subjects and industries. Furthermore, external professional accreditation will be sought for ReNU from the Institute of Physics, Royal Society of Chemistry and Institute of Engineering Technology, thus providing a starting point from which doctoral graduates will work towards "Chartered" status. The combination of an industry-driven doctoral training programme to meet identifiable market needs, strong industrial commitment through the provision of training, facilities and supervision, an established platform of research excellence in energy materials between the institutions and unique training opportunities that include internationalisation and professional accreditation, creates a transformative programme to drive forward UK innovation in renewable and sustainable distributed energy.

Angina is a symptom triggered by a lack of blood supply to the heart. Usually, angina is considered as being due to blockages in the main heart arteries, but angina may also occur due to problems with the small vessels (typically, as thin as a hair). In the UK, angina affects around 2 million people, at least one third of whom may have small vessel problems in the heart (microvascular angina (MVA)). The current medicines are used largely by trial and error since the available drugs were not specifically tested in patients with MVA. Microvascular angina is caused by abnormalities of the small vessels in the heart. The walls of the blood vessels become stiff or thicken and prone to spasm. These problems may limit blood supply to the heart causing anginal chest symptoms during exercise and at other times e.g. cold weather, emotional stress. Physical and psychological symptoms curtail daily activities and reduce quality of life for those affected. Endothelin is a small chemical that circulates in the blood and can accumulate in the blood and blood vessel walls in patients with MVA. Endothelin causes blood vessels to narrow or go into spasm, and thicken in the longer term especially when endothelin levels are increased in the blood. Endothelin works by acting on one of two pathways (A- or B) and it is the 'A' pathway that causes the blood vessel problems in the heart. Zibotentan is an endothelin A blocker. To our knowledge, zibotentan is the most selective blocker of the A pathway with no effects on the B pathway. Zibotentan had been developed as a treatment for cancer but it did not improve survival. Much is known about zibotentan and the safety profile is better than other endothelin blocker drugs. Zibotentan is given as a once daily dose of a single tablet (10 milligrams). Based on previous studies, the safety and potential benefits of zibotentan are well established for the 10 mg dose. Research in our University indicates that zibotentan relaxes the small blood vessels of patients with MVA which lends support to the idea that zibotentan may bring benefits to patients with MVA. What does the study involve? Patients with a diagnosis of MVA will be invited to participate. The eligibility criteria are: age >18 years, angina without blocked heart arteries, NHS test results that indicate a diagnosis of MVA, exercise limitation as revealed by a treadmill test. Patients who have exercise limitation due to non-cardiac health problems would not be eligible to take part. The study will take place in 4 hospitals across the UK. Initially, 356 patients will be invited to take part for a gene test (eligibility criterion), then 144 will then be enrolled into screening (<= 6 weeks), a 3 week 'run-in' phase to become familiar with the study medication, and finally 100 patients will progress into the main study to receive zibotentan or a dummy tablet (placebo). The main study involves two periods of 12 weeks, with zibotentan (10 mg daily) or a matched placebo. Patients and researchers will not know the type of tablet being taken. The hospital will provide a supply of the tablets for the duration of the study. Overall, there will be 5 visits over approximately 34 weeks. A health check will be performed at each visit, including a blood and a urine test, some quality of life questionnaires, and an exercise test. The patient will be guided and supported by trained staff on how to do the exercise test. Feedback from patients indicated an exercise test was preferable to an MRI heart scan, therefore, MRI is entirely optional. The MRI scanner is shaped like a large polo-mint, and by lying inside it, images of the heart and blood flow can be obtained whilst a drug called adenosine is given to relax the blood vessels. The MRI would be performed on 3 occasions. Favourable results in this study will support a 'next stage' grant application for a definitive study involving a longer treatment period eg. 6 - 12 months, and in a larger group of patient.

The UK has an international reputation for excellence in the aero-propulsion and power generation industry and is at the forefront of research into the underpinning aero-thermal science and technology. Through the current CDT in Gas Turbine Aerodynamics, the UK has also established itself as the global leader in graduate training in the field. But this sector is entering a period of accelerated change and market disruption. In aerospace, the continuing drive to reduce emissions is necessitating major architecture changes in jet engines as well as entirely new electrified concepts with integrated engine-airframe designs. In power generation, fast response and flexible operation gas turbines are required to support the increasing capacity of renewables. In addition, the traditional physical (experimental tests) and digital (computational simulation) worlds are merging with the advent of rapid multi-disciplinary design tools and additive manufacturing. The common thread in these challenges is the rapid increase in the rate of generation of data and the requirement for engineers to convert this information into innovative design changes. To maintain its leadership position, the UK must train a new generation of engineers with the skills needed to innovate in this data-rich environment. The new CDT in Future Propulsion and Power will train engineers with the Data, Learning and Design, and Systems Integration skills required by aero-thermal engineers of the future. Engineers will need to handle an unprecedented volume of Data from the latest multi-disciplinary simulations, experimental tests, or from real engines in the field. From this, engineers will need to distil Learning by a critical evaluation of the data, using AI and data science as appropriate, against hypotheses developed with reference to the underpinning aero-thermal science. The critical output from this Learning is improved Design, be that of a an individual component or process, or an Integrated System (e.g. electrically driven propulsor, urban air taxi, fast-response power generation). This set of coupled, aero-thermal focussed skills will be provided by the new CDT in Future Propulsion and Power. The Centre is a collaboration between three universities and four industry partners, each with complimentary expertise and skills, but with a shared vision to deliver a training experience that sets the global benchmark for Propulsion and Power education. The laboratories of the partner institutions have a track record of research leadership in turbomachinery aerodynamics (Cambridge), heat transfer (Oxford) and combustor aerodynamics (Loughborough). The new Master's course will use expertise from the three universities to train students in the underpinning aero-thermal science, in the experimental and computational data generation and critical evaluation, and in the process of aerodynamic design. Data Science training will be provided by Workshops delivered by the Alan Turing Institute and by researchers using advanced data analytics in the Centre's universities. The Industry Partners (Rolls-Royce, Siemens, Mitsubishi Heavy Industries and Dyson) are committed to defining, delivering and supporting the Centre (they will fund a minimum of 35 studentships). As well as providing a pathway for research projects to contribute to real products, the sponsoring companies also deliver bespoke industry courses to the students of the CDT; they provide a manufacturing, operation and Systems Integration context that only industry can offer. The Industry Partners will include data analytics (from R2 Data Labs - Rolls-Royce, and MindSphere/IoT - Siemens) in their industry courses. These companies, and others in related sectors in the UK, ensure a demand for the graduates of the new CDT with their unique, aerodynamics-focussed, Data, Learning and Design skill set.

We are witnessing huge global shifts towards cleaner growth and more resource efficient economies. The drive to lower carbon emissions is resulting in dramatic changes in how we travel and the ways we generate and use energy worldwide. Electrical machines are at the heart of the accelerating trends in the electrification of transport and the increased use of renewable energy such as offshore wind. To address the pressing drivers for clean growth and meet the increasing demands of new applications, new electrical machines with improved performance - higher power density, lower weight, improved reliability - are being designed by researchers and industry. However, there are significant manufacturing challenges to be overcome if UK industry is going to be able to manufacture these new machines with the appropriate cost, flexibility and quality. The Hub's vision is to put UK manufacturing at the forefront of the electrification revolution. The Hub will address key manufacturing challenges in the production of high integrity and high value electrical machines for the aerospace, energy, high value automotive and premium consumer sectors. The Hub will work in partnership with industry to address some common and fundamental barriers limiting manufacturing capability and capacity: the need for in-process support to manual operations in electrical machine manufacture - e.g. coil winding, insertions, electrical connections and wiring - to improve productivity and provide quality assurance; the sensitivity of high value and high integrity machines to small changes in tolerance and the requirement for high precision in manufacturing for safety critical applications; the increasing drive to low batch size, flexibility and customisation; and the need to train the next generation of manufacturing scientists and engineers. The Hub's research programme will explore new and emerging manufacturing processes, new materials for enhanced functionality and/or light-weighting, new approaches for process modelling and simulation, and the application of digital approaches with new sensors and Industrial Internet of Things (IoT) technologies.

It is now widely accepted that if current private car use trends continue then urban road networks will become increasingly unable to cope with the demand for travel, with existing traffic management techniques unable to achieve desired levels of both sustainability and safety. While much research effort has been directed towards this issue there has been a dichotomy between supply side solutions (for example flow responsive traffic signals) and demand side solutions (such as encouraging high occupancy vehicles and public transport use). The ultimate merging of these two approaches would result in signal priority being given based on an environmentally friendly vehicle occupancy scale (from hybrid/electric public transport at one end to single occupancy large engine cars at the other) with clear sustainability, economic and environmental benefits. The required real-time data sources and technologies to achieve this are only now beginning to be created however and forward looking research is now essential to shape the characteristics of these data sources and quantify the benefits which they facilitate. Since the introduction of demand responsive traffic signal control in the 1970s, urban traffic control (UTC) systems have attempted to optimise traffic signal stage lengths and stage orders based on real time traffic detector data. While much research has been carried out since this time to improve the optimality of the underlying algorithms however, the initial data source of inductive loop or above ground (e.g. infrared) detectors have remained fundamental to the operation of the system. In order to give the maximum opportunity for a set of traffic signals to react to approaching traffic, the detectors used to provide the input data for each arm of the junction are generally located as far upstream as possible often the exit stream from the upstream junctions. While this reliance on upstream detectors gives the greatest warning of approaching traffic it also means that the UTC system must make estimations of the stop line arrival times of vehicles, suffering from errors related to platoon dispersion and indeed the variable speed nature of urban driving. The development of GPS/Galileo technologies for individual vehicle positioning, accompanied by advances in wireless communications technologies however provides increasing opportunity to establish the position of vehicles not just at a single upstream detector location, but continuously along the approaching arm. This would provide the UTC systems with significant increased detail in relation to real-time traffic demand, allowing for more detailed stage adjustments and a transformation from the current discrete decision approach to one of continuous response to approaching demands.The focus of this research is therefore the creation of traffic signal control algorithms based on the real-time positions of individual vehicles and, through the creation of a simulation test bed, the quantification of the benefits in relation to the reductions (compared to existing signal control methods) in both delays and emissions that such an algorithm could achieve, a critical step towards achieving an environmentally and economically sustainable road transport system.