The UK composites sector has the potential to grow from £2.3Bn to £12Bn by 2030, driven by demand for light weight, energy efficient structures across sectors including aerospace, automotive, marine and renewable energy. In addition to economic considerations, the growth of composites manufacturing is also key to meeting the Government's Net Zero targets through, for instance, increased deployment of UK manufactured wind turbines. The UK has world leading research capability in composites manufacturing focussed on design, process innovation, novel and sustainable material combinations and modelling tools. Instrumentation to support this research community, by monitoring composites manufacturing processes, has fallen behind and this will potentially hinder the realisation of the full value of current research activities. Researchers and manufacturers need better data about the complex mechano-thermo-chemical processes which occur during resin infusion and curing in order to improve yield, reduce waste and speed the introduction of new component designs and material combinations. We have demonstrated that fibre optic sensors, are able to monitor individual key process parameters of resin flow front position and velocity and degree of curing, as well as temperature and strain, in real time at many measurement points. However, to make a useable instrument, where multiple measurands are extracted, it is necessary to use heterogeneous combinations of co-located sensors with appropriate signal processing to disaggregate the desired information. We will adopt combinations of Fibre Bragg Grating sensors to monitor temperature and strain with Long Period Gratings to monitor resin motion and refractive index and hence degree of curing. In order to address the cross sensitivity of these sensors, we will adopt sophisticated signal processing techniques to disaggregate measurements and extract the desired measurands in a form appropriate to users. In addition, sensors need to be encapsulated and connected in a manner which makes them easy to handle and deploy. We will develop packaging solutions and mesh configurations which provide robustness. We will seek to develop this technology into a cost effective instrument which can be used by scientists and engineers, who are not photonics experts, but who seek to gain better understanding of the complex but critical processes which occur during composite manufacture.

This project develops new sensing technology for use in power electronic systems, helping the UK to better compete with global leaders in power electronics. Power electronics is a key electrification technology: it is needed in electric vehicles, renewable energy generation, our electricity grid, and anywhere where the flow of power needs to be accurately dosed. This dosing is carried out by rapidly switching currents on and off to create the desired average. This technology reduces our carbon footprint and contributes nearly £50bn per year to the UK economy and supports 82,000 skilled jobs in over 400 UK-based companies (2016 data). The power electronics industry is undergoing significant change, as ultra-fast transistors made from silicon carbide (SiC) or gallium nitride (GaN) have recently emerged, to replace silicon transistors. These new transistors switch 10x faster, which results in 75% less energy being lost in power converters, and enables converters to be shrunk to less than half their previous size. This makes it much easier to build them into other systems, e.g. electric vehicles, resulting in lighter cars with more space for batteries. This project is about helping to maximise the potential of the new transistors. Many companies are struggling to adopt them, because whilst the very fast switching provides the benefits of improved efficiency and radically smaller system size, it also creates problems with electromagnetic interference, and device and system reliability. The transistors switch current on or off so fast (in less than ten nanoseconds, the time it takes light to travel 3 meters), that engineers cannot accurately measure how the voltages and currents change during this time, even with their best equipment, which means it is difficult to fix problems such as interference. Because of this, even the leading companies are slowing down these new transistors, and losing some of their efficiency potential. Our project develops small, low-cost sensors, that make these nanosecond-scale changes visible. They will allow engineers to see exactly how the transistors are switching, helping them develop better, smaller, lighter, and more reliable power electronics. They will allow computer-controlled SiC and GaN power converters to sense when they are creating too much electromagnetic noise, and reduce this by switching more intelligently. It will allow power circuits to detect external short circuits and isolate these before they damage the power converter. We are also developing sensors that provide engineers, or control systems, directly with information that they need (e.g. device temperature), rather than having to infer this indirectly from volts and amps, making the measurements faster and more efficient. The sensors work by detecting electric or magnetic fields via coils, conductive plates, or antennas. The received signal is fed into a chip inside the sensor that computes the required parameter. These new SiC and GaN transistors have made small field sensors on circuit boards viable for the first time, because as signal speeds increase, the wavelengths of these signals become shorter (cm-scale), meaning that their fields can be picked up with millimetre-size coils or antennas. In order to ensure that we develop what industry needs, we are working with 12 partners across automotive, renewable energy, semiconductors, commercial R&D organisations with deep sector experience, and we are accepting new collaborators on request. Our project provides partners and other UK companies and universities with sample sensors. Their feedback, and discussions with partners helps us prioritise our research, and ensures that we are using our research funds to solve the most important problems. We are providing workshops to help keep engineers up-to-date with advanced measurement techniques, and keeping our results online (publications and a dedicated website) for companies to use as desired.

Increased energy storage storage is needed on the electrical network to support high levels of variable renewable electricity such as wind and solar to enable us to reach our net-zero goals. The UK network currently has 5.3GW of energy storage of which 1.3GW is battery energy storage and this is expected to grow by at least 8GW by 2030. However, this alone does not meet the estimated required capacity, we therefore need to use the storage that we have optimally, for example, the location of storage and when we use it is critical to avoid congestion on the network. We also need to promote the installation of different types of storage that can operate over different time scales so that for example excess generation in one season can be used in the next. The aim of the project is to determine how different distributed energy storage assets, of different sizes and technologies, can be integrated into the grid as part of a whole-system solution to enable adaptability, flexibility and resilience. The project will investigate where and how assets are connected to the grid, how they are controlled and what policies and market conditions are required to meet our storage requirements. The research will be carried out across 5 collaborating institutions with the work underpinned by experiments using operational grid-scale storage demonstrators operated within the consortium. The outputs will include: - Recommendations for optimal planning and scheduling of distributed storage under different policy and market conditions including incentives/regulation of locational deployment - The impacts of different levels of coordination of distributed storage across location, scale, and markets - Demonstrations of practical, scalable solutions for the coordinated control of storage assets and other sources of flexibility - A roadmap that describes the decision points and options for the energy system as distributed energy storage grows according to different scenarios to 2035.

The production, storage, distribution and conversion of hydrogen is a rapidly emerging candidate to help decarbonise the economy. Here we focus on its role to support the integration of offshore renewable energy (ORE), a topic of increasing importance to the UK given the falling costs of offshore wind generation (with prices expected to drop to 25% of 2017 by 2023) and Government ambition. Indeed, the latest BEIS scenarios include more than 120 GW of offshore wind, and even up to 233GW in some scenarios. This brings with it significant challenges to the electricity infrastructure in terms of our ability to on-shore and integrate these variable energy flows, across a wide range of timeframes. Current ORE plants composed of fixed offshore wind structures are sited relatively close to land in shallow water and use systems of offshore cables and substations to transform the electricity produced, transmit it to the shore and connect to the grid. However, in order to exploit the full renewable energy potential and requirements for the 2050 net zero target, offshore wind farms will need to be sited further offshore and in deeper waters. This brings possibilities into consideration in which transporting the energy to shore via an alternative vector such as hydrogen could become the most attractive route. Hence we consider both on-shore and off-shore hydrogen generation. Not only can hydrogen be an effective means to integrate offshore wind, but it is also increasingly emerging as an attractive low carbon energy carrier to support the de-carbonisation of hard to address sectors such as industrial heat, chemicals, trucks, heavy duty vehicles, shipping, and trains. This is increasingly recognised globally, with significant national commitments to hydrogen in France, China, Canada, Japan, South Korea, Germany, Portugal, Australia and Spain in the last three years alone, along with the recent launch of a European hydrogen strategy, and the inclusion of hydrogen at scale in the November 2020 UK Government Green plan. Most of the focus of these national strategies is on the production of 'green' hydrogen using electrolysis, driven by renewable electricity. However, there remains interest in some countries, the UK being one example, in 'blue' hydrogen, which is hydrogen made from fossil fuels coupled with carbon capture and storage and hence a low carbon rather than zero carbon hydrogen. Today, 96% of hydrogen globally is produced from unabated fossil fuels, with 6% of global natural gas, and 2% of coal, consumption going to hydrogen production, primarily for petrochemicals, contributing around 830 million tonnes of carbon dioxide emissions per year. Currently green hydrogen is the most expensive form of hydrogen, with around 60-80% of the cost coming from the cost of the electrical power input. A critical factor that influences this is the efficiency of the electrolyser itself, and in turn the generator used to convert the green hydrogen back into power when needed. In this work we focus on the concept of a reversible electrolyser, which is a single machine that can both produce power in fuel cell mode, and produce hydrogen in electrolyser mode. Electrolysers and fuel cells fall into one of two categories: low-temperature (70-120C) and high temperature (600-850C). While low temperature electrolyser and fuel cell systems are already commercially available, their relatively low combined round-trip efficiency (around 40%) means that the reversible solid oxide cell (rSOC), which can operate at high temperatures (600-900C) is of growing interest. It can achieve an electrolyser efficiency of up to 95%, power generation efficiency of up to 65%, and hence a round-trip efficiency of around 60% at ambient pressure using products now approaching commercial availability. This project considers the development and application of this new technology to the case of ORE integration using hydrogen.