This project focuses on a radical change to chemical manufacturing with a view to effective step changes in environmental sustainability and in circularity of materials. We shall focus on the emerging electrochemical sector which is expected to grow strongly and within which there are many opportunities for the deployment of digital technologies to underpin system design and operation. In response to this call, we have united a cross-disciplinary team of leading researchers from three UK universities (Imperial College, Loughborough, and Heriot-Watt) to create a digital circular electrochemical economy. The chemical sector is a "hard to decarbonise" sector. Its high embedded carbon comes from two aspects: (1) the intensive energy use; and (2) the use of fossil feedstock. Therefore, the decarbonisation requires the substitution of both two with renewable energy (electrifying the chemical processes) and feedstock (e.g., H2O, CO2). We foresee a closer integration of the electrical energy system with the industrial chemistry system, with the former providing reducing energy formerly available in fossil fuels and which enables the processing of highly oxidised but abundant feedstocks. The intermittency of renewable electricity supply and the economic benefits of flexible processing and closer integration between these two sectors will give rise to opportunities for new digital technologies. These will enable improved design and operation of emerging electrochemical processing technologies and provide new pathways to chemical building blocks (e.g. olefins) and fuels. The integration of the sectors also provides opportunities for cost savings in the electrical system through improved flexibility and demand management. We propose three work packages (WP) to look at the challenges at different levels, and finally integrate as a whole solution: - WP1 Digital twins of key electrochemical operation units and processes. - WP2 Digitalisation of the value chain encompassing the integration between the chemical and electrical systems - WP3 Policy, Society and Finance, including business models to capture value generation opportunities from industrial integration

We are increasingly dependent on complex "smart" systems: cities, houses, vehicles, electricity grids and a myriad of connected 'things' gathering information and performing automated decision-making with or without a human in the loop. This is in part possible because of technological advances in sensing, actuation, computer hardware, networking and communication, which enable the harnessing, processing and analysis of vast volumes of data. Major advances in Automatic Control Engineering have provided the underpinning theory, methodology and practice needed to design and implement highly complex control and decision-making systems. Automatic control engineering continues to play a vital role in realising the government's long-term industrial strategy of raising productivity and earning power within the UK. Specifically, automatic control is a key enabling technology for all four major societal challenge themes identified in the 2017 UK Industrial Strategy: AI and Data, Clean Growth, Future Mobility and Aging Society and the specific challenge areas within each theme. Automatic control not only dramatically improves the productivity, efficiency, reliability and safety of a wide range of processes across all sectors, but also provides fundamental theory, methodologies and tools to further the understanding and enable discovery in other disciplines such as biology, medicine and social sciences. Whilst the UK led the First Industrial Revolution through the adoption of new technologies, including automation and control, today it lags behind its international competitors. This is evidenced in part by the slow productivity growth over the past decade, which is in sharp contrast to other economic indicators. It is argued that if the UK does not make a concerted effort to transition towards automation, it will miss a pivotal opportunity for growth, estimated to be worth more than £200 billion to the UK economy by 2030. For the UK to become a global leader in intelligent automation and leapfrog international competitors, it is vital that it consolidates its research leadership in automatic control engineering. The UK has a strong control engineering community of well over 1000 active researchers, and engineering practitioners spanning all career stages, which are represented at an international level by the UK Automatic Control Council (UKACC), the United Kingdom's National Member Organisation (NMO) of the International Federation of Automatic Control (IFAC), acting as an effective link between the UK and the international control communities. At the time of dramatic advances in automation, AI, sensing and computation technologies, in order to engage effectively with the UK Grand Challenge research agenda, avoid fragmentation of effort and to ensure control engineers are engaged from the outset with end-users or initiatives, there is a need for the UK control community to connect effectively with other academic and industry stakeholders, to develop a common research vision and strategy and to start addressing these challenges through ambitious pilot studies, paving the way for full-scale, high-impact grant proposals, novel groundbreaking research and knowledge transfer projects. The Automatic Control Engineering Network aims to drive forward the UK's research and international leadership in next-generation automation and control, by bringing together and connecting the country's expertise in automation, the internet-of-things, cybersecurity, machine learning and robotics, with industry stakeholders and the wider research communities working towards addressing the same pressing societal challenges. Through the creation of a Virtual Centre of Excellence in Automation and Control, the Network will ensure that the coordination of research efforts, industry engagement, training activities and resource sharing needed to address Grand Challenges, will continue beyond the end of the funding period.

The international offshore energy industry currently faces the triple challenges of an oil price expected to remain less than $50 a barrel, significant expensive decommissioning commitments of old infrastructure (especially North Sea) and small margins on the traded commodity price per KWh of offshore renewable energy. Further, the offshore workforce is ageing as new generations of suitable graduates prefer not to work in hazardous places offshore. Operators therefore seek more cost effective, safe methods and business models for inspection, repair and maintenance of their topside and marine offshore infrastructure. Robotics and artificial intelligence are seen as key enablers in this regard as fewer staff offshore reduces cost, increases safety and workplace appeal. The long-term industry vision is thus for a completely autonomous offshore energy field, operated, inspected and maintained from the shore. The time is now right to further develop, integrate and de-risk these into certifiable evaluation prototypes because there is a pressing need to keep UK offshore oil and renewable energy fields economic, and to develop more productive and agile products and services that UK startups, SMEs and the supply chain can export internationally. This will maintain a key economic sector currently worth £40 billion and 440,000 jobs to the UK economy, and a supply chain adding a further £6 billion in exports of goods and services. The ORCA Hub is an ambitious initiative that brings together internationally leading experts from 5 UK universities with over 30 industry partners (>£17.5M investment). Led by the Edinburgh Centre of Robotics (HWU/UoE), in collaboration with Imperial College, Oxford and Liverpool Universities, this multi-disciplinary consortium brings its unique expertise in: Subsea (HWU), Ground (UoE, Oxf) and Aerial robotics (ICL); as well as human-machine interaction (HWU, UoE), innovative sensors for Non Destructive Evaluation and low-cost sensor networks (ICL, UoE); and asset management and certification (HWU, UoE, LIV). The Hub will provide game-changing, remote solutions using robotics and AI that are readily integratable with existing and future assets and sensors, and that can operate and interact safely in autonomous or semi-autonomous modes in complex and cluttered environments. We will develop robotics solutions enabling accurate mapping of, navigation around and interaction with offshore assets that support the deployment of sensors networks for asset monitoring. Human-machine systems will be able to co-operate with remotely located human operators through an intelligent interface that manages the cognitive load of users in these complex, high-risk situations. Robots and sensors will be integrated into a broad asset integrity information and planning platform that supports self-certification of the assets and robots.

The urgent need for EV technology is clear. Consequently, this project is concerned with two key issues, namely the cost and power density of the electrical drive system, both of which are key barriers to bringing EVs to the mass market. To address these issues a great deal of underpinning basic research needs to be carried out. Here, we have analysed and divided the problem into 6 key themes and propose to build a number of demonstrators to showcase the advances made in the underlying science and engineering. We envisage that over the coming decades EVs in one or more variant forms will achieve substantial penetration into European and global automotive markets, particularly for cars and vans. The most significant barrier impeding the commercialisation EVs is currently the cost. Not until cost parity with internal combustion engine (ICE) vehicles is achieved will it become a seriously viable choice for most consumers. The high cost of EVs is often attributed to the cost of the battery, when in fact the cost of the electrical power train is much higher than that of the ICE vehicle. It is reasonable to assume that that battery technology will improve enormously in response to this massive market opportunity and as a result will cease to be the bottleneck to development as is currently perceived in some quarters. We believe that integration of the electrical systems on an EV will deliver substantial cost reductions to the fledgling EV market Our focus will therefore be on the two major areas of the electrical drive train that is generic to all types of EVs, the electrical motor and the power electronics. Our drivers will be to reduce cost and increase power density, whilst never losing sight of issues concerning manufacturability for a mass market.

The importance of international collaborations in research is recognised both by individual researchers and by institutions and government, with studies showing that the average impact of publications resulting from these collaborations is significantly higher than that of papers with national co-authorship. This collaborative project between leading academic groups in the UK and India addresses the purification operations used to manufacture biopharmaceuticals e.g. antibodies and hormones such as insulin. They are supported in this activity by four industrial partners selected to provide support to the analytical and manufacturing aspects (being leading companies in their respective areas) as well as to provide a route to transfer the findings of the research to practice. Many of the latest drugs are based upon proteins rather than traditional small molecules (e.g. antibiotics). These protein drugs are produced for the treatment of diseases such as cancer. Antibodies such as Herceptin dominate this market. The research collaboration described here is focused on the study of the performance of the core purification method used for the manufacture of biopharmaceuticals - chromatography. Specifically we seek understand the mechanisms which determine the manufacturing lifetime of this operation and can lead to changes in performance. This issue presents a major hurdle to manufacturers. They must establish a robust purification process with acceptable costs for production before seeking approval for such medicines from the regulatory agencies. Clearly problems leading to delays can lengthen the times before medicines can made available to patients. This can affect both manufacturers of new products and those seeking to compete at reduced costs and widen the availability of this class of medicines (products often termed biosimilars). In comparison to other areas of manufacturing, bioprocessing is unusual in several respects. Typical product quantities are small (~250 kg/year), but are manufactured to extremely high purity and quality specifications (impurities < 0.001%). The variability typically seen in these processes has led to extremely regulated manufacturing, whose dictum is that "the process is the product". No significant change can be made to a licensed manufacturing process without detailed and time-consuming review by the international regulatory authorities. Developing and validating a bioprocess for manufacture takes ~10 years at a cost of £800M. Development is often empirical, with little use of modelling compared to other manufacturing sectors. These unusual features emphasise the need for a more fundamental understanding of the bioprocess. This research programme is structured towards building mechanistic understanding of the events that lead to changes in chromatographic performance in the manufacturing setting. There is evidence for several mechanisms the first stage is to structure these into a series of proposed mechanisms. Following consultation and study of historical data from our industrial partners we will embark upon experimental studies. Here detailed analytical measurements are required to identify specific critical species that are associated with the root cause of the mechanism. The project is to be led by UCL in London and IIT in Delhi in collaboration with IIT Bombay and the University of Kent. These academic groups are supported by industrial partners; ABB, Dr Reddy's Labs, GE Healthcare, Genzyme, PerkinElmer and Regeneron.