The increasing demand for low and zero carbon buildings in the UK has provided significant challenges for the energy intensive materials we currently rely on. At present somewhere between 20% and as much as 60% of the carbon footprint of new buildings is attributable to the materials used in construction; this is predicted to rise to over 95% by 2020. If the UK is to meet agreed 80% carbon reduction targets by 2050 it is clear that significant reductions in the embodied carbon of construction materials is required. What also seems clear is that current materials and systems are not capable of delivering these savings. The drive for an 80% reduction in carbon emissions, a decreasing reliance on non-renewal resources and for greater resource efficiency, requires step changes in attitude and approach as well as materials. Improvement in construction systems, capable of providing consistently enhanced levels of performance at a reasonable cost is required. Modern developments in construction materials include: eco-cements and concretes (low carbon binders); various bio-based materials including engineered timber, hemp-lime and insulation products; straw based products; high strength bio-composites; unfired clay products utilising organic stabilisers; environmentally responsive cladding materials; self healing materials; smart materials and proactive monitoring; hygrothermal and phase change materials; coatings for infection control; ultra thin thermally efficient coatings (using nano fillers); ultra high performance concretes; greater use of wastes; and, fibre reinforcement of soils. However, very few of these innovations make the break through to widespread mainstream use and even fewer offer the necessary step change in carbon reductions required A low carbon approach also requires novel solutions to address: whole life costing; end of life (disassembly and reuse); greater use of prefabrication; better life predictions and longer design life; lower waste; improved quality; planned renewal; and greater automation in the construction process. As well as performance, risk from uncertainty and potentially higher costs other important barriers to innovation include: lack of information/demo projects; changing site practices and opposition from commercial competitors offering potentially cheaper solutions.. A recent EPSRC Review has recognised the need for greater innovation in novel materials and novel uses of materials in the built environment. The vision for our network, LIMES.NET, is to create an international multi-disciplinary community of leading researchers, industrialists, policy makers and other stakeholders who share a common vision for the development and adoption of innovative low impact materials and solutions to deliver a more sustainable built environment in the 21st Century. The scope of LIMES.NET will include: adaptive and durable materials and solutions with significantly reduced embodied carbon and energy, based upon sustainable and appropriate use of resources; solutions for retrofitting applications to reduce performance carbon emissions of existing buildings and to minimise waste; climate change resilient and adaptive materials and technologies for retrofitting and new build applications to provide long term sustainable solutions. In recognition of their current adverse impacts and potential for future beneficial impacts, LIMES.NET will focus on bringing together experts to develop pathways to solutions using: renewable (timber and other plant based) construction materials; low-impact geo-based structural materials; cement and concrete based materials; innovative nano-materials and fibre reinforced composites. Through workshops and international visits the network will create a roadmap for multidisciplinary research and development pathways that will lead to high quality large research proposals, and an on-going virtual on-line centre of excellence.

Mankind faces great challenges in providing sufficient supplies of renewable energy, in protecting our environment, and in developing benign processes for the chemical and pharmaceutical industries. These urgent problems can only be solved by applying the best available technology, but this requires a solid foundation of fundamental knowledge created through a multidisciplinary yet focussed approach. Catalysis is an essential enabling technology because it holds the key to solving many of these problems. CASTech aims to build on the science and engineering advances developed in previous collaborative programmes involving the main participants. Specifically, new core competencies for the investigation of reactions in multiphase systems will be developed. These will include MR imaging techniques (University of Cambridge, UCam); computational fluid dynamics (UCam); spectroscopic methods (QUB); SSITKA (QUB); flow visualisation and particle tracking (PEPT) (University of Birmingham, UBir); theoretical calculations (University of Virginia, UVa; QUB) for liquid phase processes. An enhanced time resolution fast transient and operando spectroscopy capability will be developed for investigating the mechanisms and the nature of the active sites in heterogeneous catalytic gas phase reactions (QUB). These core competencies will be applied to investigate the activation of saturated alkanes, initially building on our recent success in oxidative cracking of longer chain alkanes.We propose to develop our experimental and modelling capabilities with the objective of providing quantitative data on how to enhance the performance of a catalytic system by understanding and controlling the interaction between the solvent(s), the substrates and the catalyst surface. We aim to be able to describe the structure of liquids in catalytic systems at multiscale from the external (bulk) liquid phase to inside the porous structure of the catalyst and at the catalyst surface. The research will integrate new experimental probes and complementary theoretical approaches to help us understand liquid structures and we will use this information in collaboration with our industrial partners to address specific technical challenges.Bio-polymeric materials, e.g. cellulose and lignin, have the potential to provide functionalised building blocks for both existing and novel chemical products. Our ultimate aim is to provide novel and economically viable processes for the conversion of lignin into high value-added products. However, by starting with the conversion of lignosulphonates into vanillin and other higher value chemicals we will develop not only new processes but also the core competencies required to work with more complex fluids.Biogas (CH4 + CO2) can be produced from many different renewable sources but capturing and storing the energy is difficult on a small distributed scale. We propose to investigate a new, economic, down-sized engineering approach to the conversion of methane to dimethylether. This will be achieved by reducing the number of unit operations and developing new catalysts capable of performing under the more extreme temperature conditions that will be required to make the process economic.The drive to use catalysts for cleaner more sustainable chemistry needs also to address the inherently polluting and unsustainable process of catalyst manufacture itself. We will investigate the sustainable production of supported catalysts using electrochemical deposition of the metal. This method bypasses several conventional steps and would generate very little waste. In all these Grand Challenges there will be close collaboration between all the academic and industrial groups.

Mankind faces great challenges in providing sufficient supplies of renewable energy, in protecting our environment, and in developing benign processes for the chemical and pharmaceutical industries. These urgent problems can only be solved by applying the best available technology, but this requires a solid foundation of fundamental knowledge created through a multidisciplinary yet focussed approach. Catalysis is an essential enabling technology because it holds the key to solving many of these problems. CASTech aims to build on the science and engineering advances developed in previous collaborative programmes involving the main participants. Specifically, new core competencies for the investigation of reactions in multiphase systems will be developed. These will include MR imaging techniques (University of Cambridge, UCam); computational fluid dynamics (UCam); spectroscopic methods (QUB); SSITKA (QUB); flow visualisation and particle tracking (PEPT) (University of Birmingham, UBir); theoretical calculations (University of Virginia, UVa; QUB) for liquid phase processes. An enhanced time resolution fast transient and operando spectroscopy capability will be developed for investigating the mechanisms and the nature of the active sites in heterogeneous catalytic gas phase reactions (QUB). These core competencies will be applied to investigate the activation of saturated alkanes, initially building on our recent success in oxidative cracking of longer chain alkanes.We propose to develop our experimental and modelling capabilities with the objective of providing quantitative data on how to enhance the performance of a catalytic system by understanding and controlling the interaction between the solvent(s), the substrates and the catalyst surface. We aim to be able to describe the structure of liquids in catalytic systems at multiscale from the external (bulk) liquid phase to inside the porous structure of the catalyst and at the catalyst surface. The research will integrate new experimental probes and complementary theoretical approaches to help us understand liquid structures and we will use this information in collaboration with our industrial partners to address specific technical challenges.Bio-polymeric materials, e.g. cellulose and lignin, have the potential to provide functionalised building blocks for both existing and novel chemical products. Our ultimate aim is to provide novel and economically viable processes for the conversion of lignin into high value-added products. However, by starting with the conversion of lignosulphonates into vanillin and other higher value chemicals we will develop not only new processes but also the core competencies required to work with more complex fluids.Biogas (CH4 + CO2) can be produced from many different renewable sources but capturing and storing the energy is difficult on a small distributed scale. We propose to investigate a new, economic, down-sized engineering approach to the conversion of methane to dimethylether. This will be achieved by reducing the number of unit operations and developing new catalysts capable of performing under the more extreme temperature conditions that will be required to make the process economic.The drive to use catalysts for cleaner more sustainable chemistry needs also to address the inherently polluting and unsustainable process of catalyst manufacture itself. We will investigate the sustainable production of supported catalysts using electrochemical deposition of the metal. This method bypasses several conventional steps and would generate very little waste. In all these Grand Challenges there will be close collaboration between all the academic and industrial groups.

Wildfires are a natural phenomenon in many regions of the world (e.g. the boreal and temperate North America or the Mediterranean Basin) but, in others (e.g. Atlantic Europe), they are mostly human-caused. Irrespective of their origin, wildfires burn, on average, an area equivalent to about 20 times the size of the UK every year. When they burn through populated areas they can be deadly. For example, in 2018, they resulted in 100 deaths in Greece, 99 in Portugal, and 104 in California alone. In the UK, fires have to date rarely resulted in losses of life but, on average, ~£55M are spent annually in wildfire responses and they have threatened infrastructures and communities (e.g. several wildfires last summer led to evacuations). A combination of climate and land use changes is already increasing wildfire risk in many areas, both inside and outside the UK, and this trend is expected to worsen. In order to develop more effective tools for mitigating and fighting extreme wildfires, we need to advance our ability to understand, predict and, where possible, control fire behaviour. In this project we aim to improve understanding and mitigation of wildland fire by advancing wildfire behaviour model capabilities through the development of new automated methods (algorithms) to implement, for the first time, ground-breaking real 3D fuel data into physics-based wildfire behaviour models. These models are the most advanced in terms of their ability to forecast fire behaviour, but they remain constrained by the lack of detailed fuel input information to work with (i.e. the amount and structure of live and dead vegetation susceptible to burn). The advancement we aim to deliver will provide a step-change in physical fire modelling capabilities. The new algorithms will be implemented in the powerful fuel models FUEL3D and STANDFIRE, which provide fuels inputs for the physics-based fire behaviour models FIRETEC and WFDS. We will apply these to forest stands that typify some of the most common flammable conifer forests in the UK, NW Europe and North America. The algorithms produced will be made publicly available and, therefore, can be adapted and applied to many other forest types around the world. Three-dimensional fuel datasets will be acquired in field campaigns using a range of state-of-the-art laser scanning (terrestrial, wearable and aerial UAV-based laser scanners) and 'Structure from Motion' methods, with traditional fuel inventory measurements being carried out for comparison and model validation. Our case studies will focus on conifer stands in England, Scotland, Wales and the US. In the UK, conifer forests comprise half of the UK's 3.2 Mill. ha of forested land, and they have the greatest potential for crown fires, which spread along treetops and are the most dangerous and challenging to fight. In the US, the work will include real forest fires, carried out for research purposes, which will provide valuable fire behaviour and fuel consumption datasets to validate the improved fuel and fire models. Fire behaviour depends on weather, topography, and on the type and amount of vegetation fuels, with the latter being the only factor that can be meaningfully influenced through management efforts. By managing fuels, we can reduce the risk of extreme fire behaviour and its impacts. Our project provides a novel approach for designing and testing of 'virtual fuel treatments' aimed at decreasing fuel hazard and, thus, fire risk, under current and predicted future climatic and land use scenarios. The involvement of key UK end-users (Forestry Commission, Met Office, Natural Resources Wales and South Wales Fire & Rescue Service) as partners will maximise the applicability and impact of the project's outputs. The novel 3D fuel data and algorithms will also present a major advance for other forestry applications (e.g. forestry inventory, timber forecasting, forest carbon budgeting, ecosystem services assessment).

Climate change is arguably the biggest challenge facing people this century, and changes to the intensity and frequency of climatic and hydrologic extremes will have large impacts on our communities. We use climate models to tell us about what weather in the future will be like and these computer models are based on fundamental physical laws and complicated mathematical equations which necessarily simplify real processes. One of the simplifications that really seems to matter is that of deep convection (imagine the type of processes that cause a thunderstorm). However, computers are so powerful now that we are able to produce models that work on smaller and smaller scales, and recently we have developed models which we call "convection-permitting" where we stop using these simplifications of deep convection. These "convection-permitting" models are not necessarily better at simulating mean rainfall or rainfall occurrence but they are much better at simulating heavy rainfall over short time periods (less than one day) which cause flooding, in particular flash-flood events. They are also better at simulating the increase in heavy rainfall with temperature rise that we can observe; therefore we are more confident in their projections of changes in heavy rainfall for the future. A few "convection-permitting" modelling experiments have now been run for different parts of the world but all of these have been over small regions, only the same size as the UK, or smaller. All of the experiments so far have concentrated on rainfall and none have examined how "convection-permitting" models might improve the simulation of other types of extreme weather such as hail, lightning or windstorms. In fact we know very little about how these types of extremes might change in the future. We also have no idea of the uncertainty in our experiments in terms of our predictions of future changes as we have only run one model simulation in each region - this is not useful for planning climate adaptation strategies where we really need to understand the uncertainties in our future predictions so we can plan for them. In FUTURE-STORMS we are running these "convection-permitting" models over a very large area (the whole of Europe) and we are comparing models from two different climate modelling teams at the UK Met Office and ETH Zurich in Switzerland. In addition to this we are now able to run a number of different climate models over the same region, which allows us to assess some of the uncertainties in future changes to heavy rainfall and other storm-related extreme weather. This will let us explore how heavy rainfall might change across Europe and what might be causing this. It will also allow us to look at whether these new models are able to simulate other types of extreme weather like hail, lightning and windstorms which have a huge impact on Europe, and how these might change in the future. Ultimately, we need better information on how extreme weather events might change in the future on which to make adaptation decisions and FUTURE-STORMS intends to provide this important advance, alongside translating this information into useful tools and metrics for use in climate change adaptation.