Energy Management of existing non-domestic buildings is wrought with many challenges, a number of which arguably exist due to the diversity found amongst individual buildings and amongst the humans who occupy them. Buildings are inherently unique systems making it difficult to generalize technology solutions for any individual property. Instead, to make robust investment decisions for the energy-efficient upkeep of a particular building requires some degree of tailored engineering and economic analysis. To understand why this is the case, one need only to consider the chain of questions one would likely need to address for decision-making in an arbitrary building. For instance, we might ask: what is the age of the building and the equipment currently installed in it? Does the heating system need to be replaced? If yes, is the current system a boiler, and if so, how efficiently does it perform? Would the building benefit from a new boiler or an electric heat pump? Would it benefit from replacing the heating distribution pipes? Do the cost / benefits of any of these technologies depend on government tariffs and subsidies? What is the risk faced if any available subsidies are cut in the future? How robust is either technology to the future price of natural gas and electricity? Would that risk be worth taking? Is it too expensive to even start thinking about the options and associated risks? How would a facility manager visualise the options available and possible spreads of benefits and risks for all these aspects? This project aims to respond to these challenges. Indeed, in order to make sound decisions on future building operation and technology investment, evidence shows that one needs adequate information on a number of engineering, economics, and social science matters pertaining to each individual project. To obtain this information has so-far been viewed as a costly exercise, and has contributed to the general perception that undertaking deep cuts to building energy consumption (achieving more than 15% in energy savings per investment) is an economically risky affair. This proposal is the first to develop and recommend an altogether new approach to performing building audits, energy simulation, uncertainty analysis, data visualization, and finally investment decision-making. It will lead to a marked reduction in the cost of acquiring information for robust retrofit and facility management decisions. The direct outputs of this project will be a series of software tools for three distinct but related purposes: (i) collecting building data on relevant uncertainty parameters (i.e., "what do we know now?"); (ii) propagating and quantifying uncertainty using building simulation models, measurements obtained from key monitored building sites, and cutting-edge statistical approaches (i.e., Bayesian analysis); and (iii) the display and interpretation of uncertainty. During the course of the project, workshops will be organised to lay out the current (uncertain) knowledge that has been, until now, largely undocumented in the buildings sector and inaccessible to the energy research community. This includes gaining understanding on the most common faults observed in managing conventional energy systems, and how spatial layouts in building evolve. The graphical presentation of risk information and understanding users' perception of uncertainty and risk will be key elements of these workshops and the research programme. Our software tools, user guidance, and numerical runs of test cases will be made available, as the web-based B-bem portal, via the University of Cambridge web site.

The challenge articulated in this proposal is: how to develop cities with no air pollution and no heat-island effect by 2050? It is difficult to predict with precision the future of cities, but there will be significant adaptations and changes by 2050, due to advances in technology, changing populations, social expectations and climate change. A roadmap is needed to ensure that decisions taken as the city evolves lead towards a sustainable future. Approximately half of the energy use, carbon dioxide emissions and exposure to air pollution in cities is due to either buildings or transportation, and this total energy use is increasing. Air pollution is projected to be the leading global cause of mortality by 2050. Therefore the question posed here in terms of air quality and temperature rise is important in its own right. However, these quantities together also provide, perhaps uniquely, specific measurable physical properties that cover an entire city and provide a metric for assessing the sustainability of system-wide decisions. Traditional approaches to urban environmental control rely on energy-consuming and carbon/toxics-producing heating, ventilation and air conditioning (HVAC) systems. These traditional approaches produce an unsustainable cycle of increasing energy use with associated emissions of carbon dioxide and pollutants leading to rising temperatures implying, in turn, greater use of HVAC. Breaking this vicious cycle requires a completely different engineered solution, one that couples with natural systems and does not depend solely on mechanical systems. This project will develop a facility consisting of an integrated suite of models and an associated management and decision support system that together allow the city design and its operation to manage the air so that it becomes its own HVAC system, with clean, cool air providing low-energy solutions for health and comfort. This will be achieved by using natural ventilation in buildings to reduce demand for energy and ensuring air pollutants are diluted below levels that cause adverse health effects, coupled with increased albedo to reduce the heat island effect plus green (parks) and blue (water) spaces to provide both cooling and filtration of pollutants. We have brought together a trans-disciplinary research team to construct this facility. It will be comprised of three components: (i) a fully resolved air quality model that interacts with sensor data and provides detailed calculations of the air flow, pollutant and temperature distributions in complex city geometries and is fully coupled to naturally ventilated buildings, and green and blue spaces; (ii) reduced order models that allow rapid calculations for real time analysis and emergency response; and (iii) a cost-benefit model to assess the economic, social and environmental viability of options and decision. The scientific air quality component is a fully-resolved computational model that couples external and internal flows in naturally ventilated buildings at the building, block and borough scales. It will be supported and validated by field measurements at selected sites and by wind tunnel and salt-bath laboratory studies. The reduced order models will be developed from the computational model and from laboratory process studies, and will be capable of producing gross features such as mean pollutant concentrations and temperatures. They will be used to provide capabilities for scoping studies, and real-time and emergency response. The cost-benefit model will provide the link between the scientific and engineering models and implementation advice. It will include modules for the built environment, public spaces and transportation, and provide estimates of the life-cycle costs and benefits of the various scenarios at the individual building, city block and borough scales. Eventually, it is envisaged that this will also include social and health effects.

Poor air quality is widely recognised to affect human health and wellbeing. Cumulative exposure to pollutants throughout the life course is a determinant for numerous long term health conditions including dementia, heart disease and diabetes, Short term high exposures are shown to exacerbate conditions such as asthma and COPD, increase risks of heart attacks and stroke and influence respiratory infections. The very young, very old and those with pre-existing conditions are most at risk and inequality further increases this; the poorest in society often live in the lowest quality housing in the most polluted areas. Human exposure to air pollutants occurs in both indoor and outdoor environments. Urban air pollution results from a combination of local outdoor sources (e.g. transport, combustion, industry) and regional and large scale atmospheric transport of pollutants. We spend up to 90% of our time indoors and indoor air quality is therefore a significant part of human exposure. Indoor air quality is influenced by the climate, weather and air quality in the external environment in addition to local indoor sources (e.g. microorganisms, chemicals cleaning and personal care, cooking, industry processes, emissions from building materials, heating and mechanical systems) and the building design and operation. In all cases it is the airflows within and between indoor and outdoor locations that enables the transport of pollutants and ultimately determines human exposures. Understanding airflows is therefore at the heart developing effective mitigating actions, particularly in cases where there is limited ability to remove a pollutant source. Being able to predict the influence of airflows enables understanding of how pollutants are likely to move within and between buildings in a city, both under normal day-to-day conditions and in response to emergencies such as heatwaves or wildfires. With the right computational and measurement tools it is then possible to change the design or management of city neighbourhoods enabling better urban flows to reduce exposure to pollutants and also to innovate new ventilation solutions to control the indoor environment in buildings. While there are a number of approaches that already enable assessment of urban flows and indoor flows, these aspects are not currently considered together in an integrated way or focused on optimising environments for health. The Future Urban Ventilation Network (FUVN) aims to address this by defining a new holistic methodology - the Breathing City. This will define a new integrated assessment approach that considers coupled indoor-outdoor flows together to minimise exposure for people within a neighbourhood who are most at risk from the effects of poor air quality. The network will bring together people from a range of disciplines and areas of application with a common interest in improving urban and indoor airflows to improve health. Through small scale research and workshop activities we will advance the understanding of the fluid dynamics that determines the physics of this indoor-outdoor exchange. The network will develop a research programme to address technical gaps in modelling and measuring pollutant transport and how we can use this to determine long and short term exposures to a range of pollutants. We will work collaboratively with industry, policy makers and the public to understand how this approach could change city planning, building design guidance and community actions to enable health based future urban ventilation design and to "design out" health risks for people who are most vulnerable.

The aim of this network is to bring together interdisciplinary expertise to address the problem of air quality in schools. The future health of our nation and indeed all human society depends on educating children in healthy environments. The Tackling Air Pollution at School (TAPAS) network focuses on that vulnerable section of every society - school children and their environment. Our vision is to create and develop a menu of options that can be introduced into schools to provide an environment free of pollutants and in harmony with nature, so that children have a fulfilling and healthy educational experience. These products need to be effective, inexpensive and, where possible, educational: i.e. they should involve the children in an understanding of their environment and provide them with an opportunity to engage with it in social, scientific and behavioural terms. We have chosen to focus on schools and school children for the following reasons. Children are a particularly vulnerable section of society. They are physiologically less able to regulate their temperature and are more susceptible to exposure to air pollution than adults. Among the vulnerable groups in society school pupils will experience the impact of poor air quality for the longest period into the future. Recently, over 2000 schools in the UK were identified as being in 'pollution hotspots' where air pollution exceeds WHO limits. From a practical viewpoint, working in schools has many advantages. School keep records on student attendance and pupils which provide information on absences related to health. They also have data on room occupancy, pupil activities (e.g. PE, meals) and movement through the school. This information is essential to determine personal exposure. Additionally, schools offer a wide variety of spaces including labs, meeting halls, dining areas as well as classrooms, each with different ventilation and indoor sources of pollution. The ability of schools to mitigate exposure to pollution is hampered by lack of knowledge. For example, the impact of idling vehicle engines near school while dropping off and collecting children on exposure in the playground or on indoor levels of NOx and particulate matter (PM) is unclear, making it impossible for schools to decide whether to ban idling or not. Our interdisciplinary team consists of experts in indoor and outdoor pollution, air pollution modelling, data science, building design and ventilation, education, social behaviour and health impacts. This will allow this network to address the critical issues associated with pollution in schools by offering a menu of solutions. We also propose to include a significant educational component so that pupils will learn about the impacts of poor air quality and take this knowledge with them as they grow up, thereby producing a lasting change in society. Schools also accommodate children with special educational needs and disabilities (SEND) who are even more vulnerable and who often require special environmental conditions. Furthermore, there are currently a wide range related activities concerning indoor environmental quality in schools that this network will bring together for the first time in a coordinated fashion.

Fluid mechanics underpins many established and emerging UK industries as well as critical societal issues such as climate science and energy consumption. Fluid mechanics research in the UK remains world-class across several dozen institutions. However, with the recent concentration of research council funding in a few universities, a network across institutions is needed to ensure that academic and industrial researchers can access the widest pool of expertise and resources, and can continue to innovate in critical emerging areas. The strategic mission of the UK Fluids Network is to keep the UK an international focal point for innovative, relevant, and impactful fluid mechanics, to engage as a group with industry, and to build leadership within the community. Early developments in fluid mechanics research were motivated by aerodynamics and this remains an important branch of the subject; Rolls-Royce, Airbus, and BAE Systems are 3 of the 6 most named partners in the Dowling review of Business-University Research Collaborations. As the subject has matured, a wide range of inter-disciplinary applications have emerged within research council priority areas. Examples include complex fluids and rheology, carbon capture and storage, and many aspects of the Energy challenge theme and Manufacturing the Future initiative. Fluid mechanics research in the UK remains world-class across many groups. In EPSRC's 2010 International Review of Mathematical Sciences, UK fluid mechanics research was described as ahead of Asian countries and the rest of Europe, behind only the US. However, there are on-going challenges to identify and fund critical emerging areas, to attract international investment against increasingly well-funded competition, to engage companies that have never participated in collaborations, and to respond to changing research council funding models. The aim of the network is to enable the UK fluid mechanics community to meet these challenges. There are around 20 joint efforts in the UK fluid mechanics community, many supported by research councils or InnovateUK. These are discipline-specific, such as the UK Turbulence consortium, the UK Applied Aerodynamics consortium, and the Industrial Mathematics KTN, or application-specific, such as the Aerospace Technology Institute, the Energy Generation and Supply KTN, and the Transport KTN. These focus on a limited set of established areas and therefore cover only a fraction of UK fluid mechanics activity. Many emerging areas, which have the biggest potential to create major step changes, fall between the cracks. The UKFN will complement these joint efforts, facilitating inter-disciplinary research and engagement with industry, and also support 40 Special Interest Groups (SIGs) that address industrial, scientific, and societal challenges outside existing joint efforts. The UKFN draws inspiration from existing overseas networks. The Dutch Burgerscentrum (www.jmburgerscentrum.nl) enhances international visibility and national influence for Dutch fluid mechanics research. The European Research Community on Flow, Turbulence, and Combustion (ERCOFTAC www.ercoftac.org) organises SIGs, best practice guidelines, and industry events. The European Mechanics Society (www.euromech.org) organises conferences and colloquia. The American Physical Society Division of Fluid Dynamics (APS-DFD) coordinates the US fluid mechanics community in advocacy to funding agencies. There are similar organisations in India and China. The activities proposed for the UKFN are designed to have similar impact for the UK.