Globally, national infrastructure is facing significant challenges: - Ageing assets: Much of the UK's existing infrastructure is old and no longer fit for purpose. In its State of the Nation Infrastructure 2014 report the Institution of Civil Engineers stated that none of the sectors analysed were "fit for the future" and only one sector was "adequate for now". The need to future-proof existing and new infrastructure is of paramount importance and has become a constant theme in industry documents, seminars, workshops and discussions. - Increased loading: Existing infrastructure is challenged by the need to increase load and usage - be that number of passengers carried, numbers of vehicles or volume of water used - and the requirement to maintain the existing infrastructure while operating at current capacity. - Changing climate: projections for increasing numbers and severity of extreme weather events mean that our infrastructure will need to be more resilient in the future. These challenges require innovation to address them. However, in the infrastructure and construction industries tight operating margins, industry segmentation and strong emphasis on safety and reliability create barriers to introducing innovation into industry practice. CSIC is an Innovation and Knowledge Centre funded by EPSRC and Innovate UK to help address this market failure, by translating world leading research into industry implementation, working with more than 40 industry partners to develop, trial, provide and deliver high-quality, low cost, accurate sensor technologies and predictive tools which enable new ways of monitoring how infrastructure behaves during construction and asset operation, providing a whole-life approach to achieving sustainability in an integrated way. It provides training and access for industry to source, develop and deliver these new approaches to stimulate business and encourage economic growth, improving the management of the nation's infrastructure and construction industry. Our collaborative approach, bringing together leaders from industry and academia, accelerates the commercial development of emerging technologies, and promotes knowledge transfer and industry implementation to shape the future of infrastructure. Phase 2 funding will enable CSIC to address specific challenges remaining to implementation of smart infrastructure solutions. Over the next five years, to overcome these barriers and create a self-sustaining market in smart infrastructure, CSIC along with an expanded group of industry and academic partners will: - Create the complete, innovative solutions that the sector needs by integrating the components of smart infrastructure into systems approaches, bringing together sensor data and asset management decisions to improve whole life management of assets and city scale infrastructure planning; spin-in technology where necessary, to allow demonstration of smart technology in an integrated manner. - Continue to build industry confidence by working closely with partners to demonstrate and deploy new smart infrastructure solutions on live infrastructure projects. Develop projects on behalf of industry using seed-funds to fund hardware and consumables, and demonstrate capability. - Generate a compelling business case for smart infrastructure solutions together with asset owners and government organisations based on combining smarter information with whole life value models for infrastructure assets. Focus on value-driven messaging around the whole system business case for why smart infrastructure is the future, and will strive to turn today's intangibles into business drivers for the future. - Facilitate the development and expansion of the supply chain through extending our network of partners in new areas, knowledge transfer, smart infrastructure standards and influencing policy.

This proposal from Loughborough University outlines the case to renew the funding for the Industrial Doctorate Centre for Innovative and Collaborative Construction Engineering (CICE) as part of the Industrial Doctorate Centres call aginst the Towards Better Exploitation element of the EPSRC Delivery Plan. In partnership with an established industry base, CICE is delivering a high quality research and training programme that: meets the core technical and business needs of the construction industry; enhances its knowledge base; and produces high calibre doctoral graduates that can drive innovation. The Centre addresses a wide range of research issues that concern the UK construction industry including: Innovative Construction Technologies; Construction Business Processes; Advanced Information and Communication Technologies; Sustainable Design and Construction; and Transport and Infrastructure. Many of these areas have been highlighted in various reviews of the industry including the Latham Report, the Technology Foresight Report, the Egan Task Force Report, and more recently the National Technology Platform's research priorities. It also contributes to the EPSRC Delivery Plan as part of the knowledge transfer research and training activities. The research areas of the Centre align with the Engineering and Science for Sustainability research theme, as outlined in the EPSRC's Research Priorities and Opportunities, and fall under the 'Construction and the Built Environment' and 'Transport' sub-themes. Within the Construction and Built Environment, the Centre builds on existing strengths in the Department of Civil and Building Engineering established as part of the Engineering Doctorate Centre and other related industry based research to address some of the EPSRC research priorities to improve efficiency across the supply chain, including: encouraging the uptake of ICT to promote efficiency; improving building performance to minimise impacts on the environment ; and the analysis and design of civil engineering structures . Within the Transport area Sustainability and Innovation are key themes of the research that centres on transport operation and management, transport telematics, and minimising energy use and environmental impact . The Engineering Doctorate Centre (CICE) was established in 1999 and has subsequently recruited a total of 94 research engineers sponsored by a total of 63 large, medium and small companies. Loughborough University is a research intensive institution, which integrates its research and teaching activity at every opportunity to provide a top quality research led learning experience for all its students. The Department of Civil and Building Engineering has consistently achieved high research rating in the RAE assessments and the last RAE results were 5* in Built Environment. The Engineering Doctorate is part of Loughborough University's excellent doctoral research training programme, which in addition to supporting the pursuit of a particular project aims to provide a basic professional training to support the research and offer personal development opportunities. The training programme integrates taught and research elements tailored to suit the needs of the research engineer, project, and the sponsoring company while maintaining the expected quality of the academic standards required for a doctoral study. The Centre is managed by the Director, Prof. Dino Bouchlaghem supported by a Deputy Director, a Centre Manager and an Administrator. A Centre Management Board consisting of the Director, Deputy Director, and Industrial Representatives meets twice a year and is chaired by a senior industrialist from one of the sponsoring companies, oversees the work of the Centre and provides direction and guidance on strategic matters. This proposal has the full support of the University and has been subject to an internal review process to ensure synergy with the University's Research Strategy.

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.

This project will develop sound methods for future climate change data for building designers to use for new buildings and refurbishments that could last to the end of this century. The principal application output will be a draft Technical Memorandum (TM) for the Chartered Institution of Building Services Engineers, CIBSE, suitable for practising designers. This will be supported by extensive case studies to validate the new weather data design methodology and be used in research tasks described later. 'Story lines' relevant to different scenarios for the climate and built environment will be developed as well as risk levels in building design to enable designers to use the weather data with confidence. The TM will provide CIBSE with a consistent methodology for the selection and use of future data for its new Design Guide, a fundamental document used by designers of buildings and their services and a supporting document for the Government's Building Regulations. The basis for this project will be the UK Climate Impacts Programme (UKCIP) future scenarios to be published in 2008 (UKCIP08) from which may be derived probabilities of different weather outcomes over this century. Academic outputs will include an extensive assessment of the carbon reduction potential of active and passive systems and designs for new and refurbished buildings. They will utilise case studies with PC simulation of the building and systems, employing the new probabilistic weather data. These assessments will provide designers and policy makers with guidelines to help reduce the growth in greenhouse gases (GHGs) from buildings, which at present contribute about 50% of the UK emissions. Other academic outputs will provide the theoretical basis underlying the proposed consistent PC-based and manual design methodology with coincident, probabilistic future weather data parameters such as solar radiation, air temperature, wind speed and direction. It is known that solar radiation and air temperature have peak values at different times and on different days but current design methods do necessarily separate them so that over-design often occurs. A related academic output will be a theory underpinning the selection of the proposed new Design Reference Year (DRY) which will facilitate building design (including passive and active heating and cooling systems and comfort assessment) with simulation on a PC. The DRY will replace the currently unsatisfactory Design Summer Year. Solar radiation data, not covered in detail in the HadRM3 and UKCIP02 models, will be developed to satisfy designers' requirements. Likewise wind data (crucial to include since wind drives natural ventilation) although the confidence level will be lower. Rainfall duration and quantity are also important in the building design process because of drainage and rain penetration damage and designers' requirements will again be reviewed.'Urban heat island' effects (urban areas are often hotter than the nearby rural areas), briefly mentioned in the present Guide, will be incorporated in the new data, developing on SCORCHIO work to provide more realistic urban weather data. Local modification or downscaling will also be applied to generate data for other sites in the UK. This will enable the new Guide to cover more than the current 14 sites for which data were developed by Manchester for CIBSE.To ensure that the new, probabilistic outputs will be useful to professionals, and to reflect best practice in design, there will be strong stakeholder involvement through the formation of a Stakeholders Group, including Corresponding Members, which will include CIBSE, architects and software houses and housebuilders. Policy interests will be reached via the Department for Communities and Local Government, and DEFRA and their contractors, such as BRE. There will be links to the Manchester-led EPSRC SCORCHIO urban heat island and climate change project, UKCIP and the Tyndall Centre.

Additive Building Manufacturing (ABM) is transforming the construction industry through the 3D printing of buildings and building components. A number of countries are now demonstrating ABM can substantially reduce construction time, material and transport costs, improve worker safety standards and alleviate construction's impact on urban traffic congestion and the environment. ABM also provides geometrical variety at no additional cost. In contrast to most manufacturing sectors, variety is a necessity within construction to satisfy different client requirements and adapt to unique terrain, boundary and laws governing each physical site. However, current ABM systems are difficult to deploy on construction sites due to their large size and fixed 3D Print build volumes that are not sufficiently flexible to deal with the complexities of most building scenarios, or provide adequate measures for human safety. These ABM technologies are unable to undertake maintenance and repair work, or construct buildings in many urban or elevated sites. They are also not able to be utilised for post-disaster reconstruction activities where their manufacturing speed would be of great assistance. To address this limitation, this research proposal aims to develop the world's first Aerial Additive Building Manufacturing (Aerial ABM) System consisting of a swarm of aerial robots (Unmanned Aerial Systems (UAS)) that can autonomously assess and manufacture building structures. Aerial ABM offers major improvements to human safety, speed, flexibility, and manufacturing efficiency compared to existing ABM and standard building construction technologies. We have already developed and demonstrated pilot results using UAS that can extrude 3D Print material during flight and we have developed simulation environments that allow for autonomous planning and execution of manufacturing with swarms of UAS working in collaboratively. Using the resources of the EPSRC grant, we will co-develop and demonstrate a working Aerial ABM system that will manufacture structural elements such as walls and a freeform building pavilion. This will require innovation and major technical contributions in Hardware, Autonomy as well as in Materials and Structures. Building on the consortium's world-leading expertise in these areas and support from industrial partners (Skanska, Ultimaker, BuroHappold, Dyson and BRE), we aim at delivering the following main research contributions through this grant: Aerial ABM Hardware - A novel Aerial ABM robot design with autonomous vision based stabilisation, navigation and mapping of a dynamically changing environment that is optimised for flight and 3D Printing tasks. Aerial ABM Autonomy - A framework for autonomous manufacturing that utilises swarm intelligence for collaborative robot-to-robot operations, dynamic task sharing/allocation, adaptive response to context and dynamic environment content involving functions such as new methods of collision avoidance. - Develop new modes of communication and control that enable the safe co-existence and cooperation of human workers, other robots and Aerial ABM robots on construction sites. Novel research in human-robot interaction, feedback and haptic interface functionalities will enable manufacturing flexibility suitable for construction sites that are always unique in size, shape and contextual complexity. - An integrated design and real-time structural analysis software that delivers optimal structural integrity from minimal material weight within building design strategies that leverage this free-form manufacturing process to create innovative building design possibilities. Aerial ABM Materials and Structures - Development of new high-performance 3D-printable composite material and deposition procedures for the additive manufacture (3D Printing) of free-form light-weight building structures utilising autonomous UAS.