Lot-NET considers how waste heat streams from industrial or other sources feeding into low temperature heat networks can combine with optimal heat pump and thermal storage technologies to meet the heating and cooling needs of UK buildings and industrial processes. Heating and cooling produces more than one third of the UK's CO2 emissions and represent about 50% of overall energy demand. BEIS have concluded that heat networks could supply up to 20% of building heat demand by 2050. Heat networks have previously used high temperature hot water to serve buildings and processes but now 4th generation networks seek to use much lower temperatures to make more sources available and reduce losses. Lot-NET will go further by integrating low temperature (LT) networks with heat pump technologies and thermal storage to maximise waste and ambient heat utilisation. There are several advantages of using LT heat networks combined with heat pumps: - They can reuse heat currently wasted from a wide variety of sources in urban environments, e.g. data centres, sewage, substation transformers, low grade industrial reject heat. - Small heat pumps at point of use can upgrade temperature for radiators with minimal electricity use and deleterious effect on the electricity grid. - Industrial high temperature waste can be 'multiplied' by thermal heat pumps increasing the energy into the LT network. - By operating the heat network at lower temperatures, system losses are reduced. Heat source availability is often time dependant. Lot-NET will overcome the challenges of time variation and how to apply smart control and implementation strategies. Thermal storage will be incorporated to reduce the peak loads on electricity networks. The wider use of LT heat networks will require appropriate regulation to support both businesses and customers and Lot-NET will both need to inform and be aware of such regulatory changes. The barrier of initial financial investment is supported by BEIS HNIP but the commercial aspects are still crucial to implementation. Thus, the aim of LoT-NET is to prove a cost-effective near-zero emissions solution for heating and cooling that realises the huge potential of waste heat and renewable energies by utilising a combination of a low-cost low-loss flexible heat distribution network together with novel input, output and storage technologies. The objectives are: 1. To develop a spatial and temporal simulation tool that can cope with dynamics, scale effects, efficiency, cost, etc. of the whole system of differing temperature heat sources, distribution network, storage and delivery technologies and will address Urban, Suburban and Exurban areas. 2. To determine the preferred combination of heat capture, storage and distribution technologies that meets system energy, environmental and cost constraints. Step change technologies such a chemical heat transport and combined heat-to-power and power-to-heat technologies will be developed. 3. To design, cost and proof of concept prototype (as appropriate) seven energy transformation technologies in the first two-three years. They consist of both electrically driven Vapour Compression and heat driven Sorption technologies. Priority for further development will be then given to those which have likely future benefits. 4. To determine key end use and business/industry requirements for timely adoption. While the Clean Growth Strategy and the Industrial Strategy Challenge Fund initially support future implementation, innovative business models will reduce costs rapidly for products or services that customers want to buy and use. Thus, engagement with stakeholders and end users to provide evidence of possible business propositions will occur. 5. To demonstrate/validate the integrated technologies applicable to chosen case studies. The range of heating, cooling, transformation and storage technologies studied will be individually laboratory tested interacting with a simulated netw

If the significant numbers of dwellings with solid masonry walls (SMWs) are to be insulated, there will have to be a paradigm shift in the way that moisture risk is assessed. Methods must be developed to clearly demonstrate that insulation solutions are effective, robust and resilient to moisture even when considering the vagaries of our future climate and the way that people choose to live in their homes. This research will result in new methods and metrics, backed by rigorous scientific evidence, that enable moisture risk assessment of SMWs to be carried out routinely, new insulation materials to be developed and more homes to be insulated. Insulating the UKs existing housing stock will be an essential step in achieving greenhouse gas reduction targets and alleviating fuel poverty. The highest levels of heat loss occur in the c30% (8 million) homes that have SMWs. Insulating these walls offers significant potential for fuel savings but may cause moisture problems. Water accumulates within SMWs when it is raining outside or humid inside and diminishes with drier conditions. This water can pass from one face of the wall to the other as there is no cavity to act as a capillary break. Applying insulation to either the inside or outside face of the wall changes the temperature of the masonry, the rate of wetting and drying at each face and the locations where water vapour might condense and accumulate. This moisture can lead to mould growth, interstitial condensation and freeze thaw damage. These problems can cause severe damage, are expensive to repair and can affect the health of occupants. Current guidance in the UK Building Regulations (approved document C) and related standards is not adequate for assessing moisture risk when insulating SMWs. The simplified steady-state vapour diffusion model is not appropriate because dynamic liquid moisture conduction is the dominant moisture transport mechanism when SMWs are exposed to rainfall. There is a distinct lack of guidance on how to use more advanced transient heat and moisture simulation software, what inputs should be used for the boundary conditions and how the results translate into moisture risk. Straightforward design principles, based on many years of practical experience and research, have led to contradictory advice e.g. there is no clear consensus on how permeable the insulation material should be to water vapour. Thus only a small handful of hygrothermal experts might ever attempt a quantitative risk assessment for insulating SMWs and fewer SMWs are being insulated as a result. This research project will address these problems. Firstly, a framework will be developed for using advanced heat and moisture simulation software to carry out moisture risk assessment. This will include guidance on the boundary conditions to be used at the inside of the wall, and outside especially for wind driven rain exposure. It will also identify appropriate criteria to minimise risk from moisture accumulation within the wall, mould growth at the indoor surface and freeze/thaw at the outside surface. A number of insulation materials will be compared to understand which can best reduce the risk of moisture damage when insulating SMWs. Secondly, probabilistic modelling methods will be used to understand how robust different insulation solutions are to moisture damage given that there is considerable uncertainty in boundary conditions and material properties. Thirdly, new approaches to moisture risk assessment will be explored. A 'moisture safety factor' might describe how resilient an insulated SMW is to extreme events such as flooding. It may be possible to develop a completely new laboratory test for assessing insulation solutions. The underlying strength of this research comes from the collection high quality primary data, in the new state-of-the-art Hygrothermal Test Facility, for validating the results from the models.

The Horizon institute is a multidisciplinary centre of excellence for Digital Economy (DE) research. The core mission of Horizon has been to balance the opportunities arising from the capture, analysis and use of personal data with an awareness and understanding of human and social values. The focus on personal data in a wide range of contexts has required the development of a broad set of multidisciplinary competencies allowing us to build links from foundational algorithms and system to issues of society and policy. We follow a user-centred approach, undertaking research in the wild based on principles of open innovation. Horizon now encompasses over 50 researchers, spanning Computing, Engineering, Law, Psychology, Social Sciences, Business and the Humanities. It has grown a diverse network of over 200 external partners who are involved in ongoing collaborative research and impact with Horizon, ranging from major international corporations to SMEs, from a wide variety of sectors, alongside government and civil society groups. We have also established a CDT in the third wave of funding that will eventually deliver 150 PhDs. Our critical mass of researchers, partners, students and funding has already led to over 800 peer-reviewed publications, composed of: 277 journal articles, 51 books and book chapters, and 424 conference papers, in a total of 15 different disciplines. Over the years Horizon's focus has evolved from an emphasis on the collection and understanding of personal data to consider the user-centred design and development of data-driven products. This proposal builds on our established interdisciplinary competencies to deliver research and impact to ensure that future data-driven products can be both co-created and trusted by consumers. Core to our current vision is the idea that future products will be hybrids of both the digital and the physical. Physical products are increasingly augmented with digital capabilities, from data footprints that capture their provenance to software that enables them to adapt their behaviour. Conversely, digital products are ultimately physically experienced by people in some real-world context and increasingly adapt to both. This real-world context is social; hence the data is social and often implicates groups, not just individuals. We foresee that this blending of physical and digital will drive the merging of traditional goods, services and experiences into new forms of product. We also foresee that - just as today's social media services are co-created by consumers who provide content and data - so will be these new data-driven products. At the same time, we are also witnessing a crisis of trust concerning the commercial use of personal data that threatens to undermine this vision of data-driven products. Hence, it is vitally important to build trust with consumers and operate within an increasingly complex regulatory environment from the earliest stages of innovating future products. Our user-centred approach involves external partners and the public in "research-in-the-wild", grounding our fundamental research in real world challenges. Our delivery programme combines a bottom-up approach in which researchers are given the opportunity (and provided with the skills) to follow new impact opportunities in collaboration with partners as they arise (our Agile programme), with a top-down approach that strategically coordinates how these activities are targeted at wider communities (our Campaigns programme, with successive focus on Consumables, Co-production and Welfare), and reflective processes that allow us to draw out broader conclusions for the widest possible impact (our Cross-Cutting programme). Throughout we aim to continue to develop the capacity in our researchers, the wider DE research community and more broadly within society, to engage in responsible innovation using personal data within the Digital Economy.

While employment in Britain is at record levels, there is widespread concern many jobs are not of sufficient quality to maintain a healthy and thriving society. Growing public concern culminated in the government commissioning the 'Good work: The Taylor Review of Modern Working Practices' in 2017. A key recommendation of the Taylor Review was that the government should adopt a multidimensional definition of 'good work', among other recommendations. Building upon decades of academic research demonstrating their relationship with job-related wellbeing, the Taylor Review identified six dimensions as central to 'good work' (DBEIS 2017: 12) (wages, employment quality, education and training, working conditions, work-life balance, and consultative participation/collective representation). The overall objective of this SDAI project is to explore an occupational approach to mapping, understanding, and improving the quality of working life by applying insights from sociological theories of stratification which suggest that the capacity to achieve high job-related wellbeing is to a large extent determined by occupation-field of work. However, this issue has been scarcely researched. The extent to which job quality and job-related wellbeing are structured across the occupational structure are critical issues to understanding and developing pathways to improving the quality of working life, for instance, through occupational mobility or workplace practices that might moderate the effect of occupational environment. We propose creating a new Classification of Occupational Quality (COQ) for this purpose. This is because existing occupational classifications (such as the NS-SEC occupational class schema used by the ONS) were not intended to map job quality defined in a multidimensional way, and as such tended to focus on only a single job quality dimension. A more appropriate tool for the current academic and policy context is necessary. Moreover, the sparse existing research findings suggest that dimensions of job quality and measures of job-related wellbeing do not neatly map onto occupational classes in any case. The specific research questions motivating this proposal are: 1. What is the structure of 'occupational quality'? 2. How does occupational quality influence individuals' subjective wellbeing over the life course? 3. Is mobility across occupational quality structure an effective means of improving the quality of working life? 4. To what extent does the workplace moderate the effect of occupational quality on job quality and wellbeing? Using existing ESRC data, we will answer these questions through writing-up and submitting the results to four world-class academic journals. Emerging findings will be shared at, and feedback will be gathered from a range of national and international conferences, as well as specialist workshops with targeted academic experts to ensure maximum academic impact. A distinctive part of our SDAI project is its impact strategy beyond academia. With the support of the Dept BEIS (the department responsible for implementing the government's job quality strategy) and the CIPD (the professional body of the HR profession who have been a leading voice in the job quality debate), we will channel our findings to policy and practitioner audiences (see Letter of Support). This includes a series of policy and practitioner workshops, as well as plain English briefings of our research outputs, to be hosted on the project website (www.qualityofworkinglife.org). We will also enlist a design agency to prepare searchable and graphical presentations of occupational quality data we will produce from ESRC data. The project website will also host short video factuals which we will produce, summarising each paper. Collectively, these strategies will ensure maximum impact at a time when the issue of job quality has never been so pressing as well as maximising return on existing ESRC investments.

This project aims to understand how novel energy storage technologies might best be integrated into an evolving, lower-carbon UK energy system in the future. It will identify technical, environmental, public acceptability, economic and policy issues, and will propose solutions to overcome barriers to deployment. As electricity is increasingly generated by highly-variable renewables and relatively inflexible nuclear power stations, alternatives to the use of highly-flexible fossil-fuelled generation as a means of balancing the electricity system will become increasingly valuable. Numerous technologies for storing electricity are under development to meet this demand, and as the cost of storage is reduced through innovation, it is possible that they could have an important role in a low-carbon energy system. The Energy Storage Supergen Hub is producing a UK roadmap for energy storage that will be the starting point for this project. The value of grid-scale storage to the electricity system has been assessed for some scenarios. For extreme cases comprising only renewable and nuclear generation, the value is potentially substantial. However, the value of energy storage to the UK depends on the costs and benefits relative to sharing electricity imbalances through greater European interconnection, demand-side electricity response, and wider energy system storage, and the optimal approaches to integrating energy storage at different levels across the whole energy system are not well understood. This project will take a broader approach than existing projects by considering energy system scenarios in which storage options are more integrated across the whole energy system, using a series of soft-linked energy and electricity system models. Demand-side response and increased interconnection will be considered as counterfactual technologies that reduces the need for storage. Three broad hypotheses will be investigated in this project: (i) that a whole energy system approach to ES is necessary to fully understand how different technologies might contribute as innovation reduces costs and as the UK energy system evolves; (ii) that a range of technological, economic and social factors affect the value of ES, so should all be considered in energy system scenarios; and, (iii) that the economic value of the difference between good and bad policy decisions relating to the role of energy storage in the transition to low-carbon generation is in the order of £bns. A broader, multidisciplinary approach, which extends beyond the techno-economic methodologies that are adopted by most studies, will be used to fully assess the value of energy storage. This project will therefore also examine public acceptability issues for the first time, compare the environmental impacts of storage technologies using life-cycle analyses, and examine important economic issues surrounding market design to realise the value of storage services provided by consumers. All of these analyses will be underpinned by the development of technology-neutral metrics for ES technologies to inform the project modelling work and the wider scientific community. These multidisciplinary considerations will be combined in a series of integrated future scenarios for energy storage to identify no-regrets technologies. The project will conclude by examining the implications of these scenarios for UK Government policy, energy regulation and research priorities. The analyses will be technical only to the point of identifying the requirements for energy storage, with absolutely no bias towards or against any classes of storage technology.