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Islington Council

Islington Council

2 Projects, page 1 of 1
  • Funder: UK Research and Innovation Project Code: EP/R045496/1
    Funder Contribution: 5,388,930 GBP

    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

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  • Funder: UK Research and Innovation Project Code: ES/T001364/1
    Funder Contribution: 1,637,430 GBP

    Innovation or doing things differently is often seen as a solution to the problems facing adult social care today and for the foreseeable future. Adult social care might seem to be an area where new approaches will naturally flourish (e.g. competition between providers, different people paying, choice over types of care and provider). Yet, while there are many innovations and good evidence that some benefit people using care services, they do not spread rapidly and are often do not become mainstream. Many get abandoned, despite seeming promising. There may be several reasons for this but we are not sure what really stops good things being taken up. Compared to other parts of society, we don't know lots about innovation in social care and why things do not spread. Many organisations and people offer to help with innovation but we do not know much about what they do and how they do it, or what works. Overall, there has not been much effort to draw together experiences of innovating or changing things in adult social care to let people know what might help and avoid 'reinventing the wheel'. This is the reason for our proposed research. We want to support the adult social care sector to start up, implement, spread and scale-up affordable innovations that work well. We will produce: 1) new evidence about the process of innovating (doing things differently), what influences the process (what helps and what hinders), what helps people and systems change, what support is available to help people, and the sector's experiences of and views about that support; 2) a theoretical framework (the 'big idea') for understanding social care innovation that will help to design, plan and learn about innovations; 3) an evidence-based discussion about innovation overall in the care sector and its prospects; 4) descriptions of types of social care innovations, including the people and organisations involved, and types of support for innovation. If our research is to support social care to do things differently and better, then our findings need to be translated into actions. We will build and foster strong relationships with stakeholders (e.g. users/carers, care providers, local authorities) and work with them to design and choose the focus of the study and develop recommendations. Doing this, we will swap ideas and share learning, which should encourage use of the research. We will also ask people who have helped us with the research to tell us what they learnt, if/how they have used the findings, and what we could do better. Innovation is a dynamic or changing process, involving many organisations and people. It needs to be understood in its particular context (e.g. support at home or a carers' group). So, we will develop illustrations or case studies of innovations around selected topics (e.g. integrating systems, making the most of human resources (people), promoting choice and control) to explore the process in-depth. We will explore how individuals, organisations and the wider context all influence innovation. We will focus on parts of adult social care where there is potential for a lot of learning (e.g. research evidence and capacity, stakeholder networks and knowledge leaders, organisational characteristics, 'misaligned' or 'perverse' incentives around costs and benefits). To develop more general claims about what influences innovation and what are the necessary conditions for it to flourish, we will study different types of innovations and conduct a national survey to test findings from the case studies. Informed and supported by strong and diverse user and carer involvement, our study should a) inform decision-making about how to foster the right conditions and policies for innovation to flourish in adult social care; b) inform the design and planning of innovations, work out what innovations are more likely to succeed, and gain learning from innovations; and c) provide evidence-based recommendations for policy, practice and research.

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