
Dept for Sci, Innovation & Tech (DSIT)
Dept for Sci, Innovation & Tech (DSIT)
51 Projects, page 1 of 11
assignment_turned_in Project2022 - 2025Partners:Ove Arup and Partners Ltd (Global), Department for Business, Energy and Industrial Strategy, Ground Source Heat Pump Association, Imperial College London, Energy Innovation Agency +12 partnersOve Arup and Partners Ltd (Global),Department for Business, Energy and Industrial Strategy,Ground Source Heat Pump Association,Imperial College London,Energy Innovation Agency,Energy Innovation Agency,Department for the Economy (NI),Ove Arup and Partners Ltd (Global),Mott Macdonald UK Ltd,IF Technology,IF Technology,Dept for Sci, Innovation & Tech (DSIT),Mott Macdonald (United Kingdom),Department for the Economy (NI),Ground Source Heat Pump Association,City of London Corporation,Dept for Business, Innovation and SkillsFunder: UK Research and Innovation Project Code: NE/X005607/1Funder Contribution: 965,967 GBPThe UK uses around 50 GW of energy to heat and cool buildings with only 6% delivered from renewable sources. Heating of buildings represents almost a quarter of UK carbon emissions, while demand for cooling is projected to increase as the climate warms and summers become hotter. The UK Heat and Buildings Strategy is clear that action to reduce emissions is required now to facilitate compliance with legally binding 2050 Net Zero targets. Moreover, the current geopolitical uncertainty has highlighted the risks associated with importing energy. However, heat is challenging to decarbonise due to its extreme seasonality. Daily heat demand ranges from around 15 to 150 GW, so new green technologies for inter-seasonal storage are essential. Geothermal resources offer natural heat energy, very large-scale seasonal energy storage, cooling as well as heating, and steady, low carbon energy supply. Widespread exploitation of urban geothermal resources could deliver a significant component - and in some cases all - of the UK's heating and cooling demand, supporting UK self-sufficiency and energy security. However, barriers remain to uptake of geothermal energy, especially at large-scale in urban areas. There is uncertainty in the size of the underground resource, the long-term sustainability of urban geothermal deployments, and potential environmental impacts. New methods and tools are required to monitor and manage installations to ensure the resource is responsibly used. These knowledge gaps, along with lack of awareness and guidance available for stakeholders and decision makers, result in higher than necessary risks and therefore costs. In this project, we will remove obstacles to uptake by reducing uncertainty about how the ground behaves when used to store and produce heat and cool at a large scale in urban areas. We will focus on relatively shallow (<400m depth) geothermal resources and open-loop systems in which groundwater is pumped into and out of porous, permeable aquifer rocks underground, because these offer large storage capacity and can deliver heat and cool. Shallow, open-loop systems are also deployable in most UK urban areas and have lower investment costs than technologies which require deeper drilling. We will conduct advanced field experiments with state-of-the-art monitoring, supported by laboratory experiments, to determine the response of aquifers to storage and exploitation of heat and use the results to understand how temperature changes over a wide area as groundwater flow transfers heat within the aquifer. We will compare two different aquifers, with contrasting types of underground flow regimes, that can be exploited across much of the UK. We will also determine how temperature changes impact groundwater quality and stress ecological environments and sensitive receptors, as well as understand any risks of ground movement caused by use of the resource. The field data will be used to create calibrated heat flow models, which we can use as a 'numerical laboratory' to simulate and explore the capacity of urban geothermal and how different installations within a city might interact. The results will support planning of future resource use and assess the capacity of geothermal resources to store waste heat from industrial processes and commercial buildings and return it later when needed. We will explore the use of AI-based models that can 'learn' from data provided by geothermal operators to actively manage the resource in a responsible and integrated way. Together, this research will permit regulators to plan and permit installations to ensure fairness and prevent environmental damage, as well as ensuring system designs realistically predict the amount of energy available. Recommendations will be made for resource assessment, safe and sustainable operation and management, to stimulate the widespread development of low carbon, geothermally heated and cooled cities.
more_vert assignment_turned_in Project2021 - 2025Partners:Atkins (United Kingdom), E.ON UK PLC, Atkins Global, isoenergy, E-ON UK plc +25 partnersAtkins (United Kingdom),E.ON UK PLC,Atkins Global,isoenergy,E-ON UK plc,Geotechnical Consulting Group (United Kingdom),Hubbard Products (United Kingdom),Department for Business, Energy and Industrial Strategy,Cementation Skanska,Ove Arup & Partners Ltd,Leicester City Council,ENERCRET Ltd,Geotechnical Consulting Group Ltd,Mitsubishi Electric R&D Centre Europe BV,isoenergy,Arup Group Ltd,PCM Products Limited,LEICESTER CITY COUNCIL,Cementation Skanska Limited,Arup Group,Leicester City Council,ENERCRET Ltd,GCG,Atkins Global (UK),Hubbard Products Limited,Imperial College London,Mitsubishi Electric R&D Centre Europe BV,E.On UK Plc,Dept for Sci, Innovation & Tech (DSIT),Dept for Business, Innovation and SkillsFunder: UK Research and Innovation Project Code: EP/V042149/1Funder Contribution: 1,520,500 GBPThrough the 2008 Climate Change act, the UK committed to reduce by 80% its carbon emissions. While great progress has been made so far, data suggests that reductions in emissions have been achieved through switching electricity production to greener, more environmentally friendly sources, such as offshore wind. Clearly, it is inevitable that, to achieve further reductions in carbon emissions, we need to look for improvements elsewhere, such as heating and cooling of buildings, which accounts for 25% of all UK final energy consumption and 15% of carbon emissions. Project SaFEGround aims to provide a template for reducing emissions associated to heating and cooling through the deployment of heat pumps. These are efficient devices capable of extracting heat from a storage medium, e.g. air for air-source heat pumps or the ground for ground-source heat pumps, and this is done with high efficiency, since for each unit of electricity consumed by the system, it is usual to get 3-4 units of heat. Clearly, these are more environmentally-friendly than boilers as they require only electricity, which, as mentioned above, is increasingly being generated from renewable and low-carbon sources. Therefore, SaFEGround will investigate how ground-source heat pumps can be coupled with civil engineering structures to deliver low-carbon heating and cooling in a sustainable, safe and efficient manner. To achieve this, SaFEGround will combine research on material science, heat pump technology, energy geotechnics, building energy systems modelling, whole-system modelling and finance, to demonstrate that ground source energy systems can play an important role in the UK's future low-carbon energy mix in a cost-effective manner.
more_vert assignment_turned_in Project2016 - 2018Partners:Dept for Sci, Innovation & Tech (DSIT), Resolution Foundation, Department for Business, Energy and Industrial Strategy, University of Westminster, University of Westminster +6 partnersDept for Sci, Innovation & Tech (DSIT),Resolution Foundation,Department for Business, Energy and Industrial Strategy,University of Westminster,University of Westminster,Dept for Business, Innovation and Skills,The Resolution Foundation,DEPARTMENT FOR WORK AND PENSIONS,HMG,DWP,Department for Work and PensionsFunder: UK Research and Innovation Project Code: ES/P000975/1Funder Contribution: 161,719 GBPThis study attempts to answer the following questions: 1. How do things like truancy, coming from a less affluent background, family breakdown and a range of other factors that pupils experience at school; lead to poor educational and labour market (employment and earnings) outcomes? 2. Do we see different impacts (for instance on the likelihood of securing good wages) when similar students attend different post-16 educational institutions, such as Further Education, Sixth Form College or School Sixth Form? Does it make any difference to a young person's prospects if they achieve the same level of qualification in these different institutions; and do we see children from rich and poor backgrounds making very different decisions from age 16 and above? 3. How accurately are we able to predict the employment and earnings outcomes for different students, using all the information on their background, learning and achievement in schools and colleges? At its heart the project seeks to analyse and assess the educational and labour market pathways followed by the half of young people who do not pursue university level education, and therefore contributes to the government's social mobility agenda; emphasised by David Cameron as a key priority for government in his Oct 2015 conference speech. The research proposed here will be of key interest to government and the Social Mobility Commission charged by the government to address Britain's poor record on social mobility. When we talk of social mobility, we are interested in the extent to which children born to poorer families can make the journey to high paid jobs and professional careers. More generally, a lack of social mobility is a situation where being born to poverty, riches or somewhere in between, means that you are likely to find yourself in the same position as your parents, no matter how hard you try and whatever your talents. Unfortunately, the evidence over recent decades has been that there is less social mobility in the UK than in other similar countries. The administrative data we will use to carry out this study is routinely collected by the parts of government that collect taxes (HMRC), deal with unemployment support (DWP), are responsible for Further Education (BIS) and learning in schools (DfE). This is a very important and useful resource, as it has the potential to overcome some of the limitations we face when using surveys (not least that we observe all people in the relevant populations, not just a relatively small sample). However, it is a complicated process to link these datasets and a large part of this project will be taken up with this process of linking. As well as finding out what impact truancy has on a young person's performance at school, up to the age of 15 when they get their GCSE results (and results from other equivalent qualifications); we will try to find out if this truancy continues to have an impact even when they leave school. Consider another example: we will shed new light on the extent to which disadvantaged young people, with a good set of educational choices facing them at age 15, are seen to make 'bad' choices; when compared to their more advantaged peers, facing the same choice sets. Similarly, the study will shed light on the choices made by young people from age 16+ who are from more advantaged backgrounds, who we see facing a more limited set of educational choices at 15; and how these differ to young people from disadvantaged backgrounds facing the same limited choices.
more_vert assignment_turned_in Project2021 - 2024Partners:Freshwater Habitats Trust, Proudman Oceanographic Laboratory, UNIVERSITY OF EXETER, UHI, Cardiff University +49 partnersFreshwater Habitats Trust,Proudman Oceanographic Laboratory,UNIVERSITY OF EXETER,UHI,Cardiff University,NATIONAL OCEANOGRAPHY CENTRE,UNIVERSITY OF CAMBRIDGE,University of Liverpool,CARDIFF UNIVERSITY,Severn Trent Group,Cambridge Integrated Knowledge Centre,University of the Highlands and Islands,UK CENTRE FOR ECOLOGY & HYDROLOGY,University of Leeds,Loughborough University,LVM,University of Cambridge,UK Ctr for Ecology & Hydrology fr 011219,Welsh Water (Dwr Cymru),Dept for Sci, Innovation & Tech (DSIT),DCWW,University of Liverpool,University of Birmingham,SEVERN TRENT WATER LIMITED,PML,Finnish Meteorological Institute,THE RIVERS TRUST,Swansea University,University of Exeter,University of Exeter,Swansea University,National Oceanography Centre (WEF011019),Loughborough University,NERC Centre for Ecology & Hydrology,Durham University,University of Leeds,Broads Authority,NTU,Freshwater Habitats Trust,University of Birmingham,Broads Authority,Dwr Cymru Welsh Water (United Kingdom),FMI,South West Water Limited,University of Nottingham,Department for Business, Energy and Industrial Strategy,The Rivers Trust,Durham University,SWW,Association of Rivers Trusts,Freshwater Habitats Trust,PLYMOUTH MARINE LABORATORY,Dept for Business, Innovation and Skills,Cardiff UniversityFunder: UK Research and Innovation Project Code: NE/V01627X/1Funder Contribution: 994,280 GBPLand-use and agriculture are responsible for around one quarter of all human greenhouse gas (GHG) emissions. While some of the activities that contribute to these emissions, such as deforestation, are readily observable, others are not. It is now recognised that freshwater ecosystems are active components of the global carbon cycle; rivers and lakes process the organic matter and nutrients they receive from their catchments, emit carbon dioxide (CO2) and methane to the atmosphere, sequester CO2 through aquatic primary production, and bury carbon in their sediments. Human activities such as nutrient and organic matter pollution from agriculture and urban wastewater, modification of drainage networks, and the widespread creation of new water bodies, from farm ponds to hydro-electric and water supply reservoirs, have greatly modified natural aquatic biogeochemical processes. In some inland waters, this has led to large GHG emissions to the atmosphere. However these emissions are highly variable in time and space, occur via a range of pathways, and are consequently exceptionally hard to measure on the temporal and spatial scales required. Advances in technology, including high-frequency monitoring systems, autonomous boat-mounted sensors and novel, low-cost automated systems that can be operated remotely across multiple locations, now offer the potential to capture these important but poorly understood emissions. In the GHG-Aqua project we will establish an integrated, UK-wide system for measuring aquatic GHG emissions, combining a core of highly instrumented 'Sentinel' sites with a distributed, community-run network of low-cost sensor systems deployed across UK inland waters to measure emissions from rivers, lakes, ponds, canals and reservoirs across gradients of human disturbance. A mobile instrument suite will enable detailed campaign-based assessment of vertical and spatial variations in fluxes and underlying processes. This globally unique and highly integrated measurement system will transform our capability to quantify aquatic GHG emissions from inland waters. With the support of a large community of researchers it will help to make the UK a world-leader in the field, and will facilitate future national and international scientific research to understand the role of natural and constructed waterbodies as active zones of carbon cycling, and sources and sinks for GHGs. We will work with government to include these fluxes in the UK's national emissions inventory; with the water industry to support their operational climate change mitigation targets; and with charities, agencies and others engaged in protecting and restoring freshwater environments to ensure that the climate change mitigation benefits of their activities can be captured, reported and sustained through effectively targeted investment.
more_vert assignment_turned_in Project2013 - 2019Partners:Dept for Business, Innovation and Skills, Halcrow Group Ltd, Health and Safety Executive, SMRE, Flood Forecasting Centre FFC +29 partnersDept for Business, Innovation and Skills,Halcrow Group Ltd,Health and Safety Executive,SMRE,Flood Forecasting Centre FFC,Dutch Ministry of Infrastructure & Envir,Met Office,MET OFFICE,UPC,Department for Business, Energy and Industrial Strategy,University of Reading,Ministry of Infrastructure and the Environment,PUBLIC HEALTH ENGLAND,JBA Consulting,Halcrow Group Limited,Met Office,Public Health England,Dept for Sci, Innovation & Tech (DSIT),DHSC,European Centre for Medium Range Weather,Joint Research Centre,Ministry of Infrastructure and the Env,Health and Safety Executive (HSE),Swedish Meteorological & Hydro Institute,UNIVERSITY OF READING,Inst for Environment & Sustainability,Flood Forecasting Centre FFC,Swedish Meteorological & Hydrology Insti,Institute for Environment and Sustainabi,PHE,ECMWF,[no title available],ECMWF (UK),JBA ConsultingFunder: UK Research and Innovation Project Code: NE/K00896X/1Funder Contribution: 1,281,580 GBPProject SINATRA responds to the NERC call for research on flooding from intense rainfall (FFIR) with a programme of focused research designed to advance general scientific understanding of the processes determining the probability, incidence, and impacts of FFIR. Such extreme rainfall events may only last for a few hours at most, but can generate terrifying and destructive floods. Their impact can be affected by a wide range factors (or processes) such as the location and intensity of the rainfall, the shape and steepness of the catchment it falls on, how much sediment is moved by the water and the vulnerability of the communities in the flood's path. Furthermore, FFIR are by their nature rapid, making it very difficult for researchers to 'capture' measurements during events. The complexity, speed and lack of field measurements on FFIR make it difficult to create computer models to predict flooding and often we are uncertain as to their accuracy. To address these issues, NERC launched the FFIR research programme. It aims to reduce the risks from surface water and flash floods by improving our identification and prediction of the meteorological (weather), hydrological (flooding) and hydro-morphological (sediment and debris moved by floods) processes that lead to FFIR. A major requirement of the programme is identifying how particular catchments may be vulnerable to FFIR, due to factors such as catchment area, shape, geology and soil type as well as land-use. Additionally, the catchments most susceptible to FFIR are often small and ungauged. Project SINATRA will address these issues in three stages: Firstly increasing our understanding of what factors cause FFIR and gathering new, high resolution measurements of FFIR; Secondly using this new understanding and data to improve models of FFIR so we can predict where they may happen - nationwide and; Third to use these new findings and predictions to provide the Environment Agency and over professionals with information and software they can use to manage FFIR, reducing their damage and impact to communities. In more detail, we will: 1. Enhance scientific understanding of the processes controlling FFIR, by- (a) assembling an archive of past FFIR events in Britain and their impacts, as a prerequisite for improving our ability to predict future occurrences of FFIR. (b) making real time observations of flooding during flood events as well as post-event surveys and historical event reconstruction, using fieldwork and crowd-sourcing methods. (c) characterising the physical drivers for UK summer flooding events by identifying the large-scale atmospheric conditions associated with FFIR events, and linking them to catchment type. 2. Develop improved computer modelling capability to predict FFIR processes, by- (a) employing an integrated catchment/urban scale modelling approach to FFIR at high spatial and temporal scales, modelling rapid catchment response to flash floods and their impacts in urban areas. (b) scaling up to larger catchments by improving the representation of fast riverine and surface water flooding and hydromorphic change (including debris flow) in regional scale models of FFIR. (c) improving the representation of FFIR in the JULES land surface model by integrating river routing and fast runoff processes, and performing assimilation of soil moisture and river discharge into the model run. 3. Translate these improvements in science into practical tools to inform the public more effectively, by- (a) developing tools to enable prediction of future FFIR impacts to support the Flood Forecasting Centre in issuing new 'impacts-based' warnings about their occurrence. (b) developing a FFIR analysis tool to assess risks associated with rare events in complex situations involving incomplete knowledge, analogous to those developed for safety assessment in radioactive waste management. In so doing SINATRA will achieve NERC's science goals for the FFIR programme.
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