UKRI has announced over £1 million of new funding across nine new digital energy data projects. The funding is being awarded through UKRI’s ‘Modernising Energy Data Applications (MEDA) phase 1’ competition.
Urbantide leads a project on supporting fuel poor households with data and AI (£149,512)
It will combine smart meter data with other cross-sector data sources to:
- identify households that would benefit from energy efficiency programmes
- identify households in fuel poverty
- propose an intervention approach, which can maximise energy reduction toward net-zero whilst reducing fuel poverty.
Alian leads a project using AI for low carbon technology site optimisation ( £145,176)
Farad AI has developed a digital twin of GB’s low voltage substations, giving project developers visibility of potential grid connections.
Brits Energy leads Net-zero operation map (£149,7930
It will develop an integrated technological platform to speed up or slow down crop growth by managing the energy input and link this with local grid energy flexibility requirements.
The aims is to integrate this flexible demand with grid demand-side response programmes.
City Science Corporation leads AI generative design tool for low-cost district heating networks ( £148,552)
Building a generative design tool that will automate the optimal design of district heat energy networks, avoiding the over-sizing that often increases capital costs and makes projects unviable.
Power My Hub leads Future energy & transport tool (£149,508)
To investigate, assess and develop energy data and other data sets to enhance the user journey for electric vehicles and develop a ‘longer journey’ checker features using energy and other data
Zuhlke Engineering leads electric vehicle infrastructure investor app ( £149,914)
For commercial investors in electric vehicle energy infrastructure who need up-to-date understanding of current and planned initiatives and the energy system as it changes in accordance with achieving the UK’s net-zero goals.
The app provides curated access to core standards compliant data and models, with a facility to build run-time simulations of investment models as a foundation for investors to elaborate more sophisticated investment models and intellectual property.
GL Industrial Services UK leads on smart metering leak detection ( £109,153)
Analysing the data that is already gathered by smart gas meters and use it to identify potentially dangerous gas leaks in houses and in planned maintenance and construction activities on the gas networks, when historical gas consumption data could be used to allow more efficient planning and operations. It could also identify appliances that are generating carbon monoxide.
Mind Foundry leads onenergy-focused geospatial system using multi-sectoral data to deliver net-zero ( £145,210)
Uses geospatial data, which combines location information with attribute and often temporal information, to help analyse sparse or incomplete data with respect to smart meters, electric vehicle (EV) uptake, EV charging type, locations and user profile for example.
Advanced Infrastructure Technology leads LAEPapps ( £150,000)
To assess the value of a local area energy planning (LAEP) big data analysis application that allows non-technical energy planners to rapidly model energy scenarios in close to real-time using a novel common analysis framework.
The application should build on the common data architecture from recent data projects
to reduce the cost of data acquisition and modelling. By maintaining data in up-to-date and geospatially mapped formats accessible on web-based visualisation platforms should remove data-as-a-barrier to LAEP analysis.