This dataset shows the suitability of domestic properties for the installation of an Air Source Heat Pump (ASHP).
This dataset shows the suitability of domestic properties for the installation of an Air Source Heat Pump (ASHP). This dataset takes into account the building size, property size, building heat demand and distance to neighbouring properties. This dataset does not include non-domestic properties or blocks of flats.
Project RESOP (Regional Energy System Optimisation Planning) aims to take a ‘whole system’ approach, by drawing together data from multiple sources into a single tool that can be used to plan retrofit and roll out of low carbon technologies (LCTs) like electric vehicle charge points.
In November 2021, following a public tender process, Advanced Infrastructure was appointed to provide an energy mapping tool for project LEO utilising Advanced Infrastructure’s LAEP+ software service. This provided an excellent opportunity to test and validate the value of geospatial solutions for local area energy planning.
In June 2021, Advanced Infrastructure and EB Charging were awarded funding from the Office for Zero Emission Vehicles to specify and build a cloud-based siting tool for EV charge points. The output was EV Site, an EV focussed instance of our planning tool LAEP+. Advanced Infrastructure’s Head of Product, Lily Cairns Haylor, discusses the challenges of siting EV charge points at scale and the ways digital approaches might accelerate the tricky process.
In collaboration with the Centre for Net Zero, Octopus Energy's not-for-profit spin out, we examined the impact of heat pump uptake between 2021 and 2031. For London Climate Action Week 2021 we visualised and compared a winter's peak in 2021, where Londoners are primarily kept warm by gas, to a winter's peak in 2031 where the rollout of 40,000 heat pumps shift heating demand from the gas network to the electricity network.
An air source heat pump uses heat from the air outside your home to heat water within the heat pump. This can then be used for radiators, underfloor heating and hot water.
At a minimum, the data is refreshed bi-annually, or in line with major updates to input datasets like PAF and ONS.
The dataset is built from publicly available information and augmented by shared data from EPCs, ONS, Ordnance Survey and other property datasets. We augment these datasets with additional proprietary methods including manual and automated clearing, rationalisation in order to infill data blackspots.