We have a few exciting updates to announce!
Here's the headlines:
1. You can now identify which properties have existing rooftop PV installations to support accurate baselining for your area. This can be found in the Domestic and Non-Domestic Rooftop PV Potential datasets, in the field titled ‘Solar Presence’.
2. We’ve released complete coverage for existing insulation, even where buildings lack a lodged Energy Performance Certificate, inferred by our data team to improve retrofit modelling and more accurate scenario results.
3. Understand why a property has been deemed unsuitable for a low carbon technology using the new ‘Remark’ field in our modelled datasets.
4. You’ll also notice a range of improvements in Data Stories, including the ability to add Portfolios results in an interactive map view.
Check out the details below:
Data updates: Heat Demand (Domestic and Non-Domestic) | Methodology updates:
New data fields:
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Data updates: Rooftop PV Potential (Domestic and Non-Domestic) | Methodology updates:
The suitability thresholds have also been relaxed to classify East-West orientations as suitable. Previously, only buildings with South-facing roofs were classified as suitable.
New columns added:
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Data updates: Air Source Heat Pump Potential (Domestic and Non-Domestic) | Methodology updates:
1. The minimum required garden area for an air source heat pump has been updated in line with the 2025 amendment to the Town and Country Planning (General Permitted Development) Order - Class G, which removed the 1m boundary rule.
The area assessment now considers total garden area (front and back combined), where the old methodology considered only the back garden. You will notice a higher number of suitable properties than previous data iterations.
2. We now consider the most granular record within a building (child UPRN preferred over parent, and parent preferred over shell) to assess suitability. Previously, all UPRNs within a building were assessed individually regardless of their relationship to other units on the same site.
New columns added:
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Data updates: Ground Source Heat Pump Potential (Domestic and Non-Domestic) | Methodology updates:
We’ve used peak heat demand for each UPRN to calculate the minimum required area for a GSHP. New columns added:
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Data updates: Energy Performance Certificates (EPC) - Actual & Inferred - Domestic | Methodology updates:
Any remaining gaps are populated from insulation values from the nearest property with similar characteristics.
New columns added:
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Data updates: Low Carbon Technology Costs (Domestic and Non-Domestic) | These datasets have been refreshed to ensure all costings are based off of updated sizing recommendations from the above renewable potential datasets. |
Data Stories enhancements |
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Map enhancements | In our last update we released the Statistics tool, which allows users to quickly query datasets to generate key insights such as counts, averages, minimums, and maximums.
Now, you can run the same queries on pre-filtered data. For example, you could run a query to identify the total annual generation potential for all buildings where rooftop PV suitability is ‘true’.
You can also now view stacked datasets: Stacked datasets occur when there are multiple rows of information on the same point or geometry on the map.
For example: in the Addressbase Premium dataset, a single building may contain multiple Unique Property Reference Numbers (UPRNs):  |
Feature enhancements: Scenarios | Following the release of our Off Street Parking Potential dataset in the last release, you can now include EV Chargers in your Scenarios. Scenarios will use the Off Street Parking Potential dataset to allocate chargepoints to suitable domestic properties. |
As always, you can find ‘how-to’ guides and video guides in the Knowledgebase, as well as Live Chat support.