Helping planners and businesses deploy zero-carbon innovations by mapping local energy assets, buildings, geography, and social factors like fuel poverty.
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Identify the Net Zero opportunities and energy system challenges in your local area
Local Energy Asset Representation (LEAR) is a modelling tool that creates a visual baseline of energy assets within a local area to help planning and innovation for Net Zero.
Developed by Energy Systems Catapult, LEAR uses data analytics and aspects of machine learning to explore a wide range of datasets, including: energy demand, generation, storage and distribution assets, energy network constraints, social factors like fuel poverty, and characteristics like building types and local geography.
LEAR helps planners and innovators to strategically decide how they might deploy low-carbon technologies and grow clean tech businesses to meet energy efficiency and carbon emission targets in a cost-effective way.
This baseline helps to lead the way towards a Local Area Energy Plan (LEAP) for the area.
Visualise a wide range of local datasets
- Map local generation, storage, and distribution assets: Baseline of your current energy assets before developing a Net Zero strategy.
- Understand energy demand and network constraints: Baseline of your local grid assets, capacity, and demand before developing a Net Zero strategy.
- Identify local solar potential: Mapping the orientation of building roofs for solar installation.
- Understand off-street electric vehicle charging potential: Identifying homes with potential for off-street parking – with road access and a minimum 2.4m x 4.8m standard UK parking space.
- Identify social factors like fuel poverty: Help to better target innovative social interventions.
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