Helping planners and businesses deploy zero carbon innovations by mapping local energy assets, buildings, geography and social factors like fuel poverty
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 for the area.
LEAR has already been used in over 20 cities, towns, industrial clusters and rural councils across the UK. Each dataset provides a visualisation of the local energy systems, including data on: energy assets, buildings, geography and fuel poverty.
LEAR is powerful tool to visually understand the infrastructure, social and geographic factors present in any local area.