High-Resolution Domestic Energy Modelling for National Energy and Retrofit Planning (Papers Track)
Grace Colverd (University of Cambridge); Ronita Bardhan (University of Cambridge); Jonathan Cullen (University of Cambridge)
Abstract
The UK's building stock, responsible for 13% of national greenhouse gas emissions in 2023, plays a crucial role in meeting the country's ambitious 2030 emissions reduction target. With the UK currently off-track and the building sector's emissions reductions slowing since 2014, there is an urgent need for improved energy modelling and policy development. We introduce a novel dataset for small-neighbourhood energy modelling in England and Wales to address this challenge. Covering 614k postcodes, ranging from 5-150 households, our dataset integrates domestic energy consumption data with variables spanning building characteristics, local environment, and socio-demographics. This dataset offers a new level of granularity in national energy analysis. It can provide insights for retrofit planning, material stock analysis and energy policy, transforming approaches to small-scale energy analysis and supporting the UK's climate goals.