Data-Driven Local Area Energy Framework for Modelling Domestic Heat Electrification

This paper presents a spatially referenced energy-modelling framework of the domestic building stock of a Low-Voltage(LV) electrical sub-station (i.e. Ridgeway New) in Newcastle upon Tyne for area-based heat electrification project delivery. The framework brings together several public open sources of data to generate hourly energy consumption (i.e. heat fuel and electricity) for spatially referenced individual buildings . The simulation model has been validated against Government datasets and the results are presented at three spatial resolutions: LV-area; archetype; and individual building. Our discussion focuses on peak household energy demands highlighting that peak hourly ratios are significantly higher than expected. We also comment on the models’ assumptions and uncertainties.