As the UK continues its transition to low-carbon technologies, understanding how electricity is used in homes is becoming increasingly important. This research explores residential electricity demand in depth, examining how various household characteristics and distributed energy technologies influence peak demand and its impact on local electricity networks. It also investigates how the timing and resolution of electricity data affect the accuracy of demand analysis. By analysing future scenarios of technology adoption, the project aims to identify key drivers of peak demand and provide insights to support more resilient and informed electricity network planning.
Profile
Megan studied an undergraduate degree in Mathematics and Physics, graduating in 2020 from the University of Warwick. After her studies, she undertook a placement in industry which involved creating a model for battery degradation, utilising historic data of various assets operating in the FFR market and for energy arbitrage services, using Python. This led her to ultimately undertake a master’s degree in Sustainable Energy Engineering from the University of Nottingham, graduating in 2021. Following on from this, she worked in Building Physics for a year in an M&E company, specifically in building energy modelling, before joining ERBE for the 2022 cohort.
Assessing the impact of residential electrification on UK LV networks



