With growing decarbonization goals, electricity sectors are rapidly transitioning to renewable sources and increased use of heat pumps, and EVs. Energy flexibility—active management of energy use—is crucial, especially when considering the intermittent nature of renewable energy, as well as the increasing dynamics of electricity demand in buildings. As electrification becomes a key strategy for building decarbonization, demand-side energy flexibility is increasingly seen as critical in balancing the electric power supply and demand for buildings. However, the quantification of energy flexibility potential in buildings using real measured data, particularly at a cluster level, remains limited.

This PhD research aims to quantify the energy flexibility potential and requirements at appliance level in UK homes using energy use data from the Smart Energy Research Lab (SERL). The work will explore energy flexibility potentials in terms of higher renewable energy integration, peak load shaving, and grid stability. The research will use a data-driven methodology involving smart meter data analysis, pattern recognition, and advanced modelling techniques to quantify and forecast energy demands. The findings will provide behind-the-meter interventions for balancing building energy demand and supply.