Data driven approach to identifying building retrofit pathways in the context of rapid energy system decarbonisation

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In recent years there have been significant advances in characterising the thermal performance of buildings from large time-series data sets of measurements taken by in situ sensors. Combining the thermal performance estimation from such analysis with details of the building's characteristics will provide the opportunity to predict energy savings from specific retrofit measures. It will also enable a robust assessment of the suitability of low carbon technologies, such as heat pumps, to deliver the required heat to properties.The successful candidate will be trained within our vibrant ERBE CDT community and join an active and supportive research group: The Physical Characterisation of Buildings.This PhD aims to develop a new method to combine the estimated energy performance of properties with supplementary physical data to provide detailed insights into building performance and how this varies over a year. This building characterisation will enable the impact of different heating technologies and control strategies to be assessed. The PhD will therefore support effective decision making to enable flexible, or smart, operation of heating, whereby appliances are controlled to support balancing the grid - essential for decarbonisation.