Shell launches smart hybrid heat system using machine learning

Shell is to use machine learning for the management of hybrid domestic heat pumps in a new partnership with PassivSystems. The B-Snug system for domestic customers uses machine learning to continuously monitor the temperature in the home and analyses weather forecasts to automatically switch between an air source heat pump and traditional boiler. The technology platform is designed so that the heat pump is prioritised whenever possible, PassivSystems said. Due to the prioritisation of heat from an electric source, the initiative is set to reduce carbon emissions from domestic properties. Colin Calder, CEO at PassivSystems, said there is a "clear message" from the Committee on Climate Change (CCC) that homes must be decarbonised for net zero and that the launch of the hybrid heating system directly contributes to the CCC's goal of deploying 10 million hybrids by 2035.