Auto-DAN aims to enable homes and small businesses across the EU to optimize their energy consumption and provide an assessment of the live energy performance of a building, taking into account the quality of appliances/systems installed, user operational habits and the smart readiness of a building. The solution is rooted in augmented intelligence which will focus on the assistive role automation will have in buildings, emphasizing that cognitive technology is designed to enhance human intelligence rather than replace it and the occupant is a proactive component of the building.
The project will deliver a framework that evaluates the actual energy performance of EU buildings and provide building users with the awareness to proactively optimize their energy use as follows:
IES are responsible for developing Digital Twin models of the different sets and applying Demand Response opportunities via the Digital Twin model and associated dashboards. The dashboards will alert the building user of actions they could take to save money or improve use of their energy generating assets. The Digital Twin will also be used to investigate different what-if scenarios for building renovation measures. Finally, based on the different test sites and associated models, IES will create a library of operational profiles for EU citizens’ usage of building appliances and systems, going beyond current outdated standards such as CIBSE or ASHRAE profiles.