SmartLivingEPC will provide information in relation to the operational behaviour of the building, by introducing a new rating scale, based on a weighted approach of life cycle performance aspects, building smartness assessment and information on the actual performance of the technical systems of buildings provided by technical audits. The new methodologies to be developed, will be based on existing European standards, whereas at the same time, they will trigger the development of new technical standards for smart energy performance certificates. The new certification scheme will also expand its scope, covering aspects related to water consumption, as well as noise pollution and acoustics. SmartLivingEPC certificate will be fully compatible with digital logbooks, as well as with building renovation passports in order to allow the integration of the building energy performance information in digital databases. A special aspect of SmartLivingEPC will be its application in building complexes, with the aim of energy certification at the neighbourhood scale. SmartLivingEPC aspires to develop two parallel schemes, one at the building level (Building EPC) and one at the level of building complex level (Complex EPC), with the ultimate goal in the near future of certification of building complexes, based on the certification of individual units, as well as on additional aspects following an integrated participatory and neighborhood based approach. 16 partners from 12 European countries will collaborate and provide their expertise and resources within the 36 months of SmartLivingEPC lifetime.
Intelligent data processing and management of building information plays a crucial role towards the digitisation and issuing of Energy Performance Certificates (EPCs). Offering its integrated, cloud-based solution that encapsulates data storage, serialisation and deserialisation functionalities as well as visualisation tools, QUE aims to support the energy performance assessment and issuing of modern EPCs that stretch beyond the building level and towards the neighbourhood scale.
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101069639.