Improving building performance is key tackling the challenges of climate change, considering that they account for 40% of the global energy consumption. Sustainability labels and Energy Performance Certificate (EPC), notably CECB (CH) and NatHERS (AU), aim to address this. However, EPCs certify the design and rely on simulations and assumptions regarding the buildings’ construction and operation.
Previous studies highlighted the gap between expectations set by energy labels and reality, reflected in higher energy bills and environmental impacts, driven particularly by modelling uncertainty in indoor temperature and ventilation rate. More research is needed to understand how to integrate these into EPC processes. The project aims to understand the impacts of indoor temperature and ventilation rate through a complementary approach using big data analysis and experiments with human participants. These two perspectives will enable the identification of improvements to the EPC methodology.
Arianna Brambilla, University of Sydney
Martin K. Patel, University of Geneva