Assessing data uncertainty in large-scale energy model

Under the recently approved EPBD (EU 2024/1275), European countries have to develop national building renovation plans relying on Urban Building Energy Modelling (UBEM) and building archetypes. This paper highlights the role of buildings archetypes by analysing the impact of key input parameters. Using a real case study from Aosta (Italy), composed by eighteen residential buildings segmented into three archetypes, this work assesses the influence of seven independent parameters through multiple linear regression. Results show that older buildings are most affected by wall thermal transmittance and heating set-point, while newer ones are mainly influenced by heating set-point and infiltration rate.