Architecture Engineers Award

Accurate thermal transmittance (U-value) information for building envelopes is fundamental to energy performance modelling, retrofit prioritization, and large-scale decarbonization strategies. However, incomplete datasets particularly missing U-values in existing building stock records—pose a major obstacle to evidence-based decision-making. This study addresses this challenge by systematically evaluating data imputation methods to enhance the reliability and usability of large building energy datasets. Challenges of Missing Envelope Performance Data In many national and municipal building databases, U-values are frequently absent due to inconsistent data collection, legacy construction records, or reporting gaps. Such missing values undermine the accuracy of energy simulations and retrofit impact assessments, leading to uncertainty in policy planning and investment decisions. Addressing these gaps requires imputation methods that balance accuracy, robustness, and computational effi...