Urban building energy modelling is increasingly used to support carbon-neutral planning. However, bottom-up methods rely heavily on administrative building data that were not designed for analytical reuse. This study examines how structural data quality issues in digital building logbooks affect large-scale physics-based modelling and how these possible limitations can be mitigated. Using the Estonian Building Registry as an established logbook example, data completeness, correctness, and consis
Improving the reliability of urban building energy modelling through automated data processing
Targo Kalamees
