Lessons learnt from the integration of open data and semantic 3D city models for urban building energy modelling in the Netherlands
C. León-Sánchez (TU Delft - Urban Data Science)
G. Agugiaro (TU Delft - Urban Data Science)
J. Stoter (TU Delft - Urbanism)
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Abstract
This paper presents the lessons learnt from the integration of open datasets in the Netherlands for the creation of a country-wide enriched semantic 3D city model for urban building energy modelling. Although the Netherlands provides open access to building data up to the dwelling level, several challenges still remain related to data fragmentation, inconsistency, and incompleteness. The resulting dataset uses the CityGML with the Energy ADE data model since they offer a robust framework for integrating geospatial and non-geospatial data for energy applications. Our research highlights the need for significant preprocessing, harmonisation pipelines, and enrichment strategies to address gaps in data completeness and reliability. Finally, we identify critical missing data (e.g., renovation history, thermal zoning, and detailed HVAC specifications) and propose directions for improvement.
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