Wang, Meng;
Lilis, Georgios N;
Mavrokapnidis, Dimitris;
Katsigarakis, Kyriakos;
Korolija, Ivan;
Rovas, Dimitrios;
(2026)
Automated and scalable BIM2BEM framework with zoning-based model simplification leveraging knowledge graph integration.
Automation in Construction
, 182
, Article 106712. 10.1016/j.autcon.2025.106712.
(In press).
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Abstract
Accurate and scalable generation of Building Energy Models (BEM) from Building Information Modelling (BIM) data is critical for performance-driven building design. However, existing methods are often constrained by data quality issues and rigid workflows, limiting automation. This paper proposes an automated and scalable BIM-to-BEM (BIM2BEM) framework enabled by knowledge graph integration, designed to support automation and scalability in model generation from imperfect BIM data. To manage model complexity, zoning-based mappings from BIM spaces to thermal zones are derived through multi-factor analysis of spatial relationships, functional usage, thermal load similarity, and HVAC configuration. Applied to a real-world complex building, the framework reduces simulation time by up to 70%, while maintaining energy use deviations within 3% and HVAC sizing variations up to 10%, compared with the full-model baseline. These findings indicate that the proposed framework can enhance BIM2BEM automation, supporting the scalable and flexible generation of simulation-ready models under practical data limitations.
| Type: | Article |
|---|---|
| Title: | Automated and scalable BIM2BEM framework with zoning-based model simplification leveraging knowledge graph integration |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.autcon.2025.106712 |
| Publisher version: | https://doi.org/10.1016/j.autcon.2025.106712 |
| Language: | English |
| Additional information: | © The Author(s), 2025. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/ |
| Keywords: | BIM2BEM, Knowledge graph integration, Zoning-based model simplification, Geometric data processing |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10219000 |
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