Chatzivasileiadi, Aikaterini  ORCID: https://orcid.org/0000-0001-5413-466X, Demir Dilsiz, Aysegul, Lannon, Simon ORCID: https://orcid.org/0000-0003-4677-7184, Denzer, Anthony, Macy, Luke, BK, Satish, Perisoglou, Emmanouil ORCID: https://orcid.org/0000-0002-7295-6058, Jafar, Rawan, Haddad, Kamal and Al Qaed, Abeer
2026.
Digital Twin-oriented workflows for building energy modeling: Balancing Level of Detail, data resolution, and model accuracy.
Presented at: SimBuild 2026,
Minneapolis, MN, USA,
20-22 May 2026.
Proceedings of SimBuild Conference 2026.
IBPSA,
pp. 570-582.
10.26868/30680611.2026.1339
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Abstract
Digital Twins (DTs) offer significant potential for improving building energy modeling, yet the trade-offs among model Level of Detail (LoD), data resolution, and predictive accuracy remain poorly quantified. This study presents a comparative, replicable framework that evaluates multiple geometry-generation pathways, zoning strategies, and operational data inputs using a sensored university building as a testbed. By examining data-light and data-rich configurations, the framework identifies how geometry fidelity, occupancy schedules, and ventilation measurements influence simulation performance. The study provides evidence-based guidance for selecting LoD and sensing strategies to support efficient, scalable DT development that will be integrated into energy predictions.
| Item Type: | Conference or Workshop Item - published (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Architecture |
| Additional Information: | RRS policy applied |
| Publisher: | IBPSA |
| Date of First Compliant Deposit: | 22 April 2026 |
| Last Modified: | 09 Jun 2026 10:00 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/186483 |
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