Mavrokapnidis, Dimitrios; Lilis, Georgios; Katsigarakis, Kyriakos; Korolija, Ivan; Rovas, Dimitrios; (2023) Semi-automated extraction of HVAC system topology from imperfect Building Information Models. In: Proceedings of the 18th Conference of the International Building Performance Simulation Association, BS 2023. IBPSA: Shanghai, China.

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Abstract

Knowledge of the HVAC system topology is required in several design and operation activities, including setting up building energy simulation models, fault detection and control applications, and facility management tasks. In theory, we can use the geometric context captured in Building Information Models (BIM) to infer these topological relationships; in practice, these models are far from perfect, with modelling errors and omissions. The implication is that manual remodelling is required, which results in unnecessary and redundant work. This paper discusses first the data quality issues faced in real-world data transformation workflows. We propose a methodology for generating good-quality HVAC topological models from imperfect BIM models. Our method’s core is a rule-based model-checking framework to identify missing elements. Once an issue is detected, a geometric-relationship enrichment tool is invoked to infer missing topological information. The proposed approach is tested in a real-world complex BIM model, and we discuss lessons learnt.

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