UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Semi-automated extraction of HVAC system topology from imperfect Building Information Models

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. Green open access

[thumbnail of Mavrokapnidis et al. - 2023 - Semi-automated extraction of HVAC system topology .pdf]
Preview
Text
Mavrokapnidis et al. - 2023 - Semi-automated extraction of HVAC system topology .pdf - Accepted Version

Download (3MB) | Preview

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.

Type: Proceedings paper
Title: Semi-automated extraction of HVAC system topology from imperfect Building Information Models
Event: 18th Conference of the International Building Performance Simulation Association, BS 2023
Location: Shanghai, China
Dates: 4 Sep 2023 - 6 Sep 2023
Open access status: An open access version is available from UCL Discovery
Publisher version: https://bs2023.org/index
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
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/10178834
Downloads since deposit
79Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item