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Cheng, Z, Ke, Y, Yang, Z, Cai, J and Wang, H (2020) Diversification or convergence. Engineering, Construction and Architectural Management, 27(06), 1315–35.
Gunduz, M and Elsherbeny, H A (2020) Critical assessment of construction contract administration using fuzzy structural equation modeling. Engineering, Construction and Architectural Management, 27(06), 1233–55.
Gurgun, A P and Koc, K (2020) Contractor prequalification for green buildings—evidence from Turkey. Engineering, Construction and Architectural Management, 27(06), 1377–400.
Löwstedt, M and Sandberg, R (2020) Standardizing the free and independent professional. Engineering, Construction and Architectural Management, 27(06), 1337–55.
Le, P T, Chileshe, N, Kirytopoulos, K and Rameezdeen, R (2020) Investigating the significance of risks in BOT transportation projects in Vietnam. Engineering, Construction and Architectural Management, 27(06), 1401–25.
Li, J, Zuo, J, Jiang, W, Zhong, X, Li, J and Pan, Y (2020) Policy instrument choice for construction and demolition waste management: the case study of Shenzhen, China. Engineering, Construction and Architectural Management, 27(06), 1283–97.
Madson, K M, Franz, B, Molenaar, K R and Okudan Kremer, G (2020) Strategic development of flexible manufacturing facilities. Engineering, Construction and Architectural Management, 27(06), 1299–314.
Olawumi, T O and Chan, D W (2020) Key drivers for smart and sustainable practices in the built environment. Engineering, Construction and Architectural Management, 27(06), 1257–81.
Vieira, R, Carreira, P, Domingues, P and Costa, A A (2020) Supporting building automation systems in BIM/IFC: reviewing the existing information gap. Engineering, Construction and Architectural Management, 27(06), 1357–75.
- Type: Journal Article
- Keywords: Building automation; Building information modeling; IFC;
- ISBN/ISSN: 0969-9988
- URL: https://doi.org/10.1108/ECAM-07-2018-0294
- Abstract:
Despite the continuous development of Building Information Modeling (BIM) standards, not all of its dimensions are supported to the same extent. This is the case of Building Automation Systems (BAS) in which the features that are limited mostly to physical setup of devices are supported. These are largely insufficient to support modeling automation scenarios. The purpose of this article is to clarify the gap in the state of the art and define the need for further developments.Design/methodology/approach This article explores the existing gap in the literature and discusses the hypothesis of extending BIM to a wider support of BA concepts. Based on an assessment of scientific and technical literature, this study elicits the information requirements of BA and performs a gap analysis with current BIM standards, such as Industry Foundation Classes (IFC).Findings Our findings lead us to conclude that there is a lack of completeness regarding features from BAS automation and management levels. Furthermore, it is shown that IFC is the most adequate data model to cover BAS without losing its purpose, but there is still a considerable work that needs to be addressed in future research.Originality/value BIM standards such as IFC position themselves as natural candidates for modeling and exchanging information regarding BA. However, the extent to which BIM supports automation features has never been rigorously analyzed. This article explores the existing gap in the literature and discusses the hypothesis of extending BIM to a wider support of BA concepts. Based on an assessment of scientific and technical literature, this study elicits the information requirements of BA and performs a gap analysis with current BIM standards such as IFC.