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Article

Towards an Interoperable Approach for Modelling and Managing Smart Building Data: The Case of the CESI Smart Building Demonstrator

1
Digital Built Environment Research Group, Northumbria University Newcastle, Newcastle-upon-Tyne NE7 7YT, UK
2
Centre de Paris-Nanterre, CESI Ecole d’Ingénieurs, 92000 Nanterre, France
*
Author to whom correspondence should be addressed.
Academic Editor: Kheir Al-Kodmany
Buildings 2022, 12(3), 362; https://doi.org/10.3390/buildings12030362
Received: 8 February 2022 / Revised: 7 March 2022 / Accepted: 12 March 2022 / Published: 16 March 2022
(This article belongs to the Special Issue AI-Aided Carbon Engineering in the AEC Industry)
Buildings have a significant impact on energy consumption and carbon emissions. Smart buildings are deemed to play a crucial role in improving the energy performance of buildings and cities. Managing a smart building requires the modelling of data concerning smart systems and components. While there is a significant amount of research on optimising building energy using the smart building concept, there is a dearth of studies investigating the modelling and management of smart systems’ data, which is the starting point for establishing the necessary digital environment for representing a smart building. This study aimed to develop and test a solution for modelling and managing smart building information using an industry foundation classes (IFCs)-based BIM process. A conceptual model expressed in the SysML language was proposed to define a smart building. Five BIM approaches were identified as potential ‘prototypes’ for representing and exchanging smart building information. The fidelity of each approach is checked through a BIM-based validation process using an open-source visualisation platform. The different prototypes were also assessed using a multi-criteria comparison method to identify the preferred approach for modelling and managing smart building information. The preferred approach was prototyped and tested in a use case focused on building energy consumption monitoring to evaluate its ability to manage and visualise the smart building data. The use case was applied in a real case study using a full-scale demonstrator, namely, the ‘Nanterre 3’ (N3) smart building located at the CESI campus in Paris-Nanterre. The findings demonstrated that an open BIM format in the form of IFCs could achieve adequate modelling of smart building data without information loss. Future extensions of the proposed approach were finally outlined. View Full-Text
Keywords: energy efficiency; smart building; building renovation; interoperability; systems engineering; IFC; BIM energy efficiency; smart building; building renovation; interoperability; systems engineering; IFC; BIM
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MDPI and ACS Style

Doukari, O.; Seck, B.; Greenwood, D.; Feng, H.; Kassem, M. Towards an Interoperable Approach for Modelling and Managing Smart Building Data: The Case of the CESI Smart Building Demonstrator. Buildings 2022, 12, 362. https://doi.org/10.3390/buildings12030362

AMA Style

Doukari O, Seck B, Greenwood D, Feng H, Kassem M. Towards an Interoperable Approach for Modelling and Managing Smart Building Data: The Case of the CESI Smart Building Demonstrator. Buildings. 2022; 12(3):362. https://doi.org/10.3390/buildings12030362

Chicago/Turabian Style

Doukari, Omar, Boubacar Seck, David Greenwood, Haibo Feng, and Mohamad Kassem. 2022. "Towards an Interoperable Approach for Modelling and Managing Smart Building Data: The Case of the CESI Smart Building Demonstrator" Buildings 12, no. 3: 362. https://doi.org/10.3390/buildings12030362

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