BIM+IoT for office spaces optimisation

Maltese, Sebastiano and Altieri, Domenico and Branca, Giovanni and Marvin, Dario (2021) BIM+IoT for office spaces optimisation. In: FTAL 2021, 28-29.10.2021, Lugano.

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The current pandemic period has to some extent changed the conception and use of classic workplaces and as a result owners and tenants aim to recalibrate operating costs by improving the building layout, efficiency and performances. The objective of this research is to develop a methodology to address office spaces optimization, in terms of occupancy and efficiency, ensuring at the same time an acceptable level of internal comfort. This process is supported by a live data stream coming from IoT sensors and linked to BIM objects (spaces, components) to create a simplified digital twin providing georeferenced data. Data about space usage, thermal comfort and equipment performances can be used effectively to lower running costs and boost productivity through dedicated optimization algorithms. BIM is not usually associated with existing buildings and even less with retrofit or data analysis, due to the expected modelling time. The idea is to overcome this paradigm, by demonstrating that with existing technologies is possible to achieve a fast and incremental BIM model, which combined with real-time data, can be useful for upgrading the operational efficiency of an asset. Currently, authors are setting up a case study with a small network of sensors to gather and analyze data about occupancy and environmental parameters of an open space in the new SUPSI DACD Campus of Mendrisio (Switzerland, Ticino). This approach can be further developed by gathering and analyzing additional parameters in order to investigate the possibility of improving other aspects of the operational phase of office buildings. This research applies to medium-large portfolios and is not targeted to private owners.

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