The gap between automated building management system and office occupants' manual window operations: towards personalised algorithms

Korsavi, S. S., Jones, R. V. ORCID: https://orcid.org/0000-0002-2716-9872 and Fuertes, A. ORCID: https://orcid.org/0000-0002-6224-1489 (2021) The gap between automated building management system and office occupants' manual window operations: towards personalised algorithms. Automation in Construction, 132. 103960. ISSN 0926-5805 doi: 10.1016/j.autcon.2021.103960

Abstract/Summary

This paper aims to demonstrate how knowledge acquired from occupants' manual window operations can be implemented into BMS automated window operation algorithms. Ten single-occupant offices were selected in a university building in the UK. More than 28,000 hourly data points on indoor and outdoor temperature and open window area (OWA) were analysed from 2015 to 2020. The BMS had adopted nine different automated window operation algorithms during the 5 years. The automated window algorithms could be manually overridden by the office occupants. Automated algorithms were compared against manual window operations. The results showed that the slope and gradient of the regression lines for occupants' manual window operations are smaller than automated operations. OWA of automated window operations increased 20% per 1 °C increase in indoor temperature, however, occupants opened windows 6–8% per 1 °C increase. Occupants react slower to temperature changes than assumed by BMS, which could be considered in BMS automated window operations.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/105822
Identification Number/DOI	10.1016/j.autcon.2021.103960
Refereed	Yes
Divisions	No Reading authors. Back catalogue items Science > School of the Built Environment > Construction Management and Engineering Science > School of the Built Environment > Energy and Environmental Engineering group Science > School of the Built Environment > Organisation, People and Technology group
Publisher	Elsevier
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