Towards achieving thermal comfort through physiologically controlled HVAC system

Ihianle, IK ORCID: https://orcid.org/0000-0001-7445-8573, Machado, P ORCID: https://orcid.org/0000-0003-1760-3871, Owa, K ORCID: https://orcid.org/0000-0002-1393-705X and Adama, DA ORCID: https://orcid.org/0000-0002-2650-857X, 2022. Towards achieving thermal comfort through physiologically controlled HVAC system. In: 2022 International Conference Automatics and Informatics proceedings. New York: IEEE. ISBN 9781665476256

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Abstract

Thermal comfort in shared spaces is essential to occupants’ well-being and necessary in the management of energy consumption. Existing thermal control systems for indoor shared spaces adjust temperature set points mechanically, making it difficult to intelligently achieve thermal comfort for all. Recent studies have shown that thermal comfort in a shared space is difficult to achieve due to individual preferences and the inability of occupants to reach a thermal compromise on temperature set points. This paper proposes a thermal comfort system capable of automatically adjusting the temperature set-points in a shared space whilst recognising individual preferences. The control strategy of the proposed system is based on an algorithm to adjust the temperature set point of the shared space using the individual thermal preferences and predicted thermal comfort value of the occupants. The thermal preferences of the occupants are determined first and used as part of the occupant’s profile, which is mapped to thermal comfort values predicted from the occupants’ measured physiological data and environmental data. A consensus can be reached by the algorithm to find the optimal temperature set-point, which takes into account individual thermal preferences and their physiological responses.

Item Type:	Chapter in book
Description:	Paper presented at 2022 International Conference Automatics and Informatics (ICAI), Varna, Bulgaria, 06-08 Oct 2-22,
Creators:	Ihianle, I.K., Machado, P., Owa, K. and Adama, D.A.
Publisher:	IEEE
Place of Publication:	New York
Date:	28 November 2022
ISBN:	9781665476256
Identifiers:	Number Type 10.1109/icai55857.2022.9960018 DOI 1915940 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Jeremy Silvester
Date Added:	26 Sep 2025 15:13
Last Modified:	26 Sep 2025 15:13
URI:	https://irep.ntu.ac.uk/id/eprint/54467

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