Abstract
Establishing an optimal indoor temperature in buildings can significantly improve the health and productivity of building occupants, as well as saving energy in the air conditioning system. Therefore, this article proposes the use of fuzzy logic to estimate the thermal comfort status of the occupants of tertiary buildings in order to manage the variability associated with the individual thermal sensation of each of them, following the guidelines of the current regulations. At the same time, this work allows the evaluation of features of thermal comfort models not covered by the current methodology, allowing a better interpretation of occupants’ preferences and the development of more efficient comfort models.
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Acknowledgements
This research has been funded through project SICODE (US-1380581) by the Junta de Andalucía and the project CONFORES (TED2021-130659B-I00) supported by the Ministry of Science and Innovation and financed by the European Union – NextGenerationEU.
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Ragel-Bonilla, J.C., Aparicio-Ruiz, P., Barbadilla-Martín, E., Guadix-Martín, J. (2024). Fuzzy Logic in the Thermal Comfort of Mediterranean Tertiary Buildings. In: Bautista-Valhondo, J., Mateo-Doll, M., Lusa, A., Pastor-Moreno, R. (eds) Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). CIO 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 206. Springer, Cham. https://doi.org/10.1007/978-3-031-57996-7_33
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DOI: https://doi.org/10.1007/978-3-031-57996-7_33
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