ORIGINAL RESEARCH article
Front. Built Environ.
Sec. Indoor Environment
This article is part of the Research TopicSustainable Indoor Environment For The Comfort And Well-Being Of Buildings’ UsersView all 3 articles
Hybrid Models for Simulating Indoor Temperature Distribution in Air-Conditioned Spaces
Provisionally accepted
- CNRS@CREATE, Singapore, Singapore
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Air conditioning systems play a vital role in enhancing thermal comfort for building occupants in hot climates. However, their high energy consumption and impact on outdoor air temperatures highlight the need for intelligent, fast, and real-time information systems to ensure sustainable operation. In this study, we evaluate the performance of various models in simulating the thermal and airflow dynamics of a room regulated by an Air Conditioning (A/C) system. Three modelling approaches are examined: a state-of-the-art Computational Fluid Dynamics (CFD) model using OpenFOAM, a physics-based surrogate model utilizing Model Order Reduction techniques, and a hybrid model that combines the surrogate approach with a correction term based on real-time, on-site measurements. The results indicate that while both the CFD and surrogate models perform well overall, they fail to capture localized airflow features that in the measuring points are accurately predicted by the hybrid model. These findings highlight the potential of advanced data-driven models, particularly hybrid approaches, for the intelligent and sustainable management of building environments.
Keywords: computational fluid dynamics, CFD, Surrogate model, model order reduction, Hybrid model
Received: 21 Aug 2025; Accepted: 04 Nov 2025.
Copyright: © 2025 Huljak, Acero, Kyaw and Chinesta. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Juan A. Acero, juanangel.acero74@gmail.com
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