MODELING HEATING DYNAMICS IN THE ROOM USING COMSOL MULTIPHYSICS

In this study, a physical model of indoor air temperature change dynamics has been developed, considering heat transfer and convection. The system was modeled in COMSOL Multiphysics and tested in MATLAB, where the influence of external temperature, room area, number of radiator sections and air flow velocity were analyzed. The results showed a strong correlation between room temperature and external temperature (0.92), while weaker dependence was observed on the temperature of a radiator (0.2), height (0.1) and area of the room (0.11). However, number of sections and size of the radiator have the least impact on the room temperature (0.07). Additionally, initial temperature of the room does not have any significant correlation with final room temperature. The correlation, observed in simulations enabled us to develop transfer function of controlled object in MATLAB/Simulink. Nonlinear relay, used in resultant model, is used to turn actuator on and off to control room temperature. The results of the study can be used to create neural network to simulate the physical behavior of the room temperature in different initial conditions.

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Publication Details

Journal
Herald of Kazakh-British technical university
Published
2025-09-27
DOI
https://doi.org/10.55452/1998-6688-2025-22-3-110-122
Primary Topic
Building Energy and Comfort Optimization
Type
article
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article

MODELING HEATING DYNAMICS IN THE ROOM USING COMSOL MULTIPHYSICS

Gulnur Tyulepberdinova, Murat Kunelbayev, Telgozhayeva Farida
Herald of Kazakh-British technical university
Building Energy and Comfort Optimization
article

MODELING HEATING DYNAMICS IN THE ROOM USING COMSOL MULTIPHYSICS

Gulnur Tyulepberdinova, Murat Kunelbayev, Telgozhayeva Farida
article en

Abstract

In this study, a physical model of indoor air temperature change dynamics has been developed, considering heat transfer and convection. The system was modeled in COMSOL Multiphysics and tested in MATLAB, where the influence of external temperature, room area, number of radiator sections and air flow velocity were analyzed. The results showed a strong correlation between room temperature and external temperature (0.92), while weaker dependence was observed on the temperature of a radiator (0.2), height (0.1) and area of the room (0.11). However, number of sections and size of the radiator have the least impact on the room temperature (0.07). Additionally, initial temperature of the room does not have any significant correlation with final room temperature. The correlation, observed in simulations enabled us to develop transfer function of controlled object in MATLAB/Simulink. Nonlinear relay, used in resultant model, is used to turn actuator on and off to control room temperature. The results of the study can be used to create neural network to simulate the physical behavior of the room temperature in different initial conditions.

Herald of Kazakh-British technical universityVol. 22(3)
Al-Farabi Kazakh National University (KZ)
Openalex Percentile: Top 71%
Building Energy and Comfort Optimization
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