The Research On Integrated Thermal Inertia Of The Lightweight Building Under The Effect Of Multiple Factors

The researches of the building thermal inertias are still in the stage of thermal inertia evaluation of the enclosure structure material, which result in that some influence factors are ignored. It is not adapted to the needs of the current researches and practices. Building envelope such as brick, cement, insulation board, doors and windows have a great influence on building thermal inertia. Besides, other factors such as indoor heat storage regenerator, indoor cold or hot source, the ventilation and people’s behavior show more and more importance to building thermal inertia. As buildings are considered to be a comprehensive regenerator to study the dynamic response of the building thermal environment and building energy consumption previous characterization parameters of the building integrated thermal inertia obviously cannot meet the research demand. According to the complex and multiple factors interaction effect, it is of special significance to define the characterization parameters for the building integrated thermal inertia. This paper studied the lightweight building integrated thermal inertia and its subitem heat storage regenerator in winter by theoretical analysis, experiment study, model validation and model analysis.Combined heat transfer process with the similarity theory, the similar proportion between the model and experiment was calculated, and the building model theory of experimental conditions was established, which provided the theoretical foundation for the rationality of the experimental model. The design conditions of the building model theory were enriched. The initial characterization parameters of the thermal inertia were obtained by analyzing the existing classical heat transfer theory, experiment and simulation research. The subitem of building integrated thermal inertia was analysed with the delay time, the ratio of attenuation degree and regenerative average heat flux density.Using the similar ratio theory, experimental platform was built up. The dynamic response of the building integrated thermal inertia was researched by the change of outdoor meteorological, building ontology and internal kinds of regenerator and heating means. Through testing the change of the internal temperature, internal surface temperature and external surface temperature of building comprehensive heat storage regenerator, building surface heat flow density, indoor temperature and other parameters, the building integrated thermal inertia of the different heat storage regenerator was studied under the effect of internal and external interference.With the programming in Matlab software, the response characteristics of the building integrated thermal inertia was simulated and verified. On the basis of flat wall heat transfer theory, the heat transfer model and its graphical user interface of the building integrated thermal inertia were established. According to the different unsteady conditions, the experimental data of the building regenerator were simulated respectively. Error analysis was conducted between the experimental data and simulation data. Using the method of Bland–Altman, the consistency between experimental data and simulation value was analysed.Based on the dimensionless analysis of dynamic temperature response, regenerator combinations of the building model, outdoor meteorological conditions and heating means were analysed by the dynamic fitting. The reciprocal of the dynamic temperature response(DTR) correction value was proposed as building integrated thermal inertia correction coefficient. The irrelevant characterization parameters were eliminated. The mathematical description of characterization parameters excluded in the correction coefficient was given. Furthermore, the mean value and transient expression of building integrated thermal inertia was put forward.From the research conclusions we can see that preliminary characterization parameters of the building integrated thermal inertia was not enough to show the whole process of dynamic change. More comprehensive data is needed to fit and analyse the process. In the Matlab software, there is a better consistency between the simulation value and the experiment value. It verifies that the similarity theory is correct in the heat transfer process of the experiment. The change of outdoor weather conditions, building ontology and internal regenerator and heating means for building integrated thermal inertia effects can be expressed by the correction coefficient of dynamic temperature response. Based on the above researches, this paper finally proposes a math expression of the building integrated thermal inertia with multiple forms of the dynamic temperature response correction factor. The indication definition of thermal inertia is enriched. It provides methods and reference for the combination of design of heating and building integrated thermal inertia.