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Optimizing wall structure for enhanced thermal performance: A layer-specific dimensionless parameter analysis in multi-layer walls
DOI:10.1016/j.jobe.2024.109889.png)
摘要
En 中文
Enhancing building energy efficiency and thermal comfort crucially involves optimizing the phase shift (PS) and decrement factor (DF) of exterior walls. Using the auxiliary function method, this paper presents analytical solutions for the DF and PS in double -layer walls, subsequently extending these to multi -layer walls. Insulation and structural material properties (density, thermal conductivity, specific heat capacity), thickness, internal and external convective heat transfer coefficients, outdoor temperature fluctuations, and insulation layering in multi -layered walls were taken into consideration in acquiring analytical solutions. Our findings in doublelayer walls and analogous structures show that the DF and PS are largely governed by two dimensionless parameters per layer: thermal diffusivity index and Biot number. Regardless of Biot numbers (e 1 and e 2 ), an increase in thermal diffusivity indexes ( O 1 and O 2 ) consistently reduces the DF and enhances the PS. Moreover, a larger e 1 with a smaller e 2 generally associates with a lower DF, but their impact on PS is less significant compared to thermal diffusivity index. In multi -layer walls, especially with mirror symmetry, we observe a dual extremum phenomenon, marked by prolonged PS and reduced DF. This underlines the importance of structural configuration in wall thermal performance. Thus, in double -layer structures, while the DF decreases and PS increases with increasing thermal diffusivity index, the influence of Biot numbers is comparatively minimal, highlighting the paramount role of thermal diffusivity index in optimizing thermal behavior. This discovery provides valuable guidance for identifying wall structures with minimal DF and maximal PS during the architectural design phase.
Keyword:
Thermal mass
Thermal performance
Periodic heating and cooling
Decrement factor
Phase shift
期刊
IF:
7.4
论文数:
1.7W
被引数:
6.6W
机构
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