Due to effects of moisture transfer, the hygrothermal bridge could be developed at building corners, and increase the thermal conductivity of building materials. Three different types of roof-wall corners (ring beam, double beam column and shear wall structure) were studied. When considering moisture transfer, effects of different air states, structural types and wall materials on the thermal performance of the hygrothermal bridge were evaluated and heat losses of the structure were compared. Given the periodic boundary conditions, the dynamic thermal response of the hygrothermal bridge after moisture transfer was analysed. Among three types of corners, the increase of heat flow through the most detrimental point of the ring beam structure corner was the largest (34.7%) after considering moisture transfer. The heat flow loss rate of the shear wall structure was the lowest (15.2%). When clay brick was used at the corner rather than aerated concrete for walls, a lower proportion of latent heat flow and higher (8.6%) heat flow loss rate were shown after considering moisture effects. Furthermore, the dynamic thermal response was influenced by multi-dimensional and moisture effects. The time lag was reduced with increasing humidity, while the thermal bridge effects increased the deterioration of the time lag.
KangZZiLJYiXH. The method of reducing heat loss from thermal bridges in residential buildings with internal insulation in the hot summer and cold winter zone of China. J Build Eng2022; 17: 105421.
2.
Ko´snyJKosseckaE. Multi-dimensional heat transfer through complex building envelope assemblies in hourly energy simulation programs. Energy Build2002; 34(5): 445–454.
3.
TheodosiouTGPapadopoulosAM. The impact of thermal bridges on the energy demand of buildings with double brick wall constructions. Energy Build2008; 40: 2083–2089.
4.
TheodosiouTGTsikaloudakiAGKontoleonKJBikasDK. Thermal bridging analysis on cladding systems for building facades. Energy and Buildings2015;109: 377–384.
5.
ŠadauskienėJRamanauskasJŠeduikytėLDaukšysMVasyliusA. A simplified methodology for evaluating the impact of point thermal bridges on the high-energy performance of a passive house. Sustainability2015; 7: 16687–16702.
6.
GeHBabaF. Effect of dynamic modeling of thermal bridges on the energy performance of residential buildings with high thermal mass for cold climates. Sustain Cities Soc2017; 34: 250–263.
7.
CunhaEGioielliB. Analysis of Thermal bridge impact in a hotel building for the eight Brazilian bioclimatic zones. J Civil Eng Archit2015; 9: 393–400.
8.
GeHBabaF. Dynamic effect of thermal bridges on the energy performance of a low-rise residential building. J Energy Build2015; 105: 106–118.
9.
ViotHSempeyAPaulyMMoraL. Comparison of different methods for calculating thermal bridges: application to wood-frame buildings. Build Environ2015; 93: 339–348.
10.
TangSHAkkurtNZhangKChenLF,MaMQ. Effect of roof and ceiling configuration on energy performance of a metamaterial-based cool roof for low-rise office building in China. Indoor Built Environ2021; 30(10): 1739–1750.
11.
QuintenJFeldheimV. Dynamic modelling of multidimensional thermal bridges in building envelopes: review of existing methods, application and new mixed method. Energy Build2016; 110: 284–293.
12.
JulyeRFCunhaEG. Thermal bridges modeling in South Brazil climate: three different approaches. Energy Build2018; 169: 271–282.
13.
ISO 10211:2017. Thermal Bridges in Building Construction, Heat Flows and Surface Temperatures, Detailed Calculations. Geneva: The International Organization for Standardization; 2017.
14.
NguyenLHBeaucourALOrtolaSNoumowéA. Experimental study on the thermal properties of lightweight aggregate concretes at different moisture contents and ambient temperatures. Constr Build Mater2017; 151: 720–731.
15.
JermanMˇCernýR. Effect of moisture content on heat and moisture transport and storage properties of thermal insulation materials. Energy Build2012; 52: 39–46.
16.
YangWLiuJPWangYYGaoSJ. Experimental study on the thermal conductivity of aerogel-enhanced insulating materials under various hygrothermal environments. Energy Build2020; 206: 109583.
17.
WangYYMaCLiuYFWangDJLiuJP. Effect of moisture migration and phase change on effective thermal conductivity of porous building materials. Int J Heat Mass Transfer2018; 128: 330–342.
18.
FangAChenYWuL. Transient simulation of coupled heat and moisture transfer through multi-layer walls exposed to future climate in the hot and humid southern China area. Sustain Cities Soc2019; 52: 101812.
19.
MoonHJRyuSHKimJT. The effect of moisture transportation on energy efficiency and IAQ in residential buildings. Energy Build2014; 75: 439–446.
20.
WangYYLiuYFWangDJLiuJP. The correction coefficients for the building air-conditioning load accounting for the whole building hygrothermal transfer process for major cities in China. Indoor Built Environ2016; 26(5): 642–661.
21.
YanGDongSYChuangW. Effect of thermal intensity and initial moisture content on heat and moisture transfer in unsaturated soil. Sustainable Cities Soc2020; 55: 102069.
22.
RafidiarisonHRémondRMougelE. Dataset for validating 1-D heat and mass transfer models within building walls with hygroscopic materials. Build Environ2015; 89: 356–368.
23.
GotoYWakiliKGFrankTStahlTOstermeyerYAndoNWallbaumH. Heat and moisture balance simulation of a building with vapor-open envelope system for subtropical regions. Build Simul2012; 5(4): 301–314.
24.
SantosGHMendesNPhilippiPC. A building corner model for hygrothermal performance and mould growth risk analyses. Int J Heat Mass Transfer2009; 52(21–22): 4862–4872.
25.
SantosGHMendesN. Hygrothermal bridge effects on the performance of buildings. Int Commun Heat Mass Transfer2014; 53: 133–138.
26.
MalikiMLaredjNBendaniKMissoumH. Two-dimensional transient modeling of energy and mass transfer in porous building components using COMSOL multiphysics. Appl Fluid Mech2017; 10(1): 319–328.
27.
AsanHSancaktarYS. Effects of Wall’s thermophysical properties on time lag and decrement factor. Energy Build1998; 28(2): 159–166.
28.
AsanH. Effects of wall’s insulation thickness and position on time lag and decrement factor. Energy Build1998; 28(3): 299–305.
29.
JinXZhangXCaoYGengW. Thermal performance evaluation of the wall using heat flux time lag and decrement factor. Energy Build2012; 47: 369–374.
30.
LazarosEMMohamedEMPierreMMatS. Numerical estimation of time lags and decrement factors for wall complexes including Multilayer Thermal Insulation, in two different climatic zones. Appl Energy2012; 92(4): 480–491.
31.
RathorePKSShuklaSKGuptaNK. Yearly analysis of peak temperature, thermal amplitude, time lag and decrement factor of a building envelope in tropical climate. J Build Eng2020; 31: 101459.
32.
FathipourRHadidiA. Analytical solution for the study of time lag and decrement factor for building walls in climate of Iran. Energy2017; 134: 167–180.
33.
MazzeoDOlivetiGArcuriN. Influence of internal and external boundary conditions on the decrement factor and time lag heat flux of building walls in steady periodic regime. Appl Energy2016; 164(15): 509–531.
34.
WangYYFanYWangDJLiuYFLiuJP. The effect of moisture transfer on the inner surface thermal performance and the thermal transmittance of the roof-wall corner building node in high-temperature and high-humidity areas. J Build Eng2021; 44: 102949.
35.
KumaranM. IEA Annex Final Report, Vo1. 3, Task 3: Material properties. Leuven: IEA, Acco Leuven; 1996.
36.
LuikovAV. Systems of differential equations of heat and mass transfer in capillary-porous bodies (review). Int J Heat Mass Transfer1975; 18(1): 1–14.
37.
KunzelH. Simultaneous Heat and Moisture Transport in Building Components: One- and Two-Dimensional Calculation Using Simple Parameters. Stuttgart: Fraunhofer-Institut für Bauphysik; 1995.
