2019
DOI: 10.1016/j.energy.2019.03.178
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Comprehensive correction of thermal conductivity of moist porous building materials with static moisture distribution and moisture transfer

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Cited by 20 publications
(9 citation statements)
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“…Heat transport and storage parameters acquired for 90-days samples in dependence on moisture content are shown in Figure 5 and Figure 6. As confirmed by many researchers in recent decades, the thermal properties of the porous construction materials are significantly affected by moisture content [49,94,95]. This is due to the high thermal conductivity of water ( λ w = 0.56 W/(m∙K) at 20 °C) compared to dry air ( λ a = 0.025 W/(m∙K) at 20 °C) [96] that fills the materials pores.…”
Section: Resultsmentioning
confidence: 96%
“…Heat transport and storage parameters acquired for 90-days samples in dependence on moisture content are shown in Figure 5 and Figure 6. As confirmed by many researchers in recent decades, the thermal properties of the porous construction materials are significantly affected by moisture content [49,94,95]. This is due to the high thermal conductivity of water ( λ w = 0.56 W/(m∙K) at 20 °C) compared to dry air ( λ a = 0.025 W/(m∙K) at 20 °C) [96] that fills the materials pores.…”
Section: Resultsmentioning
confidence: 96%
“…Mukai et al [19] researched the theories of coupled hygrothermal transfer in buildings, they built an experimental platform to measure the temperature, relative humidity, and indoor and outdoor temperatures and compared the measured results with the simulation values; at the same time, they also compared the indoor temperature, relative humidity, heat flow, and humidity flow of the inner layer materials and insulation materials of buildings under natural conditions, and used the WUFI-Plus software to simulate energy consumption with humidity transfer time taken into consideration. To stabilize the humidity and indoor temperature within a comfortable range for human body, Wang et al [20] considered the issues of power grid security and building energy conservation, and established an air conditioning energy consumption monitoring system under climatic conditions in hot and humid areas; then, for the problem of increased energy consumption caused by heat and humidity and the traditional treatment methods, they constructed a BP neural network optimized by particle swarm algorithm and accurately predicted the energy consumption of air conditioners. The coupled hygrothermal transfer process will directly affect the thermal performance of materials, the energy consumption of buildings, and the thermal comfort of the internal environment.…”
Section: Introductionmentioning
confidence: 99%
“…In thermal calculations, the moisture content of materials plays a significant role in heat transfer. The thermal conductivity of the material will depend on the sorption moisture [1][2][3][4][5]. For this reason, the protective properties of the enclosing structures may decrease.…”
Section: Introductionmentioning
confidence: 99%