Numerical Simulation of the Indoor Thermal Environment under Asymmetric Thermal Radiation Conditions

Xiao-li ZHAO , Song-tao HU , Hui ZHU , Gang WANG , Li-bin HAN

Science Technology and Engineering ›› 2024, Vol. 24 ›› Issue (9) : 3804 -3812.

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Science Technology and Engineering ›› 2024, Vol. 24 ›› Issue (9) : 3804-3812 DOI: 10.12404/j.issn.1671-1815.2305051
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Numerical Simulation of the Indoor Thermal Environment under Asymmetric Thermal Radiation Conditions
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Abstract

The thermal radiation asymmetry of the building envelope may lead to the abnormal distribution of indoor air temperature and humidity, which in return might produce the deviation of the thermal comfort zone. To precisely predict the thermal and flow characteristics of the indoor thermal environment under the asymmetric thermal radiation condition, the experiment was conducted in an environmental laboratory at the Qingdao plant of Hisense Air Conditioning Company. The laboratory was modeled in full scale, strictly following its dimensions and layout, while keeping the flow and heat exchange structures inside the air conditioner to ensure the accuracy of the simulation. Considering the high Reynolds transition flow and the far-field low Reynolds flow during the steady operation of the air-conditioner, the SST k-ω turbulence model was adopted. Meanwhile, the porous media model was selected to simulate the internal heat exchangers of the air conditioner, and the coupled algorithm was adopted to realize the quick iterations. Experimental measurements under the same boundary condition were conducted to validate the accuracy of the simulation, including the air temperature at 210 measurement points and the relative humidity at four heights inside the laboratory. Some critical parameters such as air uniformity and vertical temperature difference were calculated. The results indicate that the relative error between simulated and measured air supply volume values is 7%, and 98% of the temperature measurement points' relative error is within ± 5%. The findings demonstrate that the full-scale numerical simulation strategies used in the study could provide a reliable solution for the precise prediction of indoor thermal environments under asymmetric thermal radiation conditions.

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Xiao-li ZHAO, Song-tao HU, Hui ZHU, Gang WANG, Li-bin HAN. Numerical Simulation of the Indoor Thermal Environment under Asymmetric Thermal Radiation Conditions. Science Technology and Engineering, 2024, 24(9): 3804-3812 DOI:10.12404/j.issn.1671-1815.2305051

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