Jiang Tingting, Hao Fulin, Chen Xiaomeng, Zou Ziwei, Zheng Shu, Liu Yabin, Xu Shan, Yin Haiquan, Yang Xudong
Department of Building Science, School of Architecture, Tsinghua University, Beijing, 100084, China.
College of Information and Electrical Engineering, China Agricultural University, Beijing, 100084, China.
Build Environ. 2024 Mar;251:111218. doi: 10.1016/j.buildenv.2024.111218.
The determination of the indoor air temperature is necessary for evaluating human comfort, health, and living conditions. Existing measuring methods require entering a room, which can disturb the daily lives of residents and consume large amounts of manpower, material, and financial resources. To overcome these obstacles, an exploratory approach was proposed in this study to estimate the indoor air temperature by obtaining the outdoor building window surface temperature without intrusion using infrared technology. A numerical model was established to describe the heat transfer process between the indoor and outdoor air via window glass. Experiments were conducted in a test room to capture infrared images of the exterior window and measure indoor air temperatures and window surface temperatures under different modes. The estimated indoor air temperatures were compared with the experimental data. The effects of window property parameters and ambient parameters on indoor air temperature estimation were analyzed. Results show that the deviations of the indoor air temperature between estimated and measured values in heating, natural ventilation, and cooling modes varied from -0.7 °C to 0.6 °C, -1.1 °C-0.7 °C, and -0.1 °C-1.3 °C, respectively. Based on the sensitivity analysis, the outer surface temperature of the window outer layer was crucial for estimating the accuracy of the indoor air temperature in practical applications. The proposed exploratory approach provides a potential means for remotely obtaining indoor air temperatures using infrared technology.
确定室内空气温度对于评估人体舒适度、健康状况和居住条件至关重要。现有的测量方法需要进入房间,这可能会干扰居民的日常生活,并消耗大量的人力、物力和财力。为了克服这些障碍,本研究提出了一种探索性方法,即使用红外技术在不进入室内的情况下通过获取建筑物外窗表面温度来估算室内空气温度。建立了一个数值模型来描述室内外空气通过窗户玻璃的传热过程。在一个测试房间内进行了实验,以获取外窗的红外图像,并测量不同模式下的室内空气温度和窗表面温度。将估算的室内空气温度与实验数据进行了比较。分析了窗户特性参数和环境参数对室内空气温度估算的影响。结果表明,在加热、自然通风和冷却模式下,估算值与测量值之间的室内空气温度偏差分别在-0.7℃至0.6℃、-1.1℃至0.7℃和-0.1℃至1.3℃之间。基于敏感性分析,窗户外层的外表面温度对于实际应用中估算室内空气温度的准确性至关重要。所提出的探索性方法为利用红外技术远程获取室内空气温度提供了一种潜在手段。