| 摘要: |
| 本文实验研究了室内人员增加时辐射吊顶贴附层露点温度的变化，通过数值模拟和SAS软件进行线性回归得到系统稳态下各影响因子对贴附层空气露点温度的影响程度，进一步得到主要影响因子与贴附层露点温度的动态变化关系式，并使用实验数据对模拟和计算结果进行验证。研究结果表明，增加2人和4人时，贴附层空气露点温度分别升高约1.5 ℃和2.5 ℃；人员距贴附层距离和人员增加数量对贴附层露点温度的影响较大，贡献率占比分别为43%和48%，其他影响因子可以忽略；贴附层空气露点温度动态变化式呈负指数函数形式，人员距贴附层距离比人员增加数量对贴附层空气露点温度动态变化的影响更大。 |
| 关键词: 辐射吊顶 露点温度 回归分析 因子贡献率 |
| DOI： |
| Received:August 17, 2018Revised:October 10, 2018 |
| 基金项目:天津市创新团队项目(TD12-5048)资助。 |
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| Study on Dynamic Changes of Dew Point Air Temperature at the Attachment Layer of Radiant Ceiling |
|
Jin Wufeng, Bi Chen, Gao Pan, Jia Lizhi, Wang Zhiqiang
|
| (Tianjin Key Laboratory of Refrigeration Technology, Tianjin University of Commerce) |
| Abstract: |
| The variation in dew point temperature at the attached layer of radiant ceiling was examined when the number of indoor occupants was increased in this study. Through numerical simulation and linear regression performed by SAS software, the influence of various factors on the air dew point temperature of the attached layer was obtained. Furthermore, the dynamic relationship between the main influence factor and the dew point temperature of the attached layer was obtained, and the experimental data was used to verify the simulation and calculation results. The results show that the air dew point temperature increased by approximately 1.5 °C and 2.5 °C when adding two and four people, respectively. The distance between the personnel and the attached layer, as well as the number of personnel have a great influence on the dew point temperature of the attached layer, with the contribution rate accounting for 43% and 48%, respectively; and the contribution from the other impact factors can be ignored. The dynamic change of the air dew point temperature of the attached layer is in the form of a negative exponential function. The influence of the distance between the attached layer and the personnel on the dew point temperature of the attached layer is greater than that of the increase in personnel number. |
| Key words: radiant ceiling dew point temperature regression analysis factor contribution rate |
