当前位置:
X-MOL 学术
›
Energy Build.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Surface temperature distribution prediction model for prefabricated ceiling radiant panel
Energy and Buildings ( IF 6.6 ) Pub Date : 2024-12-15 , DOI: 10.1016/j.enbuild.2024.115200 Mingwu Tang, Xiaozhou Wu, Yunfeng Wang, Dong Liu, Jun Wang, Zhong Li, Airong Feng, Xiangli Li
Energy and Buildings ( IF 6.6 ) Pub Date : 2024-12-15 , DOI: 10.1016/j.enbuild.2024.115200 Mingwu Tang, Xiaozhou Wu, Yunfeng Wang, Dong Liu, Jun Wang, Zhong Li, Airong Feng, Xiangli Li
Prefabricated ceiling radiant panel is one type of efficient and lightweight radiant heating and cooling terminal, which has been widely used in many commercial and residential buildings. The surface temperature distribution of radiant terminal is a crucial factor that affects the local thermal discomfort for heating and the surface condensation risk for cooling. However, the existing research on surface temperature distribution lacked a correlation with the average surface temperature prediction model, which was not convenient for guiding the design and control of radiant heating and cooling systems. Therefore, this paper proposed a new simplified model of radiant panels, and the calculation errors of heat transfer and average surface temperature were within ±5 % and ±1 %, respectively. Furthermore, a surface temperature distribution prediction model was established, and the definition of surface temperature uniformity was also determined through derivation. The calculation results indicated that the root mean square error between the predicted surface temperatures at each measurement point and experimental values was 0.8 °C for heating and 0.4 °C for cooling, and the corresponding relative errors of surface temperature uniformity were 5.7 % and 8.9 %. Finally, the effects of water supply temperature, water mass flow rate, pipe spacing, pipe diameter and thickness of heat distribution plate on the surface temperature distribution were quantitatively analyzed. The results showed that the water mass flow rate, pipe spacing (more than 150 mm) and the thickness of the heat distribution plate clearly influenced the surface temperature uniformity.
中文翻译:
装配式吊顶辐射板表面温度分布预测模型
预制吊顶辐射板是一种高效轻便的辐射供暖制冷终端,已广泛应用于许多商业和住宅建筑。辐射终端的表面温度分布是影响加热时局部热不适和冷却时表面冷凝风险的关键因素。然而,现有的表面温度分布研究与平均表面温度预测模型缺乏相关性,不便于指导辐射供暖和制冷系统的设计和控制。因此,本文提出了一种新的辐射板简化模型,传热和平均表面温度的计算误差分别在 ±5 % 和 ±1 % 以内。进一步,建立了表面温度分布预测模型,并通过推导确定了表面温度均匀性的定义。计算结果表明,各测点预测表面温度与实验值的均方根误差分别为加热0.8 °C和冷却0.4 °C,表面温度均匀性对应的相对误差分别为5.7 %和8.9 %。最后,定量分析了供水温度、水质量流量、管距、管径和配热板厚度对表面温度分布的影响。结果表明:水质量流量、管距(大于150 mm)和热分布板厚度对表面温度均匀性有明显影响。
更新日期:2024-12-15
中文翻译:
装配式吊顶辐射板表面温度分布预测模型
预制吊顶辐射板是一种高效轻便的辐射供暖制冷终端,已广泛应用于许多商业和住宅建筑。辐射终端的表面温度分布是影响加热时局部热不适和冷却时表面冷凝风险的关键因素。然而,现有的表面温度分布研究与平均表面温度预测模型缺乏相关性,不便于指导辐射供暖和制冷系统的设计和控制。因此,本文提出了一种新的辐射板简化模型,传热和平均表面温度的计算误差分别在 ±5 % 和 ±1 % 以内。进一步,建立了表面温度分布预测模型,并通过推导确定了表面温度均匀性的定义。计算结果表明,各测点预测表面温度与实验值的均方根误差分别为加热0.8 °C和冷却0.4 °C,表面温度均匀性对应的相对误差分别为5.7 %和8.9 %。最后,定量分析了供水温度、水质量流量、管距、管径和配热板厚度对表面温度分布的影响。结果表明:水质量流量、管距(大于150 mm)和热分布板厚度对表面温度均匀性有明显影响。