太阳辐射对建筑室内人体热舒适和建筑能耗有着显著影响。通过实测验证了daylight coefficient（DC）算法模拟太阳辐射强度的准确性。随后基于假人仿真模型采用DC算法计算室内人体平均辐射温度增量（Δ）,与SolarCal（SC）算法结果作对比,并对SC算法进行改进。相比原SC算法,改进SC算法与DC算法计算散射辐射ΔMRT最大差值从4.66 ℃优化到0.92 ℃。然后通过改进SC算法数值模拟案例分析了建筑室内人体全年太阳辐射得热特性,为评估被动太阳能建筑性能及改进暖通空调系统参数调控提供参考。
Abstract
Solar radiation has a significant effect on indoor thermal comfort and building energy consumption. In this study, the accuracy of daylight coefficient（DC） method was verified through experiment. Then, the DC method was used to calculate the increment of mean radiant temperature of a manikin（ΔMRT）, and the result was compared with the original SolarCal（SC） method. Afterwards, the revised SC method was proposed to calculate the solar heat gain of the manikin, and compared with the result by the DC method. The calculated results indicate that the maximum difference of diffuse ΔMRT between the revised SC and DC method is optimized from 4.66 ℃ to 0.92 ℃. Further, in this study, the revised SC method was used to analyze the solar heat gain of the human body in the building throughout the year. This study provides some reference for the evaluation of passive solar buildings and the parametric optimization of building HVAC systems.
关键词
太阳辐射 /
数值模拟 /
被动式太阳能建筑 /
ΔMRT /
Daylight Coefficient算法 /
SolarCal算法
Key words
solar radiation /
numerical simulation /
passive solar building /
ΔMRT /
Daylight Coefficient （DC） method /
SolarCal（SC） method
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参考文献
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