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Thermal performance prediction of office buildings using direct evaporative cooling systems in the composite climate of India

机译:印度复合气候下使用直接蒸发冷却系统的办公楼热力性能预测

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This study predicts the thermal performance of office buildings using Direct Evaporative Cooling (DEC) systems for thermal comfort during the summer season of Indian composite climate. For this purpose, thermal monitoring of office buildings using DEC systems was carried out for peak summer months (April to July 2016) in Jaipur city. Experimental results were utilized to calibrate the thermal simulation models, developed using EnergyPlus. Taguchi design was further applied to develop L-16 Orthogonal array of control factors and their respective levels for performing simulation runs. Simulation run outputs were then used for predicting supply air temperature and indoor air temperature as a function of independent variables (control factors) using Multiple Linear Regression technique. Statistical significance of temperature correlations was established using Analysis of Variance. Field validation from two other buildings (of similar characteristics) found a reasonably good agreement (R-2 0.90) between the onsite measurements and the computed values of indoor temperature. The same methodology was also repeated to suggest mathematical correlations for specific humidity prediction of supply air and then indoor air. Finally, the potential of DEC to offset thermal discomfort was assessed using the proposed mathematical correlations. This was accomplished by plotting the predicted indoor conditions on Composite Climate-specific Adaptive Thermal Comfort Zone (CCATCZ) developed by the authors particularly for office buildings of Indian composite climate. Comfort prediction with ASHRAE Standard 55-2013 thermal comfort zone and CCATCZ revealed that approximately 42% and 52% of the thermal discomfort hours could be evaded with the use of DEC during the summer season.
机译:这项研究预测了在印度复合气候夏季使用直接蒸发冷却(DEC)系统提供热舒适性的办公大楼的热性能。为此,在斋浦尔的夏季高峰期(2016年4月至2016年7月)对使用DEC系统的办公楼进行了热监测。实验结果用于校准使用EnergyPlus开发的热模拟模型。 Taguchi设计进一步应用于开发L-16正交控制因子阵列及其相应水平,以进行模拟运行。然后使用多元线性回归技术,将模拟运行输出用于预测作为独立变量(控制因子)函数的送风温度和室内空气温度。使用方差分析确定温度相关性的统计显着性。来自其他两个具有类似特征的建筑物的现场验证发现,现场测量结果与室内温度计算值之间有相当好的一致性(R-2> 0.90)。还重复了相同的方法,以建议对供气和室内空气的特定湿度预测进行数学关联。最后,使用提议的数学相关性评估了DEC抵消热不适的潜力。这是通过在由作者特别针对印度复合气候的办公楼开发的复合气候特定的自适应热舒适区(CCATCZ)上绘制预测的室内条件来实现的。根据ASHRAE标准55-2013热舒适区和CCATCZ进行的舒适度预测显示,夏季使用DEC可以避免约42%和52%的热不适时间。

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