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Development of adaptive algorithms for the operation of windows, fans, and doors to predict thermal comfort and energy use in Pakistani buildings

机译:开发用于门窗,风扇和门操作的自适应算法,以预测巴基斯坦建筑物的热舒适度和能耗

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摘要

This year-round field investigation of the use of building controls (windows, doors and fans) in 33 Pakistani offices and commercial buildings focuses on 1) how the occupants' behavior is related to thermal comfort, 2) how people modify the indoor environment and 3) how we can predict the occupants' behavior. We have found that the use of building controls depends on climate and season. The use of these controls has a cooling effect on the occupant through increasing the air movement or the ventilation. The behavioral model yields adaptive algorithms that can be applied in building thermal simulations to predict the effects of the occupants' behavior on energy-saving building design.
机译:这项针对巴基斯坦33座办公室和商业建筑中建筑物控制(窗户,门和风扇)使用情况的常年调查重点在于:1)乘员的行为与热舒适度之间的关系; 2)人们如何改变室内环境;以及3)我们如何预测乘员的行为。我们发现建筑控制的使用取决于气候和季节。这些控件的使用通过增加空气流动或通风对乘员产生降温效果。该行为模型产生自适应算法,该算法可应用于建筑热模拟中,以预测居住者的行为对节能建筑设计的影响。

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