Approximation of building window properties using in situ measurements

Approximation of building window properties using in situ measurements
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使用现场测量来近似建筑物窗户特性

DOI:
10.1016/j.buildenv.2019.106590
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发表时间:
2020
影响因子:
7.4
通讯作者:
Baur, Stuart
Baur, Stuart
中科院分区:
工程技术1区
文献类型:
--
作者:
Feng, Yanxiao;Duan, Qiuhua;Wang, Julian;Baur, Stuart

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从房主的角度来看,改造家庭窗户,特别是旧房子,不仅有利于节能,而且还可以增加热舒适度。在进行窗户加装或更换的决策时,测量和了解现有窗户的性能水平将成为决策过程中必不可少的一步。在住宅建筑中的玻璃系统的热性能和光学性能的现场测量的研究还没有得到彻底的检查。为此,在该项目中,研究、制造并检查了一种便携式、易于使用的现场测量系统,该系统使用Arduino平台和低成本传感器用于建筑窗户。它专门设计用于现场测量玻璃性能,包括玻璃中心U系数、太阳能透射率(τs)和可见光透射率(VT)。我们设计的测量系统和相关的传感器的基础上的热力学方程,并打算简化测量程序。对于房主的一般使用,该设备能够简单、快速、可靠地对玻璃窗性能进行原位近似,VT、τs和玻璃中心U因子的准确度分别约为97.2%、93.3%和92.1%。所开发的系统和程序可以进一步与能量估计算法相结合,以支持改造建筑物窗户的决策。
From the perspective of homeowners, retrofitting home windows, especially for old houses, would not only facilitate energy savings but also may increase thermal comfort. To make decisions of window retrofitting or replacements, measuring and knowing the existing windows' performance level would become an essential step for the decision-making process. The study of in situ measurements of the thermal and optical performance of the glazing system in residential buildings has not been examined thoroughly. For this purpose, in this project, a portable and easy-to-use in situ measuring system for building windows using the Arduino platform and low-cost sensors have been studied, fabricated, and then examined. It is designed specifically to in situ measure the glazing properties, including Center-of-glass U-factor, Solar Transmittance (τs), and Visible Light Transmittance (VT). We devised the measurement system and associated sensors based on thermodynamic equations and intended to simplify the measuring procedures. For general use by homeowners, this device enables a simple, quick, and reliable in situ approximation of glazing properties, with about 97.2%, 93.3%, and 92.1% accuracy for VT, τs, and Center-of-glass U-factor, respectively. The developed system and procedure can further be combined with energy estimation algorithms to support the decision-making in retrofitting building windows.
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