Approximation of Building Window Properties using in Situ Measurements
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.
Y. Feng et al., "Approximation of Building Window Properties using in Situ Measurements," Building and Environment, vol. 169, Elsevier Ltd, Feb 2020.
The definitive version is available at https://doi.org/10.1016/j.buildenv.2019.106590
Civil, Architectural and Environmental Engineering
Center for Research in Energy and Environment (CREE)
Keywords and Phrases
3D printing; Building retrofit; Building windows; Glazing properties; In situ measurement; Sensors
International Standard Serial Number (ISSN)
Article - Journal
© 2020 Elsevier Ltd, All rights reserved.
01 Feb 2020
The authors acknowledge the financial supports provided by the National Science Foundation CMMI-1635089, National Science Foundation CMMI-1847024, and Environmental Protection Agency SU836940.