Approximation of Building Window Properties using in Situ Measurements

Abstract

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.

Department(s)

Civil, Architectural and Environmental Engineering

Research Center/Lab(s)

Center for Research in Energy and Environment (CREE)

Comments

The authors acknowledge the financial supports provided by the National Science Foundation CMMI-1635089, National Science Foundation CMMI-1847024, and Environmental Protection Agency SU836940.

Keywords and Phrases

3D printing; Building retrofit; Building windows; Glazing properties; In situ measurement; Sensors

International Standard Serial Number (ISSN)

0360-1323

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2020 Elsevier Ltd, All rights reserved.

Publication Date

01 Feb 2020

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