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Ultraviolet Radiation Transmission in Buildings’ Fenestration: Part I, Detection Methods and Approaches Using Spectrophotometer and Radiometer

Author(s): ORCID


Medium: journal article
Language(s): English
Published in: Buildings, , n. 7, v. 13
Page(s): 1670
DOI: 10.3390/buildings13071670
Abstract:

Fenestration, comprising windows and other openings in a building, influences occupant health and well-being while also enhancing energy efficiency through optimized design and placement. Selecting glazing materials that block or filter harmful UV radiation is crucial, as is having reliable methods to measure their UV transmission. This research paper, which comprises Part I of II, conducts an exhaustive analysis of the predominant methodologies and associated challenges inherent in assessing ultraviolet (UV) radiation transmission and deterioration status in fenestration, with particular emphasis on the usage of spectrophotometers and radiometers. It details the economic and operational challenges associated with these instruments and the limitations they pose in terms of sample size and the impact of glazing material degradation over time. Additionally, the paper provides a comparative analysis of UV radiation transmission characteristics across different glazing configurations such as green or yellow patterned glass, laminate glass, clear glass treated with UV protection film, and float glass. The review identifies laminated glass material as offering the best protection. Although spectrophotometers and radiometers offer high levels of accuracy in transmission data detection, their adoption is hindered by considerable financial and operational challenges. The paper underscores the need for developing alternative methodologies that are economically viable, operationally less complex, and are capable of overcoming the limitations of the traditional methods of detection, which will facilitate optimal fenestration configurations for UV protection and energy efficiency in buildings. The proposed Part II paper will explore UV imaging, image processing, and computer vision techniques as potential alternative approaches.

Copyright: © 2023 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10737508
  • Published on:
    03/09/2023
  • Last updated on:
    14/09/2023
 
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