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Author:

Ma, Yuxin (Ma, Yuxin.) | Li, Dong (Li, Dong.) | Wu, Yupeng (Wu, Yupeng.) | Peng, Jinqing (Peng, Jinqing.) | Xue, Peng (Xue, Peng.) (Scholars:薛鹏) | Bai, Gongxun (Bai, Gongxun.)

Indexed by:

EI Scopus SCIE

Abstract:

The rapid advancement of spectrally selective materials has enabled the development of smart windows that can regulate different bands of solar radiation. However, existing methods for calculating spectral properties vary, leading to inconsistent results when evaluating their light-electricity-heat-color performance. Therefore, this paper presents five methods for calculating window spectral properties, intending to compare and identify the most effective approach for assessing building thermal performance, energy efficiency, and daylighting. The methods focus primarily on the solar spectrum input and the glazing spectrum response. The solar spectrum inputs include the Beijing local solar spectrum, ASTM G173-03, and ISO 9845 (methods S1 to S3), and the glazing spectrum response methods differ based on whether they account for spectral selectivity and the choice of spectral weighting functions (methods S3 to S5). The findings reveal that variations in solar spectrum input have a minimal effect on window performance, while differences in glazing spectral response calculations significantly impact results. It is particularly evident in thermochromic windows, where discrepancies in energy efficiency, specifically in lighting load, can reach up to 67.21 %, and variations in dynamic daylighting performance, specifically in Useful Daylight Illuminance (UDI) below 500 lx, can be as high as 28.27 %. To provide more accurate assessment results of glazing windows, this study recommends using the spectral calculation method S1, which incorporates the local solar spectrum and applies the standard luminous efficiency function to the glazing spectrum response. This paper highlights that further refinement of spectral calculation methods will enhance their utility for performance evaluation and guide the reverse design of innovative window features.

Keyword:

Glazing window Performance evaluation Glazing spectrum response Optical property Solar spectrum

Author Community:

  • [ 1 ] [Ma, Yuxin]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Effi, Beijing, Peoples R China
  • [ 2 ] [Xue, Peng]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Effi, Beijing, Peoples R China
  • [ 3 ] [Li, Dong]Northeast Petr Univ, Sch Architecture & Civil Engn, Daqing, Peoples R China
  • [ 4 ] [Wu, Yupeng]Univ Nottingham, Fac Engn, Nottingham, England
  • [ 5 ] [Peng, Jinqing]Hunan Univ, Coll Civil Engn, Changsha, Peoples R China
  • [ 6 ] [Xue, Peng]Beijing Univ Technol, Chongqing Res Inst, Chongqing, Peoples R China
  • [ 7 ] [Xue, Peng]Beijing Univ Technol, Coll Architecture & Urban Planning, Beijing, Peoples R China
  • [ 8 ] [Bai, Gongxun]China Jiliang Univ, Coll Opt & Elect Technol, Hangzhou, Peoples R China

Reprint Author's Address:

  • 薛鹏

    [Xue, Peng]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Effi, Beijing, Peoples R China;;[Bai, Gongxun]China Jiliang Univ, Coll Opt & Elect Technol, Hangzhou, Peoples R China

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Source :

ENERGY CONVERSION AND MANAGEMENT

ISSN: 0196-8904

Year: 2025

Volume: 324

1 0 . 4 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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