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作者:

Ye, Sheng (Ye, Sheng.) | Xue, Peng (Xue, Peng.) (学者:薛鹏) | Fang, Wanying (Fang, Wanying.) | Dai, Qi (Dai, Qi.) | Peng, Jinqing (Peng, Jinqing.) | Sun, Yuying (Sun, Yuying.) | Xie, Jingchao (Xie, Jingchao.) (学者:谢静超) | Liu, Jiaping (Liu, Jiaping.) (学者:刘加平)

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摘要:

Daylight refers to a free and valuable resource exhibiting photometric and radiometric features, and the physical parameters commonly used to represent its features are irradiance and illuminance. They are both obtained by the spectral power distribution (SPD) of global irradiance, demonstrating that values noticeably affect indoor thermal and luminous environments. Nevertheless, outdoor particulate matter (PM) significantly affects SPD conditions, and two relative spectral notions, i.e., percentage of spectral irradiance (PSIr) and percentage of spectral illuminance (PSIl), were proposed to study the effects of PM10 concentrations in radiometry and photometry with a field measurement, Beijing. As a result, the strong impact of PM10 on PSIr/ PSIl can be noticed in the range (380 to 540 nm) (P-value 10 and PSIr/ PSIl based on regression analysis. With this wavelength, PSIr varies from 0.29 to 0.25%, and PSIl ranges from 0.48 to 0.42% with the increase of PM10 concentrations from 0.01 to 0.098 mg/m3. With the verification of the model, several bands were further analyzed to comprehensively verify the monotonic correlations, and the band ranging 480 ~ 520 nm were reasonably proved that PSIr/PSIl and PM10 can be well indicated by each other. As influenced by the complexity of spectral transmittance through the glazing, the mutual characterization between solar spectrum and particulate matters can contribute to the building energy-efficient design and develop indoor thermal and luminous environment research in the future. © 2020 International Solar Energy Society

关键词:

Radiometry Lighting Regression analysis Iridium compounds Photometry Energy efficiency

作者机构:

  • [ 1 ] [Ye, Sheng]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Xue, Peng]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Fang, Wanying]Department of Industrial Engineering and Operations Research, University of California, Berkeley, United States
  • [ 4 ] [Dai, Qi]Institute of Future Lighting, Academy for Engineering and Technology, Fudan University, Shanghai, China
  • [ 5 ] [Peng, Jinqing]College of Civil Engineering, Hunan University, Changsha, China
  • [ 6 ] [Sun, Yuying]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China
  • [ 7 ] [Xie, Jingchao]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China
  • [ 8 ] [Liu, Jiaping]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China

通讯作者信息:

  • 薛鹏

    [xue, peng]beijing key laboratory of green built environment and energy efficient technology, beijing university of technology, beijing, china

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来源 :

Solar Energy

ISSN: 0038-092X

年份: 2021

卷: 220

页码: 1099-1108

6 . 7 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:87

JCR分区:2

被引次数:

WoS核心集被引频次:

SCOPUS被引频次: 12

ESI高被引论文在榜: 0 展开所有

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