TY - GEN
T1 - Estimating hourly solar near-infrared irradiance using meteorological data for sustainable building design and engineering
AU - Duan, Qiuhua
AU - Feng, Yanxiao
AU - Wang, Julian
N1 - Funding Information:
This project is supported by the NSF award: #1847024: CAREER: Understanding Behaviors of the Near Infrared (NIR)-Selective Dynamic Glazing Structures
Publisher Copyright:
© 2020. The Authors. Published by International Solar Energy Society
PY - 2020
Y1 - 2020
N2 - Solar radiation is a key factor influencing sustainable building engineering, in terms of both optical and thermal properties of building envelopes. Solar irradiance data in a conventional weather data file are broadband, representing the total of ultraviolet (UV), visible light (VIS), and near-infrared radiation (NIR), three components of the solar spectrum; however, these three components play different roles in sustainable building design and engineering. For instance, solar VIS always provides benefits to indoor building energy savings (e.g., electrical lighting), while solar NIR is beneficial to building energy savings in winter but undesirable in summer. As a consequence, there is a need for reliable separate analyses focusing on individual solar radiation components. In this work, we explore and test classification-based modeling methods for decomposing hourly broadband global horizontal solar irradiance data in conventional weather files into hourly global horizontal solar NIR component. This model can then be conveniently implemented for sustainable building design and engineering purposes.
AB - Solar radiation is a key factor influencing sustainable building engineering, in terms of both optical and thermal properties of building envelopes. Solar irradiance data in a conventional weather data file are broadband, representing the total of ultraviolet (UV), visible light (VIS), and near-infrared radiation (NIR), three components of the solar spectrum; however, these three components play different roles in sustainable building design and engineering. For instance, solar VIS always provides benefits to indoor building energy savings (e.g., electrical lighting), while solar NIR is beneficial to building energy savings in winter but undesirable in summer. As a consequence, there is a need for reliable separate analyses focusing on individual solar radiation components. In this work, we explore and test classification-based modeling methods for decomposing hourly broadband global horizontal solar irradiance data in conventional weather files into hourly global horizontal solar NIR component. This model can then be conveniently implemented for sustainable building design and engineering purposes.
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M3 - Conference contribution
AN - SCOPUS:85098515238
T3 - American Solar Energy Society National Solar Conference 2020 Proceedings
SP - 80
EP - 85
BT - American Solar Energy Society National Solar Conference 2020 Proceedings
A2 - Middleton, Paulette
A2 - Hebert, Elaine
A2 - Bortman, Dara
A2 - Foster, Robert
A2 - Cipolla, Carly
A2 - Rixham, Carly
PB - International Solar Energy Society
T2 - American Solar Energy Society National Solar Conference 2020, SOLAR 2020
Y2 - 24 June 2020 through 25 June 2020
ER -
