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Building Simulation 2023, 16(12): 2211-2224 https://doi.org/10.1007/s12273-023-0986-4
Cover Article | Issue | Published: 23 January 2023

Secondary solar heat gain modelling of spectral-selective glazing based on dynamic solar radiation spectrum

Show Author's Information Peng Xue1,2( ),  Yi Shen1,2,  Sheng Ye3,  Jinqing Peng4,  Yanyun Zhang1,2,  Qianqian Zhang5,  Yuying Sun1,2
Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing 100124, China
Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
State Grid Zhongxing CO., LTD, Lvyuan Branch, Beijing 100761, China
College of Civil Engineering, Hunan University, Changsha 410082, Hunan, China
Key Laboratory for New Functional Materials of Ministry of Education, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China
Keywords:
dynamic heat transfer, secondary solar heat gain, spectral-selective glazing, solar spectrum
Cite this article:
Xue P, Shen Y, Ye S, et al. Secondary solar heat gain modelling of spectral-selective glazing based on dynamic solar radiation spectrum. Building Simulation, 2023, 16(12): 2211-2224. https://doi.org/10.1007/s12273-023-0986-4
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Abstract Full text About this article

The secondary solar heat gain, defined as the heat flows from glazing to indoor environment through longwave radiation and convection, grows with the increasing of glazing absorption. With the rapid development and application of spectrally selective glazing, the secondary solar heat gain becomes the main way of glazing heat transfer and biggest proportion, and indicates it should not be simplified calculated conventionally. Therefore, a dynamic secondary solar heat gain model is developed with electrochromic glazing system in this study, taking into account with three key aspects, namely, optical model, heat transfer model, and outdoor radiation spectrum. Compared with the traditional K-Sc model, this new model is verified by on-site experimental measurements with dynamic outdoor spectrum and temperature. The verification results show that the root mean square errors of the interior and exterior glass surface temperature are 3.25 ℃ and 3.33 ℃, respectively, and the relative error is less than 10.37%. The root mean square error of the secondary heat gain is 13.15 W/m2, and the dynamic maximum relative error is only 13.2%. The simulated and measured results have a good agreement. In addition, the new model is further extended to reveal the variation characteristics of secondary solar heat gain under different application conditions (including orientations, locations, EC film thicknesses and weather conditions). In summary, based on the outdoor spectrum and window spectral characteristics, the new model can accurately calculate the increasing secondary solar heat gain in real time, caused by spectrally selective windows, and will provide a computational basis for the evaluation and development of spectrally selective glazing materials.


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About this article

Secondary solar heat gain modelling of spectral-selective glazing based on dynamic solar radiation spectrum

Show Author's information Peng Xue1,2( ), Yi Shen1,2, Sheng Ye3, Jinqing Peng4, Yanyun Zhang1,2, Qianqian Zhang5, Yuying Sun1,2
Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing 100124, China
Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
State Grid Zhongxing CO., LTD, Lvyuan Branch, Beijing 100761, China
College of Civil Engineering, Hunan University, Changsha 410082, Hunan, China
Key Laboratory for New Functional Materials of Ministry of Education, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China

Abstract

The secondary solar heat gain, defined as the heat flows from glazing to indoor environment through longwave radiation and convection, grows with the increasing of glazing absorption. With the rapid development and application of spectrally selective glazing, the secondary solar heat gain becomes the main way of glazing heat transfer and biggest proportion, and indicates it should not be simplified calculated conventionally. Therefore, a dynamic secondary solar heat gain model is developed with electrochromic glazing system in this study, taking into account with three key aspects, namely, optical model, heat transfer model, and outdoor radiation spectrum. Compared with the traditional K-Sc model, this new model is verified by on-site experimental measurements with dynamic outdoor spectrum and temperature. The verification results show that the root mean square errors of the interior and exterior glass surface temperature are 3.25 ℃ and 3.33 ℃, respectively, and the relative error is less than 10.37%. The root mean square error of the secondary heat gain is 13.15 W/m2, and the dynamic maximum relative error is only 13.2%. The simulated and measured results have a good agreement. In addition, the new model is further extended to reveal the variation characteristics of secondary solar heat gain under different application conditions (including orientations, locations, EC film thicknesses and weather conditions). In summary, based on the outdoor spectrum and window spectral characteristics, the new model can accurately calculate the increasing secondary solar heat gain in real time, caused by spectrally selective windows, and will provide a computational basis for the evaluation and development of spectrally selective glazing materials.

Keywords: dynamic heat transfer, secondary solar heat gain, spectral-selective glazing, solar spectrum

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Publication history
Copyright
Acknowledgements

Publication history

Received: 15 November 2022
Revised: 25 December 2022
Accepted: 29 December 2022
Published: 23 January 2023
Issue date: December 2023

Copyright

© Tsinghua University Press 2023

Acknowledgements

Acknowledgements

This work was supported by the National Natural Science Foundation of China (51808011) and the Natural Science Foundation of Chongqing (2022NSCQ-MSX5521).

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