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Optical path model and energy performance optimization of aerogel glazing system filled with aerogel granules

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  • Liu, Yang
  • Chen, Youming
  • Lu, Lin
  • Peng, Jinqing
  • Zheng, Dongmei
  • Lu, Bin

Abstract

Aerogel glazing system (AGS) is an advanced energy-efficient glazing system. According to Lambert-Beer Law, the optical path is a significant parameter that influences the optical performance of AGS, and thus influences the thermal-energy performance. However, the optical path of the granular aerogel layer in AGS has never been calculated before. In this study, a model was newly proposed to calculate the optical path of the granular aerogel layer. Firstly, the optical path of a single aerogel granule was calculated through geometrical optics. Then, the inhomogeneous distribution of aerogel granules was transformed to a homogeneous distribution through an equivalent model. Finally, the optical path of the aerogel layer was calculated by integration. The calculated optical path was utilized to simulate the spectral transmittance of different AGSs which were compared to the experimental results to validate the accuracy of the model. The results showed that the maximum difference between the simulated value and measured value of solar transmittance is 2.1 %. The results also indicated that the influence of the granule diameter on solar transmittance is slighter than the filling thickness. The energy performances of AGSs with different aerogel granules and different filling thicknesses were also simulated and evaluated under different weather conditions. The results showed that P1F16 (the diameter is 1 mm and the filling thickness is 16 mm) could reduce 22 % heat loss/gain when facing horizon and 10 % heat loss/gain when facing east and west in hot summer and cold winter region. The results also showed that P1F16 could reduce 17.36 % heat gain in the whole year in hot summer and warm winter region. It is also noticed that changing the aerogel granule’s diameter and the filling thickness has little effect on the energy performance of aerogel glazing system when faced north orientation.

Suggested Citation

  • Liu, Yang & Chen, Youming & Lu, Lin & Peng, Jinqing & Zheng, Dongmei & Lu, Bin, 2023. "Optical path model and energy performance optimization of aerogel glazing system filled with aerogel granules," Applied Energy, Elsevier, vol. 334(C).
  • Handle: RePEc:eee:appene:v:334:y:2023:i:c:s0306261922018803
    DOI: 10.1016/j.apenergy.2022.120623
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    References listed on IDEAS

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    1. Zhou, Yuekuan, 2022. "A multi-stage supervised learning optimisation approach on an aerogel glazing system with stochastic uncertainty," Energy, Elsevier, vol. 258(C).
    2. Berardi, Umberto & Nosrati, Roya Hamideh, 2018. "Long-term thermal conductivity of aerogel-enhanced insulating materials under different laboratory aging conditions," Energy, Elsevier, vol. 147(C), pages 1188-1202.
    3. Buratti, C. & Moretti, E., 2012. "Glazing systems with silica aerogel for energy savings in buildings," Applied Energy, Elsevier, vol. 98(C), pages 396-403.
    4. Buratti, C. & Moretti, E., 2012. "Experimental performance evaluation of aerogel glazing systems," Applied Energy, Elsevier, vol. 97(C), pages 430-437.
    5. Liu, Yang & Lu, Lin & Chen, Youming & Lu, Bin, 2020. "Investigation on the optical and energy performances of different kinds of monolithic aerogel glazing systems," Applied Energy, Elsevier, vol. 261(C).
    6. Zhou, Yuekuan & Zheng, Siqian, 2020. "Stochastic uncertainty-based optimisation on an aerogel glazing building in China using supervised learning surrogate model and a heuristic optimisation algorithm," Renewable Energy, Elsevier, vol. 155(C), pages 810-826.
    7. Huang, Yu & Niu, Jian-lei & Chung, Tse-ming, 2013. "Study on performance of energy-efficient retrofitting measures on commercial building external walls in cooling-dominant cities," Applied Energy, Elsevier, vol. 103(C), pages 97-108.
    8. Huang, Yu & Niu, Jian-lei, 2015. "Application of super-insulating translucent silica aerogel glazing system on commercial building envelope of humid subtropical climates – Impact on space cooling load," Energy, Elsevier, vol. 83(C), pages 316-325.
    9. Chen, Youming & Xiao, Yaling & Zheng, Siqian & Liu, Yang & Li, Yupeng, 2018. "Dynamic heat transfer model and applicability evaluation of aerogel glazing system in various climates of China," Energy, Elsevier, vol. 163(C), pages 1115-1124.
    10. Berardi, Umberto, 2015. "The development of a monolithic aerogel glazed window for an energy retrofitting project," Applied Energy, Elsevier, vol. 154(C), pages 603-615.
    11. Ihara, Takeshi & Gao, Tao & Grynning, Steinar & Jelle, Bjørn Petter & Gustavsen, Arild, 2015. "Aerogel granulate glazing facades and their application potential from an energy saving perspective," Applied Energy, Elsevier, vol. 142(C), pages 179-191.
    12. Yu, Philip C.H. & Chow, W.K., 2001. "Energy use in commercial buildings in Hong Kong," Applied Energy, Elsevier, vol. 69(4), pages 243-255, August.
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