IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v322y2025ics0360544225013003.html
   My bibliography  Save this article

Investigation on the optical path of aerogel glazing system based on the 3D structure

Author

Listed:
  • Liu, Yang
  • Wang, Yujie
  • Li, Xueling
  • Chen, Youming
  • Lu, Lin
  • Wu, XueHong
  • Zheng, Huifan

Abstract

The aerogel glazing system (AGS) is an innovative energy-efficient glazing solution, where the optical path significantly influences transmittance. The complex structure of the aerogel granule layer makes accurately calculating the optical path challenging. To address this, a three-dimensional structural model of the optical path is proposed. First, the optical path and rotation angle of a single granule are calculated. Then, the unit equivalent coefficient is determined using the minimum repeating unit. Geometry optics and calculus are applied to compute the optical path for the entire granule layer. The optical path is input into the optical model to simulate spectral transmittance. Simulation results show the proposed model improves accuracy by 4.75 %, 4.72 %, and 10.1 % for P2.5F8, P2.5F12, and P4F12, respectively, compared to the two-dimensional model. The energy performance of AGS across different climate zones was simulated, considering the total annual heat gain. P4F8 demonstrated the best performance in the Severe Cold, Cold, and Temperate Regions, while P1F16 proved to be most suitable for the Hot-Summer Warm-Winter Region. In the Hot-Summer Cold-Winter Region, the energy performance of P4F8, P2.5F12, and P1F16 were relatively similar. Structural analysis shows that granule size has a greater impact on energy performance than filling thickness.

Suggested Citation

  • Liu, Yang & Wang, Yujie & Li, Xueling & Chen, Youming & Lu, Lin & Wu, XueHong & Zheng, Huifan, 2025. "Investigation on the optical path of aerogel glazing system based on the 3D structure," Energy, Elsevier, vol. 322(C).
  • Handle: RePEc:eee:energy:v:322:y:2025:i:c:s0360544225013003
    DOI: 10.1016/j.energy.2025.135658
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225013003
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.135658?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Yang & Qi, Hong & Chen, Jiayu & Li, Xueling & Chen, Youming & Lu, Lin, 2024. "Investigation on the influence of solar spectrum on the energy performance of aerogel glazing system," Energy, Elsevier, vol. 313(C).
    2. Buratti, C. & Moretti, E., 2012. "Glazing systems with silica aerogel for energy savings in buildings," Applied Energy, Elsevier, vol. 98(C), pages 396-403.
    3. Aburas, Marina & Soebarto, Veronica & Williamson, Terence & Liang, Runqi & Ebendorff-Heidepriem, Heike & Wu, Yupeng, 2019. "Thermochromic smart window technologies for building application: A review," Applied Energy, Elsevier, vol. 255(C).
    4. Pu, Jin Huan & Yu, Xiyu & Zhao, Yuewen & Tang, G.H. & Ren, Xingjie & Du, Mu, 2023. "Dynamic aerogel window with switchable solar transmittance and low haze," Energy, Elsevier, vol. 285(C).
    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. Magadley, Esther & Kabha, Ragheb & Yehia, Ibrahim, 2021. "Outdoor comparison of two organic photovoltaic panels: The effect of solar incidence angles and incident irradiance," Renewable Energy, Elsevier, vol. 173(C), pages 721-732.
    7. 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.
    8. 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.
    9. Gao, Tao & Jelle, Bjørn Petter & Ihara, Takeshi & Gustavsen, Arild, 2014. "Insulating glazing units with silica aerogel granules: The impact of particle size," Applied Energy, Elsevier, vol. 128(C), pages 27-34.
    10. Liu, He & Tian, You & Liu, Jia'ao & Zhang, Dongwei & Wu, Xuehong & Li, Zengyao, 2023. "Performance analysis of solar drying system with sunlight transparent thermally insulating aerogels," Energy, Elsevier, vol. 269(C).
    11. 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).
    12. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    13. Li, Xue & Sun, Yanyi & Liu, Xiao & Ming, Yang & Wu, Yupeng, 2024. "Development of a comprehensive method to estimate the optical, thermal and electrical performance of a complex PV window for building integration," Energy, Elsevier, vol. 294(C).
    14. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Liu, Yang & Qi, Hong & Chen, Jiayu & Li, Xueling & Chen, Youming & Lu, Lin, 2024. "Investigation on the influence of solar spectrum on the energy performance of aerogel glazing system," Energy, Elsevier, vol. 313(C).
    3. Zhou, Yuekuan & Zheng, Siqian, 2020. "Uncertainty study on thermal and energy performances of a deterministic parameters based optimal aerogel glazing system using machine-learning method," Energy, Elsevier, vol. 193(C).
    4. 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.
    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. Ghosh, Aritra & Norton, Brian, 2018. "Advances in switchable and highly insulating autonomous (self-powered) glazing systems for adaptive low energy buildings," Renewable Energy, Elsevier, vol. 126(C), pages 1003-1031.
    7. Zhou, Yuekuan & Zheng, Siqian, 2020. "Climate adaptive optimal design of an aerogel glazing system with the integration of a heuristic teaching-learning-based algorithm in machine learning-based optimization," Renewable Energy, Elsevier, vol. 153(C), pages 375-391.
    8. 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.
    9. Zhou, Yuekuan, 2022. "A multi-stage supervised learning optimisation approach on an aerogel glazing system with stochastic uncertainty," Energy, Elsevier, vol. 258(C).
    10. Abdul Mujeebu, Muhammad & Ashraf, Noman & Alsuwayigh, Abdulkarim, 2016. "Energy performance and economic viability of nano aerogel glazing and nano vacuum insulation panel in multi-story office building," Energy, Elsevier, vol. 113(C), pages 949-956.
    11. 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.
    12. Cuce, Erdem, 2016. "Toward multi-functional PV glazing technologies in low/zero carbon buildings: Heat insulation solar glass – Latest developments and future prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1286-1301.
    13. Cuce, Erdem & Cuce, Pinar Mert & Young, Chin-Huai, 2016. "Energy saving potential of heat insulation solar glass: Key results from laboratory and in-situ testing," Energy, Elsevier, vol. 97(C), pages 369-380.
    14. Ahmed Abdelrady & Mohamed Hssan Hassan Abdelhafez & Ayman Ragab, 2021. "Use of Insulation Based on Nanomaterials to Improve Energy Efficiency of Residential Buildings in a Hot Desert Climate," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    15. 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.
    16. Mary K. Carroll & Ann M. Anderson & Sri Teja Mangu & Zineb Hajjaj & Margeaux Capron, 2022. "Aesthetic Aerogel Window Design for Sustainable Buildings," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    17. Paulos, Jason & Berardi, Umberto, 2020. "Optimizing the thermal performance of window frames through aerogel-enhancements," Applied Energy, Elsevier, vol. 266(C).
    18. Michalis Michael & Fabio Favoino & Qian Jin & Alessandra Luna-Navarro & Mauro Overend, 2023. "A Systematic Review and Classification of Glazing Technologies for Building Façades," Energies, MDPI, vol. 16(14), pages 1-47, July.
    19. Eldho Abraham & Vladyslav Cherpak & Bohdan Senyuk & Jan Bart Hove & Taewoo Lee & Qingkun Liu & Ivan I. Smalyukh, 2023. "Highly transparent silanized cellulose aerogels for boosting energy efficiency of glazing in buildings," Nature Energy, Nature, vol. 8(4), pages 381-396, April.
    20. Sun, Yanyi & Liu, Xin & Ming, Yang & Liu, Xiao & Mahon, Daniel & Wilson, Robin & Liu, Hao & Eames, Philip & Wu, Yupeng, 2021. "Energy and daylight performance of a smart window: Window integrated with thermotropic parallel slat-transparent insulation material," Applied Energy, Elsevier, vol. 293(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:322:y:2025:i:c:s0360544225013003. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.