IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v216y2023ics0960148123009187.html
   My bibliography  Save this article

Plasmonic aerogel window with structural coloration for energy-efficient and sustainable building envelopes

Author

Listed:
  • Huang, Maoquan
  • Tang, G.H.
  • Si, Qiaoling
  • Pu, Jin Huan
  • Sun, Qie
  • Du, Mu

Abstract

Renowned for superior thermal insulation properties, silica aerogel holds substantial promise for eco-friendly building construction. This study presents a novel colored transparent aerogel (CTA) window design that simultaneously achieves good light transmission, thermal insulation, and color modulation, which has not been reported before. The radiative properties of the core–shell plasmonic particle-doped aerogel were theoretically predicted by the combination of Mie theory and Monte Carlo methods. The results showed that the CTA window has high visible light transmittance (∼ 45%) and low thermal conductivity (∼ 0.018 W/m K), all while displaying an array of vivid colors. An energy consumption simulation of CTA windows in various climates in China showed potential energy savings of up to 90% compared to the single tinted window in severe cold regions. Moreover, a cost assessment of CTA windows is conducted to evaluate their economic feasibility and environmental benefits. This study introduces an innovative avenue to meet the escalating demand for both visually pleasing and energy-efficient materials, contributing profound insights into the realm of sustainable architectural design.

Suggested Citation

  • Huang, Maoquan & Tang, G.H. & Si, Qiaoling & Pu, Jin Huan & Sun, Qie & Du, Mu, 2023. "Plasmonic aerogel window with structural coloration for energy-efficient and sustainable building envelopes," Renewable Energy, Elsevier, vol. 216(C).
  • Handle: RePEc:eee:renene:v:216:y:2023:i:c:s0960148123009187
    DOI: 10.1016/j.renene.2023.119006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123009187
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2023.119006?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Zhao, Xinpeng & Mofid, Sohrab Alex & Jelle, Bjørn Petter & Tan, Gang & Yin, Xiaobo & Yang, Ronggui, 2020. "Optically-switchable thermally-insulating VO2-aerogel hybrid film for window retrofits," Applied Energy, Elsevier, vol. 278(C).
    2. Wenninger, Simon & Kaymakci, Can & Wiethe, Christian, 2022. "Explainable long-term building energy consumption prediction using QLattice," Applied Energy, Elsevier, vol. 308(C).
    3. Buratti, C. & Moretti, E., 2012. "Experimental performance evaluation of aerogel glazing systems," Applied Energy, Elsevier, vol. 97(C), pages 430-437.
    4. 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.
    5. Streltsov, Artem & Malof, Jordan M. & Huang, Bohao & Bradbury, Kyle, 2020. "Estimating residential building energy consumption using overhead imagery," Applied Energy, Elsevier, vol. 280(C).
    6. Yu, Xiyu & Huang, Maoquan & Wang, Xinyu & Sun, Qie & Tang, G.H. & Du, Mu, 2022. "Toward optical selectivity aerogels by plasmonic nanoparticles doping," Renewable Energy, Elsevier, vol. 190(C), pages 741-751.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Angeliki Kitsopoulou & Evangelos Bellos & Christos Tzivanidis, 2024. "An Up-to-Date Review of Passive Building Envelope Technologies for Sustainable Design," Energies, MDPI, vol. 17(16), pages 1-55, August.
    2. Fei, Yue & Xu, Bin & Chen, Xing-ni & Pei, Gang, 2024. "The role of emissivity of the window surface inside and outside the atmospheric window in the radiative cooling effect," Renewable Energy, Elsevier, vol. 226(C).
    3. Huang, Jiachen & Zhang, Xuan-kai & Yu, Xiyu & Tang, G.H. & Wang, Xinyu & Du, Mu, 2024. "Scalable self-adaptive radiative cooling film through VO2-based switchable core–shell particles," Renewable Energy, Elsevier, vol. 224(C).

    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. 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).
    2. 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.
    3. 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.
    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 & 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).
    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. 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).
    8. 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.
    9. Huang, Jiachen & Zhang, Xuan-kai & Yu, Xiyu & Tang, G.H. & Wang, Xinyu & Du, Mu, 2024. "Scalable self-adaptive radiative cooling film through VO2-based switchable core–shell particles," Renewable Energy, Elsevier, vol. 224(C).
    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. 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.
    12. Salah Beni Hamed & Mouna Ben Hamed & Lassaad Sbita, 2022. "Robust Voltage Control of a Buck DC-DC Converter: A Sliding Mode Approach," Energies, MDPI, vol. 15(17), pages 1-21, August.
    13. Lin, Yi-Feng & Ko, Chia-Chieh & Chen, Chien-Hua & Tung, Kuo-Lun & Chang, Kai-Shiun & Chung, Tsair-Wang, 2014. "Sol–gel preparation of polymethylsilsesquioxane aerogel membranes for CO2 absorption fluxes in membrane contactors," Applied Energy, Elsevier, vol. 129(C), pages 25-31.
    14. 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.
    15. Zhou, Xinlei & Xue, Shan & Du, Han & Ma, Zhenjun, 2023. "Optimization of building demand flexibility using reinforcement learning and rule-based expert systems," Applied Energy, Elsevier, vol. 350(C).
    16. Gil-Lopez, Tomas & Gimenez-Molina, Carmen, 2013. "Environmental, economic and energy analysis of double glazing with a circulating water chamber in residential buildings," Applied Energy, Elsevier, vol. 101(C), pages 572-581.
    17. Chongchong Xu & Zhicheng Liao & Chaojie Li & Xiaojun Zhou & Renyou Xie, 2022. "Review on Interpretable Machine Learning in Smart Grid," Energies, MDPI, vol. 15(12), pages 1-31, June.
    18. Mao, Hongzhi & Chen, Xie & Luo, Yongqiang & Deng, Jie & Tian, Zhiyong & Yu, Jinghua & Xiao, Yimin & Fan, Jianhua, 2023. "Advances and prospects on estimating solar photovoltaic installation capacity and potential based on satellite and aerial images," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    19. Meiyan Wang & Ying Xu & Runtian Shen & Yun Wu, 2024. "Performance-Oriented Parametric Optimization Design for Energy Efficiency of Rural Residential Buildings: A Case Study from China’s Hot Summer and Cold Winter Zone," Sustainability, MDPI, vol. 16(19), pages 1-30, September.
    20. Du, Ruiqing & Liu, Chun-Ho & Li, Xian-Xiang & Lin, Chuan-Yao, 2023. "Effect of local climate zone (LCZ) and building category (BC) classification on the simulation of urban climate and air-conditioning load in Hong Kong," Energy, Elsevier, vol. 271(C).

    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:renene:v:216:y:2023:i:c:s0960148123009187. 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/renewable-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.