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Long-term thermal conductivity of aerogel-enhanced insulating materials under different laboratory aging conditions

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  • Berardi, Umberto
  • Nosrati, Roya Hamideh

Abstract

Aerogel-enhanced materials are known to have significantly lower thermal conductivity than traditional insulating materials. However, given the lack of long-term experiences with aerogel-enhanced products, the consistency of their superior thermal performance under the effect of the various climatic aging processes is still unknown. This study describes the effects of accelerated aging processes in laboratory conditions over the thermal performance of aerogel-enhanced insulating materials. Several products including aerogel-enhanced plasters, blankets, and boards, were exposed to different climatic accelerated stresses, which exceeded typical use conditions. The tests included freeze-thaw cycles, elevated temperature, high humidity levels, and the exposure to cycles of high UV levels alternated to high temperature and moisture levels. The thermal properties of the products before, during, and after the accelerated aging periods were measured. The Peck model, Arrhenius equation, and Coffin-Manson relation were hence employed to correlate the accelerated aging results with the corresponding real service conditions. The paper discusses the acceleration factors of the aging tests and their calculation methods. The long-term performance of the products is quantified through the changes of their thermal conductivity measured over wide temperature ranges. The results show that for the different investigated materials, the increase in the thermal conductivity over the pristine conditions is typically below 10% for aging exposure corresponding to 20 years in typical conditions. Finally, this study suggests that despite some aging-driven degradation, the thermal conductivity of aerogel-enhanced materials after aging remains significantly lower than that of non-aged traditional insulating materials.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:energy:v:147:y:2018:i:c:p:1188-1202
    DOI: 10.1016/j.energy.2018.01.053
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    References listed on IDEAS

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    1. 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.
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Cuce, Erdem & Cuce, Pinar Mert & Wood, Christopher J. & Riffat, Saffa B., 2014. "Toward aerogel based thermal superinsulation in buildings: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 273-299.
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    6. Qu, Ke & Chen, Xiangjie & Wang, Yixin & Calautit, John & Riffat, Saffa & Cui, Xin, 2021. "Comprehensive energy, economic and thermal comfort assessments for the passive energy retrofit of historical buildings - A case study of a late nineteenth-century Victorian house renovation in the UK," Energy, Elsevier, vol. 220(C).
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    8. 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).
    9. 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.
    10. M. M. Sarafraz & Alireza Dareh Baghi & Mohammad Reza Safaei & Arturo S. Leon & R. Ghomashchi & Marjan Goodarzi & Cheng-Xian Lin, 2019. "Assessment of Iron Oxide (III)–Therminol 66 Nanofluid as a Novel Working Fluid in a Convective Radiator Heating System for Buildings," Energies, MDPI, vol. 12(22), pages 1-13, November.
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    12. Zhang, Chong & Wang, Jinbo & Li, Liao & Gang, Wenjie, 2019. "Dynamic thermal performance and parametric analysis of a heat recovery building envelope based on air-permeable porous materials," Energy, Elsevier, vol. 189(C).

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