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Numerical and experimental study on the thermal performance of aerogel insulating panels for building energy efficiency

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  • Yang, Jiangming
  • Wu, Huijun
  • Xu, Xinhua
  • Huang, Gongsheng
  • Xu, Tao
  • Guo, Sitong
  • Liang, Yuying

Abstract

Aerogel insulating panels (AIPs) exhibit extensive prospects for application in aerospace, industry and buildings as excellent energy-saving thermal insulators owing to their ultra-low thermal conductivity. This work aims to numerically and experimentally investigate the thermal performance of AIPs in building energy efficiency. The AIPs were prepared and used as an insulation layer in an insulating cell. Three insulating cells with three different insulating materials as the insulation layer were prepared to measure and comparatively analyse their thermal performances. A resistance-capacitance thermal network model to predict the thermal performance of the insulating cells was developed and validated with the experimental data. The thermal indices of cells, i.e. the time lag, decrement factor and daily heat loss, were explored under periodic disturbances of exterior air temperature. Furthermore, the thermal performance of AIPs for exterior walls was predicted by adopting the typical wall structure in the hot summer and warm winter zone of China. The results showed that the AIP wall has decreases of ∼20% and ∼40% in the fluctuation amplitude of the internal temperature and heat flow, respectively, compared with the traditional insulating walls.

Suggested Citation

  • Yang, Jiangming & Wu, Huijun & Xu, Xinhua & Huang, Gongsheng & Xu, Tao & Guo, Sitong & Liang, Yuying, 2019. "Numerical and experimental study on the thermal performance of aerogel insulating panels for building energy efficiency," Renewable Energy, Elsevier, vol. 138(C), pages 445-457.
  • Handle: RePEc:eee:renene:v:138:y:2019:i:c:p:445-457
    DOI: 10.1016/j.renene.2019.01.120
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    2. Alexander V. Fedyukhin & Konstantin V. Strogonov & Olga V. Soloveva & Sergei A. Solovev & Irina G. Akhmetova & Umberto Berardi & Mark D. Zaitsev & Daniil V. Grigorev, 2022. "Aerogel Product Applications for High-Temperature Thermal Insulation," Energies, MDPI, vol. 15(20), pages 1-15, October.
    3. Yang, Jianming & Zhuang, Haojie & Liang, Yuying & Cen, Jian & Zhang, Xianyong & Li, Li & Li, Peng & Qiu, Runlong, 2024. "A novel vacuum-photovoltaic glazing integrated thermoelectric cooler/warmer for environmental adaptation: thermal performance modelling," Renewable Energy, Elsevier, vol. 229(C).
    4. Uetsuji, Yasutomo & Yasuda, Yuta & Yamauchi, Shugo & Matsushima, Eiji & Adachi, Maki & Fuji, Masayoshi & Ito, Hirokazu, 2021. "Multiscale study on thermal insulating effect of a hollow silica-coated polycarbonate window for residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    5. 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.
    6. 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.
    7. Li, Xueling & Li, Renfu & Chang, Huawei & Zeng, Lijian & Xi, Zhaojun & Li, Yichao, 2022. "Numerical simulation of a cavity receiver enhanced with transparent aerogel for parabolic dish solar power generation," Energy, Elsevier, vol. 246(C).
    8. Yang, Jianming & Lin, Zhongqi & Wu, Huijun & Chen, Qingchun & Xu, Xinhua & Huang, Gongsheng & Fan, Liseng & Shen, Xujun & Gan, Keming, 2020. "Inverse optimization of building thermal resistance and capacitance for minimizing air conditioning loads," Renewable Energy, Elsevier, vol. 148(C), pages 975-986.

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