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Systematically incorporating spectrum-selective radiative cooling into building performance simulation: Numerical integration method and experimental validation

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  • Bu, Fan
  • Yan, Da
  • Tan, Gang
  • Sun, Hongsan
  • An, Jingjing

Abstract

Besides highly reflecting solar energy, the spectrum-selective radiative cooling materials (RCMs) dissipate heat to outer space especially through the atmospheric window (e.g., 8–13 μm) and achieve sub-ambient temperature under direct sunlight. Not only potentially contributing to Earth’s heat rebalance, the daytime radiative cooling technology but also presents promising applications to building facades as a passive ‘zero-energy’ cooling method. Although there has been a large amount of radiative cooling materials developed recently due to the wavelength scale photonic material design, the wide application of radiative cooling materials to buildings faces challenges, including the barriers of scalable manufacturing and the lack of industry acceptable simulation tools for designers and engineers. Deliberating the major impacting factors such as moisture variation in atmosphere, this study designed a systematic strategy of incorporating spectrum-selective radiative cooling with whole-building performance simulation by developing a new long-wavelength radiation spectrum integral module (LRSIM) suitable for being built into the state-space model, like the DeST tool. Reduced-scale controllable experiments have validated the accuracy of LRSIM, giving < 3% deviation for the spectrum-based long-wavelength radiation calculation. Subsequently, experimental results from full-scale model houses were utilized to further validate the DeST tool embedded with LRSIM for building application of spectrum-selective radiative cooling materials. Indoor air temperature deviation < 1 °C was observed between the simulated and measured data, indicating the compelling prediction power of the integrated tool for radiative cooling modeling. Simulation analysis to a single-story commercial building at six locations around the world has shown energy-saving potential of 14–42% for an example radiative cooling material. Different from other customized plug-in integration, the experimentally validated DeST with built-in LRSIM will provide architecture designers and application engineers a general-purpose and easily-usable tool for promoting adoption of radiative cooling technology in buildings.

Suggested Citation

  • Bu, Fan & Yan, Da & Tan, Gang & Sun, Hongsan & An, Jingjing, 2022. "Systematically incorporating spectrum-selective radiative cooling into building performance simulation: Numerical integration method and experimental validation," Applied Energy, Elsevier, vol. 312(C).
  • Handle: RePEc:eee:appene:v:312:y:2022:i:c:s0306261922001908
    DOI: 10.1016/j.apenergy.2022.118733
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Feng, Chi & Lei, Yue & Huang, Xianqi & Zhang, Weidong & Feng, Ya & Zheng, Xing, 2022. "Experimental and theoretical analysis of sub-ambient cooling with longwave radiative coating," Renewable Energy, Elsevier, vol. 193(C), pages 634-644.
    2. Bu, Fan & Yan, Da & Tan, Gang & Sun, Hongsan & An, Jingjing, 2023. "Acceleration algorithms for long-wavelength radiation integral in the annual simulation of radiative cooling in buildings," Renewable Energy, Elsevier, vol. 202(C), pages 255-269.
    3. Tang, Haida & Wu, Juhu & Li, Chunying, 2024. "Experimental study of RRC-PV modules under hot summer and cold winter climate," Renewable Energy, Elsevier, vol. 221(C).
    4. Li, Hao & Zhang, Ji & Liu, Xiaohua & Zhang, Tao, 2022. "Comparative investigation of energy-saving potential and technical economy of rooftop radiative cooling and photovoltaic systems," Applied Energy, Elsevier, vol. 328(C).
    5. Bu, Fan & Yan, Da & Tan, Gang & An, Jingjing, 2024. "A novel approach based on equivalent sky radiative temperature for quick computation of radiative cooling in building energy simulation," Renewable Energy, Elsevier, vol. 221(C).
    6. Xu, Bin & Fei, Yue & Chen, Xing-ni & Xie, Xing & Pei, Gang, 2024. "Influence of selective infrared emissivity design on the radiative cooling effect of windows: Laws exploration based on transient analysis," Energy, Elsevier, vol. 289(C).
    7. Gong, Quan & Lu, Lin & Chen, Jianheng, 2023. "Design and performance investigation of a novel self-adaptive radiative cooling module for thermal regulation in buildings," Applied Energy, Elsevier, vol. 352(C).

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