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Investigating the annual energy-saving and energy-output behaviors of a novel liquid-flow window with spectral regulation of ATO nanofluids

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  • Pu, Jihong
  • Shen, Chao
  • Lu, Lin

Abstract

Building envelopes with energy-generation from renewable sources are highly promising for the green development of buildings. Recently, a new concept of energy-efficient window i.e., the water flow window (WFW), that can capture solar energy for domestic water heating, was reported. However, the output heating capacity of the WFW is inferior due to the limited absorption bandwidth of water. In this study, the ATO-based liquid filled window (LFW) was newly conceived for broadband solar harvesting and effective indoor solar regulation, and then a transient model was developed to figure out the annual performance of ATO-based LFW. By comparing the performance of ATO-based LFW with different ATO concentrations, it was found that an ATO mass fraction of 100 ppm is a positive solution for feasible luminous transmittance about 52%, and excellent monthly output heating capacity between 19 and 60 MJ/(m2·month) in Beijing. With the 100 ppm ATO-based LFW nanofluids, the output heating capacity and the annual solar heat gain coefficient (SHGC) of the ATO-based LFW in four cities with different climatic conditions were discussed. The results indicate that the 100 ppm ATO-based LFW shows the highest level of output thermal energy in Hong Kong, the highest output water temperature in Beijing, the lowest output heating capacity in Harbin, and the lowest cooling energy-saving potential in Chengdu. We believe that the ATO-based LFW is a feasible and applicable solution for achieving carbon neutrality in buildings, especially for buildings in hot regions.

Suggested Citation

  • Pu, Jihong & Shen, Chao & Lu, Lin, 2023. "Investigating the annual energy-saving and energy-output behaviors of a novel liquid-flow window with spectral regulation of ATO nanofluids," Energy, Elsevier, vol. 283(C).
  • Handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223025057
    DOI: 10.1016/j.energy.2023.129111
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    References listed on IDEAS

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    1. Cuce, Erdem & Riffat, Saffa B., 2015. "A state-of-the-art review on innovative glazing technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 695-714.
    2. Lyu, Yuan-Li & Liu, Wen-Jie & Su, Hua & Wu, Xuan, 2019. "Numerical analysis on the advantages of evacuated gap insulation of vacuum-water flow window in building energy saving under various climates," Energy, Elsevier, vol. 175(C), pages 353-364.
    3. Zhang, Chunxiao & Shen, Chao & Zhang, Yingbo & Pu, Jihong, 2022. "Feasibility investigation of spectral splitting photovoltaic /thermal systems for domestic space heating," Renewable Energy, Elsevier, vol. 192(C), pages 231-242.
    4. Wang, Julian (Jialiang) & Shi, Donglu, 2017. "Spectral selective and photothermal nano structured thin films for energy efficient windows," Applied Energy, Elsevier, vol. 208(C), pages 83-96.
    5. Lyu, Yuan-Li & Chow, Tin-Tai & Wang, Jin-Liang, 2018. "Numerical prediction of thermal performance of liquid-flow window in different climates with anti-freeze," Energy, Elsevier, vol. 157(C), pages 412-423.
    6. Buratti, C. & Moretti, E., 2012. "Experimental performance evaluation of aerogel glazing systems," Applied Energy, Elsevier, vol. 97(C), pages 430-437.
    7. Zhang, Chunxiao & Chen, Lei & Zhou, Ziqi & Wang, Zhanwei & Wang, Lin & Wei, Wenzhe, 2023. "Heat harvesting characteristics of building façades integrated photovoltaic /thermal-heat pump system in winter," Renewable Energy, Elsevier, vol. 215(C).
    8. Wang, Kai & Pantaleo, Antonio M. & Herrando, María & Faccia, Michele & Pesmazoglou, Ioannis & Franchetti, Benjamin M. & Markides, Christos N., 2020. "Spectral-splitting hybrid PV-thermal (PVT) systems for combined heat and power provision to dairy farms," Renewable Energy, Elsevier, vol. 159(C), pages 1047-1065.
    9. Liu, Wenjie & Chow, Tin-tai, 2021. "Performance analysis of liquid-flow-window with submerged heat exchanger," Renewable Energy, Elsevier, vol. 168(C), pages 319-331.
    10. Shen, Chao & Lv, Guoquan & Wei, Shen & Zhang, Chunxiao & Ruan, Changyun, 2020. "Investigating the performance of a novel solar lighting/heating system using spectrum-sensitive nanofluids," Applied Energy, Elsevier, vol. 270(C).
    11. Zhang, Yingbo & Shan, Kui & Li, Xiuming & Li, Hangxin & Wang, Shengwei, 2023. "Research and Technologies for next-generation high-temperature data centers – State-of-the-arts and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    12. Zhang, Chunxiao & Chen, Lei & Zhou, Ziqi & Wang, Zhanwei & Wang, Lin & Zhang, Yingbo, 2023. "Cooling performance of all-orientated building facades integrated with photovoltaic-sky radiative cooling system in summer," Renewable Energy, Elsevier, vol. 217(C).
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