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Enhanced thermal conductivity and adsorption rate of zeolite 13X adsorbent by compression-induced molding method for sorption thermal battery

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  • Chao, Jingwei
  • Xu, Jiaxing
  • Yan, Taisen
  • Wang, Pengfei
  • Huo, Xiangyan
  • Wang, Ruzhu
  • Li, Tingxian

Abstract

Sorption thermal battery is an effective thermal energy storage technology for solar energy utilization and waste heat recovery. However, the low thermal conductivity and packing density of loose particle adsorbents are the common drawbacks for realizing high energy-density and power-density sorption thermal battery. Herein, we propose a compression-induced molding method for preparing high-performance modular adsorbents with high thermal conductivity and packing density by compacting loose particle adsorbents with tunable packing densities and thicknesses. The experimental results showed that the thermal conductivity and packing density of modular adsorbents can be enhanced by 3 times and 2 times, respectively, when compared to that of particle adsorbents. The water adsorption rate can be also improved by this method at an optimized compression pressure of 10 MPa and thickness of 2 mm. Furthermore, we constructed a sorption thermal battery by employing the modular adsorbents to realizing high-efficient thermal charging/discharging processes. The experimental results demonstrate the maximum volumetric power density is as high as 145 kW/m3 and the maximum volumetric energy density up to 75 kWh/m3, which are 1.61 times and 1.27 times higher than those of pristine particle adsorbent, respectively. Therefore, it is verified that the sorption thermal battery with modular adsorbent is more powerful and compact than using conventional particle adsorbent.

Suggested Citation

  • Chao, Jingwei & Xu, Jiaxing & Yan, Taisen & Wang, Pengfei & Huo, Xiangyan & Wang, Ruzhu & Li, Tingxian, 2022. "Enhanced thermal conductivity and adsorption rate of zeolite 13X adsorbent by compression-induced molding method for sorption thermal battery," Energy, Elsevier, vol. 240(C).
    • Handle: RePEc:eee:energy:v:240:y:2022:i:c:s0360544221030462
    DOI: 10.1016/j.energy.2021.122797
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    1. Chao, Jingwei & Xu, Jiaxing & Yan, Taisen & Xiang, Shizhao & Bai, Zhaoyuan & Wang, Ruzhu & Li, Tingxian, 2023. "Performance analysis of sorption thermal battery for high-density cold energy storage enabled by novel tube-free evaporator," Energy, Elsevier, vol. 273(C).

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