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Experimental investigation on heat transfer characteristics of various nanofluids in an indoor electric heater

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  • Chen, Zhanxiu
  • Zheng, Dan
  • Wang, Jin
  • Chen, Lei
  • Sundén, Bengt

Abstract

Heat transfer characteristics of an electric heater were experimentally investigated by using various fluids in this paper, including Cu-EGW (a mixture of ethylene glycol and DI-water), Al2O3-EGW, Fe3O4-EGW nanofluids. A 4:6 mixture of ethylene glycol and deionized water was used as the base liquid. All these nanofluids were prepared by ultrasonic treatment, and nanoparticle mass concentration of samples varies from 0.5% to 2%. In addition, natural convective heat transfer of Fe3O4-EGW nanofluid in an electric heater was carried out by considering an effect of different magnetic fields. The results indicated that heat transfer performance of Cu-EGW nanofluid was significantly higher than the Al2O3-EGW and Fe3O4-EGW nanofluids, and the heating efficiency of the Cu-EGW nanofluid increased with the mass concentration of Cu particles. Compared with that of the base fluid, equilibrium temperature values of electric heaters filled with 2.0% Cu-EGW, 1.0% Al2O3-EGW and 1.0% Fe3O4-EGW nanofluids increase by 13.18%, 3.77% and 4.52%, respectively. It was also found that the magnetic field had a positive effect on the heat transfer enhancement of the Fe3O4-EGW nanofluid. In addition, for the 0.5% Fe3O4 nanofluid under a magnetic intensity of 100 mT, the equilibrium temperature on the middle fin increases by 14.68%.

Suggested Citation

  • Chen, Zhanxiu & Zheng, Dan & Wang, Jin & Chen, Lei & Sundén, Bengt, 2020. "Experimental investigation on heat transfer characteristics of various nanofluids in an indoor electric heater," Renewable Energy, Elsevier, vol. 147(P1), pages 1011-1018.
    • Handle: RePEc:eee:renene:v:147:y:2020:i:p1:p:1011-1018
    DOI: 10.1016/j.renene.2019.09.036
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    References listed on IDEAS

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    1. Xu, Xinxin & Xu, Chao & Liu, Jian & Fang, Xiaoming & Zhang, Zhengguo, 2019. "A direct absorption solar collector based on a water-ethylene glycol based nanofluid with anti-freeze property and excellent dispersion stability," Renewable Energy, Elsevier, vol. 133(C), pages 760-769.
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    2. Zhang, Tianyi & Chen, Lei & Wang, Jin, 2023. "Multi-objective optimization of elliptical tube fin heat exchangers based on neural networks and genetic algorithm," Energy, Elsevier, vol. 269(C).
    3. Yiming Li & Fujun Sun & Wenbin Shi & Xingan Liu & Tianlai Li, 2022. "Numerical Simulation of Ventilation Performance in Mushroom Solar Greenhouse Design," Energies, MDPI, vol. 15(16), pages 1-18, August.
    4. 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).
    5. Peng Liu & Wei Liu & Kexin Gong & Chengjun Han & Hong Zhang & Zhucheng Sui & Renguo Hu, 2022. "Numerical Study on Particulate Fouling Characteristics of Flue with a Particulate Fouling Model Considering Deposition and Removal Mechanisms," Energies, MDPI, vol. 15(22), pages 1-22, November.

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