• 文献标题:   Thermal Conductivity and Stability of Novel Aqueous Graphene Oxide-Al(2)O(3)Hybrid Nanofluids for Cold Energy Storage
  • 文献类型:   Article
  • 作  者:   GAO YG, AN JC, XI YY, YANG ZZ, LIU JJ, MUJUMDAR AS, WANG LJ, SASMITO AP
  • 作者关键词:   cold energy storage, thermal conductivity, stability, graphene oxide, hybrid nanofluid
  • 出版物名称:   APPLIED SCIENCESBASEL
  • ISSN:  
  • 通讯作者地址:   North China Univ Water Resources Elect Power
  • 被引频次:   0
  • DOI:   10.3390/app10175768
  • 出版年:   2020

▎ 摘  要

Featured Application The paper not only provides method and theoretical guidance for the preparation of long-term stable high-performance hybrid nanofluids, but also gives support for their efficient applications in phase change cold energy storage. Thermal ice storage has gained a lot of interest due to its ability as cold energy storage. However, low thermal conductivity and high supercooling degree have become major issues during thermal cycling. For reducing the cost and making full use of the advantages of the graphene oxide-Al2O3, this study proposes heat transfer enhancement of thermal ice storage using novel hybrid nanofluids of aqueous graphene oxide-Al2O3. Thermal conductivity of aqueous graphene oxide-Al(2)O(3)nanofluid was measured experimentally over a range of temperatures (0-70 degrees C) and concentrations. Thermal conductivity of ice mixing with the hybrid nanoparticles was tested. The influences of pH, dispersant, ultrasonic power and ultrasonic time on the stability of the hybrid nanofluids were examined. A new model for the effective thermal conductivity of the hybrid nanofluids considering the structure and Brownian motion was proposed. The results showed that pH, dispersant, ultrasonic power level and ultrasonication duration are important factors affecting the stability of the hybrid nanofluids tested. The optimum conditions for stability are pH = 11, 1% SDS, 375 W ultrasonic power level and 120 min ultrasonic application time. The thermal conductivity of hybrid nanofluids increases with the increase of temperature and mass fraction of nanoparticles. A newly proposed thermal conductivity model considering the nanofluid structure and Brownian motion can predict the thermal conductivity of hybrid nanofluids reasonably well.