Thermal Conductivity and Stability of Novel Aqueous Graphene Oxide–Al2O3 Hybrid Nanofluids for Cold Energy Storage

• Published in: Applied sciences Vol. 10; no. 17; p. 5768
• Main Authors: Gao, Yuguo, An, Jiancai, Xi, Yangyang, Yang, Zhenzhong, Liu, Junjun, Mujumdar, Arun S., Wang, Lijun, Sasmito, Agus P.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-09-2020
• Subjects: Air conditioning; Aluminum; Aluminum oxide; cold energy storage; Cold storage; Dispersants; Dispersion; Energy storage; Graphene; graphene oxide; Heat conductivity; Heat transfer; hybrid nanofluid; Ice; Nanofluids; Nanomaterials; Nanoparticles; Particle size; Researchers; Rheology; Stability; Supercooling; Surfactants; Thermal conductivity; Thermal cycling; Ultrasonic testing; Ventilation; Viscosity; China
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app10175768

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–Al2O3 nanofluid was measured experimentally over a range of temperatures (0–70 °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.