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Review on Nano Enhanced PCMs: Insight on nePCM Application in Thermal Management/Storage Systems

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  • Fateh Mebarek-Oudina

    (Department of Physics, Faculty of Sciences, University of 20 Août 1955-Skikda, Skikda 21000, Algeria)

  • Ines Chabani

    (Department of Physics, Faculty of Sciences, University of 20 Août 1955-Skikda, Skikda 21000, Algeria)

Abstract

Phase change materials (PCMs) proved to be valuable and drew the attention of numerous scientists striving to establish novel techniques to minimize energy consumption and expand heat storage; yet a number of challenges hampered their research. This paper provides an overall overview on how to overcome those constraints by adapting nano-enhanced phase change materials, the motivation behind their investigation, their advantages, area of applications, and their impact on thermal management and storage equipment. Recent computational and experimental studies have revealed that nanoparticles are extremely useful in terms of improving the thermo-physical properties of PCMs, allowing nano-PCMs, mainly nano-paraffin, to have a major positive influence on thermal concepts at the economical, ecological, and effectiveness levels. In this context, nano-enhanced PCMs are now able to store and release large amounts of heat in short intervals of time, which is relevant to thermal storage systems and contributes to augmenting and boosting their efficiency. It also improves the thermal performance of cooling and heating systems in buildings and regulates the operating temperature of PV systems, electronic components, and batteries.

Suggested Citation

  • Fateh Mebarek-Oudina & Ines Chabani, 2023. "Review on Nano Enhanced PCMs: Insight on nePCM Application in Thermal Management/Storage Systems," Energies, MDPI, vol. 16(3), pages 1-21, January.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1066-:d:1039831
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    References listed on IDEAS

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    2. Hamed, Mohammad M. & Mohammed, Ali & Olabi, Abdul Ghani, 2023. "Renewable energy adoption decisions in Jordan's industrial sector: Statistical analysis with unobserved heterogeneity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
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    4. Qiang, Guofeng & Tang, Shu & Hao, Jianli & Di Sarno, Luigi & Wu, Guangdong & Ren, Shaoxing, 2023. "Building automation systems for energy and comfort management in green buildings: A critical review and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).

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