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Thermo-Hydrodynamic Characteristics of Hybrid Nanofluids for Chip-Level Liquid Cooling in Data Centers: A Review of Numerical Investigations

Yifan Li1, Congzhe Zhu1, Zhihan Lyu2,*, Bin Yang1,3,*, Thomas Olofsson3

1 School of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin, 300384, China
2 School of Computer Science and Technology, Xidian University, Xi'an, 710126, China
3 Department of Applied Physics and Electronics, Umeå University, Umeå, SE-901 87, Sweden

* Corresponding Authors: Zhihan Lyu. Email: email; Bin Yang. Email: email

(This article belongs to the Special Issue: Advancements in Energy Efficiency and Thermal Management for Data Center)

Energy Engineering 2025, 122(9), 3525-3553. https://doi.org/10.32604/ee.2025.067902

Abstract

The growth of computing power in data centers (DCs) leads to an increase in energy consumption and noise pollution of air cooling systems. Chip-level cooling with high-efficiency coolant is one of the promising methods to address the cooling challenge for high-power devices in DCs. Hybrid nanofluid (HNF) has the advantages of high thermal conductivity and good rheological properties. This study summarizes the numerical investigations of HNFs in mini/micro heat sinks, including the numerical methods, hydrothermal characteristics, and enhanced heat transfer technologies. The innovations of this paper include: (1) the characteristics, applicable conditions, and scenarios of each theoretical method and numerical method are clarified; (2) the molecular dynamics (MD) simulation can reveal the synergy effect, micro motion, and agglomeration morphology of different nanoparticles. Machine learning (ML) presents a feasible method for parameter prediction, which provides the opportunity for the intelligent regulation of the thermal performance of HNFs; (3) the HNFs flow boiling and the synergy of passive and active technologies may further improve the overall efficiency of liquid cooling systems in DCs. This review provides valuable insights and references for exploring the multi-phase flow and heat transport mechanisms of HNFs, and promoting the practical application of HNFs in chip-level liquid cooling in DCs.

Keywords

Data centers; chip-level liquid cooling; hybrid nanofluid; energy transport characteristic; hydrodynamic performance; numerical investigation

Cite This Article

APA Style
Li, Y., Zhu, C., Lyu, Z., Yang, B., Olofsson, T. (2025). Thermo-Hydrodynamic Characteristics of Hybrid Nanofluids for Chip-Level Liquid Cooling in Data Centers: A Review of Numerical Investigations. Energy Engineering, 122(9), 3525–3553. https://doi.org/10.32604/ee.2025.067902
Vancouver Style
Li Y, Zhu C, Lyu Z, Yang B, Olofsson T. Thermo-Hydrodynamic Characteristics of Hybrid Nanofluids for Chip-Level Liquid Cooling in Data Centers: A Review of Numerical Investigations. Energ Eng. 2025;122(9):3525–3553. https://doi.org/10.32604/ee.2025.067902
IEEE Style
Y. Li, C. Zhu, Z. Lyu, B. Yang, and T. Olofsson, “Thermo-Hydrodynamic Characteristics of Hybrid Nanofluids for Chip-Level Liquid Cooling in Data Centers: A Review of Numerical Investigations,” Energ. Eng., vol. 122, no. 9, pp. 3525–3553, 2025. https://doi.org/10.32604/ee.2025.067902



cc Copyright © 2025 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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