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Publishing Language: Chinese

Energy efficiency analysis of phase-change air-assisted liquid cooling systems for high-density data centers

Lu WANGXinyi WANGBo ZHANGXiaoxuan CHENZhen LI( )
School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
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Abstract

Objective

With the rapid advancement of artificial intelligence and high-performance computing, data centers are increasingly challenged to achieve effective thermal management and high energy efficiency. Traditional air-cooling methods struggle to handle rising power density, while liquid cooling offers superior heat transfer capabilities but often lacks deployment flexibility. To fully leverage the advantages of air and liquid cooling systems, this study proposes two server-level phase-change air-assisted liquid cooling (AALC) systems to enhance cooling performance, maintain modular deployment, and reduce energy consumption in high-density data centers.

Methods

Two technical configurations were investigated: an air-cooling retrofitting scheme (System 1) and a hybrid solution incorporating a heat pipe composite air conditioner (System 2). Both systems utilized a pump-free, gas-liquid phase-change heat transfer loop to enable passive fluid circulation and simplify the structural design. System 1 was designed to combine the structural simplicity and deployment flexibility of air-cooling systems with the high heat transfer efficiency of liquid cooling. It enabled seamless upgradation of high-density cabinets within limited space in existing air-cooled data centers without requiring large-scale infrastructure modifications. An experimental platform simulating a 50kW cabinet heat load was developed using five electric heating modules. The thermal performance of System 1 was evaluated by monitoring the average temperature and surface uniformity across multiple evaporators. To further improve the energy-saving capability and year-round deployment potential across different climatic zones of China, System 2 was developed based on System 1 by incorporating a heat pipe composite air conditioner on the cold source side. This configuration retained the core advantages of passive two-phase cooling while enhancing the effectiveness of natural cooling. For System 2, annual power usage effectiveness (PUE) was simulated using hourly meteorological data from five representative Chinese cities. The total power consumption of the cooling system—including terminal fan power, outdoor fan power, and compressor power—was modeled using empirical polynomial-based expressions. In addition, economic metrics, such as annual energy savings and payback period, were evaluated.

Results

System 1 exhibited stable operation under a 50kW cabinet heat load. The average temperature of the two-phase loop reached 39.85 ℃, and the maximum surface temperature difference among five vertical evaporators was only 1.9℃, demonstrating excellent thermal uniformity and heat dissipation capacity. The simulation results of System 2 showed up to 30% energy savings over conventional computer room air handler (CRAH) systems because of the enhanced use of natural cooling. In cities such as Beijing and Xi'an, the annual PUE was reduced to as low as 1.16. The hybrid operation considerably lowered fan and compressor energy consumption. Economic analysis indicated a payback period of approximately 1.89 years, confirming the financial viability of System 2.

Conclusions

The proposed AALC systems provide a practical and scalable solution for thermal management in high-density data centers. System 1 verifies the feasibility of passive phase-change cooling for flexible cabinet-level retrofitting.

CLC number: TK264.1 Document code: A Article ID: 1000-0054(2026)04-0810-08

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Journal of Tsinghua University (Science and Technology)
Pages 810-817

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Cite this article:
WANG L, WANG X, ZHANG B, et al. Energy efficiency analysis of phase-change air-assisted liquid cooling systems for high-density data centers. Journal of Tsinghua University (Science and Technology), 2026, 66(4): 810-817. https://doi.org/10.16511/j.cnki.qhdxxb.2025.22.031

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Received: 25 April 2025
Published: 10 April 2026
© Journal of Tsinghua University (Science and Technology). All rights reserved.