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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
Published: 10 April 2026
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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.

Open Access Issue
Analysis of Air-Cooling System and Heat-Dissipation Capacity for High-Density Cabinets in Data Centers
Journal of Refrigeration 2026, 47(1): 51-58
Published: 16 February 2026
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With the rapid development of information technology and the wide application of intelligent arithmetic, the power density of a single cabinet continues to increase. Such high-power-density configurations cause severe cooling challenges while significantly increasing computing power. This study tests a two-phase microchannel self-driven cabinet-level air-cooling system for data centers dominated by air-cooling technology. The test results show that the system can achieve a heat-transfer capacity of 40 kW. The system is subsequently applied to a high-density cabinet demonstration project in Taiyuan. The measured data show that when the power of the cabinet reaches 30 kW under full-load conditions, this system can effectively satisfy its heat-dissipation requirements. In addition, this study constructs a heat-transfer model based on experimental data and further explores the heat-transfer capability of two-phase self-driven cabinet-level air-cooled terminals under different external conditions, with the aim of exploring the limits of air-cooling systems. The results show that the air-cooled terminal can realize a heat dissipation of 65.2 kW if the return air temperature of the cabinet-level terminal is maintained at 35 ℃, the temperature of the chilled water source is as low as 12 ℃, and the wind speed on the terminal reaches 5 m/s. Based on experimental validation and theoretical analysis, this study offers new possibilities and technical support for stock air-cooled data centers to further improve their arithmetic power.

Research Article Issue
Study of hot air recirculation and thermal management in data centers by using temperature rise distribution
Building Simulation 2016, 9(5): 541-550
Published: 17 March 2016
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One of the key challenges in reducing the energy consumption of data centers is to improve the efficiency of air conditioning units. The efficiency is increased when the temperature of the supply air rises; however, the hot air recirculation and hot spots may limit the rise of temperature of the supply air to ensure normal operation of servers. To solve this problem, the energy equation is modeled to separate the thermal influence of each server or rack, and the temperature rise distribution (TRD) is proposed to illustrate the recirculation efficiency in data centers. Based on the TRD, two recirculation ratios are suggested to evaluate the recirculation of each rack in the data center. An algorithm is suggested to optimize the power distribution among racks to minimize the maximum temperature inside the data center, reduce the number of hot spots, and provide more space for increasing the temperature of the supply air. The metrics and algorithm are tested and proved efficient by a computational fluid dynamics (CFD) case.

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