Performance evaluation of two-phase direct-to-chip liquid cooling combined with air cooling for data centers

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Authors: Vahid Ebrahimpour Ahmadi, Henrik Barestrand, Jon Summers, Cagatay Yilmaz
Cited by: 9
References: 25

Abstract

The increasing power density of modern data centers presents significant cooling challenges, as traditional air cooling methods approach their physical and economic limits for artificial intelligence and high-performance computing applications. Integrating direct liquid cooling with existing air-cooled infrastructures offers a promising solution to enhance thermal management and energy efficiency. This study investigates the performance of a hybrid cooling system employing two-phase direct-to-chip liquid cooling, retrofitted to nine air-cooled Open Compute Project servers equipped with Intel Xeon E5 v3 microprocessors. Experiments were conducted in a controlled server wind tunnel environment to evaluate thermal and power characteristics under inlet air temperatures ranging from 25 to 45 °C and varying IT workloads. Results demonstrate substantial CPU temperature reductions, from 93 °C with air cooling to 56 °C with hybrid cooling at 25 °C inlet under full load. As inlet temperature increases on the air side, the two-phase system captures a greater proportion of the heat load, reaching up to 90% at 45 °C. These findings demonstrate the potential of hybrid cooling to extend the thermal envelope of existing air-cooled data centers beyond conventional ASHRAE A1 class limits, reduce operational costs, and facilitate waste heat recovery for secondary applications. • Two-phase direct-to-chip retrofit extends thermal envelope of air-cooled DCs. • Hybrid cooling enables higher air inlet temps without CPU throttling. • Significantly reduced air cooling demand and enhanced heat recovery with hybrid cooling. • Memory throttling under fixed fan speeds highlights airflow optimization needs with hybrid retrofitting. • Experimental validation of two-phase cooling in controlled wind tunnel setup.

Fields of Study & Subjects

Heat Transfer and Optimization Parallel Computing and Optimization Techniques Heat Transfer and Boiling Studies

Publication details

Journal / source
Case Studies in Thermal Engineering
Publisher
Elsevier BV
Volume
78
Pages
107650–107650
Publication date
5 January 2026
Language
EN