Skip to main navigation Skip to search Skip to main content

Numerical study on free cooling and mass distribution in a pump-driven two-phase cooling loop for data centers

  • Tongzhi Yang
  • , Weixing Yuan*
  • , Hao Cheng
  • , Yifan Zhao
  • , Xian Liu
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Generally, the integrated cooling system in data centers consists of a vapor compression (VC) loop and a pump-driven two-phase cooling (PDTPC) loop. The PDTPC loop, utilizing free cooling without compressor operation, is a promising energy-saving technology for data center cooling. However, research on the factors influencing the upper limit of free cooling temperature and refrigerant mass distribution in the PDTPC loop remains limited. This study developed a steady-state numerical model to investigate the effects of pipe pressure drop and vapor quality on these parameters. Results show that reducing the pressure drop between the evaporators and condenser significantly increases the upper limit of free cooling temperature. Additionally, reducing the pressure drop between the condenser and reservoir substantially decreases the refrigerant mass in the condenser. Operating at high vapor quality is beneficial to increase the upper limit of free cooling temperature and reduce refrigerant mass in the pipes, evaporators, and condenser. A reservoir is essential to manage changes in refrigerant mass distribution. This work provides theoretical guidance for extending the annual utilization of free cooling and reducing refrigerant charge in the practical application of the PDTPC loop in data centers, thereby improving energy efficiency and reducing overall costs.

Original languageEnglish
Title of host publication2025 2nd International Conference on Smart Grid and Artificial Intelligence, SGAI 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1041-1047
Number of pages7
ISBN (Electronic)9798331518806
DOIs
StatePublished - 2025
Event2nd International Conference on Smart Grid and Artificial Intelligence, SGAI 2025 - Changsha, China
Duration: 21 Mar 202523 Mar 2025

Publication series

Name2025 2nd International Conference on Smart Grid and Artificial Intelligence, SGAI 2025

Conference

Conference2nd International Conference on Smart Grid and Artificial Intelligence, SGAI 2025
Country/TerritoryChina
CityChangsha
Period21/03/2523/03/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Data center
  • energy efficiency
  • free cooling
  • mass distribution
  • pump-driven

Fingerprint

Dive into the research topics of 'Numerical study on free cooling and mass distribution in a pump-driven two-phase cooling loop for data centers'. Together they form a unique fingerprint.

Cite this