Skip to main navigation Skip to search Skip to main content

Numerical study on cooling performance and structural optimization of a phase change cold storage assisted air conditioning system for data centers

  • Zhangqin Yang
  • , Zujing Zhang
  • , Jiri Zhou
  • , Xiaoyan Yi
  • , Xing Liang
  • , Hongwei Wu
  • , Ruiyong Mao
  • Guizhou University
  • China MCC5 Group Corp. Ltd.
  • Hong Kong Polytechnic University
  • University of Hertfordshire

Research output: Contribution to journalArticlepeer-review

Abstract

The introduction of phase change cold storage technology offers a novel approach to enhancing the energy efficiency of air conditioning systems for data centers. However, the phase change cold storage assisted air conditioning system needs further energy savings, the structural and parametric optimization of phase change plates (PCP) remains inadequate. This study numerically compared the cooling performance and ventilation resistance of porous PCP, rectangular PCP (RPCP), and trapezoidal PCP. The best-performing RPCP was then selected for a sensitivity analysis, considering the number of segments, number ratio, thickness ratio, wind speed, phase change latent heat, and phase change temperature. Furthermore, the daily energy savings of the traditional (TRS) and optimized (ORS) RPCP systems were compared. Finally, based on the ORS scheme, the influence of the second-segment PCP (PCP2) quantity on the comprehensive performance was further studied to optimize the space utilization of air conditioning units. The results indicate that: (i) With equal PCP volume, the RPCP system achieves the optimal comprehensive performance. (ii) The system achieves optimal cooling and energy-saving performance under three conditions: 4 segments, a number ratio of 14:6, and a thickness ratio of 0.045:0.015, yielding 4-h energy savings of 28 × 103 kJ, 31.8 × 103 kJ, and 28.9 × 103 kJ, respectively. (iii) Compared to the TRS, the ORS improves transient cooling capacity by 36% and achieves an energy saving rate of 22%. (iv) When the number of PCP2 is 12, the system's space utilization and the comprehensive performance are the best.

Original languageEnglish
Article number123848
JournalJournal of Energy Storage
Volume179
Issue numberA
Early online date26 Jul 2026
DOIs
Publication statusE-pub ahead of print - 26 Jul 2026

Keywords

  • Data center
  • Energy saving rate
  • Numerical simulation
  • Phase change cold storage
  • Structural optimization

Fingerprint

Dive into the research topics of 'Numerical study on cooling performance and structural optimization of a phase change cold storage assisted air conditioning system for data centers'. Together they form a unique fingerprint.

Cite this