TY - JOUR
T1 - Performance analysis and optimization of a hybrid mechanical and free cooling system with cold water storage for a data center
AU - Xiang, Ke
AU - Tian, Zhiyong
AU - Zhou, Chaohui
AU - Luo, Yongqiang
AU - Wu, Wentao
AU - Fan, Jianhua
AU - Deymi-Dashtebayaz, Mahdi
PY - 2025
Y1 - 2025
N2 - With the rapid development of the data center industry, the associated issues of high energy consumption and operational costs have become increasingly severe, significantly impacting the sustainability of data centers. To address this problem, a hybrid mechanical and free cooling system integrated with cooling storage for a data center is proposed, and a TRNSYS model is established to analyze its energy-saving effect. The results show that the PUE value of the system is reduced by 0.057 and the energy saving ratio of the cooling system reaches 19.22%, compared to a pure mechanical cooling system. Analysis of the impact of the volume of the storage tank on energy-saving effects reveals that as the volume increases, the PUE generally trends downward. When the volume is increased to 7.5 times its initial size, the PUE decreases by 0.0025, and the energy saving ratio reaches 1.12%. Subsequently, the control strategy and the size of the cold water storage tank in the model are optimized using a hybrid optimization algorithm. The results indicate that, following optimization, both the energy saving ratio and the electricity cost saving ratio of the cooling system reach 27.65%, while the PUE is reduced by 0.076.
AB - With the rapid development of the data center industry, the associated issues of high energy consumption and operational costs have become increasingly severe, significantly impacting the sustainability of data centers. To address this problem, a hybrid mechanical and free cooling system integrated with cooling storage for a data center is proposed, and a TRNSYS model is established to analyze its energy-saving effect. The results show that the PUE value of the system is reduced by 0.057 and the energy saving ratio of the cooling system reaches 19.22%, compared to a pure mechanical cooling system. Analysis of the impact of the volume of the storage tank on energy-saving effects reveals that as the volume increases, the PUE generally trends downward. When the volume is increased to 7.5 times its initial size, the PUE decreases by 0.0025, and the energy saving ratio reaches 1.12%. Subsequently, the control strategy and the size of the cold water storage tank in the model are optimized using a hybrid optimization algorithm. The results indicate that, following optimization, both the energy saving ratio and the electricity cost saving ratio of the cooling system reach 27.65%, while the PUE is reduced by 0.076.
KW - Data center
KW - Energy saving
KW - Free cooling
KW - GenOpt
KW - TRNSYS
KW - Water storage
U2 - 10.1016/j.applthermaleng.2025.125831
DO - 10.1016/j.applthermaleng.2025.125831
M3 - Journal article
SN - 1359-4311
VL - 267
JO - Applied Thermal Engineering
JF - Applied Thermal Engineering
M1 - 125831
ER -