Wang Bo, Guo Yanhua, Shao Shuangquan, et al. Review of Energy Efficiency Evaluation Indexes Related to Data Center Cooling Systems[J]. Journal of refrigeration, 2023, 44(2).
DOI:
Wang Bo, Guo Yanhua, Shao Shuangquan, et al. Review of Energy Efficiency Evaluation Indexes Related to Data Center Cooling Systems[J]. Journal of refrigeration, 2023, 44(2). DOI: 10.3969/j.issn.0253-4339.2023.02.018.
Review of Energy Efficiency Evaluation Indexes Related to Data Center Cooling Systems
Cooling systems consume a significant amount of energy to ensure the reliable operation of data centers. To help data centers achieve carbon neutrality and fully utilize the energy-saving potential of the cooling system
the energy efficiency of data center cooling systems should be evaluated. Many evaluation indexes of these cooling systems are used in the industry. In this study
the energy efficiency evaluation indexes of data center cooling systems presented in the current standards and literature are investigated
and the related indexes are explored as follows: electric energy utilization efficiency and related indexes of derivative cooling systems
performance indexes of data center cooling systems
and performance indexes of data center cold source equipment. The calculation methods and components of different indexes are introduced
and the advantages and disadvantages of each index are analyzed. Comparative experiments reveal that the power usage effectiveness(PUE) and related derivative indexes of the cooling systems cannot accurately reflect the technical level of the operation and maintenance of the data center. For the energy efficiency evaluation of the actual data center cooling systems
the annual general coefficient of performance(GCOPA) is applicable. For the annual operation index of chillers in Chinese data centers
the annual coefficient of performance(ACOP) is applicable.