GAO QIMING, ZHANG YU, FENG XIUMIN, et al. Case Study on the Thermal Management and Energy Efficiency of Under-floor Air Distribution Data Centers Using Blind Plates. [J]. Journal of refrigeration, 2024, 45(3): 129-142.
GAO QIMING, ZHANG YU, FENG XIUMIN, et al. Case Study on the Thermal Management and Energy Efficiency of Under-floor Air Distribution Data Centers Using Blind Plates. [J]. Journal of refrigeration, 2024, 45(3): 129-142. DOI: 10.3969/j.issn.0253-4339.2024.03.129.
Data center computer room air-conditioning equipment operates for prolonged periods
and its performance must be tested and evaluated annually to ensure safe and efficient operation. This study conducts field measurements on the server layout
blind plate structure
and working condition adaptability in the rack. The thermal environment of a data center using the closed cold aisle underfloor air distribution system is studied
and the thermal environment safety and energy efficiency throughout the year are evaluated through thermal performance indicators and energy efficiency indicators. The results show that it is recommended to install a rack with a power of more than 2 kW in the middle area of the cold aisle. Installing a blind plate in the gap between the racks can promote the circulation of cold air inside the server
reduce the backflow interference of hot air
and reduce the maximum outlet temperature by 3.32 °C. The average supply air speed was reduced by approximately 24%. Under summer operating conditions
the PUE
WUE
and CUE of the data center were approximately 1.2
3.5
and 0.84
respectively
and the WUE exhibited strong seasonality. Under winter operating conditions
free cooling can effectively reduce the energy consumption of data centers. In addition
the overheating problem of the racks at the end of the cold aisle of the data center is significant. The cabinet cooling index of the 16 racks was less than 90%
and the heat loss was high.
关键词
数据中心送风方式机房空调热性能评价指标能源效率
Keywords
data centerair supply schemeserver room air conditioningthermal performance evaluation indexenergy efficiency