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Application Characteristics of Data Center Air-conditioning System Based on Natural Cooling
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Chang-xing ZHANG1, Guang-lei ZHAO1, Wei-ke DING2, Ming-xian LUO1, Xi-zheng LU1
Science Technology and Engineering | 2025, 25(15) : 6324 - 6331
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Science Technology and Engineering | 2025, 25(15): 6324-6331
Papers·Energy and Power Engineering
Application Characteristics of Data Center Air-conditioning System Based on Natural Cooling
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Chang-xing ZHANG1, Guang-lei ZHAO1, Wei-ke DING2, Ming-xian LUO1, Xi-zheng LU1
Affiliations
  • 1 School of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao 266590, China
  • 2 China Information Consulting & Designing Institute Co., Ltd., Nanjing 210019, China
Published: 2025-05-28 doi: 10.12404/j.issn.1671-1815.2404909
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Natural cooling is one of the more energy-efficient and widely used cooling methods in data center air conditioning systems. Based on the climatic characteristics of Suzhou, Beijing, Guiyang, Guangzhou and Urumqi, the natural cooling system model of data centers was established by TRNSYS, and then the energy saving effect of data centers under the same chilled water supply and return temperatures in different regions was studied. The results show that when the chilled water supply/return temperatures are 15/22 ℃, the longest time for complete natural cooling is in Urumqi, accounting for 67.4% of the year, and the shortest time is in Guangzhou, accounting for 10.2% of the year; the longest time for complete mechanical cooling is in Guangzhou, accounting for 63.0% of the year, and the shortest time is in Urumqi, accounting for 4.3% of the year; the longest time for part of natural cooling is in Guiyang, accounting for 31.8% of the year, and the shortest time is in Beijing, accounting for 4.3% of the year. The longest part of natural cooling time is in Guiyang, accounting for 31.8% of the year, and the shortest is in Beijing, accounting for 18.6% of the year. At full load, the lowest annual average system power usage effectiveness (PUE) was in Urumqi at 1.227, and the highest PUE was in Guangzhou at 1.299. The average annual PUE of the five cities decreases as the load factor increases, and the effect of air conditioning load on the average annual PUE becomes smaller as the load factor increases. The findings provide theoretical support for guiding the application of natural cooling technology in data centers in different regions.

data center  /  natural cooling  /  climate zone  /  PUE
Chang-xing ZHANG, Guang-lei ZHAO, Wei-ke DING, Ming-xian LUO, Xi-zheng LU. Application Characteristics of Data Center Air-conditioning System Based on Natural Cooling[J]. Science Technology and Engineering, 2025 , 25 (15) : 6324 -6331 . DOI: 10.12404/j.issn.1671-1815.2404909
Year 2025 volume 25 Issue 15
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Article Info
doi: 10.12404/j.issn.1671-1815.2404909
  • Receive Date:2024-07-01
  • Online Date:2025-07-09
  • Published:2025-05-28
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  • Received:2024-07-01
  • Revised:2024-11-17
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Affiliations
    1 School of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao 266590, China
    2 China Information Consulting & Designing Institute Co., Ltd., Nanjing 210019, China
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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