Abstract To improve energy efficiency of data centers, an air conditioning system for the concept of demand-based on cooling was proposed. This system combines a heat pipe cooling cycle and a vapor compression cooling cycle. Besides, the evaporative condenser is used to further utilize the natural cooling source, and the evaporator is put into the rack to realize on-demand cooling. A mathematical model was established to perform simulations of the system. The results showed that the energy consumption of compressor and pump reduce with the rising of outdoor unit air flow and evaporator inlet temperature. The coefficient of performance (COP) was selected as a reference index. When the cooling capacity is 8000 W, 6400 W and 4800 W, the optimal outdoor unit air flow of the heat pipe mode is 2000 m3/h, 1400 m3/h and 800 m3/h, respectively, and that of the vapor compression mode is 4000 m3/h, 3600 m3/h and 2400 m3/h, respectively. With the rising of evaporator inlet temperature from 29 °C to 41 °C under rated conditions, the heat pipe mode COP increased by 30.11%, 13.52% and 6.30%, respectively, and the vapor compression mode COP increased by 74.65%, 82.12% and 90.97%, respectively.

中文翻译：

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基于按需制冷理念的数据中心空调系统运行参数影响研究

摘要 为提高数据中心的能效，提出了一种基于制冷需求的空调系统。该系统结合了热管冷却循环和蒸汽压缩冷却循环。此外，采用蒸发式冷凝器进一步利用自然冷源，将蒸发器置于机架内，实现按需制冷。建立数学模型对系统进行仿真。结果表明，压缩机和泵的能耗随着室外机风量和蒸发器入口温度的升高而降低。选择性能系数（COP）作为参考指标。当制冷量为8000 W、6400 W和4800 W时，热管模式的最佳室外机风量分别为2000 m3/h、1400 m3/h和800 m3/h，蒸汽压缩模式分别为4000 m3/h、3600 m3/h和2400 m3/h。在额定工况下，随着蒸发器入口温度从29℃升高到41℃，热管模式COP分别增加30.11%、13.52%和6.30%，蒸汽压缩模式COP分别增加74.65%、82.12%和 90.97%，分别。