蒸发冷却式机房空调系统优化研究

Research on the Optimization of Evaporative Cooling Data Center Air Conditioning Systems

摘要

本文采用试验研究方法，以刀片式蒸发冷却机房空调为对象，探究喷淋形式、冷却风量、泵机启动顺序及风量自控对系统能效与运行稳定性的影响。结果表明：分布式喷淋可让换热表面水膜分布更均匀，额定工况下系统能效比提升5.4%；冷却风量超出额定值后能效下降，存在最优风量区间；优化启停顺序并采用冷凝压力联动风量调节策略，能有效降低冷凝压力波动，提升运行平稳性。结论定量数据为：分布式喷淋使能效比提升5.4%，合理管控冷却风量、优化控制策略可增强系统节能效果与稳定性，为数据中心蒸发冷却空调设计优化及工程应用提供参考。

Abstract

This paper employs experimental research methods to study blade-type evaporative cooling data center air conditioning systems, investigating how spray patterns, cooling airflow rates, pump-starting sequences, and airflow automatic control affect the system’s energy efficiency and operational stability. The results indicate that distributed spraying can achieve a more uniform distribution of the water film on the heat exchange surface, thereby increasing the system’s energy efficiency ratio by 5.4% under rated operating conditions; when the cooling airflow rate exceeds the rated value, the energy efficiency decreases, indicating the existence of an optimal airflow range; optimizing the start-stop sequence and implementing a condensing pressure-linked airflow regulation strategy can effectively reduce condensing pressure fluctuations and enhance operational stability. The quantitative results show that distributed spraying increases the energy efficiency ratio by 5.4%, and proper control of the cooling airflow rate combined with optimized control strategies can further enhance the energy-saving effects and stability of the system, providing a reference for the design optimization and engineering application of evaporative cooling air conditioning systems in data centers.

关键词

刀片式蒸发冷却 / 机房空调 / 数据中心 / 能效优化 / 运行稳定性

Key words

blade-type evaporative cooling / data center air conditioning / data center / energy efficiency optimization / operational stability

参考文献

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