一种基站风冷精密空调优化调控方法及节能潜力分析
An optimization control strategy for air-cooled precision air conditioning system in base stations and analysis of its energy-saving potential
摘要：
针对一种用于通信基站的结合自然冷却与蒸气压缩式制冷的空调系统,提出了动态优化运行控制策略,通过调整送风温度(tas)和风量(ma),实现了不同室外温度条件下空调系统能耗最低。搭建了空调负荷及能耗计算模型,对传统策略及优化策略的全年逐时空调能耗进行了计算。结果显示,不同室外温度下均存在最优风量和最优送风温度,使得空调能耗最低,该最优解与室外温度相关。在北京市全年逐时室外温度条件下,当基站服务器发热量为15 kW时,对于送风温度固定为20 ℃的传统策略,年均基站整体性能系数(S-COPann)为2.53,而优化策略的S-COPann提升至2.78,总空调能耗减少9%。
Abstract：
This paper proposes a dynamic optimization operation control strategy for an air conditioning system that combines natural cooling with vapor compression refrigeration for communication base stations. By adjusting the supply air temperature (tas) and air volume (ma), it aims to minimize the energy consumption of the air conditioning system under different outdoor temperature conditions. An air conditioning load and energy consumption calculation model is established to compute the annual hourly air conditioning energy consumption for both the traditional and optimized strategies. The results show that there exist optimal air volumes and optimal supply air temperatures under different outdoor temperatures, which results in the lowest air conditioning energy consumption, and these optimal solutions are related to the outdoor temperature. Under the annual hourly outdoor temperature conditions in Beijing, when the heat generation of the base station servers is 15 kW, for the traditional strategy with a fixed supply air temperature of 20 ℃, the annual average base station overall coefficient of performance (S-COPann) is 2.53, while the optimization strategy raises the S-COPannto 2.78, reducing the total air conditioning energy consumption by 9%.
Keywords:communication base station; precision air conditioning; optimization strategy; dynamic optimization; energy saving; performance comparison