基于峰谷电价差的数据中心空气蓄冷方案的应用尝试
Application attempt of air cool storage solution for data centers based on peak valley price differences
摘要：
选取了一个典型的传统数据中心,依托优化后的空调集群控制系统,结合上海地区分时电价政策,利用系统精准控制和快速响应能力,率先提出了低电价蓄冷、高电价放冷的空气蓄冷方案,实现了部分削峰填谷,降低了制冷系统用电成本。经实测,本文所研究机房的用电成本降低约2%～4%。该方案的成功试验拓展了传统数据中心蓄冷储能技术的空间,为行业发展提供了新思路。
Abstract：
This paper selects a typical traditional data center, relies on an optimized air conditioning cluster control system, in combination with Shanghai’s time-of-use electricity pricing policy, and takes the lead in proposing an air cool storage solution that involves cool storage during low electricity price periods and cool release during high electricity price periods by leveraging the system’s precise control and rapid response capabilities. This approach achieves partial peak shaving and valley filling, reducing the electricity cost of the cooling system. According to actual measurements, the electricity cost of the computer room studied in this paper has been reduced by approximately 2% to 4%. The successful trial of this solution expands the scope of cool storage and energy storage technologies in traditional data centers and provides new ideas for the development of the industry.
Keywords:data center;air cool storage; time-of-use electricity price; air conditioning cluster control system; peak shaving and valley filling; electricity cost; cold and hot aisle