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储能系统技术 ★ 5.0

水库式储热系统在数据中心冷却系统中的技术经济性能

Techno-economic performance of reservoir thermal energy storage for data center cooling system

作者 Hyunjun Oh · Wencheng Jin · Peng Peng · Jeffrey A.Winick · David Sickinger · Dale Sartor · Yingqi Zhang · Koenraad Beckers · Kevin Kitzg · Diana Acero-Allar · Trevor A.Atkinson · Patrick Dobson
期刊 Applied Energy
出版日期 2025年1月
卷/期 第 391 卷
技术分类 储能系统技术
相关度评分 ★★★★★ 5.0 / 5.0
关键词 The RTES reliably supplies a 5 MW data center cooling load over the 20-year lifetime.
语言:

中文摘要

摘要 数据中心内的电子设备在运行过程中会产生热量,必须通过冷却系统将热量散去,以防止设备过热并维持其最佳性能。随着对数据密集型服务需求的不断增长,用于数据中心冷却系统的电力消耗也日益显著。尽管已有多种技术被开发并集成到数据中心冷却系统中,但目前仍缺乏高效的替代方案。本研究设计了一种水库式热能储存(RTES)系统,该系统可在冬季储存冷能,并在夏季释放以供数据中心冷却使用。随后,我们评估了将RTES与干式冷却器及余热回收技术结合,满足全年5 MW冷却负荷的技术经济性能。结果表明,在20年的使用寿命内,RTES的制冷输出具有高度可靠性。我们估算其平准化制冷成本为5美元/MWh,显著低于基准情景下无RTES、仅由冷水机组和干式冷却器满足相同冷却负荷时的15美元/MWh。此外,相较于基准情景,基于RTES的冷却系统每年可减少高达1488吨二氧化碳当量(tCO₂e)的碳排放。上述结果凸显了RTES在技术经济上的可行性及其环境效益,表明该系统不仅适用于数据中心冷却,还具备大规模应用于其他领域的潜力。

English Abstract

Abstract Electronic equipment in data centers generates heat during operation, which should be dissipated through a cooling system to prevent overheating and maintain optimal performance. Electricity consumption for the data center cooling system becomes significant as the demand for data-intensive services increases. Although various technologies have been developed and integrated into the data center cooling system, there are limited high-efficiency alternatives for data center cooling. In this study, we designed a reservoir thermal energy storage (RTES) system that stores cooling energy during winters and produces it during summers for data center cooling. We then demonstrated the techno-economic performance of the RTES incorporated with dry coolers and heat recovery for a year-round 5 MW cooling load. The RTES cooling production was reliable during the 20-year lifetime. We estimated the levelized cost of cooling as $5/MWh, significantly lower than $15/MWh for the base scenario where chillers and dry coolers supply the same cooling load without the RTES. We also estimated that the RTES-based cooling system annually avoids CO 2 emissions up to 1488 tCO 2 e compared to the base case. These results highlight techno-economic feasibility and environmental benefits of the RTES and its potential to be deployed for various applications at large scales as well as for data center cooling.
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SunView 深度解读

该储热技术为数据中心冷却提供了创新思路,对阳光电源储能系统具有重要启示。可将ST系列PCS与热能存储结合,开发冷热电三联供方案:冬季利用光伏余电驱动热泵储冷,夏季释放降低数据中心能耗。技术优势体现在:1)levelized成本仅为传统方案1/3,与PowerTitan储能经济性目标契合;2)年减排1488吨CO2,符合双碳战略;3)可集成iSolarCloud平台实现冷量预测调度。建议探索PCS双向变流技术在冷热电耦合场景的拓展应用,为大型数据中心提供综合能源解决方案。