Optimization and control of cooling microgrids for data centers
Optimization and control of cooling microgrids for data centers
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DOI：
10.1109/itherm.2012.6231449
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发表时间：
2012-07
期刊：
影响因子：
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通讯作者：
Rongliang Zhou;Zhikui Wang;A. McReynolds;C. Bash;T. Christian;R. Shih
中科院分区：
文献类型：
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作者：
Rongliang Zhou;Zhikui Wang;A. McReynolds;C. Bash;T. Christian;R. Shih
当今数据中心的可靠运行需要大量的电力来为IT设备和支持冷却设施供电。数据中心总耗电量的一半可归因于维持IT设备热状态所需的冷却系统。为了降低冷却系统的电力使用并因此减少数据中心的环境足迹，正在开发替代的冷却资源，例如水和空气侧节能器，以补充或替代传统的基于冷冻水的冷却方案。各种冷却资源选项连同用于将冷却资源分配和递送到IT设备机架的机制一起构成冷却微电网。在本文中，我们提出了一个整体的观点，数据中心冷却微电网的优化和控制。这种整体方法优化了现场组合中冷却资源的采购和分配，以响应实时天气变化和现场需求。冷却微电网优化和控制框架已在一个研究数据中心实施，我们估计，该框架每年减少30%的冷却成本。
Reliable operation of today's data centers requires a tremendous amount of electricity to power both the IT equipment and the supporting cooling facilities. As much as half of total data center electricity consumption can be attributed to the cooling systems required to maintain the thermal status of IT equipment. In order to lower the electricity usage of the cooling system and hence reduce the data center environmental footprint, alternative cooling resources, such as water and air-side economizers, are being exploited to supplement or replace the traditional chilled water based cooling schemes. The various cooling resource options, together with the mechanisms to distribute and deliver the cooling resource to IT equipment racks, constitute a cooling microgrid. In this paper, we present a holistic perspective for the optimization and control of the data center cooling microgrid. The holistic approach optimizes the sourcing and distribution of cooling resources from the site portfolio in response to real-time weather changes and site demand. The cooling microgrid optimization and control framework has been implemented in a research data center; we estimate that the framework cuts the yearly cooling costs by 30%.