数据中心压缩机冷却系统的无模型控制

M. Rampazzo, Michele Lionello, Fernando Carpignani Panebianco, A. Beghi
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引用次数: 1

摘要

数据中心是能源密集型设施,近一半的能源消耗用于IT设备的冷却。特别是,数据中心冷却系统传统上依赖于基于压缩机的冷却。尽管最近已经引入了一些可靠的冷却方法(例如自然冷却技术),但为了确保备用冷却和降低机房内的湿度或峰值温度,仍使用了少量的蒸汽压缩冷却。这种能源密集型冷却系统的高效运行可以降低其能源消耗,减少对环境的影响。本文提出了一种无模型控制方法,以实现对这类冷却系统的有效管理。实际上,数据中心的冷却需求可以通过控制系统设置的各种运行模式组合来满足,从而最大限度地提高基于压缩机的冷却系统的整体运行效率。具体来说,我们开发了一个基于matlab的机房空调(CRAC)仿真环境,以设计一种极值寻求控制方案。通过不同工况下的仿真,对所提出的无模型控制方法的有效性和性能进行了评价。
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Model-Free Control of Data Center Compressor-Based Cooling Systems
Data centers are energy intensive facilities and nearly half of the total energy consumption is used to cool the IT equipment. In particular, data center cooling systems have traditionally relied on compressor-based cooling. Even though, more recently a number of alternatives for reliable cooling have been introduced (e.g. free-cooling technologies), a minimal amount of vapour compression cooling is used in order to ensure backup cooling and to reduce humidity or to peak temperature inside the computer rooms. The efficient operation of this kind of energy-intensive cooling systems may decrease their energy consumption and diminish the environmental impact. In this paper, a model-free control approach is presented for the efficient management of this kind of cooling system. Indeed, data center cooling needs can be met with various combinations of modes of operation that can be set by the control system to maximize the compressor-based cooling system overall operating efficiency. Specifically, we have developed a Matlab-based Computer Room Air Conditioning (CRAC) simulation environment in order to design an Extremum Seeking Control scheme. The effectiveness and performance of the proposed model-free control approach have been evaluated by means of simulations in CRAC different operating conditions.
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