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Model-Free Control of Data Center Compressor-Based Cooling Systems

机译:无模型控制数据中心压缩机的冷却系统

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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.
机译:数据中心是能源密集型设施,近一半的总能耗用于冷却IT设备。特别地,传统上,数据中心冷却系统传统上依赖于基于压缩机的冷却。即使,最近已经引入了许多用于可靠冷却的替代方案(例如,自由冷却技术),使用最小量的蒸汽压缩冷却,以确保备用冷却并降低电脑室内的湿度或峰值温度。 。这种能量密集型冷却系统的有效操作可能会降低其能量消耗并减少环境影响。本文介绍了一种无模型控制方法,以实现这种冷却系统的有效管理。实际上,可以通过控制系统可以设置的各种操作组合来满足数据中心冷却需求,以最大化基于压缩机的冷却系统的整体操作效率。具体而言,我们开发了基于MATLAB的计算机空调(CRAC)仿真环境,以设计极值寻求控制方案。通过CRAC不同操作条件的模拟评估了所提出的无模型控制方法的有效性和性能。

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