Optimize Data Center Cooling with Effective Control Systems
■Growing energy cost and environmental responsibility have placed the data center industry under increasing pressure to improve its energy efficiency. Of all data center energy consumption, the cooling system typically consumes the second largest portion (the first being IT equipment). For example, assume a 1MW data center with a PUE of 1.91 at 50% IT load (see sidebar for more assumptions), the cooling system consumes about 36% of the energy used by the entire data center including IT equipment) and about 75% of the energy used by the physical infrastructure (without IT equipment) to support the IT applications.
■Given its large energy footprint, optimizing the cooling system provides a significant opportunity to reduce energy costs. There are three high-level tasks used to establish an efficient cooling system for a new data center design, which are discussed in next section.
■This paper focuses only on one of these three tasks - adopt effective cooling control systems. We investigate the challenges of data center cooling, why traditional cooling controls do not work, and what is an effective cooling control system. Finally, we describe four cooling control levels, when they should be used, the benefits and limitations of each level, and provide examples of each.
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White Paper |
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Please see the document for details |
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English Chinese Chinese and English Japanese |
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2017/10/13 |
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Revision 0 |
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1.5 MB |
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