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Cooling architecture selection for air-cooled Data Centers by minimizing exergy destruction

机译:通过最大限度地减少漏洞破坏来冷却架构选择空气冷却数据中心

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摘要

Air-cooled Data Centers (DCs) require effective thermal management of the servers which can be accomplished by implementing new cooling architectures. Nearly 33% of overall energy consumption is attributed to the cooling infrastructure, which indicates the importance of the specific cooling configuration. Our objective is to compare four emerging and traditional DC cooling architectures, (a) in-row cooling, (b) rack-mountable cooling (RMC), (c) underfloor air delivery (UFAD), and (d) overhead air delivery. Since a first law-based energy analysis of a DC cooling architecture seldom considers irreversibility and component level inefficiency, an exergy-based analysis provides an alternate basis of assessment. We propose a methodology that combines computational fluid dynamics simulations with thermodynamic energy and exergy balances to determine the exergy loss in different components in DC. A dimensionless parameter is identified to characterize the exergy loss as a function of the Peclet number and the dimensionless dead state temperature ratio. The architecture containing RMC unit has the lowest exergy loss. The chiller loss constitutes up to 55% of the overall exergy loss. This analysis facilitates better decision making and design choices for air-cooled DCs based on minimizing thermodynamic irreversibility to lower energy waste.
机译:风冷数据中心(DCS)需要通过实现新的冷却架构来实现的服务器的有效热管理。整体能耗的近33%归因于冷却基础设施,这表明了特定冷却配置的重要性。我们的目标是比较四种新兴和传统的直流冷却架构,(a)连续冷却,(b)架架耐磨冷却(RMC),(c)下层空气输送(UFAD),和(d)架空空气输送。由于对DC冷却架构的第一个基于法律的能量分析很少考虑不可逆转和组分级别低效率,基于DC和组分级别低效率,基于DC的分析提供了评估的交替。我们提出了一种将计算流体动力学模拟与热力学能量和低级余额相结合的方法,以确定DC中不同组件的漏洞。确定无量纲参数以表征作为PECLET编号的函数和无量纲死状态温度比的漏洞。包含RMC单元的架构具有最低的损耗。冷却器损失占整体漏洞损失的55%。基于最小化能量浪费的热力学不可逆性,该分析有助于更好地决策和设计选择对空气冷却的DCS。

著录项

  • 来源
    《Energy》 |2020年第15期|117625.1-117625.17|共17页
  • 作者单位

    Computing Infrastructure Research Centre McMaster University Hamilton Ontario Canada Department of Mechanical Engineering McMaster University Hamilton Ontario Canada;

    Computing Infrastructure Research Centre McMaster University Hamilton Ontario Canada Department of Mechanical Engineering McMaster University Hamilton Ontario Canada;

    Computing Infrastructure Research Centre McMaster University Hamilton Ontario Canada Department of Mechanical Engineering McMaster University Hamilton Ontario Canada;

    Computing Infrastructure Research Centre McMaster University Hamilton Ontario Canada;

    Computing Infrastructure Research Centre McMaster University Hamilton Ontario Canada Department of Mechanical Engineering McMaster University Hamilton Ontario Canada;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Data center; Exergy destruction; Distributed cooling; Energy efficiency; Irreversibility;

    机译:数据中心;漏洞破坏;分布式冷却;能源效率;不可逆转;

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