能源效率就足够了吗?填补数据中心设计和运营的工程空白

M. Seymour
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引用次数: 3

摘要

数据中心行业的重点是提高现代数据中心的能源效率,因为它们的能源成本和消耗不断增加,以及随之而来的碳排放。然而,数据中心冷却性能缺乏采用的流程或指标;这可能会使设施面临风险,因为只关注能源效率会带来看不见的后果。数据中心运营商面临的挑战是如何评估冷却性能。该设施的设计可能会假设将安装哪些IT设备以及如何配置这些设备,而这些设备不会反映在操作配置中。本文采用基于计算流体力学(CFD)的工程模拟,展示了可安全安装的IT设备数量与冷却系统效率之间的关系。两者都受到冷却系统设置和部署的任何IT设备/应用程序的更改的影响。IT热负荷和气流需求在传统/企业风格的数据中心和虚拟化/云数据中心都是不同的,这会影响冷却需求。使用工程模拟来预测变化的后果,为运营商提供了一个有价值的补充工具:它可以帮助运营商了解如何避免产能损失,并帮助他们在做出基础设施、it部署或(在虚拟化环境中)应用程序部署决策时更好地配置设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is energy efficiency enough? Filling the engineering gap in data center design and operation
The data center industry is focused on improving the energy efficiency of modern data centers due to their increasing energy costs and consumption, and the consequent carbon emissions. However, there is a lack of adopted process or metrics for data center cooling performance; this potentially puts facilities at risk from the unseen consequences of focusing on energy efficiency alone. The challenge for a data center operator is how to assess cooling performance. The facility's design likely makes assumptions about what IT equipment will be installed and how it will be configured that are not reflected in the operational configuration. This paper uses engineering simulation based on computational fluid dynamics (CFD) to show the relationship between the quantity of IT equipment that may be safely installed and the efficiency of the cooling system. Both are affected by changes to the cooling system settings and any IT equipment/applications deployed. The IT heat load and airflow requirement varies in legacy/enterprise style data centers and virtualized/cloud data centers alike, and this affects the cooling requirement. Using engineering simulation to predict the consequences of change provides a valuable complementary tool to the operator: it gives insight on how to avoid lost capacity, and helps them to better configure their facility when making decisions on infrastructure, IT deployment, or - in a virtualized environment - application deployment.
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