Management and predictions of operational changes and growth in mission critical facilities
Management and predictions of operational changes and growth in mission critical facilities
复制标题
管理和预测关键任务设施的运营变化和增长
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
M. Seymour
中科院分区：
文献类型：
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作者：
H. Alissa;K. Nemati;B. Sammakia;Tom Wu;M. Seymour
了解传统数据中心冷却性能的主要挑战是不可见的传输介质（空气）。这强调了对智能和细致的测量技术的需求。然而，测量的性质是有限的（例如，顶部、中部和底部），并且测量之间的变化通常是非线性的，因此，为了捕获测量点之间的梯度，需要进行经过验证的CFD模拟。在本文中，一个新的数据中心实验室的实验表征的简要描述进行了讨论。气流和温度测量用于了解设施在不同运行阶段的性能，直到达到设计容量。由于该设施容纳了各种不同的IT设备（服务器、交换机、存储和刀片式服务器），因此了解每种设备的气流需求非常重要。为此，分别测试每种类型的IT并获得流动特性（即自由输送、临界压力和流动曲线）。在第二部分中，所有表征数据通过紧凑模型集成到完整的CFD模拟中。测量点用于验证，并解决了空气温度和流量的整个领域。现在，测量和模拟数据都将用于回答重要的设计、部署和操作更改问题。
The main challenge in understanding the cooling performance in a legacy data center is the invisible transport medium (air). This emphasizes the need for smart and meticulous measurement techniques. However, the nature of measurements is finite (e.g. top, middle and bottom) and the variation between often non-linear, therefore to capture the gradients between measured points a validated CFD simulation is needed. In this paper a brief description of an experimental characterization of a new data center lab is discussed. Airflow and temperature measurements are utilized to understand the facility's performance at different operational stages, until reaching the designed capacity. Since the facility houses a wide range of different IT equipment (servers, switches, storage and blades), it is important to understand the airflow demand of each. To do that, each type of IT was tested separately and flow characteristics were obtained (i.e. free delivery, critical pressure and flow curves). In the second part, all the characterization data is integrated via compact models into a full CFD simulation. The measured points are used for validation and the full field of air temperature and flow is resolved. Both the measurements and simulation data will now be used to answer important design, deployment and operational change questions.