数据中心被动两相冷却系统的实验验证与设计仿真

J. Marcinichen, J. Thome, R. L. Amalfi, Filippo Cataldo
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引用次数: 2

摘要

热虹吸冷却系统代表了数据中心冷却和电子设备冷却的未来,因为它们提供高热性能,可靠性和能源效率,以及在高温下捕获热量,适用于许多热再利用应用。另一方面,被动两相热虹吸管的设计极具挑战性,因为沸腾和冷凝过程涉及复杂的物理过程;特别是,最重要的挑战是准确预测热虹吸管的流量,从而预测热性能。本文提出了一个实验验证,以评估JJ Cooling Innovation的热虹吸管模拟器对一个独立数据集的预测能力,该数据集包括各种操作条件和系统大小,即诺基亚贝尔实验室收集的服务器级冷却的热虹吸管数据。测试数据与模拟结果的比较显示出良好的一致性,证实了模拟器准确地预测了热虹吸冷却系统(冷板、提升管、蒸发器、降水管(没有拟合参数)和最终的液体蓄能器)的传热性能和压降,以及运行特性和流动状态。此外,模拟器能够设计一个单回路热虹吸(例如,用于冷却单个服务器的处理器),如本研究所示,但也能够模拟更复杂的冷却架构,其中服务器级和机架级的许多热虹吸必须并行运行(例如,用于冷却整个服务器机架)。这项任务将作为今后的工作来执行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental Validation and Design Simulations of a Passive Two-Phase Cooling System for Datacenters
Thermosyphon cooling systems represent the future of datacenter cooling, and electronics cooling in general, as they provide high thermal performance, reliability and energy efficiency, as well as capture the heat at high temperatures suitable for many heat reuse applications. On the other hand, the design of passive two-phase thermosyphons is extremely challenging because of the complex physics involved in the boiling and condensation processes; in particular, the most important challenge is to accurately predict the flow rate in the thermosyphon and thus the thermal performance. This paper presents an experimental validation to assess the predictive capabilities of JJ Cooling Innovation’s thermosyphon simulator against one independent data set that includes a wide range of operating conditions and system sizes, i.e. thermosyphon data for server-level cooling gathered at Nokia Bell Labs. Comparison between test data and simulated results show good agreement, confirming that the simulator accurately predicts heat transfer performance and pressure drops in each individual component of a thermosyphon cooling system (cold plate, riser, evaporator, downcomer (with no fitting parameters), and eventually a liquid accumulator) coupled with operational characteristics and flow regimes. In addition, the simulator is able to design a single loop thermosyphon (e.g. for cooling a single server’s processor), as shown in this study, but also able to model more complex cooling architectures, where many thermosyphons at server-level and rack-level have to operate in parallel (e.g. for cooling an entire server rack). This task will be performed as future work.
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