Design and Optimization of Control Strategy to Reduce Pumping Power in Dynamic Liquid Cooling

Design and Optimization of Control Strategy to Reduce Pumping Power in Dynamic Liquid Cooling
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动态液冷降低泵浦功率控制策略的设计与优化

DOI:
10.1115/1.4049018
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发表时间:
2021
影响因子:
1.6
通讯作者:
Agonafer, Dereje
Agonafer, Dereje
中科院分区:
工程技术4区
文献类型:
--
作者:
Kasukurthy, Rajesh;Rachakonda, Amruthavalli;Agonafer, Dereje

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数据中心是组织用于计算和存储目的的一大组联网服务器。2014年,仅在美国,数据中心就消耗了大约700亿千瓦时。考虑到有限的可用电力资源,热工程师有责任开发有效的方法,以最大限度地减少至少用于冷却的支出。电子冷却研究一直关注的关键领域之一是解决机架、服务器甚至封装级别的不均匀功率分配问题。芯片级的不均匀加热会在整个芯片上产生热点和温度梯度,这反过来又会显著增加冷却成本,因为冷却成本是最大结温的函数。这一挑战增加了温度传感机制的使用,以帮助找到减轻梯度的方法。节省泵浦功率和解决单芯片或多芯片模块上的热点的一种非常有效的方法是有针对性地输送液体冷却剂。实现冷却剂的这种目标输送的一种方式是通过使用与可以基于温度控制流速的自调节流量控制装置耦合的动态冷板。这种新的技术将有更有效的实施加上良好的控制策略。本文论述了这种控制策略的开发和测试与最少的传感器沿着与更少的延迟和优化相同。
Data centers are a large group of networked servers used by organizations for computational and storage purposes. In 2014, data centers consumed an estimated 70 billion kWh in the United States alone. It is incumbent on thermal engineers to develop efficient methods in order to minimize the expenditure at least toward cooling considering the limited available power resources. One of the key areas where electronic cooling research has been focusing, is addressing the issue of nonuniform power distribution at the rack, server and even at package levels. Nonuniform heating at the chip level creates hotspots and temperature gradients across the chip which in turn significantly increases the cost of cooling, as cooling cost is a function of the maximum junction temperature. This challenge has increased the use of temperature sensing mechanisms to help in finding ways to mitigate the gradients. A very effective way to conserve pumping power and address hotspots on the single or multichip modules is by targeted delivery of liquid coolant. One way to enable such targeted delivery of coolant is by using dynamic cold plates coupled with self-regulating flow control device that can control flow rate based on temperature. This novel technology will have more effective implementation coupled with a good control strategy. This paper addresses the development and testing of such control strategy with minimal sensors along with less latency and optimization of the same.
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