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Heat to Power: Thermal Energy Harvesting and Recycling for Warm Water-Cooled Datacenters

机译:从热到电:温暖的水冷数据中心的热能收集和回收

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Warm water cooling has been regarded as a promising method to improve the energy efficiency of water-cooled datacenters. In warm water-cooling systems, hot spots occur as a common problem where the hybrid cooling architecture integrating thermoelectric coolers (TECs) emerges as a new remedy. Equipped with this architecture, the inlet water temperature can be raised higher, which provides more opportunities for heat recycling. However, currently, the heat absorbed from the server components is ejected directly into the water without being recycled, which leads to energy wasting. In order to further improve the energy efficiency, we propose Heat to Power (H2P), an economical and energy-recycling warm water cooling architecture, where thermoelectric generators (TEGs) harvest thermal energy from the “used” warm water and generate electricity for reusing in datacenters. Specifically, we propose some efficient optimization methods, including an economical water circulation design, fine-grained adjustments of the cooling setting and dynamic workload scheduling for increasing the power generated by TEGs. We evaluate H2P based on a real hardware prototype and cluster traces from Google and Alibaba. Experiment results show that TEGs equipped with our optimization methods can averagely generate 4.349 W, 4.203 W, and 3.979 W (4.177 W averagely) electricity on one CPU under the drastic, irregular and common workload traces, respectively. The power reusing efficiency (PRE) can reach 12.8%∼16.2% (14.23% averagely) and the total cost of ownership (TCO) of datacenters can be reduced by up to 0.57%.
机译:热水冷却已被视为提高水冷数据中心能效的一种有前途的方法。在温水冷却系统中,热点是一个常见问题,集成了热电冷却器(TEC)的混合冷却体系结构作为一种新的解决方案而兴起。配备此架构,可以提高进水温度,这为热回收提供了更多机会。但是,目前,从服务器组件吸收的热量不经回收直接排放到水中,这导致能源浪费。为了进一步提高能源效率,我们提出了热能发电(H2P),这是一种经济且可回收能源的热水冷却架构,其中热电发电机(TEG)从“用过的”热水中收集热能并发电以供再利用在数据中心。具体来说,我们提出了一些有效的优化方法,包括经济的水循环设计,冷却设置的细粒度调整以及动态工作负荷调度,以增加TEG的发电量。我们基于真实的硬件原型以及来自Google和阿里巴巴的集群跟踪评估H2P。实验结果表明,采用我们的优化方法的TEG可以在一个剧烈,不规则和常见的工作负载痕迹下,在一个CPU上平均产生4.349 W,4.203 W和3.979 W(平均为4.177 W)的电能。功率重用效率(PRE)可以达到12.8%〜16.2%(平均为14.23%),数据中心的总拥有成本(TCO)最多可以降低0.57%。

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