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Optimization of immersion cooling performance using the Taguchi Method
Case Studies in Thermal Engineering ( IF 6.8 ) Pub Date : 2020-07-24 , DOI: 10.1016/j.csite.2020.100729
Ilham Wahyu Kuncoro , Nugroho Agung Pambudi , Muhammad Kunta Biddinika , Cucuk Wawan Budiyanto

Data centers have become one of the most important elements of the Industrial Revolution 4.0. However, conventional data centers face the problem of electricity consumption, with 40% being used for the cooling systems. This led to the proposed development of immersion cooling as one of the methods to solve the current data center cooling system issues. This paper, therefore, was aimed at determining the factors affecting the immersion cooling performance using mineral oil. The experiment was further conducted by creating an immersion cooling box and running the server by loading the software. The contribution and effect of each factor were also determined through the use of the Taguchi Method with Orthogonal Array L8. The performances measured include the CPU temperature and Energy Consumption using the effect of the inlet-outlet location, flowrate and cooling fan speed as the Taguchi factors. The results showed that the CPU temperature was affected by cooling fans with 71.278% and energy consumption by 75.034%.



中文翻译:

使用Taguchi方法优化浸入冷却性能

数据中心已成为工业革命4.0最重要的元素之一。但是,传统的数据中心面临用电问题,其中40%用于冷却系统。这导致了拟议中的浸没式冷却技术的发展,作为解决当前数据中心冷却系统问题的方法之一。因此,本文旨在确定影响使用矿物油的浸没冷却性能的因素。通过创建浸入式冷却箱并通过加载软件运行服务器来进一步进行实验。还通过使用Taguchi方法和正交阵列L8来确定每个因素的贡献和影响。所测得的性能包括CPU温度和使用进/出口位置影响的能耗,流量和冷却风扇速度是田口的因素。结果表明,散热风扇对CPU温度的影响为71.278%,能耗为75.034%。

更新日期:2020-07-24
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