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Research on energy saving method of IDC CRAC system based on prediction of working load

机译:基于工作负荷预测的IDC CRAC系统节能方法研究

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摘要

Amid the information era, energy consumption of IDC Computer Room Air Conditioning (CRAC) system is becoming increasingly serious, thus there is growing concern over energy saving and consumption reduction. Based on the analysis of the energy saving application of the air conditioning system in the present computer room, a new energy saving method of the IDC CRAC system, which presents energy saving decision based on the prediction of equipment load state, is proposed. Its principle is collection of CPU utilization reflected the change of equipment state according to the predict of distribution condition of the next cycle by building and decomposing the original time series and building a seasonal decomposition model with Holt Winters forecasting method. Choosing a reasonable and effective decision-making scheme of the air conditioning system can realize energy saving control. Simulation experiments represent that energy consumption is reduced by 18.75% during the experiment with the energy saving method proposed in this paper and the energy saving advantage is fully reflected.
机译:在信息时代,IDC机房空调(CRAC)系统的能耗越来越严重,因此人们越来越关注节能和降低能耗的问题。在分析当前机房空调系统节能应用的基础上,提出了一种基于设备负荷状态预测提出节能决策的IDC CRAC系统节能新方法。它的原理是通过建立和分解原始时间序列并使用Holt Winters预测方法建立季节分解模型,根据下一个周期的分布状况的预测收集反映出设备状态变化的CPU利用率。选择合理有效的空调系统决策方案可以实现节能控制。仿真实验表明,采用本文提出的节能方法,在实验过程中能耗降低了18.75%,充分体现了节能优势。

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