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

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.