Prediction and Simulation Research on Temperature Field of Computer Room Based on Proper Orthogonal Decomposition

The precision air conditioner accounts for 10% of energy consumption in data center. It is important to study how to adjust precision air conditioner to reduce energy consumption. Computational Fluid Dynamics (CFD) model is the most common method to simulate the temperature field in computer room, but the simulation time of existing software is large and the efficiency is low. In this paper, the proper orthogonal decomposition (POD) method is adopted. By taking the temperature field of the computer room under discrete configuration parameters as input, the proper orthogonal decomposition of each temperature field is performed to obtain the proper orthogonal basis of the temperature field, and then the approximate value of the temperature field of the computer room is obtained. Simulink is used to build air conditioning model and computer room model, and the temperature field under random load level is simulated. The results show that POD method has a great advantage in computing speed under the premise of little difference in accuracy.

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Ha Xinnan, Zhang Lizhong, Wang Ye, Wang Jianlei, Hu Feihu, Ma Qianli, Prediction and Simulation Research on Temperature Field of Computer Room Based on Proper Orthogonal Decomposition. 2019 Scientific Conference on Network, Power Systems and Computing (NPSC 2019), 2019: 87-91. DOI: https://doi.org/10.33969/EECS.V3.020.