학술논문
데이터센터 냉각 시스템의 에너지 절약을 위한 인공신경망 기반 열환경 예측 모델
Artificial Neural Network-based Thermal Environment Prediction Model for Energy Saving of Data Center Cooling Systems
Artificial Neural Network-based Thermal Environment Prediction Model for Energy Saving of Data Center Cooling Systems
Document Type
Article
Text
Text
Author
Source
The Journal of the Convergence on Culture Technology (JCCT), 12/31/2023, Vol. 9, Issue 6, p. 883-888
Subject
Language
Korean
ISSN
2384-0358
Abstract
Since data centers are places that provide IT services 24 hours a day, 365 days a year, data center power consumption is expected to increase to approximately 10% by 2030, and the introduction of high-density IT equipment will gradually increase. In order to ensure the stable operation of IT equipment, various types of research are required to conserve energy in cooling and improve energy management. This study proposes the following process for energy saving in data centers. We conducted CFD modeling of the data center, proposed an artificial intelligence-based thermal environment prediction model, compared actual measured data, the predicted model, and the CFD results, and finally evaluated the data center's thermal management performance. It can be seen that the predicted values of RCI, RTI, and PUE are also similar according to the normalization used in the normalization method. Therefore, it is judged that the algorithm proposed in this study can be applied and provided as a thermal environment prediction model applied to data centers.