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논문 기본 정보

자료유형
학술대회자료
저자정보
강경혁 (한국전자기술연구원) 차경환 (한국전자기술연구원) 이명성 (한국전자기술연구원) 김주한 (한국전자기술연구원)
저널정보
대한기계학회 대한기계학회 춘추학술대회 대한기계학회 2022년 학술대회
발행연도
2022.11
수록면
1,893 - 1,898 (6page)

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초록· 키워드

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Recently power consumption in data centers is increasing due to the introduction of high-performance IT (Information Technology) equipment. Cooling energy consumption of data centers is 40% of the total, which is a large proportion, and it is necessary to develop a management system to reduce it. A digital twin is a virtual representation that embodies the real space in the digital space. Through a real-time management system applying digital twin, it is possible to predict the change in previously and also optimized air conditioning control is possible. In the present study, a simplified device was built to verify the reduced-order model in previous, to study on optimizing energy management of buildings based on digital twins. The simplified device consists of a single channel containing a fan, sensors and heating elements. The sensors is measuring the actual temperature data at the inlet and outlet of simple device. The measured inlet temperature data is applied to the digital twin system model by Ansys Twin Builder, a commercial software, and the reduced-order model can predict the outlet temperature in real time through the accumulated data. The accuracy of the digital twin system was verified with a one-dimensional model through Modelica. As a result of applying the reduced-order model to the verified digital twin system, an error occurred of 0.9% based on the maximum wind speed of 2.5 m/s, and the trend of the overall predicted value according to the wind speed was similar to the actual measured value.

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Abstract
1. 서론
2. 이론 및 실험
3. 해석 결과
4. 결론
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