Development of IDC Energy Consumption Predicted Model by Control Conditions using AI

Su-Min Go; Hyung-Eun Park; Young-Hak Song

doi:10.22696/jkiaebs.20240037

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2024 Vol.18, Issue 5 Preview Page Next Page

Research Article

Development of IDC Energy Consumption Predicted Model by Control Conditions using AI 인공지능을 활용한 Internet Data Centre의 제어조건별 에너지사용량 예측 모델 개발

30 October 2024. pp. 441-450

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Abstract

Currently, most of the fluid-related elements such as chilled water, condensing water, and air volume of the internet data centre HVAC system are operated at fixed values annually or seasonally, which causes a decrease in energy efficiency. Therefore, it is necessary to establish a control method that minimizes energy usage by controlling the chilled water and condensing water temperature according to the outdoor air temperature. A model to predict energy usage was developed for efficient control of the entire system. Through PCC (Pearson Correlation Coefficient) analysis, elements affecting energy usage were selected as control variables, and energy usage at each temperature was derived by varying the chilled and condensing water temperature. Afterwards, a prediction model was developed using the results, and it was confirmed that the reliability was secured as CV (RMSE) was 2.19%, NMBE was 0.024%, MAPE was 0.72%, and R² was 0.885.

Keywords

AI (Artificial Intelligence)

Predicted Model

Water-side Economizer

Data Centre

PCC (Pearson Correlation Coefficient)

키워드

인공지능

예측 모델

Water-side Economizer

데이터센터

PCC

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Information

Publisher :Korean Institute of Architectural Sustainable Environment and Building Systems
Publisher(Ko) :한국건축친환경설비학회
Journal Title :Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
Journal Title(Ko) :한국건축친환경설비학회논문집
Volume : 18
No :5
Pages :441-450
Received Date : 2024-09-02
Revised Date : 2024-09-13
Accepted Date : 2024-09-23
DOI :https://doi.org/10.22696/jkiaebs.20240037

Journal of Korean Institute of Architectural Sustainable Environment and Building Systems ISSN:1976-6483(Print) 2586-0666(Online) 한국건축친환경설비학회논문집

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