대한건축학회논문집 (Journal of the Architectural Institute of Korea)

  • 제37권8호
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  • Pages.153-164
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  • 2021
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  • 2733-6239(pISSN)
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  • 2733-6247(eISSN)
대한건축학회 (Architectural Institute of Korea)
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DOI QR코드

DOI QR Code

에너지이용 효율화를 위한 데이터센터 에너지소비 구조 분석 - S 데이터센터 사례분석을 중심으로 -

An Analysis of the Data Center Energy Consumption Structure for Efficient Energy Utilization - In Case of S Telecom Data Center in Korea -

  • 조진균 (국립한밭대학교 설비공학과)
  • Cho, Jinkyun (Department of Building and Plant Engineering, Hanbat National University)
  • 투고 : 2021.07.04
  • 심사 : 2021.07.29
  • 발행 : 2021.08.30
⟨ 이전 논문 다음 논문 ⟩

초록

Today, about 1% of the global electricity is eaten up by data centers. The ongoing global digital transformation in conventional growth and capability will not only boost the number and size of data centers but also their energy consumption and carbon footprint. In Korea, data centers, became the largest users of energy consumption, spend an average of 208,480 toe annually in 2017. Data center energy consumption was the highest among the building types. Because of the higher energy consumption, energy efficiency becomes more and more important. However, insufficient energy data has been a significant barrier against fully understanding of energy use characteristics, and demand load features of data centers. This study aims to develop an energy baseline standard to tackle the questions of energy efficiency for data centers. Many data centers have utilized a statistical data which may not fully capture the energy flow within the IT sector and Non-IT sector. With the goal of overcoming these limitations, a methodology to reveal the data center energy flow and the energy baseline based on IT load were developed. Taking S telecom data center for case study, this paper proposes systematically how to make and analyze the energy structure. First, equipment-level energy efficiency is the best resources to help energy saving in data center be it large or small. Second, building-level energy efficiency is related to numerous operating characteristics that are identified as potentially important for data centers.

키워드

과제정보

이 논문은 과학기술정보통신부의 재원으로 한국연구재단의 지원을 받아 수행된 연구임 (No. 2020R1F1A1049498).

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