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http://dx.doi.org/10.5659/JAIK.2021.37.8.153

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

Cho, Jinkyun (Department of Building and Plant Engineering, Hanbat National University)
Publication Information
Journal of the Architectural Institute of Korea / v.37, no.8, 2021 , pp. 153-164 More about this Journal
Abstract
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.
Keywords
Data center; Energy consumption characteristics; Data center energy flow; IT sector; Non-IT sector; Case study;
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1 ASHRAE (2016). ASHRAE Standard 90.4-2016 Energy Standard for Data Centers, American Society of Heating Refrigerating and Air-Conditioning Engineers, Inc.
2 ASHRAE TC 9.9 (2015). Thermal Guideline for Data Processing Environments, American Society of Heating Refrigerating and Air-Conditioning Engineers, Inc.
3 Cho, J., & Woo, J. (2020). Development and experimental study of an independent row-based cooling system for improving thermal performance of a data center, Applied Thermal Engineering, 169, 114857.   DOI
4 Tradat, M., Manaserh, Y., Sammakia, B., Hoang, C.H., & Alissa, H.A. (2021). An experimental and numerical investigation of novel solution for energy management enhancement in data centers using underfloor plenum porous obstructions, Applied Energy, 289, 116663.   DOI
5 EPA (2018). ENERGY STAR Score for Data Centers in the United States, Environmental Protection Agency.
6 Liu, Y., Wei, X. Xiao, J., Liu, Z. Xu, Y., & Tian, Y. (2020). Energy consumption and emission mitigation prediction based on data center traffic and PUE for global data centers, Global Energy Interconnection, 3(3), 272-282.   DOI
7 Masanet, E., Shehabi, A., Lei, N., Smith, S., & Koomey, J. (2020). Recalibrating global data center energy-use estimates, Science 367(6481), 984-986.   DOI
8 MOTIE (2020). 9th Master Plan for Demand and Supply of Electricity (2020-2034), Ministry of Trade, Industry and Energy of Korea.
9 Seoul Metropolitan Government (2020). 2019 greenhouse gas emissions of energy intensive buildings in Seoul.
10 Stein, J., & Gill, B. (2016). PG&E Data Center Baseline and Measurement and Verification (M&V) Guidelines, Pacific Gas and Electric.
11 U.S. DOE (2013). Energy Conservation Program: Energy Conservation Standards for Distribution Transformers.
12 U.S. Green Building Council (2016). LEED Reference Guide for Building Design and Construction (LEED V4).
13 Cho, J., & Kim, Y. (2016). Improving energy efficiency of dedicated cooling system and its contribution towards meeting an energy-optimized data center, Applied Energy, 165, 967-982.   DOI
14 Cho, J., Park, B., & Jeong, Y. (2019). Thermal Performance Evaluation of a Data Center Cooling System under Fault Conditions, energies, 12(15), 2996.   DOI
15 Deymi-Dashtebayaz, M., Namanlo, S.V., & Arabkoohsar, A. (2019). Simultaneous use of air-side and water-side economizers with the air source heat pump in a data center for cooling and heating production, Applied Thermal Engineering, 161, 114133.   DOI
16 Diaz, A.J., Caceres, R., Torres, R., Cardemil, J.M., & Silva-Llanca, L. (2020). Effect of climate conditions on the thermodynamic performance of a data center cooling system under water-side economization, Energy and Buildings, 208, 109634.   DOI
17 ENERGY STAR (2012). ENERGY STAR Program Requirements for Uninterruptible Power Supplies(UPSs).
18 The Green Grid (2007). Data Center Power Efficiency Metrics: PUE and DCiE.
19 KDCC (2020). Korea Data Center Market 2020-2023, Korea Data Center Council.
20 Belkhir, L., & Elmeligi A. (2018). Assessing ICT global emissions footprint: Trends to 2040 & recommendations, Journal of Cleaner Production, 177, 448-463.   DOI
21 The California Energy Commission (2016). Title 24-Building Energy Efficiency Standards.
22 Cho, J., Jeong, C., & Kim, B. (2006). A Study on Equipment Power Trends and Heat Loads for the Optimal IT Environment Control in the (Internet) Data Center, Journal of the Architectural Institute of Korea, 22(9), 315-322.
23 Cho, J., Yang, J., Lee, C., & Lee, J. (2015). Development of an energy evaluation and design tool for dedicated cooling systems of data centers: Sensing data center cooling energy efficiency, Energy and Buildings, 96, 357-372.   DOI
24 Korea Energy Economics Institute and Korea Energy Agency. (2017). 2017 Energy Consumption Survey, Ministry of Trade, Industry and Energy.