Energy Efficiency Measurement Method and Thermal Environment in Data Centers—A Literature Review

高效能源利用 环境科学 计算机科学 工程类 电气工程
作者
Zaki Ghifari Muhamad Setyo,Hom Bahadur Rijal,Naja Aqilah,Norhayati Abdullah
出处
期刊:Energies [Multidisciplinary Digital Publishing Institute]
卷期号:18 (14): 3689-3689 被引量:2
标识
DOI:10.3390/en18143689
摘要

The increase in data center facilities has led to higher energy consumption and a larger carbon footprint, prompting improvements in thermal environments for energy efficiency and server lifespan. Existing literature studies often overlook categorizing equipment for power usage effectiveness (PUE), addressing power efficiency measurement limitations and employee thermal comfort. These issues are addressed through an investigation of the PUE metric, a comparative analysis of various data center types and their respective cooling conditions, an evaluation of PUE in relation to established thermal standards and an assessment of employee thermal comfort based on defined criteria. Thirty-nine papers and ten websites were reviewed. The results indicated an average information technology (IT) power usage of 44.8% and a PUE of 2.23, which reflects average efficiency, while passive cooling was found to be more applicable to larger-scale data centers, such as Hyperscale or Colocation facilities. Additionally, indoor air temperatures averaged 16.5 °C with 19% relative humidity, remaining within the allowable range defined by ASHRAE standards, although employee thermal comfort remains an underexplored area in existing data center research. These findings highlight the necessity for clearer standards on power metrics, comprehensive thermal guidelines and the exploration of alternative methods for power metrics and cooling solutions.
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