Toward a More Effective and Comprehensive Assessment of Data Center Environmental Impact

IF 3.9 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Dina Nassar;Rabih Bashroush
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引用次数: 0

Abstract

The escalating demand for data and computational power has led to the rapid expansion of data centres, significantly increasing their environmental footprint. Data centres now account for an estimated 2% to 4% of global electricity consumption. Although various best practices and key performance indicators (KPIs) have been developed to mitigate this impact, creating a comprehensive framework for evaluating the environmental sustainability of data centres remains challenging. Existing certification schemes, such as Leadership in Energy and Environmental Design (LEED) and the Building Research Establishment Environmental Assessment Method (BREEAM), were originally designed for traditional building infrastructure and are increasingly applied to data centres. However, these frameworks primarily focus on building-related aspects, inadequately addressing the unique mechanical, electrical, and IT dimensions critical to data centres. This study introduces a comprehensive evaluation model applied to the LEED framework, identifying significant gaps and proposing enhancements. The findings highlight notable discrepancies and limitations within the current LEED version, emphasising the need for tailored approaches that accurately reflect the distinct characteristics and operational demands of data centres.
迈向更有效和全面的数据中心环境影响评估
对数据和计算能力不断增长的需求导致数据中心的快速扩张,大大增加了它们的环境足迹。数据中心目前约占全球用电量的2%至4%。尽管已经制定了各种最佳做法和关键绩效指标(kpi)来减轻这种影响,但创建一个评估数据中心环境可持续性的综合框架仍然具有挑战性。现有的认证计划,如能源与环境设计领导(LEED)和建筑研究机构环境评估方法(BREEAM),最初是为传统建筑基础设施设计的,现在越来越多地应用于数据中心。然而,这些框架主要关注与建筑相关的方面,没有充分解决对数据中心至关重要的独特机械、电气和IT方面的问题。本研究介绍了一个应用于LEED框架的综合评估模型,确定了重大差距并提出了改进建议。研究结果强调了当前LEED版本中显著的差异和局限性,强调需要量身定制的方法来准确反映数据中心的独特特征和运营需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Sustainable Computing
IEEE Transactions on Sustainable Computing Mathematics-Control and Optimization
CiteScore
7.70
自引率
2.60%
发文量
54
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