利用微软开源云生命周期评估工具助力可持续数据中心设计.pdf

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1、Husam Alissa,MicrosoftTeresa Nick,MicrosoftJulie Sinistore,WSPMukunth Natarajan,WSPEmpowering Sustainable Data Center Design with Microsofts Open Source Cloud LCA ToolEmpowering Sustainable Data Center Design with Microsofts Open Source Cloud LCA ToolHusam Alissa,MicrosoftTeresa Nick,MicrosoftJulie

2、Sinistore,WSPMukunth Natarajan,WSPSUSTAINABILITYBackgroundData Center and Cooling Types OverviewLife Cycle Assessment(LCA)MethodologyScenario Analyses and ResultsVarying ClimatesOverclockingIncreased IT Capacity UtilizationConclusions Call To ActionAgendaBackground*Data used in this paper is not ref

3、lective of current Microsoft data center designsData Center(DC)and Cooling Types OverviewDemonstrating use of LCA tool to understand impact of advanced cooling technologies in data centers-focus on air and cold plate cooled data centersPUEs used in this demo are based on the following heat rejection

4、 technology assumptions from Lei et al,2022Air-cooled data center:Airside economizer with adiabatic cooling Cold plate cooled data center:External fluid coolers and air side economizer with adiabatic coolingAir cooled DC*Cold plate cooled DC*Adapted from Nadjahi,C.,Louahlia,H.and Lemasson,S.(2018)A

5、review of thermal management and innovative cooling strategies for Data Center,Sustainable Computing:Informatics and Systems,19,pp.1428.doi:10.1016/j.suscom.2018.05.002.*Adapted from Alissa,H.,Nick,T.,Raniwala,A.et al.Using life cycle assessment to drive innovation for sustainable cool clouds.Nature

6、 641,331338(2025).https:/doi.org/10.1038/s41586-025-08832-3.Lei,N.and Masanet,E.(2022b)Climate-and technology-specific PUE and WUE estimations for U.S.data centers using a hybrid statistical and thermodynamics-based approach,Resources,Conservation and Recycling,182,p.106323.doi:10.1016/j.resconrec.2