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分解IT硬件组件排放以大规模实现可持续决策.pdf

上传人: 明**** 编号:1011318 2025-12-21 15页 2.22MB

1、Component Level Breaking-down of IT Hardware EmissionsLisa Rivalin&Emre TepedelenliogluLisa Rivalin&Emre TepedelenliogluDATA CENTER(DC)SUSTAINABILITYComponent Level Breaking-down of IT Hardware EmissionsScale of EmissionsMeasurement-Foundation for Effective Reduction1.Emission estimates for each com

2、ponent2.Fleet level aggregate emission insights3.Identify hot spots.4.Estimate CO2e at each stage of product development lifecycle.MeasureReduce1.Component reuse,lifetime extension,and low carbon alternatives.2.Move suppliers to low emissions manufacturing optimize supply chain to reduce emissions3.

3、Low carbon HW design using sustainable design practicesUnderstanding our emissionsDC:Building DCsIT HW (i.e.Racks)in DCs Network:Connecting DCsSCOPE 1:Covers direct emissionsthat come from sources that are owned and/or controlled by Meta.(e.g.diesel generators,shuttles)SCOPE 2:Covers indirect emissi

4、onsfrom the purchased or acquired energy consumed by Meta.Addressed by matching 100%of our electricity use with renewable energy.SCOPE 3:Includes all other indirectemissions that occur in Metas value chain/supply chain operations and end-product usage by customers.99%of IT HW related emissionsMeasur

5、ing emissions is complexComplexity of IT hardware systems and emissions sourcesLack of ground truth dataDifficulty in obtaining detailed emissions data for each componentChallenges in data collection and integration across diverse hardwareLarge scale inventory:getting accurate data for millions of p

6、arts and down to the individual component in a streamlined way is a challengeSolutionsHow do we estimate components emissions?Grand Canyon Storage System ConfigurationEEIOModels-Analytics Physics-basedLCAData quality 1)Assign each fbpn with emission inputs2)Recursive algorithm up to the rack to aggr

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根据报告的内容,全文主要内容概括如下: 1. **数据中心IT硬件排放分解**:文章探讨了数据中心IT硬件的排放问题,包括数据中心(DC)、网络连接和直接/间接排放(Scope 1, 2, 3)。 2. **排放测量挑战**:测量IT硬件排放复杂,涉及硬件系统复杂性、数据缺乏、数据收集困难等。 3. **解决方案**:使用EEIO模型、物理LCA和数据分析来估计组件排放,并解决数据异质性和分类标准问题。 4. **关键数据**:99%的IT硬件相关排放。 5. **措施**:通过组件重用、生命周期延长、低碳替代品、优化供应链和低碳硬件设计来减少排放。 6. **未来计划**:开源模型,创建标准“miniBOM”,分享高质量数据,并计划在2025年秋季开源方法论。 关键点: - 99%的IT硬件相关排放。 - 使用EEIO模型和物理LCA进行排放估计。 - 通过开源模型和标准“miniBOM”提高数据质量。 - 计划在2025年秋季开源方法论。
"揭秘数据中心碳足迹" "IT硬件减排新策略" "打造绿色数据中心,你准备好了吗?"
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