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利用数据和人工智能打造更强、更快、更环保的混凝土.pdf

上传人: 明**** 编号:1011319 2025-12-21 19页 8.58MB

1、Priya Chhiba,GoogleProfessor Nishant Garg,UIUCJulius Kusuma,MetaJohn Kim,AWSBen Stanley,MicrosoftWiss,Janney,Elstner Associates,Inc.Data and AI for Stronger Faster Greener ConcreteData and AI for Stronger Faster Greener ConcreteSpeakers:Priya Chhiba,GoogleJohn Kim,AWSProfessor Nishant Garg,UIUC(Univ

2、ersity of Illinois)DATA CENTER(DC)SUSTAINABILITYWhy are we focusing on decarbonizing Concrete?Source:https:/liftoff.energy.gov/industrial-decarbonization/low-carbon-cement/Cement contributes 7-8%of Global CO2 EmissionsCement makes up 10%of concrete but contributes 85%to embodied carbon emissions of

3、concreteA significant portion of data center embodied emissions results from concreteConcrete design can be done“on site”Reducing Embodied Cement EmissionsReduced Data Center Embodied EmissionsCEMENTWATERSCMsSANDGRAVELAD-MIXTURESBUT.we want low-carbon concrete to also be strong,fast,economical,scala

4、ble+Novel MaterialsWhat is green concrete?Cement(Expensive+CO2 intensive)Fine AggregateCoarse AggregateWaterAdmixturesSCMsSilica FumeSlagFly AshNew SCMsCalcined ClaysConcreteIndustrial ResiduesSilicon IndustrySteel Industry Coal Industry 20%30%40%All Ingredients are Complex Assemblages of Minerals T

5、hus,we need to do Learning and Optimization simultaneously.Reclaimed AshesNatural PozzolansHyperscalers JourneyBenchmarkingAWS,Google,Meta,and Microsoft jointly published a white paper highlighting our openness to work together to accelerate decarbonization of concreteGreen Concrete for Digital Infr

6、astructure Open LetterGoal2023Streamlining DesignsNovel MaterialTesting/DeriskingHyperscalers have completed proof of concept to advance Green Concrete for Data Centers!We established new metrics,tried new materials,tested the feasibility and performance of low-carbon mixesMix#1 Control:Mix typicall

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根据报告的内容,全文主要内容概括如下: - **混凝土减碳重要性**:水泥占全球CO2排放的7-8%,而混凝土的85%碳排放来自水泥。 - **绿色混凝土挑战**:新型材料难以采用,现有材料被认为速度慢、强度弱、成本高。 - **绿色混凝土进展**:通过使用新型材料如矿渣水泥和ASTM C1157水泥,可减少61%的碳足迹。 - **AI在绿色混凝土中的应用**:AI可预测强度曲线和CO2排放,优化混凝土配比。 - **未来方向**:通过AI和合作,开发碳封存材料,实现到2030年混凝土减碳70-100%的目标。 - **合作与数据共享**:通过开放协作平台(OCP)共享数据、工具和学习模块,加速绿色混凝土的采用。
AI加速减排之路?" 打造更强更快更环保的混凝土?" 数据中心如何拥抱低碳混凝土?"
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