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利用数字基础设施优化制造业绩效.pdf

上传人: 明**** 编号:1011765 2025-12-21 13页 770.16KB

1、Malcolm Hegeman-GoogleBrandon Weilbacher-FlexLeveraging Digital Infrastructure in Manufacturing for Performance OptimizationLeveraging Digital Infrastructure in Manufacturing for Performance OptimizationMalcolm Hegeman-Google,Net Zero Carbon FootprintingBrandon Weilbacher-FlexSUSTAINABILITYTackle wh

2、at matters most in manufacturingElectricity tends to be greatest contributor to gate-to-gate emissionsAcross all manufacturers,annual electricity usage likely in the tens of terawatt-hours(TWh)globallyElectricity consumption has tremendous environmental and financial impactElectricity consumption:Ro

3、ot cause of manufacturing emissionsChallenges in quantifying demandLife cycle assessment(LCA)data collection and modeling can be time-consuming and costlyLCA background data lags behind current industry practices,and requires process-level activity dataMeasuring highly granular activity data is comp

4、lex(temporally,geospatially,technologically)Bottoms-up tracking of electricity consumption is crucial to inform clean energy initiativesUntapped potential of manufacturing dataOpportunity to leverage activity data to drive climate actionSustainabilityWithout real-time data on industrial activity,we

5、cant pinpoint which manufacturing processes contribute the most to environmental burden.Manufacturing operationsWithout advanced analytics,factories are missing the opportunities to significantly improve operational efficiencies.Need:Measured,primary dataTo capture environmental burden related to in

6、dustrial processes,we need to have the following capabilities:Real-time data measurement from industrial manufacturing processesData integration of disparate sources within a manufacturing environmentData contextualization Manufacturing life cycle inventory data standardizationDeployment of digital

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根据报告的内容,全文主要内容概括如下: - **核心挑战**:制造业中,电力消耗是最大的排放贡献者,全球年电力使用量可能在数十太瓦时(TWh),对环境和财务有重大影响。 - **数据重要性**:实时数据对确定哪些制造过程对环境负担贡献最大至关重要。 - **解决方案**:Flex和Google合作,在制造生产线部署数字基础设施,包括: - 分布式传感器网络,测量实时电力消耗。 - 数据集成系统,生成符合ILCD标准的生命周期清单(LCI)。 - 提供能源洞察,优化生产线以减少电力消耗。 - **关键数据**: - 全球年电力使用量可能在数十太瓦时(TWh)。 - 通过直接测量,可以精确确定能源消耗的位置和方式。
数字基础设施如何助力减排?" 如何驱动气候行动?" 制造能源效率提升秘诀!"
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