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数字技术在废料处理工艺中的应用.pdf

上传人: 可*** 编号:991929 2025-12-07 14页 3.05MB

1、Decem ber 3rd,2025 Marco Om ettoExecutive Vice PresidentDANIELI AUTOMATION-DIGI&METTHE CONTRIBUTION OF DIGITAL TECHNOLOGIES IN SCRAP TREATMENT PROCESSESHOW TO REDUCE CO EMISSIONS IN THE STEEL MANUFACTURINGENGAGE.ACCELERATE.ACHIEVE.ENGAGE.ACCELERATE.ACHIEVE.INDEXEU decarbonization contextEU Cooperati

2、on landscapeScrap-to-steel processDigital enablersImpact&ConlclusionENGAGE.ACCELERATE.ACHIEVE.ENGAGE.ACCELERATE.ACHIEVE.3Steel and CO2 footprintSteel and CO2 footprint Steel industry 79%global CO emissions Blast furnace steel:2.0 t CO/t steel EAF steel:0.40.7 t CO/t steel DRI-EAF steel:1.1 t CO/t st

3、eel Secondary route(EAF)uses scrap lower emissions Increasing role of circular economy Digitalization unlocks optimization0.01.02.03.04.05.06.0BF-BOFEAFDRI-EAFCO Emissions and Energy Consumption t CO/t steelMWh/t steelThis document contains proprietary information of DANIELI&C.Officine Meccaniche S.

4、p.A.,not disclosable,not reproducible.All Rights Reserved.ENGAGE.ACCELERATE.ACHIEVE.ENGAGE.ACCELERATE.ACHIEVE.4This document contains proprietary information of DANIELI&C.Officine Meccaniche S.p.A.,not disclosable,not reproducible.All Rights Reserved.E EU climate targets and EU funding programsU cli

5、mate targets and EU funding programs EU Green Deal:climate neutrality by 2050 Fit-for-55 package 55%CO by 2030(vs.1990)ETS incentives+carbon pricing Funding:Horizon Europe,Innovation Fund Strategic relevance of circular materials Industry required to adopt cleaner&efficient technologiesENGAGE.ACCELE

6、RATE.ACHIEVE.ENGAGE.ACCELERATE.ACHIEVE.5Cooperative EU Cooperative EU project project-PcrapPcrapCo-funded by the European Union GA n.101092168Focus:digital scrap management&quality predictionConsortium:industrial,academic,tech suppliersAI-based scrap classificationData model for traceability&process

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根据标记内容,全文主要探讨了如何通过数字化技术减少钢铁制造过程中的CO₂排放。以下是关键点: 1. 钢铁行业占全球CO₂排放的7-9%,其中电弧炉(EAF)钢的CO₂排放约为0.4-0.7吨/吨钢。 2. 欧盟设定了到2050年实现气候中性的目标,并计划到2030年将CO₂排放量减少55%。 3. 数字化技术如AI分类、数据模型和智能排序有助于提高废钢质量,降低EAF能耗。 4. 通过数字化废钢管理,预计可降低EAF能源需求。 5. 数字化提高了废钢价值,通过质量预测、智能批配和数字化EAF控制,实现了能源和CO₂的减少。
"数字技术如何降低钢铁业碳排放?" "欧盟如何支持钢铁业绿色转型?" "数字化在废钢处理中的应用前景?"
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