Using dynamic life cycle assessment to evaluate the effects of industry digitalization: A steel case study.
Decarbonization of steelmaking has stagnated while it has a considerable share of global greenhouse gas emissions and a growing demand. Digitalization is seen as a viable option to reduce emissions and costs of the sector in the near term and life cycle assessment (LCA) as a comprehensive framework...
| Publicado en: | Journal of Industrial Ecology Vol. 28; no. 4; pp. 942 - 953 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Springer Nature
Aug2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=178972918&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 178972918 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10881980 FL1 jtl: Journal of Industrial Ecology issn: 10881980 maglogo: Y pubinfo: dt: Aug2024 vid: 28 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 178972918 10.1111/jiec.13510 ppf: 942 ppct: 11 formats: tig: atl: Using dynamic life cycle assessment to evaluate the effects of industry digitalization: A steel case study. aug: au: Astudillo, Miguel F. Krämer, Kai Arteaga, Asier affil: 2.‐0 LCA Consultants, Barcelona, Spain Deutsches Forschungszentrum für Künstliche Intelligenz, Saarbrücken, Germany I+D, Sidenor, Basauri, Spain su: Industrial ecology Global warming Greenhouse gases Optimization algorithms Product life cycle assessment sug: subj: Industrial ecology Global warming Greenhouse gases Optimization algorithms Product life cycle assessment keyword: CPS digitalization industrial ecology industry 4.0 LCA steel CPS digitalization industrial ecology industry 4.0 LCA steel ab: Decarbonization of steelmaking has stagnated while it has a considerable share of global greenhouse gas emissions and a growing demand. Digitalization is seen as a viable option to reduce emissions and costs of the sector in the near term and life cycle assessment (LCA) as a comprehensive framework to evaluate changes in production practices. In this study, we analyze the potential impact of using optimization algorithms to improve the operation of a steelmaking plant in Spain. Specifically, we study the potential effects of optimizing the sequence in which steel is produced to minimize losses during casting. The global warming (GW) impacts and economic costs are quantified using a dynamic LCA model, considering uncertainty and temporal variability using an open‐source LCA framework. The results indicate, on average, modest savings in costs and are inconclusive regarding GW emissions. Most of the cost savings come from a reduction in the use of additives and electricity, which are wasted when the steel is scrapped during casting. The methodological framework has proven useful in quantifying and interpreting the potential effects of digitalization. The implemented solution, tested in an industrial setting, allows an automated evaluation of production at the plant using the LCA model, facilitating the use of sustainability criteria in decision‐making. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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