Digital Twin-based Life Cycle Assessment

被引：0

作者：

Elsner J. ^{[1
]}

Gabriel A. ^{[2
]}

Ackermann T. ^{[3
]}

Körkemeyer J. ^{[4
]}

Schmitt R.H. ^{[4
]}

机构：

[1] WZL der RWTH Aachen University, Lehrstuhl für Fertigungsmesstechnik und Qualitätsmanagement and Informationsmanagement im Maschinenbau, Campus-Boulevard 30, Aachen

[2] Fraunhofer IPT, Aachen

[3] Fraunhofer FFB, Münster

来源：

ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb | 2023年 / 118卷 / 12期

关键词：

Digital Twin; Dynamic Assessment; Flexible Production Systems; Life Cycle Assessment; Remanufacturing; Traceability;

D O I：

10.1515/zwf-2023-1167

中图分类号：

学科分类号：

摘要：

Integration of the Digital Twin for dynamical Life Cycle Assessments in variant-rich remanufacturing of batteries. To quantify environmental impact of more resource-efficient concepts, such as remanufacturing, Life Cycle Assessments (LCA) are used. A use case of battery remanufacturing shows the need of primary data driven LCA using production data instead of general databases. Within the solution concept, traceability systems assign data on a product-specific basis. The digital twin links these along the life cycle and supports decisions on the products’ second lives. © 2023 Walter de Gruyter GmbH, Berlin/Boston, Germany.

引用

页码：883 / 887

页数：4

共 25 条

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