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Data-driven life cycle assessment for mechatronic systems: a comparative analysis of environmental impact assessments

Published online by Cambridge University Press:  16 May 2024

Artur Krause ,
Steffen Wagenmann ,
Katharina Ritzer ,
Albert Albers  and
Nikola Bursac
Artur Krause*
Affiliation:
Hamburg University of Technology, Germany
Steffen Wagenmann
Affiliation:
Karlsruhe Institute of Technology, Germany
Katharina Ritzer
Affiliation:
Hamburg University of Technology, Germany
Albert Albers
Affiliation:
Karlsruhe Institute of Technology, Germany
Nikola Bursac
Affiliation:
Hamburg University of Technology, Germany
*
artur.krause@tuhh.de

Abstract

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The growing emphasis on sustainability integrates eco-design and life cycle analysis into product development. Despite the value of LCAs, data limitations lead to assumptions, impacting accuracy. This study compares an estimation-based LCA with a data-driven approach, focusing on a laser machine's operational phase. The significant influence of resource consumption during operation underscores the necessity of optimization. Applying a data-driven approach reveals a 24% difference compared to the estimation-based method, emphasizing the challenges in obtaining accurate data for effective LCAs.

Keywords

sustainabilitydata-driven designlife cycle assessment (LCA)

Information

Type
Design for Sustainability
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 1339 - 1348
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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