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Component-level circularity: A new approach to resource recovery and climate action
Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management. Husqvarna AB, Sweden.ORCID iD: 0000-0002-8313-3145
Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.ORCID iD: 0000-0003-2983-5936
Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.ORCID iD: 0000-0001-7867-3895
Husqvarna AB, Sweden.
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2024 (English)Conference paper, Poster (with or without abstract) (Refereed)
Sustainable development
00. Sustainable Development, 9. Industry, innovation and infrastructure, 12. Responsible consumption and production, 13. Climate action
Abstract [en]

Background

Considering resource limitations and greenhouse gas emissions (GHG), the assessment of product health at the component level presents an opportunity to better strategize end-of-life (EoL) options by adopting circular thinking. The assessment of remaining useful life at the individual component level during the EoL stage facilitates the reuse of healthy components and recycling. Additionally, realizes the resource recovery objective of the circular economy (CE) while moving up in the waste hierarchy.

Purpose

To develop a diagnostic tool to realize the potential of reuse and recycling at the component level at EoL stage, designed for complex tasks. 

Approach (see poster full text)

Outcomes

Through reusing the healthy components directly, the possible reduction involves:  

  • Additional GHG emission of recycling stage (transportation, melting, forging etc.).
  • Additional resources utilization i.e. electricity, water etc.

Through recycling the unhealthy components, the possible reduction involves:  

  • Additional GHG emission of component production through virgin material (transportation, raw material purification, melting, forging etc.).
  • Use of landfills

It increases resource efficiency, GHG mitigation potential, reduces landfills and contributes to UN’s Climate Action goal (SDG 13).

Future work

Development of an artificial intelligence (AI) aided individual component health assessment tool to assist industry-level operation economically.  

Cradle to cradle assessment to calculate the resource recovery, GHG mitigation, and financial benefits attractive to industries, specifically high complexity products. 

Place, publisher, year, edition, pages
2024.
National Category
Environmental Management
Identifiers
URN: urn:nbn:se:hj:diva-66243OAI: oai:DiVA.org:hj-66243DiVA, id: diva2:1899289
Conference
12th Annual International Conference on Sustainable Development (ICSD), "Solutions for the future!", September 19-21, 2024, New York, United States
Funder
EU, Horizon Europe, 101073508
Note

Hybrid conference.

Available from: 2024-09-19 Created: 2024-09-19 Last updated: 2026-04-23Bibliographically approved

Open Access in DiVA

Conference Poster(504 kB)207 downloads
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5e33d764ad0d1f40c6ad3936b9c8dbb34857b35082825f1318d9808231b09800b109f9a82db952ed5260633dc18fa87c3f82b3b7399e3fd85fd91a37161773d2
Type fulltextMimetype application/pdf

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Ahmed, WaqasSiva, VanajahBäckstrand, Jenny

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