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<p>The Digital Product Passport (DPP) creates new perspectives for waste management due to the obligation for manufacturers to share information like disassembling instructions or materials used in their products. In the KIRAMET project, the “Smart Waste” concept shows how AI and DPPs can work together to improve recycling of complex products. For example, recycling of metals such as steel and aluminium in end-of-life vehicles can be improved by taking into account details on alloys, or valuable components such as copper wires or circuit boards can be systematically removed from electrical appliances. This article presents findings from KIRAMET and shows how product identifiers in QR codes and digital twins can be used in practice. This highlights the opportunities for waste management—from higher quality secondary raw materials and lower material losses to new business models in a&#xa0;circular economy.</p><p>We present a&#xa0;proof-of-concept system that supports the recycling of metal-containing products such as end-of-life vehicles (ELVs) using digital technologies. It addresses key challenges in modern value creation networks with regard to material traceability, fragmented supply chain data, and automated conformity testing. The developed system integrates digital twins of recycling processes with standardized product data from existing DPP frameworks. It enables the tracking of components with their material compositions to achieve an optimized grouping of parts for the recycling downstream. The resulting digital image of secondary raw materials in turn leads to optimized recycling into the material cycle. The software architecture is based on existing industry standards and promotes interoperability and sustainability.</p>

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Digitaler Produktpass – Chancen für die Abfallwirtschaft

  • 期刊论文

  • 发表日期：

    2026年1月28日

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  • Felix Strohmeier,
  • Madhu Dasika,
  • Roman Rainer,
  • Klemens Winkler,
  • Alexia Tischberger-Aldrian

摘要

The Digital Product Passport (DPP) creates new perspectives for waste management due to the obligation for manufacturers to share information like disassembling instructions or materials used in their products. In the KIRAMET project, the “Smart Waste” concept shows how AI and DPPs can work together to improve recycling of complex products. For example, recycling of metals such as steel and aluminium in end-of-life vehicles can be improved by taking into account details on alloys, or valuable components such as copper wires or circuit boards can be systematically removed from electrical appliances. This article presents findings from KIRAMET and shows how product identifiers in QR codes and digital twins can be used in practice. This highlights the opportunities for waste management—from higher quality secondary raw materials and lower material losses to new business models in a circular economy.

We present a proof-of-concept system that supports the recycling of metal-containing products such as end-of-life vehicles (ELVs) using digital technologies. It addresses key challenges in modern value creation networks with regard to material traceability, fragmented supply chain data, and automated conformity testing. The developed system integrates digital twins of recycling processes with standardized product data from existing DPP frameworks. It enables the tracking of components with their material compositions to achieve an optimized grouping of parts for the recycling downstream. The resulting digital image of secondary raw materials in turn leads to optimized recycling into the material cycle. The software architecture is based on existing industry standards and promotes interoperability and sustainability.