Meilenstein 3.1.1 - Leitfaden zur Datengewinnung
Im Rahmen von DACE haben wir einen Leitfaden zur Datengewinnung in der Kreislaufwirtschaft erarbeitet. Das Whitepaper behandelt alle Themen, die für eine erfolgreiche Datengewinnung notwendig sind, und dient als einführende Literatur.
Download: Leitfaden zur Dategewinnung
Meilenstein 3.1.2 - Teil 1: Theorie & Intro
Dieses Dokument fasst die theoretischen Grundlagen für den Einsatz eines Datenraums zusammen.
Download: M3.1.2 - Teil 1 Theorie & Intro - Englische Fassung
Meilenstein 3.2 - Bewertungsrahmen
Das Meilensteindokument 3.2 entwickelt einen wissenschaftlich fundierten und praxisnahen Bewertungsrahmen, mit dem die Zirkularität von Produkten, Unternehmen und ganzen Wirtschaftssystemen systematisch und vergleichbar erfasst werden kann. Es kombiniert theoretische Prinzipien der Kreislaufwirtschaft mit konkreten Methoden und Indikatoren und wendet diese auf drei Ebenen an (Produkt, Unternehmen, Gesamtwirtschaft), einschließlich Fallstudien und der Verknüpfung mit politischen Rahmenbedingungen. Der zentrale Mehrwert liegt in einem integrierten, anwendbaren Indikatorensystem samt Umsetzungsplan, das ökologische, ökonomische und soziale Aspekte berücksichtigt und Akteuren aus Wirtschaft, Politik und Forschung als Entscheidungs- und Steuerungsinstrument dient.
Download: M3.2 - Bewertungsrahmen
This spreadsheet contains the complete list of circularity indicators and their assignment to EDA (ecodesign approaches), including each indicator’s source, DOI identification, description, and calculation formula. It also includes ISO circularity indicators. The spreadsheet enables comparison between the current status of product design and potential circularity improvement scenarios.
This study investigates which key performance indicators (KPIs) are used by companies to measure and manage circular economy (CE), and to what extent these KPIs align with the requirements of mandatory and voluntary external reporting frameworks. The research combines a theoretical review with an online survey and interviews conducted with German companies. The findings indicate that many companies are still in the early stages of their transition to CE, with a primary focus on lower-level circular strategies such as recycling. Furthermore, external reporting demands substantial effort and resources, often without directly supporting the internal management of CE.
Reference List of Meso-Level Circular Economy Indicators
The objetive of this study is to provide a list of relevant indicators for measuring the performance of Eco-Industrial Parks (meso-level) across their constituint parts, considering different production stages, from by-product sharing to services sharing
The Scopus and Google Scholar databases were used for the literature review on performance measurement in Eco-Industrial Parks. Although the literature review was not exhaustive, approximately 50 scientific articles on the topic were consulted to arrive at a smaller list of key references. Subsequently, a generic representation of the production model of Eco-Industrial Parks was constructed, including its crucial processing stages and important indicators, based on the authors’ interpretation and perspective.
Reference List of Micro-Level Circular Economy Indicators
The objective of this study is to provide a list of relevant indicators for measuring the performance of companies in circular economy across their entire value chain, considering different production stages, from upstream to downstream.
The steps for developing this spreadsheet began with a bibliographical review aimed at selecting key references, i.e., those widely cited by authors and companies to date. Next, these references were analyzed, and their indicators were noted in the spreadsheet in the form of specific metrics, with each indicator potentially having multiple metrics. Each metric was then linked to the corresponding stage of the company's value chain. Finally, the circular economy strategy associated with each indicator was also documented, using as references the strategies proposed by Potting et al. (2017), or 9Rs strategies.
Collaboration with IDTA - End-of-Life AAS submodel
The collaboration with IDTA enabled DACE to operationalize the results from research.
Within the DACE project, we are collaborating with the Industrial Digital Twin Association (IDTA) to advance the standardized digital representation of Circular Economy data using the Asset Administration Shell (AAS). Data also play an important role in the Circular Economy, and without identifying the required data and representing them appropriately, it is not possible to implement Circular Economy principles through R-strategies. Therefore, we need to first identify and collect the required data and represent them in a standardized and structured format so that they can be interoperable and reusable.
Accordingly, in our work, we identified relevant CE data points at the nano level, including detailed product, component, material, supply-chain, and documentation information, and collected and categorized them. We then used the AAS to represent these CE data points. Where an existing IDTA submodel already covered an identified data point, we mapped the data point to that submodel. Where no suitable property was available in the existing IDTA submodels, we proposed that the identified requirements be incorporated into the development of new submodels, which is currently ongoing.
The results of this work have been documented in our accepted and forthcoming paper, Digital Representation of Circular Economy Data Points at the Nano Level Using Asset Administration Shell, while the identified data points are openly maintained in the Datapoints for Circular Economy GitHub repository. Through this collaboration, DACE aims to contribute Circular Economy requirements and practical data-point mappings to the continued development of IDTA submodel templates, helping future AAS implementations support circular strategies such as repair, reuse, remanufacturing, and recycling.
Link to Submodel: TBA
