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It is a significant challenge to address the complex issue of comparing multiple products with the same function but distinct characteristics in the circular economy framework and its implications for Life Cycle Assessment (LCA) in the footwear sector. Our strategy involved developing a specific methodology for determining the durability characteristic of physical products, which was accomplished by combining the results of various physical tests. In particular, a set of urban soles was examined for the case study. The environmental footprints of the footwear were then normalised using this durability metric, aligning them with the number of units required to reach practical quality levels. Using this method, we achieved substantial changes in the results of the LCA analysis, particularly in the context of products whose design prioritised particular qualities like durability. As a result, this research emphasises the necessity of redefining the functional unit, particularly from the circular economy perspective, and illustrates how it may positively impact company eco-design policies. [ABSTRACT FROM AUTHOR]

Life Cycle Assessment (LCA) is nowadays one of the most applied methodologies for evaluating the potential environmental impacts of products and systems related to the plastic packaging sector. Nevertheless, the recent increasing interest on Circular Economy principles introduces challenges in its application, addressing towards adjustments to system boundaries and functional units. This research paper underscores the need for LCA models that are both dynamic, adaptable and capable of capturing both (i) the environmental performances of end-of-life processes and (ii) the quality of the materials obtained from them. To this aim, the main literature is taken as reference to compare chemical and mechanical recycling applied to PET. From the outcomes, the need of considering potential quality degradation resulting from increased recycling and reuse operations applied to the input material is well recognized. The study highlights the potential role of LCA to provide comprehensive information, thereby facilitating comparative assertions and offering valuable insights for informed decision-making and the development of sustainable policies within the plastic packaging industry. [ABSTRACT FROM AUTHOR]

SDGs are playing an increasing role in defining sustainability paths for energy-intensive sectors. In particular, the steel sector is promoting several parallel initiatives as a key player sector in the European process industry. This work describes the major focal trends related to the sustainability of steel and presents the principal EU approaches and initiatives linked with the ESTEP action area. The core sustainability issues related to SDGs in the EU steel sector are presented with a particular focus on the quantification approaches. Then, the paper presents different areas for SDG implementation by single organizations in the EU context. Such areas provide an operational path for managing and implementing SDGs. In particular, the key areas include: (1) roadmapping initiatives with a focus on specific sustainability targets; (2) eco-labelling trends with reference to usage per label typology; (3) reporting initiatives by single organizations with a focus on specific SDGs; and (4) representative EU steel R&D projects related to selected sustainability targets. The discussion part focuses on a critical review of all presented areas to summarise the main paths in adopting SDGs targeted at the EU steel sector level. As the final outcome, prime emerging barriers are suggested as well as critical issues in implementing SDG-based sustainability targets. [ABSTRACT FROM AUTHOR]

Life Cycle Assessment (LCA) computes potential environmental impacts of a product or process. However, LCAs in the industrial sector are generally delivered through static yearly analyses which cannot capture any temporal dynamics of inventory data. Moreover, LCA must deal with differences across background models, Life Cycle Impact Assessment (LCIA) methods and specific rules of environmental labels, together with their developments over time and the difficulty of the non-expert organization staff to effectively interpret LCA results. A case study which discusses how to manage these barriers and their relevance is currently lacking. Here, we fill this gap by proposing a general methodology to develop a modular tool which integrates spreadsheets, LCA software, coding and visualization modules that can be independently modified while leaving the architecture unchanged. We test the tool within the ORI Martin secondary steelmaking plant, finding that it can manage (i) a high amount of primary foreground data to build a dynamic LCA; (ii) different background models, LCIA methods and environmental labels rules; (iii) interactive visualizations. Then, we outline the relevance of these capabilities since (i) temporal dynamics of foreground inventory data affect monthly LCA results, which may vary by ±14% around the yearly value; (ii) background datasets, LCIA methods and environmental label rules may alter LCA results by 20%; (iii) more than 105 LCA values can be clearly visualized through dynamically updated dashboards. Our work paves the way towards near-real-time LCA monitoring of single product batches, while contextualizing the company sustainability targets within global environmental trends. [ABSTRACT FROM AUTHOR]