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Description
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The Life Cycle Management Conference, held in Luxembourg from the 3rd to the 6th of September 2017, was the opportunity for LCA practitioners to sit and discuss the integration of external models in prospective LCA models. The workshop organizers feel that as a growing LCA subdiscipline, prospective LCA lacks a shared foundation in terms of methods, data, best practices, and software solutions. For practitioners, this workshop was organized as a first step to introduce their research, identify overlaps, pinpoint further needs, and discuss the near future of prospective LCA. The focus was placed on the use of energy scenarios in prospective LCA due to the important role of energy in the environmental profile of many products. For this reason, most of the examples are related to energy system models and energy scenarios. However, this approach is applicable to any sector likely to face changes in the future, such as transportation, agriculture, or mining. The first half of the workshop consisted of five short presentations of current and past attempts at integrating energy scenarios into LCAs, with a highlight of the challenges encountered and how they were overcome. The workshop’s second half was dedicated to discussions and organized as a breakout meeting to collect the concerns and expectations of the attendees. The challenges identified in the first half were confirmed, more emerged, and all are summed up in this document. This report is organized into the following sections. First, a brief overview of the five introductory presentations is provided. Second, the key challenges of the integration of external models and prospective LCA that emerged from the presentations and the discussions are listed and framed within the latest literature. Thereafter, various potential solutions and research avenues identified during the discussion are detailed and further elaborated. Finally, the concluding section contains a brief discussion and last remarks. (2018-04-01)
***This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. Please refer to https://doi.org/10.1007/s11367-017-1435-3 for the original and latest version of the dataset and data downloads*** (2026-06-10)
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