Analyzing Temporal Variability in Inventory Data for Life Cycle Assessment: Implications in the Context of Circular Economy

摘要: Life cycle assessment (LCA) is used frequently as a decision support tool for evaluating different design choices products based on their environmental impacts. A life usually comprises several phases of varying timespans. The amount emissions generated from product could be significantly one another. In conventional LCA, the are aggregated at inventory analysis stage, which then an input impact assessment. However, when aggregated, temporal variability data ignored, may result in inaccurate Besides, LCA does not consider circular with multiple use cycles. It poses difficulties identifying hotspots emission-intensive activities potential to mislead conclusions and implications both practice policy. To address this issue analyze embedded variations CE context, paper proposes calculating emission intensity each phase. argued that comparing intensity, timespan individual phases, stage offers complementary approach traditional aggregate emission-based approach. scenario, it helps identify significant issues during relevant performance improvement opportunities through product, business model, supply chain design.