Life cycle assessment (LCA) models and databases have increased in size, resolution, and complexity, requiring analysts to rely on an ever-increasing number of uncertain model inputs. Such increased complexity calls for systematic approaches to assessing the uncertainty of the output results of LCA models and the sensitivity of LCA model outputs to the model's uncertain inputs. In this contribution, we provide a theoretical basis and present a practical software implementation that combines uncertainty analysis and moment-independent global sensitivity analysis, which can be readily applied to full-scale LCA models. We implemented our approach in the Activity-Browser open source LCA software and it is made available for use in LCA studies. We demonstrate the approach and software implementation with a case study of crystalline silicon photovoltaics.

中文翻译：

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对全尺寸生命周期评估模型实施不确定性分析和与矩无关的全局敏感性分析

生命周期评估 (LCA) 模型和数据库的大小、分辨率和复杂性都在增加，要求分析师依赖越来越多的不确定模型输入。这种增加的复杂性需要系统的方法来评估 LCA 模型输出结果的不确定性以及 LCA 模型输出对模型不确定输入的敏感性。在这篇文章中，我们提供了一个理论基础并提出了一个实用的软件实现，它结合了不确定性分析和与矩无关的全局灵敏度分析，可以很容易地应用于全尺寸 LCA 模型。我们在 Activity-Browser 开源 LCA 软件中实施了我们的方法，它可用于 LCA 研究。