Implementation of uncertainty analysis and moment-independent global sensitivity analysis for full-scale life cycle assessment models
Implementation of uncertainty analysis and moment-independent global sensitivity analysis for full-scale life cycle assessment models
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DOI：
10.1111/jiec.13194
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发表时间：
2021-09-12
影响因子：
5.9
通讯作者：
Heijungs, Reinout
中科院分区：
文献类型：
--
作者：
Cucurachi, Stefano;Blanco, Carlos Felipe;Heijungs, Reinout
生命周期评估（LCA）模型和数据库在规模、分辨率和复杂性方面都有所增加，这就要求分析人员依赖数量不断增加的不确定模型输入。这种增加的复杂性要求系统的方法来评估LCA模型的输出结果的不确定性和LCA模型的不确定输入的输出的敏感性。在这方面的贡献，我们提供了一个理论基础，并提出了一个实用的软件实现，结合不确定性分析和时刻独立的全局灵敏度分析，可以很容易地应用到全尺寸LCA模型。我们在Activity-Browser开源LCA软件中实现了我们的方法，并可用于LCA研究。我们演示的方法和软件实现的晶体硅光电子学的案例研究。
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.