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Implementation of uncertainty analysis and moment‐independent global sensitivity analysis for full‐scale life cycle assessment models

Stefano Cucurachi, Carlos Felipe Blanco, Bernhard Steubing, Reinout Heijungs

2021Journal of Industrial Ecology72 citationsDOIOpen Access PDF

Abstract

Abstract 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.

Topics & Concepts

Computer scienceLife-cycle assessmentSensitivity (control systems)SoftwareUncertainty analysisMoment (physics)Industrial ecologyScale (ratio)Industrial engineeringReliability engineeringRisk analysis (engineering)Operations researchSimulationProduction (economics)SustainabilityEngineeringEconomicsBusinessProgramming languageMacroeconomicsQuantum mechanicsClassical mechanicsBiologyEcologyElectronic engineeringPhysicsEnvironmental Impact and SustainabilityProbabilistic and Robust Engineering DesignSustainable Supply Chain Management
Implementation of uncertainty analysis and moment‐independent global sensitivity analysis for full‐scale life cycle assessment models | Litcius