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Breakdown of the sampled variance of the lumped background parameters BEI z NaBF 4 in all three end-point impact categories in terms of Sobol indices, under combined foreground/background uncertainty.

Journal: ACS Sustainable Chemistry & Engineering

Article Title: Global Sensitivity Analysis in Life-Cycle Assessment of Early-Stage Technology using Detailed Process Simulation: Application to Dialkylimidazolium Ionic Liquid Production

doi: 10.1021/acssuschemeng.3c00547

Figure Lengend Snippet: Breakdown of the sampled variance of the lumped background parameters BEI z NaBF 4 in all three end-point impact categories in terms of Sobol indices, under combined foreground/background uncertainty.

Article Snippet: Sample generation for all these uncertain parameters is coordinated from Matlab using quasi Monte Carlo sampling based on low-discrepancy Sobol sequences and interfaced with Aspen-HYSYS for simulating the process flowsheets in each uncertainty scenario.

Techniques:

Breakdown of the sampled variance of each end-point impact EI z in terms of their first- and second-order Sobol indices for [BMIM][BF 4 ] (top) and [BMIM][PF 6 ] (bottom).

Journal: ACS Sustainable Chemistry & Engineering

Article Title: Global Sensitivity Analysis in Life-Cycle Assessment of Early-Stage Technology using Detailed Process Simulation: Application to Dialkylimidazolium Ionic Liquid Production

doi: 10.1021/acssuschemeng.3c00547

Figure Lengend Snippet: Breakdown of the sampled variance of each end-point impact EI z in terms of their first- and second-order Sobol indices for [BMIM][BF 4 ] (top) and [BMIM][PF 6 ] (bottom).

Article Snippet: Sample generation for all these uncertain parameters is coordinated from Matlab using quasi Monte Carlo sampling based on low-discrepancy Sobol sequences and interfaced with Aspen-HYSYS for simulating the process flowsheets in each uncertainty scenario.

Techniques: