000163956 001__ 163956
000163956 005__ 20251113160752.0
000163956 0247_ $$2doi$$a10.1021/acssusresmgt.5c00298
000163956 0248_ $$2sideral$$a146112
000163956 037__ $$aART-2025-146112
000163956 041__ $$aeng
000163956 100__ $$aSantos, Humberto
000163956 245__ $$aUncertainty Propagation and Input Sensitivity in Life Cycle Assessment: An Application to Phase Change Materials
000163956 260__ $$c2025
000163956 5060_ $$aAccess copy available to the general public$$fUnrestricted
000163956 5203_ $$aGlobal and local sensitivity analyses are essential for identifying key parameters in life cycle assessment models. However, due to limited information on parameter uncertainty, they are often overlooked. This paper’s objective is to address this gap by proposing a methodological framework for defining input sensitivity, for midpoint and end point indicators, and a quantitative approach for determining input uncertainties. Applied to a case study on xylitol production as a phase change material, the methodology uses Monte Carlo for uncertainty propagation and Python’s SALib to calculate Sobol indices. Results show a 2% relative error in midpoint indicators, aligning with pedigree matrix methods. While accuracy depends on choosing the appropriate distribution function, both global and local sensitivity analyses showed consistent outcomes. This structured, user-friendly approach offers decision-makers a simplified yet effective way to prioritize inputs, either by verifying multiple indicators individually or focusing on damage-oriented indicators. Future studies could refine database coefficients and explore their influence on overall uncertainty, as well as the nonlinearity of the model if the parameters are correlated, offering opportunities to enhance accuracy.
000163956 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/RYC2021-034265-I$$9info:eu-repo/grantAgreement/EUR/MICINN/TED2021-131061B–C31
000163956 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000163956 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000163956 700__ $$0(orcid)0000-0003-3269-023X$$aGuillén-Lambea, Silvia$$uUniversidad de Zaragoza
000163956 7102_ $$15004$$2590$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Máquinas y Motores Térmi.
000163956 773__ $$g2, 8 (2025), 1593-1604$$pACS sustain. resource manag.$$tACS sustainable resource management$$x2837-1445
000163956 8564_ $$s5086309$$uhttps://zaguan.unizar.es/record/163956/files/texto_completo.pdf$$yVersión publicada
000163956 8564_ $$s3264472$$uhttps://zaguan.unizar.es/record/163956/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000163956 909CO $$ooai:zaguan.unizar.es:163956$$particulos$$pdriver
000163956 951__ $$a2025-11-13-14:58:32
000163956 980__ $$aARTICLE