000163801 001__ 163801
000163801 005__ 20251107115328.0
000163801 0247_ $$2doi$$a10.1016/j.est.2025.118961
000163801 0248_ $$2sideral$$a145861
000163801 037__ $$aART-2025-145861
000163801 041__ $$aeng
000163801 100__ $$0(orcid)0000-0002-0297-1834$$aDa Silva Santos, Humberto$$uUniversidad de Zaragoza
000163801 245__ $$aRelative contribution and sensitivity analyses for decision-making in the environmental assessment of bio-based phase change materials
000163801 260__ $$c2025
000163801 5060_ $$aAccess copy available to the general public$$fUnrestricted
000163801 5203_ $$aThis paper aims to investigate the environmental impact of the production of bio-based phase change materials to contribute to the advancement and development of energy systems with a low environmental impact. It uses relative contribution, local, and global sensitivity analysis to target critical inputs for decision-making. The materials selected are jojoba oil, coconut oil, lauric, myristic, and stearic acids, xylitol, and adipic acid, with melting temperatures varying from 14 °C to 152 °C. The methodology follows the ISO guidelines for the life cycle assessment of all materials, for which the boundary system has considered three unit processes: farming, transportation, and manufacturing. It was found that to produce 1 kg of adipic acid, the global warming potential is 13 kg CO2 eq, while for jojoba oil, it is only 0.96 kg CO2 eq. For phase change materials like jojoba oil, coconut oil, myristic acid, and stearic acid, farming dominates the global warming potential, while manufacturing takes over the major share of this environmental indicator for the remaining materials. The local sensitivity analysis results show that jojoba oil's global warming potential can increase by nearly 38 % if irrigation water reaches its upper bound. On the other hand, global sensitivity analysis shows the Sobol index by which inputs contribute to output uncertainty. For instance, the jojoba oil global warming uncertainty could be affected by 60 % by irrigation water. Results show that the higher melting temperature phase change materials have a higher footprint than the lower melting temperature ones, except for coconut oil, as a consequence of more process inputs and production process complexity. Overall, relative contribution analysis helps locate critical unit processes and inputs, while local sensitivity analysis allows for identifying how critical input variation affects the targeted indicator, and the global sensitivity analysis is useful to understand the critical inputs in terms of uncertainty.
000163801 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2023-148958OB-C21$$9info:eu-repo/grantAgreement/ES/MICINN/RYC2021-034265-I
000163801 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000163801 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000163801 700__ $$0(orcid)0000-0003-3269-023X$$aGuillen-Lambea, Silvia$$uUniversidad de Zaragoza
000163801 7102_ $$15004$$2590$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Máquinas y Motores Térmi.
000163801 773__ $$g139, Part. B (2025), 118961 [15 pp.]$$pJ. energy storage$$tJournal of Energy Storage$$x2352-152X
000163801 8564_ $$s19599624$$uhttps://zaguan.unizar.es/record/163801/files/texto_completo.pdf$$yVersión publicada
000163801 8564_ $$s2581829$$uhttps://zaguan.unizar.es/record/163801/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000163801 909CO $$ooai:zaguan.unizar.es:163801$$particulos$$pdriver
000163801 951__ $$a2025-11-07-10:24:58
000163801 980__ $$aARTICLE