147942 20260217205542.0 doi 10.3390/en17235982 sideral 141420 ART-2024-141420 eng Tajik Jamalabad, Milad Universidad de Zaragoza Comparison of Different Numerical Models for Solidification of Paraffin-Based PCMs and Evaluation of the Effect of Variable Mushy Zone Constant 2024 Access copy available to the general public Unrestricted The impact of the mushy zone parameter (Amushy) and the chosen numerical model during the solidification of a commercial paraffin-type phase change material (PCM) in a vertical cylinder under T-history conditions was examined through numerical simulations. The cooling process was modeled using three methods implemented in the CFD software ANSYS Fluent 2020 R2: the enthalpy–porosity method, the apparent heat capacity (AHC) method, and a new model proposed by the authors which incorporates heat capacity directly into ANSYS Fluent. To accurately define the boundary conditions, radiative heat transfer between surfaces was taken into account. Furthermore, the influence of the mushy zone parameter on the simulation accuracy and solidification rate was investigated, with the parameter being treated as a function of the liquid fraction. The results indicate that the proposed model aligns closely with experimental data regarding cooling temperature, offering better predictions compared to the other models. It was observed that temperature varies with time but not with position, suggesting that this model more effectively satisfies the lumped system condition—an essential characteristic of the T-history experiment—compared to the other methods. Additionally, the analysis showed that a higher mushy zone parameter enhances the accuracy of simulations and predicts a shorter solidification time; approximately 11% for the E-p and 7% for the AHC model. Using a variable mushy zone parameter based on the liquid fraction also produced similar results, resulting in an increased solidification rate. info:eu-repo/grantAgreement/EUR/AEI/ENSURE Project TED2021-131397B-I00 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 3.2 2024 ENERGY & FUELS 112 / 182 = 0.615 2024 Q3 T2 0.713 2024 Engineering (miscellaneous) 2024 Q1 Electrical and Electronic Engineering 2024 Q2 Energy (miscellaneous) 2024 Q2 Renewable Energy, Sustainability and the Environment 2024 Q2 Fuel Technology 2024 Q2 Control and Optimization 2024 Q2 Energy Engineering and Power Technology 2024 Q2 7.3 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Cortes, Cristobal Universidad de Zaragoza (orcid)0000-0001-6665-5331 Pallarés, Javier Universidad de Zaragoza (orcid)0000-0002-4819-3636 Gil, Antonia Universidad de Zaragoza (orcid)0000-0002-0704-4685 Arauzo, Inmaculada Universidad de Zaragoza (orcid)0000-0001-5473-6919 5004 590 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Máquinas y Motores Térmi. 17, 23 (2024), 5982 [17 pp.] ENERGIES Energies 1996-1073 3630832 http://zaguan.unizar.es/record/147942/files/texto_completo.pdf Versión publicada 2764067 http://zaguan.unizar.es/record/147942/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:147942 articulos driver 2026-02-17-20:36:40 ARTICLE