A regularized approach for derivative-based numerical solution of non-linearities in phase change static hysteresis modeling

Phase change materials (PCMs) represent a promising solution for thermal energy storage (TES) since they can store and release energy in the form of latent heat during solid ↔ liquid transitions. Nevertheless, accurately simulating the thermal behavior of PCMs remains challenging due to the non-linearities concerning latent heat effects and enthalpy hysteresis. This work introduces a stable and robust procedure based on the finite element method (FEM) under a mixed enthalpy–temperature formulation to address such non-linearities, which enables the numerical solutions using derivative-based algorithms such as the Newton–Raphson (NR) method. The static hysteresis model (SHM) is implemented in the FEM-based formulation via a regularization of the liquid fraction function in response to the sign of the temperature rate. This novel approach ensures a continuous and smooth heating ↔ cooling transition while retaining the SHM energy-conservative features to properly solve its non-linearities. The method is validated through a one-dimensional benchmark problem, demonstrating high performance and physical fidelity for both complete and partial phase changes. It achieves second-order convergence rates, ensures numerical stability even for large time steps, and maintains accuracy under diverse thermal boundary conditions. Finally, the method is extended to two-dimensional problems, highlighting its robustness and scalability for practical applications in TES systems.

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Publication Details

Journal
International Communications in Heat and Mass Transfer
Published
2025-02-15
DOI
https://doi.org/10.1016/j.icheatmasstransfer.2025.108691
Citations
1
Primary Topic
Heat Transfer and Optimization
Type
article
Field-Weighted Citation Impact
0.71
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article

A regularized approach for derivative-based numerical solution of non-linearities in phase change static hysteresis modeling

Benjamín A. Tourn, Juan C. Álvarez Hostos, Alejandro E. Albanesi, Ramiro Adrián DITTLER et al.
1 citations
International Communications in Heat and Mass Transfer
Heat Transfer and Optimization
0.71
article

A regularized approach for derivative-based numerical solution of non-linearities in phase change static hysteresis modeling

Benjamín A. Tourn, Juan C. Álvarez Hostos, Alejandro E. Albanesi, Ramiro Adrián DITTLER, María C. Demarchi
article en
1 citations

Abstract

Phase change materials (PCMs) represent a promising solution for thermal energy storage (TES) since they can store and release energy in the form of latent heat during solid ↔ liquid transitions. Nevertheless, accurately simulating the thermal behavior of PCMs remains challenging due to the non-linearities concerning latent heat effects and enthalpy hysteresis. This work introduces a stable and robust procedure based on the finite element method (FEM) under a mixed enthalpy–temperature formulation to address such non-linearities, which enables the numerical solutions using derivative-based algorithms such as the Newton–Raphson (NR) method. The static hysteresis model (SHM) is implemented in the FEM-based formulation via a regularization of the liquid fraction function in response to the sign of the temperature rate. This novel approach ensures a continuous and smooth heating ↔ cooling transition while retaining the SHM energy-conservative features to properly solve its non-linearities. The method is validated through a one-dimensional benchmark problem, demonstrating high performance and physical fidelity for both complete and partial phase changes. It achieves second-order convergence rates, ensures numerical stability even for large time steps, and maintains accuracy under diverse thermal boundary conditions. Finally, the method is extended to two-dimensional problems, highlighting its robustness and scalability for practical applications in TES systems.

International Communications in Heat and Mass TransferVol. 163
National Technological University (AR), Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Universidad Nacional del Litoral (AR), Centro de Investigación de Métodos Computacionales (AR), International Center for Numerical Methods in Engineering (ES)
Openalex Percentile: Top 36%
Heat Transfer and Optimization
0.71
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