TY - DATA T1 - Data and code underlying Chapter 3 of the PhD thesis "Advanced Magnetocaloric Regenerators for Heat Pump Applications" PY - 2025/06/12 AU - Diego Pineda Quijano AU - Carlos A. Infante Ferreira AU - Ekkes Brück UR - DO - 10.4121/cd51b1e3-ab4a-4e6c-a668-f53da25475d4.v1 KW - magnetocaloric heat pump KW - layered AMR KW - MnFePSi KW - packed bed KW - numerical simulation KW - layering strategies KW - Python KW - one-dimensional AMR model N2 -

This dataset contains the results of numerical simulations performed to investigate the influence of various layering strategies on the performance of active magnetocaloric regenerators (AMRs) for heat pump applications. These results were published in Applied Thermal Engineering 232 (2023) 120962. The simulations were performed using a one-dimensional numerical model of an AMR implemented in Python.

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