FAME_AMR_model

doi:10.4121/cd51b1e3-ab4a-4e6c-a668-f53da25475d4

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FAME_AMR_model

Data and code underlying Chapter 3 of the PhD thesis "Advanced Magnetocaloric Regenerators for Heat Pump Applications"

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Description

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.

Keywords

layered AMR

layering strategies

magnetocaloric heat pump

MnFePSi

numerical simulation

one-dimensional AMR model

packed bed

python

Programming languages