Data and code underlying Chapter 4 of the PhD thesis "Advanced Magnetocaloric Regenerators for Heat Pump Applications"
DOI:10.4121/b8ecc2b2-d606-4216-962c-dfc10942c3ca.v1
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DOI: 10.4121/b8ecc2b2-d606-4216-962c-dfc10942c3ca
DOI: 10.4121/b8ecc2b2-d606-4216-962c-dfc10942c3ca
Datacite citation style
Pineda Quijano, Diego; Fonseca Lima, Beatriz; Infante Ferreira, Carlos A.; Brück, Ekkes (2025): Data and code underlying Chapter 4 of the PhD thesis "Advanced Magnetocaloric Regenerators for Heat Pump Applications". Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/b8ecc2b2-d606-4216-962c-dfc10942c3ca.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
This dataset contains the results of numerical simulations performed to estimate the seasonal coefficient of performance (SCOP) of a magnetocaloric heat pump for the built environment. The SCOP is estimated based on the heating demand of a well-insulated house in the Netherlands. These results were published in the International Journal of Refrigeration 164 (2024) 38-48. The simulations were performed using a one-dimensional numerical model of an AMR implemented in Python.
History
- 2025-06-13 first online, published, posted
Publisher
4TU.ResearchDataFormat
simulation data / .txt, Python scripts with simulation parameters / .py, AMR model implementation / .pyAssociated peer-reviewed publication
Seasonal COP of a residential magnetocaloric heat pump based on MnFePSiFunding
- Integrale Energietransitie in Bestaande Bouw (grant code TEUE919003) Ministerie van Economische Zaken & Klimaat en het Ministerie van Binnenlandse Zaken & Koninkrijksrelaties
Organizations
TU Delft, Faculty of Applied Sciences, Department of Radiation Science and Technology, Fundamental Aspects of Materials and EnergyDATA
To access the source code, use the following command:
git clone https://data.4tu.nl/v3/datasets/042da9ba-6fe8-414f-9c40-1a152e831867.git
Files (3)
- 4,384 bytesMD5:
17d612d8708404e6ca8e1ff86d534215
README.txt - 1,554,491 bytesMD5:
3f9369dcd29b32951750327fd30d6490
Ambient_temperature_data.zip - 788,303,884 bytesMD5:
44bbba51c3474035b112bdb5f7b7921a
Results_figure_4.zip -
download all files (zip)
789,862,759 bytes unzipped