Modeling and computing magnetocaloric systems using the Python framework heatrapy
authors Silva, DJ; Amaral, JS; Amaral, VS
nationality International
journal INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID
author keywords Heat transfer; Thermodynamics; Magnetocaloric effect; Heatrapy
keywords NUMERICAL-SIMULATION; TEMPERATURE SPAN; FLUID-FLOW; THERMODYNAMICS; REFRIGERATION; OPTIMIZATION
abstract Among all ferroic-based thermotechnologies, magnetocaloric refrigeration has become one of the most reported alternatives to vapor-compression systems. Hence, the modeling, and respective computation, of magnetocaloric systems has become of paramount importance in designing new devices. The need to optimize various adjustable model parameters makes overall computational costs a real-life limitation to these computational explorations. Recently, the heatrapy Python framework was made available, which aims at simulating caloric effects and thermal devices. In this work, two simple models are implemented in the heatrapy framework and are described and validated: one fully solid state magnetocaloric system, and one hydraulic active magnetic regenerative system. Both models show considerably reduced computational costs. (C) 2019 Elsevier Ltd and IIR. All rights reserved.
publisher ELSEVIER SCI LTD
issn 0140-7007
year published 2019
volume 106
beginning page 278
ending page 282
digital object identifier (doi) 10.1016/j.ijrefrig.2019.06.014
web of science category Thermodynamics; Engineering, Mechanical
subject category Thermodynamics; Engineering
unique article identifier WOS:000489835600027
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journal analysis (jcr 2017):
journal impact factor 3.233
5 year journal impact factor 3.328
category normalized journal impact factor percentile 85.504
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