|
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 |
|
isbn |
1879-2081 |
|
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
|
