Share

IIR document

Modeling and computing magnetocaloric systems using the Python framework heatrapy.

Author(s) : SILVA D. J., AMARAL J. S., AMARAL V. S.

Type of article: Article, IJR article

Summary

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.

Available documents

Format PDF

Pages: 278-282

Available

  • Public price

    20 €

  • Member price*

    Free

* Best rate depending on membership category (see the detailed benefits of individual and corporate memberships).

Details

  • Original title: Modeling and computing magnetocaloric systems using the Python framework heatrapy.
  • Record ID : 30026831
  • Languages: English
  • Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 106
  • Publication date: 2019/10
  • DOI: http://dx.doi.org/10.1016/j.ijrefrig.2019.06.014

Links


See other articles in this issue (54)
See the source

Indexing