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.
keywords
NUMERICAL-SIMULATION; TEMPERATURE SPAN; FLUID-FLOW; THERMODYNAMICS; REFRIGERATION; OPTIMIZATION
subject category
Thermodynamics; Engineering
authors
Silva, DJ; Amaral, JS; Amaral, VS
our authors
Daniel José da Silva
Post-Doc Fellowship
João Cunha de Sequeira Amaral
Assistant Researcher
Vitor Brás Sequeira Amaral
Full professorProjects
SGH : Smart Green Homes (Smart Green Homes)
Projeto de Investigação Exploratória: João Amaral (IF/01089/2015)
acknowledgements
The present study was developed in the scope of the Smart Green Homes Project [POCI-01-0247-FEDER-007678], a co-promotion between Bosch Termotecnologia S.A. and the University of Aveiro. It is financed by Portugal 2020 under the Competitiveness and Internationalization Operational Program, and by the European Regional Development Fund. Project CICECOAveiro Institute of Materials, POCI-01-0145-FEDER-007679 (FCT Ref. UID/CT/5001/2013), financed by national funds through the FCT/MEC and co-financed by FEDER under the PT2020 Partnership Agreement is acknowledged. JSA acknowledges FCT IF/01089/2015 research grant.