Caloric devices: A review on numerical modeling and optimization strategies

International Journal of Energy ResearchVolume 45, Issue 13 p. 18498-18539 REVIEW PAPER Caloric devices: A review on numerical modeling and optimization strategies Daniel J. Silva, Corresponding Author Daniel J. Silva [email protected] orcid.org/0000-0002-2660-4692 IFIMUP - Institute of Physics for Advanced Materials, Nanotechnology and Photonics, Faculty of Science of the Porto University, Porto, Portugal Correspondence Daniel J. Silva, IFIMUP - Institute of Physics for Advanced Materials, Nanotechnology and Photonics, Faculty of Science of the Porto University, Porto 4169-007, Portugal Email: [email protected]Search for more papers by this authorJoão Ventura, João Ventura IFIMUP - Institute of Physics for Advanced Materials, Nanotechnology and Photonics, Faculty of Science of the Porto University, Porto, PortugalSearch for more papers by this authorJoão P. Araújo, João P. Araújo IFIMUP - Institute of Physics for Advanced Materials, Nanotechnology and Photonics, Faculty of Science of the Porto University, Porto, PortugalSearch for more papers by this author Daniel J. Silva, Corresponding Author Daniel J. Silva [email protected] orcid.org/0000-0002-2660-4692 IFIMUP - Institute of Physics for Advanced Materials, Nanotechnology and Photonics, Faculty of Science of the Porto University, Porto, Portugal Correspondence Daniel J. Silva, IFIMUP - Institute of Physics for Advanced Materials, Nanotechnology and Photonics, Faculty of Science of the Porto University, Porto 4169-007, Portugal Email: [email protected]Search for more papers by this authorJoão Ventura, João Ventura IFIMUP - Institute of Physics for Advanced Materials, Nanotechnology and Photonics, Faculty of Science of the Porto University, Porto, PortugalSearch for more papers by this authorJoão P. Araújo, João P. Araújo IFIMUP - Institute of Physics for Advanced Materials, Nanotechnology and Photonics, Faculty of Science of the Porto University, Porto, PortugalSearch for more papers by this author First published: 20 July 2021 https://doi.org/10.1002/er.7023 Funding information: Fundação para a Ciência e a Tecnologia, Grant/Award Numbers: NECL-IFIMUP, NORTE-01-0145-FEDER-022096, PTDC/EME-TED/3099/2020 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Summary The discovery of giant caloric effects and further investigation on device systems that can compete with current heat management technologies in terms of efficiency have led to a major increase in modeling investigations. These models have been crucial in designing the most efficient, cheap, and robust setups with reliable performances. One example is the modeling of magnetic refrigerators and heat pumps that has been used in the optimization of critical geometrical parameters of magnetocaloric regenerators. In this paper, we review the model components of caloric heat pump and refrigerator systems, including field generation, heat transfer, caloric effects, fluid dynamics, and loss mechanisms. We also review the optimization strategies used so far, which are based on sensitive analysis, brute force approaches, statistical learning, and genetic algorithms. The analysis is applied to magnetocaloric, electrocaloric, elastocaloric, and barocaloric systems. Volume45, Issue1325 October 2021Pages 18498-18539 RelatedInformation