An open source DNS solver for the simulation of Active Magnetocaloric Regenerative cycles

Mugica, Ibai; Poncet, Sébastien; Bouchard, Jean

doi:10.1016/j.applthermaleng.2018.06.007

Cited by 14 publications

(9 citation statements)

References 45 publications

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“…Therefore, a higher fluid motion ensures a more homogenous fluid motion. The existence of an optimum fluid displacement amplitude was also observed by other groups, for example such as in [49] for electrocaloric regenerative cooling or in [17,50] for magnetocaloric regenerative cooling. In our experiment and simulation, the optimum displacement is found to be around 10% of the total length of the cooling system.…”

Section: Property Symbol Value Unitsupporting

confidence: 67%

Regenerative cooling using elastocaloric rubber: Analytical model and experiments

Sebald

Komiya

Jacques

et al. 2020

Journal of Applied Physics

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: Property Symbol Value Unitsupporting

confidence: 67%

Regenerative cooling using elastocaloric rubber: Analytical model and experiments

Sebald

Komiya

Jacques

et al. 2020

Journal of Applied Physics

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“…Mugica et al developed an open‐source direct numerical simulation solver that enabled simulation of active magnetic regeneration cycles. They showed that the model could be applied to regenerators with different geometries and properties, as well as to other caloric technologies.…”

Section: Magnetocaloric Refrigeration and Heat Pumpingmentioning

confidence: 99%

Energy Applications of Magnetocaloric Materials

Kitanovski

2020

Advanced Energy Materials

364

156

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The need for energy‐efficient and environmentally friendly refrigeration, heat pumping, air conditioning, and thermal energy harvesting systems is currently more urgent than ever. Magnetocaloric energy conversion is among the best available alternatives for achieving these technological goals and has been the subject of substantial basic and applied research over the last two decades. The subject is strongly interdisciplinary, requiring proper understanding and efficient integration of knowledge in different specialized fields. This review article presents a historical and up‐to‐date account of the energy‐related applications of magnetocaloric materials and information about their processing and magnetic fields, thermodynamics, heat transfer, and other relevant characteristics. The article also discusses the conceptual design of magnetocaloric refrigeration and power generation systems and some guidelines for future research in the field.

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“…Mugica et al divided the model into two phenomena: fluid dynamics and heat transfer. The fluid dynamics phenomena were modeled in 3D, while heat transfer was modeled in 1D 103 . Finally, Guo et al used a 3D model to calculate the heat phenomena in an EC system with a static fluid 104 …”

Section: Thermodynamic Modelingmentioning

confidence: 99%

“…Although the used approximations resulted in acceptable predictions, the determination of the fluid movement in caloric systems is still of paramount importance to understand the functioning of the system and to improve the model precision. In that context, a considerable amount of published research has been solely focusing on fluid dynamics 103,112,113 . One important example is the effect of flow maldistribution in parallel‐plate regenerators 114,115 .…”

Section: Thermodynamic Modelingmentioning

confidence: 99%

Caloric devices: A review on numerical modeling and optimization strategies

2021

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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.

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An open source DNS solver for the simulation of Active Magnetocaloric Regenerative cycles

Cited by 14 publications

References 45 publications

Regenerative cooling using elastocaloric rubber: Analytical model and experiments

Regenerative cooling using elastocaloric rubber: Analytical model and experiments

Energy Applications of Magnetocaloric Materials

Caloric devices: A review on numerical modeling and optimization strategies

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