Influence of computing magnetic field on thermal performance of a magnetocaloric cooling system

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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“…Hence, a trade‐off must be considered for the values of the used steps. While the maximum allowable

normalΔ t

and

normalΔ x

depend on the used method, they must comply with the Courant‐Friedrich‐Levy condition 76,109 :

u \frac{normalΔ t}{normalΔ x} ≲ 1 .

…”

Section: Numerical Implementationmentioning

confidence: 99%

Caloric devices: A review on numerical modeling and optimization strategies

2021

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“…Plait et al ( 2018) [19,86,87] developed a 2-D semi-analytical model for magnetic refrigeration systems. The model is based on a previous 1-D multi-physics model made by Mira [27,73]. Some improvements have been made in this new version.…”

Section: -D Magneto-thermo-fluidic Modelingmentioning

confidence: 99%

“…The validation showed the good accurac the model. [27,73]. Some improvements have been made in this new version.…”

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confidence: 99%

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Review of Multi-Physics Modeling on the Active Magnetic Regenerative Refrigeration

Eustache

Plait

et al. 2021

MCA

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Compared to conventional vapor-compression refrigeration systems, magnetic refrigeration is a promising and potential alternative technology. The magnetocaloric effect (MCE) is used to produce heat and cold sources through a magnetocaloric material (MCM). The material is submitted to a magnetic field with active magnetic regenerative refrigeration (AMRR) cycles. Initially, this effect was widely used for cryogenic applications to achieve very low temperatures. However, this technology must be improved to replace vapor-compression devices operating around room temperature. Therefore, over the last 30 years, a lot of studies have been done to obtain more efficient devices. Thus, the modeling is a crucial step to perform a preliminary study and optimization. In this paper, after a large introduction on MCE research, a state-of-the-art of multi-physics modeling on the AMRR cycle modeling is made. To end this paper, a suggestion of innovative and advanced modeling solutions to study magnetocaloric regenerator is described.

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“…However, electromagnets can be very useful in fundamental magnetocaloric test devices for time-controlled magnetization and heat exchange measurement in regenerators, 7 since the magnetic field can thus be easily controlled.…”

Section: Introductionmentioning

confidence: 99%

Influence of magnetization on the applied magnetic field in various AMR regenerators

Mira

Larochelambert

Espanet

et al. 2017

Journal of Applied Physics

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Abstract:The aim of this work is to assess the influence of a magnetic sample on the applied magnetic field inside the air gap of a magnetic circuit. Different magnetic sources including an electromagnet, a permanent magnet in a soft ferromagnetic toroidal yoke, as well as 2D and 3D Halbach cylinders are considered, using a numerical model. Gadolinium is chosen as magnetic material for the sample, due to its strong magnetocaloric properties and its wide use in magnetic refrigeration prototypes. We find that using uniform theoretical demagnetizing factors for cylinders or spheres results in a deviation of less than 2% in the calculation of internal magnetic fields at temperatures above the Curie point of gadolinium. Below the Curie point, a stronger magnetization of the cylinders and spheres leads to a larger deviation which can reach 8% when using uniform demagnetizing factors for internal magnetic

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Influence of computing magnetic field on thermal performance of a magnetocaloric cooling system

Cited by 6 publications

References 0 publications

Caloric devices: A review on numerical modeling and optimization strategies

Caloric devices: A review on numerical modeling and optimization strategies

Review of Multi-Physics Modeling on the Active Magnetic Regenerative Refrigeration

Influence of magnetization on the applied magnetic field in various AMR regenerators

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