Refrigeration Performance and Entropy Generation Analysis for Reciprocating Magnetic Refrigerator with Gd Plates

In the current work, a novel 2D numerical model of stationary grids was developed for reciprocating magnetic refrigerators, with Gd plates, in which the magneto-caloric properties, derived from the Weiss molecular field theory, were adopted for the built-in energy source of the magneto-caloric effec...

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Main Authors: Yonghua You, Zhongda Wu, Yong Yang, Jie Yu, Dong Zhang, Zhuang Zhang
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/20/6/427
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author Yonghua You
Zhongda Wu
Yong Yang
Jie Yu
Dong Zhang
Zhuang Zhang
author_facet Yonghua You
Zhongda Wu
Yong Yang
Jie Yu
Dong Zhang
Zhuang Zhang
author_sort Yonghua You
collection DOAJ
description In the current work, a novel 2D numerical model of stationary grids was developed for reciprocating magnetic refrigerators, with Gd plates, in which the magneto-caloric properties, derived from the Weiss molecular field theory, were adopted for the built-in energy source of the magneto-caloric effect. The numerical simulation was conducted under the conditions of different structural and operational parameters, and the effects of the relative fluid displacement (φ) on the specific refrigeration capacity (qref) and the Coefficient of Performance (COP) were obtained. Besides the variations of entropy, the generation rate and number were studied and the contours of the local entropy generation rate are presented for discussion. From the current work, it is found that with an increase in φ, both the qref and COP followed the convex variation trend, while the entropy generation number (Ns) varied concavely. As for the current cases, the maximal qref and COP were equal to 151.2 kW/m3 and 9.11, respectively, while the lowest Ns was the value of 2.4 × 10−4 K−1. However, the optimal φ for the largest qref and COP, and for the lowest Ns, were inconsistent, thus, some compromises need be made in the optimization of magnetic refrigerators.
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spelling doaj.art-1aff82c4dff942929cfd2da48dcf55eb2022-12-22T02:20:43ZengMDPI AGEntropy1099-43002018-06-0120642710.3390/e20060427e20060427Refrigeration Performance and Entropy Generation Analysis for Reciprocating Magnetic Refrigerator with Gd PlatesYonghua You0Zhongda Wu1Yong Yang2Jie Yu3Dong Zhang4Zhuang Zhang5State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, ChinaState Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, ChinaSchool of Material and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, ChinaSchool of Material and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, ChinaSchool of Material and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, ChinaSchool of Material and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, ChinaIn the current work, a novel 2D numerical model of stationary grids was developed for reciprocating magnetic refrigerators, with Gd plates, in which the magneto-caloric properties, derived from the Weiss molecular field theory, were adopted for the built-in energy source of the magneto-caloric effect. The numerical simulation was conducted under the conditions of different structural and operational parameters, and the effects of the relative fluid displacement (φ) on the specific refrigeration capacity (qref) and the Coefficient of Performance (COP) were obtained. Besides the variations of entropy, the generation rate and number were studied and the contours of the local entropy generation rate are presented for discussion. From the current work, it is found that with an increase in φ, both the qref and COP followed the convex variation trend, while the entropy generation number (Ns) varied concavely. As for the current cases, the maximal qref and COP were equal to 151.2 kW/m3 and 9.11, respectively, while the lowest Ns was the value of 2.4 × 10−4 K−1. However, the optimal φ for the largest qref and COP, and for the lowest Ns, were inconsistent, thus, some compromises need be made in the optimization of magnetic refrigerators.http://www.mdpi.com/1099-4300/20/6/427reciprocating magnetic refrigeratorGd platerefrigeration performanceentropy generation2D numerical simulation
spellingShingle Yonghua You
Zhongda Wu
Yong Yang
Jie Yu
Dong Zhang
Zhuang Zhang
Refrigeration Performance and Entropy Generation Analysis for Reciprocating Magnetic Refrigerator with Gd Plates
Entropy
reciprocating magnetic refrigerator
Gd plate
refrigeration performance
entropy generation
2D numerical simulation
title Refrigeration Performance and Entropy Generation Analysis for Reciprocating Magnetic Refrigerator with Gd Plates
title_full Refrigeration Performance and Entropy Generation Analysis for Reciprocating Magnetic Refrigerator with Gd Plates
title_fullStr Refrigeration Performance and Entropy Generation Analysis for Reciprocating Magnetic Refrigerator with Gd Plates
title_full_unstemmed Refrigeration Performance and Entropy Generation Analysis for Reciprocating Magnetic Refrigerator with Gd Plates
title_short Refrigeration Performance and Entropy Generation Analysis for Reciprocating Magnetic Refrigerator with Gd Plates
title_sort refrigeration performance and entropy generation analysis for reciprocating magnetic refrigerator with gd plates
topic reciprocating magnetic refrigerator
Gd plate
refrigeration performance
entropy generation
2D numerical simulation
url http://www.mdpi.com/1099-4300/20/6/427
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