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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MDPI AG
2018-06-01
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Series: | Entropy |
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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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language | English |
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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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