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首页> 外文期刊>International journal of hydrogen energy >Thermal analysis of a multistage active magnetic regenerator cycle for hydrogen liquefaction
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Thermal analysis of a multistage active magnetic regenerator cycle for hydrogen liquefaction

机译:氢液化的多级主动式磁蓄热循环的热分析

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The present paper deals with thermal analysis of cascade Active Magnetic Regenerator (AMR) cycle for the liquefaction of hydrogen starting from room temperature. For this purpose, the energy equations for fluid and solid within the regenerator bed of the AMR cycle have been considered. To solve the resulting mathematical model implicit finite difference method has been used. Thermal energy and mass balances are performed for several liquefaction systems composed of different number of cascade cycles. A simulation method using Hysys simulation commercial code has been presented. The multistage system operates with an ideal magnetic material as refrigerant and hydrogen gaseous as carrier fluid. First, the coefficient of performance (COP) of the AMR cycle and the required volume of magnetic material as functions of the number of cascades have been investigated. Then, the required volume is optimized by using the relationship between the COP and the volume. It has been found that a number of 6 AMR cycles operating in series is the optimal number of cascades required to liquefy 1 kg/h of hydrogen supplied at 25 degrees C. The system can operate between two volumes of magnetic material; namely, the minimum required volume (2.96 L) and the most efficient volume (7.44 L), corresponding to COP values of 1.23 and 4.7 respectively. (C) 2017 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:本文涉及级联主动磁再生器(AMR)循环从室温开始液化氢的热分析。为此,已经考虑了AMR循环的再生床内的流体和固体的能量方程。为了解决所得的数学模型,已使用隐式有限差分法。对由不同数量的级联循环组成的几个液化系统进行热能和质量平衡。提出了一种使用Hysys仿真商业代码的仿真方法。多级系统使用理想的磁性材料作为制冷剂,并使用气态氢作为载液。首先,已经研究了AMR循环的性能系数(COP)和所需的磁性材料体积,其数量是级联数量的函数。然后,通过使用COP和体积之间的关系来优化所需的体积。已经发现,串联操作的6个AMR循环数是液化1 kg / h的氢气在25摄氏度下所需的最佳级联数。该系统可以在两个体积的磁性材料之间运行;即,最小所需体积(2.96 L)和最有效体积(7.44 L),分别对应于COP值1.23和4.7。 (C)2017氢能出版物有限公司。由Elsevier Ltd.出版。保留所有权利。

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