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低温储氢系统中三种正-仲催化转化放热量计算方法研究

Research on Three Methods for Calculating Heat Release from Ortho-Para Catalytic Conversion in Cryogenic Hydrogen Storage Systems
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摘要 低温储氢系统中,不同正-仲氢催化转化放热量的精确计算方法对储氢系统负荷的确定至关重要。通过建立相应的转化模型,分别应用平滑样条曲线拟合实验数据和能量衡算的方法,推导了绝热转化多级转化器放热量的计算方法以及连续转化的转化热表达式,并分析了绝热、等温及连续转化方式的放热特性,结果表明连续转化的转化热最小,等温转化最大,而绝热转化介于两者之间,且与转化级数相关。针对连续转化的隐式微分表达式提出一种编程求解的具体方法和步骤。2种方法的计算结果一致,最大偏差仅为0.22%,表明提出的计算方法是有效和准确的。 In cryogenic hydrogen storage systems,an accurate calculation method for the heat release from different ortho-para hydrogen catalytic conversions is important to determine the load of hydrogen storage systems.The objective of this study is to present a precise calculation method for the conversion heat of ortho-para hydrogen.By establishing a conversion model,the methods of using a smoothing spline curve to fit the experimental data and energy balance calculations are used to derive the released heat in adiabatic conversion multistage converters and the released heat during continuous conversion.The heat release properties of different conversion methods are analyzed in this study.Notably,the heat release amount of continuous conversion is the smallest,that of isothermal conversion is the largest,and the conversion heat of adiabatic conversion is in between,which is related to the number of conversion stages.In addition,a specific method and procedure are programmed to solve the implicit differential formula for continuous conversion.Finally,the calculation results of the different methods are consistent with a maximum deviation of only 0.22%,indicating that the calculations in this study are valid and accurate.
作者 岳腾龙 许婧煊 Yue Tenglong;Xu Jingxuan(Institute of Energy Storage Science and Engineering,University of Shanghai for Science and Technology,Shanghai,200093,China)
出处 《制冷学报》 北大核心 2025年第5期47-57,共11页 Journal of Refrigeration
关键词 正-仲转化 转化热 储氢技术 数据处理 误差分析 ortho-para conversion conversion heat hydrogen storage technology data processing error analysis
作者简介 通信作者:许婧煊,女,副教授,上海理工大学能源与动力工程学院,18217105157,E-mail:xujingxuan@usst.edu.cn。研究方向:低温氢能储运、低温储能技术。
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