氢气快速加注过程建模与分析

薛龙昌, 邓佳佳, 黄靖钟, 刘斌, 庹中兰

太阳能学报 ›› 2025, Vol. 46 ›› Issue (3) : 116-122.

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (3) : 116-122. DOI: 10.19912/j.0254-0096.tynxb.2023-1914

氢气快速加注过程建模与分析

  • 薛龙昌1,2, 邓佳佳3, 黄靖钟4, 刘斌4, 庹中兰4
作者信息 +

MODELLING AND ANALYSIS OF HYDROGEN FAST FILLING PROCESSES

  • Xue Longchang1,2, Deng Jiajia3, Huang Jingzhong4, Liu Bin4, Tuo Zhonglan4
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文章历史 +

摘要

采用数值模拟的方法,建立大规模快速加氢站的整体加注流程模拟分析模型,分析快速加注过程不同加注参数对列车储罐内氢气情况的影响特性。结果表明:三级压缩是最经济合理的压缩方式;当加注速度相差108 kg/h时,加注结束后储罐内氢气温度相差约5 K,与环境换热功率相差约20 kW;预冷温度对氢气温度和加注时间均有影响;当初始压力相差3/5 MPa时,加注时间相差约40/60 s。

Abstract

This study employs a numerical simulation method to establish a comprehensive simulation and analysis model for the fast refueling process at large-scale refueling stations for hydrogen trains. The investigation focuses on analyzing the influence of various refueling parameters on the hydrogen conditions within the train's storage tank during the rapid refueling process. The findings reveal that a three-stage compression proves to be the most economically viable compression method. A discrepancy of 108 kg/h in the refueling rate results in an approximate 5 K difference in the hydrogen temperature within the storage tank post-refueling, along with an approximately 20 kW variance in heat exchange with the environment. Furthermore, the pre-cooling temperature is identified as a factor affecting hydrogen temperature and refueling time. In scenarios where the initial pressure varies by 3/5 MPa, the refueling time exhibits an approximate difference of 40/60 seconds.

关键词

氢气 / 储氢 / 加注站 / 氢能列车

Key words

hydrogen / hydrogen storage / filling stations / hydrogen-powered trains

引用本文

导出引用
薛龙昌, 邓佳佳, 黄靖钟, 刘斌, 庹中兰. 氢气快速加注过程建模与分析[J]. 太阳能学报. 2025, 46(3): 116-122 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1914
Xue Longchang, Deng Jiajia, Huang Jingzhong, Liu Bin, Tuo Zhonglan. MODELLING AND ANALYSIS OF HYDROGEN FAST FILLING PROCESSES[J]. Acta Energiae Solaris Sinica. 2025, 46(3): 116-122 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1914
中图分类号: TK91   

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基金

河北省科学院科技计划(2023PF03); 广西高校中青年教师科研基础能力提升项目(2024KY1384)

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