燃料电池用氢气中痕量杂质傅里叶变换红外光谱法分析数据集

与炼厂用氢不同，氢燃料电池用氢除在纯度上提出更高的要求外更重要的是氢气中痕量杂质的控制，否则将严重影响电池的运行效率和寿命。氢源主要来源于传统的天然气重整制氢、催化重整副产氢及煤制氢等工艺，化石燃料在产氢的过程中不可避免带有CO、CO2、NH3、烃类、硫化物、甲醛、甲酸、惰性气体等杂质，这些微量杂质是影响燃料电池耐久性的主要因素之一，不同氢源中中杂质的赋存状态也不尽相同。因此，需要建立适当的方法准确定量分析氢源中的痕量关键杂质，并对典型氢源中的杂质组分进行分子鉴别及赋存情况分析。该数据集为燃料电池用氢气中痕量杂质傅里叶变换红外光谱法相关数据集。Unlike hydrogen used in refineries, hydrogen for fuel cells has more stringent requirements not only in terms of purity, but more importantly, the control of trace impurities in hydrogen; otherwise, it will severely affect the operating efficiency and service life of the fuel cells. The main sources of hydrogen feedstock for fuel cells include traditional processes such as natural gas reforming, by-product hydrogen from catalytic reforming, and coal-to-hydrogen production. During the hydrogen production process using fossil fuels, impurities like CO, CO₂, NH₃, hydrocarbons, sulfides, formaldehyde, formic acid, and inert gases are inevitably introduced. These trace impurities are one of the main factors affecting the durability of fuel cells, and the occurrence states of impurities vary across different hydrogen sources. Therefore, it is necessary to establish appropriate methods for the accurate quantitative analysis of trace key impurities in hydrogen feedstocks, as well as molecular identification and occurrence state analysis of impurity components in typical hydrogen sources. This dataset is related to Fourier Transform Infrared (FTIR) spectroscopy for the analysis of trace impurities in hydrogen for fuel cell applications.

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背景概述

该数据集专注于燃料电池用氢气中痕量杂质的分析，采用傅里叶变换红外光谱法。它旨在定量检测氢气中的关键微量杂质，以评估其对燃料电池运行效率和耐久性的影响。