燃料电池用氢气中无机卤化物和甲酸分析数据集

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无机卤化物和甲酸检测分析方法开发相关数据集。Unlike hydrogen used in refineries, hydrogen for hydrogen fuel cells not only has stricter purity requirements, but more importantly, requires strict control of trace impurities in the hydrogen stream; otherwise, it will severely impair the operating efficiency and service life of fuel cells. Hydrogen sources mainly come from traditional processes such as natural gas reforming for hydrogen production, byproduct hydrogen from catalytic reforming, and coal-to-hydrogen production. Fossil fuel-based hydrogen production processes inevitably introduce impurities such as CO, CO₂, NH₃, hydrocarbons, sulfides, formaldehyde, formic acid, inert gases and others into the product stream. These trace impurities are among the main factors affecting the durability of fuel cells, and the occurrence states of impurities vary across different hydrogen sources. Therefore, appropriate methods need to be established to accurately quantify the trace key impurities in hydrogen sources, as well as conduct molecular identification and occurrence state analysis of impurity components in typical hydrogen sources. This dataset is related to the development of detection and analytical methods for inorganic halides and formic acid in hydrogen for fuel cells.

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背景概述

该数据集专注于燃料电池用氢气中无机卤化物和甲酸等痕量杂质的检测分析方法开发，旨在解决杂质对电池运行效率和寿命的影响问题。它支持对典型氢源中关键杂质进行准确定量分析和分子鉴别。