The monitoring of the absorbent during the operation of CO₂ separation processes is a necessary and challenging task. The most common absorbent used is an aqueous amine solution. Traditional approaches to analysis such as titration and chromatography are time-consuming and only provide limited information. This hinders the ability of process operators to rapidly respond to changes in operating conditions. In this work, a combination of infrared (IR) spectroscopy and principle component regression (PCR) analyses have been demonstrated as a rapid and reliable technique to determine the composition of an absorbent during a pilot plant campaign at a brown coal power station. The concentration of amine, a degradation product, CO₂, and water was monitored throughout the campaign by a method that provided results in minutes. The results were verified by independent sample analysis using acid–base titration, high-performance liquid chromatography (HPLC), and ¹³C NMR spectroscopy. It was necessary to use spectral windowing when building the IR-PCR model, but this resulted in a robust and reliable method that has been demonstrated to work in a real-world process environment.

中文翻译：

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试点工厂运行过程中红外吸收剂成分和降解的监测

在CO ₂分离过程的操作过程中对吸收剂进行监控是一项必要且具有挑战性的任务。最常用的吸收剂是胺水溶液。传统的分析方法（例如滴定法和色谱法）非常耗时，并且只能提供有限的信息。这阻碍了过程操作员快速响应操作条件变化的能力。在这项工作中，红外（IR）光谱和主成分回归（PCR）分析相结合已被证明是一种快速可靠的技术，可用于在褐煤发电站进行试点工厂活动期间确定吸收剂的成分。胺，降解产物，CO ₂的浓度，并且在整个竞选期间通过一种可以在几分钟内提供结果的方法对水进行监控。通过使用酸碱滴定，高效液相色谱（HPLC）和¹³ C NMR光谱的独立样品分析来验证结果。建立IR-PCR模型时必须使用光谱窗，但这导致了一种可靠且可靠的方法，该方法已被证明可在实际过程环境中使用。