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Online monitoring of dissolved CO2 and MEA concentrations: Effect of solvent degradation on predictive accuracy

机译:溶解二氧化碳和MEA浓度的在线监测:溶剂劣化对预测精度的影响

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Concentrations of dissolved CO2 and mono-ethanolamine (MEA) are two essential properties of common CO2 absorption processes. They can be predicted accurately and continuously using a combination of inline measurements and a multivariate model, also in the presence of various solvent degradation products. Including expected pollutants in the model calibration generally improves the prediction accuracy for polluted solvent samples originating from an industrial pilot plant. Compared to a model based on unpolluted samples, the obtained predictions are worse. However, they are still around 2-3 [%] of the measurement ranges, which makes them useful for real-time process monitoring and control.
机译:溶解二氧化碳和单乙醇胺(MEA)的浓度是常见CO 2吸收过程的两个必需性质。它们可以使用内联测量和多变量模型的组合来准确,连续地预测,也在各种溶剂降解产物的存在下。在模型校准中包括预期的污染物通常可以提高源自工业飞行员植物的污染溶剂样品的预测精度。与基于未污染样本的模型相比,所获得的预测更差。然而,它们仍然仍为2-3 [%]的测量范围,这使得它们可用于实时过程监控和控制。

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