A Fourier transform infrared (FTIR) spectroscopy method was developed to identify and quantify various components in an amine-based combined acid gas and water removal process. In this work, an attenuated total reflectance (ATR) probe was used. A partial least-squares (PLS) regression model was also developed using up to four components (methyl diethanolamine (MDEA)-H2O-CO2-ethylene glycol/triethylene glycol (MEG/TEG)), and it was successfully validated. The model was applied on thermally degraded CO2-loaded MDEA blends to predict the weight percentages of MDEA, H2O, CO2, and MEG or TEG to test the performance spectrum. The results confirmed that FTIR could be used as a simpler, quicker and reliable tool to identify and quantify various compounds such as MDEA, MEG/TEG, H2O and CO2 simultaneously in a combined acid gas and water removal process.
Poorly specified
liquid
mixtures, composed of specified components and unknown components,
play an important role in many parts of the process industry. The
unknown components may have a crucial impact on process design and
performance, which is why it is necessary to consider the unknown
part of poorly specified mixtures in thermodynamic models used for
process design or optimization. This work introduces a perturbation
scheme to model the impact of unknown components on the activities
of the specified components within poorly specified mixtures. The
prerequisite is a good thermodynamic model of the specified subsystem,
which is then perturbed to consider the effect of the unknown part
of the mixture. No detailed analysis of the unknown part of the mixture
is needed to use the perturbation scheme. The novel perturbation scheme
is applied to several example mixtures to illustrate the procedure
of parametrization and simulation.
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