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Inline Monitoring of CO 2 Absorption Processes Using Simple Analytical Techniques and Multivariate Modeling
Author(s) -
van der Ham Leen V.,
Bakker Daphne E.,
Geers Leon F. G.,
Goetheer Earl L. V.
Publication year - 2014
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.201300249
Subject(s) - multivariate statistics , solvent , absorption (acoustics) , fractional factorial design , work (physics) , process engineering , chemistry , biological system , factorial experiment , materials science , mathematics , statistics , engineering , organic chemistry , mechanical engineering , composite material , biology
The solvent and the dissolved CO 2 concentrations are two essential properties of CO 2 absorption processes. Currently, they are typically monitored using time‐consuming offline analytical techniques. Initial development efforts aiming at a cost‐effective and reliable inline monitoring system are described. Using a fractional factorial experimental design covering six solvent properties and five analytical techniques, it is demonstrated that the CO 2 and solvent concentrations correlate well with the density and refractive index. Applying a simplistic multivariate model to solvent samples from an industrial pilot plant indicated good potential for predictive use. Future work should focus on the development of a more accurate multivariate model, on the modeling of more solvents, and on combining the results with available process data.