Solvent Sensor for Online Process Monitoring

Optimal operation of CO₂ capture processes are necessary to ensure minimization of CO₂ removal cost, emissions to air and solvent longevity. CO₂-loading, amine concentration (blend composition) and water content are dynamic solvent parameters directly related to process performance. Online compositional analysis of gas phase streams in CO₂ capture processes is well known.

In this project two multi-components analyzers (ION MLA and SINTEF’s prototype) have been developed and tested on liquid phase streams. Two multivariate calculations models have been developed and demonstrated (#1 and #2) for analyses of data from the online analyzer. These models predicts solvent components, water and CO₂ for real samples.