Distributed monitoring of the absorption column of a post-combustion CO2 capture plant

In this work, we consider the monitoring of the absorption column of a typical post-combustion capture plant within a distributed framework. The column is decomposed into a few subsystems, and a distributed moving horizon state estimator network is designed to estimate the state of the entire column. A state predictor is also designed for each subsystem to approximate the future evolution of the subsystem. These subsystem predictors form a distributed predictor network. Based on the distributed estimator and predictor networks, a fault diagnosis mechanism is proposed specifically for potential additive sensor faults. Extensive simulation results are provided to demonstrate the performance of the proposed approach.