Process simulation, system identification, model reduction and process control of solvent based carbon capture for power plants


Carbon capture and storage (CCS) is viewed as a key technology to reduce anthropogenic CO2 emissions worldwide. We have pilot plants or even large scale commercial deployment of solvent based carbon capture plants. However it is still a technical challenge to operate and control such plants, especially when it is integrated with various power plants.

This project aims to develop (transfer function or state space) models using system identification (with experimental data from our pilot plant or our developed models for solvent based carbon capture). An alternative is to build reduced model from detail first principle models for solvent based carbon capture. The models will be further used for process control.        

For further information contact Professor Meihong Wang (

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