Optimisation of a post-combustion CO2 capture plant in brown coal-fired power stations (2011-2015)
Amine solvent based post-combustion CO2 capture (PCC) is likely to be the first carbon capture technology to be deployed on a large scale worldwide. However before the technology can be implemented, a better understanding of the dynamic behaviour and optimisation of process conditions is required through process modelling.
The objective of the research project is to develop an optimisation model for amine solvent-based PCC plants operating in brown coal-fired power plants that focus on maximising technical and financial performance while minimising solvent loss, process waste and environmental impact. Furthermore, the feasibility of flexible operation of PCC in brown coal-fired power stations can be evaluated through steady state and dynamic process simulation of the model.
The scientific objectives of the research project include:
- Identification of key PCC plant parameters over dynamic time scales. Process-related parameters that have the greatest influence on the performance and cost of these systems will be identified;
- Develop a validated model for steady state and dynamic analysis of the PCC process in a brown coal-fired power plant;
- Use strategies such as flexible operation or control technologies to optimise the PCC process in a brown coal-fired power plant for maximised technical performance while cost and environmental impact are minimised.
This research is carried out as PhD project of Ms. Mai Bui under the supervision of Dr. Indra Gunawan and Dr. Vincent Verheyen (Federation University Australia, Gippsland Campus) in collaboration with Dr. Erik Meuleman, Dr. Paul Feron (CSIRO) and Loy Yang power station.
Dr Indra Gunawan