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Modelling advanced adsorption processes for post-combustion capture.

Modelling advanced adsorption processes for post-combustion capture.
Modelling advanced adsorption processes for post-combustion capture.

Supervisors - Prof. Stefano Brandani, University of Edinburgh and Prof. Paul Wright, Univesity of St. Andrews

PhD Student - Alessio Centineo, University of Edinburgh

Status - Closed

The proposed project builds on the significant adsorption research programme [2] in the carbon capture group at the University of Edinburgh as part of the Scottish Carbon Capture and Storage centre. The student will have access to existing equipment and data. There will be 3 main tasks to the project:

1) In collaboration with Process Systems Enterprise (PSE) we will define base case studies and develop detailed models for rapid thermal swing adsorption and advanced multistage vacuum swing adsorption processes. These will consider initially a pre-dried feed gas stream.

2) Develop a detailed model, with experimental validation, of a hybrid condenser/adsorption process to dry the flue gas.

3) Study the process integration options for case studies (as in 1 above) including both coal and gas fired power plants.

While most current research does address to some extent points 1 and 3, there is very limited fundamental information on point 2. The challenge is to arrive at a reliable process model, but this is particularly difficult since water in adsorbent particles will give rise to a combination of capillary condensation and adsorption in nanopores. This combination is complex since in capillary condensation adsorption and desorption are significantly different, i.e. there will be a hysteresis in the equilibrium curves. A specially designed zero length column cell will be used to measure both adsorbed amounts and temperatures and will allow the development of a reliable model for adsorption and desorption of water in pelletised adsorbents. Further validation will be carried out on a purposely built breakthrough experiment that will include multipoint temperature measurements. The other key issue that the study will be able to address is the amount of CO2 that will be adsorbed in the drying units, which can in turn affect the overall process recovery. It is worth noting that for carbon capture applications recoveries of 90+% and purities of 95+% are required and therefore to be able to predict the process performance very accurate models are needed. The modelling framework will allow the direct comparison of adsorbents that require a dry feed gas, which can have very high adsorption capacities, and those that do not loose adsorption capacity in the presence of water, but have typically a lower capacity for CO2.