Abstract
This paper studied mass transfer in rotating packed bed (RPB) which has the potential to significantly reduce capital and operating costs in post-combustion CO2 capture. To model intensified absorber, mass transfer correlations were implemented in visual FORTRAN and then were dynamically linked with Aspen Plus® rate-based model. Therefore, this represents a newly developed model for intensified absorber using RPB. Two sets of mass transfer correlations were studied and compared through model validations. The second set of correlations performed better at the MEA concentrations tested as compared with the first set of correlations. For insights into the design and operation of intensified absorber, process analysis was carried out, which indicates: (a) With fixed RPB equipment size and fixed Lean MEA flow rate, CO2 capture level decreases with increase in flue gas flow rate; (b) Higher lean MEA inlet temperature leads to higher CO2 capture level. (c) At higher flue gas temperature (from 30 °C to 80 °C), the CO2 capture level of the intensified absorber can be maintained. Compared with conventional absorber using packed columns, the insights obtained from this study are (1) Intensified absorber using rotating packed bed (RPB) improves mass transfer significantly. (2) Cooling duty cost can be saved since higher lean MEA temperature and/or higher flue gas temperature shows little or no effect on the performance of the RPB.
Highlights
The results show that CO2 capture level increases significantly from 25 oC to 50 oC lean MEA temperatures
The results show that the CO2 capture level is maintained despite increase in the flue gas temperature
The rotating packed bed (RPB) absorber was modelled in Aspen Plus(R) which is dynamically linked with visual FORTRAN
Summary
Carbon dioxide (CO2) emission has become crucial environmental concern in recent years because of its contribution to global warming. In order to meet the set target of 50% emission reduction as compared to the level of 1990 as proposed by Intergovernmental panel on climate change (IPCC) [4], carbon capture and storage (CCS) is an important option for that to be achieved. Lawal et al [8,9,10] carried out dynamic modelling of CO2 absorption for post-combustion capture in coal-fired power plants. In these studies, one of the identified challenges to the commercial roll out of the technology has been the large size of the packed columns needed. Σ liquid surface tension (N/m) σc critical surface tension (N/m) vL kinematic liquid viscosity (m2/s) vG kinematic gas viscosity (m2/s)
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