(227f) The Challenges Associated with Amine-Containing 3D Printed Sorbents and Their Impacts on the Cost of CO2 Capture By Temperature Swing Adsorption (TSA) Process.
AIChE Annual Meeting
2024
2024 AIChE Annual Meeting
Separations Division
Structured Adsorbents: Beyond Pellets and Beads
Monday, October 28, 2024 - 4:50pm to 5:06pm
Sorbents containing amine groups are touted as alternatives to zeolites and MOFs owing to their strong CO2 adsorption and tolerance to moisture3. Recent studies from our laboratory evaluated 3D printed sorbents containing amine groups towards post-combustion CO2 capture by vacuum swing adsorption processes4-6. The 3D-printed sorbent contained multi-walled carbon nanotubes (MWCNT) and polyethylene imine. The sorbent was printed on a kg scale with good reproducibility in printing achieved. Further, rigorous process optimization showed that the sorbent was able to achieve 95% purity and 90% recovery targets for capturing CO2 from a 15% CO2 stream available at 90°C. Despite the promise shown from simulations, laboratory tests revealed that these sorbents suffered from stability issues5-6. This was evident from the significant capacity loss over time as well as the differences in the capacity between the precursor paste and the printed structure. This can have a significant impact on the overall cost of the process.
The current study is undertaken to understand the effect of the sorbent lifetime and the cost of the 3D printing process on the levelized cost of electricity (LCOE) and the specific primary energy consumption for CO2 avoided (SPECCA) for CO2 capture from a representative natural gas combustion cycle process with exhaust gas recirculation (NGCC-EGR). EGR offers advantages of higher CO2 concentration and low oxygen content7. The feed was available at 40°C and 1 atmosphere and contained 7.6% CO2. For this study a 5-step TSA process consisting of adsorption heavy reflux, heating, light reflux and cooling shown in Figure 1 is selected. Rigorous process optimization was performed to identify the minimum SPECCA and LCOE for 95% purity and 90% recovery targets. The performance of the 3D-printed sorbent was benchmarked against reference-packed bed systems containing a similar sorbent.
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