1. Improving hypercrosslinked polymer CO2/N2 selective separation through tuning polymer's porous properties: Optimization using RSM-BBD
- Author
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Forough Bahmei, Alireza Hemmati, Ahad Ghaemi, and Maryam Bahreini
- Subjects
Hypercrosslinked adsorbent ,Waste-expanded polystyrene ,CO2/N2 selectivity ,Response surface method (RSM) ,IAST theory ,Optimization ,Technology - Abstract
This study investigates the effect of synthesis and operating parameters on the adsorption of CO2 and N2 and the CO2/N2 selectivity of a hypercrosslinked adsorbent based on waste-expanded polystyrene. Six factors were examined, including synthesis time, crosslinker and catalyst amounts, adsorption temperature and pressure, and CO2 percentage in the mixture. The response surface methodology (RSM) and ideal adsorbed solution theory (IAST) were employed to design the experiment. After synthesizing 19 adsorbents under different conditions, characterization tests were conducted. Results indicate that the specific surface area and micropore volume initially increase and then decrease with increased synthesis time, crosslinker, and catalyst amounts. The highest specific surface area and micropore volume were 803.84 m2/g and 0.1355 cm3/g, respectively. CO2/N2 selectivity and the adsorption of CO2 and N2 also increase and decrease with increased synthesis parameters. Furthermore, it was observed that CO2 adsorption and CO2/N2 selectivity increased with an increase in pressure and CO2 percentage and a decrease in temperature, while N2 adsorption decreased. The adsorbents were optimized using RSM to maximize CO2 adsorption and CO2/N2 selectivity with a target of 15 % CO2 in the gas mixture. The optimal synthesis parameters for the hypercrosslinked adsorbent, including synthesis time, crosslinker, and catalyst amounts, were determined to be approximately 13 hours, 30 mmol, and 30 mmol, respectively. Under optimal conditions for flue gas applications (CO2:N2/15:85), the adsorbent demonstrated a CO2/N2 selectivity of 11.05, making it suitable for flue gas capture.
- Published
- 2024
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