微型多孔材料
选择性
吸附
烟气
部分
二乙醇胺
聚合物
气体分离
胺气处理
巴勒
化学工程
材料科学
高分子化学
化学
有机化学
催化作用
吸附
膜
工程类
生物化学
作者
Mahmoud A. Abdulhamid,Rifan Hardian,Prashant M. Bhatt,Shuvo Jit Datta,Adrián Ramírez,Jorge Gascón,Mohamed Eddaoudi,György Székely
标识
DOI:10.1016/j.apmt.2021.101271
摘要
Polybenzimidazole (PBI) is a high-performance polymer that exhibits high thermal and chemical stability. However, it suffers from low porosity and low fractional free volume, which hinder its application as separation material. Herein, we demonstrate the molecular engineering of gas separation materials by manipulating a PBI backbone possessing kinked moieties. PBI was selected as it contains NH groups which increase the affinity towards CO2, increase sorption capacity, and favors CO2 over other gasses. We have designed and synthesized an intrinsically microporous polybenzimidazole (iPBI) featuring a spirobisindane structure. Introducing a kinked moiety in conjunction with crosslinking enhanced the polymer properties, markedly increasing the gas separation performance. In particular, the BET surface area of PBI increased 30-fold by replacing a flat benzene ring with a kinked structure. iPBI displayed a good CO2 uptake of 1.4 mmol g−1 at 1 bar and 3.6 mmol g−1 at 10 bar. Gas sorption uptake and breakthrough experiments were conducted using mixtures of CO2/CH4 (50%/50%) and CO2/N2 (50%/50%), which revealed the high selectivity of CO2 over both CH4 and N2. The obtained CO2/N2 selectivity is attractive for power plant flue gas application requiring CO2 capturing materials. Energy and process simulations of biogas CO2 removal demonstrated that up to 70% of the capture energy could be saved when iPBI was used rather than the current amine technology (methyl diethanolamine [MDEA]). Similarly, the combination of iPBI and MDEA in a hybrid system exhibited the highest CO2 capture yield (99%), resulting in nearly 50% energy saving. The concept of enhancing the porosity of PBI using kinked moieties provides new scope for designing highly porous polybenzimidazoles for various separation processes.
科研通智能强力驱动
Strongly Powered by AbleSci AI